SkeletonAgent / uav_csv1 /k_2 /20250603_132320.log
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2025-06-03 13:23:20,324 - pyskl - INFO - Environment info:
------------------------------------------------------------
sys.platform: linux
Python: 3.7.11 (default, Jul 27 2021, 14:32:16) [GCC 7.5.0]
CUDA available: True
GPU 0,1: Tesla V100-PCIE-32GB
CUDA_HOME: /usr/local/cuda-11.7
NVCC: Cuda compilation tools, release 11.7, V11.7.64
GCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.2) 9.4.0
PyTorch: 1.11.0
PyTorch compiling details: PyTorch built with:
- GCC 7.3
- C++ Version: 201402
- Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications
- Intel(R) MKL-DNN v2.5.2 (Git Hash a9302535553c73243c632ad3c4c80beec3d19a1e)
- 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 8.2
- Magma 2.5.2
- Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.2.0, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.11.0, 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: 0.12.0
OpenCV: 4.8.0
MMCV: 1.5.0
MMCV Compiler: GCC 7.3
MMCV CUDA Compiler: 11.3
pyskl: 0.1.0+
------------------------------------------------------------
2025-06-03 13:23:20,628 - pyskl - INFO - Config: modality = 'k'
graph = 'uav'
work_dir = './work_dirs/uav_csv1/k_2'
model = dict(
type='RecognizerGCN',
backbone=dict(
type='GCN_Module_LLM',
llm_model='gpt4o',
llm_modality='k',
num_classes=155,
tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'],
graph_cfg=dict(
layout='uav',
mode='random',
num_filter=8,
init_off=0.04,
init_std=0.02)),
cls_head=dict(
type='SimpleHead',
joint_cfg='uav',
num_classes=155,
in_channels=384,
work_dir='./work_dirs/uav_csv1/k_2',
interval_epoch=50,
weight_1=0.05,
weight_2=0.2))
dataset_type = 'PoseDataset'
ann_file = '/data/lhd/pyskl_data/uav/uav_human_CSv1.pkl'
train_pipeline = [
dict(type='UniformSampleFrames', clip_len=100),
dict(type='PoseDecode'),
dict(type='GenSkeFeat', dataset='uav', feats=['k']),
dict(type='FormatGCNInput', num_person=2),
dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]),
dict(type='ToTensor', keys=['keypoint'])
]
val_pipeline = [
dict(type='UniformSampleFrames', clip_len=100, num_clips=1),
dict(type='PoseDecode'),
dict(type='GenSkeFeat', dataset='uav', feats=['k']),
dict(type='FormatGCNInput', num_person=2),
dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]),
dict(type='ToTensor', keys=['keypoint'])
]
test_pipeline = [
dict(type='UniformSampleFrames', clip_len=100, num_clips=10),
dict(type='PoseDecode'),
dict(type='GenSkeFeat', dataset='uav', feats=['k']),
dict(type='FormatGCNInput', num_person=2),
dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]),
dict(type='ToTensor', keys=['keypoint'])
]
data = dict(
videos_per_gpu=16,
workers_per_gpu=4,
test_dataloader=dict(videos_per_gpu=1),
train=dict(
type='PoseDataset',
ann_file='/data/lhd/pyskl_data/uav/uav_human_CSv1.pkl',
pipeline=[
dict(type='UniformSampleFrames', clip_len=100),
dict(type='PoseDecode'),
dict(type='GenSkeFeat', dataset='uav', feats=['k']),
dict(type='FormatGCNInput', num_person=2),
dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]),
dict(type='ToTensor', keys=['keypoint'])
],
split='train'),
val=dict(
type='PoseDataset',
ann_file='/data/lhd/pyskl_data/uav/uav_human_CSv1.pkl',
pipeline=[
dict(type='UniformSampleFrames', clip_len=100, num_clips=1),
dict(type='PoseDecode'),
dict(type='GenSkeFeat', dataset='uav', feats=['k']),
dict(type='FormatGCNInput', num_person=2),
dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]),
dict(type='ToTensor', keys=['keypoint'])
],
split='val'),
test=dict(
type='PoseDataset',
ann_file='/data/lhd/pyskl_data/uav/uav_human_CSv1.pkl',
pipeline=[
dict(type='UniformSampleFrames', clip_len=100, num_clips=10),
dict(type='PoseDecode'),
dict(type='GenSkeFeat', dataset='uav', feats=['k']),
dict(type='FormatGCNInput', num_person=2),
dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]),
dict(type='ToTensor', keys=['keypoint'])
],
split='val'))
optimizer = dict(
type='SGD', lr=0.05, momentum=0.9, weight_decay=0.0005, nesterov=True)
optimizer_config = dict(grad_clip=None)
lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False)
total_epochs = 300
checkpoint_config = dict(interval=1)
evaluation = dict(
interval=1, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5))
log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')])
dist_params = dict(backend='nccl')
gpu_ids = range(0, 2)
2025-06-03 13:23:23,272 - pyskl - INFO - Set random seed to 1735955994, deterministic: False
2025-06-03 13:23:32,900 - pyskl - INFO - 16724 videos remain after valid thresholding
2025-06-03 13:23:40,145 - pyskl - INFO - 6307 videos remain after valid thresholding
2025-06-03 13:23:40,199 - pyskl - INFO - Start running, host: lhd@zkyd, work_dir: /home/lhd/pyskl/work_dirs/uav_csv1/k_2
2025-06-03 13:23:40,200 - pyskl - INFO - Hooks will be executed in the following order:
before_run:
(VERY_HIGH ) CosineAnnealingLrUpdaterHook
(NORMAL ) CustomCheckpointHook
(NORMAL ) DistEvalHook
(VERY_LOW ) TextLoggerHook
--------------------
before_train_epoch:
(VERY_HIGH ) CosineAnnealingLrUpdaterHook
(NORMAL ) DistSamplerSeedHook
(NORMAL ) DistEvalHook
(LOW ) IterTimerHook
(VERY_LOW ) TextLoggerHook
--------------------
before_train_iter:
(VERY_HIGH ) CosineAnnealingLrUpdaterHook
(NORMAL ) DistEvalHook
(LOW ) IterTimerHook
--------------------
after_train_iter:
(ABOVE_NORMAL) OptimizerHook
(NORMAL ) CustomCheckpointHook
(NORMAL ) DistEvalHook
(LOW ) IterTimerHook
(VERY_LOW ) TextLoggerHook
--------------------
after_train_epoch:
(NORMAL ) CustomCheckpointHook
(NORMAL ) DistEvalHook
(VERY_LOW ) TextLoggerHook
--------------------
before_val_epoch:
(NORMAL ) DistSamplerSeedHook
(LOW ) IterTimerHook
(VERY_LOW ) TextLoggerHook
--------------------
before_val_iter:
(LOW ) IterTimerHook
--------------------
after_val_iter:
(LOW ) IterTimerHook
--------------------
after_val_epoch:
(VERY_LOW ) TextLoggerHook
--------------------
after_run:
(VERY_LOW ) TextLoggerHook
--------------------
2025-06-03 13:23:40,200 - pyskl - INFO - workflow: [('train', 1)], max: 300 epochs
2025-06-03 13:23:40,200 - pyskl - INFO - Checkpoints will be saved to /home/lhd/pyskl/work_dirs/uav_csv1/k_2 by HardDiskBackend.
2025-06-03 13:24:49,824 - pyskl - INFO - Epoch [1][100/523] lr: 5.000e-02, eta: 1 day, 6:19:22, time: 0.696, data_time: 0.256, memory: 7954, top1_acc: 0.0075, top5_acc: 0.0459, loss_cls: 10.9434, loss: 10.9434
2025-06-03 13:25:33,568 - pyskl - INFO - Epoch [1][200/523] lr: 5.000e-02, eta: 1 day, 0:40:15, time: 0.437, data_time: 0.000, memory: 7954, top1_acc: 0.0112, top5_acc: 0.0572, loss_cls: 10.4176, loss: 10.4176
2025-06-03 13:26:17,635 - pyskl - INFO - Epoch [1][300/523] lr: 5.000e-02, eta: 22:49:37, time: 0.441, data_time: 0.000, memory: 7954, top1_acc: 0.0112, top5_acc: 0.0609, loss_cls: 10.2937, loss: 10.2937
2025-06-03 13:27:01,465 - pyskl - INFO - Epoch [1][400/523] lr: 5.000e-02, eta: 21:52:22, time: 0.438, data_time: 0.000, memory: 7954, top1_acc: 0.0178, top5_acc: 0.0856, loss_cls: 10.1355, loss: 10.1355
2025-06-03 13:27:44,469 - pyskl - INFO - Epoch [1][500/523] lr: 5.000e-02, eta: 21:13:22, time: 0.430, data_time: 0.000, memory: 7954, top1_acc: 0.0222, top5_acc: 0.0953, loss_cls: 10.0095, loss: 10.0095
2025-06-03 13:27:55,337 - pyskl - INFO - Saving checkpoint at 1 epochs
2025-06-03 13:28:23,300 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 13:28:23,365 - pyskl - INFO -
top1_acc 0.0116
top5_acc 0.0626
2025-06-03 13:28:23,366 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 13:28:23,372 - pyskl - INFO -
mean_acc 0.0134
2025-06-03 13:28:24,874 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_1.pth.
2025-06-03 13:28:24,876 - pyskl - INFO - Best top1_acc is 0.0116 at 1 epoch.
2025-06-03 13:28:24,879 - pyskl - INFO - Epoch(val) [1][198] top1_acc: 0.0116, top5_acc: 0.0626, mean_class_accuracy: 0.0134
2025-06-03 13:29:32,399 - pyskl - INFO - Epoch [2][100/523] lr: 5.000e-02, eta: 21:43:25, time: 0.675, data_time: 0.252, memory: 7954, top1_acc: 0.0234, top5_acc: 0.1269, loss_cls: 9.7810, loss: 9.7810
2025-06-03 13:30:16,640 - pyskl - INFO - Epoch [2][200/523] lr: 5.000e-02, eta: 21:21:42, time: 0.442, data_time: 0.000, memory: 7954, top1_acc: 0.0413, top5_acc: 0.1528, loss_cls: 9.6269, loss: 9.6269
2025-06-03 13:31:00,949 - pyskl - INFO - Epoch [2][300/523] lr: 5.000e-02, eta: 21:05:17, time: 0.443, data_time: 0.000, memory: 7954, top1_acc: 0.0484, top5_acc: 0.1791, loss_cls: 9.4838, loss: 9.4838
2025-06-03 13:31:45,165 - pyskl - INFO - Epoch [2][400/523] lr: 5.000e-02, eta: 20:52:00, time: 0.442, data_time: 0.000, memory: 7954, top1_acc: 0.0525, top5_acc: 0.2147, loss_cls: 9.2149, loss: 9.2149
2025-06-03 13:32:29,432 - pyskl - INFO - Epoch [2][500/523] lr: 4.999e-02, eta: 20:41:19, time: 0.443, data_time: 0.000, memory: 7954, top1_acc: 0.0587, top5_acc: 0.2350, loss_cls: 9.0299, loss: 9.0299
2025-06-03 13:32:40,290 - pyskl - INFO - Saving checkpoint at 2 epochs
2025-06-03 13:33:08,471 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 13:33:08,540 - pyskl - INFO -
top1_acc 0.0407
top5_acc 0.1557
2025-06-03 13:33:08,541 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 13:33:08,548 - pyskl - INFO -
mean_acc 0.0423
2025-06-03 13:33:08,607 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/k_2/best_top1_acc_epoch_1.pth was removed
2025-06-03 13:33:10,226 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_2.pth.
2025-06-03 13:33:10,228 - pyskl - INFO - Best top1_acc is 0.0407 at 2 epoch.
2025-06-03 13:33:10,231 - pyskl - INFO - Epoch(val) [2][198] top1_acc: 0.0407, top5_acc: 0.1557, mean_class_accuracy: 0.0423
2025-06-03 13:34:20,401 - pyskl - INFO - Epoch [3][100/523] lr: 4.999e-02, eta: 21:06:09, time: 0.702, data_time: 0.258, memory: 7957, top1_acc: 0.0650, top5_acc: 0.2656, loss_cls: 8.8805, loss: 8.8805
2025-06-03 13:35:04,773 - pyskl - INFO - Epoch [3][200/523] lr: 4.999e-02, eta: 20:56:10, time: 0.444, data_time: 0.000, memory: 7957, top1_acc: 0.0809, top5_acc: 0.2991, loss_cls: 8.7497, loss: 8.7497
2025-06-03 13:35:49,047 - pyskl - INFO - Epoch [3][300/523] lr: 4.999e-02, eta: 20:47:22, time: 0.443, data_time: 0.000, memory: 7957, top1_acc: 0.0912, top5_acc: 0.3444, loss_cls: 8.6140, loss: 8.6140
2025-06-03 13:36:33,053 - pyskl - INFO - Epoch [3][400/523] lr: 4.999e-02, eta: 20:39:11, time: 0.440, data_time: 0.000, memory: 7957, top1_acc: 0.1131, top5_acc: 0.3700, loss_cls: 8.4705, loss: 8.4705
2025-06-03 13:37:17,455 - pyskl - INFO - Epoch [3][500/523] lr: 4.999e-02, eta: 20:32:40, time: 0.444, data_time: 0.000, memory: 7957, top1_acc: 0.1381, top5_acc: 0.4219, loss_cls: 8.2330, loss: 8.2330
2025-06-03 13:37:28,305 - pyskl - INFO - Saving checkpoint at 3 epochs
2025-06-03 13:37:56,422 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 13:37:56,494 - pyskl - INFO -
top1_acc 0.0851
top5_acc 0.2867
2025-06-03 13:37:56,494 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 13:37:56,502 - pyskl - INFO -
mean_acc 0.0859
2025-06-03 13:37:56,562 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/k_2/best_top1_acc_epoch_2.pth was removed
2025-06-03 13:37:58,070 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_3.pth.
2025-06-03 13:37:58,071 - pyskl - INFO - Best top1_acc is 0.0851 at 3 epoch.
2025-06-03 13:37:58,074 - pyskl - INFO - Epoch(val) [3][198] top1_acc: 0.0851, top5_acc: 0.2867, mean_class_accuracy: 0.0859
2025-06-03 13:39:07,516 - pyskl - INFO - Epoch [4][100/523] lr: 4.999e-02, eta: 20:48:33, time: 0.694, data_time: 0.252, memory: 7957, top1_acc: 0.1541, top5_acc: 0.4963, loss_cls: 8.0047, loss: 8.0047
2025-06-03 13:39:51,735 - pyskl - INFO - Epoch [4][200/523] lr: 4.998e-02, eta: 20:41:50, time: 0.442, data_time: 0.000, memory: 7957, top1_acc: 0.1731, top5_acc: 0.4931, loss_cls: 7.9283, loss: 7.9283
2025-06-03 13:40:35,809 - pyskl - INFO - Epoch [4][300/523] lr: 4.998e-02, eta: 20:35:34, time: 0.441, data_time: 0.000, memory: 7957, top1_acc: 0.1906, top5_acc: 0.5212, loss_cls: 7.8039, loss: 7.8039
2025-06-03 13:41:19,472 - pyskl - INFO - Epoch [4][400/523] lr: 4.998e-02, eta: 20:29:19, time: 0.437, data_time: 0.000, memory: 7957, top1_acc: 0.1797, top5_acc: 0.5325, loss_cls: 7.6627, loss: 7.6627
2025-06-03 13:42:03,211 - pyskl - INFO - Epoch [4][500/523] lr: 4.998e-02, eta: 20:23:42, time: 0.437, data_time: 0.000, memory: 7957, top1_acc: 0.2109, top5_acc: 0.5659, loss_cls: 7.6084, loss: 7.6084
2025-06-03 13:42:13,865 - pyskl - INFO - Saving checkpoint at 4 epochs
2025-06-03 13:42:42,699 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 13:42:42,767 - pyskl - INFO -
top1_acc 0.1270
top5_acc 0.3612
2025-06-03 13:42:42,768 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 13:42:42,775 - pyskl - INFO -
mean_acc 0.1268
2025-06-03 13:42:42,837 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/k_2/best_top1_acc_epoch_3.pth was removed
2025-06-03 13:42:44,370 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_4.pth.
2025-06-03 13:42:44,372 - pyskl - INFO - Best top1_acc is 0.1270 at 4 epoch.
2025-06-03 13:42:44,374 - pyskl - INFO - Epoch(val) [4][198] top1_acc: 0.1270, top5_acc: 0.3612, mean_class_accuracy: 0.1268
2025-06-03 13:43:54,054 - pyskl - INFO - Epoch [5][100/523] lr: 4.998e-02, eta: 20:36:05, time: 0.697, data_time: 0.258, memory: 7957, top1_acc: 0.2275, top5_acc: 0.5934, loss_cls: 7.4286, loss: 7.4286
2025-06-03 13:44:38,460 - pyskl - INFO - Epoch [5][200/523] lr: 4.997e-02, eta: 20:31:18, time: 0.444, data_time: 0.000, memory: 7957, top1_acc: 0.2334, top5_acc: 0.5962, loss_cls: 7.3560, loss: 7.3560
2025-06-03 13:45:22,846 - pyskl - INFO - Epoch [5][300/523] lr: 4.997e-02, eta: 20:26:51, time: 0.444, data_time: 0.000, memory: 7957, top1_acc: 0.2472, top5_acc: 0.6147, loss_cls: 7.3164, loss: 7.3164
2025-06-03 13:46:07,102 - pyskl - INFO - Epoch [5][400/523] lr: 4.997e-02, eta: 20:22:33, time: 0.443, data_time: 0.000, memory: 7957, top1_acc: 0.2512, top5_acc: 0.6156, loss_cls: 7.3290, loss: 7.3290
2025-06-03 13:46:51,137 - pyskl - INFO - Epoch [5][500/523] lr: 4.997e-02, eta: 20:18:19, time: 0.440, data_time: 0.000, memory: 7957, top1_acc: 0.2938, top5_acc: 0.6438, loss_cls: 7.0431, loss: 7.0431
2025-06-03 13:47:01,934 - pyskl - INFO - Saving checkpoint at 5 epochs
2025-06-03 13:47:30,249 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 13:47:30,317 - pyskl - INFO -
top1_acc 0.1598
top5_acc 0.4264
2025-06-03 13:47:30,318 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 13:47:30,325 - pyskl - INFO -
mean_acc 0.1602
2025-06-03 13:47:30,384 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/k_2/best_top1_acc_epoch_4.pth was removed
2025-06-03 13:47:31,927 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_5.pth.
2025-06-03 13:47:31,928 - pyskl - INFO - Best top1_acc is 0.1598 at 5 epoch.
2025-06-03 13:47:31,931 - pyskl - INFO - Epoch(val) [5][198] top1_acc: 0.1598, top5_acc: 0.4264, mean_class_accuracy: 0.1602
2025-06-03 13:48:41,721 - pyskl - INFO - Epoch [6][100/523] lr: 4.996e-02, eta: 20:28:15, time: 0.698, data_time: 0.255, memory: 7957, top1_acc: 0.2872, top5_acc: 0.6725, loss_cls: 7.0119, loss: 7.0119
2025-06-03 13:49:25,625 - pyskl - INFO - Epoch [6][200/523] lr: 4.996e-02, eta: 20:23:54, time: 0.439, data_time: 0.000, memory: 7957, top1_acc: 0.3019, top5_acc: 0.6819, loss_cls: 6.9098, loss: 6.9098
2025-06-03 13:50:09,921 - pyskl - INFO - Epoch [6][300/523] lr: 4.996e-02, eta: 20:20:09, time: 0.443, data_time: 0.000, memory: 7957, top1_acc: 0.3034, top5_acc: 0.6734, loss_cls: 6.8912, loss: 6.8912
2025-06-03 13:50:53,664 - pyskl - INFO - Epoch [6][400/523] lr: 4.995e-02, eta: 20:16:07, time: 0.437, data_time: 0.000, memory: 7957, top1_acc: 0.3194, top5_acc: 0.6853, loss_cls: 6.9588, loss: 6.9588
2025-06-03 13:51:37,904 - pyskl - INFO - Epoch [6][500/523] lr: 4.995e-02, eta: 20:12:43, time: 0.442, data_time: 0.000, memory: 7957, top1_acc: 0.3166, top5_acc: 0.6969, loss_cls: 6.8128, loss: 6.8128
2025-06-03 13:51:48,697 - pyskl - INFO - Saving checkpoint at 6 epochs
2025-06-03 13:52:16,846 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 13:52:16,917 - pyskl - INFO -
top1_acc 0.1969
top5_acc 0.4646
2025-06-03 13:52:16,918 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 13:52:16,926 - pyskl - INFO -
mean_acc 0.1974
2025-06-03 13:52:16,987 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/k_2/best_top1_acc_epoch_5.pth was removed
2025-06-03 13:52:18,665 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_6.pth.
2025-06-03 13:52:18,667 - pyskl - INFO - Best top1_acc is 0.1969 at 6 epoch.
2025-06-03 13:52:18,670 - pyskl - INFO - Epoch(val) [6][198] top1_acc: 0.1969, top5_acc: 0.4646, mean_class_accuracy: 0.1974
2025-06-03 13:53:26,592 - pyskl - INFO - Epoch [7][100/523] lr: 4.995e-02, eta: 20:19:26, time: 0.679, data_time: 0.254, memory: 7960, top1_acc: 0.3194, top5_acc: 0.6900, loss_cls: 6.7544, loss: 6.7544
2025-06-03 13:54:10,601 - pyskl - INFO - Epoch [7][200/523] lr: 4.994e-02, eta: 20:15:52, time: 0.440, data_time: 0.000, memory: 7960, top1_acc: 0.3312, top5_acc: 0.7094, loss_cls: 6.7112, loss: 6.7112
2025-06-03 13:54:54,601 - pyskl - INFO - Epoch [7][300/523] lr: 4.994e-02, eta: 20:12:28, time: 0.440, data_time: 0.000, memory: 7960, top1_acc: 0.3466, top5_acc: 0.7219, loss_cls: 6.6219, loss: 6.6219
2025-06-03 13:55:38,384 - pyskl - INFO - Epoch [7][400/523] lr: 4.994e-02, eta: 20:09:04, time: 0.438, data_time: 0.000, memory: 7960, top1_acc: 0.3441, top5_acc: 0.7137, loss_cls: 6.6071, loss: 6.6071
2025-06-03 13:56:21,052 - pyskl - INFO - Epoch [7][500/523] lr: 4.993e-02, eta: 20:05:01, time: 0.427, data_time: 0.000, memory: 7960, top1_acc: 0.3588, top5_acc: 0.7331, loss_cls: 6.6186, loss: 6.6186
2025-06-03 13:56:31,915 - pyskl - INFO - Saving checkpoint at 7 epochs
2025-06-03 13:57:00,225 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 13:57:00,298 - pyskl - INFO -
top1_acc 0.2080
top5_acc 0.4687
2025-06-03 13:57:00,298 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 13:57:00,308 - pyskl - INFO -
mean_acc 0.2074
2025-06-03 13:57:00,366 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/k_2/best_top1_acc_epoch_6.pth was removed
2025-06-03 13:57:01,927 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_7.pth.
2025-06-03 13:57:01,930 - pyskl - INFO - Best top1_acc is 0.2080 at 7 epoch.
2025-06-03 13:57:01,933 - pyskl - INFO - Epoch(val) [7][198] top1_acc: 0.2080, top5_acc: 0.4687, mean_class_accuracy: 0.2074
2025-06-03 13:58:11,226 - pyskl - INFO - Epoch [8][100/523] lr: 4.993e-02, eta: 20:11:42, time: 0.693, data_time: 0.264, memory: 7960, top1_acc: 0.3816, top5_acc: 0.7419, loss_cls: 6.4961, loss: 6.4961
2025-06-03 13:58:55,490 - pyskl - INFO - Epoch [8][200/523] lr: 4.993e-02, eta: 20:08:47, time: 0.443, data_time: 0.000, memory: 7960, top1_acc: 0.3809, top5_acc: 0.7528, loss_cls: 6.3956, loss: 6.3956
2025-06-03 13:59:39,673 - pyskl - INFO - Epoch [8][300/523] lr: 4.992e-02, eta: 20:05:55, time: 0.442, data_time: 0.000, memory: 7960, top1_acc: 0.3675, top5_acc: 0.7344, loss_cls: 6.4872, loss: 6.4872
2025-06-03 14:00:24,084 - pyskl - INFO - Epoch [8][400/523] lr: 4.992e-02, eta: 20:03:19, time: 0.444, data_time: 0.000, memory: 7960, top1_acc: 0.3803, top5_acc: 0.7469, loss_cls: 6.3549, loss: 6.3549
2025-06-03 14:01:08,491 - pyskl - INFO - Epoch [8][500/523] lr: 4.991e-02, eta: 20:00:48, time: 0.444, data_time: 0.000, memory: 7960, top1_acc: 0.3850, top5_acc: 0.7547, loss_cls: 6.2930, loss: 6.2930
2025-06-03 14:01:19,219 - pyskl - INFO - Saving checkpoint at 8 epochs
2025-06-03 14:01:47,347 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 14:01:47,414 - pyskl - INFO -
top1_acc 0.2164
top5_acc 0.4600
2025-06-03 14:01:47,414 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 14:01:47,422 - pyskl - INFO -
mean_acc 0.2160
2025-06-03 14:01:47,479 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/k_2/best_top1_acc_epoch_7.pth was removed
2025-06-03 14:01:48,959 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_8.pth.
2025-06-03 14:01:48,961 - pyskl - INFO - Best top1_acc is 0.2164 at 8 epoch.
2025-06-03 14:01:48,963 - pyskl - INFO - Epoch(val) [8][198] top1_acc: 0.2164, top5_acc: 0.4600, mean_class_accuracy: 0.2160
2025-06-03 14:02:58,396 - pyskl - INFO - Epoch [9][100/523] lr: 4.991e-02, eta: 20:06:36, time: 0.694, data_time: 0.252, memory: 7963, top1_acc: 0.4109, top5_acc: 0.7738, loss_cls: 6.2390, loss: 6.2390
2025-06-03 14:03:42,163 - pyskl - INFO - Epoch [9][200/523] lr: 4.990e-02, eta: 20:03:41, time: 0.438, data_time: 0.000, memory: 7963, top1_acc: 0.4159, top5_acc: 0.7706, loss_cls: 6.2150, loss: 6.2150
2025-06-03 14:04:26,217 - pyskl - INFO - Epoch [9][300/523] lr: 4.990e-02, eta: 20:01:01, time: 0.441, data_time: 0.000, memory: 7963, top1_acc: 0.3972, top5_acc: 0.7628, loss_cls: 6.2429, loss: 6.2429
2025-06-03 14:05:10,404 - pyskl - INFO - Epoch [9][400/523] lr: 4.989e-02, eta: 19:58:31, time: 0.442, data_time: 0.000, memory: 7963, top1_acc: 0.4041, top5_acc: 0.7606, loss_cls: 6.2723, loss: 6.2723
2025-06-03 14:05:54,462 - pyskl - INFO - Epoch [9][500/523] lr: 4.989e-02, eta: 19:56:02, time: 0.441, data_time: 0.000, memory: 7963, top1_acc: 0.4122, top5_acc: 0.7850, loss_cls: 6.2410, loss: 6.2410
2025-06-03 14:06:05,222 - pyskl - INFO - Saving checkpoint at 9 epochs
2025-06-03 14:06:33,662 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 14:06:33,732 - pyskl - INFO -
top1_acc 0.2480
top5_acc 0.5015
2025-06-03 14:06:33,732 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 14:06:33,740 - pyskl - INFO -
mean_acc 0.2459
2025-06-03 14:06:33,796 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/k_2/best_top1_acc_epoch_8.pth was removed
2025-06-03 14:06:35,272 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_9.pth.
2025-06-03 14:06:35,273 - pyskl - INFO - Best top1_acc is 0.2480 at 9 epoch.
2025-06-03 14:06:35,275 - pyskl - INFO - Epoch(val) [9][198] top1_acc: 0.2480, top5_acc: 0.5015, mean_class_accuracy: 0.2459
2025-06-03 14:07:45,033 - pyskl - INFO - Epoch [10][100/523] lr: 4.988e-02, eta: 20:01:16, time: 0.698, data_time: 0.257, memory: 7963, top1_acc: 0.4459, top5_acc: 0.7931, loss_cls: 6.0195, loss: 6.0195
2025-06-03 14:08:29,386 - pyskl - INFO - Epoch [10][200/523] lr: 4.988e-02, eta: 19:58:54, time: 0.444, data_time: 0.000, memory: 7963, top1_acc: 0.4275, top5_acc: 0.7806, loss_cls: 6.0966, loss: 6.0966
2025-06-03 14:09:13,100 - pyskl - INFO - Epoch [10][300/523] lr: 4.987e-02, eta: 19:56:17, time: 0.437, data_time: 0.000, memory: 7963, top1_acc: 0.4359, top5_acc: 0.7906, loss_cls: 6.0890, loss: 6.0890
2025-06-03 14:09:57,400 - pyskl - INFO - Epoch [10][400/523] lr: 4.987e-02, eta: 19:54:02, time: 0.443, data_time: 0.000, memory: 7963, top1_acc: 0.4462, top5_acc: 0.7909, loss_cls: 6.0709, loss: 6.0709
2025-06-03 14:10:41,740 - pyskl - INFO - Epoch [10][500/523] lr: 4.986e-02, eta: 19:51:52, time: 0.443, data_time: 0.000, memory: 7963, top1_acc: 0.4453, top5_acc: 0.7863, loss_cls: 6.0974, loss: 6.0974
2025-06-03 14:10:52,630 - pyskl - INFO - Saving checkpoint at 10 epochs
2025-06-03 14:11:20,704 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 14:11:20,773 - pyskl - INFO -
top1_acc 0.2624
top5_acc 0.5182
2025-06-03 14:11:20,773 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 14:11:20,781 - pyskl - INFO -
mean_acc 0.2628
2025-06-03 14:11:20,838 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/k_2/best_top1_acc_epoch_9.pth was removed
2025-06-03 14:11:22,316 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_10.pth.
2025-06-03 14:11:22,318 - pyskl - INFO - Best top1_acc is 0.2624 at 10 epoch.
2025-06-03 14:11:22,320 - pyskl - INFO - Epoch(val) [10][198] top1_acc: 0.2624, top5_acc: 0.5182, mean_class_accuracy: 0.2628
2025-06-03 14:12:31,020 - pyskl - INFO - Epoch [11][100/523] lr: 4.986e-02, eta: 19:55:58, time: 0.687, data_time: 0.252, memory: 7964, top1_acc: 0.4681, top5_acc: 0.8156, loss_cls: 5.8503, loss: 5.8503
2025-06-03 14:13:14,946 - pyskl - INFO - Epoch [11][200/523] lr: 4.985e-02, eta: 19:53:36, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.4572, top5_acc: 0.8106, loss_cls: 5.9561, loss: 5.9561
2025-06-03 14:13:57,316 - pyskl - INFO - Epoch [11][300/523] lr: 4.985e-02, eta: 19:50:34, time: 0.424, data_time: 0.000, memory: 7964, top1_acc: 0.4516, top5_acc: 0.8016, loss_cls: 5.9792, loss: 5.9792
2025-06-03 14:14:39,789 - pyskl - INFO - Epoch [11][400/523] lr: 4.984e-02, eta: 19:47:40, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 0.4662, top5_acc: 0.7937, loss_cls: 5.9580, loss: 5.9580
2025-06-03 14:15:21,811 - pyskl - INFO - Epoch [11][500/523] lr: 4.984e-02, eta: 19:44:39, time: 0.420, data_time: 0.000, memory: 7964, top1_acc: 0.4603, top5_acc: 0.8000, loss_cls: 6.0079, loss: 6.0079
2025-06-03 14:15:32,151 - pyskl - INFO - Saving checkpoint at 11 epochs
2025-06-03 14:16:00,182 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 14:16:00,249 - pyskl - INFO -
top1_acc 0.2810
top5_acc 0.5411
2025-06-03 14:16:00,249 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 14:16:00,257 - pyskl - INFO -
mean_acc 0.2801
2025-06-03 14:16:00,316 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/k_2/best_top1_acc_epoch_10.pth was removed
2025-06-03 14:16:01,799 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_11.pth.
2025-06-03 14:16:01,800 - pyskl - INFO - Best top1_acc is 0.2810 at 11 epoch.
2025-06-03 14:16:01,802 - pyskl - INFO - Epoch(val) [11][198] top1_acc: 0.2810, top5_acc: 0.5411, mean_class_accuracy: 0.2801
2025-06-03 14:17:10,917 - pyskl - INFO - Epoch [12][100/523] lr: 4.983e-02, eta: 19:48:32, time: 0.691, data_time: 0.252, memory: 7964, top1_acc: 0.4925, top5_acc: 0.8331, loss_cls: 5.6776, loss: 5.6776
2025-06-03 14:17:55,112 - pyskl - INFO - Epoch [12][200/523] lr: 4.982e-02, eta: 19:46:28, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.4688, top5_acc: 0.8131, loss_cls: 5.8246, loss: 5.8246
2025-06-03 14:18:39,089 - pyskl - INFO - Epoch [12][300/523] lr: 4.982e-02, eta: 19:44:21, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.4831, top5_acc: 0.8144, loss_cls: 5.8009, loss: 5.8009
2025-06-03 14:19:23,412 - pyskl - INFO - Epoch [12][400/523] lr: 4.981e-02, eta: 19:42:26, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.4722, top5_acc: 0.8137, loss_cls: 5.8174, loss: 5.8174
2025-06-03 14:20:06,826 - pyskl - INFO - Epoch [12][500/523] lr: 4.980e-02, eta: 19:40:11, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.4800, top5_acc: 0.8175, loss_cls: 5.8211, loss: 5.8211
2025-06-03 14:20:17,451 - pyskl - INFO - Saving checkpoint at 12 epochs
2025-06-03 14:20:45,616 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 14:20:45,683 - pyskl - INFO -
top1_acc 0.2810
top5_acc 0.5404
2025-06-03 14:20:45,684 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 14:20:45,690 - pyskl - INFO -
mean_acc 0.2788
2025-06-03 14:20:45,692 - pyskl - INFO - Epoch(val) [12][198] top1_acc: 0.2810, top5_acc: 0.5404, mean_class_accuracy: 0.2788
2025-06-03 14:21:54,232 - pyskl - INFO - Epoch [13][100/523] lr: 4.980e-02, eta: 19:43:26, time: 0.685, data_time: 0.257, memory: 7964, top1_acc: 0.4997, top5_acc: 0.8244, loss_cls: 5.7379, loss: 5.7379
2025-06-03 14:22:38,171 - pyskl - INFO - Epoch [13][200/523] lr: 4.979e-02, eta: 19:41:24, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.5094, top5_acc: 0.8334, loss_cls: 5.6837, loss: 5.6837
2025-06-03 14:23:22,258 - pyskl - INFO - Epoch [13][300/523] lr: 4.978e-02, eta: 19:39:27, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.4831, top5_acc: 0.8228, loss_cls: 5.7803, loss: 5.7803
2025-06-03 14:24:06,508 - pyskl - INFO - Epoch [13][400/523] lr: 4.978e-02, eta: 19:37:36, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.4806, top5_acc: 0.8166, loss_cls: 5.7414, loss: 5.7414
2025-06-03 14:24:50,629 - pyskl - INFO - Epoch [13][500/523] lr: 4.977e-02, eta: 19:35:45, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.4856, top5_acc: 0.8222, loss_cls: 5.7911, loss: 5.7911
2025-06-03 14:25:01,479 - pyskl - INFO - Saving checkpoint at 13 epochs
2025-06-03 14:25:29,621 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 14:25:29,692 - pyskl - INFO -
top1_acc 0.2835
top5_acc 0.5329
2025-06-03 14:25:29,692 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 14:25:29,699 - pyskl - INFO -
mean_acc 0.2828
2025-06-03 14:25:29,756 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/k_2/best_top1_acc_epoch_11.pth was removed
2025-06-03 14:25:31,360 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_13.pth.
2025-06-03 14:25:31,362 - pyskl - INFO - Best top1_acc is 0.2835 at 13 epoch.
2025-06-03 14:25:31,364 - pyskl - INFO - Epoch(val) [13][198] top1_acc: 0.2835, top5_acc: 0.5329, mean_class_accuracy: 0.2828
2025-06-03 14:26:40,308 - pyskl - INFO - Epoch [14][100/523] lr: 4.976e-02, eta: 19:38:49, time: 0.689, data_time: 0.253, memory: 7964, top1_acc: 0.5012, top5_acc: 0.8381, loss_cls: 5.6290, loss: 5.6290
2025-06-03 14:27:24,423 - pyskl - INFO - Epoch [14][200/523] lr: 4.975e-02, eta: 19:36:57, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.5106, top5_acc: 0.8284, loss_cls: 5.6482, loss: 5.6482
2025-06-03 14:28:08,377 - pyskl - INFO - Epoch [14][300/523] lr: 4.975e-02, eta: 19:35:03, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.4959, top5_acc: 0.8309, loss_cls: 5.6151, loss: 5.6151
2025-06-03 14:28:52,494 - pyskl - INFO - Epoch [14][400/523] lr: 4.974e-02, eta: 19:33:15, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.5025, top5_acc: 0.8350, loss_cls: 5.6060, loss: 5.6060
2025-06-03 14:29:36,428 - pyskl - INFO - Epoch [14][500/523] lr: 4.973e-02, eta: 19:31:25, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.5022, top5_acc: 0.8363, loss_cls: 5.6765, loss: 5.6765
2025-06-03 14:29:47,136 - pyskl - INFO - Saving checkpoint at 14 epochs
2025-06-03 14:30:15,277 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 14:30:15,346 - pyskl - INFO -
top1_acc 0.3027
top5_acc 0.5580
2025-06-03 14:30:15,346 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 14:30:15,354 - pyskl - INFO -
mean_acc 0.3005
2025-06-03 14:30:15,415 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/k_2/best_top1_acc_epoch_13.pth was removed
2025-06-03 14:30:16,963 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_14.pth.
2025-06-03 14:30:16,965 - pyskl - INFO - Best top1_acc is 0.3027 at 14 epoch.
2025-06-03 14:30:16,968 - pyskl - INFO - Epoch(val) [14][198] top1_acc: 0.3027, top5_acc: 0.5580, mean_class_accuracy: 0.3005
2025-06-03 14:31:25,751 - pyskl - INFO - Epoch [15][100/523] lr: 4.972e-02, eta: 19:34:08, time: 0.688, data_time: 0.254, memory: 7964, top1_acc: 0.5159, top5_acc: 0.8453, loss_cls: 5.5356, loss: 5.5356
2025-06-03 14:32:09,362 - pyskl - INFO - Epoch [15][200/523] lr: 4.972e-02, eta: 19:32:11, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.5253, top5_acc: 0.8481, loss_cls: 5.4909, loss: 5.4909
2025-06-03 14:32:53,474 - pyskl - INFO - Epoch [15][300/523] lr: 4.971e-02, eta: 19:30:26, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.4988, top5_acc: 0.8291, loss_cls: 5.7065, loss: 5.7065
2025-06-03 14:33:37,807 - pyskl - INFO - Epoch [15][400/523] lr: 4.970e-02, eta: 19:28:46, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.5062, top5_acc: 0.8381, loss_cls: 5.6150, loss: 5.6150
2025-06-03 14:34:22,054 - pyskl - INFO - Epoch [15][500/523] lr: 4.969e-02, eta: 19:27:07, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.4984, top5_acc: 0.8341, loss_cls: 5.6575, loss: 5.6575
2025-06-03 14:34:32,933 - pyskl - INFO - Saving checkpoint at 15 epochs
2025-06-03 14:35:01,433 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 14:35:01,505 - pyskl - INFO -
top1_acc 0.2827
top5_acc 0.5507
2025-06-03 14:35:01,506 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 14:35:01,513 - pyskl - INFO -
mean_acc 0.2810
2025-06-03 14:35:01,515 - pyskl - INFO - Epoch(val) [15][198] top1_acc: 0.2827, top5_acc: 0.5507, mean_class_accuracy: 0.2810
2025-06-03 14:36:11,445 - pyskl - INFO - Epoch [16][100/523] lr: 4.968e-02, eta: 19:29:57, time: 0.699, data_time: 0.258, memory: 7964, top1_acc: 0.5106, top5_acc: 0.8381, loss_cls: 5.5431, loss: 5.5431
2025-06-03 14:36:56,040 - pyskl - INFO - Epoch [16][200/523] lr: 4.968e-02, eta: 19:28:23, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.5259, top5_acc: 0.8559, loss_cls: 5.5251, loss: 5.5251
2025-06-03 14:37:40,567 - pyskl - INFO - Epoch [16][300/523] lr: 4.967e-02, eta: 19:26:49, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.5153, top5_acc: 0.8419, loss_cls: 5.5719, loss: 5.5719
2025-06-03 14:38:24,856 - pyskl - INFO - Epoch [16][400/523] lr: 4.966e-02, eta: 19:25:12, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.5294, top5_acc: 0.8506, loss_cls: 5.4525, loss: 5.4525
2025-06-03 14:39:09,332 - pyskl - INFO - Epoch [16][500/523] lr: 4.965e-02, eta: 19:23:39, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.5197, top5_acc: 0.8434, loss_cls: 5.4963, loss: 5.4963
2025-06-03 14:39:20,157 - pyskl - INFO - Saving checkpoint at 16 epochs
2025-06-03 14:39:48,314 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 14:39:48,382 - pyskl - INFO -
top1_acc 0.2992
top5_acc 0.5670
2025-06-03 14:39:48,382 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 14:39:48,389 - pyskl - INFO -
mean_acc 0.2956
2025-06-03 14:39:48,390 - pyskl - INFO - Epoch(val) [16][198] top1_acc: 0.2992, top5_acc: 0.5670, mean_class_accuracy: 0.2956
2025-06-03 14:40:57,912 - pyskl - INFO - Epoch [17][100/523] lr: 4.964e-02, eta: 19:26:06, time: 0.695, data_time: 0.256, memory: 7964, top1_acc: 0.5363, top5_acc: 0.8506, loss_cls: 5.4677, loss: 5.4677
2025-06-03 14:41:42,194 - pyskl - INFO - Epoch [17][200/523] lr: 4.963e-02, eta: 19:24:30, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.5197, top5_acc: 0.8528, loss_cls: 5.4705, loss: 5.4705
2025-06-03 14:42:26,081 - pyskl - INFO - Epoch [17][300/523] lr: 4.962e-02, eta: 19:22:48, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.5259, top5_acc: 0.8478, loss_cls: 5.4647, loss: 5.4647
2025-06-03 14:43:08,991 - pyskl - INFO - Epoch [17][400/523] lr: 4.962e-02, eta: 19:20:50, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.5134, top5_acc: 0.8381, loss_cls: 5.4763, loss: 5.4763
2025-06-03 14:43:52,853 - pyskl - INFO - Epoch [17][500/523] lr: 4.961e-02, eta: 19:19:11, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.5241, top5_acc: 0.8481, loss_cls: 5.4467, loss: 5.4467
2025-06-03 14:44:03,661 - pyskl - INFO - Saving checkpoint at 17 epochs
2025-06-03 14:44:31,952 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 14:44:32,020 - pyskl - INFO -
top1_acc 0.2974
top5_acc 0.5467
2025-06-03 14:44:32,020 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 14:44:32,027 - pyskl - INFO -
mean_acc 0.2969
2025-06-03 14:44:32,029 - pyskl - INFO - Epoch(val) [17][198] top1_acc: 0.2974, top5_acc: 0.5467, mean_class_accuracy: 0.2969
2025-06-03 14:45:40,921 - pyskl - INFO - Epoch [18][100/523] lr: 4.960e-02, eta: 19:21:15, time: 0.689, data_time: 0.252, memory: 7964, top1_acc: 0.5406, top5_acc: 0.8631, loss_cls: 5.3666, loss: 5.3666
2025-06-03 14:46:24,965 - pyskl - INFO - Epoch [18][200/523] lr: 4.959e-02, eta: 19:19:39, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.5491, top5_acc: 0.8606, loss_cls: 5.3603, loss: 5.3603
2025-06-03 14:47:09,019 - pyskl - INFO - Epoch [18][300/523] lr: 4.958e-02, eta: 19:18:03, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.5381, top5_acc: 0.8497, loss_cls: 5.4650, loss: 5.4650
2025-06-03 14:47:53,524 - pyskl - INFO - Epoch [18][400/523] lr: 4.957e-02, eta: 19:16:36, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.5303, top5_acc: 0.8450, loss_cls: 5.3637, loss: 5.3637
2025-06-03 14:48:37,389 - pyskl - INFO - Epoch [18][500/523] lr: 4.956e-02, eta: 19:14:59, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.5288, top5_acc: 0.8450, loss_cls: 5.4570, loss: 5.4570
2025-06-03 14:48:48,181 - pyskl - INFO - Saving checkpoint at 18 epochs
2025-06-03 14:49:16,341 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 14:49:16,409 - pyskl - INFO -
top1_acc 0.3065
top5_acc 0.5548
2025-06-03 14:49:16,410 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 14:49:16,417 - pyskl - INFO -
mean_acc 0.3073
2025-06-03 14:49:16,477 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/k_2/best_top1_acc_epoch_14.pth was removed
2025-06-03 14:49:18,010 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_18.pth.
2025-06-03 14:49:18,012 - pyskl - INFO - Best top1_acc is 0.3065 at 18 epoch.
2025-06-03 14:49:18,014 - pyskl - INFO - Epoch(val) [18][198] top1_acc: 0.3065, top5_acc: 0.5548, mean_class_accuracy: 0.3073
2025-06-03 14:50:26,020 - pyskl - INFO - Epoch [19][100/523] lr: 4.955e-02, eta: 19:16:40, time: 0.680, data_time: 0.257, memory: 7964, top1_acc: 0.5544, top5_acc: 0.8591, loss_cls: 5.3709, loss: 5.3709
2025-06-03 14:51:09,786 - pyskl - INFO - Epoch [19][200/523] lr: 4.954e-02, eta: 19:15:02, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.5491, top5_acc: 0.8588, loss_cls: 5.4017, loss: 5.4017
2025-06-03 14:51:53,091 - pyskl - INFO - Epoch [19][300/523] lr: 4.953e-02, eta: 19:13:18, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.5566, top5_acc: 0.8612, loss_cls: 5.3238, loss: 5.3238
2025-06-03 14:52:35,651 - pyskl - INFO - Epoch [19][400/523] lr: 4.952e-02, eta: 19:11:24, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.5297, top5_acc: 0.8509, loss_cls: 5.3742, loss: 5.3742
2025-06-03 14:53:18,774 - pyskl - INFO - Epoch [19][500/523] lr: 4.951e-02, eta: 19:09:40, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.5459, top5_acc: 0.8619, loss_cls: 5.3511, loss: 5.3511
2025-06-03 14:53:29,601 - pyskl - INFO - Saving checkpoint at 19 epochs
2025-06-03 14:53:57,773 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 14:53:57,843 - pyskl - INFO -
top1_acc 0.3122
top5_acc 0.5652
2025-06-03 14:53:57,843 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 14:53:57,852 - pyskl - INFO -
mean_acc 0.3115
2025-06-03 14:53:57,911 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/k_2/best_top1_acc_epoch_18.pth was removed
2025-06-03 14:53:59,432 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_19.pth.
2025-06-03 14:53:59,434 - pyskl - INFO - Best top1_acc is 0.3122 at 19 epoch.
2025-06-03 14:53:59,437 - pyskl - INFO - Epoch(val) [19][198] top1_acc: 0.3122, top5_acc: 0.5652, mean_class_accuracy: 0.3115
2025-06-03 14:55:09,014 - pyskl - INFO - Epoch [20][100/523] lr: 4.950e-02, eta: 19:11:36, time: 0.696, data_time: 0.252, memory: 7964, top1_acc: 0.5625, top5_acc: 0.8659, loss_cls: 5.2840, loss: 5.2840
2025-06-03 14:55:53,709 - pyskl - INFO - Epoch [20][200/523] lr: 4.949e-02, eta: 19:10:14, time: 0.447, data_time: 0.000, memory: 7964, top1_acc: 0.5591, top5_acc: 0.8656, loss_cls: 5.3221, loss: 5.3221
2025-06-03 14:56:37,265 - pyskl - INFO - Epoch [20][300/523] lr: 4.948e-02, eta: 19:08:38, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.5503, top5_acc: 0.8675, loss_cls: 5.2658, loss: 5.2658
2025-06-03 14:57:21,557 - pyskl - INFO - Epoch [20][400/523] lr: 4.947e-02, eta: 19:07:12, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.5463, top5_acc: 0.8584, loss_cls: 5.3612, loss: 5.3612
2025-06-03 14:58:05,577 - pyskl - INFO - Epoch [20][500/523] lr: 4.946e-02, eta: 19:05:44, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.5506, top5_acc: 0.8616, loss_cls: 5.2451, loss: 5.2451
2025-06-03 14:58:16,462 - pyskl - INFO - Saving checkpoint at 20 epochs
2025-06-03 14:58:44,585 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 14:58:44,657 - pyskl - INFO -
top1_acc 0.3219
top5_acc 0.5898
2025-06-03 14:58:44,658 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 14:58:44,666 - pyskl - INFO -
mean_acc 0.3215
2025-06-03 14:58:44,724 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/k_2/best_top1_acc_epoch_19.pth was removed
2025-06-03 14:58:46,231 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_20.pth.
2025-06-03 14:58:46,233 - pyskl - INFO - Best top1_acc is 0.3219 at 20 epoch.
2025-06-03 14:58:46,235 - pyskl - INFO - Epoch(val) [20][198] top1_acc: 0.3219, top5_acc: 0.5898, mean_class_accuracy: 0.3215
2025-06-03 14:59:55,692 - pyskl - INFO - Epoch [21][100/523] lr: 4.944e-02, eta: 19:07:29, time: 0.694, data_time: 0.256, memory: 7964, top1_acc: 0.5881, top5_acc: 0.8712, loss_cls: 5.2073, loss: 5.2073
2025-06-03 15:00:39,788 - pyskl - INFO - Epoch [21][200/523] lr: 4.943e-02, eta: 19:06:01, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.5534, top5_acc: 0.8791, loss_cls: 5.1847, loss: 5.1847
2025-06-03 15:01:23,116 - pyskl - INFO - Epoch [21][300/523] lr: 4.942e-02, eta: 19:04:24, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.5450, top5_acc: 0.8709, loss_cls: 5.3426, loss: 5.3426
2025-06-03 15:02:07,214 - pyskl - INFO - Epoch [21][400/523] lr: 4.941e-02, eta: 19:02:58, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.5469, top5_acc: 0.8550, loss_cls: 5.2758, loss: 5.2758
2025-06-03 15:02:51,468 - pyskl - INFO - Epoch [21][500/523] lr: 4.940e-02, eta: 19:01:35, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.5481, top5_acc: 0.8662, loss_cls: 5.2615, loss: 5.2615
2025-06-03 15:03:02,358 - pyskl - INFO - Saving checkpoint at 21 epochs
2025-06-03 15:03:30,700 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 15:03:30,770 - pyskl - INFO -
top1_acc 0.3100
top5_acc 0.5519
2025-06-03 15:03:30,770 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 15:03:30,777 - pyskl - INFO -
mean_acc 0.3080
2025-06-03 15:03:30,779 - pyskl - INFO - Epoch(val) [21][198] top1_acc: 0.3100, top5_acc: 0.5519, mean_class_accuracy: 0.3080
2025-06-03 15:04:40,370 - pyskl - INFO - Epoch [22][100/523] lr: 4.939e-02, eta: 19:03:13, time: 0.696, data_time: 0.259, memory: 7964, top1_acc: 0.5678, top5_acc: 0.8688, loss_cls: 5.2906, loss: 5.2906
2025-06-03 15:05:24,696 - pyskl - INFO - Epoch [22][200/523] lr: 4.938e-02, eta: 19:01:51, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.5719, top5_acc: 0.8706, loss_cls: 5.1881, loss: 5.1881
2025-06-03 15:06:09,126 - pyskl - INFO - Epoch [22][300/523] lr: 4.936e-02, eta: 19:00:31, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.5500, top5_acc: 0.8572, loss_cls: 5.3541, loss: 5.3541
2025-06-03 15:06:52,832 - pyskl - INFO - Epoch [22][400/523] lr: 4.935e-02, eta: 18:59:01, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.5744, top5_acc: 0.8578, loss_cls: 5.2433, loss: 5.2433
2025-06-03 15:07:36,943 - pyskl - INFO - Epoch [22][500/523] lr: 4.934e-02, eta: 18:57:38, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.5634, top5_acc: 0.8769, loss_cls: 5.1965, loss: 5.1965
2025-06-03 15:07:47,860 - pyskl - INFO - Saving checkpoint at 22 epochs
2025-06-03 15:08:16,180 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 15:08:16,252 - pyskl - INFO -
top1_acc 0.3331
top5_acc 0.5879
2025-06-03 15:08:16,252 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 15:08:16,262 - pyskl - INFO -
mean_acc 0.3324
2025-06-03 15:08:16,322 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/k_2/best_top1_acc_epoch_20.pth was removed
2025-06-03 15:08:17,852 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_22.pth.
2025-06-03 15:08:17,854 - pyskl - INFO - Best top1_acc is 0.3331 at 22 epoch.
2025-06-03 15:08:17,856 - pyskl - INFO - Epoch(val) [22][198] top1_acc: 0.3331, top5_acc: 0.5879, mean_class_accuracy: 0.3324
2025-06-03 15:09:25,553 - pyskl - INFO - Epoch [23][100/523] lr: 4.933e-02, eta: 18:58:45, time: 0.677, data_time: 0.254, memory: 7964, top1_acc: 0.5909, top5_acc: 0.8775, loss_cls: 5.0036, loss: 5.0036
2025-06-03 15:10:09,625 - pyskl - INFO - Epoch [23][200/523] lr: 4.932e-02, eta: 18:57:22, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.5537, top5_acc: 0.8644, loss_cls: 5.2275, loss: 5.2275
2025-06-03 15:10:52,945 - pyskl - INFO - Epoch [23][300/523] lr: 4.930e-02, eta: 18:55:49, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.5641, top5_acc: 0.8694, loss_cls: 5.2124, loss: 5.2124
2025-06-03 15:11:37,267 - pyskl - INFO - Epoch [23][400/523] lr: 4.929e-02, eta: 18:54:30, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.5697, top5_acc: 0.8712, loss_cls: 5.2127, loss: 5.2127
2025-06-03 15:12:21,666 - pyskl - INFO - Epoch [23][500/523] lr: 4.928e-02, eta: 18:53:12, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.5572, top5_acc: 0.8678, loss_cls: 5.2416, loss: 5.2416
2025-06-03 15:12:32,564 - pyskl - INFO - Saving checkpoint at 23 epochs
2025-06-03 15:13:00,776 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 15:13:00,842 - pyskl - INFO -
top1_acc 0.3130
top5_acc 0.5721
2025-06-03 15:13:00,843 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 15:13:00,850 - pyskl - INFO -
mean_acc 0.3130
2025-06-03 15:13:00,851 - pyskl - INFO - Epoch(val) [23][198] top1_acc: 0.3130, top5_acc: 0.5721, mean_class_accuracy: 0.3130
2025-06-03 15:14:08,920 - pyskl - INFO - Epoch [24][100/523] lr: 4.927e-02, eta: 18:54:18, time: 0.681, data_time: 0.256, memory: 7964, top1_acc: 0.5887, top5_acc: 0.8850, loss_cls: 5.0683, loss: 5.0683
2025-06-03 15:14:53,066 - pyskl - INFO - Epoch [24][200/523] lr: 4.925e-02, eta: 18:52:57, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.5847, top5_acc: 0.8725, loss_cls: 5.1035, loss: 5.1035
2025-06-03 15:15:37,524 - pyskl - INFO - Epoch [24][300/523] lr: 4.924e-02, eta: 18:51:41, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.5816, top5_acc: 0.8731, loss_cls: 5.2108, loss: 5.2108
2025-06-03 15:16:21,662 - pyskl - INFO - Epoch [24][400/523] lr: 4.923e-02, eta: 18:50:21, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.5556, top5_acc: 0.8684, loss_cls: 5.1354, loss: 5.1354
2025-06-03 15:17:05,720 - pyskl - INFO - Epoch [24][500/523] lr: 4.922e-02, eta: 18:49:00, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.5706, top5_acc: 0.8691, loss_cls: 5.2705, loss: 5.2705
2025-06-03 15:17:16,565 - pyskl - INFO - Saving checkpoint at 24 epochs
2025-06-03 15:17:44,770 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 15:17:44,839 - pyskl - INFO -
top1_acc 0.3208
top5_acc 0.5681
2025-06-03 15:17:44,839 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 15:17:44,848 - pyskl - INFO -
mean_acc 0.3215
2025-06-03 15:17:44,850 - pyskl - INFO - Epoch(val) [24][198] top1_acc: 0.3208, top5_acc: 0.5681, mean_class_accuracy: 0.3215
2025-06-03 15:18:54,987 - pyskl - INFO - Epoch [25][100/523] lr: 4.920e-02, eta: 18:50:24, time: 0.701, data_time: 0.258, memory: 7964, top1_acc: 0.5728, top5_acc: 0.8819, loss_cls: 5.0759, loss: 5.0759
2025-06-03 15:19:38,819 - pyskl - INFO - Epoch [25][200/523] lr: 4.919e-02, eta: 18:49:01, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.5734, top5_acc: 0.8791, loss_cls: 5.1322, loss: 5.1322
2025-06-03 15:20:23,136 - pyskl - INFO - Epoch [25][300/523] lr: 4.918e-02, eta: 18:47:44, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.5828, top5_acc: 0.8856, loss_cls: 4.9440, loss: 4.9440
2025-06-03 15:21:07,371 - pyskl - INFO - Epoch [25][400/523] lr: 4.916e-02, eta: 18:46:27, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.5831, top5_acc: 0.8769, loss_cls: 5.1891, loss: 5.1891
2025-06-03 15:21:51,647 - pyskl - INFO - Epoch [25][500/523] lr: 4.915e-02, eta: 18:45:10, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.5706, top5_acc: 0.8688, loss_cls: 5.1531, loss: 5.1531
2025-06-03 15:22:02,539 - pyskl - INFO - Saving checkpoint at 25 epochs
2025-06-03 15:22:30,784 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 15:22:30,856 - pyskl - INFO -
top1_acc 0.3222
top5_acc 0.5656
2025-06-03 15:22:30,857 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 15:22:30,865 - pyskl - INFO -
mean_acc 0.3216
2025-06-03 15:22:30,866 - pyskl - INFO - Epoch(val) [25][198] top1_acc: 0.3222, top5_acc: 0.5656, mean_class_accuracy: 0.3216
2025-06-03 15:23:40,876 - pyskl - INFO - Epoch [26][100/523] lr: 4.914e-02, eta: 18:46:27, time: 0.700, data_time: 0.258, memory: 7964, top1_acc: 0.5906, top5_acc: 0.8838, loss_cls: 5.0024, loss: 5.0024
2025-06-03 15:24:25,307 - pyskl - INFO - Epoch [26][200/523] lr: 4.912e-02, eta: 18:45:11, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.5928, top5_acc: 0.8772, loss_cls: 5.0368, loss: 5.0368
2025-06-03 15:25:09,607 - pyskl - INFO - Epoch [26][300/523] lr: 4.911e-02, eta: 18:43:55, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.5731, top5_acc: 0.8781, loss_cls: 5.2043, loss: 5.2043
2025-06-03 15:25:53,853 - pyskl - INFO - Epoch [26][400/523] lr: 4.910e-02, eta: 18:42:39, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.5759, top5_acc: 0.8731, loss_cls: 5.0629, loss: 5.0629
2025-06-03 15:26:38,278 - pyskl - INFO - Epoch [26][500/523] lr: 4.908e-02, eta: 18:41:26, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.5728, top5_acc: 0.8778, loss_cls: 5.1538, loss: 5.1538
2025-06-03 15:26:49,125 - pyskl - INFO - Saving checkpoint at 26 epochs
2025-06-03 15:27:17,513 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 15:27:17,585 - pyskl - INFO -
top1_acc 0.3101
top5_acc 0.5654
2025-06-03 15:27:17,586 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 15:27:17,594 - pyskl - INFO -
mean_acc 0.3089
2025-06-03 15:27:17,596 - pyskl - INFO - Epoch(val) [26][198] top1_acc: 0.3101, top5_acc: 0.5654, mean_class_accuracy: 0.3089
2025-06-03 15:28:27,475 - pyskl - INFO - Epoch [27][100/523] lr: 4.907e-02, eta: 18:42:35, time: 0.699, data_time: 0.258, memory: 7964, top1_acc: 0.5925, top5_acc: 0.8938, loss_cls: 5.0514, loss: 5.0514
2025-06-03 15:29:11,511 - pyskl - INFO - Epoch [27][200/523] lr: 4.905e-02, eta: 18:41:16, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.5991, top5_acc: 0.8781, loss_cls: 5.0928, loss: 5.0928
2025-06-03 15:29:55,732 - pyskl - INFO - Epoch [27][300/523] lr: 4.904e-02, eta: 18:40:01, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.5791, top5_acc: 0.8809, loss_cls: 5.1981, loss: 5.1981
2025-06-03 15:30:40,162 - pyskl - INFO - Epoch [27][400/523] lr: 4.902e-02, eta: 18:38:47, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.5872, top5_acc: 0.8819, loss_cls: 5.0202, loss: 5.0202
2025-06-03 15:31:24,290 - pyskl - INFO - Epoch [27][500/523] lr: 4.901e-02, eta: 18:37:32, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.5781, top5_acc: 0.8812, loss_cls: 5.0721, loss: 5.0721
2025-06-03 15:31:35,189 - pyskl - INFO - Saving checkpoint at 27 epochs
2025-06-03 15:32:03,454 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 15:32:03,522 - pyskl - INFO -
top1_acc 0.3208
top5_acc 0.5665
2025-06-03 15:32:03,522 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 15:32:03,530 - pyskl - INFO -
mean_acc 0.3219
2025-06-03 15:32:03,532 - pyskl - INFO - Epoch(val) [27][198] top1_acc: 0.3208, top5_acc: 0.5665, mean_class_accuracy: 0.3219
2025-06-03 15:33:13,877 - pyskl - INFO - Epoch [28][100/523] lr: 4.899e-02, eta: 18:38:40, time: 0.703, data_time: 0.264, memory: 7964, top1_acc: 0.5956, top5_acc: 0.8816, loss_cls: 4.9818, loss: 4.9818
2025-06-03 15:33:57,188 - pyskl - INFO - Epoch [28][200/523] lr: 4.898e-02, eta: 18:37:16, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.5897, top5_acc: 0.8853, loss_cls: 5.0472, loss: 5.0472
2025-06-03 15:34:40,369 - pyskl - INFO - Epoch [28][300/523] lr: 4.897e-02, eta: 18:35:51, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.6059, top5_acc: 0.8853, loss_cls: 4.9705, loss: 4.9705
2025-06-03 15:35:24,476 - pyskl - INFO - Epoch [28][400/523] lr: 4.895e-02, eta: 18:34:36, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.5938, top5_acc: 0.8938, loss_cls: 4.9681, loss: 4.9681
2025-06-03 15:36:08,644 - pyskl - INFO - Epoch [28][500/523] lr: 4.894e-02, eta: 18:33:22, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.5622, top5_acc: 0.8731, loss_cls: 5.1082, loss: 5.1082
2025-06-03 15:36:19,298 - pyskl - INFO - Saving checkpoint at 28 epochs
2025-06-03 15:36:47,481 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 15:36:47,550 - pyskl - INFO -
top1_acc 0.3160
top5_acc 0.5800
2025-06-03 15:36:47,550 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 15:36:47,557 - pyskl - INFO -
mean_acc 0.3140
2025-06-03 15:36:47,558 - pyskl - INFO - Epoch(val) [28][198] top1_acc: 0.3160, top5_acc: 0.5800, mean_class_accuracy: 0.3140
2025-06-03 15:37:57,974 - pyskl - INFO - Epoch [29][100/523] lr: 4.892e-02, eta: 18:34:26, time: 0.704, data_time: 0.258, memory: 7964, top1_acc: 0.6256, top5_acc: 0.8953, loss_cls: 4.9291, loss: 4.9291
2025-06-03 15:38:42,562 - pyskl - INFO - Epoch [29][200/523] lr: 4.890e-02, eta: 18:33:15, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.6100, top5_acc: 0.8872, loss_cls: 5.0201, loss: 5.0201
2025-06-03 15:39:26,931 - pyskl - INFO - Epoch [29][300/523] lr: 4.889e-02, eta: 18:32:03, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.6094, top5_acc: 0.8788, loss_cls: 5.0413, loss: 5.0413
2025-06-03 15:40:11,292 - pyskl - INFO - Epoch [29][400/523] lr: 4.887e-02, eta: 18:30:51, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.5875, top5_acc: 0.8772, loss_cls: 5.0464, loss: 5.0464
2025-06-03 15:40:54,988 - pyskl - INFO - Epoch [29][500/523] lr: 4.886e-02, eta: 18:29:33, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.5753, top5_acc: 0.8716, loss_cls: 5.0102, loss: 5.0102
2025-06-03 15:41:05,886 - pyskl - INFO - Saving checkpoint at 29 epochs
2025-06-03 15:41:34,041 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 15:41:34,108 - pyskl - INFO -
top1_acc 0.3385
top5_acc 0.5917
2025-06-03 15:41:34,109 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 15:41:34,116 - pyskl - INFO -
mean_acc 0.3385
2025-06-03 15:41:34,175 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/k_2/best_top1_acc_epoch_22.pth was removed
2025-06-03 15:41:35,691 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_29.pth.
2025-06-03 15:41:35,692 - pyskl - INFO - Best top1_acc is 0.3385 at 29 epoch.
2025-06-03 15:41:35,694 - pyskl - INFO - Epoch(val) [29][198] top1_acc: 0.3385, top5_acc: 0.5917, mean_class_accuracy: 0.3385
2025-06-03 15:42:44,539 - pyskl - INFO - Epoch [30][100/523] lr: 4.884e-02, eta: 18:30:18, time: 0.688, data_time: 0.254, memory: 7964, top1_acc: 0.6106, top5_acc: 0.8972, loss_cls: 4.8629, loss: 4.8629
2025-06-03 15:43:28,888 - pyskl - INFO - Epoch [30][200/523] lr: 4.883e-02, eta: 18:29:07, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.6059, top5_acc: 0.8828, loss_cls: 4.9850, loss: 4.9850
2025-06-03 15:44:13,238 - pyskl - INFO - Epoch [30][300/523] lr: 4.881e-02, eta: 18:27:55, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.6088, top5_acc: 0.8944, loss_cls: 4.8891, loss: 4.8891
2025-06-03 15:44:57,634 - pyskl - INFO - Epoch [30][400/523] lr: 4.880e-02, eta: 18:26:44, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.5984, top5_acc: 0.8850, loss_cls: 4.9343, loss: 4.9343
2025-06-03 15:45:42,228 - pyskl - INFO - Epoch [30][500/523] lr: 4.878e-02, eta: 18:25:36, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.5869, top5_acc: 0.8819, loss_cls: 5.0805, loss: 5.0805
2025-06-03 15:45:53,038 - pyskl - INFO - Saving checkpoint at 30 epochs
2025-06-03 15:46:21,344 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 15:46:21,414 - pyskl - INFO -
top1_acc 0.3277
top5_acc 0.5687
2025-06-03 15:46:21,414 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 15:46:21,423 - pyskl - INFO -
mean_acc 0.3274
2025-06-03 15:46:21,424 - pyskl - INFO - Epoch(val) [30][198] top1_acc: 0.3277, top5_acc: 0.5687, mean_class_accuracy: 0.3274
2025-06-03 15:47:31,470 - pyskl - INFO - Epoch [31][100/523] lr: 4.876e-02, eta: 18:26:28, time: 0.700, data_time: 0.259, memory: 7964, top1_acc: 0.6256, top5_acc: 0.9022, loss_cls: 4.8403, loss: 4.8403
2025-06-03 15:48:14,768 - pyskl - INFO - Epoch [31][200/523] lr: 4.875e-02, eta: 18:25:07, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.5944, top5_acc: 0.8916, loss_cls: 4.9688, loss: 4.9688
2025-06-03 15:48:56,720 - pyskl - INFO - Epoch [31][300/523] lr: 4.873e-02, eta: 18:23:36, time: 0.420, data_time: 0.000, memory: 7964, top1_acc: 0.6009, top5_acc: 0.8938, loss_cls: 4.9427, loss: 4.9427
2025-06-03 15:49:40,046 - pyskl - INFO - Epoch [31][400/523] lr: 4.871e-02, eta: 18:22:17, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.5925, top5_acc: 0.8800, loss_cls: 5.0240, loss: 5.0240
2025-06-03 15:50:24,347 - pyskl - INFO - Epoch [31][500/523] lr: 4.870e-02, eta: 18:21:07, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.6053, top5_acc: 0.8762, loss_cls: 4.9598, loss: 4.9598
2025-06-03 15:50:35,190 - pyskl - INFO - Saving checkpoint at 31 epochs
2025-06-03 15:51:03,417 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 15:51:03,487 - pyskl - INFO -
top1_acc 0.3447
top5_acc 0.5868
2025-06-03 15:51:03,487 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 15:51:03,496 - pyskl - INFO -
mean_acc 0.3429
2025-06-03 15:51:03,558 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/k_2/best_top1_acc_epoch_29.pth was removed
2025-06-03 15:51:05,117 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_31.pth.
2025-06-03 15:51:05,119 - pyskl - INFO - Best top1_acc is 0.3447 at 31 epoch.
2025-06-03 15:51:05,121 - pyskl - INFO - Epoch(val) [31][198] top1_acc: 0.3447, top5_acc: 0.5868, mean_class_accuracy: 0.3429
2025-06-03 15:52:14,560 - pyskl - INFO - Epoch [32][100/523] lr: 4.868e-02, eta: 18:21:49, time: 0.694, data_time: 0.257, memory: 7964, top1_acc: 0.6228, top5_acc: 0.9000, loss_cls: 4.8287, loss: 4.8287
2025-06-03 15:52:58,834 - pyskl - INFO - Epoch [32][200/523] lr: 4.866e-02, eta: 18:20:39, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.6166, top5_acc: 0.8975, loss_cls: 4.7874, loss: 4.7874
2025-06-03 15:53:42,848 - pyskl - INFO - Epoch [32][300/523] lr: 4.865e-02, eta: 18:19:26, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.6172, top5_acc: 0.8869, loss_cls: 4.9129, loss: 4.9129
2025-06-03 15:54:26,896 - pyskl - INFO - Epoch [32][400/523] lr: 4.863e-02, eta: 18:18:15, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.5884, top5_acc: 0.8878, loss_cls: 4.9631, loss: 4.9631
2025-06-03 15:55:10,891 - pyskl - INFO - Epoch [32][500/523] lr: 4.861e-02, eta: 18:17:03, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.6009, top5_acc: 0.8822, loss_cls: 5.0531, loss: 5.0531
2025-06-03 15:55:21,782 - pyskl - INFO - Saving checkpoint at 32 epochs
2025-06-03 15:55:50,326 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 15:55:50,396 - pyskl - INFO -
top1_acc 0.3599
top5_acc 0.5957
2025-06-03 15:55:50,396 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 15:55:50,404 - pyskl - INFO -
mean_acc 0.3603
2025-06-03 15:55:50,462 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/k_2/best_top1_acc_epoch_31.pth was removed
2025-06-03 15:55:51,954 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_32.pth.
2025-06-03 15:55:51,955 - pyskl - INFO - Best top1_acc is 0.3599 at 32 epoch.
2025-06-03 15:55:51,957 - pyskl - INFO - Epoch(val) [32][198] top1_acc: 0.3599, top5_acc: 0.5957, mean_class_accuracy: 0.3603
2025-06-03 15:57:00,536 - pyskl - INFO - Epoch [33][100/523] lr: 4.859e-02, eta: 18:17:35, time: 0.686, data_time: 0.255, memory: 7964, top1_acc: 0.6075, top5_acc: 0.8944, loss_cls: 4.9386, loss: 4.9386
2025-06-03 15:57:44,654 - pyskl - INFO - Epoch [33][200/523] lr: 4.858e-02, eta: 18:16:24, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.6100, top5_acc: 0.8947, loss_cls: 4.8886, loss: 4.8886
2025-06-03 15:58:28,892 - pyskl - INFO - Epoch [33][300/523] lr: 4.856e-02, eta: 18:15:14, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.5984, top5_acc: 0.8950, loss_cls: 4.9479, loss: 4.9479
2025-06-03 15:59:13,103 - pyskl - INFO - Epoch [33][400/523] lr: 4.854e-02, eta: 18:14:05, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6141, top5_acc: 0.8909, loss_cls: 4.8157, loss: 4.8157
2025-06-03 15:59:57,405 - pyskl - INFO - Epoch [33][500/523] lr: 4.853e-02, eta: 18:12:56, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.6106, top5_acc: 0.8953, loss_cls: 4.9890, loss: 4.9890
2025-06-03 16:00:08,375 - pyskl - INFO - Saving checkpoint at 33 epochs
2025-06-03 16:00:36,897 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 16:00:36,973 - pyskl - INFO -
top1_acc 0.3539
top5_acc 0.6041
2025-06-03 16:00:36,973 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 16:00:36,982 - pyskl - INFO -
mean_acc 0.3558
2025-06-03 16:00:36,984 - pyskl - INFO - Epoch(val) [33][198] top1_acc: 0.3539, top5_acc: 0.6041, mean_class_accuracy: 0.3558
2025-06-03 16:01:45,191 - pyskl - INFO - Epoch [34][100/523] lr: 4.851e-02, eta: 18:13:22, time: 0.682, data_time: 0.259, memory: 7964, top1_acc: 0.6225, top5_acc: 0.9022, loss_cls: 4.8680, loss: 4.8680
2025-06-03 16:02:29,208 - pyskl - INFO - Epoch [34][200/523] lr: 4.849e-02, eta: 18:12:11, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.6125, top5_acc: 0.9031, loss_cls: 4.9145, loss: 4.9145
2025-06-03 16:03:13,294 - pyskl - INFO - Epoch [34][300/523] lr: 4.847e-02, eta: 18:11:01, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.6012, top5_acc: 0.8875, loss_cls: 4.8773, loss: 4.8773
2025-06-03 16:03:57,415 - pyskl - INFO - Epoch [34][400/523] lr: 4.845e-02, eta: 18:09:52, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.6184, top5_acc: 0.8953, loss_cls: 4.8937, loss: 4.8937
2025-06-03 16:04:41,481 - pyskl - INFO - Epoch [34][500/523] lr: 4.844e-02, eta: 18:08:42, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.6066, top5_acc: 0.8953, loss_cls: 4.8109, loss: 4.8109
2025-06-03 16:04:52,280 - pyskl - INFO - Saving checkpoint at 34 epochs
2025-06-03 16:05:20,552 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 16:05:20,622 - pyskl - INFO -
top1_acc 0.3439
top5_acc 0.6017
2025-06-03 16:05:20,622 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 16:05:20,631 - pyskl - INFO -
mean_acc 0.3441
2025-06-03 16:05:20,633 - pyskl - INFO - Epoch(val) [34][198] top1_acc: 0.3439, top5_acc: 0.6017, mean_class_accuracy: 0.3441
2025-06-03 16:06:30,356 - pyskl - INFO - Epoch [35][100/523] lr: 4.841e-02, eta: 18:09:17, time: 0.697, data_time: 0.268, memory: 7964, top1_acc: 0.6216, top5_acc: 0.8984, loss_cls: 4.8392, loss: 4.8392
2025-06-03 16:07:12,909 - pyskl - INFO - Epoch [35][200/523] lr: 4.840e-02, eta: 18:07:56, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.6138, top5_acc: 0.9028, loss_cls: 4.8188, loss: 4.8188
2025-06-03 16:07:56,638 - pyskl - INFO - Epoch [35][300/523] lr: 4.838e-02, eta: 18:06:44, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.6147, top5_acc: 0.8997, loss_cls: 4.8418, loss: 4.8418
2025-06-03 16:08:41,294 - pyskl - INFO - Epoch [35][400/523] lr: 4.836e-02, eta: 18:05:39, time: 0.447, data_time: 0.000, memory: 7964, top1_acc: 0.6006, top5_acc: 0.8841, loss_cls: 4.9379, loss: 4.9379
2025-06-03 16:09:25,850 - pyskl - INFO - Epoch [35][500/523] lr: 4.834e-02, eta: 18:04:34, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.6128, top5_acc: 0.8959, loss_cls: 4.8769, loss: 4.8769
2025-06-03 16:09:36,795 - pyskl - INFO - Saving checkpoint at 35 epochs
2025-06-03 16:10:04,688 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 16:10:04,762 - pyskl - INFO -
top1_acc 0.3632
top5_acc 0.6133
2025-06-03 16:10:04,762 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 16:10:04,770 - pyskl - INFO -
mean_acc 0.3639
2025-06-03 16:10:04,830 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/k_2/best_top1_acc_epoch_32.pth was removed
2025-06-03 16:10:06,427 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_35.pth.
2025-06-03 16:10:06,429 - pyskl - INFO - Best top1_acc is 0.3632 at 35 epoch.
2025-06-03 16:10:06,432 - pyskl - INFO - Epoch(val) [35][198] top1_acc: 0.3632, top5_acc: 0.6133, mean_class_accuracy: 0.3639
2025-06-03 16:11:15,884 - pyskl - INFO - Epoch [36][100/523] lr: 4.832e-02, eta: 18:05:04, time: 0.694, data_time: 0.259, memory: 7964, top1_acc: 0.6391, top5_acc: 0.9066, loss_cls: 4.6915, loss: 4.6915
2025-06-03 16:12:00,127 - pyskl - INFO - Epoch [36][200/523] lr: 4.830e-02, eta: 18:03:57, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6259, top5_acc: 0.8997, loss_cls: 4.8328, loss: 4.8328
2025-06-03 16:12:44,286 - pyskl - INFO - Epoch [36][300/523] lr: 4.829e-02, eta: 18:02:49, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6103, top5_acc: 0.8978, loss_cls: 4.7528, loss: 4.7528
2025-06-03 16:13:28,449 - pyskl - INFO - Epoch [36][400/523] lr: 4.827e-02, eta: 18:01:41, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6116, top5_acc: 0.8978, loss_cls: 4.8955, loss: 4.8955
2025-06-03 16:14:12,318 - pyskl - INFO - Epoch [36][500/523] lr: 4.825e-02, eta: 18:00:31, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.6128, top5_acc: 0.8881, loss_cls: 4.8565, loss: 4.8565
2025-06-03 16:14:23,185 - pyskl - INFO - Saving checkpoint at 36 epochs
2025-06-03 16:14:51,461 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 16:14:51,529 - pyskl - INFO -
top1_acc 0.3517
top5_acc 0.5984
2025-06-03 16:14:51,529 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 16:14:51,537 - pyskl - INFO -
mean_acc 0.3517
2025-06-03 16:14:51,538 - pyskl - INFO - Epoch(val) [36][198] top1_acc: 0.3517, top5_acc: 0.5984, mean_class_accuracy: 0.3517
2025-06-03 16:15:59,921 - pyskl - INFO - Epoch [37][100/523] lr: 4.823e-02, eta: 18:00:51, time: 0.684, data_time: 0.261, memory: 7964, top1_acc: 0.6278, top5_acc: 0.9053, loss_cls: 4.7495, loss: 4.7495
2025-06-03 16:16:44,509 - pyskl - INFO - Epoch [37][200/523] lr: 4.821e-02, eta: 17:59:46, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.6244, top5_acc: 0.8947, loss_cls: 4.8830, loss: 4.8830
2025-06-03 16:17:28,503 - pyskl - INFO - Epoch [37][300/523] lr: 4.819e-02, eta: 17:58:38, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.6088, top5_acc: 0.8981, loss_cls: 4.9409, loss: 4.9409
2025-06-03 16:18:12,946 - pyskl - INFO - Epoch [37][400/523] lr: 4.817e-02, eta: 17:57:33, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.6312, top5_acc: 0.8950, loss_cls: 4.8828, loss: 4.8828
2025-06-03 16:18:57,130 - pyskl - INFO - Epoch [37][500/523] lr: 4.815e-02, eta: 17:56:26, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6166, top5_acc: 0.8966, loss_cls: 4.7626, loss: 4.7626
2025-06-03 16:19:08,003 - pyskl - INFO - Saving checkpoint at 37 epochs
2025-06-03 16:19:36,103 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 16:19:36,171 - pyskl - INFO -
top1_acc 0.3526
top5_acc 0.6060
2025-06-03 16:19:36,171 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 16:19:36,178 - pyskl - INFO -
mean_acc 0.3527
2025-06-03 16:19:36,180 - pyskl - INFO - Epoch(val) [37][198] top1_acc: 0.3526, top5_acc: 0.6060, mean_class_accuracy: 0.3527
2025-06-03 16:20:46,669 - pyskl - INFO - Epoch [38][100/523] lr: 4.813e-02, eta: 17:56:58, time: 0.705, data_time: 0.257, memory: 7964, top1_acc: 0.6294, top5_acc: 0.9062, loss_cls: 4.8204, loss: 4.8204
2025-06-03 16:21:30,842 - pyskl - INFO - Epoch [38][200/523] lr: 4.811e-02, eta: 17:55:51, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6312, top5_acc: 0.8938, loss_cls: 4.7906, loss: 4.7906
2025-06-03 16:22:15,028 - pyskl - INFO - Epoch [38][300/523] lr: 4.809e-02, eta: 17:54:45, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6250, top5_acc: 0.8991, loss_cls: 4.7847, loss: 4.7847
2025-06-03 16:22:59,163 - pyskl - INFO - Epoch [38][400/523] lr: 4.807e-02, eta: 17:53:38, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.6219, top5_acc: 0.9125, loss_cls: 4.8288, loss: 4.8288
2025-06-03 16:23:43,482 - pyskl - INFO - Epoch [38][500/523] lr: 4.805e-02, eta: 17:52:33, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.5962, top5_acc: 0.8897, loss_cls: 4.9165, loss: 4.9165
2025-06-03 16:23:54,364 - pyskl - INFO - Saving checkpoint at 38 epochs
2025-06-03 16:24:22,419 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 16:24:22,487 - pyskl - INFO -
top1_acc 0.3461
top5_acc 0.5949
2025-06-03 16:24:22,488 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 16:24:22,495 - pyskl - INFO -
mean_acc 0.3465
2025-06-03 16:24:22,496 - pyskl - INFO - Epoch(val) [38][198] top1_acc: 0.3461, top5_acc: 0.5949, mean_class_accuracy: 0.3465
2025-06-03 16:25:32,410 - pyskl - INFO - Epoch [39][100/523] lr: 4.803e-02, eta: 17:52:58, time: 0.699, data_time: 0.263, memory: 7964, top1_acc: 0.6300, top5_acc: 0.9034, loss_cls: 4.8047, loss: 4.8047
2025-06-03 16:26:15,907 - pyskl - INFO - Epoch [39][200/523] lr: 4.801e-02, eta: 17:51:47, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.6281, top5_acc: 0.9028, loss_cls: 4.8365, loss: 4.8365
2025-06-03 16:26:59,629 - pyskl - INFO - Epoch [39][300/523] lr: 4.799e-02, eta: 17:50:38, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.6334, top5_acc: 0.9028, loss_cls: 4.7739, loss: 4.7739
2025-06-03 16:27:43,485 - pyskl - INFO - Epoch [39][400/523] lr: 4.797e-02, eta: 17:49:30, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.6309, top5_acc: 0.9016, loss_cls: 4.7765, loss: 4.7765
2025-06-03 16:28:28,358 - pyskl - INFO - Epoch [39][500/523] lr: 4.795e-02, eta: 17:48:29, time: 0.449, data_time: 0.000, memory: 7964, top1_acc: 0.6172, top5_acc: 0.8831, loss_cls: 4.8923, loss: 4.8923
2025-06-03 16:28:39,410 - pyskl - INFO - Saving checkpoint at 39 epochs
2025-06-03 16:29:07,710 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 16:29:07,779 - pyskl - INFO -
top1_acc 0.3401
top5_acc 0.5908
2025-06-03 16:29:07,779 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 16:29:07,787 - pyskl - INFO -
mean_acc 0.3409
2025-06-03 16:29:07,789 - pyskl - INFO - Epoch(val) [39][198] top1_acc: 0.3401, top5_acc: 0.5908, mean_class_accuracy: 0.3409
2025-06-03 16:30:17,711 - pyskl - INFO - Epoch [40][100/523] lr: 4.792e-02, eta: 17:48:52, time: 0.699, data_time: 0.260, memory: 7964, top1_acc: 0.6606, top5_acc: 0.9122, loss_cls: 4.5690, loss: 4.5690
2025-06-03 16:31:01,928 - pyskl - INFO - Epoch [40][200/523] lr: 4.790e-02, eta: 17:47:46, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6231, top5_acc: 0.9056, loss_cls: 4.7928, loss: 4.7928
2025-06-03 16:31:46,480 - pyskl - INFO - Epoch [40][300/523] lr: 4.788e-02, eta: 17:46:43, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.6391, top5_acc: 0.9034, loss_cls: 4.7559, loss: 4.7559
2025-06-03 16:32:30,540 - pyskl - INFO - Epoch [40][400/523] lr: 4.786e-02, eta: 17:45:37, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.6162, top5_acc: 0.8956, loss_cls: 4.8631, loss: 4.8631
2025-06-03 16:33:14,949 - pyskl - INFO - Epoch [40][500/523] lr: 4.784e-02, eta: 17:44:33, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.6250, top5_acc: 0.8969, loss_cls: 4.8520, loss: 4.8520
2025-06-03 16:33:25,838 - pyskl - INFO - Saving checkpoint at 40 epochs
2025-06-03 16:33:54,229 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 16:33:54,300 - pyskl - INFO -
top1_acc 0.3572
top5_acc 0.6028
2025-06-03 16:33:54,301 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 16:33:54,311 - pyskl - INFO -
mean_acc 0.3563
2025-06-03 16:33:54,314 - pyskl - INFO - Epoch(val) [40][198] top1_acc: 0.3572, top5_acc: 0.6028, mean_class_accuracy: 0.3563
2025-06-03 16:35:03,370 - pyskl - INFO - Epoch [41][100/523] lr: 4.782e-02, eta: 17:44:49, time: 0.691, data_time: 0.263, memory: 7964, top1_acc: 0.6600, top5_acc: 0.9122, loss_cls: 4.6740, loss: 4.6740
2025-06-03 16:35:47,487 - pyskl - INFO - Epoch [41][200/523] lr: 4.780e-02, eta: 17:43:43, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.6228, top5_acc: 0.9000, loss_cls: 4.7729, loss: 4.7729
2025-06-03 16:36:32,015 - pyskl - INFO - Epoch [41][300/523] lr: 4.778e-02, eta: 17:42:40, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.6169, top5_acc: 0.8938, loss_cls: 4.8598, loss: 4.8598
2025-06-03 16:37:16,585 - pyskl - INFO - Epoch [41][400/523] lr: 4.776e-02, eta: 17:41:38, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.6388, top5_acc: 0.9094, loss_cls: 4.7357, loss: 4.7357
2025-06-03 16:38:00,805 - pyskl - INFO - Epoch [41][500/523] lr: 4.774e-02, eta: 17:40:33, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6191, top5_acc: 0.8953, loss_cls: 4.8420, loss: 4.8420
2025-06-03 16:38:11,627 - pyskl - INFO - Saving checkpoint at 41 epochs
2025-06-03 16:38:40,015 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 16:38:40,085 - pyskl - INFO -
top1_acc 0.3320
top5_acc 0.5714
2025-06-03 16:38:40,085 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 16:38:40,094 - pyskl - INFO -
mean_acc 0.3300
2025-06-03 16:38:40,096 - pyskl - INFO - Epoch(val) [41][198] top1_acc: 0.3320, top5_acc: 0.5714, mean_class_accuracy: 0.3300
2025-06-03 16:39:50,533 - pyskl - INFO - Epoch [42][100/523] lr: 4.771e-02, eta: 17:40:55, time: 0.704, data_time: 0.275, memory: 7964, top1_acc: 0.6522, top5_acc: 0.9150, loss_cls: 4.6814, loss: 4.6814
2025-06-03 16:40:34,133 - pyskl - INFO - Epoch [42][200/523] lr: 4.769e-02, eta: 17:39:46, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.6469, top5_acc: 0.9025, loss_cls: 4.6897, loss: 4.6897
2025-06-03 16:41:17,481 - pyskl - INFO - Epoch [42][300/523] lr: 4.767e-02, eta: 17:38:37, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.6353, top5_acc: 0.9122, loss_cls: 4.7501, loss: 4.7501
2025-06-03 16:42:00,885 - pyskl - INFO - Epoch [42][400/523] lr: 4.765e-02, eta: 17:37:27, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.6166, top5_acc: 0.8975, loss_cls: 4.7580, loss: 4.7580
2025-06-03 16:42:44,307 - pyskl - INFO - Epoch [42][500/523] lr: 4.763e-02, eta: 17:36:19, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.6341, top5_acc: 0.9047, loss_cls: 4.6140, loss: 4.6140
2025-06-03 16:42:55,149 - pyskl - INFO - Saving checkpoint at 42 epochs
2025-06-03 16:43:23,782 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 16:43:23,851 - pyskl - INFO -
top1_acc 0.3195
top5_acc 0.5770
2025-06-03 16:43:23,852 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 16:43:23,859 - pyskl - INFO -
mean_acc 0.3174
2025-06-03 16:43:23,860 - pyskl - INFO - Epoch(val) [42][198] top1_acc: 0.3195, top5_acc: 0.5770, mean_class_accuracy: 0.3174
2025-06-03 16:44:34,600 - pyskl - INFO - Epoch [43][100/523] lr: 4.760e-02, eta: 17:36:40, time: 0.707, data_time: 0.269, memory: 7964, top1_acc: 0.6488, top5_acc: 0.9247, loss_cls: 4.5454, loss: 4.5454
2025-06-03 16:45:18,683 - pyskl - INFO - Epoch [43][200/523] lr: 4.758e-02, eta: 17:35:35, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.6238, top5_acc: 0.8997, loss_cls: 4.7657, loss: 4.7657
2025-06-03 16:46:02,727 - pyskl - INFO - Epoch [43][300/523] lr: 4.756e-02, eta: 17:34:30, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.6328, top5_acc: 0.9012, loss_cls: 4.8155, loss: 4.8155
2025-06-03 16:46:46,984 - pyskl - INFO - Epoch [43][400/523] lr: 4.753e-02, eta: 17:33:27, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.6428, top5_acc: 0.9075, loss_cls: 4.7964, loss: 4.7964
2025-06-03 16:47:31,158 - pyskl - INFO - Epoch [43][500/523] lr: 4.751e-02, eta: 17:32:23, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6272, top5_acc: 0.9056, loss_cls: 4.7634, loss: 4.7634
2025-06-03 16:47:42,021 - pyskl - INFO - Saving checkpoint at 43 epochs
2025-06-03 16:48:10,322 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 16:48:10,396 - pyskl - INFO -
top1_acc 0.3431
top5_acc 0.5911
2025-06-03 16:48:10,396 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 16:48:10,406 - pyskl - INFO -
mean_acc 0.3423
2025-06-03 16:48:10,408 - pyskl - INFO - Epoch(val) [43][198] top1_acc: 0.3431, top5_acc: 0.5911, mean_class_accuracy: 0.3423
2025-06-03 16:49:20,426 - pyskl - INFO - Epoch [44][100/523] lr: 4.749e-02, eta: 17:32:38, time: 0.700, data_time: 0.261, memory: 7964, top1_acc: 0.6475, top5_acc: 0.9119, loss_cls: 4.7002, loss: 4.7002
2025-06-03 16:50:04,664 - pyskl - INFO - Epoch [44][200/523] lr: 4.746e-02, eta: 17:31:34, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6406, top5_acc: 0.9134, loss_cls: 4.6614, loss: 4.6614
2025-06-03 16:50:49,256 - pyskl - INFO - Epoch [44][300/523] lr: 4.744e-02, eta: 17:30:33, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.6331, top5_acc: 0.9053, loss_cls: 4.7265, loss: 4.7265
2025-06-03 16:51:33,954 - pyskl - INFO - Epoch [44][400/523] lr: 4.742e-02, eta: 17:29:33, time: 0.447, data_time: 0.000, memory: 7964, top1_acc: 0.6200, top5_acc: 0.9031, loss_cls: 4.7370, loss: 4.7370
2025-06-03 16:52:18,354 - pyskl - INFO - Epoch [44][500/523] lr: 4.740e-02, eta: 17:28:31, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.6403, top5_acc: 0.9050, loss_cls: 4.6349, loss: 4.6349
2025-06-03 16:52:29,243 - pyskl - INFO - Saving checkpoint at 44 epochs
2025-06-03 16:52:57,700 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 16:52:57,766 - pyskl - INFO -
top1_acc 0.3401
top5_acc 0.5890
2025-06-03 16:52:57,766 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 16:52:57,773 - pyskl - INFO -
mean_acc 0.3382
2025-06-03 16:52:57,774 - pyskl - INFO - Epoch(val) [44][198] top1_acc: 0.3401, top5_acc: 0.5890, mean_class_accuracy: 0.3382
2025-06-03 16:54:07,555 - pyskl - INFO - Epoch [45][100/523] lr: 4.737e-02, eta: 17:28:42, time: 0.698, data_time: 0.263, memory: 7964, top1_acc: 0.6650, top5_acc: 0.9200, loss_cls: 4.5838, loss: 4.5838
2025-06-03 16:54:51,411 - pyskl - INFO - Epoch [45][200/523] lr: 4.735e-02, eta: 17:27:37, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.6450, top5_acc: 0.9134, loss_cls: 4.6979, loss: 4.6979
2025-06-03 16:55:35,500 - pyskl - INFO - Epoch [45][300/523] lr: 4.733e-02, eta: 17:26:33, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.6475, top5_acc: 0.9097, loss_cls: 4.6617, loss: 4.6617
2025-06-03 16:56:19,631 - pyskl - INFO - Epoch [45][400/523] lr: 4.730e-02, eta: 17:25:30, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.6316, top5_acc: 0.9047, loss_cls: 4.6642, loss: 4.6642
2025-06-03 16:57:03,707 - pyskl - INFO - Epoch [45][500/523] lr: 4.728e-02, eta: 17:24:26, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.6212, top5_acc: 0.9047, loss_cls: 4.8428, loss: 4.8428
2025-06-03 16:57:14,576 - pyskl - INFO - Saving checkpoint at 45 epochs
2025-06-03 16:57:43,209 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 16:57:43,279 - pyskl - INFO -
top1_acc 0.3447
top5_acc 0.5811
2025-06-03 16:57:43,279 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 16:57:43,287 - pyskl - INFO -
mean_acc 0.3426
2025-06-03 16:57:43,289 - pyskl - INFO - Epoch(val) [45][198] top1_acc: 0.3447, top5_acc: 0.5811, mean_class_accuracy: 0.3426
2025-06-03 16:58:53,207 - pyskl - INFO - Epoch [46][100/523] lr: 4.725e-02, eta: 17:24:37, time: 0.699, data_time: 0.263, memory: 7964, top1_acc: 0.6525, top5_acc: 0.9128, loss_cls: 4.6242, loss: 4.6242
2025-06-03 16:59:37,593 - pyskl - INFO - Epoch [46][200/523] lr: 4.723e-02, eta: 17:23:35, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.6538, top5_acc: 0.9163, loss_cls: 4.6115, loss: 4.6115
2025-06-03 17:00:21,785 - pyskl - INFO - Epoch [46][300/523] lr: 4.721e-02, eta: 17:22:32, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6422, top5_acc: 0.9084, loss_cls: 4.7597, loss: 4.7597
2025-06-03 17:01:06,100 - pyskl - INFO - Epoch [46][400/523] lr: 4.718e-02, eta: 17:21:30, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.6375, top5_acc: 0.9106, loss_cls: 4.6612, loss: 4.6612
2025-06-03 17:01:50,541 - pyskl - INFO - Epoch [46][500/523] lr: 4.716e-02, eta: 17:20:29, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.6319, top5_acc: 0.9031, loss_cls: 4.7725, loss: 4.7725
2025-06-03 17:02:01,455 - pyskl - INFO - Saving checkpoint at 46 epochs
2025-06-03 17:02:30,119 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 17:02:30,191 - pyskl - INFO -
top1_acc 0.3382
top5_acc 0.5779
2025-06-03 17:02:30,191 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 17:02:30,204 - pyskl - INFO -
mean_acc 0.3401
2025-06-03 17:02:30,206 - pyskl - INFO - Epoch(val) [46][198] top1_acc: 0.3382, top5_acc: 0.5779, mean_class_accuracy: 0.3401
2025-06-03 17:03:40,600 - pyskl - INFO - Epoch [47][100/523] lr: 4.713e-02, eta: 17:20:40, time: 0.704, data_time: 0.262, memory: 7964, top1_acc: 0.6562, top5_acc: 0.9203, loss_cls: 4.5650, loss: 4.5650
2025-06-03 17:04:24,911 - pyskl - INFO - Epoch [47][200/523] lr: 4.711e-02, eta: 17:19:38, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.6441, top5_acc: 0.9175, loss_cls: 4.6513, loss: 4.6513
2025-06-03 17:05:09,431 - pyskl - INFO - Epoch [47][300/523] lr: 4.709e-02, eta: 17:18:38, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.6556, top5_acc: 0.9131, loss_cls: 4.6677, loss: 4.6677
2025-06-03 17:05:54,030 - pyskl - INFO - Epoch [47][400/523] lr: 4.706e-02, eta: 17:17:38, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.6381, top5_acc: 0.9075, loss_cls: 4.6321, loss: 4.6321
2025-06-03 17:06:38,547 - pyskl - INFO - Epoch [47][500/523] lr: 4.704e-02, eta: 17:16:37, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.6369, top5_acc: 0.8994, loss_cls: 4.7330, loss: 4.7330
2025-06-03 17:06:49,395 - pyskl - INFO - Saving checkpoint at 47 epochs
2025-06-03 17:07:18,056 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 17:07:18,128 - pyskl - INFO -
top1_acc 0.3445
top5_acc 0.5947
2025-06-03 17:07:18,129 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 17:07:18,138 - pyskl - INFO -
mean_acc 0.3454
2025-06-03 17:07:18,141 - pyskl - INFO - Epoch(val) [47][198] top1_acc: 0.3445, top5_acc: 0.5947, mean_class_accuracy: 0.3454
2025-06-03 17:08:29,616 - pyskl - INFO - Epoch [48][100/523] lr: 4.701e-02, eta: 17:16:53, time: 0.715, data_time: 0.270, memory: 7964, top1_acc: 0.6637, top5_acc: 0.9225, loss_cls: 4.5385, loss: 4.5385
2025-06-03 17:09:14,175 - pyskl - INFO - Epoch [48][200/523] lr: 4.699e-02, eta: 17:15:52, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.6575, top5_acc: 0.9134, loss_cls: 4.6745, loss: 4.6745
2025-06-03 17:09:58,916 - pyskl - INFO - Epoch [48][300/523] lr: 4.696e-02, eta: 17:14:53, time: 0.447, data_time: 0.000, memory: 7964, top1_acc: 0.6428, top5_acc: 0.9159, loss_cls: 4.7132, loss: 4.7132
2025-06-03 17:10:43,172 - pyskl - INFO - Epoch [48][400/523] lr: 4.694e-02, eta: 17:13:51, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.6503, top5_acc: 0.9122, loss_cls: 4.6540, loss: 4.6540
2025-06-03 17:11:27,688 - pyskl - INFO - Epoch [48][500/523] lr: 4.691e-02, eta: 17:12:51, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.6475, top5_acc: 0.9094, loss_cls: 4.6958, loss: 4.6958
2025-06-03 17:11:38,594 - pyskl - INFO - Saving checkpoint at 48 epochs
2025-06-03 17:12:07,397 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 17:12:07,473 - pyskl - INFO -
top1_acc 0.3480
top5_acc 0.5711
2025-06-03 17:12:07,473 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 17:12:07,483 - pyskl - INFO -
mean_acc 0.3474
2025-06-03 17:12:07,486 - pyskl - INFO - Epoch(val) [48][198] top1_acc: 0.3480, top5_acc: 0.5711, mean_class_accuracy: 0.3474
2025-06-03 17:13:20,368 - pyskl - INFO - Epoch [49][100/523] lr: 4.688e-02, eta: 17:13:12, time: 0.729, data_time: 0.285, memory: 7964, top1_acc: 0.6766, top5_acc: 0.9272, loss_cls: 4.4326, loss: 4.4326
2025-06-03 17:14:04,444 - pyskl - INFO - Epoch [49][200/523] lr: 4.686e-02, eta: 17:12:09, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.6609, top5_acc: 0.9128, loss_cls: 4.5376, loss: 4.5376
2025-06-03 17:14:48,527 - pyskl - INFO - Epoch [49][300/523] lr: 4.684e-02, eta: 17:11:07, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.6512, top5_acc: 0.9159, loss_cls: 4.6938, loss: 4.6938
2025-06-03 17:15:32,657 - pyskl - INFO - Epoch [49][400/523] lr: 4.681e-02, eta: 17:10:05, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.6284, top5_acc: 0.9009, loss_cls: 4.6957, loss: 4.6957
2025-06-03 17:16:16,655 - pyskl - INFO - Epoch [49][500/523] lr: 4.679e-02, eta: 17:09:02, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.6503, top5_acc: 0.9159, loss_cls: 4.7207, loss: 4.7207
2025-06-03 17:16:27,098 - pyskl - INFO - Saving checkpoint at 49 epochs
2025-06-03 17:16:55,445 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 17:16:55,516 - pyskl - INFO -
top1_acc 0.3637
top5_acc 0.6152
2025-06-03 17:16:55,517 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 17:16:55,526 - pyskl - INFO -
mean_acc 0.3643
2025-06-03 17:16:55,588 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/k_2/best_top1_acc_epoch_35.pth was removed
2025-06-03 17:16:57,075 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_49.pth.
2025-06-03 17:16:57,076 - pyskl - INFO - Best top1_acc is 0.3637 at 49 epoch.
2025-06-03 17:16:57,078 - pyskl - INFO - Epoch(val) [49][198] top1_acc: 0.3637, top5_acc: 0.6152, mean_class_accuracy: 0.3643
2025-06-03 17:18:04,319 - pyskl - INFO - Epoch [50][100/523] lr: 4.676e-02, eta: 17:08:52, time: 0.672, data_time: 0.255, memory: 7964, top1_acc: 0.6538, top5_acc: 0.9209, loss_cls: 4.5614, loss: 4.5614
2025-06-03 17:18:46,549 - pyskl - INFO - Epoch [50][200/523] lr: 4.673e-02, eta: 17:07:40, time: 0.422, data_time: 0.000, memory: 7964, top1_acc: 0.6553, top5_acc: 0.9200, loss_cls: 4.6307, loss: 4.6307
2025-06-03 17:19:30,006 - pyskl - INFO - Epoch [50][300/523] lr: 4.671e-02, eta: 17:06:35, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.6338, top5_acc: 0.9122, loss_cls: 4.5776, loss: 4.5776
2025-06-03 17:20:13,363 - pyskl - INFO - Epoch [50][400/523] lr: 4.668e-02, eta: 17:05:30, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.6409, top5_acc: 0.9044, loss_cls: 4.6752, loss: 4.6752
2025-06-03 17:20:56,689 - pyskl - INFO - Epoch [50][500/523] lr: 4.666e-02, eta: 17:04:24, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.6503, top5_acc: 0.9106, loss_cls: 4.6119, loss: 4.6119
2025-06-03 17:21:07,097 - pyskl - INFO - Saving checkpoint at 50 epochs
2025-06-03 17:41:59,805 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 17:41:59,872 - pyskl - INFO -
top1_acc 0.3756
top5_acc 0.6206
2025-06-03 17:41:59,872 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 17:41:59,879 - pyskl - INFO -
mean_acc 0.3749
2025-06-03 17:41:59,939 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/k_2/best_top1_acc_epoch_49.pth was removed
2025-06-03 17:42:01,419 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_50.pth.
2025-06-03 17:42:01,420 - pyskl - INFO - Best top1_acc is 0.3756 at 50 epoch.
2025-06-03 17:42:01,423 - pyskl - INFO - Epoch(val) [50][198] top1_acc: 0.3756, top5_acc: 0.6206, mean_class_accuracy: 0.3749
2025-06-03 17:43:10,108 - pyskl - INFO - Epoch [51][100/523] lr: 4.663e-02, eta: 17:04:21, time: 0.687, data_time: 0.249, memory: 7964, top1_acc: 0.6569, top5_acc: 0.9213, loss_cls: 4.4495, loss: 4.4495
2025-06-03 17:43:54,131 - pyskl - INFO - Epoch [51][200/523] lr: 4.660e-02, eta: 17:03:19, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.6584, top5_acc: 0.9106, loss_cls: 4.5690, loss: 4.5690
2025-06-03 17:44:37,641 - pyskl - INFO - Epoch [51][300/523] lr: 4.658e-02, eta: 17:02:14, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.6500, top5_acc: 0.9187, loss_cls: 4.6280, loss: 4.6280
2025-06-03 17:45:20,341 - pyskl - INFO - Epoch [51][400/523] lr: 4.655e-02, eta: 17:01:06, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.6434, top5_acc: 0.9150, loss_cls: 4.6091, loss: 4.6091
2025-06-03 17:46:04,511 - pyskl - INFO - Epoch [51][500/523] lr: 4.652e-02, eta: 17:00:05, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6488, top5_acc: 0.9175, loss_cls: 4.6106, loss: 4.6106
2025-06-03 17:46:15,314 - pyskl - INFO - Saving checkpoint at 51 epochs
2025-06-03 17:46:43,559 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 17:46:43,626 - pyskl - INFO -
top1_acc 0.3376
top5_acc 0.5962
2025-06-03 17:46:43,627 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 17:46:43,634 - pyskl - INFO -
mean_acc 0.3367
2025-06-03 17:46:43,635 - pyskl - INFO - Epoch(val) [51][198] top1_acc: 0.3376, top5_acc: 0.5962, mean_class_accuracy: 0.3367
2025-06-03 17:47:52,434 - pyskl - INFO - Epoch [52][100/523] lr: 4.649e-02, eta: 17:00:01, time: 0.688, data_time: 0.251, memory: 7964, top1_acc: 0.6744, top5_acc: 0.9244, loss_cls: 4.4990, loss: 4.4990
2025-06-03 17:48:36,596 - pyskl - INFO - Epoch [52][200/523] lr: 4.647e-02, eta: 16:59:00, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6450, top5_acc: 0.9166, loss_cls: 4.5266, loss: 4.5266
2025-06-03 17:49:19,793 - pyskl - INFO - Epoch [52][300/523] lr: 4.644e-02, eta: 16:57:54, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.6450, top5_acc: 0.9128, loss_cls: 4.6014, loss: 4.6014
2025-06-03 17:50:02,346 - pyskl - INFO - Epoch [52][400/523] lr: 4.642e-02, eta: 16:56:46, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.6516, top5_acc: 0.9187, loss_cls: 4.6305, loss: 4.6305
2025-06-03 17:50:46,643 - pyskl - INFO - Epoch [52][500/523] lr: 4.639e-02, eta: 16:55:46, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.6397, top5_acc: 0.9072, loss_cls: 4.7621, loss: 4.7621
2025-06-03 17:50:57,486 - pyskl - INFO - Saving checkpoint at 52 epochs
2025-06-03 17:51:25,577 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 17:51:25,645 - pyskl - INFO -
top1_acc 0.3801
top5_acc 0.6133
2025-06-03 17:51:25,645 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 17:51:25,653 - pyskl - INFO -
mean_acc 0.3803
2025-06-03 17:51:25,714 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/k_2/best_top1_acc_epoch_50.pth was removed
2025-06-03 17:51:27,201 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_52.pth.
2025-06-03 17:51:27,202 - pyskl - INFO - Best top1_acc is 0.3801 at 52 epoch.
2025-06-03 17:51:27,204 - pyskl - INFO - Epoch(val) [52][198] top1_acc: 0.3801, top5_acc: 0.6133, mean_class_accuracy: 0.3803
2025-06-03 17:52:34,144 - pyskl - INFO - Epoch [53][100/523] lr: 4.636e-02, eta: 16:55:32, time: 0.669, data_time: 0.249, memory: 7964, top1_acc: 0.6744, top5_acc: 0.9259, loss_cls: 4.4303, loss: 4.4303
2025-06-03 17:53:17,645 - pyskl - INFO - Epoch [53][200/523] lr: 4.633e-02, eta: 16:54:28, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.6547, top5_acc: 0.9097, loss_cls: 4.6401, loss: 4.6401
2025-06-03 17:54:00,993 - pyskl - INFO - Epoch [53][300/523] lr: 4.631e-02, eta: 16:53:24, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.6625, top5_acc: 0.9222, loss_cls: 4.6822, loss: 4.6822
2025-06-03 17:54:43,309 - pyskl - INFO - Epoch [53][400/523] lr: 4.628e-02, eta: 16:52:15, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 0.6466, top5_acc: 0.9128, loss_cls: 4.5873, loss: 4.5873
2025-06-03 17:55:27,497 - pyskl - INFO - Epoch [53][500/523] lr: 4.625e-02, eta: 16:51:15, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6478, top5_acc: 0.9166, loss_cls: 4.6187, loss: 4.6187
2025-06-03 17:55:38,157 - pyskl - INFO - Saving checkpoint at 53 epochs
2025-06-03 17:56:06,255 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 17:56:06,322 - pyskl - INFO -
top1_acc 0.3621
top5_acc 0.6038
2025-06-03 17:56:06,322 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 17:56:06,329 - pyskl - INFO -
mean_acc 0.3613
2025-06-03 17:56:06,331 - pyskl - INFO - Epoch(val) [53][198] top1_acc: 0.3621, top5_acc: 0.6038, mean_class_accuracy: 0.3613
2025-06-03 17:57:13,900 - pyskl - INFO - Epoch [54][100/523] lr: 4.622e-02, eta: 16:51:03, time: 0.676, data_time: 0.256, memory: 7964, top1_acc: 0.6669, top5_acc: 0.9306, loss_cls: 4.5693, loss: 4.5693
2025-06-03 17:57:58,095 - pyskl - INFO - Epoch [54][200/523] lr: 4.619e-02, eta: 16:50:03, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6881, top5_acc: 0.9350, loss_cls: 4.3428, loss: 4.3428
2025-06-03 17:58:41,210 - pyskl - INFO - Epoch [54][300/523] lr: 4.617e-02, eta: 16:48:58, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.6509, top5_acc: 0.9184, loss_cls: 4.6342, loss: 4.6342
2025-06-03 17:59:23,973 - pyskl - INFO - Epoch [54][400/523] lr: 4.614e-02, eta: 16:47:52, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.6538, top5_acc: 0.9106, loss_cls: 4.6495, loss: 4.6495
2025-06-03 18:00:08,415 - pyskl - INFO - Epoch [54][500/523] lr: 4.611e-02, eta: 16:46:53, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.6412, top5_acc: 0.8984, loss_cls: 4.5909, loss: 4.5909
2025-06-03 18:00:19,243 - pyskl - INFO - Saving checkpoint at 54 epochs
2025-06-03 18:00:47,236 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 18:00:47,304 - pyskl - INFO -
top1_acc 0.3718
top5_acc 0.6150
2025-06-03 18:00:47,304 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 18:00:47,311 - pyskl - INFO -
mean_acc 0.3715
2025-06-03 18:00:47,312 - pyskl - INFO - Epoch(val) [54][198] top1_acc: 0.3718, top5_acc: 0.6150, mean_class_accuracy: 0.3715
2025-06-03 18:01:56,527 - pyskl - INFO - Epoch [55][100/523] lr: 4.608e-02, eta: 16:46:48, time: 0.692, data_time: 0.253, memory: 7964, top1_acc: 0.6813, top5_acc: 0.9294, loss_cls: 4.4635, loss: 4.4635
2025-06-03 18:02:40,509 - pyskl - INFO - Epoch [55][200/523] lr: 4.605e-02, eta: 16:45:47, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.6669, top5_acc: 0.9266, loss_cls: 4.5031, loss: 4.5031
2025-06-03 18:03:23,625 - pyskl - INFO - Epoch [55][300/523] lr: 4.603e-02, eta: 16:44:43, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.6659, top5_acc: 0.9222, loss_cls: 4.5322, loss: 4.5322
2025-06-03 18:04:05,920 - pyskl - INFO - Epoch [55][400/523] lr: 4.600e-02, eta: 16:43:35, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 0.6406, top5_acc: 0.9156, loss_cls: 4.6416, loss: 4.6416
2025-06-03 18:04:50,196 - pyskl - INFO - Epoch [55][500/523] lr: 4.597e-02, eta: 16:42:36, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.6559, top5_acc: 0.9172, loss_cls: 4.6049, loss: 4.6049
2025-06-03 18:05:01,020 - pyskl - INFO - Saving checkpoint at 55 epochs
2025-06-03 18:05:29,016 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 18:05:29,085 - pyskl - INFO -
top1_acc 0.3536
top5_acc 0.6003
2025-06-03 18:05:29,085 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 18:05:29,092 - pyskl - INFO -
mean_acc 0.3561
2025-06-03 18:05:29,094 - pyskl - INFO - Epoch(val) [55][198] top1_acc: 0.3536, top5_acc: 0.6003, mean_class_accuracy: 0.3561
2025-06-03 18:06:38,729 - pyskl - INFO - Epoch [56][100/523] lr: 4.594e-02, eta: 16:42:31, time: 0.696, data_time: 0.254, memory: 7964, top1_acc: 0.6697, top5_acc: 0.9213, loss_cls: 4.5147, loss: 4.5147
2025-06-03 18:07:23,103 - pyskl - INFO - Epoch [56][200/523] lr: 4.591e-02, eta: 16:41:32, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.6734, top5_acc: 0.9200, loss_cls: 4.4649, loss: 4.4649
2025-06-03 18:08:06,693 - pyskl - INFO - Epoch [56][300/523] lr: 4.588e-02, eta: 16:40:31, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.6650, top5_acc: 0.9222, loss_cls: 4.4487, loss: 4.4487
2025-06-03 18:08:49,121 - pyskl - INFO - Epoch [56][400/523] lr: 4.586e-02, eta: 16:39:24, time: 0.424, data_time: 0.000, memory: 7964, top1_acc: 0.6541, top5_acc: 0.9147, loss_cls: 4.5762, loss: 4.5762
2025-06-03 18:09:33,090 - pyskl - INFO - Epoch [56][500/523] lr: 4.583e-02, eta: 16:38:24, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.6491, top5_acc: 0.9222, loss_cls: 4.6238, loss: 4.6238
2025-06-03 18:09:43,922 - pyskl - INFO - Saving checkpoint at 56 epochs
2025-06-03 18:10:12,034 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 18:10:12,102 - pyskl - INFO -
top1_acc 0.3541
top5_acc 0.6123
2025-06-03 18:10:12,102 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 18:10:12,109 - pyskl - INFO -
mean_acc 0.3537
2025-06-03 18:10:12,110 - pyskl - INFO - Epoch(val) [56][198] top1_acc: 0.3541, top5_acc: 0.6123, mean_class_accuracy: 0.3537
2025-06-03 18:11:21,566 - pyskl - INFO - Epoch [57][100/523] lr: 4.580e-02, eta: 16:38:17, time: 0.695, data_time: 0.254, memory: 7964, top1_acc: 0.6906, top5_acc: 0.9337, loss_cls: 4.4707, loss: 4.4707
2025-06-03 18:12:05,647 - pyskl - INFO - Epoch [57][200/523] lr: 4.577e-02, eta: 16:37:18, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.6666, top5_acc: 0.9291, loss_cls: 4.5496, loss: 4.5496
2025-06-03 18:12:49,127 - pyskl - INFO - Epoch [57][300/523] lr: 4.574e-02, eta: 16:36:16, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.6819, top5_acc: 0.9234, loss_cls: 4.5193, loss: 4.5193
2025-06-03 18:13:31,459 - pyskl - INFO - Epoch [57][400/523] lr: 4.571e-02, eta: 16:35:09, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 0.6584, top5_acc: 0.9172, loss_cls: 4.5852, loss: 4.5852
2025-06-03 18:14:15,323 - pyskl - INFO - Epoch [57][500/523] lr: 4.568e-02, eta: 16:34:09, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.6519, top5_acc: 0.9134, loss_cls: 4.6663, loss: 4.6663
2025-06-03 18:14:26,153 - pyskl - INFO - Saving checkpoint at 57 epochs
2025-06-03 18:14:54,189 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 18:14:54,257 - pyskl - INFO -
top1_acc 0.3542
top5_acc 0.6008
2025-06-03 18:14:54,257 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 18:14:54,264 - pyskl - INFO -
mean_acc 0.3534
2025-06-03 18:14:54,265 - pyskl - INFO - Epoch(val) [57][198] top1_acc: 0.3542, top5_acc: 0.6008, mean_class_accuracy: 0.3534
2025-06-03 18:16:03,912 - pyskl - INFO - Epoch [58][100/523] lr: 4.565e-02, eta: 16:34:02, time: 0.696, data_time: 0.253, memory: 7964, top1_acc: 0.6856, top5_acc: 0.9359, loss_cls: 4.4016, loss: 4.4016
2025-06-03 18:16:48,183 - pyskl - INFO - Epoch [58][200/523] lr: 4.562e-02, eta: 16:33:03, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.6778, top5_acc: 0.9206, loss_cls: 4.5365, loss: 4.5365
2025-06-03 18:17:31,735 - pyskl - INFO - Epoch [58][300/523] lr: 4.559e-02, eta: 16:32:02, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.6584, top5_acc: 0.9134, loss_cls: 4.6005, loss: 4.6005
2025-06-03 18:18:14,625 - pyskl - INFO - Epoch [58][400/523] lr: 4.556e-02, eta: 16:30:58, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.6706, top5_acc: 0.9231, loss_cls: 4.5223, loss: 4.5223
2025-06-03 18:18:58,865 - pyskl - INFO - Epoch [58][500/523] lr: 4.554e-02, eta: 16:30:00, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6431, top5_acc: 0.9116, loss_cls: 4.5620, loss: 4.5620
2025-06-03 18:19:09,606 - pyskl - INFO - Saving checkpoint at 58 epochs
2025-06-03 18:19:37,859 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 18:19:37,931 - pyskl - INFO -
top1_acc 0.3596
top5_acc 0.6128
2025-06-03 18:19:37,931 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 18:19:37,940 - pyskl - INFO -
mean_acc 0.3591
2025-06-03 18:19:37,941 - pyskl - INFO - Epoch(val) [58][198] top1_acc: 0.3596, top5_acc: 0.6128, mean_class_accuracy: 0.3591
2025-06-03 18:20:47,424 - pyskl - INFO - Epoch [59][100/523] lr: 4.550e-02, eta: 16:29:51, time: 0.695, data_time: 0.253, memory: 7964, top1_acc: 0.6969, top5_acc: 0.9322, loss_cls: 4.3455, loss: 4.3455
2025-06-03 18:21:31,304 - pyskl - INFO - Epoch [59][200/523] lr: 4.547e-02, eta: 16:28:51, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.6756, top5_acc: 0.9228, loss_cls: 4.4381, loss: 4.4381
2025-06-03 18:22:14,030 - pyskl - INFO - Epoch [59][300/523] lr: 4.544e-02, eta: 16:27:47, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.6584, top5_acc: 0.9197, loss_cls: 4.4671, loss: 4.4671
2025-06-03 18:22:57,008 - pyskl - INFO - Epoch [59][400/523] lr: 4.541e-02, eta: 16:26:44, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.6616, top5_acc: 0.9159, loss_cls: 4.4675, loss: 4.4675
2025-06-03 18:23:41,272 - pyskl - INFO - Epoch [59][500/523] lr: 4.539e-02, eta: 16:25:46, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.6512, top5_acc: 0.9184, loss_cls: 4.4996, loss: 4.4996
2025-06-03 18:23:52,160 - pyskl - INFO - Saving checkpoint at 59 epochs
2025-06-03 18:24:20,042 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 18:24:20,112 - pyskl - INFO -
top1_acc 0.3523
top5_acc 0.6028
2025-06-03 18:24:20,112 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 18:24:20,120 - pyskl - INFO -
mean_acc 0.3517
2025-06-03 18:24:20,121 - pyskl - INFO - Epoch(val) [59][198] top1_acc: 0.3523, top5_acc: 0.6028, mean_class_accuracy: 0.3517
2025-06-03 18:25:29,666 - pyskl - INFO - Epoch [60][100/523] lr: 4.535e-02, eta: 16:25:36, time: 0.695, data_time: 0.251, memory: 7964, top1_acc: 0.6725, top5_acc: 0.9206, loss_cls: 4.4849, loss: 4.4849
2025-06-03 18:26:13,989 - pyskl - INFO - Epoch [60][200/523] lr: 4.532e-02, eta: 16:24:39, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.6841, top5_acc: 0.9294, loss_cls: 4.3340, loss: 4.3340
2025-06-03 18:26:57,439 - pyskl - INFO - Epoch [60][300/523] lr: 4.529e-02, eta: 16:23:38, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.6753, top5_acc: 0.9281, loss_cls: 4.5158, loss: 4.5158
2025-06-03 18:27:40,624 - pyskl - INFO - Epoch [60][400/523] lr: 4.526e-02, eta: 16:22:36, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.6641, top5_acc: 0.9181, loss_cls: 4.5566, loss: 4.5566
2025-06-03 18:28:24,241 - pyskl - INFO - Epoch [60][500/523] lr: 4.523e-02, eta: 16:21:35, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.6456, top5_acc: 0.9156, loss_cls: 4.6572, loss: 4.6572
2025-06-03 18:28:34,917 - pyskl - INFO - Saving checkpoint at 60 epochs
2025-06-03 18:29:03,101 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 18:29:03,170 - pyskl - INFO -
top1_acc 0.3731
top5_acc 0.5855
2025-06-03 18:29:03,171 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 18:29:03,178 - pyskl - INFO -
mean_acc 0.3716
2025-06-03 18:29:03,179 - pyskl - INFO - Epoch(val) [60][198] top1_acc: 0.3731, top5_acc: 0.5855, mean_class_accuracy: 0.3716
2025-06-03 18:30:12,564 - pyskl - INFO - Epoch [61][100/523] lr: 4.520e-02, eta: 16:21:24, time: 0.694, data_time: 0.252, memory: 7964, top1_acc: 0.6872, top5_acc: 0.9384, loss_cls: 4.3728, loss: 4.3728
2025-06-03 18:30:56,797 - pyskl - INFO - Epoch [61][200/523] lr: 4.517e-02, eta: 16:20:27, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6663, top5_acc: 0.9231, loss_cls: 4.3907, loss: 4.3907
2025-06-03 18:31:40,207 - pyskl - INFO - Epoch [61][300/523] lr: 4.514e-02, eta: 16:19:26, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.6597, top5_acc: 0.9209, loss_cls: 4.4274, loss: 4.4274
2025-06-03 18:32:23,630 - pyskl - INFO - Epoch [61][400/523] lr: 4.511e-02, eta: 16:18:25, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.6666, top5_acc: 0.9178, loss_cls: 4.4932, loss: 4.4932
2025-06-03 18:33:07,861 - pyskl - INFO - Epoch [61][500/523] lr: 4.508e-02, eta: 16:17:27, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6597, top5_acc: 0.9163, loss_cls: 4.5211, loss: 4.5211
2025-06-03 18:33:18,666 - pyskl - INFO - Saving checkpoint at 61 epochs
2025-06-03 18:33:46,724 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 18:33:46,792 - pyskl - INFO -
top1_acc 0.3709
top5_acc 0.6096
2025-06-03 18:33:46,793 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 18:33:46,800 - pyskl - INFO -
mean_acc 0.3695
2025-06-03 18:33:46,801 - pyskl - INFO - Epoch(val) [61][198] top1_acc: 0.3709, top5_acc: 0.6096, mean_class_accuracy: 0.3695
2025-06-03 18:34:55,411 - pyskl - INFO - Epoch [62][100/523] lr: 4.504e-02, eta: 16:17:12, time: 0.686, data_time: 0.253, memory: 7964, top1_acc: 0.6844, top5_acc: 0.9319, loss_cls: 4.3525, loss: 4.3525
2025-06-03 18:35:39,600 - pyskl - INFO - Epoch [62][200/523] lr: 4.501e-02, eta: 16:16:15, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6706, top5_acc: 0.9187, loss_cls: 4.5297, loss: 4.5297
2025-06-03 18:36:22,565 - pyskl - INFO - Epoch [62][300/523] lr: 4.498e-02, eta: 16:15:12, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.6694, top5_acc: 0.9206, loss_cls: 4.4644, loss: 4.4644
2025-06-03 18:37:06,010 - pyskl - INFO - Epoch [62][400/523] lr: 4.495e-02, eta: 16:14:12, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.6697, top5_acc: 0.9241, loss_cls: 4.5335, loss: 4.5335
2025-06-03 18:37:50,219 - pyskl - INFO - Epoch [62][500/523] lr: 4.492e-02, eta: 16:13:15, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6578, top5_acc: 0.9209, loss_cls: 4.4688, loss: 4.4688
2025-06-03 18:38:01,036 - pyskl - INFO - Saving checkpoint at 62 epochs
2025-06-03 18:38:29,238 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 18:38:29,304 - pyskl - INFO -
top1_acc 0.3647
top5_acc 0.6031
2025-06-03 18:38:29,304 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 18:38:29,312 - pyskl - INFO -
mean_acc 0.3641
2025-06-03 18:38:29,313 - pyskl - INFO - Epoch(val) [62][198] top1_acc: 0.3647, top5_acc: 0.6031, mean_class_accuracy: 0.3641
2025-06-03 18:39:39,120 - pyskl - INFO - Epoch [63][100/523] lr: 4.488e-02, eta: 16:13:03, time: 0.698, data_time: 0.253, memory: 7964, top1_acc: 0.6881, top5_acc: 0.9381, loss_cls: 4.3510, loss: 4.3510
2025-06-03 18:40:23,537 - pyskl - INFO - Epoch [63][200/523] lr: 4.485e-02, eta: 16:12:07, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.6634, top5_acc: 0.9234, loss_cls: 4.5646, loss: 4.5646
2025-06-03 18:41:05,944 - pyskl - INFO - Epoch [63][300/523] lr: 4.482e-02, eta: 16:11:03, time: 0.424, data_time: 0.000, memory: 7964, top1_acc: 0.6744, top5_acc: 0.9303, loss_cls: 4.4586, loss: 4.4586
2025-06-03 18:41:49,911 - pyskl - INFO - Epoch [63][400/523] lr: 4.479e-02, eta: 16:10:05, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.6541, top5_acc: 0.9206, loss_cls: 4.5554, loss: 4.5554
2025-06-03 18:42:33,745 - pyskl - INFO - Epoch [63][500/523] lr: 4.476e-02, eta: 16:09:06, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.6794, top5_acc: 0.9244, loss_cls: 4.4851, loss: 4.4851
2025-06-03 18:42:44,550 - pyskl - INFO - Saving checkpoint at 63 epochs
2025-06-03 18:43:12,829 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 18:43:12,900 - pyskl - INFO -
top1_acc 0.3655
top5_acc 0.6111
2025-06-03 18:43:12,901 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 18:43:12,909 - pyskl - INFO -
mean_acc 0.3656
2025-06-03 18:43:12,911 - pyskl - INFO - Epoch(val) [63][198] top1_acc: 0.3655, top5_acc: 0.6111, mean_class_accuracy: 0.3656
2025-06-03 18:44:22,732 - pyskl - INFO - Epoch [64][100/523] lr: 4.472e-02, eta: 16:08:54, time: 0.698, data_time: 0.253, memory: 7964, top1_acc: 0.6925, top5_acc: 0.9303, loss_cls: 4.3770, loss: 4.3770
2025-06-03 18:45:07,067 - pyskl - INFO - Epoch [64][200/523] lr: 4.469e-02, eta: 16:07:57, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.6784, top5_acc: 0.9303, loss_cls: 4.4412, loss: 4.4412
2025-06-03 18:45:49,505 - pyskl - INFO - Epoch [64][300/523] lr: 4.466e-02, eta: 16:06:53, time: 0.424, data_time: 0.000, memory: 7964, top1_acc: 0.6897, top5_acc: 0.9297, loss_cls: 4.4523, loss: 4.4523
2025-06-03 18:46:32,524 - pyskl - INFO - Epoch [64][400/523] lr: 4.463e-02, eta: 16:05:52, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.6531, top5_acc: 0.9213, loss_cls: 4.5618, loss: 4.5618
2025-06-03 18:47:16,654 - pyskl - INFO - Epoch [64][500/523] lr: 4.460e-02, eta: 16:04:55, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.6687, top5_acc: 0.9181, loss_cls: 4.4932, loss: 4.4932
2025-06-03 18:47:27,501 - pyskl - INFO - Saving checkpoint at 64 epochs
2025-06-03 18:47:55,587 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 18:47:55,654 - pyskl - INFO -
top1_acc 0.3815
top5_acc 0.6123
2025-06-03 18:47:55,655 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 18:47:55,661 - pyskl - INFO -
mean_acc 0.3793
2025-06-03 18:47:55,721 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/k_2/best_top1_acc_epoch_52.pth was removed
2025-06-03 18:47:57,220 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_64.pth.
2025-06-03 18:47:57,221 - pyskl - INFO - Best top1_acc is 0.3815 at 64 epoch.
2025-06-03 18:47:57,224 - pyskl - INFO - Epoch(val) [64][198] top1_acc: 0.3815, top5_acc: 0.6123, mean_class_accuracy: 0.3793
2025-06-03 18:49:04,379 - pyskl - INFO - Epoch [65][100/523] lr: 4.456e-02, eta: 16:04:32, time: 0.671, data_time: 0.248, memory: 7964, top1_acc: 0.7047, top5_acc: 0.9234, loss_cls: 4.3513, loss: 4.3513
2025-06-03 18:49:48,753 - pyskl - INFO - Epoch [65][200/523] lr: 4.453e-02, eta: 16:03:36, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.6825, top5_acc: 0.9247, loss_cls: 4.4110, loss: 4.4110
2025-06-03 18:50:31,475 - pyskl - INFO - Epoch [65][300/523] lr: 4.450e-02, eta: 16:02:34, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.6819, top5_acc: 0.9244, loss_cls: 4.4344, loss: 4.4344
2025-06-03 18:51:15,304 - pyskl - INFO - Epoch [65][400/523] lr: 4.447e-02, eta: 16:01:35, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.6787, top5_acc: 0.9237, loss_cls: 4.5169, loss: 4.5169
2025-06-03 18:51:59,154 - pyskl - INFO - Epoch [65][500/523] lr: 4.444e-02, eta: 16:00:38, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.6578, top5_acc: 0.9247, loss_cls: 4.5769, loss: 4.5769
2025-06-03 18:52:09,980 - pyskl - INFO - Saving checkpoint at 65 epochs
2025-06-03 18:52:38,124 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 18:52:38,192 - pyskl - INFO -
top1_acc 0.3642
top5_acc 0.5958
2025-06-03 18:52:38,192 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 18:52:38,199 - pyskl - INFO -
mean_acc 0.3638
2025-06-03 18:52:38,200 - pyskl - INFO - Epoch(val) [65][198] top1_acc: 0.3642, top5_acc: 0.5958, mean_class_accuracy: 0.3638
2025-06-03 18:53:47,688 - pyskl - INFO - Epoch [66][100/523] lr: 4.440e-02, eta: 16:00:22, time: 0.695, data_time: 0.252, memory: 7964, top1_acc: 0.6941, top5_acc: 0.9325, loss_cls: 4.3603, loss: 4.3603
2025-06-03 18:54:31,948 - pyskl - INFO - Epoch [66][200/523] lr: 4.437e-02, eta: 15:59:26, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.6744, top5_acc: 0.9363, loss_cls: 4.4449, loss: 4.4449
2025-06-03 18:55:15,207 - pyskl - INFO - Epoch [66][300/523] lr: 4.433e-02, eta: 15:58:26, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.6719, top5_acc: 0.9234, loss_cls: 4.4238, loss: 4.4238
2025-06-03 18:55:59,211 - pyskl - INFO - Epoch [66][400/523] lr: 4.430e-02, eta: 15:57:29, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.6756, top5_acc: 0.9228, loss_cls: 4.4803, loss: 4.4803
2025-06-03 18:56:43,460 - pyskl - INFO - Epoch [66][500/523] lr: 4.427e-02, eta: 15:56:32, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.6706, top5_acc: 0.9181, loss_cls: 4.3884, loss: 4.3884
2025-06-03 18:56:54,205 - pyskl - INFO - Saving checkpoint at 66 epochs
2025-06-03 18:57:22,536 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 18:57:22,604 - pyskl - INFO -
top1_acc 0.3742
top5_acc 0.6161
2025-06-03 18:57:22,604 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 18:57:22,611 - pyskl - INFO -
mean_acc 0.3751
2025-06-03 18:57:22,612 - pyskl - INFO - Epoch(val) [66][198] top1_acc: 0.3742, top5_acc: 0.6161, mean_class_accuracy: 0.3751
2025-06-03 18:58:32,409 - pyskl - INFO - Epoch [67][100/523] lr: 4.423e-02, eta: 15:56:18, time: 0.698, data_time: 0.252, memory: 7964, top1_acc: 0.6953, top5_acc: 0.9319, loss_cls: 4.3364, loss: 4.3364
2025-06-03 18:59:16,200 - pyskl - INFO - Epoch [67][200/523] lr: 4.420e-02, eta: 15:55:20, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.6753, top5_acc: 0.9359, loss_cls: 4.3853, loss: 4.3853
2025-06-03 18:59:58,532 - pyskl - INFO - Epoch [67][300/523] lr: 4.417e-02, eta: 15:54:17, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 0.6713, top5_acc: 0.9350, loss_cls: 4.4746, loss: 4.4746
2025-06-03 19:00:42,885 - pyskl - INFO - Epoch [67][400/523] lr: 4.413e-02, eta: 15:53:21, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.6706, top5_acc: 0.9187, loss_cls: 4.5586, loss: 4.5586
2025-06-03 19:01:26,999 - pyskl - INFO - Epoch [67][500/523] lr: 4.410e-02, eta: 15:52:24, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.6784, top5_acc: 0.9234, loss_cls: 4.5591, loss: 4.5591
2025-06-03 19:01:37,845 - pyskl - INFO - Saving checkpoint at 67 epochs
2025-06-03 19:02:05,925 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 19:02:05,992 - pyskl - INFO -
top1_acc 0.3528
top5_acc 0.6074
2025-06-03 19:02:05,993 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 19:02:05,999 - pyskl - INFO -
mean_acc 0.3525
2025-06-03 19:02:06,000 - pyskl - INFO - Epoch(val) [67][198] top1_acc: 0.3528, top5_acc: 0.6074, mean_class_accuracy: 0.3525
2025-06-03 19:03:15,430 - pyskl - INFO - Epoch [68][100/523] lr: 4.406e-02, eta: 15:52:07, time: 0.694, data_time: 0.252, memory: 7964, top1_acc: 0.7094, top5_acc: 0.9422, loss_cls: 4.2183, loss: 4.2183
2025-06-03 19:03:59,351 - pyskl - INFO - Epoch [68][200/523] lr: 4.403e-02, eta: 15:51:10, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.6947, top5_acc: 0.9328, loss_cls: 4.3027, loss: 4.3027
2025-06-03 19:04:42,829 - pyskl - INFO - Epoch [68][300/523] lr: 4.400e-02, eta: 15:50:11, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.6928, top5_acc: 0.9325, loss_cls: 4.3410, loss: 4.3410
2025-06-03 19:05:26,168 - pyskl - INFO - Epoch [68][400/523] lr: 4.397e-02, eta: 15:49:12, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.6737, top5_acc: 0.9231, loss_cls: 4.5162, loss: 4.5162
2025-06-03 19:06:10,376 - pyskl - INFO - Epoch [68][500/523] lr: 4.393e-02, eta: 15:48:16, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6663, top5_acc: 0.9144, loss_cls: 4.4811, loss: 4.4811
2025-06-03 19:06:21,218 - pyskl - INFO - Saving checkpoint at 68 epochs
2025-06-03 19:06:49,195 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 19:06:49,263 - pyskl - INFO -
top1_acc 0.3767
top5_acc 0.6025
2025-06-03 19:06:49,264 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 19:06:49,271 - pyskl - INFO -
mean_acc 0.3766
2025-06-03 19:06:49,272 - pyskl - INFO - Epoch(val) [68][198] top1_acc: 0.3767, top5_acc: 0.6025, mean_class_accuracy: 0.3766
2025-06-03 19:07:58,901 - pyskl - INFO - Epoch [69][100/523] lr: 4.389e-02, eta: 15:47:59, time: 0.696, data_time: 0.252, memory: 7964, top1_acc: 0.6972, top5_acc: 0.9359, loss_cls: 4.3237, loss: 4.3237
2025-06-03 19:08:43,276 - pyskl - INFO - Epoch [69][200/523] lr: 4.386e-02, eta: 15:47:04, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.6941, top5_acc: 0.9284, loss_cls: 4.4521, loss: 4.4521
2025-06-03 19:09:25,968 - pyskl - INFO - Epoch [69][300/523] lr: 4.383e-02, eta: 15:46:02, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.6775, top5_acc: 0.9259, loss_cls: 4.4777, loss: 4.4777
2025-06-03 19:10:09,139 - pyskl - INFO - Epoch [69][400/523] lr: 4.379e-02, eta: 15:45:03, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.6716, top5_acc: 0.9250, loss_cls: 4.3958, loss: 4.3958
2025-06-03 19:10:53,073 - pyskl - INFO - Epoch [69][500/523] lr: 4.376e-02, eta: 15:44:06, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.6722, top5_acc: 0.9256, loss_cls: 4.4041, loss: 4.4041
2025-06-03 19:11:03,684 - pyskl - INFO - Saving checkpoint at 69 epochs
2025-06-03 19:11:31,736 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 19:11:31,804 - pyskl - INFO -
top1_acc 0.3686
top5_acc 0.6152
2025-06-03 19:11:31,804 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 19:11:31,810 - pyskl - INFO -
mean_acc 0.3702
2025-06-03 19:11:31,811 - pyskl - INFO - Epoch(val) [69][198] top1_acc: 0.3686, top5_acc: 0.6152, mean_class_accuracy: 0.3702
2025-06-03 19:12:41,427 - pyskl - INFO - Epoch [70][100/523] lr: 4.372e-02, eta: 15:43:48, time: 0.696, data_time: 0.256, memory: 7964, top1_acc: 0.7041, top5_acc: 0.9366, loss_cls: 4.2652, loss: 4.2652
2025-06-03 19:13:25,500 - pyskl - INFO - Epoch [70][200/523] lr: 4.369e-02, eta: 15:42:52, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.6778, top5_acc: 0.9259, loss_cls: 4.3903, loss: 4.3903
2025-06-03 19:14:07,897 - pyskl - INFO - Epoch [70][300/523] lr: 4.365e-02, eta: 15:41:50, time: 0.424, data_time: 0.000, memory: 7964, top1_acc: 0.6800, top5_acc: 0.9278, loss_cls: 4.3727, loss: 4.3727
2025-06-03 19:14:51,594 - pyskl - INFO - Epoch [70][400/523] lr: 4.362e-02, eta: 15:40:53, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.6634, top5_acc: 0.9263, loss_cls: 4.3604, loss: 4.3604
2025-06-03 19:15:35,512 - pyskl - INFO - Epoch [70][500/523] lr: 4.359e-02, eta: 15:39:56, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.6728, top5_acc: 0.9263, loss_cls: 4.3602, loss: 4.3602
2025-06-03 19:15:46,283 - pyskl - INFO - Saving checkpoint at 70 epochs
2025-06-03 19:16:14,240 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 19:16:14,309 - pyskl - INFO -
top1_acc 0.3747
top5_acc 0.6169
2025-06-03 19:16:14,309 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 19:16:14,316 - pyskl - INFO -
mean_acc 0.3759
2025-06-03 19:16:14,318 - pyskl - INFO - Epoch(val) [70][198] top1_acc: 0.3747, top5_acc: 0.6169, mean_class_accuracy: 0.3759
2025-06-03 19:17:23,902 - pyskl - INFO - Epoch [71][100/523] lr: 4.355e-02, eta: 15:39:38, time: 0.696, data_time: 0.254, memory: 7964, top1_acc: 0.7006, top5_acc: 0.9334, loss_cls: 4.3260, loss: 4.3260
2025-06-03 19:18:08,125 - pyskl - INFO - Epoch [71][200/523] lr: 4.351e-02, eta: 15:38:42, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6872, top5_acc: 0.9347, loss_cls: 4.3158, loss: 4.3158
2025-06-03 19:18:51,494 - pyskl - INFO - Epoch [71][300/523] lr: 4.348e-02, eta: 15:37:44, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.6884, top5_acc: 0.9209, loss_cls: 4.3814, loss: 4.3814
2025-06-03 19:19:35,666 - pyskl - INFO - Epoch [71][400/523] lr: 4.344e-02, eta: 15:36:48, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6687, top5_acc: 0.9206, loss_cls: 4.3868, loss: 4.3868
2025-06-03 19:20:19,814 - pyskl - INFO - Epoch [71][500/523] lr: 4.341e-02, eta: 15:35:52, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.6672, top5_acc: 0.9297, loss_cls: 4.5267, loss: 4.5267
2025-06-03 19:20:30,707 - pyskl - INFO - Saving checkpoint at 71 epochs
2025-06-03 19:20:59,033 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 19:20:59,102 - pyskl - INFO -
top1_acc 0.3588
top5_acc 0.5962
2025-06-03 19:20:59,102 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 19:20:59,109 - pyskl - INFO -
mean_acc 0.3605
2025-06-03 19:20:59,111 - pyskl - INFO - Epoch(val) [71][198] top1_acc: 0.3588, top5_acc: 0.5962, mean_class_accuracy: 0.3605
2025-06-03 19:22:08,437 - pyskl - INFO - Epoch [72][100/523] lr: 4.337e-02, eta: 15:35:32, time: 0.693, data_time: 0.254, memory: 7964, top1_acc: 0.7156, top5_acc: 0.9481, loss_cls: 4.2337, loss: 4.2337
2025-06-03 19:22:52,486 - pyskl - INFO - Epoch [72][200/523] lr: 4.333e-02, eta: 15:34:36, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.6894, top5_acc: 0.9331, loss_cls: 4.3183, loss: 4.3183
2025-06-03 19:23:36,258 - pyskl - INFO - Epoch [72][300/523] lr: 4.330e-02, eta: 15:33:39, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.6966, top5_acc: 0.9369, loss_cls: 4.3381, loss: 4.3381
2025-06-03 19:24:20,499 - pyskl - INFO - Epoch [72][400/523] lr: 4.327e-02, eta: 15:32:44, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6803, top5_acc: 0.9234, loss_cls: 4.4048, loss: 4.4048
2025-06-03 19:25:04,838 - pyskl - INFO - Epoch [72][500/523] lr: 4.323e-02, eta: 15:31:49, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.6794, top5_acc: 0.9241, loss_cls: 4.4617, loss: 4.4617
2025-06-03 19:25:15,708 - pyskl - INFO - Saving checkpoint at 72 epochs
2025-06-03 19:25:43,729 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 19:25:43,799 - pyskl - INFO -
top1_acc 0.3934
top5_acc 0.6336
2025-06-03 19:25:43,799 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 19:25:43,806 - pyskl - INFO -
mean_acc 0.3914
2025-06-03 19:25:43,865 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/k_2/best_top1_acc_epoch_64.pth was removed
2025-06-03 19:25:45,535 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_72.pth.
2025-06-03 19:25:45,537 - pyskl - INFO - Best top1_acc is 0.3934 at 72 epoch.
2025-06-03 19:25:45,539 - pyskl - INFO - Epoch(val) [72][198] top1_acc: 0.3934, top5_acc: 0.6336, mean_class_accuracy: 0.3914
2025-06-03 19:26:54,720 - pyskl - INFO - Epoch [73][100/523] lr: 4.319e-02, eta: 15:31:27, time: 0.692, data_time: 0.250, memory: 7964, top1_acc: 0.7297, top5_acc: 0.9406, loss_cls: 4.2873, loss: 4.2873
2025-06-03 19:27:39,085 - pyskl - INFO - Epoch [73][200/523] lr: 4.316e-02, eta: 15:30:32, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.7016, top5_acc: 0.9353, loss_cls: 4.2837, loss: 4.2837
2025-06-03 19:28:22,629 - pyskl - INFO - Epoch [73][300/523] lr: 4.312e-02, eta: 15:29:35, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.6869, top5_acc: 0.9256, loss_cls: 4.4179, loss: 4.4179
2025-06-03 19:29:06,917 - pyskl - INFO - Epoch [73][400/523] lr: 4.309e-02, eta: 15:28:40, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.6887, top5_acc: 0.9319, loss_cls: 4.3845, loss: 4.3845
2025-06-03 19:29:51,188 - pyskl - INFO - Epoch [73][500/523] lr: 4.305e-02, eta: 15:27:45, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.6906, top5_acc: 0.9306, loss_cls: 4.2972, loss: 4.2972
2025-06-03 19:30:02,022 - pyskl - INFO - Saving checkpoint at 73 epochs
2025-06-03 19:30:30,257 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 19:30:30,325 - pyskl - INFO -
top1_acc 0.3845
top5_acc 0.6263
2025-06-03 19:30:30,326 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 19:30:30,333 - pyskl - INFO -
mean_acc 0.3844
2025-06-03 19:30:30,334 - pyskl - INFO - Epoch(val) [73][198] top1_acc: 0.3845, top5_acc: 0.6263, mean_class_accuracy: 0.3844
2025-06-03 19:31:39,686 - pyskl - INFO - Epoch [74][100/523] lr: 4.301e-02, eta: 15:27:24, time: 0.693, data_time: 0.252, memory: 7964, top1_acc: 0.7072, top5_acc: 0.9397, loss_cls: 4.2376, loss: 4.2376
2025-06-03 19:32:23,591 - pyskl - INFO - Epoch [74][200/523] lr: 4.297e-02, eta: 15:26:27, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.6978, top5_acc: 0.9372, loss_cls: 4.3038, loss: 4.3038
2025-06-03 19:33:05,964 - pyskl - INFO - Epoch [74][300/523] lr: 4.294e-02, eta: 15:25:27, time: 0.424, data_time: 0.000, memory: 7964, top1_acc: 0.6891, top5_acc: 0.9341, loss_cls: 4.3484, loss: 4.3484
2025-06-03 19:33:50,034 - pyskl - INFO - Epoch [74][400/523] lr: 4.291e-02, eta: 15:24:31, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.6719, top5_acc: 0.9237, loss_cls: 4.5538, loss: 4.5538
2025-06-03 19:34:34,221 - pyskl - INFO - Epoch [74][500/523] lr: 4.287e-02, eta: 15:23:36, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6831, top5_acc: 0.9247, loss_cls: 4.4893, loss: 4.4893
2025-06-03 19:34:45,079 - pyskl - INFO - Saving checkpoint at 74 epochs
2025-06-03 19:35:13,117 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 19:35:13,185 - pyskl - INFO -
top1_acc 0.3861
top5_acc 0.6166
2025-06-03 19:35:13,186 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 19:35:13,193 - pyskl - INFO -
mean_acc 0.3854
2025-06-03 19:35:13,195 - pyskl - INFO - Epoch(val) [74][198] top1_acc: 0.3861, top5_acc: 0.6166, mean_class_accuracy: 0.3854
2025-06-03 19:36:23,082 - pyskl - INFO - Epoch [75][100/523] lr: 4.283e-02, eta: 15:23:15, time: 0.699, data_time: 0.253, memory: 7964, top1_acc: 0.7056, top5_acc: 0.9409, loss_cls: 4.2267, loss: 4.2267
2025-06-03 19:37:07,177 - pyskl - INFO - Epoch [75][200/523] lr: 4.279e-02, eta: 15:22:20, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.6900, top5_acc: 0.9347, loss_cls: 4.2738, loss: 4.2738
2025-06-03 19:37:51,093 - pyskl - INFO - Epoch [75][300/523] lr: 4.276e-02, eta: 15:21:24, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.6884, top5_acc: 0.9319, loss_cls: 4.3990, loss: 4.3990
2025-06-03 19:38:35,050 - pyskl - INFO - Epoch [75][400/523] lr: 4.272e-02, eta: 15:20:28, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.6847, top5_acc: 0.9281, loss_cls: 4.3709, loss: 4.3709
2025-06-03 19:39:18,986 - pyskl - INFO - Epoch [75][500/523] lr: 4.269e-02, eta: 15:19:33, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.6734, top5_acc: 0.9291, loss_cls: 4.4020, loss: 4.4020
2025-06-03 19:39:29,644 - pyskl - INFO - Saving checkpoint at 75 epochs
2025-06-03 19:39:57,814 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 19:39:57,881 - pyskl - INFO -
top1_acc 0.3642
top5_acc 0.5935
2025-06-03 19:39:57,881 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 19:39:57,888 - pyskl - INFO -
mean_acc 0.3635
2025-06-03 19:39:57,889 - pyskl - INFO - Epoch(val) [75][198] top1_acc: 0.3642, top5_acc: 0.5935, mean_class_accuracy: 0.3635
2025-06-03 19:41:06,731 - pyskl - INFO - Epoch [76][100/523] lr: 4.264e-02, eta: 15:19:08, time: 0.688, data_time: 0.253, memory: 7964, top1_acc: 0.7119, top5_acc: 0.9472, loss_cls: 4.1111, loss: 4.1111
2025-06-03 19:41:51,130 - pyskl - INFO - Epoch [76][200/523] lr: 4.261e-02, eta: 15:18:14, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.7063, top5_acc: 0.9372, loss_cls: 4.2546, loss: 4.2546
2025-06-03 19:42:33,885 - pyskl - INFO - Epoch [76][300/523] lr: 4.257e-02, eta: 15:17:15, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.6884, top5_acc: 0.9278, loss_cls: 4.3054, loss: 4.3054
2025-06-03 19:43:15,830 - pyskl - INFO - Epoch [76][400/523] lr: 4.254e-02, eta: 15:16:13, time: 0.419, data_time: 0.000, memory: 7964, top1_acc: 0.6822, top5_acc: 0.9278, loss_cls: 4.4786, loss: 4.4786
2025-06-03 19:43:59,724 - pyskl - INFO - Epoch [76][500/523] lr: 4.250e-02, eta: 15:15:18, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.6878, top5_acc: 0.9278, loss_cls: 4.3299, loss: 4.3299
2025-06-03 19:44:10,502 - pyskl - INFO - Saving checkpoint at 76 epochs
2025-06-03 19:44:38,817 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 19:44:38,886 - pyskl - INFO -
top1_acc 0.3702
top5_acc 0.6125
2025-06-03 19:44:38,886 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 19:44:38,893 - pyskl - INFO -
mean_acc 0.3712
2025-06-03 19:44:38,895 - pyskl - INFO - Epoch(val) [76][198] top1_acc: 0.3702, top5_acc: 0.6125, mean_class_accuracy: 0.3712
2025-06-03 19:45:48,704 - pyskl - INFO - Epoch [77][100/523] lr: 4.246e-02, eta: 15:14:56, time: 0.698, data_time: 0.254, memory: 7964, top1_acc: 0.7150, top5_acc: 0.9491, loss_cls: 4.2117, loss: 4.2117
2025-06-03 19:46:32,844 - pyskl - INFO - Epoch [77][200/523] lr: 4.242e-02, eta: 15:14:01, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7094, top5_acc: 0.9353, loss_cls: 4.2860, loss: 4.2860
2025-06-03 19:47:15,869 - pyskl - INFO - Epoch [77][300/523] lr: 4.238e-02, eta: 15:13:02, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.6928, top5_acc: 0.9344, loss_cls: 4.2637, loss: 4.2637
2025-06-03 19:47:59,378 - pyskl - INFO - Epoch [77][400/523] lr: 4.235e-02, eta: 15:12:06, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.6775, top5_acc: 0.9231, loss_cls: 4.4179, loss: 4.4179
2025-06-03 19:48:43,689 - pyskl - INFO - Epoch [77][500/523] lr: 4.231e-02, eta: 15:11:11, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.6825, top5_acc: 0.9241, loss_cls: 4.4474, loss: 4.4474
2025-06-03 19:48:54,453 - pyskl - INFO - Saving checkpoint at 77 epochs
2025-06-03 19:49:22,434 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 19:49:22,502 - pyskl - INFO -
top1_acc 0.3894
top5_acc 0.6323
2025-06-03 19:49:22,502 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 19:49:22,510 - pyskl - INFO -
mean_acc 0.3905
2025-06-03 19:49:22,511 - pyskl - INFO - Epoch(val) [77][198] top1_acc: 0.3894, top5_acc: 0.6323, mean_class_accuracy: 0.3905
2025-06-03 19:50:31,421 - pyskl - INFO - Epoch [78][100/523] lr: 4.227e-02, eta: 15:10:46, time: 0.689, data_time: 0.251, memory: 7964, top1_acc: 0.7266, top5_acc: 0.9416, loss_cls: 4.1276, loss: 4.1276
2025-06-03 19:51:15,864 - pyskl - INFO - Epoch [78][200/523] lr: 4.223e-02, eta: 15:09:52, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.7053, top5_acc: 0.9413, loss_cls: 4.2012, loss: 4.2012
2025-06-03 19:51:58,029 - pyskl - INFO - Epoch [78][300/523] lr: 4.220e-02, eta: 15:08:52, time: 0.422, data_time: 0.000, memory: 7964, top1_acc: 0.6950, top5_acc: 0.9316, loss_cls: 4.3055, loss: 4.3055
2025-06-03 19:52:41,969 - pyskl - INFO - Epoch [78][400/523] lr: 4.216e-02, eta: 15:07:57, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.6937, top5_acc: 0.9316, loss_cls: 4.3671, loss: 4.3671
2025-06-03 19:53:26,140 - pyskl - INFO - Epoch [78][500/523] lr: 4.212e-02, eta: 15:07:02, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6937, top5_acc: 0.9306, loss_cls: 4.3637, loss: 4.3637
2025-06-03 19:53:36,966 - pyskl - INFO - Saving checkpoint at 78 epochs
2025-06-03 19:54:05,087 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 19:54:05,153 - pyskl - INFO -
top1_acc 0.3650
top5_acc 0.6088
2025-06-03 19:54:05,154 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 19:54:05,160 - pyskl - INFO -
mean_acc 0.3644
2025-06-03 19:54:05,161 - pyskl - INFO - Epoch(val) [78][198] top1_acc: 0.3650, top5_acc: 0.6088, mean_class_accuracy: 0.3644
2025-06-03 19:55:13,365 - pyskl - INFO - Epoch [79][100/523] lr: 4.208e-02, eta: 15:06:34, time: 0.682, data_time: 0.250, memory: 7964, top1_acc: 0.7087, top5_acc: 0.9472, loss_cls: 4.1767, loss: 4.1767
2025-06-03 19:55:57,852 - pyskl - INFO - Epoch [79][200/523] lr: 4.204e-02, eta: 15:05:41, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.7041, top5_acc: 0.9322, loss_cls: 4.3071, loss: 4.3071
2025-06-03 19:56:40,516 - pyskl - INFO - Epoch [79][300/523] lr: 4.200e-02, eta: 15:04:42, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.6891, top5_acc: 0.9381, loss_cls: 4.3124, loss: 4.3124
2025-06-03 19:57:23,878 - pyskl - INFO - Epoch [79][400/523] lr: 4.197e-02, eta: 15:03:45, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.6869, top5_acc: 0.9325, loss_cls: 4.4060, loss: 4.4060
2025-06-03 19:58:07,334 - pyskl - INFO - Epoch [79][500/523] lr: 4.193e-02, eta: 15:02:49, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.6859, top5_acc: 0.9256, loss_cls: 4.3744, loss: 4.3744
2025-06-03 19:58:18,023 - pyskl - INFO - Saving checkpoint at 79 epochs
2025-06-03 19:58:46,560 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 19:58:46,629 - pyskl - INFO -
top1_acc 0.3994
top5_acc 0.6328
2025-06-03 19:58:46,629 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 19:58:46,636 - pyskl - INFO -
mean_acc 0.4006
2025-06-03 19:58:46,697 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/k_2/best_top1_acc_epoch_72.pth was removed
2025-06-03 19:58:48,357 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_79.pth.
2025-06-03 19:58:48,359 - pyskl - INFO - Best top1_acc is 0.3994 at 79 epoch.
2025-06-03 19:58:48,362 - pyskl - INFO - Epoch(val) [79][198] top1_acc: 0.3994, top5_acc: 0.6328, mean_class_accuracy: 0.4006
2025-06-03 19:59:57,624 - pyskl - INFO - Epoch [80][100/523] lr: 4.189e-02, eta: 15:02:24, time: 0.693, data_time: 0.254, memory: 7964, top1_acc: 0.7131, top5_acc: 0.9350, loss_cls: 4.2895, loss: 4.2895
2025-06-03 20:00:41,189 - pyskl - INFO - Epoch [80][200/523] lr: 4.185e-02, eta: 15:01:27, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.7100, top5_acc: 0.9409, loss_cls: 4.2102, loss: 4.2102
2025-06-03 20:01:25,457 - pyskl - INFO - Epoch [80][300/523] lr: 4.181e-02, eta: 15:00:33, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.7125, top5_acc: 0.9384, loss_cls: 4.2921, loss: 4.2921
2025-06-03 20:02:09,727 - pyskl - INFO - Epoch [80][400/523] lr: 4.177e-02, eta: 14:59:39, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.6934, top5_acc: 0.9281, loss_cls: 4.2590, loss: 4.2590
2025-06-03 20:02:53,986 - pyskl - INFO - Epoch [80][500/523] lr: 4.174e-02, eta: 14:58:45, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.6981, top5_acc: 0.9431, loss_cls: 4.2321, loss: 4.2321
2025-06-03 20:03:04,853 - pyskl - INFO - Saving checkpoint at 80 epochs
2025-06-03 20:03:32,962 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 20:03:33,029 - pyskl - INFO -
top1_acc 0.3661
top5_acc 0.6128
2025-06-03 20:03:33,029 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 20:03:33,036 - pyskl - INFO -
mean_acc 0.3669
2025-06-03 20:03:33,037 - pyskl - INFO - Epoch(val) [80][198] top1_acc: 0.3661, top5_acc: 0.6128, mean_class_accuracy: 0.3669
2025-06-03 20:04:41,904 - pyskl - INFO - Epoch [81][100/523] lr: 4.169e-02, eta: 14:58:18, time: 0.689, data_time: 0.258, memory: 7964, top1_acc: 0.7266, top5_acc: 0.9441, loss_cls: 4.1325, loss: 4.1325
2025-06-03 20:05:25,323 - pyskl - INFO - Epoch [81][200/523] lr: 4.165e-02, eta: 14:57:22, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.7050, top5_acc: 0.9366, loss_cls: 4.2762, loss: 4.2762
2025-06-03 20:06:08,431 - pyskl - INFO - Epoch [81][300/523] lr: 4.162e-02, eta: 14:56:25, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.6950, top5_acc: 0.9397, loss_cls: 4.2725, loss: 4.2725
2025-06-03 20:06:52,393 - pyskl - INFO - Epoch [81][400/523] lr: 4.158e-02, eta: 14:55:30, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.6891, top5_acc: 0.9363, loss_cls: 4.3349, loss: 4.3349
2025-06-03 20:07:36,490 - pyskl - INFO - Epoch [81][500/523] lr: 4.154e-02, eta: 14:54:36, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.6966, top5_acc: 0.9331, loss_cls: 4.2220, loss: 4.2220
2025-06-03 20:07:47,328 - pyskl - INFO - Saving checkpoint at 81 epochs
2025-06-03 20:08:15,307 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 20:08:15,373 - pyskl - INFO -
top1_acc 0.3904
top5_acc 0.6341
2025-06-03 20:08:15,374 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 20:08:15,382 - pyskl - INFO -
mean_acc 0.3894
2025-06-03 20:08:15,383 - pyskl - INFO - Epoch(val) [81][198] top1_acc: 0.3904, top5_acc: 0.6341, mean_class_accuracy: 0.3894
2025-06-03 20:09:23,266 - pyskl - INFO - Epoch [82][100/523] lr: 4.150e-02, eta: 14:54:06, time: 0.679, data_time: 0.255, memory: 7964, top1_acc: 0.7212, top5_acc: 0.9447, loss_cls: 4.1474, loss: 4.1474
2025-06-03 20:10:05,462 - pyskl - INFO - Epoch [82][200/523] lr: 4.146e-02, eta: 14:53:06, time: 0.422, data_time: 0.000, memory: 7964, top1_acc: 0.7175, top5_acc: 0.9469, loss_cls: 4.2083, loss: 4.2083
2025-06-03 20:10:49,338 - pyskl - INFO - Epoch [82][300/523] lr: 4.142e-02, eta: 14:52:11, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.7122, top5_acc: 0.9350, loss_cls: 4.1734, loss: 4.1734
2025-06-03 20:11:33,691 - pyskl - INFO - Epoch [82][400/523] lr: 4.138e-02, eta: 14:51:18, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.6869, top5_acc: 0.9328, loss_cls: 4.3114, loss: 4.3114
2025-06-03 20:12:18,192 - pyskl - INFO - Epoch [82][500/523] lr: 4.134e-02, eta: 14:50:25, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.6941, top5_acc: 0.9341, loss_cls: 4.3057, loss: 4.3057
2025-06-03 20:12:29,064 - pyskl - INFO - Saving checkpoint at 82 epochs
2025-06-03 20:12:57,069 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 20:12:57,138 - pyskl - INFO -
top1_acc 0.3732
top5_acc 0.6146
2025-06-03 20:12:57,138 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 20:12:57,146 - pyskl - INFO -
mean_acc 0.3739
2025-06-03 20:12:57,147 - pyskl - INFO - Epoch(val) [82][198] top1_acc: 0.3732, top5_acc: 0.6146, mean_class_accuracy: 0.3739
2025-06-03 20:14:06,760 - pyskl - INFO - Epoch [83][100/523] lr: 4.130e-02, eta: 14:49:59, time: 0.696, data_time: 0.254, memory: 7964, top1_acc: 0.7219, top5_acc: 0.9447, loss_cls: 4.1638, loss: 4.1638
2025-06-03 20:14:50,523 - pyskl - INFO - Epoch [83][200/523] lr: 4.126e-02, eta: 14:49:04, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.7144, top5_acc: 0.9381, loss_cls: 4.1614, loss: 4.1614
2025-06-03 20:15:32,818 - pyskl - INFO - Epoch [83][300/523] lr: 4.122e-02, eta: 14:48:05, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 0.7028, top5_acc: 0.9434, loss_cls: 4.2645, loss: 4.2645
2025-06-03 20:16:16,980 - pyskl - INFO - Epoch [83][400/523] lr: 4.118e-02, eta: 14:47:11, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6941, top5_acc: 0.9381, loss_cls: 4.2239, loss: 4.2239
2025-06-03 20:17:01,216 - pyskl - INFO - Epoch [83][500/523] lr: 4.115e-02, eta: 14:46:17, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.7013, top5_acc: 0.9319, loss_cls: 4.2664, loss: 4.2664
2025-06-03 20:17:12,028 - pyskl - INFO - Saving checkpoint at 83 epochs
2025-06-03 20:17:40,398 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 20:17:40,464 - pyskl - INFO -
top1_acc 0.3601
top5_acc 0.5886
2025-06-03 20:17:40,464 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 20:17:40,471 - pyskl - INFO -
mean_acc 0.3600
2025-06-03 20:17:40,472 - pyskl - INFO - Epoch(val) [83][198] top1_acc: 0.3601, top5_acc: 0.5886, mean_class_accuracy: 0.3600
2025-06-03 20:18:48,424 - pyskl - INFO - Epoch [84][100/523] lr: 4.110e-02, eta: 14:45:46, time: 0.679, data_time: 0.257, memory: 7964, top1_acc: 0.7294, top5_acc: 0.9431, loss_cls: 4.1833, loss: 4.1833
2025-06-03 20:19:31,806 - pyskl - INFO - Epoch [84][200/523] lr: 4.106e-02, eta: 14:44:51, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.7066, top5_acc: 0.9387, loss_cls: 4.1675, loss: 4.1675
2025-06-03 20:20:14,099 - pyskl - INFO - Epoch [84][300/523] lr: 4.102e-02, eta: 14:43:52, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 0.7097, top5_acc: 0.9422, loss_cls: 4.3136, loss: 4.3136
2025-06-03 20:20:58,008 - pyskl - INFO - Epoch [84][400/523] lr: 4.098e-02, eta: 14:42:57, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.6969, top5_acc: 0.9363, loss_cls: 4.3017, loss: 4.3017
2025-06-03 20:21:41,834 - pyskl - INFO - Epoch [84][500/523] lr: 4.094e-02, eta: 14:42:03, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.6972, top5_acc: 0.9303, loss_cls: 4.3059, loss: 4.3059
2025-06-03 20:21:52,585 - pyskl - INFO - Saving checkpoint at 84 epochs
2025-06-03 20:22:20,552 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 20:22:20,622 - pyskl - INFO -
top1_acc 0.3799
top5_acc 0.6291
2025-06-03 20:22:20,622 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 20:22:20,630 - pyskl - INFO -
mean_acc 0.3797
2025-06-03 20:22:20,631 - pyskl - INFO - Epoch(val) [84][198] top1_acc: 0.3799, top5_acc: 0.6291, mean_class_accuracy: 0.3797
2025-06-03 20:23:30,006 - pyskl - INFO - Epoch [85][100/523] lr: 4.090e-02, eta: 14:41:35, time: 0.694, data_time: 0.255, memory: 7964, top1_acc: 0.7219, top5_acc: 0.9481, loss_cls: 4.0972, loss: 4.0972
2025-06-03 20:24:13,130 - pyskl - INFO - Epoch [85][200/523] lr: 4.086e-02, eta: 14:40:39, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.6975, top5_acc: 0.9337, loss_cls: 4.3489, loss: 4.3489
2025-06-03 20:24:55,725 - pyskl - INFO - Epoch [85][300/523] lr: 4.082e-02, eta: 14:39:41, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.7206, top5_acc: 0.9500, loss_cls: 4.2071, loss: 4.2071
2025-06-03 20:25:39,869 - pyskl - INFO - Epoch [85][400/523] lr: 4.078e-02, eta: 14:38:47, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.6953, top5_acc: 0.9350, loss_cls: 4.3252, loss: 4.3252
2025-06-03 20:26:24,049 - pyskl - INFO - Epoch [85][500/523] lr: 4.074e-02, eta: 14:37:54, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6963, top5_acc: 0.9353, loss_cls: 4.2646, loss: 4.2646
2025-06-03 20:26:34,867 - pyskl - INFO - Saving checkpoint at 85 epochs
2025-06-03 20:27:03,091 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 20:27:03,158 - pyskl - INFO -
top1_acc 0.3788
top5_acc 0.6130
2025-06-03 20:27:03,159 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 20:27:03,165 - pyskl - INFO -
mean_acc 0.3780
2025-06-03 20:27:03,167 - pyskl - INFO - Epoch(val) [85][198] top1_acc: 0.3788, top5_acc: 0.6130, mean_class_accuracy: 0.3780
2025-06-03 20:28:12,971 - pyskl - INFO - Epoch [86][100/523] lr: 4.069e-02, eta: 14:37:27, time: 0.698, data_time: 0.255, memory: 7964, top1_acc: 0.7225, top5_acc: 0.9494, loss_cls: 4.0837, loss: 4.0837
2025-06-03 20:28:56,152 - pyskl - INFO - Epoch [86][200/523] lr: 4.066e-02, eta: 14:36:31, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.7203, top5_acc: 0.9444, loss_cls: 4.2294, loss: 4.2294
2025-06-03 20:29:39,959 - pyskl - INFO - Epoch [86][300/523] lr: 4.062e-02, eta: 14:35:36, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.7037, top5_acc: 0.9428, loss_cls: 4.1962, loss: 4.1962
2025-06-03 20:30:24,091 - pyskl - INFO - Epoch [86][400/523] lr: 4.058e-02, eta: 14:34:43, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7050, top5_acc: 0.9337, loss_cls: 4.2267, loss: 4.2267
2025-06-03 20:31:08,243 - pyskl - INFO - Epoch [86][500/523] lr: 4.054e-02, eta: 14:33:49, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6887, top5_acc: 0.9328, loss_cls: 4.3280, loss: 4.3280
2025-06-03 20:31:19,055 - pyskl - INFO - Saving checkpoint at 86 epochs
2025-06-03 20:31:47,092 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 20:31:47,161 - pyskl - INFO -
top1_acc 0.3794
top5_acc 0.6077
2025-06-03 20:31:47,161 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 20:31:47,169 - pyskl - INFO -
mean_acc 0.3803
2025-06-03 20:31:47,170 - pyskl - INFO - Epoch(val) [86][198] top1_acc: 0.3794, top5_acc: 0.6077, mean_class_accuracy: 0.3803
2025-06-03 20:32:55,004 - pyskl - INFO - Epoch [87][100/523] lr: 4.049e-02, eta: 14:33:17, time: 0.678, data_time: 0.254, memory: 7964, top1_acc: 0.7328, top5_acc: 0.9491, loss_cls: 4.0286, loss: 4.0286
2025-06-03 20:33:38,932 - pyskl - INFO - Epoch [87][200/523] lr: 4.045e-02, eta: 14:32:23, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.7275, top5_acc: 0.9475, loss_cls: 4.2179, loss: 4.2179
2025-06-03 20:34:22,490 - pyskl - INFO - Epoch [87][300/523] lr: 4.041e-02, eta: 14:31:28, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.6947, top5_acc: 0.9375, loss_cls: 4.1426, loss: 4.1426
2025-06-03 20:35:06,547 - pyskl - INFO - Epoch [87][400/523] lr: 4.037e-02, eta: 14:30:34, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7116, top5_acc: 0.9359, loss_cls: 4.1425, loss: 4.1425
2025-06-03 20:35:50,540 - pyskl - INFO - Epoch [87][500/523] lr: 4.033e-02, eta: 14:29:40, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.7006, top5_acc: 0.9337, loss_cls: 4.2421, loss: 4.2421
2025-06-03 20:36:01,383 - pyskl - INFO - Saving checkpoint at 87 epochs
2025-06-03 20:36:29,340 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 20:36:29,410 - pyskl - INFO -
top1_acc 0.3899
top5_acc 0.6361
2025-06-03 20:36:29,410 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 20:36:29,418 - pyskl - INFO -
mean_acc 0.3904
2025-06-03 20:36:29,419 - pyskl - INFO - Epoch(val) [87][198] top1_acc: 0.3899, top5_acc: 0.6361, mean_class_accuracy: 0.3904
2025-06-03 20:37:38,715 - pyskl - INFO - Epoch [88][100/523] lr: 4.028e-02, eta: 14:29:11, time: 0.693, data_time: 0.254, memory: 7964, top1_acc: 0.7325, top5_acc: 0.9537, loss_cls: 4.1552, loss: 4.1552
2025-06-03 20:38:23,055 - pyskl - INFO - Epoch [88][200/523] lr: 4.024e-02, eta: 14:28:18, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.7131, top5_acc: 0.9381, loss_cls: 4.2520, loss: 4.2520
2025-06-03 20:39:07,019 - pyskl - INFO - Epoch [88][300/523] lr: 4.020e-02, eta: 14:27:24, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.7181, top5_acc: 0.9450, loss_cls: 4.1459, loss: 4.1459
2025-06-03 20:39:50,844 - pyskl - INFO - Epoch [88][400/523] lr: 4.016e-02, eta: 14:26:30, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.7000, top5_acc: 0.9378, loss_cls: 4.2450, loss: 4.2450
2025-06-03 20:40:34,751 - pyskl - INFO - Epoch [88][500/523] lr: 4.012e-02, eta: 14:25:36, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.7134, top5_acc: 0.9366, loss_cls: 4.1086, loss: 4.1086
2025-06-03 20:40:45,415 - pyskl - INFO - Saving checkpoint at 88 epochs
2025-06-03 20:41:13,678 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 20:41:13,743 - pyskl - INFO -
top1_acc 0.3804
top5_acc 0.6158
2025-06-03 20:41:13,744 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 20:41:13,750 - pyskl - INFO -
mean_acc 0.3811
2025-06-03 20:41:13,751 - pyskl - INFO - Epoch(val) [88][198] top1_acc: 0.3804, top5_acc: 0.6158, mean_class_accuracy: 0.3811
2025-06-03 20:42:22,302 - pyskl - INFO - Epoch [89][100/523] lr: 4.008e-02, eta: 14:25:05, time: 0.685, data_time: 0.251, memory: 7964, top1_acc: 0.7238, top5_acc: 0.9537, loss_cls: 4.1807, loss: 4.1807
2025-06-03 20:43:06,192 - pyskl - INFO - Epoch [89][200/523] lr: 4.004e-02, eta: 14:24:11, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.7294, top5_acc: 0.9469, loss_cls: 4.1601, loss: 4.1601
2025-06-03 20:43:49,450 - pyskl - INFO - Epoch [89][300/523] lr: 4.000e-02, eta: 14:23:16, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.7191, top5_acc: 0.9456, loss_cls: 4.2005, loss: 4.2005
2025-06-03 20:44:33,576 - pyskl - INFO - Epoch [89][400/523] lr: 3.996e-02, eta: 14:22:22, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7056, top5_acc: 0.9359, loss_cls: 4.2288, loss: 4.2288
2025-06-03 20:45:17,791 - pyskl - INFO - Epoch [89][500/523] lr: 3.992e-02, eta: 14:21:29, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6969, top5_acc: 0.9359, loss_cls: 4.1829, loss: 4.1829
2025-06-03 20:45:28,663 - pyskl - INFO - Saving checkpoint at 89 epochs
2025-06-03 20:45:56,940 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 20:45:57,007 - pyskl - INFO -
top1_acc 0.3840
top5_acc 0.6258
2025-06-03 20:45:57,007 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 20:45:57,013 - pyskl - INFO -
mean_acc 0.3845
2025-06-03 20:45:57,015 - pyskl - INFO - Epoch(val) [89][198] top1_acc: 0.3840, top5_acc: 0.6258, mean_class_accuracy: 0.3845
2025-06-03 20:47:06,865 - pyskl - INFO - Epoch [90][100/523] lr: 3.987e-02, eta: 14:21:01, time: 0.698, data_time: 0.254, memory: 7964, top1_acc: 0.7322, top5_acc: 0.9522, loss_cls: 4.0756, loss: 4.0756
2025-06-03 20:47:51,199 - pyskl - INFO - Epoch [90][200/523] lr: 3.983e-02, eta: 14:20:08, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.7203, top5_acc: 0.9428, loss_cls: 4.1097, loss: 4.1097
2025-06-03 20:48:35,351 - pyskl - INFO - Epoch [90][300/523] lr: 3.979e-02, eta: 14:19:15, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7175, top5_acc: 0.9416, loss_cls: 4.2067, loss: 4.2067
2025-06-03 20:49:19,585 - pyskl - INFO - Epoch [90][400/523] lr: 3.974e-02, eta: 14:18:22, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.7053, top5_acc: 0.9434, loss_cls: 4.2206, loss: 4.2206
2025-06-03 20:50:03,827 - pyskl - INFO - Epoch [90][500/523] lr: 3.970e-02, eta: 14:17:29, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.7184, top5_acc: 0.9384, loss_cls: 4.2198, loss: 4.2198
2025-06-03 20:50:14,658 - pyskl - INFO - Saving checkpoint at 90 epochs
2025-06-03 20:50:43,058 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 20:50:43,124 - pyskl - INFO -
top1_acc 0.3961
top5_acc 0.6303
2025-06-03 20:50:43,125 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 20:50:43,131 - pyskl - INFO -
mean_acc 0.3949
2025-06-03 20:50:43,132 - pyskl - INFO - Epoch(val) [90][198] top1_acc: 0.3961, top5_acc: 0.6303, mean_class_accuracy: 0.3949
2025-06-03 20:51:51,994 - pyskl - INFO - Epoch [91][100/523] lr: 3.965e-02, eta: 14:16:57, time: 0.689, data_time: 0.258, memory: 7964, top1_acc: 0.7231, top5_acc: 0.9453, loss_cls: 4.0722, loss: 4.0722
2025-06-03 20:52:35,163 - pyskl - INFO - Epoch [91][200/523] lr: 3.961e-02, eta: 14:16:02, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.7281, top5_acc: 0.9444, loss_cls: 4.1356, loss: 4.1356
2025-06-03 20:53:19,121 - pyskl - INFO - Epoch [91][300/523] lr: 3.957e-02, eta: 14:15:08, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.7109, top5_acc: 0.9459, loss_cls: 4.2241, loss: 4.2241
2025-06-03 20:54:03,318 - pyskl - INFO - Epoch [91][400/523] lr: 3.953e-02, eta: 14:14:15, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.7075, top5_acc: 0.9400, loss_cls: 4.3015, loss: 4.3015
2025-06-03 20:54:47,583 - pyskl - INFO - Epoch [91][500/523] lr: 3.949e-02, eta: 14:13:23, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.7003, top5_acc: 0.9363, loss_cls: 4.2724, loss: 4.2724
2025-06-03 20:54:58,428 - pyskl - INFO - Saving checkpoint at 91 epochs
2025-06-03 20:55:26,611 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 20:55:26,679 - pyskl - INFO -
top1_acc 0.3826
top5_acc 0.6253
2025-06-03 20:55:26,680 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 20:55:26,686 - pyskl - INFO -
mean_acc 0.3833
2025-06-03 20:55:26,688 - pyskl - INFO - Epoch(val) [91][198] top1_acc: 0.3826, top5_acc: 0.6253, mean_class_accuracy: 0.3833
2025-06-03 20:56:36,210 - pyskl - INFO - Epoch [92][100/523] lr: 3.944e-02, eta: 14:12:52, time: 0.695, data_time: 0.254, memory: 7964, top1_acc: 0.7500, top5_acc: 0.9497, loss_cls: 3.9522, loss: 3.9522
2025-06-03 20:57:20,219 - pyskl - INFO - Epoch [92][200/523] lr: 3.940e-02, eta: 14:11:59, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.7375, top5_acc: 0.9503, loss_cls: 4.0071, loss: 4.0071
2025-06-03 20:58:04,121 - pyskl - INFO - Epoch [92][300/523] lr: 3.936e-02, eta: 14:11:05, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.7284, top5_acc: 0.9419, loss_cls: 4.1496, loss: 4.1496
2025-06-03 20:58:48,177 - pyskl - INFO - Epoch [92][400/523] lr: 3.932e-02, eta: 14:10:12, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7156, top5_acc: 0.9394, loss_cls: 4.1799, loss: 4.1799
2025-06-03 20:59:32,554 - pyskl - INFO - Epoch [92][500/523] lr: 3.928e-02, eta: 14:09:20, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.6925, top5_acc: 0.9297, loss_cls: 4.2365, loss: 4.2365
2025-06-03 20:59:43,344 - pyskl - INFO - Saving checkpoint at 92 epochs
2025-06-03 21:00:11,613 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 21:00:11,683 - pyskl - INFO -
top1_acc 0.3837
top5_acc 0.6288
2025-06-03 21:00:11,684 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 21:00:11,693 - pyskl - INFO -
mean_acc 0.3849
2025-06-03 21:00:11,695 - pyskl - INFO - Epoch(val) [92][198] top1_acc: 0.3837, top5_acc: 0.6288, mean_class_accuracy: 0.3849
2025-06-03 21:01:22,462 - pyskl - INFO - Epoch [93][100/523] lr: 3.923e-02, eta: 14:08:52, time: 0.708, data_time: 0.262, memory: 7964, top1_acc: 0.7378, top5_acc: 0.9478, loss_cls: 4.1114, loss: 4.1114
2025-06-03 21:02:06,276 - pyskl - INFO - Epoch [93][200/523] lr: 3.919e-02, eta: 14:07:58, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.7288, top5_acc: 0.9453, loss_cls: 4.0577, loss: 4.0577
2025-06-03 21:02:50,458 - pyskl - INFO - Epoch [93][300/523] lr: 3.914e-02, eta: 14:07:05, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.7194, top5_acc: 0.9469, loss_cls: 4.1566, loss: 4.1566
2025-06-03 21:03:34,414 - pyskl - INFO - Epoch [93][400/523] lr: 3.910e-02, eta: 14:06:12, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.7153, top5_acc: 0.9409, loss_cls: 4.0911, loss: 4.0911
2025-06-03 21:04:18,376 - pyskl - INFO - Epoch [93][500/523] lr: 3.906e-02, eta: 14:05:19, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.6934, top5_acc: 0.9400, loss_cls: 4.2904, loss: 4.2904
2025-06-03 21:04:29,230 - pyskl - INFO - Saving checkpoint at 93 epochs
2025-06-03 21:04:57,464 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 21:04:57,530 - pyskl - INFO -
top1_acc 0.3564
top5_acc 0.6088
2025-06-03 21:04:57,530 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 21:04:57,537 - pyskl - INFO -
mean_acc 0.3579
2025-06-03 21:04:57,538 - pyskl - INFO - Epoch(val) [93][198] top1_acc: 0.3564, top5_acc: 0.6088, mean_class_accuracy: 0.3579
2025-06-03 21:06:05,622 - pyskl - INFO - Epoch [94][100/523] lr: 3.901e-02, eta: 14:04:44, time: 0.681, data_time: 0.258, memory: 7964, top1_acc: 0.7447, top5_acc: 0.9528, loss_cls: 3.9684, loss: 3.9684
2025-06-03 21:06:48,930 - pyskl - INFO - Epoch [94][200/523] lr: 3.897e-02, eta: 14:03:50, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.7178, top5_acc: 0.9434, loss_cls: 4.0971, loss: 4.0971
2025-06-03 21:07:33,264 - pyskl - INFO - Epoch [94][300/523] lr: 3.893e-02, eta: 14:02:57, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.7284, top5_acc: 0.9434, loss_cls: 4.0939, loss: 4.0939
2025-06-03 21:08:17,502 - pyskl - INFO - Epoch [94][400/523] lr: 3.889e-02, eta: 14:02:05, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.7141, top5_acc: 0.9431, loss_cls: 4.1655, loss: 4.1655
2025-06-03 21:09:01,624 - pyskl - INFO - Epoch [94][500/523] lr: 3.884e-02, eta: 14:01:12, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7116, top5_acc: 0.9369, loss_cls: 4.1870, loss: 4.1870
2025-06-03 21:09:12,483 - pyskl - INFO - Saving checkpoint at 94 epochs
2025-06-03 21:09:40,598 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 21:09:40,663 - pyskl - INFO -
top1_acc 0.3807
top5_acc 0.6253
2025-06-03 21:09:40,664 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 21:09:40,671 - pyskl - INFO -
mean_acc 0.3817
2025-06-03 21:09:40,672 - pyskl - INFO - Epoch(val) [94][198] top1_acc: 0.3807, top5_acc: 0.6253, mean_class_accuracy: 0.3817
2025-06-03 21:10:50,447 - pyskl - INFO - Epoch [95][100/523] lr: 3.879e-02, eta: 14:00:41, time: 0.698, data_time: 0.256, memory: 7964, top1_acc: 0.7378, top5_acc: 0.9550, loss_cls: 4.0161, loss: 4.0161
2025-06-03 21:11:32,625 - pyskl - INFO - Epoch [95][200/523] lr: 3.875e-02, eta: 13:59:44, time: 0.422, data_time: 0.000, memory: 7964, top1_acc: 0.7444, top5_acc: 0.9544, loss_cls: 4.0000, loss: 4.0000
2025-06-03 21:12:15,479 - pyskl - INFO - Epoch [95][300/523] lr: 3.871e-02, eta: 13:58:48, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.7347, top5_acc: 0.9528, loss_cls: 4.0622, loss: 4.0622
2025-06-03 21:12:59,880 - pyskl - INFO - Epoch [95][400/523] lr: 3.867e-02, eta: 13:57:56, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.7250, top5_acc: 0.9437, loss_cls: 4.1147, loss: 4.1147
2025-06-03 21:13:44,208 - pyskl - INFO - Epoch [95][500/523] lr: 3.863e-02, eta: 13:57:04, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.7137, top5_acc: 0.9459, loss_cls: 4.1760, loss: 4.1760
2025-06-03 21:13:55,071 - pyskl - INFO - Saving checkpoint at 95 epochs
2025-06-03 21:14:23,539 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 21:14:23,615 - pyskl - INFO -
top1_acc 0.3945
top5_acc 0.6274
2025-06-03 21:14:23,615 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 21:14:23,624 - pyskl - INFO -
mean_acc 0.3949
2025-06-03 21:14:23,626 - pyskl - INFO - Epoch(val) [95][198] top1_acc: 0.3945, top5_acc: 0.6274, mean_class_accuracy: 0.3949
2025-06-03 21:15:33,924 - pyskl - INFO - Epoch [96][100/523] lr: 3.857e-02, eta: 13:56:33, time: 0.703, data_time: 0.261, memory: 7964, top1_acc: 0.7325, top5_acc: 0.9606, loss_cls: 3.9840, loss: 3.9840
2025-06-03 21:16:17,920 - pyskl - INFO - Epoch [96][200/523] lr: 3.853e-02, eta: 13:55:40, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.7300, top5_acc: 0.9447, loss_cls: 4.0642, loss: 4.0642
2025-06-03 21:17:02,446 - pyskl - INFO - Epoch [96][300/523] lr: 3.849e-02, eta: 13:54:49, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.7128, top5_acc: 0.9422, loss_cls: 4.2036, loss: 4.2036
2025-06-03 21:17:46,780 - pyskl - INFO - Epoch [96][400/523] lr: 3.845e-02, eta: 13:53:56, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.7119, top5_acc: 0.9487, loss_cls: 4.1871, loss: 4.1871
2025-06-03 21:18:30,964 - pyskl - INFO - Epoch [96][500/523] lr: 3.841e-02, eta: 13:53:04, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.7072, top5_acc: 0.9413, loss_cls: 4.1785, loss: 4.1785
2025-06-03 21:18:41,790 - pyskl - INFO - Saving checkpoint at 96 epochs
2025-06-03 21:19:09,915 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 21:19:09,984 - pyskl - INFO -
top1_acc 0.3845
top5_acc 0.6276
2025-06-03 21:19:09,984 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 21:19:09,992 - pyskl - INFO -
mean_acc 0.3845
2025-06-03 21:19:09,993 - pyskl - INFO - Epoch(val) [96][198] top1_acc: 0.3845, top5_acc: 0.6276, mean_class_accuracy: 0.3845
2025-06-03 21:20:20,273 - pyskl - INFO - Epoch [97][100/523] lr: 3.835e-02, eta: 13:52:33, time: 0.703, data_time: 0.257, memory: 7964, top1_acc: 0.7456, top5_acc: 0.9559, loss_cls: 3.9818, loss: 3.9818
2025-06-03 21:21:04,523 - pyskl - INFO - Epoch [97][200/523] lr: 3.831e-02, eta: 13:51:41, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.7344, top5_acc: 0.9459, loss_cls: 4.0562, loss: 4.0562
2025-06-03 21:21:48,745 - pyskl - INFO - Epoch [97][300/523] lr: 3.827e-02, eta: 13:50:48, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.7150, top5_acc: 0.9469, loss_cls: 4.1201, loss: 4.1201
2025-06-03 21:22:32,892 - pyskl - INFO - Epoch [97][400/523] lr: 3.823e-02, eta: 13:49:56, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7106, top5_acc: 0.9441, loss_cls: 4.1342, loss: 4.1342
2025-06-03 21:23:17,155 - pyskl - INFO - Epoch [97][500/523] lr: 3.818e-02, eta: 13:49:03, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.7125, top5_acc: 0.9409, loss_cls: 4.1601, loss: 4.1601
2025-06-03 21:23:27,851 - pyskl - INFO - Saving checkpoint at 97 epochs
2025-06-03 21:23:56,116 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 21:23:56,185 - pyskl - INFO -
top1_acc 0.3913
top5_acc 0.6341
2025-06-03 21:23:56,186 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 21:23:56,193 - pyskl - INFO -
mean_acc 0.3919
2025-06-03 21:23:56,195 - pyskl - INFO - Epoch(val) [97][198] top1_acc: 0.3913, top5_acc: 0.6341, mean_class_accuracy: 0.3919
2025-06-03 21:25:04,825 - pyskl - INFO - Epoch [98][100/523] lr: 3.813e-02, eta: 13:48:29, time: 0.686, data_time: 0.259, memory: 7964, top1_acc: 0.7478, top5_acc: 0.9522, loss_cls: 3.9557, loss: 3.9557
2025-06-03 21:25:48,473 - pyskl - INFO - Epoch [98][200/523] lr: 3.809e-02, eta: 13:47:35, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.7331, top5_acc: 0.9550, loss_cls: 4.0264, loss: 4.0264
2025-06-03 21:26:32,143 - pyskl - INFO - Epoch [98][300/523] lr: 3.805e-02, eta: 13:46:42, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.7309, top5_acc: 0.9509, loss_cls: 4.0418, loss: 4.0418
2025-06-03 21:27:16,357 - pyskl - INFO - Epoch [98][400/523] lr: 3.800e-02, eta: 13:45:49, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.7175, top5_acc: 0.9413, loss_cls: 4.2217, loss: 4.2217
2025-06-03 21:28:00,449 - pyskl - INFO - Epoch [98][500/523] lr: 3.796e-02, eta: 13:44:57, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7203, top5_acc: 0.9419, loss_cls: 4.1540, loss: 4.1540
2025-06-03 21:28:11,247 - pyskl - INFO - Saving checkpoint at 98 epochs
2025-06-03 21:28:39,297 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 21:28:39,365 - pyskl - INFO -
top1_acc 0.3827
top5_acc 0.6177
2025-06-03 21:28:39,365 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 21:28:39,373 - pyskl - INFO -
mean_acc 0.3838
2025-06-03 21:28:39,375 - pyskl - INFO - Epoch(val) [98][198] top1_acc: 0.3827, top5_acc: 0.6177, mean_class_accuracy: 0.3838
2025-06-03 21:29:46,700 - pyskl - INFO - Epoch [99][100/523] lr: 3.791e-02, eta: 13:44:19, time: 0.673, data_time: 0.253, memory: 7964, top1_acc: 0.7497, top5_acc: 0.9600, loss_cls: 4.0077, loss: 4.0077
2025-06-03 21:30:28,852 - pyskl - INFO - Epoch [99][200/523] lr: 3.787e-02, eta: 13:43:23, time: 0.422, data_time: 0.000, memory: 7964, top1_acc: 0.7403, top5_acc: 0.9534, loss_cls: 3.9634, loss: 3.9634
2025-06-03 21:31:12,651 - pyskl - INFO - Epoch [99][300/523] lr: 3.782e-02, eta: 13:42:30, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.7266, top5_acc: 0.9475, loss_cls: 4.1700, loss: 4.1700
2025-06-03 21:31:56,305 - pyskl - INFO - Epoch [99][400/523] lr: 3.778e-02, eta: 13:41:36, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.7266, top5_acc: 0.9459, loss_cls: 4.1014, loss: 4.1014
2025-06-03 21:32:40,092 - pyskl - INFO - Epoch [99][500/523] lr: 3.774e-02, eta: 13:40:43, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.7284, top5_acc: 0.9472, loss_cls: 4.0623, loss: 4.0623
2025-06-03 21:32:50,821 - pyskl - INFO - Saving checkpoint at 99 epochs
2025-06-03 21:33:18,778 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 21:33:18,843 - pyskl - INFO -
top1_acc 0.3910
top5_acc 0.6214
2025-06-03 21:33:18,843 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 21:33:18,850 - pyskl - INFO -
mean_acc 0.3913
2025-06-03 21:33:18,851 - pyskl - INFO - Epoch(val) [99][198] top1_acc: 0.3910, top5_acc: 0.6214, mean_class_accuracy: 0.3913
2025-06-03 21:34:27,871 - pyskl - INFO - Epoch [100][100/523] lr: 3.768e-02, eta: 13:40:09, time: 0.690, data_time: 0.255, memory: 7964, top1_acc: 0.7497, top5_acc: 0.9544, loss_cls: 3.9983, loss: 3.9983
2025-06-03 21:35:09,490 - pyskl - INFO - Epoch [100][200/523] lr: 3.764e-02, eta: 13:39:11, time: 0.416, data_time: 0.000, memory: 7964, top1_acc: 0.7412, top5_acc: 0.9491, loss_cls: 3.8866, loss: 3.8866
2025-06-03 21:35:50,746 - pyskl - INFO - Epoch [100][300/523] lr: 3.760e-02, eta: 13:38:13, time: 0.413, data_time: 0.000, memory: 7964, top1_acc: 0.7209, top5_acc: 0.9516, loss_cls: 4.0839, loss: 4.0839
2025-06-03 21:36:32,029 - pyskl - INFO - Epoch [100][400/523] lr: 3.755e-02, eta: 13:37:15, time: 0.413, data_time: 0.000, memory: 7964, top1_acc: 0.7225, top5_acc: 0.9450, loss_cls: 4.1124, loss: 4.1124
2025-06-03 21:37:13,290 - pyskl - INFO - Epoch [100][500/523] lr: 3.751e-02, eta: 13:36:17, time: 0.413, data_time: 0.000, memory: 7964, top1_acc: 0.7244, top5_acc: 0.9544, loss_cls: 4.0304, loss: 4.0304
2025-06-03 21:37:23,442 - pyskl - INFO - Saving checkpoint at 100 epochs
2025-06-03 21:56:16,455 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 21:56:16,521 - pyskl - INFO -
top1_acc 0.3821
top5_acc 0.6161
2025-06-03 21:56:16,521 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 21:56:16,527 - pyskl - INFO -
mean_acc 0.3839
2025-06-03 21:56:16,528 - pyskl - INFO - Epoch(val) [100][198] top1_acc: 0.3821, top5_acc: 0.6161, mean_class_accuracy: 0.3839
2025-06-03 21:57:26,273 - pyskl - INFO - Epoch [101][100/523] lr: 3.746e-02, eta: 13:35:44, time: 0.697, data_time: 0.254, memory: 7964, top1_acc: 0.7506, top5_acc: 0.9587, loss_cls: 3.9308, loss: 3.9308
2025-06-03 21:58:10,607 - pyskl - INFO - Epoch [101][200/523] lr: 3.741e-02, eta: 13:34:52, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.7516, top5_acc: 0.9569, loss_cls: 4.0122, loss: 4.0122
2025-06-03 21:58:54,111 - pyskl - INFO - Epoch [101][300/523] lr: 3.737e-02, eta: 13:33:59, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.7322, top5_acc: 0.9531, loss_cls: 4.0707, loss: 4.0707
2025-06-03 21:59:37,928 - pyskl - INFO - Epoch [101][400/523] lr: 3.733e-02, eta: 13:33:06, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.7209, top5_acc: 0.9409, loss_cls: 4.1067, loss: 4.1067
2025-06-03 22:00:21,938 - pyskl - INFO - Epoch [101][500/523] lr: 3.728e-02, eta: 13:32:14, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.7125, top5_acc: 0.9413, loss_cls: 4.2038, loss: 4.2038
2025-06-03 22:00:32,737 - pyskl - INFO - Saving checkpoint at 101 epochs
2025-06-03 22:01:00,956 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 22:01:01,023 - pyskl - INFO -
top1_acc 0.3978
top5_acc 0.6274
2025-06-03 22:01:01,023 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 22:01:01,030 - pyskl - INFO -
mean_acc 0.3973
2025-06-03 22:01:01,031 - pyskl - INFO - Epoch(val) [101][198] top1_acc: 0.3978, top5_acc: 0.6274, mean_class_accuracy: 0.3973
2025-06-03 22:02:10,591 - pyskl - INFO - Epoch [102][100/523] lr: 3.723e-02, eta: 13:31:39, time: 0.696, data_time: 0.254, memory: 7964, top1_acc: 0.7447, top5_acc: 0.9603, loss_cls: 4.0079, loss: 4.0079
2025-06-03 22:02:55,197 - pyskl - INFO - Epoch [102][200/523] lr: 3.719e-02, eta: 13:30:48, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.7434, top5_acc: 0.9537, loss_cls: 3.9880, loss: 3.9880
2025-06-03 22:03:39,656 - pyskl - INFO - Epoch [102][300/523] lr: 3.714e-02, eta: 13:29:57, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.7247, top5_acc: 0.9503, loss_cls: 4.0925, loss: 4.0925
2025-06-03 22:04:22,788 - pyskl - INFO - Epoch [102][400/523] lr: 3.710e-02, eta: 13:29:03, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.7409, top5_acc: 0.9487, loss_cls: 4.0685, loss: 4.0685
2025-06-03 22:05:06,365 - pyskl - INFO - Epoch [102][500/523] lr: 3.705e-02, eta: 13:28:10, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.7275, top5_acc: 0.9481, loss_cls: 4.0624, loss: 4.0624
2025-06-03 22:05:17,212 - pyskl - INFO - Saving checkpoint at 102 epochs
2025-06-03 22:05:45,495 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 22:05:45,563 - pyskl - INFO -
top1_acc 0.4003
top5_acc 0.6356
2025-06-03 22:05:45,563 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 22:05:45,571 - pyskl - INFO -
mean_acc 0.3995
2025-06-03 22:05:45,632 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/k_2/best_top1_acc_epoch_79.pth was removed
2025-06-03 22:05:47,113 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_102.pth.
2025-06-03 22:05:47,114 - pyskl - INFO - Best top1_acc is 0.4003 at 102 epoch.
2025-06-03 22:05:47,116 - pyskl - INFO - Epoch(val) [102][198] top1_acc: 0.4003, top5_acc: 0.6356, mean_class_accuracy: 0.3995
2025-06-03 22:06:56,175 - pyskl - INFO - Epoch [103][100/523] lr: 3.700e-02, eta: 13:27:34, time: 0.691, data_time: 0.253, memory: 7964, top1_acc: 0.7703, top5_acc: 0.9603, loss_cls: 3.9282, loss: 3.9282
2025-06-03 22:07:40,738 - pyskl - INFO - Epoch [103][200/523] lr: 3.696e-02, eta: 13:26:43, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.7500, top5_acc: 0.9503, loss_cls: 3.9574, loss: 3.9574
2025-06-03 22:08:25,027 - pyskl - INFO - Epoch [103][300/523] lr: 3.691e-02, eta: 13:25:51, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.7450, top5_acc: 0.9497, loss_cls: 3.9716, loss: 3.9716
2025-06-03 22:09:08,894 - pyskl - INFO - Epoch [103][400/523] lr: 3.687e-02, eta: 13:24:59, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.7275, top5_acc: 0.9472, loss_cls: 4.0853, loss: 4.0853
2025-06-03 22:09:52,743 - pyskl - INFO - Epoch [103][500/523] lr: 3.682e-02, eta: 13:24:06, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.7253, top5_acc: 0.9491, loss_cls: 4.1776, loss: 4.1776
2025-06-03 22:10:03,599 - pyskl - INFO - Saving checkpoint at 103 epochs
2025-06-03 22:10:31,845 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 22:10:31,913 - pyskl - INFO -
top1_acc 0.3893
top5_acc 0.6206
2025-06-03 22:10:31,913 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 22:10:31,920 - pyskl - INFO -
mean_acc 0.3895
2025-06-03 22:10:31,922 - pyskl - INFO - Epoch(val) [103][198] top1_acc: 0.3893, top5_acc: 0.6206, mean_class_accuracy: 0.3895
2025-06-03 22:11:39,878 - pyskl - INFO - Epoch [104][100/523] lr: 3.677e-02, eta: 13:23:28, time: 0.680, data_time: 0.254, memory: 7964, top1_acc: 0.7547, top5_acc: 0.9634, loss_cls: 3.8804, loss: 3.8804
2025-06-03 22:12:23,986 - pyskl - INFO - Epoch [104][200/523] lr: 3.673e-02, eta: 13:22:36, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7494, top5_acc: 0.9513, loss_cls: 4.0251, loss: 4.0251
2025-06-03 22:13:08,079 - pyskl - INFO - Epoch [104][300/523] lr: 3.668e-02, eta: 13:21:44, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7334, top5_acc: 0.9506, loss_cls: 4.0741, loss: 4.0741
2025-06-03 22:13:52,004 - pyskl - INFO - Epoch [104][400/523] lr: 3.664e-02, eta: 13:20:52, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.7234, top5_acc: 0.9425, loss_cls: 4.1784, loss: 4.1784
2025-06-03 22:14:36,194 - pyskl - INFO - Epoch [104][500/523] lr: 3.659e-02, eta: 13:20:00, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.7259, top5_acc: 0.9463, loss_cls: 4.1997, loss: 4.1997
2025-06-03 22:14:47,072 - pyskl - INFO - Saving checkpoint at 104 epochs
2025-06-03 22:15:15,333 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 22:15:15,403 - pyskl - INFO -
top1_acc 0.4076
top5_acc 0.6429
2025-06-03 22:15:15,403 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 22:15:15,411 - pyskl - INFO -
mean_acc 0.4072
2025-06-03 22:15:15,472 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/k_2/best_top1_acc_epoch_102.pth was removed
2025-06-03 22:15:17,000 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_104.pth.
2025-06-03 22:15:17,002 - pyskl - INFO - Best top1_acc is 0.4076 at 104 epoch.
2025-06-03 22:15:17,004 - pyskl - INFO - Epoch(val) [104][198] top1_acc: 0.4076, top5_acc: 0.6429, mean_class_accuracy: 0.4072
2025-06-03 22:16:26,655 - pyskl - INFO - Epoch [105][100/523] lr: 3.654e-02, eta: 13:19:25, time: 0.696, data_time: 0.254, memory: 7964, top1_acc: 0.7478, top5_acc: 0.9578, loss_cls: 3.9768, loss: 3.9768
2025-06-03 22:17:11,159 - pyskl - INFO - Epoch [105][200/523] lr: 3.649e-02, eta: 13:18:34, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.7559, top5_acc: 0.9606, loss_cls: 3.9688, loss: 3.9688
2025-06-03 22:17:55,048 - pyskl - INFO - Epoch [105][300/523] lr: 3.645e-02, eta: 13:17:42, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.7400, top5_acc: 0.9469, loss_cls: 4.0081, loss: 4.0081
2025-06-03 22:18:38,803 - pyskl - INFO - Epoch [105][400/523] lr: 3.641e-02, eta: 13:16:49, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.7306, top5_acc: 0.9484, loss_cls: 4.0671, loss: 4.0671
2025-06-03 22:19:22,807 - pyskl - INFO - Epoch [105][500/523] lr: 3.636e-02, eta: 13:15:57, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.7131, top5_acc: 0.9481, loss_cls: 4.1411, loss: 4.1411
2025-06-03 22:19:33,648 - pyskl - INFO - Saving checkpoint at 105 epochs
2025-06-03 22:20:01,723 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 22:20:01,791 - pyskl - INFO -
top1_acc 0.3758
top5_acc 0.6190
2025-06-03 22:20:01,791 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 22:20:01,799 - pyskl - INFO -
mean_acc 0.3734
2025-06-03 22:20:01,800 - pyskl - INFO - Epoch(val) [105][198] top1_acc: 0.3758, top5_acc: 0.6190, mean_class_accuracy: 0.3734
2025-06-03 22:21:10,924 - pyskl - INFO - Epoch [106][100/523] lr: 3.631e-02, eta: 13:15:21, time: 0.691, data_time: 0.255, memory: 7964, top1_acc: 0.7553, top5_acc: 0.9541, loss_cls: 3.8806, loss: 3.8806
2025-06-03 22:21:54,946 - pyskl - INFO - Epoch [106][200/523] lr: 3.626e-02, eta: 13:14:29, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.7369, top5_acc: 0.9609, loss_cls: 3.9842, loss: 3.9842
2025-06-03 22:22:39,288 - pyskl - INFO - Epoch [106][300/523] lr: 3.622e-02, eta: 13:13:38, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.7491, top5_acc: 0.9522, loss_cls: 4.0580, loss: 4.0580
2025-06-03 22:23:21,934 - pyskl - INFO - Epoch [106][400/523] lr: 3.617e-02, eta: 13:12:43, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.7253, top5_acc: 0.9428, loss_cls: 4.1161, loss: 4.1161
2025-06-03 22:24:05,974 - pyskl - INFO - Epoch [106][500/523] lr: 3.613e-02, eta: 13:11:51, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.7275, top5_acc: 0.9484, loss_cls: 4.0616, loss: 4.0616
2025-06-03 22:24:16,774 - pyskl - INFO - Saving checkpoint at 106 epochs
2025-06-03 22:24:45,133 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 22:24:45,199 - pyskl - INFO -
top1_acc 0.3878
top5_acc 0.6241
2025-06-03 22:24:45,200 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 22:24:45,206 - pyskl - INFO -
mean_acc 0.3880
2025-06-03 22:24:45,208 - pyskl - INFO - Epoch(val) [106][198] top1_acc: 0.3878, top5_acc: 0.6241, mean_class_accuracy: 0.3880
2025-06-03 22:25:55,278 - pyskl - INFO - Epoch [107][100/523] lr: 3.607e-02, eta: 13:11:16, time: 0.701, data_time: 0.255, memory: 7964, top1_acc: 0.7647, top5_acc: 0.9637, loss_cls: 3.8853, loss: 3.8853
2025-06-03 22:26:39,279 - pyskl - INFO - Epoch [107][200/523] lr: 3.603e-02, eta: 13:10:24, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.7425, top5_acc: 0.9547, loss_cls: 3.9758, loss: 3.9758
2025-06-03 22:27:23,177 - pyskl - INFO - Epoch [107][300/523] lr: 3.598e-02, eta: 13:09:32, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.7550, top5_acc: 0.9509, loss_cls: 3.9921, loss: 3.9921
2025-06-03 22:28:07,297 - pyskl - INFO - Epoch [107][400/523] lr: 3.594e-02, eta: 13:08:40, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7284, top5_acc: 0.9544, loss_cls: 4.0548, loss: 4.0548
2025-06-03 22:28:51,342 - pyskl - INFO - Epoch [107][500/523] lr: 3.589e-02, eta: 13:07:49, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.7222, top5_acc: 0.9487, loss_cls: 4.1052, loss: 4.1052
2025-06-03 22:29:02,043 - pyskl - INFO - Saving checkpoint at 107 epochs
2025-06-03 22:29:30,170 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 22:29:30,238 - pyskl - INFO -
top1_acc 0.3918
top5_acc 0.6285
2025-06-03 22:29:30,238 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 22:29:30,246 - pyskl - INFO -
mean_acc 0.3936
2025-06-03 22:29:30,247 - pyskl - INFO - Epoch(val) [107][198] top1_acc: 0.3918, top5_acc: 0.6285, mean_class_accuracy: 0.3936
2025-06-03 22:30:38,973 - pyskl - INFO - Epoch [108][100/523] lr: 3.584e-02, eta: 13:07:11, time: 0.687, data_time: 0.256, memory: 7964, top1_acc: 0.7688, top5_acc: 0.9600, loss_cls: 3.8202, loss: 3.8202
2025-06-03 22:31:23,244 - pyskl - INFO - Epoch [108][200/523] lr: 3.579e-02, eta: 13:06:20, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.7391, top5_acc: 0.9556, loss_cls: 3.9278, loss: 3.9278
2025-06-03 22:32:07,272 - pyskl - INFO - Epoch [108][300/523] lr: 3.575e-02, eta: 13:05:28, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.7397, top5_acc: 0.9559, loss_cls: 3.9658, loss: 3.9658
2025-06-03 22:32:51,329 - pyskl - INFO - Epoch [108][400/523] lr: 3.570e-02, eta: 13:04:36, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7284, top5_acc: 0.9466, loss_cls: 4.0274, loss: 4.0274
2025-06-03 22:33:35,588 - pyskl - INFO - Epoch [108][500/523] lr: 3.566e-02, eta: 13:03:45, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.7297, top5_acc: 0.9431, loss_cls: 4.0357, loss: 4.0357
2025-06-03 22:33:46,421 - pyskl - INFO - Saving checkpoint at 108 epochs
2025-06-03 22:34:14,322 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 22:34:14,389 - pyskl - INFO -
top1_acc 0.3850
top5_acc 0.6190
2025-06-03 22:34:14,389 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 22:34:14,396 - pyskl - INFO -
mean_acc 0.3835
2025-06-03 22:34:14,397 - pyskl - INFO - Epoch(val) [108][198] top1_acc: 0.3850, top5_acc: 0.6190, mean_class_accuracy: 0.3835
2025-06-03 22:35:23,841 - pyskl - INFO - Epoch [109][100/523] lr: 3.560e-02, eta: 13:03:08, time: 0.694, data_time: 0.253, memory: 7964, top1_acc: 0.7769, top5_acc: 0.9666, loss_cls: 3.7938, loss: 3.7938
2025-06-03 22:36:08,078 - pyskl - INFO - Epoch [109][200/523] lr: 3.555e-02, eta: 13:02:17, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.7466, top5_acc: 0.9544, loss_cls: 3.9267, loss: 3.9267
2025-06-03 22:36:52,242 - pyskl - INFO - Epoch [109][300/523] lr: 3.551e-02, eta: 13:01:25, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.7469, top5_acc: 0.9556, loss_cls: 3.9994, loss: 3.9994
2025-06-03 22:37:36,316 - pyskl - INFO - Epoch [109][400/523] lr: 3.546e-02, eta: 13:00:33, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7403, top5_acc: 0.9466, loss_cls: 4.0946, loss: 4.0946
2025-06-03 22:38:20,109 - pyskl - INFO - Epoch [109][500/523] lr: 3.542e-02, eta: 12:59:41, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.7288, top5_acc: 0.9456, loss_cls: 4.0813, loss: 4.0813
2025-06-03 22:38:30,899 - pyskl - INFO - Saving checkpoint at 109 epochs
2025-06-03 22:38:58,873 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 22:38:58,941 - pyskl - INFO -
top1_acc 0.3973
top5_acc 0.6187
2025-06-03 22:38:58,941 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 22:38:58,949 - pyskl - INFO -
mean_acc 0.3948
2025-06-03 22:38:58,950 - pyskl - INFO - Epoch(val) [109][198] top1_acc: 0.3973, top5_acc: 0.6187, mean_class_accuracy: 0.3948
2025-06-03 22:40:07,050 - pyskl - INFO - Epoch [110][100/523] lr: 3.536e-02, eta: 12:59:02, time: 0.681, data_time: 0.259, memory: 7964, top1_acc: 0.7738, top5_acc: 0.9669, loss_cls: 3.8565, loss: 3.8565
2025-06-03 22:40:51,651 - pyskl - INFO - Epoch [110][200/523] lr: 3.532e-02, eta: 12:58:11, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.7600, top5_acc: 0.9603, loss_cls: 3.8304, loss: 3.8304
2025-06-03 22:41:35,442 - pyskl - INFO - Epoch [110][300/523] lr: 3.527e-02, eta: 12:57:19, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.7238, top5_acc: 0.9509, loss_cls: 4.0745, loss: 4.0745
2025-06-03 22:42:18,782 - pyskl - INFO - Epoch [110][400/523] lr: 3.523e-02, eta: 12:56:26, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.7488, top5_acc: 0.9525, loss_cls: 4.0726, loss: 4.0726
2025-06-03 22:43:02,822 - pyskl - INFO - Epoch [110][500/523] lr: 3.518e-02, eta: 12:55:35, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.7412, top5_acc: 0.9509, loss_cls: 4.0179, loss: 4.0179
2025-06-03 22:43:13,632 - pyskl - INFO - Saving checkpoint at 110 epochs
2025-06-03 22:43:41,725 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 22:43:41,792 - pyskl - INFO -
top1_acc 0.3923
top5_acc 0.6264
2025-06-03 22:43:41,793 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 22:43:41,799 - pyskl - INFO -
mean_acc 0.3935
2025-06-03 22:43:41,801 - pyskl - INFO - Epoch(val) [110][198] top1_acc: 0.3923, top5_acc: 0.6264, mean_class_accuracy: 0.3935
2025-06-03 22:44:51,803 - pyskl - INFO - Epoch [111][100/523] lr: 3.512e-02, eta: 12:54:58, time: 0.700, data_time: 0.254, memory: 7964, top1_acc: 0.7572, top5_acc: 0.9631, loss_cls: 3.8131, loss: 3.8131
2025-06-03 22:45:36,026 - pyskl - INFO - Epoch [111][200/523] lr: 3.508e-02, eta: 12:54:07, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.7588, top5_acc: 0.9537, loss_cls: 3.9054, loss: 3.9054
2025-06-03 22:46:20,246 - pyskl - INFO - Epoch [111][300/523] lr: 3.503e-02, eta: 12:53:16, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.7441, top5_acc: 0.9534, loss_cls: 3.9540, loss: 3.9540
2025-06-03 22:47:04,585 - pyskl - INFO - Epoch [111][400/523] lr: 3.499e-02, eta: 12:52:25, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.7462, top5_acc: 0.9547, loss_cls: 4.0247, loss: 4.0247
2025-06-03 22:47:48,860 - pyskl - INFO - Epoch [111][500/523] lr: 3.494e-02, eta: 12:51:33, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.7441, top5_acc: 0.9478, loss_cls: 4.0731, loss: 4.0731
2025-06-03 22:47:59,730 - pyskl - INFO - Saving checkpoint at 111 epochs
2025-06-03 22:48:27,911 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 22:48:27,980 - pyskl - INFO -
top1_acc 0.3900
top5_acc 0.6326
2025-06-03 22:48:27,980 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 22:48:27,987 - pyskl - INFO -
mean_acc 0.3882
2025-06-03 22:48:27,989 - pyskl - INFO - Epoch(val) [111][198] top1_acc: 0.3900, top5_acc: 0.6326, mean_class_accuracy: 0.3882
2025-06-03 22:49:37,473 - pyskl - INFO - Epoch [112][100/523] lr: 3.488e-02, eta: 12:50:56, time: 0.695, data_time: 0.255, memory: 7964, top1_acc: 0.7762, top5_acc: 0.9622, loss_cls: 3.8817, loss: 3.8817
2025-06-03 22:50:21,480 - pyskl - INFO - Epoch [112][200/523] lr: 3.484e-02, eta: 12:50:04, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.7481, top5_acc: 0.9569, loss_cls: 3.8933, loss: 3.8933
2025-06-03 22:51:04,917 - pyskl - INFO - Epoch [112][300/523] lr: 3.479e-02, eta: 12:49:12, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.7478, top5_acc: 0.9544, loss_cls: 4.0236, loss: 4.0236
2025-06-03 22:51:48,637 - pyskl - INFO - Epoch [112][400/523] lr: 3.475e-02, eta: 12:48:20, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.7450, top5_acc: 0.9553, loss_cls: 3.9701, loss: 3.9701
2025-06-03 22:52:32,861 - pyskl - INFO - Epoch [112][500/523] lr: 3.470e-02, eta: 12:47:28, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.7328, top5_acc: 0.9537, loss_cls: 3.9639, loss: 3.9639
2025-06-03 22:52:43,696 - pyskl - INFO - Saving checkpoint at 112 epochs
2025-06-03 22:53:11,917 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 22:53:11,984 - pyskl - INFO -
top1_acc 0.3873
top5_acc 0.6314
2025-06-03 22:53:11,985 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 22:53:11,992 - pyskl - INFO -
mean_acc 0.3855
2025-06-03 22:53:11,993 - pyskl - INFO - Epoch(val) [112][198] top1_acc: 0.3873, top5_acc: 0.6314, mean_class_accuracy: 0.3855
2025-06-03 22:54:19,644 - pyskl - INFO - Epoch [113][100/523] lr: 3.464e-02, eta: 12:46:48, time: 0.676, data_time: 0.253, memory: 7964, top1_acc: 0.7638, top5_acc: 0.9663, loss_cls: 3.8429, loss: 3.8429
2025-06-03 22:55:03,935 - pyskl - INFO - Epoch [113][200/523] lr: 3.460e-02, eta: 12:45:57, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.7688, top5_acc: 0.9600, loss_cls: 3.8079, loss: 3.8079
2025-06-03 22:55:48,380 - pyskl - INFO - Epoch [113][300/523] lr: 3.455e-02, eta: 12:45:06, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.7406, top5_acc: 0.9516, loss_cls: 4.0487, loss: 4.0487
2025-06-03 22:56:32,201 - pyskl - INFO - Epoch [113][400/523] lr: 3.450e-02, eta: 12:44:14, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.7200, top5_acc: 0.9578, loss_cls: 4.0547, loss: 4.0547
2025-06-03 22:57:16,310 - pyskl - INFO - Epoch [113][500/523] lr: 3.446e-02, eta: 12:43:23, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7297, top5_acc: 0.9491, loss_cls: 4.0542, loss: 4.0542
2025-06-03 22:57:27,136 - pyskl - INFO - Saving checkpoint at 113 epochs
2025-06-03 22:57:55,264 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 22:57:55,333 - pyskl - INFO -
top1_acc 0.3926
top5_acc 0.6233
2025-06-03 22:57:55,333 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 22:57:55,340 - pyskl - INFO -
mean_acc 0.3908
2025-06-03 22:57:55,341 - pyskl - INFO - Epoch(val) [113][198] top1_acc: 0.3926, top5_acc: 0.6233, mean_class_accuracy: 0.3908
2025-06-03 22:59:04,990 - pyskl - INFO - Epoch [114][100/523] lr: 3.440e-02, eta: 12:42:45, time: 0.696, data_time: 0.254, memory: 7964, top1_acc: 0.7775, top5_acc: 0.9634, loss_cls: 3.7405, loss: 3.7405
2025-06-03 22:59:49,373 - pyskl - INFO - Epoch [114][200/523] lr: 3.435e-02, eta: 12:41:54, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.7491, top5_acc: 0.9606, loss_cls: 4.0017, loss: 4.0017
2025-06-03 23:00:32,803 - pyskl - INFO - Epoch [114][300/523] lr: 3.431e-02, eta: 12:41:02, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.7547, top5_acc: 0.9569, loss_cls: 3.9542, loss: 3.9542
2025-06-03 23:01:17,140 - pyskl - INFO - Epoch [114][400/523] lr: 3.426e-02, eta: 12:40:11, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.7488, top5_acc: 0.9625, loss_cls: 3.9308, loss: 3.9308
2025-06-03 23:02:01,611 - pyskl - INFO - Epoch [114][500/523] lr: 3.421e-02, eta: 12:39:20, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.7403, top5_acc: 0.9484, loss_cls: 4.0104, loss: 4.0104
2025-06-03 23:02:12,487 - pyskl - INFO - Saving checkpoint at 114 epochs
2025-06-03 23:02:40,664 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 23:02:40,732 - pyskl - INFO -
top1_acc 0.3918
top5_acc 0.6336
2025-06-03 23:02:40,733 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 23:02:40,740 - pyskl - INFO -
mean_acc 0.3922
2025-06-03 23:02:40,741 - pyskl - INFO - Epoch(val) [114][198] top1_acc: 0.3918, top5_acc: 0.6336, mean_class_accuracy: 0.3922
2025-06-03 23:03:50,489 - pyskl - INFO - Epoch [115][100/523] lr: 3.416e-02, eta: 12:38:42, time: 0.697, data_time: 0.252, memory: 7964, top1_acc: 0.7781, top5_acc: 0.9669, loss_cls: 3.7147, loss: 3.7147
2025-06-03 23:04:33,990 - pyskl - INFO - Epoch [115][200/523] lr: 3.411e-02, eta: 12:37:50, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.7522, top5_acc: 0.9587, loss_cls: 3.8770, loss: 3.8770
2025-06-03 23:05:17,804 - pyskl - INFO - Epoch [115][300/523] lr: 3.406e-02, eta: 12:36:58, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.7584, top5_acc: 0.9672, loss_cls: 3.7912, loss: 3.7912
2025-06-03 23:06:01,942 - pyskl - INFO - Epoch [115][400/523] lr: 3.402e-02, eta: 12:36:07, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7247, top5_acc: 0.9537, loss_cls: 4.0291, loss: 4.0291
2025-06-03 23:06:45,955 - pyskl - INFO - Epoch [115][500/523] lr: 3.397e-02, eta: 12:35:16, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.7350, top5_acc: 0.9513, loss_cls: 4.0129, loss: 4.0129
2025-06-03 23:06:56,768 - pyskl - INFO - Saving checkpoint at 115 epochs
2025-06-03 23:07:24,961 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 23:07:25,033 - pyskl - INFO -
top1_acc 0.3973
top5_acc 0.6234
2025-06-03 23:07:25,034 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 23:07:25,041 - pyskl - INFO -
mean_acc 0.3964
2025-06-03 23:07:25,042 - pyskl - INFO - Epoch(val) [115][198] top1_acc: 0.3973, top5_acc: 0.6234, mean_class_accuracy: 0.3964
2025-06-03 23:08:35,008 - pyskl - INFO - Epoch [116][100/523] lr: 3.391e-02, eta: 12:34:38, time: 0.700, data_time: 0.257, memory: 7964, top1_acc: 0.7747, top5_acc: 0.9628, loss_cls: 3.7835, loss: 3.7835
2025-06-03 23:09:19,190 - pyskl - INFO - Epoch [116][200/523] lr: 3.387e-02, eta: 12:33:47, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.7641, top5_acc: 0.9650, loss_cls: 3.7852, loss: 3.7852
2025-06-03 23:10:03,112 - pyskl - INFO - Epoch [116][300/523] lr: 3.382e-02, eta: 12:32:55, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.7612, top5_acc: 0.9619, loss_cls: 3.9057, loss: 3.9057
2025-06-03 23:10:47,415 - pyskl - INFO - Epoch [116][400/523] lr: 3.377e-02, eta: 12:32:04, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.7456, top5_acc: 0.9556, loss_cls: 3.9440, loss: 3.9440
2025-06-03 23:11:31,691 - pyskl - INFO - Epoch [116][500/523] lr: 3.373e-02, eta: 12:31:13, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.7381, top5_acc: 0.9531, loss_cls: 3.9442, loss: 3.9442
2025-06-03 23:11:42,530 - pyskl - INFO - Saving checkpoint at 116 epochs
2025-06-03 23:12:10,627 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 23:12:10,694 - pyskl - INFO -
top1_acc 0.4027
top5_acc 0.6204
2025-06-03 23:12:10,695 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 23:12:10,701 - pyskl - INFO -
mean_acc 0.4023
2025-06-03 23:12:10,703 - pyskl - INFO - Epoch(val) [116][198] top1_acc: 0.4027, top5_acc: 0.6204, mean_class_accuracy: 0.4023
2025-06-03 23:13:20,569 - pyskl - INFO - Epoch [117][100/523] lr: 3.367e-02, eta: 12:30:35, time: 0.699, data_time: 0.257, memory: 7964, top1_acc: 0.7788, top5_acc: 0.9650, loss_cls: 3.7322, loss: 3.7322
2025-06-03 23:14:04,836 - pyskl - INFO - Epoch [117][200/523] lr: 3.362e-02, eta: 12:29:44, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.7650, top5_acc: 0.9622, loss_cls: 3.8403, loss: 3.8403
2025-06-03 23:14:49,267 - pyskl - INFO - Epoch [117][300/523] lr: 3.357e-02, eta: 12:28:54, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.7594, top5_acc: 0.9644, loss_cls: 3.8788, loss: 3.8788
2025-06-03 23:15:33,020 - pyskl - INFO - Epoch [117][400/523] lr: 3.353e-02, eta: 12:28:02, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.7609, top5_acc: 0.9566, loss_cls: 3.9693, loss: 3.9693
2025-06-03 23:16:17,524 - pyskl - INFO - Epoch [117][500/523] lr: 3.348e-02, eta: 12:27:12, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.7303, top5_acc: 0.9544, loss_cls: 4.0000, loss: 4.0000
2025-06-03 23:16:28,422 - pyskl - INFO - Saving checkpoint at 117 epochs
2025-06-03 23:16:56,660 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 23:16:56,728 - pyskl - INFO -
top1_acc 0.3910
top5_acc 0.6230
2025-06-03 23:16:56,728 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 23:16:56,735 - pyskl - INFO -
mean_acc 0.3922
2025-06-03 23:16:56,736 - pyskl - INFO - Epoch(val) [117][198] top1_acc: 0.3910, top5_acc: 0.6230, mean_class_accuracy: 0.3922
2025-06-03 23:18:04,955 - pyskl - INFO - Epoch [118][100/523] lr: 3.342e-02, eta: 12:26:31, time: 0.682, data_time: 0.255, memory: 7964, top1_acc: 0.7872, top5_acc: 0.9650, loss_cls: 3.7459, loss: 3.7459
2025-06-03 23:18:48,979 - pyskl - INFO - Epoch [118][200/523] lr: 3.337e-02, eta: 12:25:39, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.7706, top5_acc: 0.9669, loss_cls: 3.8129, loss: 3.8129
2025-06-03 23:19:32,572 - pyskl - INFO - Epoch [118][300/523] lr: 3.333e-02, eta: 12:24:47, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.7681, top5_acc: 0.9622, loss_cls: 3.8112, loss: 3.8112
2025-06-03 23:20:16,905 - pyskl - INFO - Epoch [118][400/523] lr: 3.328e-02, eta: 12:23:57, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.7400, top5_acc: 0.9500, loss_cls: 4.0135, loss: 4.0135
2025-06-03 23:21:01,044 - pyskl - INFO - Epoch [118][500/523] lr: 3.323e-02, eta: 12:23:06, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7541, top5_acc: 0.9534, loss_cls: 3.9448, loss: 3.9448
2025-06-03 23:21:11,861 - pyskl - INFO - Saving checkpoint at 118 epochs
2025-06-03 23:21:39,947 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 23:21:40,014 - pyskl - INFO -
top1_acc 0.3956
top5_acc 0.6253
2025-06-03 23:21:40,014 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 23:21:40,021 - pyskl - INFO -
mean_acc 0.3967
2025-06-03 23:21:40,022 - pyskl - INFO - Epoch(val) [118][198] top1_acc: 0.3956, top5_acc: 0.6253, mean_class_accuracy: 0.3967
2025-06-03 23:22:50,278 - pyskl - INFO - Epoch [119][100/523] lr: 3.317e-02, eta: 12:22:28, time: 0.702, data_time: 0.258, memory: 7964, top1_acc: 0.7822, top5_acc: 0.9597, loss_cls: 3.7659, loss: 3.7659
2025-06-03 23:23:34,431 - pyskl - INFO - Epoch [119][200/523] lr: 3.313e-02, eta: 12:21:37, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.7653, top5_acc: 0.9628, loss_cls: 3.8429, loss: 3.8429
2025-06-03 23:24:18,602 - pyskl - INFO - Epoch [119][300/523] lr: 3.308e-02, eta: 12:20:46, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.7612, top5_acc: 0.9647, loss_cls: 3.8382, loss: 3.8382
2025-06-03 23:25:02,627 - pyskl - INFO - Epoch [119][400/523] lr: 3.303e-02, eta: 12:19:54, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.7481, top5_acc: 0.9572, loss_cls: 3.9264, loss: 3.9264
2025-06-03 23:25:47,047 - pyskl - INFO - Epoch [119][500/523] lr: 3.299e-02, eta: 12:19:04, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.7666, top5_acc: 0.9641, loss_cls: 3.8192, loss: 3.8192
2025-06-03 23:25:57,935 - pyskl - INFO - Saving checkpoint at 119 epochs
2025-06-03 23:26:25,809 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 23:26:25,877 - pyskl - INFO -
top1_acc 0.3954
top5_acc 0.6396
2025-06-03 23:26:25,877 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 23:26:25,884 - pyskl - INFO -
mean_acc 0.3972
2025-06-03 23:26:25,885 - pyskl - INFO - Epoch(val) [119][198] top1_acc: 0.3954, top5_acc: 0.6396, mean_class_accuracy: 0.3972
2025-06-03 23:27:35,251 - pyskl - INFO - Epoch [120][100/523] lr: 3.293e-02, eta: 12:18:24, time: 0.694, data_time: 0.258, memory: 7964, top1_acc: 0.7741, top5_acc: 0.9697, loss_cls: 3.7082, loss: 3.7082
2025-06-03 23:28:19,574 - pyskl - INFO - Epoch [120][200/523] lr: 3.288e-02, eta: 12:17:33, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.7766, top5_acc: 0.9644, loss_cls: 3.7951, loss: 3.7951
2025-06-03 23:29:03,833 - pyskl - INFO - Epoch [120][300/523] lr: 3.283e-02, eta: 12:16:43, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.7666, top5_acc: 0.9644, loss_cls: 3.8228, loss: 3.8228
2025-06-03 23:29:47,949 - pyskl - INFO - Epoch [120][400/523] lr: 3.278e-02, eta: 12:15:52, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7491, top5_acc: 0.9625, loss_cls: 3.9468, loss: 3.9468
2025-06-03 23:30:32,150 - pyskl - INFO - Epoch [120][500/523] lr: 3.274e-02, eta: 12:15:01, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.7456, top5_acc: 0.9566, loss_cls: 3.8759, loss: 3.8759
2025-06-03 23:30:43,012 - pyskl - INFO - Saving checkpoint at 120 epochs
2025-06-03 23:31:11,064 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 23:31:11,131 - pyskl - INFO -
top1_acc 0.3994
top5_acc 0.6368
2025-06-03 23:31:11,131 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 23:31:11,138 - pyskl - INFO -
mean_acc 0.3976
2025-06-03 23:31:11,139 - pyskl - INFO - Epoch(val) [120][198] top1_acc: 0.3994, top5_acc: 0.6368, mean_class_accuracy: 0.3976
2025-06-03 23:32:20,837 - pyskl - INFO - Epoch [121][100/523] lr: 3.268e-02, eta: 12:14:21, time: 0.697, data_time: 0.252, memory: 7964, top1_acc: 0.7863, top5_acc: 0.9688, loss_cls: 3.8624, loss: 3.8624
2025-06-03 23:33:05,004 - pyskl - INFO - Epoch [121][200/523] lr: 3.263e-02, eta: 12:13:31, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.7797, top5_acc: 0.9656, loss_cls: 3.7915, loss: 3.7915
2025-06-03 23:33:49,170 - pyskl - INFO - Epoch [121][300/523] lr: 3.258e-02, eta: 12:12:40, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.7684, top5_acc: 0.9628, loss_cls: 3.8528, loss: 3.8528
2025-06-03 23:34:33,384 - pyskl - INFO - Epoch [121][400/523] lr: 3.254e-02, eta: 12:11:49, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.7544, top5_acc: 0.9584, loss_cls: 3.9386, loss: 3.9386
2025-06-03 23:35:17,487 - pyskl - INFO - Epoch [121][500/523] lr: 3.249e-02, eta: 12:10:58, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7456, top5_acc: 0.9556, loss_cls: 3.9581, loss: 3.9581
2025-06-03 23:35:28,376 - pyskl - INFO - Saving checkpoint at 121 epochs
2025-06-03 23:35:56,892 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 23:35:56,960 - pyskl - INFO -
top1_acc 0.4029
top5_acc 0.6393
2025-06-03 23:35:56,960 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 23:35:56,967 - pyskl - INFO -
mean_acc 0.4055
2025-06-03 23:35:56,968 - pyskl - INFO - Epoch(val) [121][198] top1_acc: 0.4029, top5_acc: 0.6393, mean_class_accuracy: 0.4055
2025-06-03 23:37:06,811 - pyskl - INFO - Epoch [122][100/523] lr: 3.243e-02, eta: 12:10:19, time: 0.698, data_time: 0.257, memory: 7964, top1_acc: 0.7956, top5_acc: 0.9719, loss_cls: 3.6281, loss: 3.6281
2025-06-03 23:37:51,053 - pyskl - INFO - Epoch [122][200/523] lr: 3.238e-02, eta: 12:09:28, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.7788, top5_acc: 0.9628, loss_cls: 3.8249, loss: 3.8249
2025-06-03 23:38:34,571 - pyskl - INFO - Epoch [122][300/523] lr: 3.233e-02, eta: 12:08:36, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.7609, top5_acc: 0.9625, loss_cls: 3.8711, loss: 3.8711
2025-06-03 23:39:18,458 - pyskl - INFO - Epoch [122][400/523] lr: 3.229e-02, eta: 12:07:45, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.7769, top5_acc: 0.9650, loss_cls: 3.8248, loss: 3.8248
2025-06-03 23:40:02,583 - pyskl - INFO - Epoch [122][500/523] lr: 3.224e-02, eta: 12:06:54, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7497, top5_acc: 0.9566, loss_cls: 3.9578, loss: 3.9578
2025-06-03 23:40:13,400 - pyskl - INFO - Saving checkpoint at 122 epochs
2025-06-03 23:40:41,487 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 23:40:41,555 - pyskl - INFO -
top1_acc 0.3910
top5_acc 0.6276
2025-06-03 23:40:41,556 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 23:40:41,562 - pyskl - INFO -
mean_acc 0.3910
2025-06-03 23:40:41,563 - pyskl - INFO - Epoch(val) [122][198] top1_acc: 0.3910, top5_acc: 0.6276, mean_class_accuracy: 0.3910
2025-06-03 23:41:49,288 - pyskl - INFO - Epoch [123][100/523] lr: 3.218e-02, eta: 12:06:11, time: 0.677, data_time: 0.255, memory: 7964, top1_acc: 0.7913, top5_acc: 0.9725, loss_cls: 3.6994, loss: 3.6994
2025-06-03 23:42:33,465 - pyskl - INFO - Epoch [123][200/523] lr: 3.213e-02, eta: 12:05:20, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.7806, top5_acc: 0.9688, loss_cls: 3.8362, loss: 3.8362
2025-06-03 23:43:17,833 - pyskl - INFO - Epoch [123][300/523] lr: 3.208e-02, eta: 12:04:30, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.7800, top5_acc: 0.9653, loss_cls: 3.8685, loss: 3.8685
2025-06-03 23:44:01,636 - pyskl - INFO - Epoch [123][400/523] lr: 3.203e-02, eta: 12:03:39, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.7512, top5_acc: 0.9544, loss_cls: 3.8170, loss: 3.8170
2025-06-03 23:44:45,699 - pyskl - INFO - Epoch [123][500/523] lr: 3.199e-02, eta: 12:02:48, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7572, top5_acc: 0.9594, loss_cls: 3.9808, loss: 3.9808
2025-06-03 23:44:56,410 - pyskl - INFO - Saving checkpoint at 123 epochs
2025-06-03 23:45:24,548 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 23:45:24,618 - pyskl - INFO -
top1_acc 0.4073
top5_acc 0.6480
2025-06-03 23:45:24,619 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 23:45:24,626 - pyskl - INFO -
mean_acc 0.4075
2025-06-03 23:45:24,627 - pyskl - INFO - Epoch(val) [123][198] top1_acc: 0.4073, top5_acc: 0.6480, mean_class_accuracy: 0.4075
2025-06-03 23:46:33,466 - pyskl - INFO - Epoch [124][100/523] lr: 3.193e-02, eta: 12:02:06, time: 0.688, data_time: 0.255, memory: 7964, top1_acc: 0.7900, top5_acc: 0.9678, loss_cls: 3.6452, loss: 3.6452
2025-06-03 23:47:17,965 - pyskl - INFO - Epoch [124][200/523] lr: 3.188e-02, eta: 12:01:16, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.7700, top5_acc: 0.9659, loss_cls: 3.7665, loss: 3.7665
2025-06-03 23:48:02,537 - pyskl - INFO - Epoch [124][300/523] lr: 3.183e-02, eta: 12:00:26, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.7719, top5_acc: 0.9669, loss_cls: 3.7977, loss: 3.7977
2025-06-03 23:48:46,174 - pyskl - INFO - Epoch [124][400/523] lr: 3.178e-02, eta: 11:59:35, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.7694, top5_acc: 0.9619, loss_cls: 3.8405, loss: 3.8405
2025-06-03 23:49:29,654 - pyskl - INFO - Epoch [124][500/523] lr: 3.173e-02, eta: 11:58:43, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.7612, top5_acc: 0.9537, loss_cls: 3.9269, loss: 3.9269
2025-06-03 23:49:40,417 - pyskl - INFO - Saving checkpoint at 124 epochs
2025-06-03 23:50:08,518 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 23:50:08,587 - pyskl - INFO -
top1_acc 0.3997
top5_acc 0.6334
2025-06-03 23:50:08,587 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 23:50:08,595 - pyskl - INFO -
mean_acc 0.4001
2025-06-03 23:50:08,596 - pyskl - INFO - Epoch(val) [124][198] top1_acc: 0.3997, top5_acc: 0.6334, mean_class_accuracy: 0.4001
2025-06-03 23:51:16,670 - pyskl - INFO - Epoch [125][100/523] lr: 3.168e-02, eta: 11:58:00, time: 0.681, data_time: 0.256, memory: 7964, top1_acc: 0.7937, top5_acc: 0.9719, loss_cls: 3.6758, loss: 3.6758
2025-06-03 23:52:01,015 - pyskl - INFO - Epoch [125][200/523] lr: 3.163e-02, eta: 11:57:10, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.7937, top5_acc: 0.9684, loss_cls: 3.7197, loss: 3.7197
2025-06-03 23:52:44,578 - pyskl - INFO - Epoch [125][300/523] lr: 3.158e-02, eta: 11:56:18, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.7659, top5_acc: 0.9644, loss_cls: 3.8140, loss: 3.8140
2025-06-03 23:53:28,833 - pyskl - INFO - Epoch [125][400/523] lr: 3.153e-02, eta: 11:55:28, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.7547, top5_acc: 0.9637, loss_cls: 3.8763, loss: 3.8763
2025-06-03 23:54:13,134 - pyskl - INFO - Epoch [125][500/523] lr: 3.148e-02, eta: 11:54:37, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.7659, top5_acc: 0.9597, loss_cls: 3.9353, loss: 3.9353
2025-06-03 23:54:23,978 - pyskl - INFO - Saving checkpoint at 125 epochs
2025-06-03 23:54:52,171 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 23:54:52,238 - pyskl - INFO -
top1_acc 0.3981
top5_acc 0.6323
2025-06-03 23:54:52,238 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 23:54:52,245 - pyskl - INFO -
mean_acc 0.3977
2025-06-03 23:54:52,246 - pyskl - INFO - Epoch(val) [125][198] top1_acc: 0.3981, top5_acc: 0.6323, mean_class_accuracy: 0.3977
2025-06-03 23:56:01,526 - pyskl - INFO - Epoch [126][100/523] lr: 3.142e-02, eta: 11:53:56, time: 0.693, data_time: 0.255, memory: 7964, top1_acc: 0.7934, top5_acc: 0.9706, loss_cls: 3.7805, loss: 3.7805
2025-06-03 23:56:45,941 - pyskl - INFO - Epoch [126][200/523] lr: 3.137e-02, eta: 11:53:06, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.7897, top5_acc: 0.9703, loss_cls: 3.7139, loss: 3.7139
2025-06-03 23:57:30,240 - pyskl - INFO - Epoch [126][300/523] lr: 3.133e-02, eta: 11:52:15, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.7675, top5_acc: 0.9641, loss_cls: 3.8476, loss: 3.8476
2025-06-03 23:58:14,421 - pyskl - INFO - Epoch [126][400/523] lr: 3.128e-02, eta: 11:51:25, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.7634, top5_acc: 0.9584, loss_cls: 3.8053, loss: 3.8053
2025-06-03 23:58:58,630 - pyskl - INFO - Epoch [126][500/523] lr: 3.123e-02, eta: 11:50:34, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.7541, top5_acc: 0.9613, loss_cls: 3.8677, loss: 3.8677
2025-06-03 23:59:09,485 - pyskl - INFO - Saving checkpoint at 126 epochs
2025-06-03 23:59:37,640 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-03 23:59:37,708 - pyskl - INFO -
top1_acc 0.4040
top5_acc 0.6444
2025-06-03 23:59:37,708 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-03 23:59:37,714 - pyskl - INFO -
mean_acc 0.4054
2025-06-03 23:59:37,715 - pyskl - INFO - Epoch(val) [126][198] top1_acc: 0.4040, top5_acc: 0.6444, mean_class_accuracy: 0.4054
2025-06-04 00:00:46,894 - pyskl - INFO - Epoch [127][100/523] lr: 3.117e-02, eta: 11:49:53, time: 0.692, data_time: 0.258, memory: 7964, top1_acc: 0.7963, top5_acc: 0.9719, loss_cls: 3.7014, loss: 3.7014
2025-06-04 00:01:31,093 - pyskl - INFO - Epoch [127][200/523] lr: 3.112e-02, eta: 11:49:02, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.7769, top5_acc: 0.9675, loss_cls: 3.7989, loss: 3.7989
2025-06-04 00:02:15,342 - pyskl - INFO - Epoch [127][300/523] lr: 3.107e-02, eta: 11:48:12, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.7863, top5_acc: 0.9669, loss_cls: 3.7591, loss: 3.7591
2025-06-04 00:02:59,457 - pyskl - INFO - Epoch [127][400/523] lr: 3.102e-02, eta: 11:47:21, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7753, top5_acc: 0.9709, loss_cls: 3.7319, loss: 3.7319
2025-06-04 00:03:43,566 - pyskl - INFO - Epoch [127][500/523] lr: 3.098e-02, eta: 11:46:31, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7666, top5_acc: 0.9609, loss_cls: 3.8984, loss: 3.8984
2025-06-04 00:03:54,319 - pyskl - INFO - Saving checkpoint at 127 epochs
2025-06-04 00:04:22,371 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 00:04:22,445 - pyskl - INFO -
top1_acc 0.4011
top5_acc 0.6317
2025-06-04 00:04:22,445 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 00:04:22,453 - pyskl - INFO -
mean_acc 0.4007
2025-06-04 00:04:22,455 - pyskl - INFO - Epoch(val) [127][198] top1_acc: 0.4011, top5_acc: 0.6317, mean_class_accuracy: 0.4007
2025-06-04 00:05:31,953 - pyskl - INFO - Epoch [128][100/523] lr: 3.092e-02, eta: 11:45:49, time: 0.695, data_time: 0.259, memory: 7964, top1_acc: 0.7972, top5_acc: 0.9706, loss_cls: 3.6467, loss: 3.6467
2025-06-04 00:06:14,866 - pyskl - INFO - Epoch [128][200/523] lr: 3.087e-02, eta: 11:44:57, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.7903, top5_acc: 0.9672, loss_cls: 3.7644, loss: 3.7644
2025-06-04 00:06:58,474 - pyskl - INFO - Epoch [128][300/523] lr: 3.082e-02, eta: 11:44:06, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.7987, top5_acc: 0.9675, loss_cls: 3.7576, loss: 3.7576
2025-06-04 00:07:42,715 - pyskl - INFO - Epoch [128][400/523] lr: 3.077e-02, eta: 11:43:15, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.7662, top5_acc: 0.9681, loss_cls: 3.8972, loss: 3.8972
2025-06-04 00:08:26,858 - pyskl - INFO - Epoch [128][500/523] lr: 3.072e-02, eta: 11:42:25, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7853, top5_acc: 0.9684, loss_cls: 3.6291, loss: 3.6291
2025-06-04 00:08:37,626 - pyskl - INFO - Saving checkpoint at 128 epochs
2025-06-04 00:09:06,030 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 00:09:06,099 - pyskl - INFO -
top1_acc 0.3786
top5_acc 0.6225
2025-06-04 00:09:06,100 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 00:09:06,110 - pyskl - INFO -
mean_acc 0.3777
2025-06-04 00:09:06,112 - pyskl - INFO - Epoch(val) [128][198] top1_acc: 0.3786, top5_acc: 0.6225, mean_class_accuracy: 0.3777
2025-06-04 00:10:15,712 - pyskl - INFO - Epoch [129][100/523] lr: 3.066e-02, eta: 11:41:43, time: 0.696, data_time: 0.258, memory: 7964, top1_acc: 0.8081, top5_acc: 0.9728, loss_cls: 3.5330, loss: 3.5330
2025-06-04 00:10:59,885 - pyskl - INFO - Epoch [129][200/523] lr: 3.061e-02, eta: 11:40:53, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.7894, top5_acc: 0.9700, loss_cls: 3.7870, loss: 3.7870
2025-06-04 00:11:44,331 - pyskl - INFO - Epoch [129][300/523] lr: 3.056e-02, eta: 11:40:03, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.7750, top5_acc: 0.9672, loss_cls: 3.8518, loss: 3.8518
2025-06-04 00:12:28,261 - pyskl - INFO - Epoch [129][400/523] lr: 3.051e-02, eta: 11:39:12, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.7822, top5_acc: 0.9597, loss_cls: 3.7478, loss: 3.7478
2025-06-04 00:13:12,268 - pyskl - INFO - Epoch [129][500/523] lr: 3.047e-02, eta: 11:38:22, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.7519, top5_acc: 0.9563, loss_cls: 3.8676, loss: 3.8676
2025-06-04 00:13:23,070 - pyskl - INFO - Saving checkpoint at 129 epochs
2025-06-04 00:13:51,028 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 00:13:51,098 - pyskl - INFO -
top1_acc 0.4018
top5_acc 0.6433
2025-06-04 00:13:51,099 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 00:13:51,106 - pyskl - INFO -
mean_acc 0.4020
2025-06-04 00:13:51,108 - pyskl - INFO - Epoch(val) [129][198] top1_acc: 0.4018, top5_acc: 0.6433, mean_class_accuracy: 0.4020
2025-06-04 00:15:00,598 - pyskl - INFO - Epoch [130][100/523] lr: 3.041e-02, eta: 11:37:40, time: 0.695, data_time: 0.256, memory: 7964, top1_acc: 0.7922, top5_acc: 0.9731, loss_cls: 3.6570, loss: 3.6570
2025-06-04 00:15:44,737 - pyskl - INFO - Epoch [130][200/523] lr: 3.036e-02, eta: 11:36:49, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7959, top5_acc: 0.9750, loss_cls: 3.6282, loss: 3.6282
2025-06-04 00:16:29,057 - pyskl - INFO - Epoch [130][300/523] lr: 3.031e-02, eta: 11:35:59, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.7859, top5_acc: 0.9716, loss_cls: 3.7869, loss: 3.7869
2025-06-04 00:17:13,178 - pyskl - INFO - Epoch [130][400/523] lr: 3.026e-02, eta: 11:35:09, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7772, top5_acc: 0.9616, loss_cls: 3.7965, loss: 3.7965
2025-06-04 00:17:57,148 - pyskl - INFO - Epoch [130][500/523] lr: 3.021e-02, eta: 11:34:18, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.7716, top5_acc: 0.9669, loss_cls: 3.8378, loss: 3.8378
2025-06-04 00:18:07,982 - pyskl - INFO - Saving checkpoint at 130 epochs
2025-06-04 00:18:36,311 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 00:18:36,381 - pyskl - INFO -
top1_acc 0.3973
top5_acc 0.6318
2025-06-04 00:18:36,381 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 00:18:36,389 - pyskl - INFO -
mean_acc 0.3969
2025-06-04 00:18:36,390 - pyskl - INFO - Epoch(val) [130][198] top1_acc: 0.3973, top5_acc: 0.6318, mean_class_accuracy: 0.3969
2025-06-04 00:19:46,136 - pyskl - INFO - Epoch [131][100/523] lr: 3.015e-02, eta: 11:33:36, time: 0.697, data_time: 0.261, memory: 7964, top1_acc: 0.7950, top5_acc: 0.9778, loss_cls: 3.6018, loss: 3.6018
2025-06-04 00:20:29,799 - pyskl - INFO - Epoch [131][200/523] lr: 3.010e-02, eta: 11:32:45, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.7891, top5_acc: 0.9734, loss_cls: 3.7268, loss: 3.7268
2025-06-04 00:21:13,696 - pyskl - INFO - Epoch [131][300/523] lr: 3.005e-02, eta: 11:31:54, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.7803, top5_acc: 0.9656, loss_cls: 3.7584, loss: 3.7584
2025-06-04 00:21:57,773 - pyskl - INFO - Epoch [131][400/523] lr: 3.000e-02, eta: 11:31:04, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7731, top5_acc: 0.9656, loss_cls: 3.6798, loss: 3.6798
2025-06-04 00:22:41,520 - pyskl - INFO - Epoch [131][500/523] lr: 2.995e-02, eta: 11:30:13, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.7644, top5_acc: 0.9634, loss_cls: 3.8690, loss: 3.8690
2025-06-04 00:22:52,215 - pyskl - INFO - Saving checkpoint at 131 epochs
2025-06-04 00:23:20,192 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 00:23:20,260 - pyskl - INFO -
top1_acc 0.3997
top5_acc 0.6199
2025-06-04 00:23:20,261 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 00:23:20,268 - pyskl - INFO -
mean_acc 0.4009
2025-06-04 00:23:20,269 - pyskl - INFO - Epoch(val) [131][198] top1_acc: 0.3997, top5_acc: 0.6199, mean_class_accuracy: 0.4009
2025-06-04 00:24:28,275 - pyskl - INFO - Epoch [132][100/523] lr: 2.989e-02, eta: 11:29:29, time: 0.680, data_time: 0.258, memory: 7964, top1_acc: 0.8137, top5_acc: 0.9734, loss_cls: 3.6270, loss: 3.6270
2025-06-04 00:25:10,741 - pyskl - INFO - Epoch [132][200/523] lr: 2.984e-02, eta: 11:28:36, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 0.7981, top5_acc: 0.9734, loss_cls: 3.7367, loss: 3.7367
2025-06-04 00:25:53,839 - pyskl - INFO - Epoch [132][300/523] lr: 2.979e-02, eta: 11:27:45, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.7928, top5_acc: 0.9728, loss_cls: 3.6749, loss: 3.6749
2025-06-04 00:26:38,150 - pyskl - INFO - Epoch [132][400/523] lr: 2.975e-02, eta: 11:26:55, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.7859, top5_acc: 0.9681, loss_cls: 3.7074, loss: 3.7074
2025-06-04 00:27:22,436 - pyskl - INFO - Epoch [132][500/523] lr: 2.970e-02, eta: 11:26:05, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.7612, top5_acc: 0.9563, loss_cls: 3.8808, loss: 3.8808
2025-06-04 00:27:33,220 - pyskl - INFO - Saving checkpoint at 132 epochs
2025-06-04 00:28:01,250 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 00:28:01,319 - pyskl - INFO -
top1_acc 0.3948
top5_acc 0.6323
2025-06-04 00:28:01,320 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 00:28:01,327 - pyskl - INFO -
mean_acc 0.3938
2025-06-04 00:28:01,329 - pyskl - INFO - Epoch(val) [132][198] top1_acc: 0.3948, top5_acc: 0.6323, mean_class_accuracy: 0.3938
2025-06-04 00:29:09,791 - pyskl - INFO - Epoch [133][100/523] lr: 2.964e-02, eta: 11:25:21, time: 0.685, data_time: 0.254, memory: 7964, top1_acc: 0.7978, top5_acc: 0.9722, loss_cls: 3.7046, loss: 3.7046
2025-06-04 00:29:52,095 - pyskl - INFO - Epoch [133][200/523] lr: 2.959e-02, eta: 11:24:28, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 0.8050, top5_acc: 0.9716, loss_cls: 3.5244, loss: 3.5244
2025-06-04 00:30:36,363 - pyskl - INFO - Epoch [133][300/523] lr: 2.954e-02, eta: 11:23:38, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.7881, top5_acc: 0.9691, loss_cls: 3.6856, loss: 3.6856
2025-06-04 00:31:20,406 - pyskl - INFO - Epoch [133][400/523] lr: 2.949e-02, eta: 11:22:48, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7812, top5_acc: 0.9644, loss_cls: 3.8358, loss: 3.8358
2025-06-04 00:32:04,874 - pyskl - INFO - Epoch [133][500/523] lr: 2.944e-02, eta: 11:21:58, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.7722, top5_acc: 0.9637, loss_cls: 3.9126, loss: 3.9126
2025-06-04 00:32:15,697 - pyskl - INFO - Saving checkpoint at 133 epochs
2025-06-04 00:32:43,917 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 00:32:43,985 - pyskl - INFO -
top1_acc 0.4062
top5_acc 0.6295
2025-06-04 00:32:43,985 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 00:32:43,991 - pyskl - INFO -
mean_acc 0.4064
2025-06-04 00:32:43,993 - pyskl - INFO - Epoch(val) [133][198] top1_acc: 0.4062, top5_acc: 0.6295, mean_class_accuracy: 0.4064
2025-06-04 00:33:53,603 - pyskl - INFO - Epoch [134][100/523] lr: 2.938e-02, eta: 11:21:15, time: 0.696, data_time: 0.256, memory: 7964, top1_acc: 0.8050, top5_acc: 0.9753, loss_cls: 3.6438, loss: 3.6438
2025-06-04 00:34:37,534 - pyskl - INFO - Epoch [134][200/523] lr: 2.933e-02, eta: 11:20:25, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.7972, top5_acc: 0.9681, loss_cls: 3.7056, loss: 3.7056
2025-06-04 00:35:21,675 - pyskl - INFO - Epoch [134][300/523] lr: 2.928e-02, eta: 11:19:34, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7959, top5_acc: 0.9706, loss_cls: 3.7093, loss: 3.7093
2025-06-04 00:36:05,811 - pyskl - INFO - Epoch [134][400/523] lr: 2.923e-02, eta: 11:18:44, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7913, top5_acc: 0.9672, loss_cls: 3.7404, loss: 3.7404
2025-06-04 00:36:49,790 - pyskl - INFO - Epoch [134][500/523] lr: 2.918e-02, eta: 11:17:54, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.7747, top5_acc: 0.9678, loss_cls: 3.7077, loss: 3.7077
2025-06-04 00:37:00,597 - pyskl - INFO - Saving checkpoint at 134 epochs
2025-06-04 00:37:28,881 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 00:37:28,951 - pyskl - INFO -
top1_acc 0.4032
top5_acc 0.6374
2025-06-04 00:37:28,952 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 00:37:28,961 - pyskl - INFO -
mean_acc 0.4039
2025-06-04 00:37:28,962 - pyskl - INFO - Epoch(val) [134][198] top1_acc: 0.4032, top5_acc: 0.6374, mean_class_accuracy: 0.4039
2025-06-04 00:38:38,300 - pyskl - INFO - Epoch [135][100/523] lr: 2.912e-02, eta: 11:17:11, time: 0.693, data_time: 0.256, memory: 7964, top1_acc: 0.8022, top5_acc: 0.9794, loss_cls: 3.5835, loss: 3.5835
2025-06-04 00:39:22,304 - pyskl - INFO - Epoch [135][200/523] lr: 2.907e-02, eta: 11:16:20, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.7869, top5_acc: 0.9672, loss_cls: 3.7126, loss: 3.7126
2025-06-04 00:40:06,303 - pyskl - INFO - Epoch [135][300/523] lr: 2.902e-02, eta: 11:15:30, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.7875, top5_acc: 0.9722, loss_cls: 3.6589, loss: 3.6589
2025-06-04 00:40:50,114 - pyskl - INFO - Epoch [135][400/523] lr: 2.897e-02, eta: 11:14:39, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.8072, top5_acc: 0.9706, loss_cls: 3.6411, loss: 3.6411
2025-06-04 00:41:33,799 - pyskl - INFO - Epoch [135][500/523] lr: 2.892e-02, eta: 11:13:49, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.7753, top5_acc: 0.9672, loss_cls: 3.6387, loss: 3.6387
2025-06-04 00:41:44,555 - pyskl - INFO - Saving checkpoint at 135 epochs
2025-06-04 00:42:12,801 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 00:42:12,869 - pyskl - INFO -
top1_acc 0.3877
top5_acc 0.6323
2025-06-04 00:42:12,870 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 00:42:12,877 - pyskl - INFO -
mean_acc 0.3866
2025-06-04 00:42:12,879 - pyskl - INFO - Epoch(val) [135][198] top1_acc: 0.3877, top5_acc: 0.6323, mean_class_accuracy: 0.3866
2025-06-04 00:43:22,298 - pyskl - INFO - Epoch [136][100/523] lr: 2.886e-02, eta: 11:13:05, time: 0.694, data_time: 0.256, memory: 7964, top1_acc: 0.8100, top5_acc: 0.9800, loss_cls: 3.4992, loss: 3.4992
2025-06-04 00:44:05,745 - pyskl - INFO - Epoch [136][200/523] lr: 2.881e-02, eta: 11:12:14, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.8053, top5_acc: 0.9731, loss_cls: 3.6221, loss: 3.6221
2025-06-04 00:44:50,053 - pyskl - INFO - Epoch [136][300/523] lr: 2.876e-02, eta: 11:11:25, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.7994, top5_acc: 0.9672, loss_cls: 3.6161, loss: 3.6161
2025-06-04 00:45:34,187 - pyskl - INFO - Epoch [136][400/523] lr: 2.871e-02, eta: 11:10:34, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7791, top5_acc: 0.9684, loss_cls: 3.7579, loss: 3.7579
2025-06-04 00:46:18,412 - pyskl - INFO - Epoch [136][500/523] lr: 2.866e-02, eta: 11:09:44, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.7834, top5_acc: 0.9678, loss_cls: 3.7008, loss: 3.7008
2025-06-04 00:46:29,322 - pyskl - INFO - Saving checkpoint at 136 epochs
2025-06-04 00:46:57,892 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 00:46:57,962 - pyskl - INFO -
top1_acc 0.3986
top5_acc 0.6260
2025-06-04 00:46:57,962 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 00:46:57,972 - pyskl - INFO -
mean_acc 0.3980
2025-06-04 00:46:57,974 - pyskl - INFO - Epoch(val) [136][198] top1_acc: 0.3986, top5_acc: 0.6260, mean_class_accuracy: 0.3980
2025-06-04 00:48:06,018 - pyskl - INFO - Epoch [137][100/523] lr: 2.860e-02, eta: 11:08:59, time: 0.680, data_time: 0.260, memory: 7964, top1_acc: 0.8075, top5_acc: 0.9769, loss_cls: 3.5983, loss: 3.5983
2025-06-04 00:48:48,493 - pyskl - INFO - Epoch [137][200/523] lr: 2.855e-02, eta: 11:08:07, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 0.8109, top5_acc: 0.9775, loss_cls: 3.5332, loss: 3.5332
2025-06-04 00:49:32,978 - pyskl - INFO - Epoch [137][300/523] lr: 2.850e-02, eta: 11:07:18, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.7900, top5_acc: 0.9725, loss_cls: 3.6478, loss: 3.6478
2025-06-04 00:50:17,233 - pyskl - INFO - Epoch [137][400/523] lr: 2.845e-02, eta: 11:06:28, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.7903, top5_acc: 0.9697, loss_cls: 3.7222, loss: 3.7222
2025-06-04 00:51:01,463 - pyskl - INFO - Epoch [137][500/523] lr: 2.840e-02, eta: 11:05:38, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.7769, top5_acc: 0.9691, loss_cls: 3.6251, loss: 3.6251
2025-06-04 00:51:12,125 - pyskl - INFO - Saving checkpoint at 137 epochs
2025-06-04 00:51:40,358 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 00:51:40,428 - pyskl - INFO -
top1_acc 0.4007
top5_acc 0.6329
2025-06-04 00:51:40,429 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 00:51:40,438 - pyskl - INFO -
mean_acc 0.4020
2025-06-04 00:51:40,440 - pyskl - INFO - Epoch(val) [137][198] top1_acc: 0.4007, top5_acc: 0.6329, mean_class_accuracy: 0.4020
2025-06-04 00:52:49,505 - pyskl - INFO - Epoch [138][100/523] lr: 2.834e-02, eta: 11:04:54, time: 0.691, data_time: 0.255, memory: 7964, top1_acc: 0.8203, top5_acc: 0.9769, loss_cls: 3.5069, loss: 3.5069
2025-06-04 00:53:31,681 - pyskl - INFO - Epoch [138][200/523] lr: 2.829e-02, eta: 11:04:01, time: 0.422, data_time: 0.000, memory: 7964, top1_acc: 0.8109, top5_acc: 0.9703, loss_cls: 3.6876, loss: 3.6876
2025-06-04 00:54:15,588 - pyskl - INFO - Epoch [138][300/523] lr: 2.824e-02, eta: 11:03:11, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.7922, top5_acc: 0.9688, loss_cls: 3.7275, loss: 3.7275
2025-06-04 00:54:59,699 - pyskl - INFO - Epoch [138][400/523] lr: 2.819e-02, eta: 11:02:21, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7822, top5_acc: 0.9688, loss_cls: 3.6752, loss: 3.6752
2025-06-04 00:55:43,781 - pyskl - INFO - Epoch [138][500/523] lr: 2.815e-02, eta: 11:01:31, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7850, top5_acc: 0.9669, loss_cls: 3.7654, loss: 3.7654
2025-06-04 00:55:54,290 - pyskl - INFO - Saving checkpoint at 138 epochs
2025-06-04 00:56:22,583 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 00:56:22,671 - pyskl - INFO -
top1_acc 0.4035
top5_acc 0.6337
2025-06-04 00:56:22,671 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 00:56:22,681 - pyskl - INFO -
mean_acc 0.4038
2025-06-04 00:56:22,683 - pyskl - INFO - Epoch(val) [138][198] top1_acc: 0.4035, top5_acc: 0.6337, mean_class_accuracy: 0.4038
2025-06-04 00:57:31,721 - pyskl - INFO - Epoch [139][100/523] lr: 2.808e-02, eta: 11:00:47, time: 0.690, data_time: 0.253, memory: 7964, top1_acc: 0.8322, top5_acc: 0.9819, loss_cls: 3.4730, loss: 3.4730
2025-06-04 00:58:14,267 - pyskl - INFO - Epoch [139][200/523] lr: 2.803e-02, eta: 10:59:55, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 0.8053, top5_acc: 0.9747, loss_cls: 3.5890, loss: 3.5890
2025-06-04 00:58:57,212 - pyskl - INFO - Epoch [139][300/523] lr: 2.798e-02, eta: 10:59:03, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.7984, top5_acc: 0.9728, loss_cls: 3.6071, loss: 3.6071
2025-06-04 00:59:41,240 - pyskl - INFO - Epoch [139][400/523] lr: 2.794e-02, eta: 10:58:13, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.7841, top5_acc: 0.9700, loss_cls: 3.6772, loss: 3.6772
2025-06-04 01:00:25,317 - pyskl - INFO - Epoch [139][500/523] lr: 2.789e-02, eta: 10:57:23, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7909, top5_acc: 0.9716, loss_cls: 3.7038, loss: 3.7038
2025-06-04 01:00:35,865 - pyskl - INFO - Saving checkpoint at 139 epochs
2025-06-04 01:01:04,271 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 01:01:04,342 - pyskl - INFO -
top1_acc 0.4013
top5_acc 0.6388
2025-06-04 01:01:04,343 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 01:01:04,352 - pyskl - INFO -
mean_acc 0.4018
2025-06-04 01:01:04,354 - pyskl - INFO - Epoch(val) [139][198] top1_acc: 0.4013, top5_acc: 0.6388, mean_class_accuracy: 0.4018
2025-06-04 01:02:13,673 - pyskl - INFO - Epoch [140][100/523] lr: 2.782e-02, eta: 10:56:39, time: 0.693, data_time: 0.256, memory: 7964, top1_acc: 0.8303, top5_acc: 0.9816, loss_cls: 3.5237, loss: 3.5237
2025-06-04 01:02:57,573 - pyskl - INFO - Epoch [140][200/523] lr: 2.777e-02, eta: 10:55:49, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.8219, top5_acc: 0.9772, loss_cls: 3.5324, loss: 3.5324
2025-06-04 01:03:41,211 - pyskl - INFO - Epoch [140][300/523] lr: 2.772e-02, eta: 10:54:58, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.7934, top5_acc: 0.9769, loss_cls: 3.5488, loss: 3.5488
2025-06-04 01:04:25,125 - pyskl - INFO - Epoch [140][400/523] lr: 2.767e-02, eta: 10:54:08, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.7906, top5_acc: 0.9747, loss_cls: 3.6887, loss: 3.6887
2025-06-04 01:05:08,908 - pyskl - INFO - Epoch [140][500/523] lr: 2.763e-02, eta: 10:53:18, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.7672, top5_acc: 0.9694, loss_cls: 3.7267, loss: 3.7267
2025-06-04 01:05:19,306 - pyskl - INFO - Saving checkpoint at 140 epochs
2025-06-04 01:05:47,671 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 01:05:47,740 - pyskl - INFO -
top1_acc 0.4064
top5_acc 0.6366
2025-06-04 01:05:47,740 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 01:05:47,748 - pyskl - INFO -
mean_acc 0.4050
2025-06-04 01:05:47,749 - pyskl - INFO - Epoch(val) [140][198] top1_acc: 0.4064, top5_acc: 0.6366, mean_class_accuracy: 0.4050
2025-06-04 01:06:57,081 - pyskl - INFO - Epoch [141][100/523] lr: 2.756e-02, eta: 10:52:34, time: 0.693, data_time: 0.253, memory: 7964, top1_acc: 0.8225, top5_acc: 0.9791, loss_cls: 3.5475, loss: 3.5475
2025-06-04 01:07:41,412 - pyskl - INFO - Epoch [141][200/523] lr: 2.751e-02, eta: 10:51:44, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.8303, top5_acc: 0.9816, loss_cls: 3.4604, loss: 3.4604
2025-06-04 01:08:25,825 - pyskl - INFO - Epoch [141][300/523] lr: 2.746e-02, eta: 10:50:54, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.7966, top5_acc: 0.9709, loss_cls: 3.6426, loss: 3.6426
2025-06-04 01:09:10,249 - pyskl - INFO - Epoch [141][400/523] lr: 2.741e-02, eta: 10:50:05, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.7922, top5_acc: 0.9703, loss_cls: 3.7509, loss: 3.7509
2025-06-04 01:09:54,420 - pyskl - INFO - Epoch [141][500/523] lr: 2.736e-02, eta: 10:49:15, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.7884, top5_acc: 0.9684, loss_cls: 3.6613, loss: 3.6613
2025-06-04 01:10:04,869 - pyskl - INFO - Saving checkpoint at 141 epochs
2025-06-04 01:10:33,083 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 01:10:33,169 - pyskl - INFO -
top1_acc 0.3894
top5_acc 0.6238
2025-06-04 01:10:33,170 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 01:10:33,179 - pyskl - INFO -
mean_acc 0.3897
2025-06-04 01:10:33,182 - pyskl - INFO - Epoch(val) [141][198] top1_acc: 0.3894, top5_acc: 0.6238, mean_class_accuracy: 0.3897
2025-06-04 01:11:42,890 - pyskl - INFO - Epoch [142][100/523] lr: 2.730e-02, eta: 10:48:31, time: 0.697, data_time: 0.255, memory: 7964, top1_acc: 0.8319, top5_acc: 0.9834, loss_cls: 3.5217, loss: 3.5217
2025-06-04 01:12:27,140 - pyskl - INFO - Epoch [142][200/523] lr: 2.725e-02, eta: 10:47:41, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.8191, top5_acc: 0.9784, loss_cls: 3.4954, loss: 3.4954
2025-06-04 01:13:11,587 - pyskl - INFO - Epoch [142][300/523] lr: 2.720e-02, eta: 10:46:52, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.8100, top5_acc: 0.9772, loss_cls: 3.6177, loss: 3.6177
2025-06-04 01:13:56,005 - pyskl - INFO - Epoch [142][400/523] lr: 2.715e-02, eta: 10:46:02, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.8063, top5_acc: 0.9753, loss_cls: 3.6798, loss: 3.6798
2025-06-04 01:14:40,225 - pyskl - INFO - Epoch [142][500/523] lr: 2.710e-02, eta: 10:45:12, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.7847, top5_acc: 0.9688, loss_cls: 3.6656, loss: 3.6656
2025-06-04 01:14:50,715 - pyskl - INFO - Saving checkpoint at 142 epochs
2025-06-04 01:15:19,319 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 01:15:19,405 - pyskl - INFO -
top1_acc 0.4049
top5_acc 0.6274
2025-06-04 01:15:19,406 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 01:15:19,414 - pyskl - INFO -
mean_acc 0.4061
2025-06-04 01:15:19,415 - pyskl - INFO - Epoch(val) [142][198] top1_acc: 0.4049, top5_acc: 0.6274, mean_class_accuracy: 0.4061
2025-06-04 01:16:28,761 - pyskl - INFO - Epoch [143][100/523] lr: 2.704e-02, eta: 10:44:28, time: 0.693, data_time: 0.256, memory: 7964, top1_acc: 0.8375, top5_acc: 0.9809, loss_cls: 3.5203, loss: 3.5203
2025-06-04 01:17:12,652 - pyskl - INFO - Epoch [143][200/523] lr: 2.699e-02, eta: 10:43:38, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.8237, top5_acc: 0.9803, loss_cls: 3.5640, loss: 3.5640
2025-06-04 01:17:56,267 - pyskl - INFO - Epoch [143][300/523] lr: 2.694e-02, eta: 10:42:47, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.8059, top5_acc: 0.9744, loss_cls: 3.6340, loss: 3.6340
2025-06-04 01:18:40,400 - pyskl - INFO - Epoch [143][400/523] lr: 2.689e-02, eta: 10:41:57, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7941, top5_acc: 0.9759, loss_cls: 3.6736, loss: 3.6736
2025-06-04 01:19:24,704 - pyskl - INFO - Epoch [143][500/523] lr: 2.684e-02, eta: 10:41:08, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.7784, top5_acc: 0.9756, loss_cls: 3.7749, loss: 3.7749
2025-06-04 01:19:35,356 - pyskl - INFO - Saving checkpoint at 143 epochs
2025-06-04 01:20:03,715 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 01:20:03,784 - pyskl - INFO -
top1_acc 0.3937
top5_acc 0.6207
2025-06-04 01:20:03,784 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 01:20:03,792 - pyskl - INFO -
mean_acc 0.3932
2025-06-04 01:20:03,793 - pyskl - INFO - Epoch(val) [143][198] top1_acc: 0.3937, top5_acc: 0.6207, mean_class_accuracy: 0.3932
2025-06-04 01:21:13,117 - pyskl - INFO - Epoch [144][100/523] lr: 2.678e-02, eta: 10:40:23, time: 0.693, data_time: 0.256, memory: 7964, top1_acc: 0.8266, top5_acc: 0.9806, loss_cls: 3.5405, loss: 3.5405
2025-06-04 01:21:56,891 - pyskl - INFO - Epoch [144][200/523] lr: 2.673e-02, eta: 10:39:33, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.8194, top5_acc: 0.9753, loss_cls: 3.5293, loss: 3.5293
2025-06-04 01:22:40,488 - pyskl - INFO - Epoch [144][300/523] lr: 2.668e-02, eta: 10:38:42, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.8116, top5_acc: 0.9728, loss_cls: 3.4375, loss: 3.4375
2025-06-04 01:23:24,650 - pyskl - INFO - Epoch [144][400/523] lr: 2.663e-02, eta: 10:37:53, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.8059, top5_acc: 0.9756, loss_cls: 3.6038, loss: 3.6038
2025-06-04 01:24:08,936 - pyskl - INFO - Epoch [144][500/523] lr: 2.658e-02, eta: 10:37:03, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.8000, top5_acc: 0.9722, loss_cls: 3.6318, loss: 3.6318
2025-06-04 01:24:19,960 - pyskl - INFO - Saving checkpoint at 144 epochs
2025-06-04 01:24:47,897 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 01:24:47,965 - pyskl - INFO -
top1_acc 0.4023
top5_acc 0.6333
2025-06-04 01:24:47,965 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 01:24:47,972 - pyskl - INFO -
mean_acc 0.4033
2025-06-04 01:24:47,973 - pyskl - INFO - Epoch(val) [144][198] top1_acc: 0.4023, top5_acc: 0.6333, mean_class_accuracy: 0.4033
2025-06-04 01:25:56,471 - pyskl - INFO - Epoch [145][100/523] lr: 2.652e-02, eta: 10:36:17, time: 0.685, data_time: 0.256, memory: 7964, top1_acc: 0.8325, top5_acc: 0.9784, loss_cls: 3.4870, loss: 3.4870
2025-06-04 01:26:39,306 - pyskl - INFO - Epoch [145][200/523] lr: 2.647e-02, eta: 10:35:26, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.8119, top5_acc: 0.9806, loss_cls: 3.5491, loss: 3.5491
2025-06-04 01:27:23,312 - pyskl - INFO - Epoch [145][300/523] lr: 2.642e-02, eta: 10:34:36, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.8091, top5_acc: 0.9794, loss_cls: 3.6040, loss: 3.6040
2025-06-04 01:28:07,423 - pyskl - INFO - Epoch [145][400/523] lr: 2.637e-02, eta: 10:33:46, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.8137, top5_acc: 0.9716, loss_cls: 3.5144, loss: 3.5144
2025-06-04 01:28:51,659 - pyskl - INFO - Epoch [145][500/523] lr: 2.632e-02, eta: 10:32:57, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.7894, top5_acc: 0.9716, loss_cls: 3.6484, loss: 3.6484
2025-06-04 01:29:02,345 - pyskl - INFO - Saving checkpoint at 145 epochs
2025-06-04 01:29:30,373 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 01:29:30,442 - pyskl - INFO -
top1_acc 0.3958
top5_acc 0.6245
2025-06-04 01:29:30,442 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 01:29:30,449 - pyskl - INFO -
mean_acc 0.3955
2025-06-04 01:29:30,451 - pyskl - INFO - Epoch(val) [145][198] top1_acc: 0.3958, top5_acc: 0.6245, mean_class_accuracy: 0.3955
2025-06-04 01:30:38,400 - pyskl - INFO - Epoch [146][100/523] lr: 2.626e-02, eta: 10:32:10, time: 0.679, data_time: 0.257, memory: 7964, top1_acc: 0.8366, top5_acc: 0.9828, loss_cls: 3.3873, loss: 3.3873
2025-06-04 01:31:21,788 - pyskl - INFO - Epoch [146][200/523] lr: 2.621e-02, eta: 10:31:20, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.8175, top5_acc: 0.9772, loss_cls: 3.5514, loss: 3.5514
2025-06-04 01:32:06,051 - pyskl - INFO - Epoch [146][300/523] lr: 2.616e-02, eta: 10:30:30, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.8197, top5_acc: 0.9766, loss_cls: 3.5264, loss: 3.5264
2025-06-04 01:32:50,315 - pyskl - INFO - Epoch [146][400/523] lr: 2.611e-02, eta: 10:29:40, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.8016, top5_acc: 0.9803, loss_cls: 3.5519, loss: 3.5519
2025-06-04 01:33:34,043 - pyskl - INFO - Epoch [146][500/523] lr: 2.606e-02, eta: 10:28:50, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.7950, top5_acc: 0.9675, loss_cls: 3.6663, loss: 3.6663
2025-06-04 01:33:44,468 - pyskl - INFO - Saving checkpoint at 146 epochs
2025-06-04 01:34:12,737 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 01:34:12,809 - pyskl - INFO -
top1_acc 0.3992
top5_acc 0.6306
2025-06-04 01:34:12,809 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 01:34:12,815 - pyskl - INFO -
mean_acc 0.4005
2025-06-04 01:34:12,817 - pyskl - INFO - Epoch(val) [146][198] top1_acc: 0.3992, top5_acc: 0.6306, mean_class_accuracy: 0.4005
2025-06-04 01:35:21,800 - pyskl - INFO - Epoch [147][100/523] lr: 2.600e-02, eta: 10:28:05, time: 0.690, data_time: 0.253, memory: 7964, top1_acc: 0.8425, top5_acc: 0.9856, loss_cls: 3.4348, loss: 3.4348
2025-06-04 01:36:05,844 - pyskl - INFO - Epoch [147][200/523] lr: 2.595e-02, eta: 10:27:15, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.8369, top5_acc: 0.9809, loss_cls: 3.5381, loss: 3.5381
2025-06-04 01:36:49,925 - pyskl - INFO - Epoch [147][300/523] lr: 2.590e-02, eta: 10:26:25, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.8141, top5_acc: 0.9778, loss_cls: 3.5927, loss: 3.5927
2025-06-04 01:37:34,077 - pyskl - INFO - Epoch [147][400/523] lr: 2.585e-02, eta: 10:25:35, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.8013, top5_acc: 0.9666, loss_cls: 3.6275, loss: 3.6275
2025-06-04 01:38:18,049 - pyskl - INFO - Epoch [147][500/523] lr: 2.580e-02, eta: 10:24:46, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.8031, top5_acc: 0.9753, loss_cls: 3.5524, loss: 3.5524
2025-06-04 01:38:28,911 - pyskl - INFO - Saving checkpoint at 147 epochs
2025-06-04 01:38:56,772 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 01:38:56,841 - pyskl - INFO -
top1_acc 0.4026
top5_acc 0.6356
2025-06-04 01:38:56,841 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 01:38:56,851 - pyskl - INFO -
mean_acc 0.4035
2025-06-04 01:38:56,853 - pyskl - INFO - Epoch(val) [147][198] top1_acc: 0.4026, top5_acc: 0.6356, mean_class_accuracy: 0.4035
2025-06-04 01:40:04,372 - pyskl - INFO - Epoch [148][100/523] lr: 2.574e-02, eta: 10:23:58, time: 0.675, data_time: 0.255, memory: 7964, top1_acc: 0.8478, top5_acc: 0.9866, loss_cls: 3.2093, loss: 3.2093
2025-06-04 01:40:48,514 - pyskl - INFO - Epoch [148][200/523] lr: 2.569e-02, eta: 10:23:09, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.8400, top5_acc: 0.9822, loss_cls: 3.4784, loss: 3.4784
2025-06-04 01:41:32,605 - pyskl - INFO - Epoch [148][300/523] lr: 2.564e-02, eta: 10:22:19, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.8044, top5_acc: 0.9709, loss_cls: 3.5883, loss: 3.5883
2025-06-04 01:42:16,667 - pyskl - INFO - Epoch [148][400/523] lr: 2.559e-02, eta: 10:21:29, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.8094, top5_acc: 0.9756, loss_cls: 3.5777, loss: 3.5777
2025-06-04 01:42:59,854 - pyskl - INFO - Epoch [148][500/523] lr: 2.554e-02, eta: 10:20:39, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.8000, top5_acc: 0.9772, loss_cls: 3.5214, loss: 3.5214
2025-06-04 01:43:10,642 - pyskl - INFO - Saving checkpoint at 148 epochs
2025-06-04 01:43:38,595 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 01:43:38,664 - pyskl - INFO -
top1_acc 0.3954
top5_acc 0.6255
2025-06-04 01:43:38,664 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 01:43:38,672 - pyskl - INFO -
mean_acc 0.3971
2025-06-04 01:43:38,673 - pyskl - INFO - Epoch(val) [148][198] top1_acc: 0.3954, top5_acc: 0.6255, mean_class_accuracy: 0.3971
2025-06-04 01:44:48,459 - pyskl - INFO - Epoch [149][100/523] lr: 2.547e-02, eta: 10:19:54, time: 0.698, data_time: 0.252, memory: 7964, top1_acc: 0.8475, top5_acc: 0.9844, loss_cls: 3.3814, loss: 3.3814
2025-06-04 01:45:32,269 - pyskl - INFO - Epoch [149][200/523] lr: 2.542e-02, eta: 10:19:04, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.8325, top5_acc: 0.9822, loss_cls: 3.5057, loss: 3.5057
2025-06-04 01:46:15,894 - pyskl - INFO - Epoch [149][300/523] lr: 2.537e-02, eta: 10:18:13, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.8228, top5_acc: 0.9806, loss_cls: 3.5698, loss: 3.5698
2025-06-04 01:46:59,779 - pyskl - INFO - Epoch [149][400/523] lr: 2.532e-02, eta: 10:17:24, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.8194, top5_acc: 0.9741, loss_cls: 3.6271, loss: 3.6271
2025-06-04 01:47:43,867 - pyskl - INFO - Epoch [149][500/523] lr: 2.527e-02, eta: 10:16:34, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.8019, top5_acc: 0.9753, loss_cls: 3.5296, loss: 3.5296
2025-06-04 01:47:54,779 - pyskl - INFO - Saving checkpoint at 149 epochs
2025-06-04 01:48:22,885 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 01:48:22,955 - pyskl - INFO -
top1_acc 0.4018
top5_acc 0.6344
2025-06-04 01:48:22,955 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 01:48:22,964 - pyskl - INFO -
mean_acc 0.4011
2025-06-04 01:48:22,965 - pyskl - INFO - Epoch(val) [149][198] top1_acc: 0.4018, top5_acc: 0.6344, mean_class_accuracy: 0.4011
2025-06-04 01:49:30,759 - pyskl - INFO - Epoch [150][100/523] lr: 2.521e-02, eta: 10:15:47, time: 0.678, data_time: 0.256, memory: 7964, top1_acc: 0.8500, top5_acc: 0.9847, loss_cls: 3.2892, loss: 3.2892
2025-06-04 01:50:14,015 - pyskl - INFO - Epoch [150][200/523] lr: 2.516e-02, eta: 10:14:56, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.8331, top5_acc: 0.9812, loss_cls: 3.4780, loss: 3.4780
2025-06-04 01:50:57,907 - pyskl - INFO - Epoch [150][300/523] lr: 2.511e-02, eta: 10:14:06, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.8163, top5_acc: 0.9775, loss_cls: 3.4723, loss: 3.4723
2025-06-04 01:51:41,800 - pyskl - INFO - Epoch [150][400/523] lr: 2.506e-02, eta: 10:13:17, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.8028, top5_acc: 0.9734, loss_cls: 3.6736, loss: 3.6736
2025-06-04 01:52:25,677 - pyskl - INFO - Epoch [150][500/523] lr: 2.501e-02, eta: 10:12:27, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.8044, top5_acc: 0.9738, loss_cls: 3.5957, loss: 3.5957
2025-06-04 01:52:36,644 - pyskl - INFO - Saving checkpoint at 150 epochs
2025-06-04 01:53:05,010 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 01:53:05,080 - pyskl - INFO -
top1_acc 0.4078
top5_acc 0.6333
2025-06-04 01:53:05,080 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 01:53:05,087 - pyskl - INFO -
mean_acc 0.4069
2025-06-04 01:53:05,148 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/k_2/best_top1_acc_epoch_104.pth was removed
2025-06-04 01:53:06,666 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_150.pth.
2025-06-04 01:53:06,668 - pyskl - INFO - Best top1_acc is 0.4078 at 150 epoch.
2025-06-04 01:53:06,670 - pyskl - INFO - Epoch(val) [150][198] top1_acc: 0.4078, top5_acc: 0.6333, mean_class_accuracy: 0.4069
2025-06-04 01:54:14,565 - pyskl - INFO - Epoch [151][100/523] lr: 2.495e-02, eta: 10:11:40, time: 0.679, data_time: 0.255, memory: 7964, top1_acc: 0.8553, top5_acc: 0.9844, loss_cls: 3.3247, loss: 3.3247
2025-06-04 01:54:58,409 - pyskl - INFO - Epoch [151][200/523] lr: 2.490e-02, eta: 10:10:50, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.8403, top5_acc: 0.9825, loss_cls: 3.4207, loss: 3.4207
2025-06-04 01:55:42,020 - pyskl - INFO - Epoch [151][300/523] lr: 2.485e-02, eta: 10:10:00, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.8125, top5_acc: 0.9719, loss_cls: 3.6019, loss: 3.6019
2025-06-04 01:56:25,578 - pyskl - INFO - Epoch [151][400/523] lr: 2.480e-02, eta: 10:09:10, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.8234, top5_acc: 0.9825, loss_cls: 3.3810, loss: 3.3810
2025-06-04 01:57:08,702 - pyskl - INFO - Epoch [151][500/523] lr: 2.475e-02, eta: 10:08:19, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.8037, top5_acc: 0.9784, loss_cls: 3.6068, loss: 3.6068
2025-06-04 01:57:19,370 - pyskl - INFO - Saving checkpoint at 151 epochs
2025-06-04 01:57:47,531 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 01:57:47,599 - pyskl - INFO -
top1_acc 0.4072
top5_acc 0.6355
2025-06-04 01:57:47,600 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 01:57:47,606 - pyskl - INFO -
mean_acc 0.4085
2025-06-04 01:57:47,607 - pyskl - INFO - Epoch(val) [151][198] top1_acc: 0.4072, top5_acc: 0.6355, mean_class_accuracy: 0.4085
2025-06-04 01:58:56,448 - pyskl - INFO - Epoch [152][100/523] lr: 2.469e-02, eta: 10:07:33, time: 0.688, data_time: 0.254, memory: 7964, top1_acc: 0.8416, top5_acc: 0.9828, loss_cls: 3.3020, loss: 3.3020
2025-06-04 01:59:40,593 - pyskl - INFO - Epoch [152][200/523] lr: 2.464e-02, eta: 10:06:43, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.8391, top5_acc: 0.9822, loss_cls: 3.4023, loss: 3.4023
2025-06-04 02:00:25,075 - pyskl - INFO - Epoch [152][300/523] lr: 2.459e-02, eta: 10:05:54, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.8356, top5_acc: 0.9800, loss_cls: 3.5066, loss: 3.5066
2025-06-04 02:01:09,320 - pyskl - INFO - Epoch [152][400/523] lr: 2.454e-02, eta: 10:05:05, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.8159, top5_acc: 0.9731, loss_cls: 3.4754, loss: 3.4754
2025-06-04 02:01:53,920 - pyskl - INFO - Epoch [152][500/523] lr: 2.449e-02, eta: 10:04:16, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.8009, top5_acc: 0.9753, loss_cls: 3.6182, loss: 3.6182
2025-06-04 02:02:04,787 - pyskl - INFO - Saving checkpoint at 152 epochs
2025-06-04 02:02:33,034 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 02:02:33,102 - pyskl - INFO -
top1_acc 0.4135
top5_acc 0.6393
2025-06-04 02:02:33,103 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 02:02:33,110 - pyskl - INFO -
mean_acc 0.4130
2025-06-04 02:02:33,172 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/k_2/best_top1_acc_epoch_150.pth was removed
2025-06-04 02:02:34,685 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_152.pth.
2025-06-04 02:02:34,687 - pyskl - INFO - Best top1_acc is 0.4135 at 152 epoch.
2025-06-04 02:02:34,689 - pyskl - INFO - Epoch(val) [152][198] top1_acc: 0.4135, top5_acc: 0.6393, mean_class_accuracy: 0.4130
2025-06-04 02:03:44,225 - pyskl - INFO - Epoch [153][100/523] lr: 2.443e-02, eta: 10:03:30, time: 0.695, data_time: 0.254, memory: 7964, top1_acc: 0.8553, top5_acc: 0.9875, loss_cls: 3.2649, loss: 3.2649
2025-06-04 02:04:28,308 - pyskl - INFO - Epoch [153][200/523] lr: 2.438e-02, eta: 10:02:40, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.8303, top5_acc: 0.9825, loss_cls: 3.2780, loss: 3.2780
2025-06-04 02:05:12,433 - pyskl - INFO - Epoch [153][300/523] lr: 2.433e-02, eta: 10:01:51, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.8234, top5_acc: 0.9784, loss_cls: 3.5214, loss: 3.5214
2025-06-04 02:05:56,635 - pyskl - INFO - Epoch [153][400/523] lr: 2.428e-02, eta: 10:01:01, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.8184, top5_acc: 0.9794, loss_cls: 3.5634, loss: 3.5634
2025-06-04 02:06:40,509 - pyskl - INFO - Epoch [153][500/523] lr: 2.423e-02, eta: 10:00:12, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.8184, top5_acc: 0.9772, loss_cls: 3.4935, loss: 3.4935
2025-06-04 02:06:51,045 - pyskl - INFO - Saving checkpoint at 153 epochs
2025-06-04 02:07:19,066 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 02:07:19,135 - pyskl - INFO -
top1_acc 0.3999
top5_acc 0.6272
2025-06-04 02:07:19,136 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 02:07:19,143 - pyskl - INFO -
mean_acc 0.3997
2025-06-04 02:07:19,144 - pyskl - INFO - Epoch(val) [153][198] top1_acc: 0.3999, top5_acc: 0.6272, mean_class_accuracy: 0.3997
2025-06-04 02:08:27,488 - pyskl - INFO - Epoch [154][100/523] lr: 2.417e-02, eta: 9:59:24, time: 0.683, data_time: 0.254, memory: 7964, top1_acc: 0.8606, top5_acc: 0.9903, loss_cls: 3.3306, loss: 3.3306
2025-06-04 02:09:11,559 - pyskl - INFO - Epoch [154][200/523] lr: 2.412e-02, eta: 9:58:35, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.8575, top5_acc: 0.9878, loss_cls: 3.3368, loss: 3.3368
2025-06-04 02:09:55,641 - pyskl - INFO - Epoch [154][300/523] lr: 2.407e-02, eta: 9:57:45, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.8281, top5_acc: 0.9788, loss_cls: 3.4484, loss: 3.4484
2025-06-04 02:10:39,877 - pyskl - INFO - Epoch [154][400/523] lr: 2.402e-02, eta: 9:56:56, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.8228, top5_acc: 0.9784, loss_cls: 3.4421, loss: 3.4421
2025-06-04 02:11:23,756 - pyskl - INFO - Epoch [154][500/523] lr: 2.397e-02, eta: 9:56:06, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.8013, top5_acc: 0.9722, loss_cls: 3.5739, loss: 3.5739
2025-06-04 02:11:34,557 - pyskl - INFO - Saving checkpoint at 154 epochs
2025-06-04 02:12:02,792 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 02:12:02,860 - pyskl - INFO -
top1_acc 0.4029
top5_acc 0.6293
2025-06-04 02:12:02,860 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 02:12:02,867 - pyskl - INFO -
mean_acc 0.4019
2025-06-04 02:12:02,868 - pyskl - INFO - Epoch(val) [154][198] top1_acc: 0.4029, top5_acc: 0.6293, mean_class_accuracy: 0.4019
2025-06-04 02:13:11,394 - pyskl - INFO - Epoch [155][100/523] lr: 2.390e-02, eta: 9:55:19, time: 0.685, data_time: 0.256, memory: 7964, top1_acc: 0.8566, top5_acc: 0.9869, loss_cls: 3.3128, loss: 3.3128
2025-06-04 02:13:55,087 - pyskl - INFO - Epoch [155][200/523] lr: 2.385e-02, eta: 9:54:29, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.8469, top5_acc: 0.9822, loss_cls: 3.3400, loss: 3.3400
2025-06-04 02:14:39,316 - pyskl - INFO - Epoch [155][300/523] lr: 2.380e-02, eta: 9:53:40, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.8234, top5_acc: 0.9859, loss_cls: 3.4666, loss: 3.4666
2025-06-04 02:15:23,693 - pyskl - INFO - Epoch [155][400/523] lr: 2.375e-02, eta: 9:52:51, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.8213, top5_acc: 0.9812, loss_cls: 3.4854, loss: 3.4854
2025-06-04 02:16:07,969 - pyskl - INFO - Epoch [155][500/523] lr: 2.370e-02, eta: 9:52:02, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.8163, top5_acc: 0.9769, loss_cls: 3.5081, loss: 3.5081
2025-06-04 02:16:18,795 - pyskl - INFO - Saving checkpoint at 155 epochs
2025-06-04 02:16:47,093 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 02:16:47,161 - pyskl - INFO -
top1_acc 0.4156
top5_acc 0.6414
2025-06-04 02:16:47,162 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 02:16:47,169 - pyskl - INFO -
mean_acc 0.4168
2025-06-04 02:16:47,229 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/k_2/best_top1_acc_epoch_152.pth was removed
2025-06-04 02:16:48,802 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_155.pth.
2025-06-04 02:16:48,804 - pyskl - INFO - Best top1_acc is 0.4156 at 155 epoch.
2025-06-04 02:16:48,807 - pyskl - INFO - Epoch(val) [155][198] top1_acc: 0.4156, top5_acc: 0.6414, mean_class_accuracy: 0.4168
2025-06-04 02:17:56,995 - pyskl - INFO - Epoch [156][100/523] lr: 2.364e-02, eta: 9:51:14, time: 0.682, data_time: 0.256, memory: 7964, top1_acc: 0.8656, top5_acc: 0.9884, loss_cls: 3.3180, loss: 3.3180
2025-06-04 02:18:39,004 - pyskl - INFO - Epoch [156][200/523] lr: 2.359e-02, eta: 9:50:23, time: 0.420, data_time: 0.000, memory: 7964, top1_acc: 0.8456, top5_acc: 0.9838, loss_cls: 3.2928, loss: 3.2928
2025-06-04 02:19:22,539 - pyskl - INFO - Epoch [156][300/523] lr: 2.354e-02, eta: 9:49:33, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.8363, top5_acc: 0.9844, loss_cls: 3.3782, loss: 3.3782
2025-06-04 02:20:06,911 - pyskl - INFO - Epoch [156][400/523] lr: 2.349e-02, eta: 9:48:44, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.8209, top5_acc: 0.9794, loss_cls: 3.4431, loss: 3.4431
2025-06-04 02:20:51,128 - pyskl - INFO - Epoch [156][500/523] lr: 2.344e-02, eta: 9:47:54, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.8341, top5_acc: 0.9819, loss_cls: 3.4880, loss: 3.4880
2025-06-04 02:21:02,017 - pyskl - INFO - Saving checkpoint at 156 epochs
2025-06-04 02:21:30,220 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 02:21:30,289 - pyskl - INFO -
top1_acc 0.4183
top5_acc 0.6421
2025-06-04 02:21:30,289 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 02:21:30,296 - pyskl - INFO -
mean_acc 0.4164
2025-06-04 02:21:30,356 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/k_2/best_top1_acc_epoch_155.pth was removed
2025-06-04 02:21:31,868 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_156.pth.
2025-06-04 02:21:31,869 - pyskl - INFO - Best top1_acc is 0.4183 at 156 epoch.
2025-06-04 02:21:31,872 - pyskl - INFO - Epoch(val) [156][198] top1_acc: 0.4183, top5_acc: 0.6421, mean_class_accuracy: 0.4164
2025-06-04 02:22:40,904 - pyskl - INFO - Epoch [157][100/523] lr: 2.338e-02, eta: 9:47:07, time: 0.690, data_time: 0.251, memory: 7964, top1_acc: 0.8572, top5_acc: 0.9869, loss_cls: 3.3433, loss: 3.3433
2025-06-04 02:23:25,249 - pyskl - INFO - Epoch [157][200/523] lr: 2.333e-02, eta: 9:46:18, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.8469, top5_acc: 0.9856, loss_cls: 3.3637, loss: 3.3637
2025-06-04 02:24:09,719 - pyskl - INFO - Epoch [157][300/523] lr: 2.328e-02, eta: 9:45:29, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.8350, top5_acc: 0.9866, loss_cls: 3.3766, loss: 3.3766
2025-06-04 02:24:52,457 - pyskl - INFO - Epoch [157][400/523] lr: 2.323e-02, eta: 9:44:39, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.8175, top5_acc: 0.9825, loss_cls: 3.4090, loss: 3.4090
2025-06-04 02:25:35,236 - pyskl - INFO - Epoch [157][500/523] lr: 2.318e-02, eta: 9:43:48, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.8269, top5_acc: 0.9806, loss_cls: 3.4834, loss: 3.4834
2025-06-04 02:25:46,144 - pyskl - INFO - Saving checkpoint at 157 epochs
2025-06-04 02:26:14,309 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 02:26:14,378 - pyskl - INFO -
top1_acc 0.4040
top5_acc 0.6344
2025-06-04 02:26:14,378 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 02:26:14,385 - pyskl - INFO -
mean_acc 0.4041
2025-06-04 02:26:14,386 - pyskl - INFO - Epoch(val) [157][198] top1_acc: 0.4040, top5_acc: 0.6344, mean_class_accuracy: 0.4041
2025-06-04 02:27:24,184 - pyskl - INFO - Epoch [158][100/523] lr: 2.312e-02, eta: 9:43:02, time: 0.698, data_time: 0.255, memory: 7964, top1_acc: 0.8672, top5_acc: 0.9912, loss_cls: 3.3870, loss: 3.3870
2025-06-04 02:28:08,339 - pyskl - INFO - Epoch [158][200/523] lr: 2.307e-02, eta: 9:42:12, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.8512, top5_acc: 0.9853, loss_cls: 3.2656, loss: 3.2656
2025-06-04 02:28:52,489 - pyskl - INFO - Epoch [158][300/523] lr: 2.302e-02, eta: 9:41:23, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.8472, top5_acc: 0.9844, loss_cls: 3.2573, loss: 3.2573
2025-06-04 02:29:36,835 - pyskl - INFO - Epoch [158][400/523] lr: 2.297e-02, eta: 9:40:34, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.8187, top5_acc: 0.9828, loss_cls: 3.5061, loss: 3.5061
2025-06-04 02:30:20,871 - pyskl - INFO - Epoch [158][500/523] lr: 2.292e-02, eta: 9:39:45, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.8181, top5_acc: 0.9794, loss_cls: 3.5275, loss: 3.5275
2025-06-04 02:30:31,731 - pyskl - INFO - Saving checkpoint at 158 epochs
2025-06-04 02:30:59,906 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 02:30:59,974 - pyskl - INFO -
top1_acc 0.4127
top5_acc 0.6412
2025-06-04 02:30:59,974 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 02:30:59,982 - pyskl - INFO -
mean_acc 0.4129
2025-06-04 02:30:59,983 - pyskl - INFO - Epoch(val) [158][198] top1_acc: 0.4127, top5_acc: 0.6412, mean_class_accuracy: 0.4129
2025-06-04 02:32:07,455 - pyskl - INFO - Epoch [159][100/523] lr: 2.286e-02, eta: 9:38:56, time: 0.675, data_time: 0.253, memory: 7964, top1_acc: 0.8709, top5_acc: 0.9903, loss_cls: 3.2608, loss: 3.2608
2025-06-04 02:32:50,366 - pyskl - INFO - Epoch [159][200/523] lr: 2.281e-02, eta: 9:38:06, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.8634, top5_acc: 0.9878, loss_cls: 3.2146, loss: 3.2146
2025-06-04 02:33:33,954 - pyskl - INFO - Epoch [159][300/523] lr: 2.276e-02, eta: 9:37:16, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.8372, top5_acc: 0.9819, loss_cls: 3.3924, loss: 3.3924
2025-06-04 02:34:18,249 - pyskl - INFO - Epoch [159][400/523] lr: 2.271e-02, eta: 9:36:27, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.8422, top5_acc: 0.9862, loss_cls: 3.4509, loss: 3.4509
2025-06-04 02:35:02,028 - pyskl - INFO - Epoch [159][500/523] lr: 2.266e-02, eta: 9:35:37, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.8153, top5_acc: 0.9812, loss_cls: 3.5131, loss: 3.5131
2025-06-04 02:35:12,848 - pyskl - INFO - Saving checkpoint at 159 epochs
2025-06-04 02:35:41,089 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 02:35:41,157 - pyskl - INFO -
top1_acc 0.4089
top5_acc 0.6361
2025-06-04 02:35:41,157 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 02:35:41,164 - pyskl - INFO -
mean_acc 0.4095
2025-06-04 02:35:41,165 - pyskl - INFO - Epoch(val) [159][198] top1_acc: 0.4089, top5_acc: 0.6361, mean_class_accuracy: 0.4095
2025-06-04 02:36:50,525 - pyskl - INFO - Epoch [160][100/523] lr: 2.260e-02, eta: 9:34:50, time: 0.694, data_time: 0.254, memory: 7964, top1_acc: 0.8669, top5_acc: 0.9903, loss_cls: 3.2898, loss: 3.2898
2025-06-04 02:37:34,465 - pyskl - INFO - Epoch [160][200/523] lr: 2.255e-02, eta: 9:34:01, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.8691, top5_acc: 0.9881, loss_cls: 3.2101, loss: 3.2101
2025-06-04 02:38:18,387 - pyskl - INFO - Epoch [160][300/523] lr: 2.250e-02, eta: 9:33:11, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.8366, top5_acc: 0.9847, loss_cls: 3.3417, loss: 3.3417
2025-06-04 02:39:02,183 - pyskl - INFO - Epoch [160][400/523] lr: 2.245e-02, eta: 9:32:22, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.8441, top5_acc: 0.9825, loss_cls: 3.3899, loss: 3.3899
2025-06-04 02:39:46,119 - pyskl - INFO - Epoch [160][500/523] lr: 2.240e-02, eta: 9:31:32, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.8416, top5_acc: 0.9775, loss_cls: 3.2958, loss: 3.2958
2025-06-04 02:39:56,918 - pyskl - INFO - Saving checkpoint at 160 epochs
2025-06-04 02:40:25,334 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 02:40:25,405 - pyskl - INFO -
top1_acc 0.4187
top5_acc 0.6377
2025-06-04 02:40:25,405 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 02:40:25,414 - pyskl - INFO -
mean_acc 0.4183
2025-06-04 02:40:25,475 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/k_2/best_top1_acc_epoch_156.pth was removed
2025-06-04 02:40:27,012 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_160.pth.
2025-06-04 02:40:27,013 - pyskl - INFO - Best top1_acc is 0.4187 at 160 epoch.
2025-06-04 02:40:27,016 - pyskl - INFO - Epoch(val) [160][198] top1_acc: 0.4187, top5_acc: 0.6377, mean_class_accuracy: 0.4183
2025-06-04 02:41:35,181 - pyskl - INFO - Epoch [161][100/523] lr: 2.234e-02, eta: 9:30:44, time: 0.682, data_time: 0.256, memory: 7964, top1_acc: 0.8666, top5_acc: 0.9859, loss_cls: 3.1801, loss: 3.1801
2025-06-04 02:42:19,409 - pyskl - INFO - Epoch [161][200/523] lr: 2.229e-02, eta: 9:29:55, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.8516, top5_acc: 0.9894, loss_cls: 3.2769, loss: 3.2769
2025-06-04 02:43:03,738 - pyskl - INFO - Epoch [161][300/523] lr: 2.224e-02, eta: 9:29:06, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.8469, top5_acc: 0.9850, loss_cls: 3.3853, loss: 3.3853
2025-06-04 02:43:47,135 - pyskl - INFO - Epoch [161][400/523] lr: 2.219e-02, eta: 9:28:16, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.8359, top5_acc: 0.9828, loss_cls: 3.3574, loss: 3.3574
2025-06-04 02:44:30,505 - pyskl - INFO - Epoch [161][500/523] lr: 2.214e-02, eta: 9:27:26, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.8384, top5_acc: 0.9825, loss_cls: 3.3660, loss: 3.3660
2025-06-04 02:44:41,328 - pyskl - INFO - Saving checkpoint at 161 epochs
2025-06-04 02:45:09,412 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 02:45:09,480 - pyskl - INFO -
top1_acc 0.4146
top5_acc 0.6342
2025-06-04 02:45:09,481 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 02:45:09,488 - pyskl - INFO -
mean_acc 0.4139
2025-06-04 02:45:09,489 - pyskl - INFO - Epoch(val) [161][198] top1_acc: 0.4146, top5_acc: 0.6342, mean_class_accuracy: 0.4139
2025-06-04 02:46:17,169 - pyskl - INFO - Epoch [162][100/523] lr: 2.208e-02, eta: 9:26:37, time: 0.677, data_time: 0.254, memory: 7964, top1_acc: 0.8697, top5_acc: 0.9894, loss_cls: 3.1263, loss: 3.1263
2025-06-04 02:47:01,187 - pyskl - INFO - Epoch [162][200/523] lr: 2.203e-02, eta: 9:25:48, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.8575, top5_acc: 0.9853, loss_cls: 3.1938, loss: 3.1938
2025-06-04 02:47:45,277 - pyskl - INFO - Epoch [162][300/523] lr: 2.198e-02, eta: 9:24:59, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.8581, top5_acc: 0.9859, loss_cls: 3.3602, loss: 3.3602
2025-06-04 02:48:29,444 - pyskl - INFO - Epoch [162][400/523] lr: 2.193e-02, eta: 9:24:10, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.8394, top5_acc: 0.9828, loss_cls: 3.4441, loss: 3.4441
2025-06-04 02:49:13,722 - pyskl - INFO - Epoch [162][500/523] lr: 2.188e-02, eta: 9:23:21, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.8428, top5_acc: 0.9862, loss_cls: 3.3434, loss: 3.3434
2025-06-04 02:49:24,571 - pyskl - INFO - Saving checkpoint at 162 epochs
2025-06-04 02:49:52,804 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 02:49:52,875 - pyskl - INFO -
top1_acc 0.4213
top5_acc 0.6382
2025-06-04 02:49:52,875 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 02:49:52,883 - pyskl - INFO -
mean_acc 0.4213
2025-06-04 02:49:52,944 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/k_2/best_top1_acc_epoch_160.pth was removed
2025-06-04 02:49:54,474 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_162.pth.
2025-06-04 02:49:54,475 - pyskl - INFO - Best top1_acc is 0.4213 at 162 epoch.
2025-06-04 02:49:54,478 - pyskl - INFO - Epoch(val) [162][198] top1_acc: 0.4213, top5_acc: 0.6382, mean_class_accuracy: 0.4213
2025-06-04 02:51:02,990 - pyskl - INFO - Epoch [163][100/523] lr: 2.182e-02, eta: 9:22:33, time: 0.685, data_time: 0.256, memory: 7964, top1_acc: 0.8669, top5_acc: 0.9906, loss_cls: 3.3121, loss: 3.3121
2025-06-04 02:51:47,078 - pyskl - INFO - Epoch [163][200/523] lr: 2.177e-02, eta: 9:21:43, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.8616, top5_acc: 0.9894, loss_cls: 3.3056, loss: 3.3056
2025-06-04 02:52:31,369 - pyskl - INFO - Epoch [163][300/523] lr: 2.172e-02, eta: 9:20:54, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.8491, top5_acc: 0.9859, loss_cls: 3.2144, loss: 3.2144
2025-06-04 02:53:15,847 - pyskl - INFO - Epoch [163][400/523] lr: 2.167e-02, eta: 9:20:06, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.8450, top5_acc: 0.9850, loss_cls: 3.3709, loss: 3.3709
2025-06-04 02:54:00,088 - pyskl - INFO - Epoch [163][500/523] lr: 2.162e-02, eta: 9:19:17, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.8384, top5_acc: 0.9831, loss_cls: 3.3247, loss: 3.3247
2025-06-04 02:54:10,912 - pyskl - INFO - Saving checkpoint at 163 epochs
2025-06-04 02:54:39,083 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 02:54:39,152 - pyskl - INFO -
top1_acc 0.4143
top5_acc 0.6325
2025-06-04 02:54:39,152 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 02:54:39,159 - pyskl - INFO -
mean_acc 0.4137
2025-06-04 02:54:39,160 - pyskl - INFO - Epoch(val) [163][198] top1_acc: 0.4143, top5_acc: 0.6325, mean_class_accuracy: 0.4137
2025-06-04 02:55:47,073 - pyskl - INFO - Epoch [164][100/523] lr: 2.156e-02, eta: 9:18:28, time: 0.679, data_time: 0.255, memory: 7964, top1_acc: 0.8781, top5_acc: 0.9922, loss_cls: 3.2226, loss: 3.2226
2025-06-04 02:56:31,339 - pyskl - INFO - Epoch [164][200/523] lr: 2.151e-02, eta: 9:17:39, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.8738, top5_acc: 0.9903, loss_cls: 3.1491, loss: 3.1491
2025-06-04 02:57:15,686 - pyskl - INFO - Epoch [164][300/523] lr: 2.146e-02, eta: 9:16:50, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.8556, top5_acc: 0.9856, loss_cls: 3.3372, loss: 3.3372
2025-06-04 02:57:58,761 - pyskl - INFO - Epoch [164][400/523] lr: 2.141e-02, eta: 9:16:00, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.8497, top5_acc: 0.9853, loss_cls: 3.3632, loss: 3.3632
2025-06-04 02:58:43,010 - pyskl - INFO - Epoch [164][500/523] lr: 2.136e-02, eta: 9:15:11, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.8384, top5_acc: 0.9859, loss_cls: 3.3499, loss: 3.3499
2025-06-04 02:58:53,902 - pyskl - INFO - Saving checkpoint at 164 epochs
2025-06-04 02:59:22,082 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 02:59:22,151 - pyskl - INFO -
top1_acc 0.4162
top5_acc 0.6429
2025-06-04 02:59:22,151 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 02:59:22,159 - pyskl - INFO -
mean_acc 0.4178
2025-06-04 02:59:22,160 - pyskl - INFO - Epoch(val) [164][198] top1_acc: 0.4162, top5_acc: 0.6429, mean_class_accuracy: 0.4178
2025-06-04 03:00:31,849 - pyskl - INFO - Epoch [165][100/523] lr: 2.130e-02, eta: 9:14:23, time: 0.697, data_time: 0.257, memory: 7964, top1_acc: 0.8841, top5_acc: 0.9894, loss_cls: 3.1523, loss: 3.1523
2025-06-04 03:01:16,278 - pyskl - INFO - Epoch [165][200/523] lr: 2.125e-02, eta: 9:13:35, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.8634, top5_acc: 0.9856, loss_cls: 3.2105, loss: 3.2105
2025-06-04 03:01:59,919 - pyskl - INFO - Epoch [165][300/523] lr: 2.120e-02, eta: 9:12:45, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.8525, top5_acc: 0.9869, loss_cls: 3.2948, loss: 3.2948
2025-06-04 03:02:42,848 - pyskl - INFO - Epoch [165][400/523] lr: 2.115e-02, eta: 9:11:55, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.8538, top5_acc: 0.9903, loss_cls: 3.3481, loss: 3.3481
2025-06-04 03:03:27,223 - pyskl - INFO - Epoch [165][500/523] lr: 2.110e-02, eta: 9:11:06, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.8434, top5_acc: 0.9825, loss_cls: 3.3708, loss: 3.3708
2025-06-04 03:03:38,092 - pyskl - INFO - Saving checkpoint at 165 epochs
2025-06-04 03:04:06,355 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 03:04:06,423 - pyskl - INFO -
top1_acc 0.3965
top5_acc 0.6301
2025-06-04 03:04:06,424 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 03:04:06,430 - pyskl - INFO -
mean_acc 0.3959
2025-06-04 03:04:06,432 - pyskl - INFO - Epoch(val) [165][198] top1_acc: 0.3965, top5_acc: 0.6301, mean_class_accuracy: 0.3959
2025-06-04 03:05:15,592 - pyskl - INFO - Epoch [166][100/523] lr: 2.104e-02, eta: 9:10:18, time: 0.692, data_time: 0.262, memory: 7964, top1_acc: 0.8759, top5_acc: 0.9897, loss_cls: 3.2004, loss: 3.2004
2025-06-04 03:05:59,834 - pyskl - INFO - Epoch [166][200/523] lr: 2.099e-02, eta: 9:09:29, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.8775, top5_acc: 0.9922, loss_cls: 3.2268, loss: 3.2268
2025-06-04 03:06:43,906 - pyskl - INFO - Epoch [166][300/523] lr: 2.094e-02, eta: 9:08:40, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.8606, top5_acc: 0.9906, loss_cls: 3.2532, loss: 3.2532
2025-06-04 03:07:28,011 - pyskl - INFO - Epoch [166][400/523] lr: 2.089e-02, eta: 9:07:51, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.8475, top5_acc: 0.9847, loss_cls: 3.2738, loss: 3.2738
2025-06-04 03:08:12,186 - pyskl - INFO - Epoch [166][500/523] lr: 2.084e-02, eta: 9:07:02, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.8406, top5_acc: 0.9853, loss_cls: 3.3502, loss: 3.3502
2025-06-04 03:08:22,961 - pyskl - INFO - Saving checkpoint at 166 epochs
2025-06-04 03:08:51,029 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 03:08:51,097 - pyskl - INFO -
top1_acc 0.4026
top5_acc 0.6290
2025-06-04 03:08:51,098 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 03:08:51,104 - pyskl - INFO -
mean_acc 0.4040
2025-06-04 03:08:51,105 - pyskl - INFO - Epoch(val) [166][198] top1_acc: 0.4026, top5_acc: 0.6290, mean_class_accuracy: 0.4040
2025-06-04 03:10:00,871 - pyskl - INFO - Epoch [167][100/523] lr: 2.078e-02, eta: 9:06:14, time: 0.698, data_time: 0.256, memory: 7964, top1_acc: 0.8847, top5_acc: 0.9928, loss_cls: 3.1928, loss: 3.1928
2025-06-04 03:10:44,905 - pyskl - INFO - Epoch [167][200/523] lr: 2.073e-02, eta: 9:05:25, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.8669, top5_acc: 0.9938, loss_cls: 3.2446, loss: 3.2446
2025-06-04 03:11:28,789 - pyskl - INFO - Epoch [167][300/523] lr: 2.068e-02, eta: 9:04:36, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.8622, top5_acc: 0.9894, loss_cls: 3.1639, loss: 3.1639
2025-06-04 03:12:13,000 - pyskl - INFO - Epoch [167][400/523] lr: 2.063e-02, eta: 9:03:47, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.8509, top5_acc: 0.9878, loss_cls: 3.3125, loss: 3.3125
2025-06-04 03:12:57,326 - pyskl - INFO - Epoch [167][500/523] lr: 2.058e-02, eta: 9:02:58, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.8422, top5_acc: 0.9866, loss_cls: 3.3779, loss: 3.3779
2025-06-04 03:13:08,226 - pyskl - INFO - Saving checkpoint at 167 epochs
2025-06-04 03:13:36,558 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 03:13:36,629 - pyskl - INFO -
top1_acc 0.4329
top5_acc 0.6406
2025-06-04 03:13:36,629 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 03:13:36,636 - pyskl - INFO -
mean_acc 0.4329
2025-06-04 03:13:36,698 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/k_2/best_top1_acc_epoch_162.pth was removed
2025-06-04 03:13:38,309 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_167.pth.
2025-06-04 03:13:38,311 - pyskl - INFO - Best top1_acc is 0.4329 at 167 epoch.
2025-06-04 03:13:38,313 - pyskl - INFO - Epoch(val) [167][198] top1_acc: 0.4329, top5_acc: 0.6406, mean_class_accuracy: 0.4329
2025-06-04 03:14:47,228 - pyskl - INFO - Epoch [168][100/523] lr: 2.052e-02, eta: 9:02:10, time: 0.689, data_time: 0.257, memory: 7964, top1_acc: 0.8862, top5_acc: 0.9919, loss_cls: 3.1330, loss: 3.1330
2025-06-04 03:15:31,611 - pyskl - INFO - Epoch [168][200/523] lr: 2.047e-02, eta: 9:01:21, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.8728, top5_acc: 0.9916, loss_cls: 3.1888, loss: 3.1888
2025-06-04 03:16:16,231 - pyskl - INFO - Epoch [168][300/523] lr: 2.043e-02, eta: 9:00:32, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.8644, top5_acc: 0.9906, loss_cls: 3.1898, loss: 3.1898
2025-06-04 03:17:00,878 - pyskl - INFO - Epoch [168][400/523] lr: 2.038e-02, eta: 8:59:44, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.8506, top5_acc: 0.9878, loss_cls: 3.3251, loss: 3.3251
2025-06-04 03:17:45,636 - pyskl - INFO - Epoch [168][500/523] lr: 2.033e-02, eta: 8:58:55, time: 0.448, data_time: 0.000, memory: 7964, top1_acc: 0.8566, top5_acc: 0.9856, loss_cls: 3.3648, loss: 3.3648
2025-06-04 03:17:56,567 - pyskl - INFO - Saving checkpoint at 168 epochs
2025-06-04 03:18:24,924 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 03:18:24,995 - pyskl - INFO -
top1_acc 0.4067
top5_acc 0.6322
2025-06-04 03:18:24,995 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 03:18:25,005 - pyskl - INFO -
mean_acc 0.4080
2025-06-04 03:18:25,007 - pyskl - INFO - Epoch(val) [168][198] top1_acc: 0.4067, top5_acc: 0.6322, mean_class_accuracy: 0.4080
2025-06-04 03:19:35,700 - pyskl - INFO - Epoch [169][100/523] lr: 2.027e-02, eta: 8:58:08, time: 0.707, data_time: 0.264, memory: 7964, top1_acc: 0.8816, top5_acc: 0.9938, loss_cls: 3.1714, loss: 3.1714
2025-06-04 03:20:20,132 - pyskl - INFO - Epoch [169][200/523] lr: 2.022e-02, eta: 8:57:19, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.8769, top5_acc: 0.9909, loss_cls: 3.1333, loss: 3.1333
2025-06-04 03:21:03,986 - pyskl - INFO - Epoch [169][300/523] lr: 2.017e-02, eta: 8:56:30, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.8688, top5_acc: 0.9894, loss_cls: 3.2396, loss: 3.2396
2025-06-04 03:21:47,999 - pyskl - INFO - Epoch [169][400/523] lr: 2.012e-02, eta: 8:55:41, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.8606, top5_acc: 0.9900, loss_cls: 3.2352, loss: 3.2352
2025-06-04 03:22:31,975 - pyskl - INFO - Epoch [169][500/523] lr: 2.007e-02, eta: 8:54:52, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.8466, top5_acc: 0.9828, loss_cls: 3.3196, loss: 3.3196
2025-06-04 03:22:42,762 - pyskl - INFO - Saving checkpoint at 169 epochs
2025-06-04 03:23:10,953 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 03:23:11,018 - pyskl - INFO -
top1_acc 0.4189
top5_acc 0.6274
2025-06-04 03:23:11,018 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 03:23:11,024 - pyskl - INFO -
mean_acc 0.4192
2025-06-04 03:23:11,026 - pyskl - INFO - Epoch(val) [169][198] top1_acc: 0.4189, top5_acc: 0.6274, mean_class_accuracy: 0.4192
2025-06-04 03:24:19,628 - pyskl - INFO - Epoch [170][100/523] lr: 2.001e-02, eta: 8:54:03, time: 0.686, data_time: 0.256, memory: 7964, top1_acc: 0.8888, top5_acc: 0.9912, loss_cls: 3.1988, loss: 3.1988
2025-06-04 03:25:03,990 - pyskl - INFO - Epoch [170][200/523] lr: 1.996e-02, eta: 8:53:14, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.8844, top5_acc: 0.9928, loss_cls: 3.1311, loss: 3.1311
2025-06-04 03:25:48,354 - pyskl - INFO - Epoch [170][300/523] lr: 1.991e-02, eta: 8:52:25, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.8750, top5_acc: 0.9888, loss_cls: 3.1874, loss: 3.1874
2025-06-04 03:26:32,317 - pyskl - INFO - Epoch [170][400/523] lr: 1.986e-02, eta: 8:51:36, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.8566, top5_acc: 0.9881, loss_cls: 3.2925, loss: 3.2925
2025-06-04 03:27:16,499 - pyskl - INFO - Epoch [170][500/523] lr: 1.981e-02, eta: 8:50:48, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.8569, top5_acc: 0.9916, loss_cls: 3.2184, loss: 3.2184
2025-06-04 03:27:27,313 - pyskl - INFO - Saving checkpoint at 170 epochs
2025-06-04 03:27:55,558 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 03:27:55,626 - pyskl - INFO -
top1_acc 0.4222
top5_acc 0.6439
2025-06-04 03:27:55,626 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 03:27:55,634 - pyskl - INFO -
mean_acc 0.4232
2025-06-04 03:27:55,635 - pyskl - INFO - Epoch(val) [170][198] top1_acc: 0.4222, top5_acc: 0.6439, mean_class_accuracy: 0.4232
2025-06-04 03:29:03,535 - pyskl - INFO - Epoch [171][100/523] lr: 1.975e-02, eta: 8:49:58, time: 0.679, data_time: 0.255, memory: 7964, top1_acc: 0.8903, top5_acc: 0.9912, loss_cls: 3.1883, loss: 3.1883
2025-06-04 03:29:47,778 - pyskl - INFO - Epoch [171][200/523] lr: 1.970e-02, eta: 8:49:09, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.8706, top5_acc: 0.9903, loss_cls: 3.2047, loss: 3.2047
2025-06-04 03:30:30,684 - pyskl - INFO - Epoch [171][300/523] lr: 1.966e-02, eta: 8:48:19, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.8556, top5_acc: 0.9903, loss_cls: 3.3254, loss: 3.3254
2025-06-04 03:31:14,819 - pyskl - INFO - Epoch [171][400/523] lr: 1.961e-02, eta: 8:47:30, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.8628, top5_acc: 0.9866, loss_cls: 3.2985, loss: 3.2985
2025-06-04 03:31:59,133 - pyskl - INFO - Epoch [171][500/523] lr: 1.956e-02, eta: 8:46:42, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.8403, top5_acc: 0.9872, loss_cls: 3.2190, loss: 3.2190
2025-06-04 03:32:09,997 - pyskl - INFO - Saving checkpoint at 171 epochs
2025-06-04 03:32:38,554 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 03:32:38,624 - pyskl - INFO -
top1_acc 0.4126
top5_acc 0.6364
2025-06-04 03:32:38,624 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 03:32:38,632 - pyskl - INFO -
mean_acc 0.4125
2025-06-04 03:32:38,635 - pyskl - INFO - Epoch(val) [171][198] top1_acc: 0.4126, top5_acc: 0.6364, mean_class_accuracy: 0.4125
2025-06-04 03:33:47,351 - pyskl - INFO - Epoch [172][100/523] lr: 1.950e-02, eta: 8:45:52, time: 0.687, data_time: 0.257, memory: 7964, top1_acc: 0.8900, top5_acc: 0.9916, loss_cls: 3.1413, loss: 3.1413
2025-06-04 03:34:31,368 - pyskl - INFO - Epoch [172][200/523] lr: 1.945e-02, eta: 8:45:03, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.8797, top5_acc: 0.9903, loss_cls: 3.0623, loss: 3.0623
2025-06-04 03:35:13,647 - pyskl - INFO - Epoch [172][300/523] lr: 1.940e-02, eta: 8:44:13, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 0.8809, top5_acc: 0.9934, loss_cls: 3.0475, loss: 3.0475
2025-06-04 03:35:57,475 - pyskl - INFO - Epoch [172][400/523] lr: 1.935e-02, eta: 8:43:24, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.8791, top5_acc: 0.9916, loss_cls: 3.1465, loss: 3.1465
2025-06-04 03:36:41,822 - pyskl - INFO - Epoch [172][500/523] lr: 1.930e-02, eta: 8:42:35, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.8531, top5_acc: 0.9897, loss_cls: 3.2713, loss: 3.2713
2025-06-04 03:36:52,644 - pyskl - INFO - Saving checkpoint at 172 epochs
2025-06-04 03:37:20,824 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 03:37:20,891 - pyskl - INFO -
top1_acc 0.4122
top5_acc 0.6334
2025-06-04 03:37:20,891 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 03:37:20,901 - pyskl - INFO -
mean_acc 0.4125
2025-06-04 03:37:20,903 - pyskl - INFO - Epoch(val) [172][198] top1_acc: 0.4122, top5_acc: 0.6334, mean_class_accuracy: 0.4125
2025-06-04 03:38:30,981 - pyskl - INFO - Epoch [173][100/523] lr: 1.924e-02, eta: 8:41:47, time: 0.701, data_time: 0.262, memory: 7964, top1_acc: 0.9012, top5_acc: 0.9944, loss_cls: 3.0441, loss: 3.0441
2025-06-04 03:39:15,064 - pyskl - INFO - Epoch [173][200/523] lr: 1.919e-02, eta: 8:40:58, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.8916, top5_acc: 0.9944, loss_cls: 3.0826, loss: 3.0826
2025-06-04 03:39:59,387 - pyskl - INFO - Epoch [173][300/523] lr: 1.915e-02, eta: 8:40:10, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.8734, top5_acc: 0.9909, loss_cls: 3.1949, loss: 3.1949
2025-06-04 03:40:43,550 - pyskl - INFO - Epoch [173][400/523] lr: 1.910e-02, eta: 8:39:21, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.8656, top5_acc: 0.9881, loss_cls: 3.1342, loss: 3.1342
2025-06-04 03:41:27,867 - pyskl - INFO - Epoch [173][500/523] lr: 1.905e-02, eta: 8:38:32, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.8522, top5_acc: 0.9891, loss_cls: 3.3195, loss: 3.3195
2025-06-04 03:41:38,828 - pyskl - INFO - Saving checkpoint at 173 epochs
2025-06-04 03:42:07,021 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 03:42:07,090 - pyskl - INFO -
top1_acc 0.4183
top5_acc 0.6323
2025-06-04 03:42:07,091 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 03:42:07,099 - pyskl - INFO -
mean_acc 0.4182
2025-06-04 03:42:07,100 - pyskl - INFO - Epoch(val) [173][198] top1_acc: 0.4183, top5_acc: 0.6323, mean_class_accuracy: 0.4182
2025-06-04 03:43:17,157 - pyskl - INFO - Epoch [174][100/523] lr: 1.899e-02, eta: 8:37:44, time: 0.701, data_time: 0.261, memory: 7964, top1_acc: 0.8981, top5_acc: 0.9947, loss_cls: 3.0731, loss: 3.0731
2025-06-04 03:44:01,799 - pyskl - INFO - Epoch [174][200/523] lr: 1.894e-02, eta: 8:36:55, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.8866, top5_acc: 0.9941, loss_cls: 3.0052, loss: 3.0052
2025-06-04 03:44:45,957 - pyskl - INFO - Epoch [174][300/523] lr: 1.889e-02, eta: 8:36:06, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.8775, top5_acc: 0.9928, loss_cls: 3.1232, loss: 3.1232
2025-06-04 03:45:30,000 - pyskl - INFO - Epoch [174][400/523] lr: 1.884e-02, eta: 8:35:18, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.8681, top5_acc: 0.9922, loss_cls: 3.1643, loss: 3.1643
2025-06-04 03:46:14,305 - pyskl - INFO - Epoch [174][500/523] lr: 1.879e-02, eta: 8:34:29, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.8631, top5_acc: 0.9838, loss_cls: 3.2816, loss: 3.2816
2025-06-04 03:46:25,153 - pyskl - INFO - Saving checkpoint at 174 epochs
2025-06-04 03:46:53,383 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 03:46:53,452 - pyskl - INFO -
top1_acc 0.4153
top5_acc 0.6331
2025-06-04 03:46:53,452 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 03:46:53,460 - pyskl - INFO -
mean_acc 0.4167
2025-06-04 03:46:53,462 - pyskl - INFO - Epoch(val) [174][198] top1_acc: 0.4153, top5_acc: 0.6331, mean_class_accuracy: 0.4167
2025-06-04 03:48:03,576 - pyskl - INFO - Epoch [175][100/523] lr: 1.873e-02, eta: 8:33:40, time: 0.701, data_time: 0.261, memory: 7964, top1_acc: 0.9047, top5_acc: 0.9966, loss_cls: 2.8710, loss: 2.8710
2025-06-04 03:48:47,032 - pyskl - INFO - Epoch [175][200/523] lr: 1.869e-02, eta: 8:32:51, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.8931, top5_acc: 0.9928, loss_cls: 3.0575, loss: 3.0575
2025-06-04 03:49:29,055 - pyskl - INFO - Epoch [175][300/523] lr: 1.864e-02, eta: 8:32:01, time: 0.420, data_time: 0.000, memory: 7964, top1_acc: 0.8769, top5_acc: 0.9931, loss_cls: 3.1298, loss: 3.1298
2025-06-04 03:50:10,848 - pyskl - INFO - Epoch [175][400/523] lr: 1.859e-02, eta: 8:31:10, time: 0.418, data_time: 0.000, memory: 7964, top1_acc: 0.8772, top5_acc: 0.9909, loss_cls: 3.0141, loss: 3.0141
2025-06-04 03:50:52,728 - pyskl - INFO - Epoch [175][500/523] lr: 1.854e-02, eta: 8:30:20, time: 0.419, data_time: 0.000, memory: 7964, top1_acc: 0.8675, top5_acc: 0.9884, loss_cls: 3.1722, loss: 3.1722
2025-06-04 03:51:03,081 - pyskl - INFO - Saving checkpoint at 175 epochs
2025-06-04 03:51:31,338 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 03:51:31,411 - pyskl - INFO -
top1_acc 0.4199
top5_acc 0.6428
2025-06-04 03:51:31,411 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 03:51:31,419 - pyskl - INFO -
mean_acc 0.4218
2025-06-04 03:51:31,420 - pyskl - INFO - Epoch(val) [175][198] top1_acc: 0.4199, top5_acc: 0.6428, mean_class_accuracy: 0.4218
2025-06-04 03:52:40,923 - pyskl - INFO - Epoch [176][100/523] lr: 1.848e-02, eta: 8:29:31, time: 0.695, data_time: 0.258, memory: 7964, top1_acc: 0.9153, top5_acc: 0.9959, loss_cls: 2.9547, loss: 2.9547
2025-06-04 03:53:24,273 - pyskl - INFO - Epoch [176][200/523] lr: 1.843e-02, eta: 8:28:41, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.8994, top5_acc: 0.9916, loss_cls: 3.0703, loss: 3.0703
2025-06-04 03:54:07,350 - pyskl - INFO - Epoch [176][300/523] lr: 1.839e-02, eta: 8:27:52, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.8903, top5_acc: 0.9934, loss_cls: 3.1092, loss: 3.1092
2025-06-04 03:54:50,930 - pyskl - INFO - Epoch [176][400/523] lr: 1.834e-02, eta: 8:27:03, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.8762, top5_acc: 0.9934, loss_cls: 3.1444, loss: 3.1444
2025-06-04 03:55:34,746 - pyskl - INFO - Epoch [176][500/523] lr: 1.829e-02, eta: 8:26:14, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.8666, top5_acc: 0.9916, loss_cls: 3.2050, loss: 3.2050
2025-06-04 03:55:45,493 - pyskl - INFO - Saving checkpoint at 176 epochs
2025-06-04 03:56:13,862 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 03:56:13,934 - pyskl - INFO -
top1_acc 0.4003
top5_acc 0.6261
2025-06-04 03:56:13,934 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 03:56:13,943 - pyskl - INFO -
mean_acc 0.4017
2025-06-04 03:56:13,944 - pyskl - INFO - Epoch(val) [176][198] top1_acc: 0.4003, top5_acc: 0.6261, mean_class_accuracy: 0.4017
2025-06-04 03:57:23,858 - pyskl - INFO - Epoch [177][100/523] lr: 1.823e-02, eta: 8:25:25, time: 0.699, data_time: 0.258, memory: 7964, top1_acc: 0.9100, top5_acc: 0.9944, loss_cls: 3.0361, loss: 3.0361
2025-06-04 03:58:08,315 - pyskl - INFO - Epoch [177][200/523] lr: 1.818e-02, eta: 8:24:36, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.8950, top5_acc: 0.9944, loss_cls: 2.9790, loss: 2.9790
2025-06-04 03:58:52,282 - pyskl - INFO - Epoch [177][300/523] lr: 1.813e-02, eta: 8:23:48, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.8900, top5_acc: 0.9944, loss_cls: 2.9649, loss: 2.9649
2025-06-04 03:59:36,227 - pyskl - INFO - Epoch [177][400/523] lr: 1.808e-02, eta: 8:22:59, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.8738, top5_acc: 0.9928, loss_cls: 3.1903, loss: 3.1903
2025-06-04 04:00:20,544 - pyskl - INFO - Epoch [177][500/523] lr: 1.804e-02, eta: 8:22:10, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.8775, top5_acc: 0.9919, loss_cls: 3.1848, loss: 3.1848
2025-06-04 04:00:31,420 - pyskl - INFO - Saving checkpoint at 177 epochs
2025-06-04 04:00:59,588 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 04:00:59,658 - pyskl - INFO -
top1_acc 0.4181
top5_acc 0.6456
2025-06-04 04:00:59,658 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 04:00:59,666 - pyskl - INFO -
mean_acc 0.4185
2025-06-04 04:00:59,667 - pyskl - INFO - Epoch(val) [177][198] top1_acc: 0.4181, top5_acc: 0.6456, mean_class_accuracy: 0.4185
2025-06-04 04:02:09,865 - pyskl - INFO - Epoch [178][100/523] lr: 1.798e-02, eta: 8:21:21, time: 0.702, data_time: 0.262, memory: 7964, top1_acc: 0.9144, top5_acc: 0.9928, loss_cls: 2.9669, loss: 2.9669
2025-06-04 04:02:54,295 - pyskl - INFO - Epoch [178][200/523] lr: 1.793e-02, eta: 8:20:33, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9062, top5_acc: 0.9959, loss_cls: 3.0211, loss: 3.0211
2025-06-04 04:03:38,512 - pyskl - INFO - Epoch [178][300/523] lr: 1.788e-02, eta: 8:19:44, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.8831, top5_acc: 0.9916, loss_cls: 3.0226, loss: 3.0226
2025-06-04 04:04:22,846 - pyskl - INFO - Epoch [178][400/523] lr: 1.783e-02, eta: 8:18:56, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.8869, top5_acc: 0.9925, loss_cls: 3.0762, loss: 3.0762
2025-06-04 04:05:06,964 - pyskl - INFO - Epoch [178][500/523] lr: 1.779e-02, eta: 8:18:07, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.8750, top5_acc: 0.9900, loss_cls: 3.1551, loss: 3.1551
2025-06-04 04:05:17,816 - pyskl - INFO - Saving checkpoint at 178 epochs
2025-06-04 04:05:45,993 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 04:05:46,062 - pyskl - INFO -
top1_acc 0.4075
top5_acc 0.6276
2025-06-04 04:05:46,062 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 04:05:46,070 - pyskl - INFO -
mean_acc 0.4078
2025-06-04 04:05:46,071 - pyskl - INFO - Epoch(val) [178][198] top1_acc: 0.4075, top5_acc: 0.6276, mean_class_accuracy: 0.4078
2025-06-04 04:06:55,886 - pyskl - INFO - Epoch [179][100/523] lr: 1.773e-02, eta: 8:17:18, time: 0.698, data_time: 0.260, memory: 7964, top1_acc: 0.9103, top5_acc: 0.9975, loss_cls: 2.9361, loss: 2.9361
2025-06-04 04:07:40,134 - pyskl - INFO - Epoch [179][200/523] lr: 1.768e-02, eta: 8:16:29, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.8925, top5_acc: 0.9938, loss_cls: 3.0512, loss: 3.0512
2025-06-04 04:08:24,651 - pyskl - INFO - Epoch [179][300/523] lr: 1.763e-02, eta: 8:15:41, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.8853, top5_acc: 0.9941, loss_cls: 3.0540, loss: 3.0540
2025-06-04 04:09:09,102 - pyskl - INFO - Epoch [179][400/523] lr: 1.758e-02, eta: 8:14:52, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.8738, top5_acc: 0.9919, loss_cls: 3.0915, loss: 3.0915
2025-06-04 04:09:53,613 - pyskl - INFO - Epoch [179][500/523] lr: 1.754e-02, eta: 8:14:04, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.8744, top5_acc: 0.9931, loss_cls: 3.2045, loss: 3.2045
2025-06-04 04:10:04,485 - pyskl - INFO - Saving checkpoint at 179 epochs
2025-06-04 04:10:32,685 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 04:10:32,750 - pyskl - INFO -
top1_acc 0.4199
top5_acc 0.6393
2025-06-04 04:10:32,750 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 04:10:32,757 - pyskl - INFO -
mean_acc 0.4202
2025-06-04 04:10:32,758 - pyskl - INFO - Epoch(val) [179][198] top1_acc: 0.4199, top5_acc: 0.6393, mean_class_accuracy: 0.4202
2025-06-04 04:11:41,787 - pyskl - INFO - Epoch [180][100/523] lr: 1.748e-02, eta: 8:13:14, time: 0.690, data_time: 0.253, memory: 7964, top1_acc: 0.8972, top5_acc: 0.9956, loss_cls: 3.0243, loss: 3.0243
2025-06-04 04:12:25,234 - pyskl - INFO - Epoch [180][200/523] lr: 1.743e-02, eta: 8:12:25, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.8997, top5_acc: 0.9941, loss_cls: 2.9691, loss: 2.9691
2025-06-04 04:13:09,469 - pyskl - INFO - Epoch [180][300/523] lr: 1.738e-02, eta: 8:11:36, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.8844, top5_acc: 0.9912, loss_cls: 3.1186, loss: 3.1186
2025-06-04 04:13:53,870 - pyskl - INFO - Epoch [180][400/523] lr: 1.733e-02, eta: 8:10:48, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.8956, top5_acc: 0.9950, loss_cls: 3.0339, loss: 3.0339
2025-06-04 04:14:38,051 - pyskl - INFO - Epoch [180][500/523] lr: 1.729e-02, eta: 8:09:59, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.8766, top5_acc: 0.9922, loss_cls: 3.0909, loss: 3.0909
2025-06-04 04:14:48,787 - pyskl - INFO - Saving checkpoint at 180 epochs
2025-06-04 04:15:17,291 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 04:15:17,363 - pyskl - INFO -
top1_acc 0.4111
top5_acc 0.6329
2025-06-04 04:15:17,363 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 04:15:17,373 - pyskl - INFO -
mean_acc 0.4117
2025-06-04 04:15:17,374 - pyskl - INFO - Epoch(val) [180][198] top1_acc: 0.4111, top5_acc: 0.6329, mean_class_accuracy: 0.4117
2025-06-04 04:16:25,966 - pyskl - INFO - Epoch [181][100/523] lr: 1.723e-02, eta: 8:09:09, time: 0.686, data_time: 0.258, memory: 7964, top1_acc: 0.9066, top5_acc: 0.9953, loss_cls: 2.9906, loss: 2.9906
2025-06-04 04:17:08,140 - pyskl - INFO - Epoch [181][200/523] lr: 1.718e-02, eta: 8:08:19, time: 0.422, data_time: 0.000, memory: 7964, top1_acc: 0.9122, top5_acc: 0.9975, loss_cls: 2.8769, loss: 2.8769
2025-06-04 04:17:50,852 - pyskl - INFO - Epoch [181][300/523] lr: 1.713e-02, eta: 8:07:29, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.9006, top5_acc: 0.9938, loss_cls: 2.9296, loss: 2.9296
2025-06-04 04:18:34,839 - pyskl - INFO - Epoch [181][400/523] lr: 1.708e-02, eta: 8:06:41, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.8847, top5_acc: 0.9909, loss_cls: 3.1392, loss: 3.1392
2025-06-04 04:19:18,918 - pyskl - INFO - Epoch [181][500/523] lr: 1.704e-02, eta: 8:05:52, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.8922, top5_acc: 0.9909, loss_cls: 3.0318, loss: 3.0318
2025-06-04 04:19:29,704 - pyskl - INFO - Saving checkpoint at 181 epochs
2025-06-04 04:19:57,932 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 04:19:58,001 - pyskl - INFO -
top1_acc 0.4237
top5_acc 0.6375
2025-06-04 04:19:58,001 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 04:19:58,009 - pyskl - INFO -
mean_acc 0.4232
2025-06-04 04:19:58,011 - pyskl - INFO - Epoch(val) [181][198] top1_acc: 0.4237, top5_acc: 0.6375, mean_class_accuracy: 0.4232
2025-06-04 04:21:06,095 - pyskl - INFO - Epoch [182][100/523] lr: 1.698e-02, eta: 8:05:01, time: 0.681, data_time: 0.255, memory: 7964, top1_acc: 0.9113, top5_acc: 0.9934, loss_cls: 2.9356, loss: 2.9356
2025-06-04 04:21:50,305 - pyskl - INFO - Epoch [182][200/523] lr: 1.693e-02, eta: 8:04:13, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9012, top5_acc: 0.9934, loss_cls: 3.0178, loss: 3.0178
2025-06-04 04:22:34,556 - pyskl - INFO - Epoch [182][300/523] lr: 1.688e-02, eta: 8:03:24, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.8919, top5_acc: 0.9934, loss_cls: 2.9417, loss: 2.9417
2025-06-04 04:23:18,365 - pyskl - INFO - Epoch [182][400/523] lr: 1.684e-02, eta: 8:02:36, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.9038, top5_acc: 0.9950, loss_cls: 3.0444, loss: 3.0444
2025-06-04 04:24:02,366 - pyskl - INFO - Epoch [182][500/523] lr: 1.679e-02, eta: 8:01:47, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.8962, top5_acc: 0.9928, loss_cls: 2.9854, loss: 2.9854
2025-06-04 04:24:13,128 - pyskl - INFO - Saving checkpoint at 182 epochs
2025-06-04 04:24:41,464 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 04:24:41,549 - pyskl - INFO -
top1_acc 0.4184
top5_acc 0.6396
2025-06-04 04:24:41,550 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 04:24:41,558 - pyskl - INFO -
mean_acc 0.4188
2025-06-04 04:24:41,559 - pyskl - INFO - Epoch(val) [182][198] top1_acc: 0.4184, top5_acc: 0.6396, mean_class_accuracy: 0.4188
2025-06-04 04:25:49,824 - pyskl - INFO - Epoch [183][100/523] lr: 1.673e-02, eta: 8:00:56, time: 0.683, data_time: 0.259, memory: 7964, top1_acc: 0.9209, top5_acc: 0.9962, loss_cls: 2.8968, loss: 2.8968
2025-06-04 04:26:33,185 - pyskl - INFO - Epoch [183][200/523] lr: 1.668e-02, eta: 8:00:07, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.9181, top5_acc: 0.9959, loss_cls: 2.9736, loss: 2.9736
2025-06-04 04:27:17,308 - pyskl - INFO - Epoch [183][300/523] lr: 1.664e-02, eta: 7:59:19, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9012, top5_acc: 0.9947, loss_cls: 3.0662, loss: 3.0662
2025-06-04 04:28:01,475 - pyskl - INFO - Epoch [183][400/523] lr: 1.659e-02, eta: 7:58:30, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.8947, top5_acc: 0.9938, loss_cls: 2.8849, loss: 2.8849
2025-06-04 04:28:45,270 - pyskl - INFO - Epoch [183][500/523] lr: 1.654e-02, eta: 7:57:41, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.8884, top5_acc: 0.9934, loss_cls: 3.0556, loss: 3.0556
2025-06-04 04:28:56,002 - pyskl - INFO - Saving checkpoint at 183 epochs
2025-06-04 04:29:24,174 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 04:29:24,243 - pyskl - INFO -
top1_acc 0.4191
top5_acc 0.6445
2025-06-04 04:29:24,243 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 04:29:24,251 - pyskl - INFO -
mean_acc 0.4180
2025-06-04 04:29:24,252 - pyskl - INFO - Epoch(val) [183][198] top1_acc: 0.4191, top5_acc: 0.6445, mean_class_accuracy: 0.4180
2025-06-04 04:30:33,965 - pyskl - INFO - Epoch [184][100/523] lr: 1.648e-02, eta: 7:56:51, time: 0.697, data_time: 0.258, memory: 7964, top1_acc: 0.9141, top5_acc: 0.9966, loss_cls: 2.8911, loss: 2.8911
2025-06-04 04:31:17,903 - pyskl - INFO - Epoch [184][200/523] lr: 1.644e-02, eta: 7:56:03, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9109, top5_acc: 0.9953, loss_cls: 3.0019, loss: 3.0019
2025-06-04 04:32:01,950 - pyskl - INFO - Epoch [184][300/523] lr: 1.639e-02, eta: 7:55:14, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9022, top5_acc: 0.9938, loss_cls: 3.0599, loss: 3.0599
2025-06-04 04:32:46,135 - pyskl - INFO - Epoch [184][400/523] lr: 1.634e-02, eta: 7:54:26, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9053, top5_acc: 0.9941, loss_cls: 3.0285, loss: 3.0285
2025-06-04 04:33:30,331 - pyskl - INFO - Epoch [184][500/523] lr: 1.630e-02, eta: 7:53:37, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.8862, top5_acc: 0.9925, loss_cls: 3.0926, loss: 3.0926
2025-06-04 04:33:41,126 - pyskl - INFO - Saving checkpoint at 184 epochs
2025-06-04 04:34:09,384 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 04:34:09,453 - pyskl - INFO -
top1_acc 0.4203
top5_acc 0.6352
2025-06-04 04:34:09,453 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 04:34:09,461 - pyskl - INFO -
mean_acc 0.4193
2025-06-04 04:34:09,462 - pyskl - INFO - Epoch(val) [184][198] top1_acc: 0.4203, top5_acc: 0.6352, mean_class_accuracy: 0.4193
2025-06-04 04:35:17,607 - pyskl - INFO - Epoch [185][100/523] lr: 1.624e-02, eta: 7:52:46, time: 0.681, data_time: 0.255, memory: 7964, top1_acc: 0.9206, top5_acc: 0.9975, loss_cls: 2.9820, loss: 2.9820
2025-06-04 04:36:01,703 - pyskl - INFO - Epoch [185][200/523] lr: 1.619e-02, eta: 7:51:58, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9122, top5_acc: 0.9972, loss_cls: 2.9758, loss: 2.9758
2025-06-04 04:36:46,028 - pyskl - INFO - Epoch [185][300/523] lr: 1.615e-02, eta: 7:51:09, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9062, top5_acc: 0.9956, loss_cls: 2.9614, loss: 2.9614
2025-06-04 04:37:30,147 - pyskl - INFO - Epoch [185][400/523] lr: 1.610e-02, eta: 7:50:21, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9022, top5_acc: 0.9953, loss_cls: 2.9568, loss: 2.9568
2025-06-04 04:38:14,448 - pyskl - INFO - Epoch [185][500/523] lr: 1.605e-02, eta: 7:49:32, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9012, top5_acc: 0.9959, loss_cls: 3.0625, loss: 3.0625
2025-06-04 04:38:25,217 - pyskl - INFO - Saving checkpoint at 185 epochs
2025-06-04 04:38:53,595 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 04:38:53,665 - pyskl - INFO -
top1_acc 0.4057
top5_acc 0.6161
2025-06-04 04:38:53,665 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 04:38:53,674 - pyskl - INFO -
mean_acc 0.4045
2025-06-04 04:38:53,676 - pyskl - INFO - Epoch(val) [185][198] top1_acc: 0.4057, top5_acc: 0.6161, mean_class_accuracy: 0.4045
2025-06-04 04:40:02,494 - pyskl - INFO - Epoch [186][100/523] lr: 1.599e-02, eta: 7:48:42, time: 0.688, data_time: 0.263, memory: 7964, top1_acc: 0.9122, top5_acc: 0.9953, loss_cls: 2.9582, loss: 2.9582
2025-06-04 04:40:46,805 - pyskl - INFO - Epoch [186][200/523] lr: 1.595e-02, eta: 7:47:53, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9122, top5_acc: 0.9969, loss_cls: 2.9646, loss: 2.9646
2025-06-04 04:41:31,168 - pyskl - INFO - Epoch [186][300/523] lr: 1.590e-02, eta: 7:47:05, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9072, top5_acc: 0.9962, loss_cls: 2.8839, loss: 2.8839
2025-06-04 04:42:15,364 - pyskl - INFO - Epoch [186][400/523] lr: 1.585e-02, eta: 7:46:16, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9050, top5_acc: 0.9928, loss_cls: 2.9421, loss: 2.9421
2025-06-04 04:42:59,461 - pyskl - INFO - Epoch [186][500/523] lr: 1.581e-02, eta: 7:45:28, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.8906, top5_acc: 0.9947, loss_cls: 2.9954, loss: 2.9954
2025-06-04 04:43:10,229 - pyskl - INFO - Saving checkpoint at 186 epochs
2025-06-04 04:43:38,746 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 04:43:38,819 - pyskl - INFO -
top1_acc 0.4175
top5_acc 0.6364
2025-06-04 04:43:38,819 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 04:43:38,828 - pyskl - INFO -
mean_acc 0.4185
2025-06-04 04:43:38,830 - pyskl - INFO - Epoch(val) [186][198] top1_acc: 0.4175, top5_acc: 0.6364, mean_class_accuracy: 0.4185
2025-06-04 04:44:47,780 - pyskl - INFO - Epoch [187][100/523] lr: 1.575e-02, eta: 7:44:37, time: 0.689, data_time: 0.256, memory: 7964, top1_acc: 0.9163, top5_acc: 0.9975, loss_cls: 2.7878, loss: 2.7878
2025-06-04 04:45:32,066 - pyskl - INFO - Epoch [187][200/523] lr: 1.570e-02, eta: 7:43:49, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9087, top5_acc: 0.9962, loss_cls: 2.8415, loss: 2.8415
2025-06-04 04:46:16,299 - pyskl - INFO - Epoch [187][300/523] lr: 1.566e-02, eta: 7:43:00, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9191, top5_acc: 0.9962, loss_cls: 2.8909, loss: 2.8909
2025-06-04 04:47:00,630 - pyskl - INFO - Epoch [187][400/523] lr: 1.561e-02, eta: 7:42:12, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.8984, top5_acc: 0.9956, loss_cls: 3.0183, loss: 3.0183
2025-06-04 04:47:44,989 - pyskl - INFO - Epoch [187][500/523] lr: 1.557e-02, eta: 7:41:24, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.8953, top5_acc: 0.9947, loss_cls: 2.9649, loss: 2.9649
2025-06-04 04:47:55,752 - pyskl - INFO - Saving checkpoint at 187 epochs
2025-06-04 04:48:23,828 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 04:48:23,898 - pyskl - INFO -
top1_acc 0.4178
top5_acc 0.6271
2025-06-04 04:48:23,898 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 04:48:23,907 - pyskl - INFO -
mean_acc 0.4178
2025-06-04 04:48:23,909 - pyskl - INFO - Epoch(val) [187][198] top1_acc: 0.4178, top5_acc: 0.6271, mean_class_accuracy: 0.4178
2025-06-04 04:49:31,998 - pyskl - INFO - Epoch [188][100/523] lr: 1.551e-02, eta: 7:40:33, time: 0.681, data_time: 0.258, memory: 7964, top1_acc: 0.9316, top5_acc: 0.9988, loss_cls: 2.8692, loss: 2.8692
2025-06-04 04:50:15,634 - pyskl - INFO - Epoch [188][200/523] lr: 1.546e-02, eta: 7:39:44, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.9247, top5_acc: 0.9978, loss_cls: 2.9061, loss: 2.9061
2025-06-04 04:50:59,843 - pyskl - INFO - Epoch [188][300/523] lr: 1.542e-02, eta: 7:38:55, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9263, top5_acc: 0.9972, loss_cls: 2.8905, loss: 2.8905
2025-06-04 04:51:43,880 - pyskl - INFO - Epoch [188][400/523] lr: 1.537e-02, eta: 7:38:07, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9147, top5_acc: 0.9959, loss_cls: 2.9127, loss: 2.9127
2025-06-04 04:52:27,975 - pyskl - INFO - Epoch [188][500/523] lr: 1.532e-02, eta: 7:37:18, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.8906, top5_acc: 0.9944, loss_cls: 3.0618, loss: 3.0618
2025-06-04 04:52:38,846 - pyskl - INFO - Saving checkpoint at 188 epochs
2025-06-04 04:53:07,250 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 04:53:07,319 - pyskl - INFO -
top1_acc 0.4206
top5_acc 0.6306
2025-06-04 04:53:07,319 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 04:53:07,328 - pyskl - INFO -
mean_acc 0.4206
2025-06-04 04:53:07,330 - pyskl - INFO - Epoch(val) [188][198] top1_acc: 0.4206, top5_acc: 0.6306, mean_class_accuracy: 0.4206
2025-06-04 04:54:16,824 - pyskl - INFO - Epoch [189][100/523] lr: 1.527e-02, eta: 7:36:28, time: 0.695, data_time: 0.257, memory: 7964, top1_acc: 0.9231, top5_acc: 0.9975, loss_cls: 2.8708, loss: 2.8708
2025-06-04 04:55:00,706 - pyskl - INFO - Epoch [189][200/523] lr: 1.522e-02, eta: 7:35:39, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9197, top5_acc: 0.9956, loss_cls: 2.8408, loss: 2.8408
2025-06-04 04:55:44,633 - pyskl - INFO - Epoch [189][300/523] lr: 1.517e-02, eta: 7:34:51, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9047, top5_acc: 0.9962, loss_cls: 2.9437, loss: 2.9437
2025-06-04 04:56:28,754 - pyskl - INFO - Epoch [189][400/523] lr: 1.513e-02, eta: 7:34:02, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9169, top5_acc: 0.9966, loss_cls: 2.8931, loss: 2.8931
2025-06-04 04:57:12,551 - pyskl - INFO - Epoch [189][500/523] lr: 1.508e-02, eta: 7:33:14, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.9163, top5_acc: 0.9956, loss_cls: 2.9216, loss: 2.9216
2025-06-04 04:57:23,305 - pyskl - INFO - Saving checkpoint at 189 epochs
2025-06-04 04:57:51,677 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 04:57:51,749 - pyskl - INFO -
top1_acc 0.4270
top5_acc 0.6463
2025-06-04 04:57:51,749 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 04:57:51,758 - pyskl - INFO -
mean_acc 0.4271
2025-06-04 04:57:51,761 - pyskl - INFO - Epoch(val) [189][198] top1_acc: 0.4270, top5_acc: 0.6463, mean_class_accuracy: 0.4271
2025-06-04 04:59:02,031 - pyskl - INFO - Epoch [190][100/523] lr: 1.503e-02, eta: 7:32:24, time: 0.703, data_time: 0.258, memory: 7964, top1_acc: 0.9431, top5_acc: 0.9969, loss_cls: 2.7850, loss: 2.7850
2025-06-04 04:59:46,278 - pyskl - INFO - Epoch [190][200/523] lr: 1.498e-02, eta: 7:31:35, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9313, top5_acc: 0.9984, loss_cls: 2.8509, loss: 2.8509
2025-06-04 05:00:30,647 - pyskl - INFO - Epoch [190][300/523] lr: 1.493e-02, eta: 7:30:47, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9122, top5_acc: 0.9972, loss_cls: 2.9473, loss: 2.9473
2025-06-04 05:01:14,917 - pyskl - INFO - Epoch [190][400/523] lr: 1.489e-02, eta: 7:29:59, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9122, top5_acc: 0.9969, loss_cls: 2.8799, loss: 2.8799
2025-06-04 05:01:59,346 - pyskl - INFO - Epoch [190][500/523] lr: 1.484e-02, eta: 7:29:10, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.8947, top5_acc: 0.9953, loss_cls: 2.9683, loss: 2.9683
2025-06-04 05:02:10,007 - pyskl - INFO - Saving checkpoint at 190 epochs
2025-06-04 05:02:38,269 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 05:02:38,337 - pyskl - INFO -
top1_acc 0.4054
top5_acc 0.6238
2025-06-04 05:02:38,337 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 05:02:38,344 - pyskl - INFO -
mean_acc 0.4048
2025-06-04 05:02:38,345 - pyskl - INFO - Epoch(val) [190][198] top1_acc: 0.4054, top5_acc: 0.6238, mean_class_accuracy: 0.4048
2025-06-04 05:03:46,958 - pyskl - INFO - Epoch [191][100/523] lr: 1.479e-02, eta: 7:28:19, time: 0.686, data_time: 0.261, memory: 7964, top1_acc: 0.9300, top5_acc: 0.9991, loss_cls: 2.7902, loss: 2.7902
2025-06-04 05:04:30,984 - pyskl - INFO - Epoch [191][200/523] lr: 1.474e-02, eta: 7:27:31, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9331, top5_acc: 0.9984, loss_cls: 2.8372, loss: 2.8372
2025-06-04 05:05:14,921 - pyskl - INFO - Epoch [191][300/523] lr: 1.470e-02, eta: 7:26:42, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9328, top5_acc: 0.9988, loss_cls: 2.7255, loss: 2.7255
2025-06-04 05:05:59,151 - pyskl - INFO - Epoch [191][400/523] lr: 1.465e-02, eta: 7:25:54, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9072, top5_acc: 0.9947, loss_cls: 2.8154, loss: 2.8154
2025-06-04 05:06:43,146 - pyskl - INFO - Epoch [191][500/523] lr: 1.460e-02, eta: 7:25:05, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9059, top5_acc: 0.9953, loss_cls: 2.9391, loss: 2.9391
2025-06-04 05:06:53,909 - pyskl - INFO - Saving checkpoint at 191 epochs
2025-06-04 05:07:22,049 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 05:07:22,117 - pyskl - INFO -
top1_acc 0.4279
top5_acc 0.6388
2025-06-04 05:07:22,117 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 05:07:22,125 - pyskl - INFO -
mean_acc 0.4283
2025-06-04 05:07:22,127 - pyskl - INFO - Epoch(val) [191][198] top1_acc: 0.4279, top5_acc: 0.6388, mean_class_accuracy: 0.4283
2025-06-04 05:08:32,203 - pyskl - INFO - Epoch [192][100/523] lr: 1.455e-02, eta: 7:24:15, time: 0.701, data_time: 0.260, memory: 7964, top1_acc: 0.9466, top5_acc: 0.9984, loss_cls: 2.7489, loss: 2.7489
2025-06-04 05:09:16,364 - pyskl - INFO - Epoch [192][200/523] lr: 1.450e-02, eta: 7:23:27, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9263, top5_acc: 0.9966, loss_cls: 2.8988, loss: 2.8988
2025-06-04 05:10:00,433 - pyskl - INFO - Epoch [192][300/523] lr: 1.446e-02, eta: 7:22:38, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9144, top5_acc: 0.9959, loss_cls: 2.8677, loss: 2.8677
2025-06-04 05:10:44,580 - pyskl - INFO - Epoch [192][400/523] lr: 1.441e-02, eta: 7:21:50, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9041, top5_acc: 0.9962, loss_cls: 2.9119, loss: 2.9119
2025-06-04 05:11:28,824 - pyskl - INFO - Epoch [192][500/523] lr: 1.437e-02, eta: 7:21:01, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9056, top5_acc: 0.9962, loss_cls: 2.9757, loss: 2.9757
2025-06-04 05:11:39,644 - pyskl - INFO - Saving checkpoint at 192 epochs
2025-06-04 05:12:07,860 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 05:12:07,928 - pyskl - INFO -
top1_acc 0.4232
top5_acc 0.6428
2025-06-04 05:12:07,928 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 05:12:07,935 - pyskl - INFO -
mean_acc 0.4228
2025-06-04 05:12:07,936 - pyskl - INFO - Epoch(val) [192][198] top1_acc: 0.4232, top5_acc: 0.6428, mean_class_accuracy: 0.4228
2025-06-04 05:13:18,052 - pyskl - INFO - Epoch [193][100/523] lr: 1.431e-02, eta: 7:20:11, time: 0.701, data_time: 0.265, memory: 7964, top1_acc: 0.9413, top5_acc: 0.9984, loss_cls: 2.7987, loss: 2.7987
2025-06-04 05:14:02,339 - pyskl - INFO - Epoch [193][200/523] lr: 1.427e-02, eta: 7:19:23, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9384, top5_acc: 0.9984, loss_cls: 2.7111, loss: 2.7111
2025-06-04 05:14:46,346 - pyskl - INFO - Epoch [193][300/523] lr: 1.422e-02, eta: 7:18:34, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9216, top5_acc: 0.9988, loss_cls: 2.8722, loss: 2.8722
2025-06-04 05:15:30,142 - pyskl - INFO - Epoch [193][400/523] lr: 1.418e-02, eta: 7:17:46, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.9234, top5_acc: 0.9972, loss_cls: 2.9030, loss: 2.9030
2025-06-04 05:16:14,170 - pyskl - INFO - Epoch [193][500/523] lr: 1.413e-02, eta: 7:16:57, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9122, top5_acc: 0.9972, loss_cls: 2.9149, loss: 2.9149
2025-06-04 05:16:25,037 - pyskl - INFO - Saving checkpoint at 193 epochs
2025-06-04 05:16:53,517 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 05:16:53,590 - pyskl - INFO -
top1_acc 0.4246
top5_acc 0.6401
2025-06-04 05:16:53,590 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 05:16:53,599 - pyskl - INFO -
mean_acc 0.4253
2025-06-04 05:16:53,601 - pyskl - INFO - Epoch(val) [193][198] top1_acc: 0.4246, top5_acc: 0.6401, mean_class_accuracy: 0.4253
2025-06-04 05:18:02,621 - pyskl - INFO - Epoch [194][100/523] lr: 1.407e-02, eta: 7:16:06, time: 0.690, data_time: 0.258, memory: 7964, top1_acc: 0.9325, top5_acc: 0.9969, loss_cls: 2.7788, loss: 2.7788
2025-06-04 05:18:45,832 - pyskl - INFO - Epoch [194][200/523] lr: 1.403e-02, eta: 7:15:17, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.9256, top5_acc: 0.9978, loss_cls: 2.7554, loss: 2.7554
2025-06-04 05:19:29,777 - pyskl - INFO - Epoch [194][300/523] lr: 1.398e-02, eta: 7:14:29, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9291, top5_acc: 0.9984, loss_cls: 2.8246, loss: 2.8246
2025-06-04 05:20:13,862 - pyskl - INFO - Epoch [194][400/523] lr: 1.394e-02, eta: 7:13:40, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9206, top5_acc: 0.9978, loss_cls: 2.8093, loss: 2.8093
2025-06-04 05:20:57,972 - pyskl - INFO - Epoch [194][500/523] lr: 1.389e-02, eta: 7:12:52, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9175, top5_acc: 0.9972, loss_cls: 2.8578, loss: 2.8578
2025-06-04 05:21:08,755 - pyskl - INFO - Saving checkpoint at 194 epochs
2025-06-04 05:21:37,107 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 05:21:37,178 - pyskl - INFO -
top1_acc 0.4206
top5_acc 0.6350
2025-06-04 05:21:37,179 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 05:21:37,187 - pyskl - INFO -
mean_acc 0.4197
2025-06-04 05:21:37,189 - pyskl - INFO - Epoch(val) [194][198] top1_acc: 0.4206, top5_acc: 0.6350, mean_class_accuracy: 0.4197
2025-06-04 05:22:47,972 - pyskl - INFO - Epoch [195][100/523] lr: 1.384e-02, eta: 7:12:02, time: 0.708, data_time: 0.259, memory: 7964, top1_acc: 0.9416, top5_acc: 0.9988, loss_cls: 2.7320, loss: 2.7320
2025-06-04 05:23:32,418 - pyskl - INFO - Epoch [195][200/523] lr: 1.379e-02, eta: 7:11:13, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9347, top5_acc: 0.9984, loss_cls: 2.7431, loss: 2.7431
2025-06-04 05:24:16,657 - pyskl - INFO - Epoch [195][300/523] lr: 1.375e-02, eta: 7:10:25, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9322, top5_acc: 0.9962, loss_cls: 2.7498, loss: 2.7498
2025-06-04 05:25:00,945 - pyskl - INFO - Epoch [195][400/523] lr: 1.371e-02, eta: 7:09:37, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9325, top5_acc: 0.9984, loss_cls: 2.8463, loss: 2.8463
2025-06-04 05:25:45,266 - pyskl - INFO - Epoch [195][500/523] lr: 1.366e-02, eta: 7:08:49, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9281, top5_acc: 0.9984, loss_cls: 2.7445, loss: 2.7445
2025-06-04 05:25:56,180 - pyskl - INFO - Saving checkpoint at 195 epochs
2025-06-04 05:26:24,607 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 05:26:24,709 - pyskl - INFO -
top1_acc 0.4184
top5_acc 0.6358
2025-06-04 05:26:24,710 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 05:26:24,720 - pyskl - INFO -
mean_acc 0.4183
2025-06-04 05:26:24,722 - pyskl - INFO - Epoch(val) [195][198] top1_acc: 0.4184, top5_acc: 0.6358, mean_class_accuracy: 0.4183
2025-06-04 05:27:34,701 - pyskl - INFO - Epoch [196][100/523] lr: 1.361e-02, eta: 7:07:58, time: 0.700, data_time: 0.255, memory: 7964, top1_acc: 0.9425, top5_acc: 0.9975, loss_cls: 2.7473, loss: 2.7473
2025-06-04 05:28:18,962 - pyskl - INFO - Epoch [196][200/523] lr: 1.356e-02, eta: 7:07:10, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9413, top5_acc: 0.9978, loss_cls: 2.8148, loss: 2.8148
2025-06-04 05:29:03,144 - pyskl - INFO - Epoch [196][300/523] lr: 1.352e-02, eta: 7:06:21, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9350, top5_acc: 0.9997, loss_cls: 2.7229, loss: 2.7229
2025-06-04 05:29:47,424 - pyskl - INFO - Epoch [196][400/523] lr: 1.347e-02, eta: 7:05:33, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9303, top5_acc: 0.9978, loss_cls: 2.7827, loss: 2.7827
2025-06-04 05:30:31,474 - pyskl - INFO - Epoch [196][500/523] lr: 1.343e-02, eta: 7:04:45, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9178, top5_acc: 0.9969, loss_cls: 2.8319, loss: 2.8319
2025-06-04 05:30:42,399 - pyskl - INFO - Saving checkpoint at 196 epochs
2025-06-04 05:31:11,194 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 05:31:11,263 - pyskl - INFO -
top1_acc 0.4170
top5_acc 0.6314
2025-06-04 05:31:11,264 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 05:31:11,273 - pyskl - INFO -
mean_acc 0.4175
2025-06-04 05:31:11,274 - pyskl - INFO - Epoch(val) [196][198] top1_acc: 0.4170, top5_acc: 0.6314, mean_class_accuracy: 0.4175
2025-06-04 05:32:21,168 - pyskl - INFO - Epoch [197][100/523] lr: 1.337e-02, eta: 7:03:54, time: 0.699, data_time: 0.258, memory: 7964, top1_acc: 0.9400, top5_acc: 0.9994, loss_cls: 2.7906, loss: 2.7906
2025-06-04 05:33:05,429 - pyskl - INFO - Epoch [197][200/523] lr: 1.333e-02, eta: 7:03:06, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9441, top5_acc: 0.9988, loss_cls: 2.7165, loss: 2.7165
2025-06-04 05:33:49,770 - pyskl - INFO - Epoch [197][300/523] lr: 1.329e-02, eta: 7:02:17, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9375, top5_acc: 0.9975, loss_cls: 2.8758, loss: 2.8758
2025-06-04 05:34:34,075 - pyskl - INFO - Epoch [197][400/523] lr: 1.324e-02, eta: 7:01:29, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9278, top5_acc: 0.9978, loss_cls: 2.7924, loss: 2.7924
2025-06-04 05:35:18,435 - pyskl - INFO - Epoch [197][500/523] lr: 1.320e-02, eta: 7:00:41, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9197, top5_acc: 0.9962, loss_cls: 2.9168, loss: 2.9168
2025-06-04 05:35:29,130 - pyskl - INFO - Saving checkpoint at 197 epochs
2025-06-04 05:35:57,690 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 05:35:57,776 - pyskl - INFO -
top1_acc 0.4324
top5_acc 0.6447
2025-06-04 05:35:57,776 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 05:35:57,785 - pyskl - INFO -
mean_acc 0.4323
2025-06-04 05:35:57,787 - pyskl - INFO - Epoch(val) [197][198] top1_acc: 0.4324, top5_acc: 0.6447, mean_class_accuracy: 0.4323
2025-06-04 05:37:08,436 - pyskl - INFO - Epoch [198][100/523] lr: 1.314e-02, eta: 6:59:50, time: 0.706, data_time: 0.261, memory: 7964, top1_acc: 0.9491, top5_acc: 0.9978, loss_cls: 2.8036, loss: 2.8036
2025-06-04 05:37:52,560 - pyskl - INFO - Epoch [198][200/523] lr: 1.310e-02, eta: 6:59:02, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9400, top5_acc: 0.9981, loss_cls: 2.6344, loss: 2.6344
2025-06-04 05:38:36,554 - pyskl - INFO - Epoch [198][300/523] lr: 1.305e-02, eta: 6:58:14, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9341, top5_acc: 0.9988, loss_cls: 2.7431, loss: 2.7431
2025-06-04 05:39:20,552 - pyskl - INFO - Epoch [198][400/523] lr: 1.301e-02, eta: 6:57:25, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9356, top5_acc: 0.9981, loss_cls: 2.7685, loss: 2.7685
2025-06-04 05:40:04,653 - pyskl - INFO - Epoch [198][500/523] lr: 1.297e-02, eta: 6:56:37, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9272, top5_acc: 0.9975, loss_cls: 2.7940, loss: 2.7940
2025-06-04 05:40:15,055 - pyskl - INFO - Saving checkpoint at 198 epochs
2025-06-04 05:40:43,546 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 05:40:43,615 - pyskl - INFO -
top1_acc 0.4195
top5_acc 0.6334
2025-06-04 05:40:43,616 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 05:40:43,624 - pyskl - INFO -
mean_acc 0.4210
2025-06-04 05:40:43,626 - pyskl - INFO - Epoch(val) [198][198] top1_acc: 0.4195, top5_acc: 0.6334, mean_class_accuracy: 0.4210
2025-06-04 05:41:52,063 - pyskl - INFO - Epoch [199][100/523] lr: 1.291e-02, eta: 6:55:45, time: 0.684, data_time: 0.260, memory: 7964, top1_acc: 0.9491, top5_acc: 0.9984, loss_cls: 2.6123, loss: 2.6123
2025-06-04 05:42:36,477 - pyskl - INFO - Epoch [199][200/523] lr: 1.287e-02, eta: 6:54:57, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9456, top5_acc: 0.9988, loss_cls: 2.7231, loss: 2.7231
2025-06-04 05:43:20,707 - pyskl - INFO - Epoch [199][300/523] lr: 1.283e-02, eta: 6:54:09, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9378, top5_acc: 0.9969, loss_cls: 2.6994, loss: 2.6994
2025-06-04 05:44:04,969 - pyskl - INFO - Epoch [199][400/523] lr: 1.278e-02, eta: 6:53:21, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9241, top5_acc: 0.9975, loss_cls: 2.7956, loss: 2.7956
2025-06-04 05:44:48,992 - pyskl - INFO - Epoch [199][500/523] lr: 1.274e-02, eta: 6:52:32, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9213, top5_acc: 0.9991, loss_cls: 2.7652, loss: 2.7652
2025-06-04 05:44:59,446 - pyskl - INFO - Saving checkpoint at 199 epochs
2025-06-04 05:45:27,595 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 05:45:27,671 - pyskl - INFO -
top1_acc 0.4316
top5_acc 0.6390
2025-06-04 05:45:27,672 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 05:45:27,681 - pyskl - INFO -
mean_acc 0.4313
2025-06-04 05:45:27,683 - pyskl - INFO - Epoch(val) [199][198] top1_acc: 0.4316, top5_acc: 0.6390, mean_class_accuracy: 0.4313
2025-06-04 05:46:36,940 - pyskl - INFO - Epoch [200][100/523] lr: 1.268e-02, eta: 6:51:41, time: 0.693, data_time: 0.256, memory: 7964, top1_acc: 0.9531, top5_acc: 0.9984, loss_cls: 2.6569, loss: 2.6569
2025-06-04 05:47:20,908 - pyskl - INFO - Epoch [200][200/523] lr: 1.264e-02, eta: 6:50:52, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9456, top5_acc: 0.9991, loss_cls: 2.6131, loss: 2.6131
2025-06-04 05:48:04,788 - pyskl - INFO - Epoch [200][300/523] lr: 1.260e-02, eta: 6:50:04, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9356, top5_acc: 0.9978, loss_cls: 2.7768, loss: 2.7768
2025-06-04 05:48:48,489 - pyskl - INFO - Epoch [200][400/523] lr: 1.255e-02, eta: 6:49:15, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.9309, top5_acc: 0.9978, loss_cls: 2.8199, loss: 2.8199
2025-06-04 05:49:32,188 - pyskl - INFO - Epoch [200][500/523] lr: 1.251e-02, eta: 6:48:27, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.9278, top5_acc: 0.9981, loss_cls: 2.6819, loss: 2.6819
2025-06-04 05:49:42,577 - pyskl - INFO - Saving checkpoint at 200 epochs
2025-06-04 05:50:11,828 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 05:50:11,901 - pyskl - INFO -
top1_acc 0.4295
top5_acc 0.6377
2025-06-04 05:50:11,901 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 05:50:11,910 - pyskl - INFO -
mean_acc 0.4298
2025-06-04 05:50:11,912 - pyskl - INFO - Epoch(val) [200][198] top1_acc: 0.4295, top5_acc: 0.6377, mean_class_accuracy: 0.4298
2025-06-04 05:51:21,674 - pyskl - INFO - Epoch [201][100/523] lr: 1.246e-02, eta: 6:47:36, time: 0.698, data_time: 0.255, memory: 7964, top1_acc: 0.9497, top5_acc: 0.9997, loss_cls: 2.7070, loss: 2.7070
2025-06-04 05:52:05,735 - pyskl - INFO - Epoch [201][200/523] lr: 1.241e-02, eta: 6:46:47, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9375, top5_acc: 0.9988, loss_cls: 2.7517, loss: 2.7517
2025-06-04 05:52:49,736 - pyskl - INFO - Epoch [201][300/523] lr: 1.237e-02, eta: 6:45:59, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9419, top5_acc: 0.9984, loss_cls: 2.6946, loss: 2.6946
2025-06-04 05:53:33,674 - pyskl - INFO - Epoch [201][400/523] lr: 1.233e-02, eta: 6:45:11, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9413, top5_acc: 0.9981, loss_cls: 2.7877, loss: 2.7877
2025-06-04 05:54:17,501 - pyskl - INFO - Epoch [201][500/523] lr: 1.228e-02, eta: 6:44:22, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.9328, top5_acc: 0.9981, loss_cls: 2.7764, loss: 2.7764
2025-06-04 05:54:27,878 - pyskl - INFO - Saving checkpoint at 201 epochs
2025-06-04 05:54:56,567 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 05:54:56,637 - pyskl - INFO -
top1_acc 0.4319
top5_acc 0.6307
2025-06-04 05:54:56,637 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 05:54:56,646 - pyskl - INFO -
mean_acc 0.4327
2025-06-04 05:54:56,648 - pyskl - INFO - Epoch(val) [201][198] top1_acc: 0.4319, top5_acc: 0.6307, mean_class_accuracy: 0.4327
2025-06-04 05:56:04,203 - pyskl - INFO - Epoch [202][100/523] lr: 1.223e-02, eta: 6:43:30, time: 0.675, data_time: 0.255, memory: 7964, top1_acc: 0.9544, top5_acc: 0.9994, loss_cls: 2.6117, loss: 2.6117
2025-06-04 05:56:46,033 - pyskl - INFO - Epoch [202][200/523] lr: 1.219e-02, eta: 6:42:40, time: 0.418, data_time: 0.000, memory: 7964, top1_acc: 0.9453, top5_acc: 0.9981, loss_cls: 2.6915, loss: 2.6915
2025-06-04 05:57:29,324 - pyskl - INFO - Epoch [202][300/523] lr: 1.215e-02, eta: 6:41:52, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.9409, top5_acc: 0.9972, loss_cls: 2.7148, loss: 2.7148
2025-06-04 05:58:13,403 - pyskl - INFO - Epoch [202][400/523] lr: 1.210e-02, eta: 6:41:04, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9444, top5_acc: 0.9997, loss_cls: 2.6967, loss: 2.6967
2025-06-04 05:58:57,164 - pyskl - INFO - Epoch [202][500/523] lr: 1.206e-02, eta: 6:40:15, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.9391, top5_acc: 0.9978, loss_cls: 2.7440, loss: 2.7440
2025-06-04 05:59:07,489 - pyskl - INFO - Saving checkpoint at 202 epochs
2025-06-04 05:59:35,934 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 05:59:36,005 - pyskl - INFO -
top1_acc 0.4352
top5_acc 0.6436
2025-06-04 05:59:36,006 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 05:59:36,015 - pyskl - INFO -
mean_acc 0.4356
2025-06-04 05:59:36,077 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/k_2/best_top1_acc_epoch_167.pth was removed
2025-06-04 05:59:37,639 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_202.pth.
2025-06-04 05:59:37,640 - pyskl - INFO - Best top1_acc is 0.4352 at 202 epoch.
2025-06-04 05:59:37,642 - pyskl - INFO - Epoch(val) [202][198] top1_acc: 0.4352, top5_acc: 0.6436, mean_class_accuracy: 0.4356
2025-06-04 06:00:47,083 - pyskl - INFO - Epoch [203][100/523] lr: 1.201e-02, eta: 6:39:23, time: 0.694, data_time: 0.257, memory: 7964, top1_acc: 0.9519, top5_acc: 0.9984, loss_cls: 2.5512, loss: 2.5512
2025-06-04 06:01:30,994 - pyskl - INFO - Epoch [203][200/523] lr: 1.196e-02, eta: 6:38:35, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9528, top5_acc: 0.9991, loss_cls: 2.6303, loss: 2.6303
2025-06-04 06:02:14,833 - pyskl - INFO - Epoch [203][300/523] lr: 1.192e-02, eta: 6:37:47, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.9513, top5_acc: 0.9991, loss_cls: 2.6527, loss: 2.6527
2025-06-04 06:02:58,885 - pyskl - INFO - Epoch [203][400/523] lr: 1.188e-02, eta: 6:36:59, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9419, top5_acc: 0.9988, loss_cls: 2.7163, loss: 2.7163
2025-06-04 06:03:42,361 - pyskl - INFO - Epoch [203][500/523] lr: 1.184e-02, eta: 6:36:10, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.9316, top5_acc: 0.9981, loss_cls: 2.6971, loss: 2.6971
2025-06-04 06:03:52,829 - pyskl - INFO - Saving checkpoint at 203 epochs
2025-06-04 06:04:21,247 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 06:04:21,312 - pyskl - INFO -
top1_acc 0.4068
top5_acc 0.6260
2025-06-04 06:04:21,312 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 06:04:21,319 - pyskl - INFO -
mean_acc 0.4088
2025-06-04 06:04:21,320 - pyskl - INFO - Epoch(val) [203][198] top1_acc: 0.4068, top5_acc: 0.6260, mean_class_accuracy: 0.4088
2025-06-04 06:05:30,612 - pyskl - INFO - Epoch [204][100/523] lr: 1.178e-02, eta: 6:35:18, time: 0.693, data_time: 0.255, memory: 7964, top1_acc: 0.9497, top5_acc: 0.9988, loss_cls: 2.6152, loss: 2.6152
2025-06-04 06:06:14,829 - pyskl - INFO - Epoch [204][200/523] lr: 1.174e-02, eta: 6:34:30, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9466, top5_acc: 0.9984, loss_cls: 2.6543, loss: 2.6543
2025-06-04 06:06:58,980 - pyskl - INFO - Epoch [204][300/523] lr: 1.170e-02, eta: 6:33:42, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9484, top5_acc: 0.9997, loss_cls: 2.6930, loss: 2.6930
2025-06-04 06:07:43,191 - pyskl - INFO - Epoch [204][400/523] lr: 1.166e-02, eta: 6:32:54, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9347, top5_acc: 0.9997, loss_cls: 2.6531, loss: 2.6531
2025-06-04 06:08:26,880 - pyskl - INFO - Epoch [204][500/523] lr: 1.161e-02, eta: 6:32:06, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.9431, top5_acc: 0.9975, loss_cls: 2.7140, loss: 2.7140
2025-06-04 06:08:37,356 - pyskl - INFO - Saving checkpoint at 204 epochs
2025-06-04 06:09:05,785 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 06:09:05,855 - pyskl - INFO -
top1_acc 0.4338
top5_acc 0.6442
2025-06-04 06:09:05,856 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 06:09:05,864 - pyskl - INFO -
mean_acc 0.4347
2025-06-04 06:09:05,866 - pyskl - INFO - Epoch(val) [204][198] top1_acc: 0.4338, top5_acc: 0.6442, mean_class_accuracy: 0.4347
2025-06-04 06:10:15,518 - pyskl - INFO - Epoch [205][100/523] lr: 1.156e-02, eta: 6:31:14, time: 0.696, data_time: 0.255, memory: 7964, top1_acc: 0.9625, top5_acc: 0.9994, loss_cls: 2.5789, loss: 2.5789
2025-06-04 06:10:59,682 - pyskl - INFO - Epoch [205][200/523] lr: 1.152e-02, eta: 6:30:25, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9584, top5_acc: 0.9994, loss_cls: 2.5890, loss: 2.5890
2025-06-04 06:11:43,948 - pyskl - INFO - Epoch [205][300/523] lr: 1.148e-02, eta: 6:29:37, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9487, top5_acc: 0.9994, loss_cls: 2.6480, loss: 2.6480
2025-06-04 06:12:28,371 - pyskl - INFO - Epoch [205][400/523] lr: 1.144e-02, eta: 6:28:49, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9369, top5_acc: 0.9981, loss_cls: 2.6512, loss: 2.6512
2025-06-04 06:13:11,900 - pyskl - INFO - Epoch [205][500/523] lr: 1.139e-02, eta: 6:28:01, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.9291, top5_acc: 0.9981, loss_cls: 2.8043, loss: 2.8043
2025-06-04 06:13:22,288 - pyskl - INFO - Saving checkpoint at 205 epochs
2025-06-04 06:13:50,570 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 06:13:50,639 - pyskl - INFO -
top1_acc 0.4257
top5_acc 0.6382
2025-06-04 06:13:50,639 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 06:13:50,647 - pyskl - INFO -
mean_acc 0.4261
2025-06-04 06:13:50,648 - pyskl - INFO - Epoch(val) [205][198] top1_acc: 0.4257, top5_acc: 0.6382, mean_class_accuracy: 0.4261
2025-06-04 06:15:00,211 - pyskl - INFO - Epoch [206][100/523] lr: 1.134e-02, eta: 6:27:09, time: 0.696, data_time: 0.254, memory: 7964, top1_acc: 0.9575, top5_acc: 0.9991, loss_cls: 2.5637, loss: 2.5637
2025-06-04 06:15:44,426 - pyskl - INFO - Epoch [206][200/523] lr: 1.130e-02, eta: 6:26:21, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9597, top5_acc: 0.9994, loss_cls: 2.5841, loss: 2.5841
2025-06-04 06:16:28,632 - pyskl - INFO - Epoch [206][300/523] lr: 1.126e-02, eta: 6:25:33, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9587, top5_acc: 0.9994, loss_cls: 2.5923, loss: 2.5923
2025-06-04 06:17:12,811 - pyskl - INFO - Epoch [206][400/523] lr: 1.122e-02, eta: 6:24:45, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9472, top5_acc: 0.9994, loss_cls: 2.6283, loss: 2.6283
2025-06-04 06:17:56,457 - pyskl - INFO - Epoch [206][500/523] lr: 1.118e-02, eta: 6:23:57, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.9450, top5_acc: 0.9991, loss_cls: 2.6267, loss: 2.6267
2025-06-04 06:18:06,873 - pyskl - INFO - Saving checkpoint at 206 epochs
2025-06-04 06:18:35,432 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 06:18:35,502 - pyskl - INFO -
top1_acc 0.4348
top5_acc 0.6401
2025-06-04 06:18:35,502 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 06:18:35,511 - pyskl - INFO -
mean_acc 0.4347
2025-06-04 06:18:35,513 - pyskl - INFO - Epoch(val) [206][198] top1_acc: 0.4348, top5_acc: 0.6401, mean_class_accuracy: 0.4347
2025-06-04 06:19:45,027 - pyskl - INFO - Epoch [207][100/523] lr: 1.112e-02, eta: 6:23:04, time: 0.695, data_time: 0.258, memory: 7964, top1_acc: 0.9584, top5_acc: 0.9994, loss_cls: 2.5231, loss: 2.5231
2025-06-04 06:20:28,971 - pyskl - INFO - Epoch [207][200/523] lr: 1.108e-02, eta: 6:22:16, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9566, top5_acc: 0.9994, loss_cls: 2.5753, loss: 2.5753
2025-06-04 06:21:12,719 - pyskl - INFO - Epoch [207][300/523] lr: 1.104e-02, eta: 6:21:28, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.9594, top5_acc: 0.9981, loss_cls: 2.6200, loss: 2.6200
2025-06-04 06:21:56,419 - pyskl - INFO - Epoch [207][400/523] lr: 1.100e-02, eta: 6:20:40, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.9466, top5_acc: 0.9994, loss_cls: 2.7102, loss: 2.7102
2025-06-04 06:22:39,452 - pyskl - INFO - Epoch [207][500/523] lr: 1.096e-02, eta: 6:19:51, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.9528, top5_acc: 0.9984, loss_cls: 2.6414, loss: 2.6414
2025-06-04 06:22:49,793 - pyskl - INFO - Saving checkpoint at 207 epochs
2025-06-04 06:23:18,416 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 06:23:18,486 - pyskl - INFO -
top1_acc 0.4276
top5_acc 0.6345
2025-06-04 06:23:18,486 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 06:23:18,495 - pyskl - INFO -
mean_acc 0.4285
2025-06-04 06:23:18,497 - pyskl - INFO - Epoch(val) [207][198] top1_acc: 0.4276, top5_acc: 0.6345, mean_class_accuracy: 0.4285
2025-06-04 06:24:27,591 - pyskl - INFO - Epoch [208][100/523] lr: 1.091e-02, eta: 6:18:59, time: 0.691, data_time: 0.255, memory: 7964, top1_acc: 0.9609, top5_acc: 0.9984, loss_cls: 2.4368, loss: 2.4368
2025-06-04 06:25:11,637 - pyskl - INFO - Epoch [208][200/523] lr: 1.087e-02, eta: 6:18:11, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9525, top5_acc: 1.0000, loss_cls: 2.5609, loss: 2.5609
2025-06-04 06:25:55,607 - pyskl - INFO - Epoch [208][300/523] lr: 1.082e-02, eta: 6:17:22, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9563, top5_acc: 0.9988, loss_cls: 2.5260, loss: 2.5260
2025-06-04 06:26:39,670 - pyskl - INFO - Epoch [208][400/523] lr: 1.078e-02, eta: 6:16:34, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9563, top5_acc: 0.9994, loss_cls: 2.5621, loss: 2.5621
2025-06-04 06:27:23,107 - pyskl - INFO - Epoch [208][500/523] lr: 1.074e-02, eta: 6:15:46, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.9500, top5_acc: 0.9972, loss_cls: 2.6339, loss: 2.6339
2025-06-04 06:27:33,601 - pyskl - INFO - Saving checkpoint at 208 epochs
2025-06-04 06:28:02,017 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 06:28:02,083 - pyskl - INFO -
top1_acc 0.4321
top5_acc 0.6402
2025-06-04 06:28:02,083 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 06:28:02,090 - pyskl - INFO -
mean_acc 0.4319
2025-06-04 06:28:02,091 - pyskl - INFO - Epoch(val) [208][198] top1_acc: 0.4321, top5_acc: 0.6402, mean_class_accuracy: 0.4319
2025-06-04 06:29:11,321 - pyskl - INFO - Epoch [209][100/523] lr: 1.069e-02, eta: 6:14:53, time: 0.692, data_time: 0.254, memory: 7964, top1_acc: 0.9681, top5_acc: 0.9994, loss_cls: 2.5797, loss: 2.5797
2025-06-04 06:29:55,513 - pyskl - INFO - Epoch [209][200/523] lr: 1.065e-02, eta: 6:14:05, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9616, top5_acc: 0.9994, loss_cls: 2.4873, loss: 2.4873
2025-06-04 06:30:39,620 - pyskl - INFO - Epoch [209][300/523] lr: 1.061e-02, eta: 6:13:17, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9619, top5_acc: 0.9997, loss_cls: 2.4804, loss: 2.4804
2025-06-04 06:31:23,949 - pyskl - INFO - Epoch [209][400/523] lr: 1.057e-02, eta: 6:12:29, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9559, top5_acc: 0.9994, loss_cls: 2.5814, loss: 2.5814
2025-06-04 06:32:07,999 - pyskl - INFO - Epoch [209][500/523] lr: 1.053e-02, eta: 6:11:41, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9463, top5_acc: 0.9997, loss_cls: 2.5707, loss: 2.5707
2025-06-04 06:32:18,420 - pyskl - INFO - Saving checkpoint at 209 epochs
2025-06-04 06:32:46,851 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 06:32:46,927 - pyskl - INFO -
top1_acc 0.4302
top5_acc 0.6337
2025-06-04 06:32:46,927 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 06:32:46,936 - pyskl - INFO -
mean_acc 0.4294
2025-06-04 06:32:46,938 - pyskl - INFO - Epoch(val) [209][198] top1_acc: 0.4302, top5_acc: 0.6337, mean_class_accuracy: 0.4294
2025-06-04 06:33:56,934 - pyskl - INFO - Epoch [210][100/523] lr: 1.048e-02, eta: 6:10:49, time: 0.700, data_time: 0.258, memory: 7964, top1_acc: 0.9622, top5_acc: 0.9988, loss_cls: 2.4967, loss: 2.4967
2025-06-04 06:34:41,115 - pyskl - INFO - Epoch [210][200/523] lr: 1.044e-02, eta: 6:10:01, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9459, top5_acc: 1.0000, loss_cls: 2.6278, loss: 2.6278
2025-06-04 06:35:25,137 - pyskl - INFO - Epoch [210][300/523] lr: 1.040e-02, eta: 6:09:13, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9500, top5_acc: 0.9991, loss_cls: 2.5900, loss: 2.5900
2025-06-04 06:36:09,252 - pyskl - INFO - Epoch [210][400/523] lr: 1.036e-02, eta: 6:08:25, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9491, top5_acc: 0.9994, loss_cls: 2.6548, loss: 2.6548
2025-06-04 06:36:52,560 - pyskl - INFO - Epoch [210][500/523] lr: 1.032e-02, eta: 6:07:37, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.9500, top5_acc: 0.9994, loss_cls: 2.6069, loss: 2.6069
2025-06-04 06:37:03,012 - pyskl - INFO - Saving checkpoint at 210 epochs
2025-06-04 06:37:31,448 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 06:37:31,517 - pyskl - INFO -
top1_acc 0.4424
top5_acc 0.6401
2025-06-04 06:37:31,517 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 06:37:31,525 - pyskl - INFO -
mean_acc 0.4423
2025-06-04 06:37:31,588 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/k_2/best_top1_acc_epoch_202.pth was removed
2025-06-04 06:37:33,146 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_210.pth.
2025-06-04 06:37:33,148 - pyskl - INFO - Best top1_acc is 0.4424 at 210 epoch.
2025-06-04 06:37:33,150 - pyskl - INFO - Epoch(val) [210][198] top1_acc: 0.4424, top5_acc: 0.6401, mean_class_accuracy: 0.4423
2025-06-04 06:38:41,903 - pyskl - INFO - Epoch [211][100/523] lr: 1.027e-02, eta: 6:06:44, time: 0.687, data_time: 0.249, memory: 7964, top1_acc: 0.9725, top5_acc: 0.9997, loss_cls: 2.4281, loss: 2.4281
2025-06-04 06:39:26,087 - pyskl - INFO - Epoch [211][200/523] lr: 1.022e-02, eta: 6:05:56, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9681, top5_acc: 0.9994, loss_cls: 2.5284, loss: 2.5284
2025-06-04 06:40:10,294 - pyskl - INFO - Epoch [211][300/523] lr: 1.018e-02, eta: 6:05:08, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9622, top5_acc: 1.0000, loss_cls: 2.5219, loss: 2.5219
2025-06-04 06:40:54,349 - pyskl - INFO - Epoch [211][400/523] lr: 1.014e-02, eta: 6:04:20, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9656, top5_acc: 0.9997, loss_cls: 2.5240, loss: 2.5240
2025-06-04 06:41:38,023 - pyskl - INFO - Epoch [211][500/523] lr: 1.010e-02, eta: 6:03:32, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.9544, top5_acc: 0.9997, loss_cls: 2.5912, loss: 2.5912
2025-06-04 06:41:48,385 - pyskl - INFO - Saving checkpoint at 211 epochs
2025-06-04 06:42:16,631 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 06:42:16,702 - pyskl - INFO -
top1_acc 0.4354
top5_acc 0.6383
2025-06-04 06:42:16,703 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 06:42:16,712 - pyskl - INFO -
mean_acc 0.4353
2025-06-04 06:42:16,714 - pyskl - INFO - Epoch(val) [211][198] top1_acc: 0.4354, top5_acc: 0.6383, mean_class_accuracy: 0.4353
2025-06-04 06:43:26,541 - pyskl - INFO - Epoch [212][100/523] lr: 1.005e-02, eta: 6:02:39, time: 0.698, data_time: 0.257, memory: 7964, top1_acc: 0.9563, top5_acc: 0.9988, loss_cls: 2.5341, loss: 2.5341
2025-06-04 06:44:10,673 - pyskl - INFO - Epoch [212][200/523] lr: 1.001e-02, eta: 6:01:51, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9619, top5_acc: 0.9997, loss_cls: 2.4388, loss: 2.4388
2025-06-04 06:44:54,794 - pyskl - INFO - Epoch [212][300/523] lr: 9.974e-03, eta: 6:01:03, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9587, top5_acc: 0.9994, loss_cls: 2.5580, loss: 2.5580
2025-06-04 06:45:38,956 - pyskl - INFO - Epoch [212][400/523] lr: 9.935e-03, eta: 6:00:15, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9603, top5_acc: 1.0000, loss_cls: 2.5550, loss: 2.5550
2025-06-04 06:46:22,560 - pyskl - INFO - Epoch [212][500/523] lr: 9.895e-03, eta: 5:59:27, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.9584, top5_acc: 0.9981, loss_cls: 2.6025, loss: 2.6025
2025-06-04 06:46:33,100 - pyskl - INFO - Saving checkpoint at 212 epochs
2025-06-04 06:47:01,438 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 06:47:01,509 - pyskl - INFO -
top1_acc 0.4376
top5_acc 0.6434
2025-06-04 06:47:01,510 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 06:47:01,519 - pyskl - INFO -
mean_acc 0.4381
2025-06-04 06:47:01,521 - pyskl - INFO - Epoch(val) [212][198] top1_acc: 0.4376, top5_acc: 0.6434, mean_class_accuracy: 0.4381
2025-06-04 06:48:10,887 - pyskl - INFO - Epoch [213][100/523] lr: 9.846e-03, eta: 5:58:34, time: 0.694, data_time: 0.255, memory: 7964, top1_acc: 0.9647, top5_acc: 0.9994, loss_cls: 2.4224, loss: 2.4224
2025-06-04 06:48:55,295 - pyskl - INFO - Epoch [213][200/523] lr: 9.806e-03, eta: 5:57:47, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9600, top5_acc: 0.9994, loss_cls: 2.5689, loss: 2.5689
2025-06-04 06:49:39,591 - pyskl - INFO - Epoch [213][300/523] lr: 9.766e-03, eta: 5:56:59, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9675, top5_acc: 0.9997, loss_cls: 2.5690, loss: 2.5690
2025-06-04 06:50:24,052 - pyskl - INFO - Epoch [213][400/523] lr: 9.726e-03, eta: 5:56:11, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9544, top5_acc: 0.9997, loss_cls: 2.6019, loss: 2.6019
2025-06-04 06:51:07,644 - pyskl - INFO - Epoch [213][500/523] lr: 9.687e-03, eta: 5:55:23, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.9606, top5_acc: 0.9988, loss_cls: 2.5960, loss: 2.5960
2025-06-04 06:51:18,208 - pyskl - INFO - Saving checkpoint at 213 epochs
2025-06-04 06:51:46,802 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 06:51:46,870 - pyskl - INFO -
top1_acc 0.4417
top5_acc 0.6482
2025-06-04 06:51:46,870 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 06:51:46,877 - pyskl - INFO -
mean_acc 0.4426
2025-06-04 06:51:46,878 - pyskl - INFO - Epoch(val) [213][198] top1_acc: 0.4417, top5_acc: 0.6482, mean_class_accuracy: 0.4426
2025-06-04 06:52:56,801 - pyskl - INFO - Epoch [214][100/523] lr: 9.638e-03, eta: 5:54:30, time: 0.699, data_time: 0.255, memory: 7964, top1_acc: 0.9741, top5_acc: 1.0000, loss_cls: 2.4729, loss: 2.4729
2025-06-04 06:53:41,187 - pyskl - INFO - Epoch [214][200/523] lr: 9.599e-03, eta: 5:53:42, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9672, top5_acc: 0.9997, loss_cls: 2.4539, loss: 2.4539
2025-06-04 06:54:25,525 - pyskl - INFO - Epoch [214][300/523] lr: 9.559e-03, eta: 5:52:54, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9656, top5_acc: 0.9997, loss_cls: 2.4534, loss: 2.4534
2025-06-04 06:55:09,979 - pyskl - INFO - Epoch [214][400/523] lr: 9.520e-03, eta: 5:52:07, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9647, top5_acc: 1.0000, loss_cls: 2.5490, loss: 2.5490
2025-06-04 06:55:53,078 - pyskl - INFO - Epoch [214][500/523] lr: 9.481e-03, eta: 5:51:18, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.9691, top5_acc: 0.9994, loss_cls: 2.3176, loss: 2.3176
2025-06-04 06:56:03,450 - pyskl - INFO - Saving checkpoint at 214 epochs
2025-06-04 06:56:31,771 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 06:56:31,839 - pyskl - INFO -
top1_acc 0.4392
top5_acc 0.6450
2025-06-04 06:56:31,839 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 06:56:31,846 - pyskl - INFO -
mean_acc 0.4392
2025-06-04 06:56:31,847 - pyskl - INFO - Epoch(val) [214][198] top1_acc: 0.4392, top5_acc: 0.6450, mean_class_accuracy: 0.4392
2025-06-04 06:57:40,789 - pyskl - INFO - Epoch [215][100/523] lr: 9.432e-03, eta: 5:50:25, time: 0.689, data_time: 0.253, memory: 7964, top1_acc: 0.9719, top5_acc: 1.0000, loss_cls: 2.4465, loss: 2.4465
2025-06-04 06:58:25,010 - pyskl - INFO - Epoch [215][200/523] lr: 9.393e-03, eta: 5:49:37, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9694, top5_acc: 0.9997, loss_cls: 2.4558, loss: 2.4558
2025-06-04 06:59:09,188 - pyskl - INFO - Epoch [215][300/523] lr: 9.354e-03, eta: 5:48:49, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9653, top5_acc: 0.9991, loss_cls: 2.4114, loss: 2.4114
2025-06-04 06:59:53,352 - pyskl - INFO - Epoch [215][400/523] lr: 9.315e-03, eta: 5:48:01, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9625, top5_acc: 0.9997, loss_cls: 2.5440, loss: 2.5440
2025-06-04 07:00:36,389 - pyskl - INFO - Epoch [215][500/523] lr: 9.276e-03, eta: 5:47:13, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.9653, top5_acc: 0.9994, loss_cls: 2.5210, loss: 2.5210
2025-06-04 07:00:46,938 - pyskl - INFO - Saving checkpoint at 215 epochs
2025-06-04 07:01:15,429 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 07:01:15,501 - pyskl - INFO -
top1_acc 0.4376
top5_acc 0.6355
2025-06-04 07:01:15,501 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 07:01:15,508 - pyskl - INFO -
mean_acc 0.4373
2025-06-04 07:01:15,509 - pyskl - INFO - Epoch(val) [215][198] top1_acc: 0.4376, top5_acc: 0.6355, mean_class_accuracy: 0.4373
2025-06-04 07:02:24,684 - pyskl - INFO - Epoch [216][100/523] lr: 9.229e-03, eta: 5:46:20, time: 0.692, data_time: 0.254, memory: 7964, top1_acc: 0.9762, top5_acc: 0.9997, loss_cls: 2.4081, loss: 2.4081
2025-06-04 07:03:08,887 - pyskl - INFO - Epoch [216][200/523] lr: 9.190e-03, eta: 5:45:32, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9728, top5_acc: 0.9997, loss_cls: 2.3844, loss: 2.3844
2025-06-04 07:03:52,840 - pyskl - INFO - Epoch [216][300/523] lr: 9.151e-03, eta: 5:44:44, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9681, top5_acc: 0.9997, loss_cls: 2.3613, loss: 2.3613
2025-06-04 07:04:36,557 - pyskl - INFO - Epoch [216][400/523] lr: 9.112e-03, eta: 5:43:56, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.9681, top5_acc: 1.0000, loss_cls: 2.5007, loss: 2.5007
2025-06-04 07:05:19,310 - pyskl - INFO - Epoch [216][500/523] lr: 9.074e-03, eta: 5:43:08, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.9575, top5_acc: 0.9994, loss_cls: 2.5243, loss: 2.5243
2025-06-04 07:05:29,674 - pyskl - INFO - Saving checkpoint at 216 epochs
2025-06-04 07:05:57,920 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 07:05:57,988 - pyskl - INFO -
top1_acc 0.4403
top5_acc 0.6390
2025-06-04 07:05:57,988 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 07:05:57,995 - pyskl - INFO -
mean_acc 0.4414
2025-06-04 07:05:57,996 - pyskl - INFO - Epoch(val) [216][198] top1_acc: 0.4403, top5_acc: 0.6390, mean_class_accuracy: 0.4414
2025-06-04 07:07:08,386 - pyskl - INFO - Epoch [217][100/523] lr: 9.026e-03, eta: 5:42:15, time: 0.704, data_time: 0.257, memory: 7964, top1_acc: 0.9722, top5_acc: 0.9997, loss_cls: 2.4276, loss: 2.4276
2025-06-04 07:07:52,059 - pyskl - INFO - Epoch [217][200/523] lr: 8.988e-03, eta: 5:41:27, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.9716, top5_acc: 0.9997, loss_cls: 2.5027, loss: 2.5027
2025-06-04 07:08:36,171 - pyskl - INFO - Epoch [217][300/523] lr: 8.949e-03, eta: 5:40:39, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9731, top5_acc: 0.9991, loss_cls: 2.4720, loss: 2.4720
2025-06-04 07:09:20,473 - pyskl - INFO - Epoch [217][400/523] lr: 8.911e-03, eta: 5:39:51, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9709, top5_acc: 1.0000, loss_cls: 2.5403, loss: 2.5403
2025-06-04 07:10:03,704 - pyskl - INFO - Epoch [217][500/523] lr: 8.873e-03, eta: 5:39:03, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.9656, top5_acc: 0.9997, loss_cls: 2.5048, loss: 2.5048
2025-06-04 07:10:14,478 - pyskl - INFO - Saving checkpoint at 217 epochs
2025-06-04 07:10:42,773 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 07:10:42,840 - pyskl - INFO -
top1_acc 0.4281
top5_acc 0.6339
2025-06-04 07:10:42,840 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 07:10:42,847 - pyskl - INFO -
mean_acc 0.4279
2025-06-04 07:10:42,848 - pyskl - INFO - Epoch(val) [217][198] top1_acc: 0.4281, top5_acc: 0.6339, mean_class_accuracy: 0.4279
2025-06-04 07:11:53,019 - pyskl - INFO - Epoch [218][100/523] lr: 8.826e-03, eta: 5:38:10, time: 0.702, data_time: 0.255, memory: 7964, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 2.3132, loss: 2.3132
2025-06-04 07:12:37,275 - pyskl - INFO - Epoch [218][200/523] lr: 8.788e-03, eta: 5:37:22, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9709, top5_acc: 0.9997, loss_cls: 2.3826, loss: 2.3826
2025-06-04 07:13:21,380 - pyskl - INFO - Epoch [218][300/523] lr: 8.750e-03, eta: 5:36:34, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9691, top5_acc: 1.0000, loss_cls: 2.4113, loss: 2.4113
2025-06-04 07:14:05,397 - pyskl - INFO - Epoch [218][400/523] lr: 8.712e-03, eta: 5:35:46, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9709, top5_acc: 0.9994, loss_cls: 2.4664, loss: 2.4664
2025-06-04 07:14:48,264 - pyskl - INFO - Epoch [218][500/523] lr: 8.674e-03, eta: 5:34:58, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.9584, top5_acc: 0.9988, loss_cls: 2.4410, loss: 2.4410
2025-06-04 07:14:58,703 - pyskl - INFO - Saving checkpoint at 218 epochs
2025-06-04 07:15:26,856 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 07:15:26,923 - pyskl - INFO -
top1_acc 0.4330
top5_acc 0.6344
2025-06-04 07:15:26,923 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 07:15:26,930 - pyskl - INFO -
mean_acc 0.4333
2025-06-04 07:15:26,932 - pyskl - INFO - Epoch(val) [218][198] top1_acc: 0.4330, top5_acc: 0.6344, mean_class_accuracy: 0.4333
2025-06-04 07:16:36,829 - pyskl - INFO - Epoch [219][100/523] lr: 8.627e-03, eta: 5:34:05, time: 0.699, data_time: 0.258, memory: 7964, top1_acc: 0.9766, top5_acc: 1.0000, loss_cls: 2.3750, loss: 2.3750
2025-06-04 07:17:21,104 - pyskl - INFO - Epoch [219][200/523] lr: 8.589e-03, eta: 5:33:17, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9762, top5_acc: 0.9997, loss_cls: 2.3395, loss: 2.3395
2025-06-04 07:18:05,204 - pyskl - INFO - Epoch [219][300/523] lr: 8.551e-03, eta: 5:32:29, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9753, top5_acc: 0.9994, loss_cls: 2.3395, loss: 2.3395
2025-06-04 07:18:49,565 - pyskl - INFO - Epoch [219][400/523] lr: 8.514e-03, eta: 5:31:42, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9703, top5_acc: 1.0000, loss_cls: 2.3808, loss: 2.3808
2025-06-04 07:19:32,840 - pyskl - INFO - Epoch [219][500/523] lr: 8.476e-03, eta: 5:30:53, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.9697, top5_acc: 0.9997, loss_cls: 2.4539, loss: 2.4539
2025-06-04 07:19:43,250 - pyskl - INFO - Saving checkpoint at 219 epochs
2025-06-04 07:20:11,374 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 07:20:11,444 - pyskl - INFO -
top1_acc 0.4278
top5_acc 0.6349
2025-06-04 07:20:11,445 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 07:20:11,453 - pyskl - INFO -
mean_acc 0.4279
2025-06-04 07:20:11,454 - pyskl - INFO - Epoch(val) [219][198] top1_acc: 0.4278, top5_acc: 0.6349, mean_class_accuracy: 0.4279
2025-06-04 07:21:20,727 - pyskl - INFO - Epoch [220][100/523] lr: 8.430e-03, eta: 5:30:00, time: 0.693, data_time: 0.255, memory: 7964, top1_acc: 0.9797, top5_acc: 1.0000, loss_cls: 2.4320, loss: 2.4320
2025-06-04 07:22:04,716 - pyskl - INFO - Epoch [220][200/523] lr: 8.393e-03, eta: 5:29:12, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9781, top5_acc: 0.9997, loss_cls: 2.4110, loss: 2.4110
2025-06-04 07:22:48,875 - pyskl - INFO - Epoch [220][300/523] lr: 8.355e-03, eta: 5:28:24, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9728, top5_acc: 0.9997, loss_cls: 2.4365, loss: 2.4365
2025-06-04 07:23:33,304 - pyskl - INFO - Epoch [220][400/523] lr: 8.318e-03, eta: 5:27:37, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9728, top5_acc: 0.9994, loss_cls: 2.4189, loss: 2.4189
2025-06-04 07:24:16,146 - pyskl - INFO - Epoch [220][500/523] lr: 8.281e-03, eta: 5:26:48, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.9691, top5_acc: 0.9984, loss_cls: 2.3932, loss: 2.3932
2025-06-04 07:24:26,450 - pyskl - INFO - Saving checkpoint at 220 epochs
2025-06-04 07:24:54,674 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 07:24:54,741 - pyskl - INFO -
top1_acc 0.4398
top5_acc 0.6474
2025-06-04 07:24:54,742 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 07:24:54,748 - pyskl - INFO -
mean_acc 0.4407
2025-06-04 07:24:54,749 - pyskl - INFO - Epoch(val) [220][198] top1_acc: 0.4398, top5_acc: 0.6474, mean_class_accuracy: 0.4407
2025-06-04 07:26:04,509 - pyskl - INFO - Epoch [221][100/523] lr: 8.235e-03, eta: 5:25:55, time: 0.698, data_time: 0.256, memory: 7964, top1_acc: 0.9794, top5_acc: 0.9997, loss_cls: 2.3222, loss: 2.3222
2025-06-04 07:26:48,722 - pyskl - INFO - Epoch [221][200/523] lr: 8.198e-03, eta: 5:25:07, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9775, top5_acc: 1.0000, loss_cls: 2.3497, loss: 2.3497
2025-06-04 07:27:32,951 - pyskl - INFO - Epoch [221][300/523] lr: 8.161e-03, eta: 5:24:20, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9803, top5_acc: 0.9997, loss_cls: 2.3722, loss: 2.3722
2025-06-04 07:28:17,315 - pyskl - INFO - Epoch [221][400/523] lr: 8.124e-03, eta: 5:23:32, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9666, top5_acc: 1.0000, loss_cls: 2.4618, loss: 2.4618
2025-06-04 07:29:01,214 - pyskl - INFO - Epoch [221][500/523] lr: 8.087e-03, eta: 5:22:44, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9712, top5_acc: 0.9997, loss_cls: 2.3133, loss: 2.3133
2025-06-04 07:29:11,885 - pyskl - INFO - Saving checkpoint at 221 epochs
2025-06-04 07:29:40,103 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 07:29:40,172 - pyskl - INFO -
top1_acc 0.4273
top5_acc 0.6418
2025-06-04 07:29:40,172 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 07:29:40,180 - pyskl - INFO -
mean_acc 0.4269
2025-06-04 07:29:40,181 - pyskl - INFO - Epoch(val) [221][198] top1_acc: 0.4273, top5_acc: 0.6418, mean_class_accuracy: 0.4269
2025-06-04 07:30:49,596 - pyskl - INFO - Epoch [222][100/523] lr: 8.042e-03, eta: 5:21:51, time: 0.694, data_time: 0.254, memory: 7964, top1_acc: 0.9803, top5_acc: 1.0000, loss_cls: 2.3065, loss: 2.3065
2025-06-04 07:31:33,688 - pyskl - INFO - Epoch [222][200/523] lr: 8.005e-03, eta: 5:21:03, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9825, top5_acc: 0.9997, loss_cls: 2.3840, loss: 2.3840
2025-06-04 07:32:17,516 - pyskl - INFO - Epoch [222][300/523] lr: 7.968e-03, eta: 5:20:15, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 2.3460, loss: 2.3460
2025-06-04 07:33:02,017 - pyskl - INFO - Epoch [222][400/523] lr: 7.932e-03, eta: 5:19:27, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9738, top5_acc: 0.9997, loss_cls: 2.4056, loss: 2.4056
2025-06-04 07:33:44,936 - pyskl - INFO - Epoch [222][500/523] lr: 7.895e-03, eta: 5:18:39, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.9734, top5_acc: 0.9997, loss_cls: 2.3121, loss: 2.3121
2025-06-04 07:33:55,743 - pyskl - INFO - Saving checkpoint at 222 epochs
2025-06-04 07:34:23,975 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 07:34:24,046 - pyskl - INFO -
top1_acc 0.4267
top5_acc 0.6344
2025-06-04 07:34:24,046 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 07:34:24,053 - pyskl - INFO -
mean_acc 0.4282
2025-06-04 07:34:24,054 - pyskl - INFO - Epoch(val) [222][198] top1_acc: 0.4267, top5_acc: 0.6344, mean_class_accuracy: 0.4282
2025-06-04 07:35:32,627 - pyskl - INFO - Epoch [223][100/523] lr: 7.850e-03, eta: 5:17:45, time: 0.686, data_time: 0.254, memory: 7964, top1_acc: 0.9809, top5_acc: 1.0000, loss_cls: 2.2967, loss: 2.2967
2025-06-04 07:36:16,564 - pyskl - INFO - Epoch [223][200/523] lr: 7.814e-03, eta: 5:16:57, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 2.3056, loss: 2.3056
2025-06-04 07:37:00,347 - pyskl - INFO - Epoch [223][300/523] lr: 7.778e-03, eta: 5:16:09, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.9766, top5_acc: 1.0000, loss_cls: 2.3261, loss: 2.3261
2025-06-04 07:37:44,666 - pyskl - INFO - Epoch [223][400/523] lr: 7.741e-03, eta: 5:15:22, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9800, top5_acc: 0.9997, loss_cls: 2.3263, loss: 2.3263
2025-06-04 07:38:27,332 - pyskl - INFO - Epoch [223][500/523] lr: 7.705e-03, eta: 5:14:33, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.9766, top5_acc: 1.0000, loss_cls: 2.3573, loss: 2.3573
2025-06-04 07:38:37,734 - pyskl - INFO - Saving checkpoint at 223 epochs
2025-06-04 07:39:06,129 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 07:39:06,197 - pyskl - INFO -
top1_acc 0.4387
top5_acc 0.6339
2025-06-04 07:39:06,197 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 07:39:06,205 - pyskl - INFO -
mean_acc 0.4384
2025-06-04 07:39:06,207 - pyskl - INFO - Epoch(val) [223][198] top1_acc: 0.4387, top5_acc: 0.6339, mean_class_accuracy: 0.4384
2025-06-04 07:40:16,365 - pyskl - INFO - Epoch [224][100/523] lr: 7.661e-03, eta: 5:13:40, time: 0.702, data_time: 0.261, memory: 7964, top1_acc: 0.9797, top5_acc: 1.0000, loss_cls: 2.3841, loss: 2.3841
2025-06-04 07:41:00,483 - pyskl - INFO - Epoch [224][200/523] lr: 7.625e-03, eta: 5:12:52, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9812, top5_acc: 0.9997, loss_cls: 2.3574, loss: 2.3574
2025-06-04 07:41:44,580 - pyskl - INFO - Epoch [224][300/523] lr: 7.589e-03, eta: 5:12:04, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 2.2624, loss: 2.2624
2025-06-04 07:42:28,390 - pyskl - INFO - Epoch [224][400/523] lr: 7.553e-03, eta: 5:11:17, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.9791, top5_acc: 1.0000, loss_cls: 2.3568, loss: 2.3568
2025-06-04 07:43:11,395 - pyskl - INFO - Epoch [224][500/523] lr: 7.517e-03, eta: 5:10:28, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.9775, top5_acc: 0.9997, loss_cls: 2.3445, loss: 2.3445
2025-06-04 07:43:22,240 - pyskl - INFO - Saving checkpoint at 224 epochs
2025-06-04 07:43:50,386 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 07:43:50,454 - pyskl - INFO -
top1_acc 0.4400
top5_acc 0.6382
2025-06-04 07:43:50,454 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 07:43:50,461 - pyskl - INFO -
mean_acc 0.4423
2025-06-04 07:43:50,462 - pyskl - INFO - Epoch(val) [224][198] top1_acc: 0.4400, top5_acc: 0.6382, mean_class_accuracy: 0.4423
2025-06-04 07:44:59,338 - pyskl - INFO - Epoch [225][100/523] lr: 7.473e-03, eta: 5:09:35, time: 0.689, data_time: 0.254, memory: 7964, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 2.2388, loss: 2.2388
2025-06-04 07:45:43,455 - pyskl - INFO - Epoch [225][200/523] lr: 7.437e-03, eta: 5:08:47, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 2.3136, loss: 2.3136
2025-06-04 07:46:27,579 - pyskl - INFO - Epoch [225][300/523] lr: 7.402e-03, eta: 5:07:59, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9759, top5_acc: 0.9994, loss_cls: 2.3143, loss: 2.3143
2025-06-04 07:47:10,339 - pyskl - INFO - Epoch [225][400/523] lr: 7.366e-03, eta: 5:07:11, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.9766, top5_acc: 1.0000, loss_cls: 2.2414, loss: 2.2414
2025-06-04 07:47:53,804 - pyskl - INFO - Epoch [225][500/523] lr: 7.331e-03, eta: 5:06:23, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 2.4178, loss: 2.4178
2025-06-04 07:48:04,642 - pyskl - INFO - Saving checkpoint at 225 epochs
2025-06-04 07:48:32,910 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 07:48:32,978 - pyskl - INFO -
top1_acc 0.4451
top5_acc 0.6426
2025-06-04 07:48:32,978 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 07:48:32,986 - pyskl - INFO -
mean_acc 0.4442
2025-06-04 07:48:33,040 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/k_2/best_top1_acc_epoch_210.pth was removed
2025-06-04 07:48:34,544 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_225.pth.
2025-06-04 07:48:34,546 - pyskl - INFO - Best top1_acc is 0.4451 at 225 epoch.
2025-06-04 07:48:34,548 - pyskl - INFO - Epoch(val) [225][198] top1_acc: 0.4451, top5_acc: 0.6426, mean_class_accuracy: 0.4442
2025-06-04 07:49:43,440 - pyskl - INFO - Epoch [226][100/523] lr: 7.287e-03, eta: 5:05:29, time: 0.689, data_time: 0.249, memory: 7964, top1_acc: 0.9859, top5_acc: 0.9997, loss_cls: 2.3088, loss: 2.3088
2025-06-04 07:50:27,968 - pyskl - INFO - Epoch [226][200/523] lr: 7.252e-03, eta: 5:04:41, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 2.2310, loss: 2.2310
2025-06-04 07:51:12,337 - pyskl - INFO - Epoch [226][300/523] lr: 7.217e-03, eta: 5:03:54, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9856, top5_acc: 0.9997, loss_cls: 2.3158, loss: 2.3158
2025-06-04 07:51:56,334 - pyskl - INFO - Epoch [226][400/523] lr: 7.182e-03, eta: 5:03:06, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9819, top5_acc: 0.9997, loss_cls: 2.2745, loss: 2.2745
2025-06-04 07:52:40,076 - pyskl - INFO - Epoch [226][500/523] lr: 7.147e-03, eta: 5:02:18, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.9738, top5_acc: 0.9997, loss_cls: 2.5173, loss: 2.5173
2025-06-04 07:52:50,867 - pyskl - INFO - Saving checkpoint at 226 epochs
2025-06-04 07:53:19,159 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 07:53:19,229 - pyskl - INFO -
top1_acc 0.4335
top5_acc 0.6428
2025-06-04 07:53:19,229 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 07:53:19,236 - pyskl - INFO -
mean_acc 0.4337
2025-06-04 07:53:19,237 - pyskl - INFO - Epoch(val) [226][198] top1_acc: 0.4335, top5_acc: 0.6428, mean_class_accuracy: 0.4337
2025-06-04 07:54:28,394 - pyskl - INFO - Epoch [227][100/523] lr: 7.104e-03, eta: 5:01:24, time: 0.692, data_time: 0.252, memory: 7964, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 2.2948, loss: 2.2948
2025-06-04 07:55:12,283 - pyskl - INFO - Epoch [227][200/523] lr: 7.069e-03, eta: 5:00:36, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9866, top5_acc: 1.0000, loss_cls: 2.2029, loss: 2.2029
2025-06-04 07:55:56,293 - pyskl - INFO - Epoch [227][300/523] lr: 7.034e-03, eta: 4:59:49, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 2.1758, loss: 2.1758
2025-06-04 07:56:39,181 - pyskl - INFO - Epoch [227][400/523] lr: 6.999e-03, eta: 4:59:01, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.9797, top5_acc: 0.9997, loss_cls: 2.3286, loss: 2.3286
2025-06-04 07:57:22,891 - pyskl - INFO - Epoch [227][500/523] lr: 6.964e-03, eta: 4:58:13, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.9728, top5_acc: 0.9997, loss_cls: 2.2444, loss: 2.2444
2025-06-04 07:57:33,757 - pyskl - INFO - Saving checkpoint at 227 epochs
2025-06-04 07:58:01,782 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 07:58:01,850 - pyskl - INFO -
top1_acc 0.4394
top5_acc 0.6483
2025-06-04 07:58:01,850 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 07:58:01,857 - pyskl - INFO -
mean_acc 0.4399
2025-06-04 07:58:01,858 - pyskl - INFO - Epoch(val) [227][198] top1_acc: 0.4394, top5_acc: 0.6483, mean_class_accuracy: 0.4399
2025-06-04 07:59:11,018 - pyskl - INFO - Epoch [228][100/523] lr: 6.922e-03, eta: 4:57:19, time: 0.692, data_time: 0.252, memory: 7964, top1_acc: 0.9828, top5_acc: 1.0000, loss_cls: 2.2900, loss: 2.2900
2025-06-04 07:59:54,916 - pyskl - INFO - Epoch [228][200/523] lr: 6.887e-03, eta: 4:56:31, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9859, top5_acc: 0.9997, loss_cls: 2.2507, loss: 2.2507
2025-06-04 08:00:39,039 - pyskl - INFO - Epoch [228][300/523] lr: 6.853e-03, eta: 4:55:43, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9866, top5_acc: 1.0000, loss_cls: 2.1893, loss: 2.1893
2025-06-04 08:01:23,389 - pyskl - INFO - Epoch [228][400/523] lr: 6.818e-03, eta: 4:54:56, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 2.2820, loss: 2.2820
2025-06-04 08:02:07,003 - pyskl - INFO - Epoch [228][500/523] lr: 6.784e-03, eta: 4:54:08, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.9841, top5_acc: 0.9997, loss_cls: 2.2445, loss: 2.2445
2025-06-04 08:02:17,786 - pyskl - INFO - Saving checkpoint at 228 epochs
2025-06-04 08:02:46,115 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 08:02:46,184 - pyskl - INFO -
top1_acc 0.4362
top5_acc 0.6328
2025-06-04 08:02:46,184 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 08:02:46,192 - pyskl - INFO -
mean_acc 0.4377
2025-06-04 08:02:46,193 - pyskl - INFO - Epoch(val) [228][198] top1_acc: 0.4362, top5_acc: 0.6328, mean_class_accuracy: 0.4377
2025-06-04 08:03:55,736 - pyskl - INFO - Epoch [229][100/523] lr: 6.742e-03, eta: 4:53:14, time: 0.695, data_time: 0.253, memory: 7964, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 2.2346, loss: 2.2346
2025-06-04 08:04:40,084 - pyskl - INFO - Epoch [229][200/523] lr: 6.708e-03, eta: 4:52:26, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9859, top5_acc: 1.0000, loss_cls: 2.1981, loss: 2.1981
2025-06-04 08:05:24,283 - pyskl - INFO - Epoch [229][300/523] lr: 6.674e-03, eta: 4:51:39, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9816, top5_acc: 0.9997, loss_cls: 2.2751, loss: 2.2751
2025-06-04 08:06:06,860 - pyskl - INFO - Epoch [229][400/523] lr: 6.640e-03, eta: 4:50:50, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.9809, top5_acc: 1.0000, loss_cls: 2.2110, loss: 2.2110
2025-06-04 08:06:51,020 - pyskl - INFO - Epoch [229][500/523] lr: 6.606e-03, eta: 4:50:03, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 2.2455, loss: 2.2455
2025-06-04 08:07:01,670 - pyskl - INFO - Saving checkpoint at 229 epochs
2025-06-04 08:07:29,843 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 08:07:29,912 - pyskl - INFO -
top1_acc 0.4386
top5_acc 0.6402
2025-06-04 08:07:29,912 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 08:07:29,919 - pyskl - INFO -
mean_acc 0.4381
2025-06-04 08:07:29,920 - pyskl - INFO - Epoch(val) [229][198] top1_acc: 0.4386, top5_acc: 0.6402, mean_class_accuracy: 0.4381
2025-06-04 08:08:39,533 - pyskl - INFO - Epoch [230][100/523] lr: 6.564e-03, eta: 4:49:09, time: 0.696, data_time: 0.253, memory: 7964, top1_acc: 0.9872, top5_acc: 1.0000, loss_cls: 2.1711, loss: 2.1711
2025-06-04 08:09:23,710 - pyskl - INFO - Epoch [230][200/523] lr: 6.530e-03, eta: 4:48:21, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 2.2195, loss: 2.2195
2025-06-04 08:10:08,162 - pyskl - INFO - Epoch [230][300/523] lr: 6.497e-03, eta: 4:47:34, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 2.1891, loss: 2.1891
2025-06-04 08:10:51,842 - pyskl - INFO - Epoch [230][400/523] lr: 6.463e-03, eta: 4:46:46, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.9772, top5_acc: 1.0000, loss_cls: 2.2965, loss: 2.2965
2025-06-04 08:11:35,143 - pyskl - INFO - Epoch [230][500/523] lr: 6.429e-03, eta: 4:45:58, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.9772, top5_acc: 0.9997, loss_cls: 2.2305, loss: 2.2305
2025-06-04 08:11:46,029 - pyskl - INFO - Saving checkpoint at 230 epochs
2025-06-04 08:12:14,120 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 08:12:14,188 - pyskl - INFO -
top1_acc 0.4441
top5_acc 0.6499
2025-06-04 08:12:14,188 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 08:12:14,195 - pyskl - INFO -
mean_acc 0.4450
2025-06-04 08:12:14,199 - pyskl - INFO - Epoch(val) [230][198] top1_acc: 0.4441, top5_acc: 0.6499, mean_class_accuracy: 0.4450
2025-06-04 08:13:24,038 - pyskl - INFO - Epoch [231][100/523] lr: 6.388e-03, eta: 4:45:04, time: 0.698, data_time: 0.255, memory: 7964, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 2.2149, loss: 2.2149
2025-06-04 08:14:08,163 - pyskl - INFO - Epoch [231][200/523] lr: 6.355e-03, eta: 4:44:16, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 2.1828, loss: 2.1828
2025-06-04 08:14:52,443 - pyskl - INFO - Epoch [231][300/523] lr: 6.322e-03, eta: 4:43:29, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 2.1507, loss: 2.1507
2025-06-04 08:15:36,123 - pyskl - INFO - Epoch [231][400/523] lr: 6.288e-03, eta: 4:42:41, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.9828, top5_acc: 1.0000, loss_cls: 2.3135, loss: 2.3135
2025-06-04 08:16:18,299 - pyskl - INFO - Epoch [231][500/523] lr: 6.255e-03, eta: 4:41:53, time: 0.422, data_time: 0.000, memory: 7964, top1_acc: 0.9828, top5_acc: 1.0000, loss_cls: 2.2475, loss: 2.2475
2025-06-04 08:16:28,820 - pyskl - INFO - Saving checkpoint at 231 epochs
2025-06-04 08:16:57,242 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 08:16:57,310 - pyskl - INFO -
top1_acc 0.4419
top5_acc 0.6475
2025-06-04 08:16:57,310 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 08:16:57,317 - pyskl - INFO -
mean_acc 0.4424
2025-06-04 08:16:57,318 - pyskl - INFO - Epoch(val) [231][198] top1_acc: 0.4419, top5_acc: 0.6475, mean_class_accuracy: 0.4424
2025-06-04 08:18:06,067 - pyskl - INFO - Epoch [232][100/523] lr: 6.214e-03, eta: 4:40:58, time: 0.687, data_time: 0.257, memory: 7964, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 2.1113, loss: 2.1113
2025-06-04 08:18:50,610 - pyskl - INFO - Epoch [232][200/523] lr: 6.181e-03, eta: 4:40:11, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9878, top5_acc: 1.0000, loss_cls: 2.1611, loss: 2.1611
2025-06-04 08:19:34,409 - pyskl - INFO - Epoch [232][300/523] lr: 6.149e-03, eta: 4:39:23, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.9856, top5_acc: 0.9997, loss_cls: 2.2357, loss: 2.2357
2025-06-04 08:20:17,494 - pyskl - INFO - Epoch [232][400/523] lr: 6.116e-03, eta: 4:38:35, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 2.2900, loss: 2.2900
2025-06-04 08:21:00,993 - pyskl - INFO - Epoch [232][500/523] lr: 6.083e-03, eta: 4:37:47, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 2.1331, loss: 2.1331
2025-06-04 08:21:11,893 - pyskl - INFO - Saving checkpoint at 232 epochs
2025-06-04 08:21:40,047 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 08:21:40,115 - pyskl - INFO -
top1_acc 0.4389
top5_acc 0.6434
2025-06-04 08:21:40,115 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 08:21:40,122 - pyskl - INFO -
mean_acc 0.4397
2025-06-04 08:21:40,123 - pyskl - INFO - Epoch(val) [232][198] top1_acc: 0.4389, top5_acc: 0.6434, mean_class_accuracy: 0.4397
2025-06-04 08:22:49,804 - pyskl - INFO - Epoch [233][100/523] lr: 6.043e-03, eta: 4:36:53, time: 0.697, data_time: 0.253, memory: 7964, top1_acc: 0.9866, top5_acc: 1.0000, loss_cls: 2.1044, loss: 2.1044
2025-06-04 08:23:33,890 - pyskl - INFO - Epoch [233][200/523] lr: 6.010e-03, eta: 4:36:06, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9853, top5_acc: 1.0000, loss_cls: 2.1722, loss: 2.1722
2025-06-04 08:24:17,931 - pyskl - INFO - Epoch [233][300/523] lr: 5.978e-03, eta: 4:35:18, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 2.2019, loss: 2.2019
2025-06-04 08:25:02,018 - pyskl - INFO - Epoch [233][400/523] lr: 5.945e-03, eta: 4:34:30, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 2.1409, loss: 2.1409
2025-06-04 08:25:46,118 - pyskl - INFO - Epoch [233][500/523] lr: 5.913e-03, eta: 4:33:43, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 2.1821, loss: 2.1821
2025-06-04 08:25:56,772 - pyskl - INFO - Saving checkpoint at 233 epochs
2025-06-04 08:26:24,826 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 08:26:24,897 - pyskl - INFO -
top1_acc 0.4420
top5_acc 0.6368
2025-06-04 08:26:24,897 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 08:26:24,905 - pyskl - INFO -
mean_acc 0.4423
2025-06-04 08:26:24,906 - pyskl - INFO - Epoch(val) [233][198] top1_acc: 0.4420, top5_acc: 0.6368, mean_class_accuracy: 0.4423
2025-06-04 08:27:34,651 - pyskl - INFO - Epoch [234][100/523] lr: 5.873e-03, eta: 4:32:49, time: 0.697, data_time: 0.255, memory: 7964, top1_acc: 0.9916, top5_acc: 1.0000, loss_cls: 2.1235, loss: 2.1235
2025-06-04 08:28:18,823 - pyskl - INFO - Epoch [234][200/523] lr: 5.841e-03, eta: 4:32:01, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 2.1258, loss: 2.1258
2025-06-04 08:29:02,017 - pyskl - INFO - Epoch [234][300/523] lr: 5.809e-03, eta: 4:31:13, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.9878, top5_acc: 1.0000, loss_cls: 2.1291, loss: 2.1291
2025-06-04 08:29:45,013 - pyskl - INFO - Epoch [234][400/523] lr: 5.777e-03, eta: 4:30:25, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.9834, top5_acc: 1.0000, loss_cls: 2.1659, loss: 2.1659
2025-06-04 08:30:28,927 - pyskl - INFO - Epoch [234][500/523] lr: 5.745e-03, eta: 4:29:37, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9772, top5_acc: 1.0000, loss_cls: 2.1200, loss: 2.1200
2025-06-04 08:30:39,612 - pyskl - INFO - Saving checkpoint at 234 epochs
2025-06-04 08:31:08,053 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 08:31:08,122 - pyskl - INFO -
top1_acc 0.4498
top5_acc 0.6474
2025-06-04 08:31:08,122 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 08:31:08,129 - pyskl - INFO -
mean_acc 0.4505
2025-06-04 08:31:08,186 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/k_2/best_top1_acc_epoch_225.pth was removed
2025-06-04 08:31:09,739 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_234.pth.
2025-06-04 08:31:09,740 - pyskl - INFO - Best top1_acc is 0.4498 at 234 epoch.
2025-06-04 08:31:09,743 - pyskl - INFO - Epoch(val) [234][198] top1_acc: 0.4498, top5_acc: 0.6474, mean_class_accuracy: 0.4505
2025-06-04 08:32:18,805 - pyskl - INFO - Epoch [235][100/523] lr: 5.706e-03, eta: 4:28:43, time: 0.691, data_time: 0.252, memory: 7964, top1_acc: 0.9869, top5_acc: 0.9997, loss_cls: 2.1020, loss: 2.1020
2025-06-04 08:33:02,935 - pyskl - INFO - Epoch [235][200/523] lr: 5.674e-03, eta: 4:27:55, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9903, top5_acc: 1.0000, loss_cls: 2.0944, loss: 2.0944
2025-06-04 08:33:47,444 - pyskl - INFO - Epoch [235][300/523] lr: 5.642e-03, eta: 4:27:08, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 2.2020, loss: 2.2020
2025-06-04 08:34:31,256 - pyskl - INFO - Epoch [235][400/523] lr: 5.610e-03, eta: 4:26:20, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 2.2199, loss: 2.2199
2025-06-04 08:35:15,020 - pyskl - INFO - Epoch [235][500/523] lr: 5.579e-03, eta: 4:25:33, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.9834, top5_acc: 1.0000, loss_cls: 2.1647, loss: 2.1647
2025-06-04 08:35:25,822 - pyskl - INFO - Saving checkpoint at 235 epochs
2025-06-04 08:35:53,707 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 08:35:53,776 - pyskl - INFO -
top1_acc 0.4355
top5_acc 0.6409
2025-06-04 08:35:53,777 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 08:35:53,784 - pyskl - INFO -
mean_acc 0.4358
2025-06-04 08:35:53,785 - pyskl - INFO - Epoch(val) [235][198] top1_acc: 0.4355, top5_acc: 0.6409, mean_class_accuracy: 0.4358
2025-06-04 08:37:03,717 - pyskl - INFO - Epoch [236][100/523] lr: 5.540e-03, eta: 4:24:38, time: 0.699, data_time: 0.256, memory: 7964, top1_acc: 0.9909, top5_acc: 1.0000, loss_cls: 2.0806, loss: 2.0806
2025-06-04 08:37:48,029 - pyskl - INFO - Epoch [236][200/523] lr: 5.509e-03, eta: 4:23:51, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9884, top5_acc: 1.0000, loss_cls: 2.0393, loss: 2.0393
2025-06-04 08:38:32,226 - pyskl - INFO - Epoch [236][300/523] lr: 5.478e-03, eta: 4:23:03, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 2.1236, loss: 2.1236
2025-06-04 08:39:16,523 - pyskl - INFO - Epoch [236][400/523] lr: 5.446e-03, eta: 4:22:16, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9878, top5_acc: 1.0000, loss_cls: 2.1030, loss: 2.1030
2025-06-04 08:40:00,702 - pyskl - INFO - Epoch [236][500/523] lr: 5.415e-03, eta: 4:21:28, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 2.1410, loss: 2.1410
2025-06-04 08:40:11,541 - pyskl - INFO - Saving checkpoint at 236 epochs
2025-06-04 08:40:39,727 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 08:40:39,796 - pyskl - INFO -
top1_acc 0.4505
top5_acc 0.6477
2025-06-04 08:40:39,796 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 08:40:39,803 - pyskl - INFO -
mean_acc 0.4510
2025-06-04 08:40:39,860 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/k_2/best_top1_acc_epoch_234.pth was removed
2025-06-04 08:40:41,351 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_236.pth.
2025-06-04 08:40:41,353 - pyskl - INFO - Best top1_acc is 0.4505 at 236 epoch.
2025-06-04 08:40:41,356 - pyskl - INFO - Epoch(val) [236][198] top1_acc: 0.4505, top5_acc: 0.6477, mean_class_accuracy: 0.4510
2025-06-04 08:41:50,659 - pyskl - INFO - Epoch [237][100/523] lr: 5.377e-03, eta: 4:20:34, time: 0.693, data_time: 0.249, memory: 7964, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 2.1103, loss: 2.1103
2025-06-04 08:42:35,008 - pyskl - INFO - Epoch [237][200/523] lr: 5.346e-03, eta: 4:19:46, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 2.1091, loss: 2.1091
2025-06-04 08:43:19,292 - pyskl - INFO - Epoch [237][300/523] lr: 5.315e-03, eta: 4:18:59, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 2.0932, loss: 2.0932
2025-06-04 08:44:02,880 - pyskl - INFO - Epoch [237][400/523] lr: 5.284e-03, eta: 4:18:11, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.9856, top5_acc: 0.9997, loss_cls: 2.1456, loss: 2.1456
2025-06-04 08:44:46,115 - pyskl - INFO - Epoch [237][500/523] lr: 5.253e-03, eta: 4:17:23, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.9884, top5_acc: 0.9997, loss_cls: 2.0776, loss: 2.0776
2025-06-04 08:44:56,889 - pyskl - INFO - Saving checkpoint at 237 epochs
2025-06-04 08:45:24,932 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 08:45:25,001 - pyskl - INFO -
top1_acc 0.4466
top5_acc 0.6414
2025-06-04 08:45:25,001 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 08:45:25,008 - pyskl - INFO -
mean_acc 0.4478
2025-06-04 08:45:25,009 - pyskl - INFO - Epoch(val) [237][198] top1_acc: 0.4466, top5_acc: 0.6414, mean_class_accuracy: 0.4478
2025-06-04 08:46:35,004 - pyskl - INFO - Epoch [238][100/523] lr: 5.216e-03, eta: 4:16:29, time: 0.700, data_time: 0.255, memory: 7964, top1_acc: 0.9934, top5_acc: 1.0000, loss_cls: 2.0267, loss: 2.0267
2025-06-04 08:47:19,417 - pyskl - INFO - Epoch [238][200/523] lr: 5.185e-03, eta: 4:15:41, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9909, top5_acc: 1.0000, loss_cls: 2.1133, loss: 2.1133
2025-06-04 08:48:01,782 - pyskl - INFO - Epoch [238][300/523] lr: 5.155e-03, eta: 4:14:53, time: 0.424, data_time: 0.000, memory: 7964, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 2.0983, loss: 2.0983
2025-06-04 08:48:44,609 - pyskl - INFO - Epoch [238][400/523] lr: 5.124e-03, eta: 4:14:05, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.9897, top5_acc: 1.0000, loss_cls: 2.1436, loss: 2.1436
2025-06-04 08:49:28,793 - pyskl - INFO - Epoch [238][500/523] lr: 5.094e-03, eta: 4:13:18, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9897, top5_acc: 0.9997, loss_cls: 2.1092, loss: 2.1092
2025-06-04 08:49:39,634 - pyskl - INFO - Saving checkpoint at 238 epochs
2025-06-04 08:50:07,983 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 08:50:08,050 - pyskl - INFO -
top1_acc 0.4460
top5_acc 0.6442
2025-06-04 08:50:08,051 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 08:50:08,058 - pyskl - INFO -
mean_acc 0.4459
2025-06-04 08:50:08,059 - pyskl - INFO - Epoch(val) [238][198] top1_acc: 0.4460, top5_acc: 0.6442, mean_class_accuracy: 0.4459
2025-06-04 08:51:17,783 - pyskl - INFO - Epoch [239][100/523] lr: 5.057e-03, eta: 4:12:23, time: 0.697, data_time: 0.255, memory: 7964, top1_acc: 0.9894, top5_acc: 0.9997, loss_cls: 2.1474, loss: 2.1474
2025-06-04 08:52:02,166 - pyskl - INFO - Epoch [239][200/523] lr: 5.027e-03, eta: 4:11:36, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 2.1181, loss: 2.1181
2025-06-04 08:52:46,643 - pyskl - INFO - Epoch [239][300/523] lr: 4.997e-03, eta: 4:10:48, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9909, top5_acc: 1.0000, loss_cls: 2.0301, loss: 2.0301
2025-06-04 08:53:29,719 - pyskl - INFO - Epoch [239][400/523] lr: 4.967e-03, eta: 4:10:01, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 2.0924, loss: 2.0924
2025-06-04 08:54:13,203 - pyskl - INFO - Epoch [239][500/523] lr: 4.937e-03, eta: 4:09:13, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.9881, top5_acc: 0.9997, loss_cls: 2.1820, loss: 2.1820
2025-06-04 08:54:23,926 - pyskl - INFO - Saving checkpoint at 239 epochs
2025-06-04 08:54:52,074 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 08:54:52,140 - pyskl - INFO -
top1_acc 0.4360
top5_acc 0.6112
2025-06-04 08:54:52,141 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 08:54:52,147 - pyskl - INFO -
mean_acc 0.4357
2025-06-04 08:54:52,148 - pyskl - INFO - Epoch(val) [239][198] top1_acc: 0.4360, top5_acc: 0.6112, mean_class_accuracy: 0.4357
2025-06-04 08:56:01,783 - pyskl - INFO - Epoch [240][100/523] lr: 4.900e-03, eta: 4:08:18, time: 0.696, data_time: 0.255, memory: 7964, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 2.0084, loss: 2.0084
2025-06-04 08:56:44,972 - pyskl - INFO - Epoch [240][200/523] lr: 4.870e-03, eta: 4:07:31, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 2.0904, loss: 2.0904
2025-06-04 08:57:27,780 - pyskl - INFO - Epoch [240][300/523] lr: 4.841e-03, eta: 4:06:43, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 2.0863, loss: 2.0863
2025-06-04 08:58:11,103 - pyskl - INFO - Epoch [240][400/523] lr: 4.811e-03, eta: 4:05:55, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.9919, top5_acc: 0.9997, loss_cls: 2.0184, loss: 2.0184
2025-06-04 08:58:55,190 - pyskl - INFO - Epoch [240][500/523] lr: 4.782e-03, eta: 4:05:07, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9856, top5_acc: 0.9997, loss_cls: 2.1103, loss: 2.1103
2025-06-04 08:59:06,079 - pyskl - INFO - Saving checkpoint at 240 epochs
2025-06-04 08:59:34,246 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 08:59:34,314 - pyskl - INFO -
top1_acc 0.4505
top5_acc 0.6418
2025-06-04 08:59:34,314 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 08:59:34,320 - pyskl - INFO -
mean_acc 0.4506
2025-06-04 08:59:34,321 - pyskl - INFO - Epoch(val) [240][198] top1_acc: 0.4505, top5_acc: 0.6418, mean_class_accuracy: 0.4506
2025-06-04 09:00:44,052 - pyskl - INFO - Epoch [241][100/523] lr: 4.745e-03, eta: 4:04:13, time: 0.697, data_time: 0.254, memory: 7964, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 2.0621, loss: 2.0621
2025-06-04 09:01:28,411 - pyskl - INFO - Epoch [241][200/523] lr: 4.716e-03, eta: 4:03:25, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9884, top5_acc: 0.9997, loss_cls: 2.0275, loss: 2.0275
2025-06-04 09:02:12,998 - pyskl - INFO - Epoch [241][300/523] lr: 4.687e-03, eta: 4:02:38, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 2.1163, loss: 2.1163
2025-06-04 09:02:57,162 - pyskl - INFO - Epoch [241][400/523] lr: 4.658e-03, eta: 4:01:51, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9884, top5_acc: 1.0000, loss_cls: 2.0527, loss: 2.0527
2025-06-04 09:03:41,116 - pyskl - INFO - Epoch [241][500/523] lr: 4.629e-03, eta: 4:01:03, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9916, top5_acc: 1.0000, loss_cls: 2.0677, loss: 2.0677
2025-06-04 09:03:51,877 - pyskl - INFO - Saving checkpoint at 241 epochs
2025-06-04 09:04:19,914 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 09:04:19,983 - pyskl - INFO -
top1_acc 0.4414
top5_acc 0.6458
2025-06-04 09:04:19,984 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 09:04:19,991 - pyskl - INFO -
mean_acc 0.4409
2025-06-04 09:04:19,992 - pyskl - INFO - Epoch(val) [241][198] top1_acc: 0.4414, top5_acc: 0.6458, mean_class_accuracy: 0.4409
2025-06-04 09:05:29,291 - pyskl - INFO - Epoch [242][100/523] lr: 4.593e-03, eta: 4:00:08, time: 0.693, data_time: 0.253, memory: 7964, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.9577, loss: 1.9577
2025-06-04 09:06:12,705 - pyskl - INFO - Epoch [242][200/523] lr: 4.564e-03, eta: 3:59:21, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.9891, top5_acc: 1.0000, loss_cls: 1.9877, loss: 1.9877
2025-06-04 09:06:55,734 - pyskl - INFO - Epoch [242][300/523] lr: 4.535e-03, eta: 3:58:33, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.9934, top5_acc: 0.9997, loss_cls: 1.9775, loss: 1.9775
2025-06-04 09:07:39,235 - pyskl - INFO - Epoch [242][400/523] lr: 4.507e-03, eta: 3:57:45, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.9897, top5_acc: 1.0000, loss_cls: 1.9682, loss: 1.9682
2025-06-04 09:08:23,091 - pyskl - INFO - Epoch [242][500/523] lr: 4.478e-03, eta: 3:56:58, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9897, top5_acc: 0.9997, loss_cls: 1.9826, loss: 1.9826
2025-06-04 09:08:33,822 - pyskl - INFO - Saving checkpoint at 242 epochs
2025-06-04 09:09:02,044 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 09:09:02,112 - pyskl - INFO -
top1_acc 0.4395
top5_acc 0.6421
2025-06-04 09:09:02,112 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 09:09:02,119 - pyskl - INFO -
mean_acc 0.4406
2025-06-04 09:09:02,121 - pyskl - INFO - Epoch(val) [242][198] top1_acc: 0.4395, top5_acc: 0.6421, mean_class_accuracy: 0.4406
2025-06-04 09:10:11,851 - pyskl - INFO - Epoch [243][100/523] lr: 4.443e-03, eta: 3:56:03, time: 0.697, data_time: 0.256, memory: 7964, top1_acc: 0.9934, top5_acc: 1.0000, loss_cls: 2.0378, loss: 2.0378
2025-06-04 09:10:55,704 - pyskl - INFO - Epoch [243][200/523] lr: 4.415e-03, eta: 3:55:15, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9966, top5_acc: 1.0000, loss_cls: 2.0321, loss: 2.0321
2025-06-04 09:11:39,960 - pyskl - INFO - Epoch [243][300/523] lr: 4.386e-03, eta: 3:54:28, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9903, top5_acc: 1.0000, loss_cls: 2.0434, loss: 2.0434
2025-06-04 09:12:23,808 - pyskl - INFO - Epoch [243][400/523] lr: 4.358e-03, eta: 3:53:40, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.9936, loss: 1.9936
2025-06-04 09:13:07,723 - pyskl - INFO - Epoch [243][500/523] lr: 4.330e-03, eta: 3:52:53, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9941, top5_acc: 0.9997, loss_cls: 2.0416, loss: 2.0416
2025-06-04 09:13:18,432 - pyskl - INFO - Saving checkpoint at 243 epochs
2025-06-04 09:13:46,538 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 09:13:46,606 - pyskl - INFO -
top1_acc 0.4414
top5_acc 0.6439
2025-06-04 09:13:46,607 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 09:13:46,614 - pyskl - INFO -
mean_acc 0.4412
2025-06-04 09:13:46,615 - pyskl - INFO - Epoch(val) [243][198] top1_acc: 0.4414, top5_acc: 0.6439, mean_class_accuracy: 0.4412
2025-06-04 09:14:56,251 - pyskl - INFO - Epoch [244][100/523] lr: 4.295e-03, eta: 3:51:58, time: 0.696, data_time: 0.254, memory: 7964, top1_acc: 0.9928, top5_acc: 1.0000, loss_cls: 1.9317, loss: 1.9317
2025-06-04 09:15:39,632 - pyskl - INFO - Epoch [244][200/523] lr: 4.267e-03, eta: 3:51:10, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.9922, top5_acc: 1.0000, loss_cls: 2.0311, loss: 2.0311
2025-06-04 09:16:23,655 - pyskl - INFO - Epoch [244][300/523] lr: 4.239e-03, eta: 3:50:23, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.9839, loss: 1.9839
2025-06-04 09:17:07,586 - pyskl - INFO - Epoch [244][400/523] lr: 4.211e-03, eta: 3:49:35, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 2.0203, loss: 2.0203
2025-06-04 09:17:51,746 - pyskl - INFO - Epoch [244][500/523] lr: 4.184e-03, eta: 3:48:48, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9897, top5_acc: 1.0000, loss_cls: 2.0002, loss: 2.0002
2025-06-04 09:18:02,546 - pyskl - INFO - Saving checkpoint at 244 epochs
2025-06-04 09:18:30,704 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 09:18:30,776 - pyskl - INFO -
top1_acc 0.4478
top5_acc 0.6477
2025-06-04 09:18:30,776 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 09:18:30,783 - pyskl - INFO -
mean_acc 0.4489
2025-06-04 09:18:30,784 - pyskl - INFO - Epoch(val) [244][198] top1_acc: 0.4478, top5_acc: 0.6477, mean_class_accuracy: 0.4489
2025-06-04 09:19:39,681 - pyskl - INFO - Epoch [245][100/523] lr: 4.150e-03, eta: 3:47:53, time: 0.689, data_time: 0.252, memory: 7964, top1_acc: 0.9953, top5_acc: 0.9997, loss_cls: 1.9276, loss: 1.9276
2025-06-04 09:20:24,137 - pyskl - INFO - Epoch [245][200/523] lr: 4.122e-03, eta: 3:47:05, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9941, top5_acc: 1.0000, loss_cls: 2.0251, loss: 2.0251
2025-06-04 09:21:07,231 - pyskl - INFO - Epoch [245][300/523] lr: 4.095e-03, eta: 3:46:18, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.9928, top5_acc: 1.0000, loss_cls: 2.0254, loss: 2.0254
2025-06-04 09:21:49,334 - pyskl - INFO - Epoch [245][400/523] lr: 4.067e-03, eta: 3:45:30, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.9960, loss: 1.9960
2025-06-04 09:22:31,899 - pyskl - INFO - Epoch [245][500/523] lr: 4.040e-03, eta: 3:44:42, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.9903, top5_acc: 1.0000, loss_cls: 1.9161, loss: 1.9161
2025-06-04 09:22:42,748 - pyskl - INFO - Saving checkpoint at 245 epochs
2025-06-04 09:23:10,705 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 09:23:10,774 - pyskl - INFO -
top1_acc 0.4452
top5_acc 0.6448
2025-06-04 09:23:10,774 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 09:23:10,781 - pyskl - INFO -
mean_acc 0.4459
2025-06-04 09:23:10,783 - pyskl - INFO - Epoch(val) [245][198] top1_acc: 0.4452, top5_acc: 0.6448, mean_class_accuracy: 0.4459
2025-06-04 09:24:18,416 - pyskl - INFO - Epoch [246][100/523] lr: 4.006e-03, eta: 3:43:47, time: 0.676, data_time: 0.256, memory: 7964, top1_acc: 0.9922, top5_acc: 1.0000, loss_cls: 1.9895, loss: 1.9895
2025-06-04 09:25:00,677 - pyskl - INFO - Epoch [246][200/523] lr: 3.979e-03, eta: 3:42:59, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 0.9922, top5_acc: 1.0000, loss_cls: 1.9513, loss: 1.9513
2025-06-04 09:25:43,577 - pyskl - INFO - Epoch [246][300/523] lr: 3.952e-03, eta: 3:42:11, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 2.0074, loss: 2.0074
2025-06-04 09:26:26,442 - pyskl - INFO - Epoch [246][400/523] lr: 3.925e-03, eta: 3:41:23, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.9922, top5_acc: 1.0000, loss_cls: 2.0108, loss: 2.0108
2025-06-04 09:27:10,406 - pyskl - INFO - Epoch [246][500/523] lr: 3.898e-03, eta: 3:40:36, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 2.0183, loss: 2.0183
2025-06-04 09:27:21,209 - pyskl - INFO - Saving checkpoint at 246 epochs
2025-06-04 09:27:49,373 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 09:27:49,443 - pyskl - INFO -
top1_acc 0.4466
top5_acc 0.6444
2025-06-04 09:27:49,443 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 09:27:49,450 - pyskl - INFO -
mean_acc 0.4473
2025-06-04 09:27:49,452 - pyskl - INFO - Epoch(val) [246][198] top1_acc: 0.4466, top5_acc: 0.6444, mean_class_accuracy: 0.4473
2025-06-04 09:28:56,867 - pyskl - INFO - Epoch [247][100/523] lr: 3.865e-03, eta: 3:39:40, time: 0.674, data_time: 0.255, memory: 7964, top1_acc: 0.9966, top5_acc: 1.0000, loss_cls: 1.9215, loss: 1.9215
2025-06-04 09:29:40,863 - pyskl - INFO - Epoch [247][200/523] lr: 3.839e-03, eta: 3:38:53, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.8746, loss: 1.8746
2025-06-04 09:30:24,911 - pyskl - INFO - Epoch [247][300/523] lr: 3.812e-03, eta: 3:38:06, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.8747, loss: 1.8747
2025-06-04 09:31:08,528 - pyskl - INFO - Epoch [247][400/523] lr: 3.785e-03, eta: 3:37:18, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.9947, top5_acc: 1.0000, loss_cls: 1.9893, loss: 1.9893
2025-06-04 09:31:52,793 - pyskl - INFO - Epoch [247][500/523] lr: 3.759e-03, eta: 3:36:31, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9959, top5_acc: 1.0000, loss_cls: 1.9380, loss: 1.9380
2025-06-04 09:32:03,682 - pyskl - INFO - Saving checkpoint at 247 epochs
2025-06-04 09:32:31,797 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 09:32:31,865 - pyskl - INFO -
top1_acc 0.4495
top5_acc 0.6452
2025-06-04 09:32:31,866 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 09:32:31,873 - pyskl - INFO -
mean_acc 0.4508
2025-06-04 09:32:31,874 - pyskl - INFO - Epoch(val) [247][198] top1_acc: 0.4495, top5_acc: 0.6452, mean_class_accuracy: 0.4508
2025-06-04 09:33:41,373 - pyskl - INFO - Epoch [248][100/523] lr: 3.727e-03, eta: 3:35:36, time: 0.695, data_time: 0.254, memory: 7964, top1_acc: 0.9959, top5_acc: 1.0000, loss_cls: 1.9949, loss: 1.9949
2025-06-04 09:34:25,512 - pyskl - INFO - Epoch [248][200/523] lr: 3.700e-03, eta: 3:34:48, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9966, top5_acc: 1.0000, loss_cls: 1.9079, loss: 1.9079
2025-06-04 09:35:09,677 - pyskl - INFO - Epoch [248][300/523] lr: 3.674e-03, eta: 3:34:01, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.8762, loss: 1.8762
2025-06-04 09:35:53,194 - pyskl - INFO - Epoch [248][400/523] lr: 3.648e-03, eta: 3:33:13, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.9938, top5_acc: 0.9997, loss_cls: 1.8890, loss: 1.8890
2025-06-04 09:36:36,590 - pyskl - INFO - Epoch [248][500/523] lr: 3.622e-03, eta: 3:32:26, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.9916, top5_acc: 0.9997, loss_cls: 1.9151, loss: 1.9151
2025-06-04 09:36:47,461 - pyskl - INFO - Saving checkpoint at 248 epochs
2025-06-04 09:37:15,598 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 09:37:15,667 - pyskl - INFO -
top1_acc 0.4495
top5_acc 0.6421
2025-06-04 09:37:15,667 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 09:37:15,674 - pyskl - INFO -
mean_acc 0.4501
2025-06-04 09:37:15,675 - pyskl - INFO - Epoch(val) [248][198] top1_acc: 0.4495, top5_acc: 0.6421, mean_class_accuracy: 0.4501
2025-06-04 09:38:24,020 - pyskl - INFO - Epoch [249][100/523] lr: 3.590e-03, eta: 3:31:30, time: 0.683, data_time: 0.252, memory: 7964, top1_acc: 0.9959, top5_acc: 1.0000, loss_cls: 1.8330, loss: 1.8330
2025-06-04 09:39:07,721 - pyskl - INFO - Epoch [249][200/523] lr: 3.564e-03, eta: 3:30:43, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.9950, top5_acc: 0.9997, loss_cls: 1.9508, loss: 1.9508
2025-06-04 09:39:51,424 - pyskl - INFO - Epoch [249][300/523] lr: 3.539e-03, eta: 3:29:55, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.9928, top5_acc: 1.0000, loss_cls: 1.9832, loss: 1.9832
2025-06-04 09:40:34,311 - pyskl - INFO - Epoch [249][400/523] lr: 3.513e-03, eta: 3:29:08, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.9808, loss: 1.9808
2025-06-04 09:41:18,617 - pyskl - INFO - Epoch [249][500/523] lr: 3.488e-03, eta: 3:28:20, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9959, top5_acc: 1.0000, loss_cls: 1.9958, loss: 1.9958
2025-06-04 09:41:29,534 - pyskl - INFO - Saving checkpoint at 249 epochs
2025-06-04 09:41:57,440 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 09:41:57,511 - pyskl - INFO -
top1_acc 0.4452
top5_acc 0.6477
2025-06-04 09:41:57,511 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 09:41:57,518 - pyskl - INFO -
mean_acc 0.4457
2025-06-04 09:41:57,520 - pyskl - INFO - Epoch(val) [249][198] top1_acc: 0.4452, top5_acc: 0.6477, mean_class_accuracy: 0.4457
2025-06-04 09:43:07,179 - pyskl - INFO - Epoch [250][100/523] lr: 3.456e-03, eta: 3:27:25, time: 0.697, data_time: 0.252, memory: 7964, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.9234, loss: 1.9234
2025-06-04 09:43:51,563 - pyskl - INFO - Epoch [250][200/523] lr: 3.431e-03, eta: 3:26:38, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.8686, loss: 1.8686
2025-06-04 09:44:35,976 - pyskl - INFO - Epoch [250][300/523] lr: 3.406e-03, eta: 3:25:51, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.9206, loss: 1.9206
2025-06-04 09:45:19,529 - pyskl - INFO - Epoch [250][400/523] lr: 3.380e-03, eta: 3:25:03, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.9934, top5_acc: 1.0000, loss_cls: 1.9461, loss: 1.9461
2025-06-04 09:46:03,417 - pyskl - INFO - Epoch [250][500/523] lr: 3.355e-03, eta: 3:24:16, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9928, top5_acc: 1.0000, loss_cls: 1.8848, loss: 1.8848
2025-06-04 09:46:14,179 - pyskl - INFO - Saving checkpoint at 250 epochs
2025-06-04 09:46:42,152 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 09:46:42,220 - pyskl - INFO -
top1_acc 0.4481
top5_acc 0.6480
2025-06-04 09:46:42,220 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 09:46:42,228 - pyskl - INFO -
mean_acc 0.4491
2025-06-04 09:46:42,229 - pyskl - INFO - Epoch(val) [250][198] top1_acc: 0.4481, top5_acc: 0.6480, mean_class_accuracy: 0.4491
2025-06-04 09:47:51,229 - pyskl - INFO - Epoch [251][100/523] lr: 3.325e-03, eta: 3:23:20, time: 0.690, data_time: 0.254, memory: 7964, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.8778, loss: 1.8778
2025-06-04 09:48:34,511 - pyskl - INFO - Epoch [251][200/523] lr: 3.300e-03, eta: 3:22:33, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.9953, top5_acc: 1.0000, loss_cls: 1.8172, loss: 1.8172
2025-06-04 09:49:17,656 - pyskl - INFO - Epoch [251][300/523] lr: 3.275e-03, eta: 3:21:45, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.9959, top5_acc: 1.0000, loss_cls: 1.8693, loss: 1.8693
2025-06-04 09:50:01,448 - pyskl - INFO - Epoch [251][400/523] lr: 3.250e-03, eta: 3:20:58, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.9984, top5_acc: 1.0000, loss_cls: 1.8329, loss: 1.8329
2025-06-04 09:50:45,594 - pyskl - INFO - Epoch [251][500/523] lr: 3.226e-03, eta: 3:20:10, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.8669, loss: 1.8669
2025-06-04 09:50:56,379 - pyskl - INFO - Saving checkpoint at 251 epochs
2025-06-04 09:51:24,609 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 09:51:24,677 - pyskl - INFO -
top1_acc 0.4455
top5_acc 0.6461
2025-06-04 09:51:24,677 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 09:51:24,684 - pyskl - INFO -
mean_acc 0.4457
2025-06-04 09:51:24,685 - pyskl - INFO - Epoch(val) [251][198] top1_acc: 0.4455, top5_acc: 0.6461, mean_class_accuracy: 0.4457
2025-06-04 09:52:34,377 - pyskl - INFO - Epoch [252][100/523] lr: 3.195e-03, eta: 3:19:15, time: 0.697, data_time: 0.255, memory: 7964, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.8587, loss: 1.8587
2025-06-04 09:53:18,358 - pyskl - INFO - Epoch [252][200/523] lr: 3.171e-03, eta: 3:18:28, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9956, top5_acc: 0.9997, loss_cls: 1.8393, loss: 1.8393
2025-06-04 09:54:02,375 - pyskl - INFO - Epoch [252][300/523] lr: 3.147e-03, eta: 3:17:40, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9978, top5_acc: 1.0000, loss_cls: 1.7885, loss: 1.7885
2025-06-04 09:54:46,388 - pyskl - INFO - Epoch [252][400/523] lr: 3.122e-03, eta: 3:16:53, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.8669, loss: 1.8669
2025-06-04 09:55:30,651 - pyskl - INFO - Epoch [252][500/523] lr: 3.098e-03, eta: 3:16:06, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9959, top5_acc: 1.0000, loss_cls: 1.8672, loss: 1.8672
2025-06-04 09:55:41,547 - pyskl - INFO - Saving checkpoint at 252 epochs
2025-06-04 09:56:09,866 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 09:56:09,937 - pyskl - INFO -
top1_acc 0.4511
top5_acc 0.6521
2025-06-04 09:56:09,938 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 09:56:09,946 - pyskl - INFO -
mean_acc 0.4512
2025-06-04 09:56:10,005 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/k_2/best_top1_acc_epoch_236.pth was removed
2025-06-04 09:56:11,529 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_252.pth.
2025-06-04 09:56:11,531 - pyskl - INFO - Best top1_acc is 0.4511 at 252 epoch.
2025-06-04 09:56:11,534 - pyskl - INFO - Epoch(val) [252][198] top1_acc: 0.4511, top5_acc: 0.6521, mean_class_accuracy: 0.4512
2025-06-04 09:57:21,512 - pyskl - INFO - Epoch [253][100/523] lr: 3.069e-03, eta: 3:15:10, time: 0.700, data_time: 0.255, memory: 7964, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.8200, loss: 1.8200
2025-06-04 09:58:05,891 - pyskl - INFO - Epoch [253][200/523] lr: 3.045e-03, eta: 3:14:23, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9928, top5_acc: 1.0000, loss_cls: 1.8189, loss: 1.8189
2025-06-04 09:58:49,692 - pyskl - INFO - Epoch [253][300/523] lr: 3.021e-03, eta: 3:13:36, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.9941, top5_acc: 1.0000, loss_cls: 1.8659, loss: 1.8659
2025-06-04 09:59:33,669 - pyskl - INFO - Epoch [253][400/523] lr: 2.997e-03, eta: 3:12:48, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9953, top5_acc: 1.0000, loss_cls: 1.7917, loss: 1.7917
2025-06-04 10:00:18,024 - pyskl - INFO - Epoch [253][500/523] lr: 2.973e-03, eta: 3:12:01, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9966, top5_acc: 1.0000, loss_cls: 1.7971, loss: 1.7971
2025-06-04 10:00:28,870 - pyskl - INFO - Saving checkpoint at 253 epochs
2025-06-04 10:00:57,486 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 10:00:57,554 - pyskl - INFO -
top1_acc 0.4535
top5_acc 0.6515
2025-06-04 10:00:57,555 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 10:00:57,561 - pyskl - INFO -
mean_acc 0.4533
2025-06-04 10:00:57,621 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/k_2/best_top1_acc_epoch_252.pth was removed
2025-06-04 10:00:59,149 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_253.pth.
2025-06-04 10:00:59,150 - pyskl - INFO - Best top1_acc is 0.4535 at 253 epoch.
2025-06-04 10:00:59,152 - pyskl - INFO - Epoch(val) [253][198] top1_acc: 0.4535, top5_acc: 0.6515, mean_class_accuracy: 0.4533
2025-06-04 10:02:10,345 - pyskl - INFO - Epoch [254][100/523] lr: 2.944e-03, eta: 3:11:06, time: 0.712, data_time: 0.278, memory: 7964, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.7979, loss: 1.7979
2025-06-04 10:02:54,563 - pyskl - INFO - Epoch [254][200/523] lr: 2.921e-03, eta: 3:10:19, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.8324, loss: 1.8324
2025-06-04 10:03:38,703 - pyskl - INFO - Epoch [254][300/523] lr: 2.897e-03, eta: 3:09:31, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9972, top5_acc: 1.0000, loss_cls: 1.8151, loss: 1.8151
2025-06-04 10:04:22,055 - pyskl - INFO - Epoch [254][400/523] lr: 2.874e-03, eta: 3:08:44, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.9959, top5_acc: 1.0000, loss_cls: 1.7730, loss: 1.7730
2025-06-04 10:05:05,913 - pyskl - INFO - Epoch [254][500/523] lr: 2.850e-03, eta: 3:07:57, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9978, top5_acc: 1.0000, loss_cls: 1.8456, loss: 1.8456
2025-06-04 10:05:16,700 - pyskl - INFO - Saving checkpoint at 254 epochs
2025-06-04 10:05:45,001 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 10:05:45,068 - pyskl - INFO -
top1_acc 0.4482
top5_acc 0.6496
2025-06-04 10:05:45,069 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 10:05:45,077 - pyskl - INFO -
mean_acc 0.4481
2025-06-04 10:05:45,078 - pyskl - INFO - Epoch(val) [254][198] top1_acc: 0.4482, top5_acc: 0.6496, mean_class_accuracy: 0.4481
2025-06-04 10:06:54,820 - pyskl - INFO - Epoch [255][100/523] lr: 2.822e-03, eta: 3:07:01, time: 0.697, data_time: 0.255, memory: 7964, top1_acc: 0.9966, top5_acc: 1.0000, loss_cls: 1.8776, loss: 1.8776
2025-06-04 10:07:38,340 - pyskl - INFO - Epoch [255][200/523] lr: 2.799e-03, eta: 3:06:14, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.9978, top5_acc: 1.0000, loss_cls: 1.7291, loss: 1.7291
2025-06-04 10:08:21,763 - pyskl - INFO - Epoch [255][300/523] lr: 2.776e-03, eta: 3:05:26, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.8057, loss: 1.8057
2025-06-04 10:09:06,072 - pyskl - INFO - Epoch [255][400/523] lr: 2.753e-03, eta: 3:04:39, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9972, top5_acc: 1.0000, loss_cls: 1.8155, loss: 1.8155
2025-06-04 10:09:50,013 - pyskl - INFO - Epoch [255][500/523] lr: 2.730e-03, eta: 3:03:52, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9972, top5_acc: 1.0000, loss_cls: 1.8703, loss: 1.8703
2025-06-04 10:10:00,866 - pyskl - INFO - Saving checkpoint at 255 epochs
2025-06-04 10:10:28,932 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 10:10:29,000 - pyskl - INFO -
top1_acc 0.4516
top5_acc 0.6469
2025-06-04 10:10:29,000 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 10:10:29,007 - pyskl - INFO -
mean_acc 0.4515
2025-06-04 10:10:29,008 - pyskl - INFO - Epoch(val) [255][198] top1_acc: 0.4516, top5_acc: 0.6469, mean_class_accuracy: 0.4515
2025-06-04 10:11:38,791 - pyskl - INFO - Epoch [256][100/523] lr: 2.702e-03, eta: 3:02:56, time: 0.698, data_time: 0.253, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 1.7809, loss: 1.7809
2025-06-04 10:12:23,174 - pyskl - INFO - Epoch [256][200/523] lr: 2.680e-03, eta: 3:02:09, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.8208, loss: 1.8208
2025-06-04 10:13:07,259 - pyskl - INFO - Epoch [256][300/523] lr: 2.657e-03, eta: 3:01:22, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9984, top5_acc: 1.0000, loss_cls: 1.7618, loss: 1.7618
2025-06-04 10:13:49,556 - pyskl - INFO - Epoch [256][400/523] lr: 2.635e-03, eta: 3:00:34, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 0.9947, top5_acc: 0.9997, loss_cls: 1.8543, loss: 1.8543
2025-06-04 10:14:33,288 - pyskl - INFO - Epoch [256][500/523] lr: 2.613e-03, eta: 2:59:47, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.9959, top5_acc: 1.0000, loss_cls: 1.7711, loss: 1.7711
2025-06-04 10:14:43,968 - pyskl - INFO - Saving checkpoint at 256 epochs
2025-06-04 10:15:11,934 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 10:15:12,001 - pyskl - INFO -
top1_acc 0.4427
top5_acc 0.6409
2025-06-04 10:15:12,001 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 10:15:12,008 - pyskl - INFO -
mean_acc 0.4426
2025-06-04 10:15:12,009 - pyskl - INFO - Epoch(val) [256][198] top1_acc: 0.4427, top5_acc: 0.6409, mean_class_accuracy: 0.4426
2025-06-04 10:16:20,088 - pyskl - INFO - Epoch [257][100/523] lr: 2.585e-03, eta: 2:58:51, time: 0.681, data_time: 0.256, memory: 7964, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.7988, loss: 1.7988
2025-06-04 10:17:03,953 - pyskl - INFO - Epoch [257][200/523] lr: 2.563e-03, eta: 2:58:03, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.6890, loss: 1.6890
2025-06-04 10:17:46,975 - pyskl - INFO - Epoch [257][300/523] lr: 2.541e-03, eta: 2:57:16, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.9978, top5_acc: 1.0000, loss_cls: 1.7460, loss: 1.7460
2025-06-04 10:18:30,936 - pyskl - INFO - Epoch [257][400/523] lr: 2.519e-03, eta: 2:56:29, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9959, top5_acc: 1.0000, loss_cls: 1.7587, loss: 1.7587
2025-06-04 10:19:14,956 - pyskl - INFO - Epoch [257][500/523] lr: 2.497e-03, eta: 2:55:41, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9966, top5_acc: 1.0000, loss_cls: 1.7827, loss: 1.7827
2025-06-04 10:19:25,735 - pyskl - INFO - Saving checkpoint at 257 epochs
2025-06-04 10:19:53,983 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 10:19:54,052 - pyskl - INFO -
top1_acc 0.4485
top5_acc 0.6453
2025-06-04 10:19:54,053 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 10:19:54,060 - pyskl - INFO -
mean_acc 0.4495
2025-06-04 10:19:54,062 - pyskl - INFO - Epoch(val) [257][198] top1_acc: 0.4485, top5_acc: 0.6453, mean_class_accuracy: 0.4495
2025-06-04 10:21:03,967 - pyskl - INFO - Epoch [258][100/523] lr: 2.471e-03, eta: 2:54:46, time: 0.699, data_time: 0.259, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 1.7397, loss: 1.7397
2025-06-04 10:21:47,966 - pyskl - INFO - Epoch [258][200/523] lr: 2.449e-03, eta: 2:53:58, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.8357, loss: 1.8357
2025-06-04 10:22:31,876 - pyskl - INFO - Epoch [258][300/523] lr: 2.427e-03, eta: 2:53:11, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.8079, loss: 1.8079
2025-06-04 10:23:15,816 - pyskl - INFO - Epoch [258][400/523] lr: 2.406e-03, eta: 2:52:24, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.8049, loss: 1.8049
2025-06-04 10:23:59,861 - pyskl - INFO - Epoch [258][500/523] lr: 2.384e-03, eta: 2:51:37, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9978, top5_acc: 1.0000, loss_cls: 1.7480, loss: 1.7480
2025-06-04 10:24:10,787 - pyskl - INFO - Saving checkpoint at 258 epochs
2025-06-04 10:24:38,997 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 10:24:39,066 - pyskl - INFO -
top1_acc 0.4516
top5_acc 0.6513
2025-06-04 10:24:39,066 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 10:24:39,073 - pyskl - INFO -
mean_acc 0.4524
2025-06-04 10:24:39,074 - pyskl - INFO - Epoch(val) [258][198] top1_acc: 0.4516, top5_acc: 0.6513, mean_class_accuracy: 0.4524
2025-06-04 10:25:48,707 - pyskl - INFO - Epoch [259][100/523] lr: 2.358e-03, eta: 2:50:41, time: 0.696, data_time: 0.255, memory: 7964, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.6601, loss: 1.6601
2025-06-04 10:26:32,821 - pyskl - INFO - Epoch [259][200/523] lr: 2.337e-03, eta: 2:49:54, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9978, top5_acc: 1.0000, loss_cls: 1.7555, loss: 1.7555
2025-06-04 10:27:16,246 - pyskl - INFO - Epoch [259][300/523] lr: 2.316e-03, eta: 2:49:06, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.9978, top5_acc: 1.0000, loss_cls: 1.8146, loss: 1.8146
2025-06-04 10:28:00,711 - pyskl - INFO - Epoch [259][400/523] lr: 2.295e-03, eta: 2:48:19, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9959, top5_acc: 1.0000, loss_cls: 1.7265, loss: 1.7265
2025-06-04 10:28:45,191 - pyskl - INFO - Epoch [259][500/523] lr: 2.274e-03, eta: 2:47:32, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9966, top5_acc: 1.0000, loss_cls: 1.7533, loss: 1.7533
2025-06-04 10:28:56,094 - pyskl - INFO - Saving checkpoint at 259 epochs
2025-06-04 10:29:24,146 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 10:29:24,213 - pyskl - INFO -
top1_acc 0.4544
top5_acc 0.6491
2025-06-04 10:29:24,213 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 10:29:24,219 - pyskl - INFO -
mean_acc 0.4545
2025-06-04 10:29:24,277 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/k_2/best_top1_acc_epoch_253.pth was removed
2025-06-04 10:29:25,758 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_259.pth.
2025-06-04 10:29:25,760 - pyskl - INFO - Best top1_acc is 0.4544 at 259 epoch.
2025-06-04 10:29:25,762 - pyskl - INFO - Epoch(val) [259][198] top1_acc: 0.4544, top5_acc: 0.6491, mean_class_accuracy: 0.4545
2025-06-04 10:30:34,268 - pyskl - INFO - Epoch [260][100/523] lr: 2.249e-03, eta: 2:46:36, time: 0.685, data_time: 0.249, memory: 7964, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.7107, loss: 1.7107
2025-06-04 10:31:18,499 - pyskl - INFO - Epoch [260][200/523] lr: 2.228e-03, eta: 2:45:49, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.7142, loss: 1.7142
2025-06-04 10:32:02,429 - pyskl - INFO - Epoch [260][300/523] lr: 2.207e-03, eta: 2:45:01, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9966, top5_acc: 1.0000, loss_cls: 1.6715, loss: 1.6715
2025-06-04 10:32:46,091 - pyskl - INFO - Epoch [260][400/523] lr: 2.187e-03, eta: 2:44:14, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.9984, top5_acc: 1.0000, loss_cls: 1.7263, loss: 1.7263
2025-06-04 10:33:29,752 - pyskl - INFO - Epoch [260][500/523] lr: 2.166e-03, eta: 2:43:27, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.9978, top5_acc: 1.0000, loss_cls: 1.7226, loss: 1.7226
2025-06-04 10:33:40,491 - pyskl - INFO - Saving checkpoint at 260 epochs
2025-06-04 10:34:08,672 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 10:34:08,743 - pyskl - INFO -
top1_acc 0.4596
top5_acc 0.6467
2025-06-04 10:34:08,743 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 10:34:08,750 - pyskl - INFO -
mean_acc 0.4605
2025-06-04 10:34:08,807 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/k_2/best_top1_acc_epoch_259.pth was removed
2025-06-04 10:34:10,378 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_260.pth.
2025-06-04 10:34:10,380 - pyskl - INFO - Best top1_acc is 0.4596 at 260 epoch.
2025-06-04 10:34:10,382 - pyskl - INFO - Epoch(val) [260][198] top1_acc: 0.4596, top5_acc: 0.6467, mean_class_accuracy: 0.4605
2025-06-04 10:35:18,096 - pyskl - INFO - Epoch [261][100/523] lr: 2.141e-03, eta: 2:42:31, time: 0.677, data_time: 0.253, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.6656, loss: 1.6656
2025-06-04 10:36:02,266 - pyskl - INFO - Epoch [261][200/523] lr: 2.121e-03, eta: 2:41:44, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9978, top5_acc: 1.0000, loss_cls: 1.7552, loss: 1.7552
2025-06-04 10:36:45,921 - pyskl - INFO - Epoch [261][300/523] lr: 2.101e-03, eta: 2:40:56, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.7103, loss: 1.7103
2025-06-04 10:37:29,516 - pyskl - INFO - Epoch [261][400/523] lr: 2.081e-03, eta: 2:40:09, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.9984, top5_acc: 1.0000, loss_cls: 1.6325, loss: 1.6325
2025-06-04 10:38:13,502 - pyskl - INFO - Epoch [261][500/523] lr: 2.061e-03, eta: 2:39:22, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9972, top5_acc: 1.0000, loss_cls: 1.7266, loss: 1.7266
2025-06-04 10:38:24,343 - pyskl - INFO - Saving checkpoint at 261 epochs
2025-06-04 10:38:52,470 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 10:38:52,537 - pyskl - INFO -
top1_acc 0.4555
top5_acc 0.6464
2025-06-04 10:38:52,537 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 10:38:52,547 - pyskl - INFO -
mean_acc 0.4557
2025-06-04 10:38:52,549 - pyskl - INFO - Epoch(val) [261][198] top1_acc: 0.4555, top5_acc: 0.6464, mean_class_accuracy: 0.4557
2025-06-04 10:40:02,163 - pyskl - INFO - Epoch [262][100/523] lr: 2.036e-03, eta: 2:38:26, time: 0.696, data_time: 0.251, memory: 7964, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.6498, loss: 1.6498
2025-06-04 10:40:45,575 - pyskl - INFO - Epoch [262][200/523] lr: 2.017e-03, eta: 2:37:38, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 1.7106, loss: 1.7106
2025-06-04 10:41:29,339 - pyskl - INFO - Epoch [262][300/523] lr: 1.997e-03, eta: 2:36:51, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.9978, top5_acc: 1.0000, loss_cls: 1.6448, loss: 1.6448
2025-06-04 10:42:12,214 - pyskl - INFO - Epoch [262][400/523] lr: 1.978e-03, eta: 2:36:04, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.9978, top5_acc: 1.0000, loss_cls: 1.7231, loss: 1.7231
2025-06-04 10:42:55,643 - pyskl - INFO - Epoch [262][500/523] lr: 1.958e-03, eta: 2:35:16, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 1.6907, loss: 1.6907
2025-06-04 10:43:06,489 - pyskl - INFO - Saving checkpoint at 262 epochs
2025-06-04 10:43:34,742 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 10:43:34,810 - pyskl - INFO -
top1_acc 0.4547
top5_acc 0.6493
2025-06-04 10:43:34,810 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 10:43:34,818 - pyskl - INFO -
mean_acc 0.4557
2025-06-04 10:43:34,819 - pyskl - INFO - Epoch(val) [262][198] top1_acc: 0.4547, top5_acc: 0.6493, mean_class_accuracy: 0.4557
2025-06-04 10:44:43,624 - pyskl - INFO - Epoch [263][100/523] lr: 1.934e-03, eta: 2:34:20, time: 0.688, data_time: 0.256, memory: 7964, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.6979, loss: 1.6979
2025-06-04 10:45:27,763 - pyskl - INFO - Epoch [263][200/523] lr: 1.915e-03, eta: 2:33:33, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 1.5871, loss: 1.5871
2025-06-04 10:46:11,861 - pyskl - INFO - Epoch [263][300/523] lr: 1.896e-03, eta: 2:32:46, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9984, top5_acc: 1.0000, loss_cls: 1.7097, loss: 1.7097
2025-06-04 10:46:55,773 - pyskl - INFO - Epoch [263][400/523] lr: 1.877e-03, eta: 2:31:59, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.7125, loss: 1.7125
2025-06-04 10:47:40,089 - pyskl - INFO - Epoch [263][500/523] lr: 1.858e-03, eta: 2:31:12, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 1.7170, loss: 1.7170
2025-06-04 10:47:50,904 - pyskl - INFO - Saving checkpoint at 263 epochs
2025-06-04 10:48:19,265 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 10:48:19,336 - pyskl - INFO -
top1_acc 0.4590
top5_acc 0.6475
2025-06-04 10:48:19,336 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 10:48:19,345 - pyskl - INFO -
mean_acc 0.4593
2025-06-04 10:48:19,346 - pyskl - INFO - Epoch(val) [263][198] top1_acc: 0.4590, top5_acc: 0.6475, mean_class_accuracy: 0.4593
2025-06-04 10:49:29,359 - pyskl - INFO - Epoch [264][100/523] lr: 1.835e-03, eta: 2:30:16, time: 0.700, data_time: 0.256, memory: 7964, top1_acc: 0.9984, top5_acc: 1.0000, loss_cls: 1.6378, loss: 1.6378
2025-06-04 10:50:13,558 - pyskl - INFO - Epoch [264][200/523] lr: 1.816e-03, eta: 2:29:29, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.7029, loss: 1.7029
2025-06-04 10:50:57,580 - pyskl - INFO - Epoch [264][300/523] lr: 1.797e-03, eta: 2:28:41, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9966, top5_acc: 1.0000, loss_cls: 1.7263, loss: 1.7263
2025-06-04 10:51:41,937 - pyskl - INFO - Epoch [264][400/523] lr: 1.779e-03, eta: 2:27:54, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.6616, loss: 1.6616
2025-06-04 10:52:25,774 - pyskl - INFO - Epoch [264][500/523] lr: 1.760e-03, eta: 2:27:07, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.9984, top5_acc: 1.0000, loss_cls: 1.6560, loss: 1.6560
2025-06-04 10:52:36,563 - pyskl - INFO - Saving checkpoint at 264 epochs
2025-06-04 10:53:04,754 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 10:53:04,821 - pyskl - INFO -
top1_acc 0.4576
top5_acc 0.6547
2025-06-04 10:53:04,821 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 10:53:04,828 - pyskl - INFO -
mean_acc 0.4573
2025-06-04 10:53:04,829 - pyskl - INFO - Epoch(val) [264][198] top1_acc: 0.4576, top5_acc: 0.6547, mean_class_accuracy: 0.4573
2025-06-04 10:54:14,722 - pyskl - INFO - Epoch [265][100/523] lr: 1.737e-03, eta: 2:26:11, time: 0.699, data_time: 0.253, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 1.6950, loss: 1.6950
2025-06-04 10:54:59,096 - pyskl - INFO - Epoch [265][200/523] lr: 1.719e-03, eta: 2:25:24, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.6983, loss: 1.6983
2025-06-04 10:55:43,448 - pyskl - INFO - Epoch [265][300/523] lr: 1.701e-03, eta: 2:24:37, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.6842, loss: 1.6842
2025-06-04 10:56:27,391 - pyskl - INFO - Epoch [265][400/523] lr: 1.683e-03, eta: 2:23:49, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 1.6705, loss: 1.6705
2025-06-04 10:57:11,935 - pyskl - INFO - Epoch [265][500/523] lr: 1.665e-03, eta: 2:23:02, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.6636, loss: 1.6636
2025-06-04 10:57:22,854 - pyskl - INFO - Saving checkpoint at 265 epochs
2025-06-04 10:57:51,250 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 10:57:51,317 - pyskl - INFO -
top1_acc 0.4611
top5_acc 0.6518
2025-06-04 10:57:51,317 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 10:57:51,324 - pyskl - INFO -
mean_acc 0.4618
2025-06-04 10:57:51,391 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/k_2/best_top1_acc_epoch_260.pth was removed
2025-06-04 10:57:52,891 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_265.pth.
2025-06-04 10:57:52,892 - pyskl - INFO - Best top1_acc is 0.4611 at 265 epoch.
2025-06-04 10:57:52,894 - pyskl - INFO - Epoch(val) [265][198] top1_acc: 0.4611, top5_acc: 0.6518, mean_class_accuracy: 0.4618
2025-06-04 10:59:01,344 - pyskl - INFO - Epoch [266][100/523] lr: 1.643e-03, eta: 2:22:06, time: 0.684, data_time: 0.254, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.6364, loss: 1.6364
2025-06-04 10:59:45,205 - pyskl - INFO - Epoch [266][200/523] lr: 1.625e-03, eta: 2:21:19, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 1.6891, loss: 1.6891
2025-06-04 11:00:27,625 - pyskl - INFO - Epoch [266][300/523] lr: 1.607e-03, eta: 2:20:31, time: 0.424, data_time: 0.000, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 1.6984, loss: 1.6984
2025-06-04 11:01:11,375 - pyskl - INFO - Epoch [266][400/523] lr: 1.590e-03, eta: 2:19:44, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 1.6846, loss: 1.6846
2025-06-04 11:01:55,300 - pyskl - INFO - Epoch [266][500/523] lr: 1.572e-03, eta: 2:18:57, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.6613, loss: 1.6613
2025-06-04 11:02:06,027 - pyskl - INFO - Saving checkpoint at 266 epochs
2025-06-04 11:02:34,078 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 11:02:34,144 - pyskl - INFO -
top1_acc 0.4550
top5_acc 0.6486
2025-06-04 11:02:34,145 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 11:02:34,152 - pyskl - INFO -
mean_acc 0.4561
2025-06-04 11:02:34,154 - pyskl - INFO - Epoch(val) [266][198] top1_acc: 0.4550, top5_acc: 0.6486, mean_class_accuracy: 0.4561
2025-06-04 11:03:44,128 - pyskl - INFO - Epoch [267][100/523] lr: 1.551e-03, eta: 2:18:01, time: 0.700, data_time: 0.263, memory: 7964, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.5936, loss: 1.5936
2025-06-04 11:04:28,254 - pyskl - INFO - Epoch [267][200/523] lr: 1.533e-03, eta: 2:17:14, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9984, top5_acc: 1.0000, loss_cls: 1.7312, loss: 1.7312
2025-06-04 11:05:12,395 - pyskl - INFO - Epoch [267][300/523] lr: 1.516e-03, eta: 2:16:27, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.5946, loss: 1.5946
2025-06-04 11:05:56,884 - pyskl - INFO - Epoch [267][400/523] lr: 1.499e-03, eta: 2:15:40, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9978, top5_acc: 1.0000, loss_cls: 1.5776, loss: 1.5776
2025-06-04 11:06:41,073 - pyskl - INFO - Epoch [267][500/523] lr: 1.482e-03, eta: 2:14:52, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.6628, loss: 1.6628
2025-06-04 11:06:51,835 - pyskl - INFO - Saving checkpoint at 267 epochs
2025-06-04 11:07:19,782 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 11:07:19,851 - pyskl - INFO -
top1_acc 0.4562
top5_acc 0.6485
2025-06-04 11:07:19,851 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 11:07:19,858 - pyskl - INFO -
mean_acc 0.4562
2025-06-04 11:07:19,860 - pyskl - INFO - Epoch(val) [267][198] top1_acc: 0.4562, top5_acc: 0.6485, mean_class_accuracy: 0.4562
2025-06-04 11:08:29,960 - pyskl - INFO - Epoch [268][100/523] lr: 1.461e-03, eta: 2:13:56, time: 0.701, data_time: 0.255, memory: 7964, top1_acc: 0.9984, top5_acc: 1.0000, loss_cls: 1.5803, loss: 1.5803
2025-06-04 11:09:14,339 - pyskl - INFO - Epoch [268][200/523] lr: 1.444e-03, eta: 2:13:09, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 1.5272, loss: 1.5272
2025-06-04 11:09:58,461 - pyskl - INFO - Epoch [268][300/523] lr: 1.428e-03, eta: 2:12:22, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 1.6604, loss: 1.6604
2025-06-04 11:10:42,549 - pyskl - INFO - Epoch [268][400/523] lr: 1.411e-03, eta: 2:11:35, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9984, top5_acc: 1.0000, loss_cls: 1.6464, loss: 1.6464
2025-06-04 11:11:26,198 - pyskl - INFO - Epoch [268][500/523] lr: 1.395e-03, eta: 2:10:48, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.5757, loss: 1.5757
2025-06-04 11:11:36,891 - pyskl - INFO - Saving checkpoint at 268 epochs
2025-06-04 11:12:05,094 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 11:12:05,160 - pyskl - INFO -
top1_acc 0.4581
top5_acc 0.6502
2025-06-04 11:12:05,161 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 11:12:05,168 - pyskl - INFO -
mean_acc 0.4591
2025-06-04 11:12:05,169 - pyskl - INFO - Epoch(val) [268][198] top1_acc: 0.4581, top5_acc: 0.6502, mean_class_accuracy: 0.4591
2025-06-04 11:13:13,307 - pyskl - INFO - Epoch [269][100/523] lr: 1.374e-03, eta: 2:09:51, time: 0.681, data_time: 0.256, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 1.6474, loss: 1.6474
2025-06-04 11:13:56,961 - pyskl - INFO - Epoch [269][200/523] lr: 1.358e-03, eta: 2:09:04, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 1.5838, loss: 1.5838
2025-06-04 11:14:40,893 - pyskl - INFO - Epoch [269][300/523] lr: 1.342e-03, eta: 2:08:17, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 1.6582, loss: 1.6582
2025-06-04 11:15:25,038 - pyskl - INFO - Epoch [269][400/523] lr: 1.326e-03, eta: 2:07:30, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.6150, loss: 1.6150
2025-06-04 11:16:08,679 - pyskl - INFO - Epoch [269][500/523] lr: 1.310e-03, eta: 2:06:43, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 1.5953, loss: 1.5953
2025-06-04 11:16:19,504 - pyskl - INFO - Saving checkpoint at 269 epochs
2025-06-04 11:16:47,658 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 11:16:47,723 - pyskl - INFO -
top1_acc 0.4539
top5_acc 0.6555
2025-06-04 11:16:47,723 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 11:16:47,730 - pyskl - INFO -
mean_acc 0.4543
2025-06-04 11:16:47,731 - pyskl - INFO - Epoch(val) [269][198] top1_acc: 0.4539, top5_acc: 0.6555, mean_class_accuracy: 0.4543
2025-06-04 11:17:56,682 - pyskl - INFO - Epoch [270][100/523] lr: 1.290e-03, eta: 2:05:46, time: 0.689, data_time: 0.254, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 1.5959, loss: 1.5959
2025-06-04 11:18:40,258 - pyskl - INFO - Epoch [270][200/523] lr: 1.274e-03, eta: 2:04:59, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 1.6478, loss: 1.6478
2025-06-04 11:19:23,676 - pyskl - INFO - Epoch [270][300/523] lr: 1.258e-03, eta: 2:04:12, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 1.6140, loss: 1.6140
2025-06-04 11:20:07,792 - pyskl - INFO - Epoch [270][400/523] lr: 1.243e-03, eta: 2:03:25, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 1.5536, loss: 1.5536
2025-06-04 11:20:51,943 - pyskl - INFO - Epoch [270][500/523] lr: 1.227e-03, eta: 2:02:38, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.5476, loss: 1.5476
2025-06-04 11:21:02,857 - pyskl - INFO - Saving checkpoint at 270 epochs
2025-06-04 11:21:31,054 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 11:21:31,120 - pyskl - INFO -
top1_acc 0.4506
top5_acc 0.6547
2025-06-04 11:21:31,120 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 11:21:31,127 - pyskl - INFO -
mean_acc 0.4510
2025-06-04 11:21:31,128 - pyskl - INFO - Epoch(val) [270][198] top1_acc: 0.4506, top5_acc: 0.6547, mean_class_accuracy: 0.4510
2025-06-04 11:22:40,450 - pyskl - INFO - Epoch [271][100/523] lr: 1.208e-03, eta: 2:01:41, time: 0.693, data_time: 0.255, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.5103, loss: 1.5103
2025-06-04 11:23:23,877 - pyskl - INFO - Epoch [271][200/523] lr: 1.193e-03, eta: 2:00:54, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.5036, loss: 1.5036
2025-06-04 11:24:07,499 - pyskl - INFO - Epoch [271][300/523] lr: 1.178e-03, eta: 2:00:07, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 1.5268, loss: 1.5268
2025-06-04 11:24:51,604 - pyskl - INFO - Epoch [271][400/523] lr: 1.163e-03, eta: 1:59:20, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 1.5040, loss: 1.5040
2025-06-04 11:25:35,628 - pyskl - INFO - Epoch [271][500/523] lr: 1.148e-03, eta: 1:58:33, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 1.5601, loss: 1.5601
2025-06-04 11:25:46,459 - pyskl - INFO - Saving checkpoint at 271 epochs
2025-06-04 11:26:14,512 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 11:26:14,581 - pyskl - INFO -
top1_acc 0.4571
top5_acc 0.6479
2025-06-04 11:26:14,581 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 11:26:14,589 - pyskl - INFO -
mean_acc 0.4580
2025-06-04 11:26:14,590 - pyskl - INFO - Epoch(val) [271][198] top1_acc: 0.4571, top5_acc: 0.6479, mean_class_accuracy: 0.4580
2025-06-04 11:27:23,004 - pyskl - INFO - Epoch [272][100/523] lr: 1.129e-03, eta: 1:57:36, time: 0.684, data_time: 0.256, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.5948, loss: 1.5948
2025-06-04 11:28:07,092 - pyskl - INFO - Epoch [272][200/523] lr: 1.114e-03, eta: 1:56:49, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.5627, loss: 1.5627
2025-06-04 11:28:51,177 - pyskl - INFO - Epoch [272][300/523] lr: 1.100e-03, eta: 1:56:02, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.5895, loss: 1.5895
2025-06-04 11:29:35,489 - pyskl - INFO - Epoch [272][400/523] lr: 1.085e-03, eta: 1:55:15, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.6646, loss: 1.6646
2025-06-04 11:30:19,714 - pyskl - INFO - Epoch [272][500/523] lr: 1.070e-03, eta: 1:54:28, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.5698, loss: 1.5698
2025-06-04 11:30:30,632 - pyskl - INFO - Saving checkpoint at 272 epochs
2025-06-04 11:30:58,818 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 11:30:58,885 - pyskl - INFO -
top1_acc 0.4582
top5_acc 0.6496
2025-06-04 11:30:58,886 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 11:30:58,893 - pyskl - INFO -
mean_acc 0.4585
2025-06-04 11:30:58,894 - pyskl - INFO - Epoch(val) [272][198] top1_acc: 0.4582, top5_acc: 0.6496, mean_class_accuracy: 0.4585
2025-06-04 11:32:09,079 - pyskl - INFO - Epoch [273][100/523] lr: 1.053e-03, eta: 1:53:31, time: 0.702, data_time: 0.259, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.5104, loss: 1.5104
2025-06-04 11:32:51,894 - pyskl - INFO - Epoch [273][200/523] lr: 1.038e-03, eta: 1:52:44, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.5665, loss: 1.5665
2025-06-04 11:33:35,722 - pyskl - INFO - Epoch [273][300/523] lr: 1.024e-03, eta: 1:51:57, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 1.6253, loss: 1.6253
2025-06-04 11:34:19,932 - pyskl - INFO - Epoch [273][400/523] lr: 1.010e-03, eta: 1:51:10, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.5784, loss: 1.5784
2025-06-04 11:35:04,109 - pyskl - INFO - Epoch [273][500/523] lr: 9.960e-04, eta: 1:50:23, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.5560, loss: 1.5560
2025-06-04 11:35:14,942 - pyskl - INFO - Saving checkpoint at 273 epochs
2025-06-04 11:35:43,173 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 11:35:43,242 - pyskl - INFO -
top1_acc 0.4557
top5_acc 0.6521
2025-06-04 11:35:43,243 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 11:35:43,250 - pyskl - INFO -
mean_acc 0.4564
2025-06-04 11:35:43,252 - pyskl - INFO - Epoch(val) [273][198] top1_acc: 0.4557, top5_acc: 0.6521, mean_class_accuracy: 0.4564
2025-06-04 11:36:53,364 - pyskl - INFO - Epoch [274][100/523] lr: 9.789e-04, eta: 1:49:26, time: 0.701, data_time: 0.258, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 1.4986, loss: 1.4986
2025-06-04 11:37:37,050 - pyskl - INFO - Epoch [274][200/523] lr: 9.651e-04, eta: 1:48:39, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 1.5812, loss: 1.5812
2025-06-04 11:38:21,162 - pyskl - INFO - Epoch [274][300/523] lr: 9.513e-04, eta: 1:47:52, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.5930, loss: 1.5930
2025-06-04 11:39:05,141 - pyskl - INFO - Epoch [274][400/523] lr: 9.377e-04, eta: 1:47:05, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.6451, loss: 1.6451
2025-06-04 11:39:49,067 - pyskl - INFO - Epoch [274][500/523] lr: 9.242e-04, eta: 1:46:18, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9984, top5_acc: 1.0000, loss_cls: 1.6335, loss: 1.6335
2025-06-04 11:39:59,954 - pyskl - INFO - Saving checkpoint at 274 epochs
2025-06-04 11:40:28,290 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 11:40:28,358 - pyskl - INFO -
top1_acc 0.4566
top5_acc 0.6540
2025-06-04 11:40:28,358 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 11:40:28,365 - pyskl - INFO -
mean_acc 0.4572
2025-06-04 11:40:28,366 - pyskl - INFO - Epoch(val) [274][198] top1_acc: 0.4566, top5_acc: 0.6540, mean_class_accuracy: 0.4572
2025-06-04 11:41:38,391 - pyskl - INFO - Epoch [275][100/523] lr: 9.077e-04, eta: 1:45:22, time: 0.700, data_time: 0.265, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 1.5560, loss: 1.5560
2025-06-04 11:42:21,422 - pyskl - INFO - Epoch [275][200/523] lr: 8.943e-04, eta: 1:44:34, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 1.5224, loss: 1.5224
2025-06-04 11:43:03,899 - pyskl - INFO - Epoch [275][300/523] lr: 8.811e-04, eta: 1:43:47, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 1.5584, loss: 1.5584
2025-06-04 11:43:48,057 - pyskl - INFO - Epoch [275][400/523] lr: 8.680e-04, eta: 1:43:00, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.5537, loss: 1.5537
2025-06-04 11:44:32,382 - pyskl - INFO - Epoch [275][500/523] lr: 8.550e-04, eta: 1:42:13, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.6064, loss: 1.6064
2025-06-04 11:44:43,224 - pyskl - INFO - Saving checkpoint at 275 epochs
2025-06-04 11:45:11,426 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 11:45:11,495 - pyskl - INFO -
top1_acc 0.4641
top5_acc 0.6566
2025-06-04 11:45:11,496 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 11:45:11,503 - pyskl - INFO -
mean_acc 0.4646
2025-06-04 11:45:11,563 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/k_2/best_top1_acc_epoch_265.pth was removed
2025-06-04 11:45:13,067 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_275.pth.
2025-06-04 11:45:13,068 - pyskl - INFO - Best top1_acc is 0.4641 at 275 epoch.
2025-06-04 11:45:13,071 - pyskl - INFO - Epoch(val) [275][198] top1_acc: 0.4641, top5_acc: 0.6566, mean_class_accuracy: 0.4646
2025-06-04 11:46:22,366 - pyskl - INFO - Epoch [276][100/523] lr: 8.391e-04, eta: 1:41:16, time: 0.693, data_time: 0.255, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.4967, loss: 1.4967
2025-06-04 11:47:06,101 - pyskl - INFO - Epoch [276][200/523] lr: 8.263e-04, eta: 1:40:29, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.5327, loss: 1.5327
2025-06-04 11:47:50,421 - pyskl - INFO - Epoch [276][300/523] lr: 8.135e-04, eta: 1:39:42, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 1.5332, loss: 1.5332
2025-06-04 11:48:34,730 - pyskl - INFO - Epoch [276][400/523] lr: 8.009e-04, eta: 1:38:55, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 1.4681, loss: 1.4681
2025-06-04 11:49:18,977 - pyskl - INFO - Epoch [276][500/523] lr: 7.884e-04, eta: 1:38:08, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.5289, loss: 1.5289
2025-06-04 11:49:29,875 - pyskl - INFO - Saving checkpoint at 276 epochs
2025-06-04 11:49:58,138 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 11:49:58,208 - pyskl - INFO -
top1_acc 0.4584
top5_acc 0.6524
2025-06-04 11:49:58,208 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 11:49:58,216 - pyskl - INFO -
mean_acc 0.4594
2025-06-04 11:49:58,218 - pyskl - INFO - Epoch(val) [276][198] top1_acc: 0.4584, top5_acc: 0.6524, mean_class_accuracy: 0.4594
2025-06-04 11:51:07,797 - pyskl - INFO - Epoch [277][100/523] lr: 7.731e-04, eta: 1:37:12, time: 0.696, data_time: 0.256, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.5143, loss: 1.5143
2025-06-04 11:51:50,517 - pyskl - INFO - Epoch [277][200/523] lr: 7.608e-04, eta: 1:36:24, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.5566, loss: 1.5566
2025-06-04 11:52:33,904 - pyskl - INFO - Epoch [277][300/523] lr: 7.486e-04, eta: 1:35:37, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 1.5428, loss: 1.5428
2025-06-04 11:53:17,545 - pyskl - INFO - Epoch [277][400/523] lr: 7.365e-04, eta: 1:34:50, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.5132, loss: 1.5132
2025-06-04 11:54:01,123 - pyskl - INFO - Epoch [277][500/523] lr: 7.245e-04, eta: 1:34:03, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.4761, loss: 1.4761
2025-06-04 11:54:11,726 - pyskl - INFO - Saving checkpoint at 277 epochs
2025-06-04 11:54:40,091 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 11:54:40,161 - pyskl - INFO -
top1_acc 0.4585
top5_acc 0.6512
2025-06-04 11:54:40,161 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 11:54:40,168 - pyskl - INFO -
mean_acc 0.4590
2025-06-04 11:54:40,170 - pyskl - INFO - Epoch(val) [277][198] top1_acc: 0.4585, top5_acc: 0.6512, mean_class_accuracy: 0.4590
2025-06-04 11:55:50,081 - pyskl - INFO - Epoch [278][100/523] lr: 7.099e-04, eta: 1:33:07, time: 0.699, data_time: 0.257, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.5562, loss: 1.5562
2025-06-04 11:56:33,196 - pyskl - INFO - Epoch [278][200/523] lr: 6.981e-04, eta: 1:32:19, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.4909, loss: 1.4909
2025-06-04 11:57:16,403 - pyskl - INFO - Epoch [278][300/523] lr: 6.864e-04, eta: 1:31:32, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 1.5596, loss: 1.5596
2025-06-04 11:58:00,194 - pyskl - INFO - Epoch [278][400/523] lr: 6.748e-04, eta: 1:30:45, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.4798, loss: 1.4798
2025-06-04 11:58:43,904 - pyskl - INFO - Epoch [278][500/523] lr: 6.633e-04, eta: 1:29:58, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.5154, loss: 1.5154
2025-06-04 11:58:54,574 - pyskl - INFO - Saving checkpoint at 278 epochs
2025-06-04 11:59:22,554 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 11:59:22,621 - pyskl - INFO -
top1_acc 0.4612
top5_acc 0.6563
2025-06-04 11:59:22,622 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 11:59:22,629 - pyskl - INFO -
mean_acc 0.4623
2025-06-04 11:59:22,631 - pyskl - INFO - Epoch(val) [278][198] top1_acc: 0.4612, top5_acc: 0.6563, mean_class_accuracy: 0.4623
2025-06-04 12:00:32,781 - pyskl - INFO - Epoch [279][100/523] lr: 6.493e-04, eta: 1:29:02, time: 0.701, data_time: 0.261, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.4846, loss: 1.4846
2025-06-04 12:01:16,859 - pyskl - INFO - Epoch [279][200/523] lr: 6.380e-04, eta: 1:28:14, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.5649, loss: 1.5649
2025-06-04 12:02:00,858 - pyskl - INFO - Epoch [279][300/523] lr: 6.268e-04, eta: 1:27:27, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 1.4710, loss: 1.4710
2025-06-04 12:02:44,440 - pyskl - INFO - Epoch [279][400/523] lr: 6.157e-04, eta: 1:26:40, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 1.5014, loss: 1.5014
2025-06-04 12:03:27,984 - pyskl - INFO - Epoch [279][500/523] lr: 6.047e-04, eta: 1:25:53, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.4664, loss: 1.4664
2025-06-04 12:03:38,502 - pyskl - INFO - Saving checkpoint at 279 epochs
2025-06-04 12:04:06,663 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 12:04:06,732 - pyskl - INFO -
top1_acc 0.4549
top5_acc 0.6555
2025-06-04 12:04:06,732 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 12:04:06,740 - pyskl - INFO -
mean_acc 0.4552
2025-06-04 12:04:06,741 - pyskl - INFO - Epoch(val) [279][198] top1_acc: 0.4549, top5_acc: 0.6555, mean_class_accuracy: 0.4552
2025-06-04 12:05:17,114 - pyskl - INFO - Epoch [280][100/523] lr: 5.913e-04, eta: 1:24:57, time: 0.704, data_time: 0.254, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.4840, loss: 1.4840
2025-06-04 12:06:01,292 - pyskl - INFO - Epoch [280][200/523] lr: 5.805e-04, eta: 1:24:10, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.5043, loss: 1.5043
2025-06-04 12:06:45,804 - pyskl - INFO - Epoch [280][300/523] lr: 5.699e-04, eta: 1:23:23, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.5284, loss: 1.5284
2025-06-04 12:07:29,903 - pyskl - INFO - Epoch [280][400/523] lr: 5.593e-04, eta: 1:22:36, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 1.5417, loss: 1.5417
2025-06-04 12:08:13,879 - pyskl - INFO - Epoch [280][500/523] lr: 5.488e-04, eta: 1:21:49, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 1.4814, loss: 1.4814
2025-06-04 12:08:24,562 - pyskl - INFO - Saving checkpoint at 280 epochs
2025-06-04 12:08:52,829 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 12:08:52,898 - pyskl - INFO -
top1_acc 0.4577
top5_acc 0.6542
2025-06-04 12:08:52,899 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 12:08:52,906 - pyskl - INFO -
mean_acc 0.4585
2025-06-04 12:08:52,908 - pyskl - INFO - Epoch(val) [280][198] top1_acc: 0.4577, top5_acc: 0.6542, mean_class_accuracy: 0.4585
2025-06-04 12:10:02,685 - pyskl - INFO - Epoch [281][100/523] lr: 5.361e-04, eta: 1:20:52, time: 0.698, data_time: 0.254, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.5361, loss: 1.5361
2025-06-04 12:10:47,074 - pyskl - INFO - Epoch [281][200/523] lr: 5.258e-04, eta: 1:20:05, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.5321, loss: 1.5321
2025-06-04 12:11:31,011 - pyskl - INFO - Epoch [281][300/523] lr: 5.156e-04, eta: 1:19:18, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 1.4499, loss: 1.4499
2025-06-04 12:12:14,842 - pyskl - INFO - Epoch [281][400/523] lr: 5.056e-04, eta: 1:18:31, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.5196, loss: 1.5196
2025-06-04 12:12:58,408 - pyskl - INFO - Epoch [281][500/523] lr: 4.956e-04, eta: 1:17:44, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.5353, loss: 1.5353
2025-06-04 12:13:08,870 - pyskl - INFO - Saving checkpoint at 281 epochs
2025-06-04 12:13:37,288 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 12:13:37,360 - pyskl - INFO -
top1_acc 0.4574
top5_acc 0.6520
2025-06-04 12:13:37,360 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 12:13:37,369 - pyskl - INFO -
mean_acc 0.4588
2025-06-04 12:13:37,371 - pyskl - INFO - Epoch(val) [281][198] top1_acc: 0.4574, top5_acc: 0.6520, mean_class_accuracy: 0.4588
2025-06-04 12:14:47,319 - pyskl - INFO - Epoch [282][100/523] lr: 4.835e-04, eta: 1:16:47, time: 0.699, data_time: 0.255, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.4773, loss: 1.4773
2025-06-04 12:15:31,438 - pyskl - INFO - Epoch [282][200/523] lr: 4.737e-04, eta: 1:16:00, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 1.5642, loss: 1.5642
2025-06-04 12:16:15,761 - pyskl - INFO - Epoch [282][300/523] lr: 4.641e-04, eta: 1:15:13, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.4589, loss: 1.4589
2025-06-04 12:17:00,057 - pyskl - INFO - Epoch [282][400/523] lr: 4.545e-04, eta: 1:14:26, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 1.5203, loss: 1.5203
2025-06-04 12:17:44,194 - pyskl - INFO - Epoch [282][500/523] lr: 4.451e-04, eta: 1:13:39, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.5019, loss: 1.5019
2025-06-04 12:17:55,020 - pyskl - INFO - Saving checkpoint at 282 epochs
2025-06-04 12:18:23,423 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 12:18:23,493 - pyskl - INFO -
top1_acc 0.4595
top5_acc 0.6545
2025-06-04 12:18:23,493 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 12:18:23,501 - pyskl - INFO -
mean_acc 0.4600
2025-06-04 12:18:23,503 - pyskl - INFO - Epoch(val) [282][198] top1_acc: 0.4595, top5_acc: 0.6545, mean_class_accuracy: 0.4600
2025-06-04 12:19:33,630 - pyskl - INFO - Epoch [283][100/523] lr: 4.336e-04, eta: 1:12:42, time: 0.701, data_time: 0.257, memory: 7964, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.4627, loss: 1.4627
2025-06-04 12:20:17,917 - pyskl - INFO - Epoch [283][200/523] lr: 4.243e-04, eta: 1:11:55, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 1.4945, loss: 1.4945
2025-06-04 12:21:02,095 - pyskl - INFO - Epoch [283][300/523] lr: 4.152e-04, eta: 1:11:08, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9984, top5_acc: 0.9997, loss_cls: 1.4865, loss: 1.4865
2025-06-04 12:21:46,371 - pyskl - INFO - Epoch [283][400/523] lr: 4.062e-04, eta: 1:10:21, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.4721, loss: 1.4721
2025-06-04 12:22:30,870 - pyskl - INFO - Epoch [283][500/523] lr: 3.972e-04, eta: 1:09:34, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 1.4451, loss: 1.4451
2025-06-04 12:22:41,745 - pyskl - INFO - Saving checkpoint at 283 epochs
2025-06-04 12:23:09,952 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 12:23:10,021 - pyskl - INFO -
top1_acc 0.4589
top5_acc 0.6521
2025-06-04 12:23:10,022 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 12:23:10,030 - pyskl - INFO -
mean_acc 0.4594
2025-06-04 12:23:10,031 - pyskl - INFO - Epoch(val) [283][198] top1_acc: 0.4589, top5_acc: 0.6521, mean_class_accuracy: 0.4594
2025-06-04 12:24:18,433 - pyskl - INFO - Epoch [284][100/523] lr: 3.864e-04, eta: 1:08:37, time: 0.684, data_time: 0.253, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.4821, loss: 1.4821
2025-06-04 12:25:02,310 - pyskl - INFO - Epoch [284][200/523] lr: 3.777e-04, eta: 1:07:50, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 1.5053, loss: 1.5053
2025-06-04 12:25:46,432 - pyskl - INFO - Epoch [284][300/523] lr: 3.690e-04, eta: 1:07:03, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.4622, loss: 1.4622
2025-06-04 12:26:30,545 - pyskl - INFO - Epoch [284][400/523] lr: 3.605e-04, eta: 1:06:16, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 1.4716, loss: 1.4716
2025-06-04 12:27:14,754 - pyskl - INFO - Epoch [284][500/523] lr: 3.521e-04, eta: 1:05:29, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.5008, loss: 1.5008
2025-06-04 12:27:25,469 - pyskl - INFO - Saving checkpoint at 284 epochs
2025-06-04 12:27:53,761 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 12:27:53,829 - pyskl - INFO -
top1_acc 0.4582
top5_acc 0.6574
2025-06-04 12:27:53,830 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 12:27:53,838 - pyskl - INFO -
mean_acc 0.4591
2025-06-04 12:27:53,840 - pyskl - INFO - Epoch(val) [284][198] top1_acc: 0.4582, top5_acc: 0.6574, mean_class_accuracy: 0.4591
2025-06-04 12:29:02,295 - pyskl - INFO - Epoch [285][100/523] lr: 3.419e-04, eta: 1:04:32, time: 0.684, data_time: 0.252, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.4459, loss: 1.4459
2025-06-04 12:29:44,609 - pyskl - INFO - Epoch [285][200/523] lr: 3.337e-04, eta: 1:03:45, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.4510, loss: 1.4510
2025-06-04 12:30:27,231 - pyskl - INFO - Epoch [285][300/523] lr: 3.256e-04, eta: 1:02:58, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.4879, loss: 1.4879
2025-06-04 12:31:11,318 - pyskl - INFO - Epoch [285][400/523] lr: 3.176e-04, eta: 1:02:11, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.4624, loss: 1.4624
2025-06-04 12:31:55,044 - pyskl - INFO - Epoch [285][500/523] lr: 3.097e-04, eta: 1:01:24, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 1.4320, loss: 1.4320
2025-06-04 12:32:05,463 - pyskl - INFO - Saving checkpoint at 285 epochs
2025-06-04 12:32:33,803 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 12:32:33,874 - pyskl - INFO -
top1_acc 0.4577
top5_acc 0.6553
2025-06-04 12:32:33,874 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 12:32:33,883 - pyskl - INFO -
mean_acc 0.4584
2025-06-04 12:32:33,885 - pyskl - INFO - Epoch(val) [285][198] top1_acc: 0.4577, top5_acc: 0.6553, mean_class_accuracy: 0.4584
2025-06-04 12:33:43,446 - pyskl - INFO - Epoch [286][100/523] lr: 3.001e-04, eta: 1:00:27, time: 0.696, data_time: 0.253, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 1.4699, loss: 1.4699
2025-06-04 12:34:27,396 - pyskl - INFO - Epoch [286][200/523] lr: 2.924e-04, eta: 0:59:40, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.4330, loss: 1.4330
2025-06-04 12:35:11,660 - pyskl - INFO - Epoch [286][300/523] lr: 2.848e-04, eta: 0:58:53, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 1.4483, loss: 1.4483
2025-06-04 12:35:55,922 - pyskl - INFO - Epoch [286][400/523] lr: 2.773e-04, eta: 0:58:06, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 1.4839, loss: 1.4839
2025-06-04 12:36:39,852 - pyskl - INFO - Epoch [286][500/523] lr: 2.699e-04, eta: 0:57:19, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.5158, loss: 1.5158
2025-06-04 12:36:50,580 - pyskl - INFO - Saving checkpoint at 286 epochs
2025-06-04 12:37:18,671 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 12:37:18,739 - pyskl - INFO -
top1_acc 0.4600
top5_acc 0.6518
2025-06-04 12:37:18,739 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 12:37:18,746 - pyskl - INFO -
mean_acc 0.4608
2025-06-04 12:37:18,747 - pyskl - INFO - Epoch(val) [286][198] top1_acc: 0.4600, top5_acc: 0.6518, mean_class_accuracy: 0.4608
2025-06-04 12:38:28,461 - pyskl - INFO - Epoch [287][100/523] lr: 2.610e-04, eta: 0:56:22, time: 0.697, data_time: 0.252, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.4463, loss: 1.4463
2025-06-04 12:39:12,341 - pyskl - INFO - Epoch [287][200/523] lr: 2.538e-04, eta: 0:55:35, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.4541, loss: 1.4541
2025-06-04 12:39:56,523 - pyskl - INFO - Epoch [287][300/523] lr: 2.468e-04, eta: 0:54:48, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.4784, loss: 1.4784
2025-06-04 12:40:40,556 - pyskl - INFO - Epoch [287][400/523] lr: 2.398e-04, eta: 0:54:01, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.4747, loss: 1.4747
2025-06-04 12:41:24,207 - pyskl - INFO - Epoch [287][500/523] lr: 2.329e-04, eta: 0:53:14, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.5050, loss: 1.5050
2025-06-04 12:41:34,883 - pyskl - INFO - Saving checkpoint at 287 epochs
2025-06-04 12:42:03,227 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 12:42:03,296 - pyskl - INFO -
top1_acc 0.4614
top5_acc 0.6540
2025-06-04 12:42:03,296 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 12:42:03,303 - pyskl - INFO -
mean_acc 0.4621
2025-06-04 12:42:03,305 - pyskl - INFO - Epoch(val) [287][198] top1_acc: 0.4614, top5_acc: 0.6540, mean_class_accuracy: 0.4621
2025-06-04 12:43:12,771 - pyskl - INFO - Epoch [288][100/523] lr: 2.246e-04, eta: 0:52:17, time: 0.695, data_time: 0.254, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 1.4744, loss: 1.4744
2025-06-04 12:43:56,855 - pyskl - INFO - Epoch [288][200/523] lr: 2.180e-04, eta: 0:51:30, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 1.4748, loss: 1.4748
2025-06-04 12:44:40,868 - pyskl - INFO - Epoch [288][300/523] lr: 2.114e-04, eta: 0:50:43, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 1.4855, loss: 1.4855
2025-06-04 12:45:24,852 - pyskl - INFO - Epoch [288][400/523] lr: 2.050e-04, eta: 0:49:56, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.4831, loss: 1.4831
2025-06-04 12:46:08,158 - pyskl - INFO - Epoch [288][500/523] lr: 1.986e-04, eta: 0:49:09, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 1.4795, loss: 1.4795
2025-06-04 12:46:18,945 - pyskl - INFO - Saving checkpoint at 288 epochs
2025-06-04 12:46:47,167 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 12:46:47,237 - pyskl - INFO -
top1_acc 0.4592
top5_acc 0.6542
2025-06-04 12:46:47,237 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 12:46:47,245 - pyskl - INFO -
mean_acc 0.4597
2025-06-04 12:46:47,246 - pyskl - INFO - Epoch(val) [288][198] top1_acc: 0.4592, top5_acc: 0.6542, mean_class_accuracy: 0.4597
2025-06-04 12:47:56,495 - pyskl - INFO - Epoch [289][100/523] lr: 1.910e-04, eta: 0:48:12, time: 0.692, data_time: 0.254, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.4230, loss: 1.4230
2025-06-04 12:48:40,714 - pyskl - INFO - Epoch [289][200/523] lr: 1.848e-04, eta: 0:47:25, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 1.4843, loss: 1.4843
2025-06-04 12:49:24,803 - pyskl - INFO - Epoch [289][300/523] lr: 1.788e-04, eta: 0:46:38, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.3942, loss: 1.3942
2025-06-04 12:50:08,794 - pyskl - INFO - Epoch [289][400/523] lr: 1.729e-04, eta: 0:45:51, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.4048, loss: 1.4048
2025-06-04 12:50:52,943 - pyskl - INFO - Epoch [289][500/523] lr: 1.671e-04, eta: 0:45:04, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 1.4534, loss: 1.4534
2025-06-04 12:51:03,410 - pyskl - INFO - Saving checkpoint at 289 epochs
2025-06-04 12:51:31,715 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 12:51:31,786 - pyskl - INFO -
top1_acc 0.4595
top5_acc 0.6542
2025-06-04 12:51:31,786 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 12:51:31,794 - pyskl - INFO -
mean_acc 0.4600
2025-06-04 12:51:31,795 - pyskl - INFO - Epoch(val) [289][198] top1_acc: 0.4595, top5_acc: 0.6542, mean_class_accuracy: 0.4600
2025-06-04 12:52:40,836 - pyskl - INFO - Epoch [290][100/523] lr: 1.600e-04, eta: 0:44:07, time: 0.690, data_time: 0.255, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.4738, loss: 1.4738
2025-06-04 12:53:24,870 - pyskl - INFO - Epoch [290][200/523] lr: 1.544e-04, eta: 0:43:20, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 1.4434, loss: 1.4434
2025-06-04 12:54:08,924 - pyskl - INFO - Epoch [290][300/523] lr: 1.489e-04, eta: 0:42:33, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.4392, loss: 1.4392
2025-06-04 12:54:52,953 - pyskl - INFO - Epoch [290][400/523] lr: 1.435e-04, eta: 0:41:46, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 1.4520, loss: 1.4520
2025-06-04 12:55:37,186 - pyskl - INFO - Epoch [290][500/523] lr: 1.382e-04, eta: 0:41:00, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.4883, loss: 1.4883
2025-06-04 12:55:48,028 - pyskl - INFO - Saving checkpoint at 290 epochs
2025-06-04 12:56:16,665 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 12:56:16,747 - pyskl - INFO -
top1_acc 0.4571
top5_acc 0.6580
2025-06-04 12:56:16,747 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 12:56:16,757 - pyskl - INFO -
mean_acc 0.4579
2025-06-04 12:56:16,758 - pyskl - INFO - Epoch(val) [290][198] top1_acc: 0.4571, top5_acc: 0.6580, mean_class_accuracy: 0.4579
2025-06-04 12:57:26,718 - pyskl - INFO - Epoch [291][100/523] lr: 1.318e-04, eta: 0:40:02, time: 0.700, data_time: 0.263, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 1.4703, loss: 1.4703
2025-06-04 12:58:10,261 - pyskl - INFO - Epoch [291][200/523] lr: 1.267e-04, eta: 0:39:15, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 1.4298, loss: 1.4298
2025-06-04 12:58:54,370 - pyskl - INFO - Epoch [291][300/523] lr: 1.218e-04, eta: 0:38:28, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 1.4344, loss: 1.4344
2025-06-04 12:59:38,748 - pyskl - INFO - Epoch [291][400/523] lr: 1.169e-04, eta: 0:37:42, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.4660, loss: 1.4660
2025-06-04 13:00:23,202 - pyskl - INFO - Epoch [291][500/523] lr: 1.121e-04, eta: 0:36:55, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.4532, loss: 1.4532
2025-06-04 13:00:34,032 - pyskl - INFO - Saving checkpoint at 291 epochs
2025-06-04 13:01:02,333 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 13:01:02,402 - pyskl - INFO -
top1_acc 0.4582
top5_acc 0.6520
2025-06-04 13:01:02,402 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 13:01:02,409 - pyskl - INFO -
mean_acc 0.4588
2025-06-04 13:01:02,411 - pyskl - INFO - Epoch(val) [291][198] top1_acc: 0.4582, top5_acc: 0.6520, mean_class_accuracy: 0.4588
2025-06-04 13:02:10,640 - pyskl - INFO - Epoch [292][100/523] lr: 1.063e-04, eta: 0:35:57, time: 0.682, data_time: 0.253, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 1.4263, loss: 1.4263
2025-06-04 13:02:54,249 - pyskl - INFO - Epoch [292][200/523] lr: 1.018e-04, eta: 0:35:10, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.4444, loss: 1.4444
2025-06-04 13:03:37,995 - pyskl - INFO - Epoch [292][300/523] lr: 9.731e-05, eta: 0:34:24, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.4029, loss: 1.4029
2025-06-04 13:04:21,689 - pyskl - INFO - Epoch [292][400/523] lr: 9.295e-05, eta: 0:33:37, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.4830, loss: 1.4830
2025-06-04 13:05:05,449 - pyskl - INFO - Epoch [292][500/523] lr: 8.869e-05, eta: 0:32:50, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.4924, loss: 1.4924
2025-06-04 13:05:16,260 - pyskl - INFO - Saving checkpoint at 292 epochs
2025-06-04 13:05:44,434 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 13:05:44,507 - pyskl - INFO -
top1_acc 0.4600
top5_acc 0.6559
2025-06-04 13:05:44,507 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 13:05:44,514 - pyskl - INFO -
mean_acc 0.4604
2025-06-04 13:05:44,515 - pyskl - INFO - Epoch(val) [292][198] top1_acc: 0.4600, top5_acc: 0.6559, mean_class_accuracy: 0.4604
2025-06-04 13:06:52,131 - pyskl - INFO - Epoch [293][100/523] lr: 8.358e-05, eta: 0:31:52, time: 0.676, data_time: 0.254, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 1.4542, loss: 1.4542
2025-06-04 13:07:36,363 - pyskl - INFO - Epoch [293][200/523] lr: 7.954e-05, eta: 0:31:05, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.4504, loss: 1.4504
2025-06-04 13:08:20,618 - pyskl - INFO - Epoch [293][300/523] lr: 7.560e-05, eta: 0:30:19, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.4873, loss: 1.4873
2025-06-04 13:09:04,797 - pyskl - INFO - Epoch [293][400/523] lr: 7.176e-05, eta: 0:29:32, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 0.9997, loss_cls: 1.3899, loss: 1.3899
2025-06-04 13:09:48,908 - pyskl - INFO - Epoch [293][500/523] lr: 6.802e-05, eta: 0:28:45, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 1.4318, loss: 1.4318
2025-06-04 13:09:59,819 - pyskl - INFO - Saving checkpoint at 293 epochs
2025-06-04 13:10:27,986 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 13:10:28,054 - pyskl - INFO -
top1_acc 0.4611
top5_acc 0.6559
2025-06-04 13:10:28,054 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 13:10:28,061 - pyskl - INFO -
mean_acc 0.4615
2025-06-04 13:10:28,062 - pyskl - INFO - Epoch(val) [293][198] top1_acc: 0.4611, top5_acc: 0.6559, mean_class_accuracy: 0.4615
2025-06-04 13:11:37,398 - pyskl - INFO - Epoch [294][100/523] lr: 6.356e-05, eta: 0:27:47, time: 0.693, data_time: 0.253, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.4133, loss: 1.4133
2025-06-04 13:12:21,899 - pyskl - INFO - Epoch [294][200/523] lr: 6.004e-05, eta: 0:27:01, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 1.4520, loss: 1.4520
2025-06-04 13:13:06,075 - pyskl - INFO - Epoch [294][300/523] lr: 5.662e-05, eta: 0:26:14, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.4399, loss: 1.4399
2025-06-04 13:13:50,208 - pyskl - INFO - Epoch [294][400/523] lr: 5.331e-05, eta: 0:25:27, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.4422, loss: 1.4422
2025-06-04 13:14:33,394 - pyskl - INFO - Epoch [294][500/523] lr: 5.009e-05, eta: 0:24:40, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 1.4357, loss: 1.4357
2025-06-04 13:14:43,785 - pyskl - INFO - Saving checkpoint at 294 epochs
2025-06-04 13:15:12,243 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 13:15:12,311 - pyskl - INFO -
top1_acc 0.4661
top5_acc 0.6604
2025-06-04 13:15:12,311 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 13:15:12,319 - pyskl - INFO -
mean_acc 0.4667
2025-06-04 13:15:12,378 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/k_2/best_top1_acc_epoch_275.pth was removed
2025-06-04 13:15:13,952 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_294.pth.
2025-06-04 13:15:13,953 - pyskl - INFO - Best top1_acc is 0.4661 at 294 epoch.
2025-06-04 13:15:13,956 - pyskl - INFO - Epoch(val) [294][198] top1_acc: 0.4661, top5_acc: 0.6604, mean_class_accuracy: 0.4667
2025-06-04 13:16:23,001 - pyskl - INFO - Epoch [295][100/523] lr: 4.627e-05, eta: 0:23:42, time: 0.690, data_time: 0.251, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.4418, loss: 1.4418
2025-06-04 13:17:07,280 - pyskl - INFO - Epoch [295][200/523] lr: 4.328e-05, eta: 0:22:56, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.4258, loss: 1.4258
2025-06-04 13:17:51,432 - pyskl - INFO - Epoch [295][300/523] lr: 4.038e-05, eta: 0:22:09, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 1.4561, loss: 1.4561
2025-06-04 13:18:35,665 - pyskl - INFO - Epoch [295][400/523] lr: 3.759e-05, eta: 0:21:22, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 1.5087, loss: 1.5087
2025-06-04 13:19:20,066 - pyskl - INFO - Epoch [295][500/523] lr: 3.489e-05, eta: 0:20:35, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 1.4178, loss: 1.4178
2025-06-04 13:19:30,974 - pyskl - INFO - Saving checkpoint at 295 epochs
2025-06-04 13:19:59,020 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 13:19:59,088 - pyskl - INFO -
top1_acc 0.4593
top5_acc 0.6536
2025-06-04 13:19:59,089 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 13:19:59,096 - pyskl - INFO -
mean_acc 0.4602
2025-06-04 13:19:59,097 - pyskl - INFO - Epoch(val) [295][198] top1_acc: 0.4593, top5_acc: 0.6536, mean_class_accuracy: 0.4602
2025-06-04 13:21:08,339 - pyskl - INFO - Epoch [296][100/523] lr: 3.172e-05, eta: 0:19:37, time: 0.692, data_time: 0.256, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.4852, loss: 1.4852
2025-06-04 13:21:52,520 - pyskl - INFO - Epoch [296][200/523] lr: 2.925e-05, eta: 0:18:51, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 1.3938, loss: 1.3938
2025-06-04 13:22:36,239 - pyskl - INFO - Epoch [296][300/523] lr: 2.688e-05, eta: 0:18:04, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 1.4225, loss: 1.4225
2025-06-04 13:23:20,018 - pyskl - INFO - Epoch [296][400/523] lr: 2.461e-05, eta: 0:17:17, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.4538, loss: 1.4538
2025-06-04 13:24:03,880 - pyskl - INFO - Epoch [296][500/523] lr: 2.244e-05, eta: 0:16:30, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9984, top5_acc: 1.0000, loss_cls: 1.4543, loss: 1.4543
2025-06-04 13:24:14,805 - pyskl - INFO - Saving checkpoint at 296 epochs
2025-06-04 13:24:43,132 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 13:24:43,201 - pyskl - INFO -
top1_acc 0.4579
top5_acc 0.6477
2025-06-04 13:24:43,201 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 13:24:43,209 - pyskl - INFO -
mean_acc 0.4578
2025-06-04 13:24:43,210 - pyskl - INFO - Epoch(val) [296][198] top1_acc: 0.4579, top5_acc: 0.6477, mean_class_accuracy: 0.4578
2025-06-04 13:25:51,010 - pyskl - INFO - Epoch [297][100/523] lr: 1.990e-05, eta: 0:15:33, time: 0.678, data_time: 0.254, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 1.4601, loss: 1.4601
2025-06-04 13:26:33,553 - pyskl - INFO - Epoch [297][200/523] lr: 1.796e-05, eta: 0:14:46, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.4740, loss: 1.4740
2025-06-04 13:27:16,068 - pyskl - INFO - Epoch [297][300/523] lr: 1.611e-05, eta: 0:13:59, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3950, loss: 1.3950
2025-06-04 13:27:59,694 - pyskl - INFO - Epoch [297][400/523] lr: 1.436e-05, eta: 0:13:12, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.4585, loss: 1.4585
2025-06-04 13:28:43,090 - pyskl - INFO - Epoch [297][500/523] lr: 1.272e-05, eta: 0:12:25, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 1.3804, loss: 1.3804
2025-06-04 13:28:53,706 - pyskl - INFO - Saving checkpoint at 297 epochs
2025-06-04 13:29:21,664 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 13:29:21,730 - pyskl - INFO -
top1_acc 0.4593
top5_acc 0.6567
2025-06-04 13:29:21,731 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 13:29:21,737 - pyskl - INFO -
mean_acc 0.4597
2025-06-04 13:29:21,738 - pyskl - INFO - Epoch(val) [297][198] top1_acc: 0.4593, top5_acc: 0.6567, mean_class_accuracy: 0.4597
2025-06-04 13:30:29,343 - pyskl - INFO - Epoch [298][100/523] lr: 1.083e-05, eta: 0:11:27, time: 0.676, data_time: 0.255, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 1.4545, loss: 1.4545
2025-06-04 13:31:12,305 - pyskl - INFO - Epoch [298][200/523] lr: 9.405e-06, eta: 0:10:41, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3883, loss: 1.3883
2025-06-04 13:31:56,107 - pyskl - INFO - Epoch [298][300/523] lr: 8.083e-06, eta: 0:09:54, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 1.4221, loss: 1.4221
2025-06-04 13:32:39,866 - pyskl - INFO - Epoch [298][400/523] lr: 6.860e-06, eta: 0:09:07, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.4199, loss: 1.4199
2025-06-04 13:33:23,530 - pyskl - INFO - Epoch [298][500/523] lr: 5.737e-06, eta: 0:08:20, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 1.3631, loss: 1.3631
2025-06-04 13:33:34,221 - pyskl - INFO - Saving checkpoint at 298 epochs
2025-06-04 13:34:02,110 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 13:34:02,178 - pyskl - INFO -
top1_acc 0.4622
top5_acc 0.6524
2025-06-04 13:34:02,178 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 13:34:02,185 - pyskl - INFO -
mean_acc 0.4630
2025-06-04 13:34:02,186 - pyskl - INFO - Epoch(val) [298][198] top1_acc: 0.4622, top5_acc: 0.6524, mean_class_accuracy: 0.4630
2025-06-04 13:35:09,714 - pyskl - INFO - Epoch [299][100/523] lr: 4.494e-06, eta: 0:07:23, time: 0.675, data_time: 0.251, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 1.4379, loss: 1.4379
2025-06-04 13:35:51,556 - pyskl - INFO - Epoch [299][200/523] lr: 3.595e-06, eta: 0:06:36, time: 0.418, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.4432, loss: 1.4432
2025-06-04 13:36:33,354 - pyskl - INFO - Epoch [299][300/523] lr: 2.796e-06, eta: 0:05:49, time: 0.418, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.4022, loss: 1.4022
2025-06-04 13:37:15,131 - pyskl - INFO - Epoch [299][400/523] lr: 2.098e-06, eta: 0:05:02, time: 0.418, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.4107, loss: 1.4107
2025-06-04 13:37:56,875 - pyskl - INFO - Epoch [299][500/523] lr: 1.499e-06, eta: 0:04:15, time: 0.417, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.4059, loss: 1.4059
2025-06-04 13:38:07,175 - pyskl - INFO - Saving checkpoint at 299 epochs
2025-06-04 13:38:35,649 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 13:38:35,718 - pyskl - INFO -
top1_acc 0.4514
top5_acc 0.6312
2025-06-04 13:38:35,718 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 13:38:35,726 - pyskl - INFO -
mean_acc 0.4507
2025-06-04 13:38:35,727 - pyskl - INFO - Epoch(val) [299][198] top1_acc: 0.4514, top5_acc: 0.6312, mean_class_accuracy: 0.4507
2025-06-04 13:39:43,107 - pyskl - INFO - Epoch [300][100/523] lr: 9.009e-07, eta: 0:03:18, time: 0.674, data_time: 0.261, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 1.4410, loss: 1.4410
2025-06-04 13:40:24,180 - pyskl - INFO - Epoch [300][200/523] lr: 5.261e-07, eta: 0:02:31, time: 0.411, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 1.4259, loss: 1.4259
2025-06-04 13:41:05,313 - pyskl - INFO - Epoch [300][300/523] lr: 2.515e-07, eta: 0:01:44, time: 0.411, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3824, loss: 1.3824
2025-06-04 13:41:46,380 - pyskl - INFO - Epoch [300][400/523] lr: 7.706e-08, eta: 0:00:57, time: 0.411, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 1.4066, loss: 1.4066
2025-06-04 13:42:27,456 - pyskl - INFO - Epoch [300][500/523] lr: 2.887e-09, eta: 0:00:10, time: 0.411, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 1.4160, loss: 1.4160
2025-06-04 13:42:37,579 - pyskl - INFO - Saving checkpoint at 300 epochs
2025-06-04 13:43:04,660 - pyskl - INFO - Evaluating top_k_accuracy ...
2025-06-04 13:43:04,726 - pyskl - INFO -
top1_acc 0.4617
top5_acc 0.6566
2025-06-04 13:43:04,727 - pyskl - INFO - Evaluating mean_class_accuracy ...
2025-06-04 13:43:04,733 - pyskl - INFO -
mean_acc 0.4621
2025-06-04 13:43:04,734 - pyskl - INFO - Epoch(val) [300][198] top1_acc: 0.4617, top5_acc: 0.6566, mean_class_accuracy: 0.4621
2025-06-04 13:43:13,760 - pyskl - INFO - 6307 videos remain after valid thresholding
2025-06-04 13:44:57,643 - pyskl - INFO - Testing results of the last checkpoint
2025-06-04 13:44:57,643 - pyskl - INFO - top1_acc: 0.4711
2025-06-04 13:44:57,643 - pyskl - INFO - top5_acc: 0.6594
2025-06-04 13:44:57,643 - pyskl - INFO - mean_class_accuracy: 0.4720
2025-06-04 13:44:57,644 - pyskl - INFO - load checkpoint from local path: ./work_dirs/uav_csv1/k_2/best_top1_acc_epoch_294.pth
2025-06-04 13:46:42,146 - pyskl - INFO - Testing results of the best checkpoint
2025-06-04 13:46:42,147 - pyskl - INFO - top1_acc: 0.4714
2025-06-04 13:46:42,147 - pyskl - INFO - top5_acc: 0.6612
2025-06-04 13:46:42,147 - pyskl - INFO - mean_class_accuracy: 0.4724