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2023-02-02 23:06:19,626 - mmcls - INFO - Environment info:
------------------------------------------------------------
sys.platform: linux
Python: 3.8.13 | packaged by conda-forge | (default, Mar 25 2022, 06:04:10) [GCC 10.3.0]
CUDA available: True
GPU 0,1,2,3,4,5,6,7: A100-SXM4-40GB
CUDA_HOME: /usr/local/cuda
NVCC: Cuda compilation tools, release 11.7, V11.7.99
GCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0
PyTorch: 1.13.0a0+340c412
PyTorch compiling details: PyTorch built with:
- GCC 9.4
- C++ Version: 201402
- Intel(R) Math Kernel Library Version 2020.0.4 Product Build 20200917 for Intel(R) 64 architecture applications
- Intel(R) MKL-DNN v2.6.0 (Git Hash N/A)
- OpenMP 201511 (a.k.a. OpenMP 4.5)
- LAPACK is enabled (usually provided by MKL)
- NNPACK is enabled
- CPU capability usage: AVX2
- CUDA Runtime 11.7
- NVCC architecture flags: -gencode;arch=compute_52,code=sm_52;-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_86,code=compute_86
- CuDNN 8.4.1 (built against CUDA 11.6)
- Magma 2.6.2
- Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.7, CUDNN_VERSION=8.4.1, CXX_COMPILER=/usr/bin/c++, CXX_FLAGS=-fno-gnu-unique -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.13.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=ON, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF,
TorchVision: 0.13.0a0
OpenCV: 3.4.11
MMCV: 1.6.1
MMCV Compiler: GCC 9.4
MMCV CUDA Compiler: 11.7
MMClassification: 0.23.2_71ef7ba+24f49fc
------------------------------------------------------------
2023-02-02 23:06:19,626 - mmcls - INFO - Distributed training: True
2023-02-02 23:06:19,626 - mmcls - INFO - Set random seed to 0, deterministic: True
2023-02-02 23:06:19,746 - mmcls - INFO - ETF head : evaluating 60 out of 100 classes.
2023-02-02 23:06:19,746 - mmcls - INFO - ETF head : with_len : True
2023-02-02 23:06:19,754 - mmcls - INFO - load checkpoint from local path: /opt/logger/cifar_etf/best.pth
2023-02-02 23:06:19,861 - mmcls - INFO - The model config:
type = 'ImageClassifierCIL'
backbone = dict(type='ResNet12', with_avgpool=False, flatten=False)
neck = dict(type='MLPFFNNeck', in_channels=640, out_channels=512)
head = dict(
type='ETFHead',
num_classes=100,
eval_classes=60,
in_channels=512,
loss=dict(type='DRLoss', loss_weight=10.0),
topk=(1, 5),
cal_acc=True,
with_len=True)
mixup = 0.5
mixup_prob = 0.75
2023-02-02 23:06:32,835 - mmcls - INFO - The feat dataset config is :
{'type': 'CIFAR100FSCILDataset', 'data_prefix': '/opt/data/cifar', 'pipeline': [{'type': 'Resize', 'size': (36, -1), 'interpolation': 'bicubic'}, {'type': 'CenterCrop', 'crop_size': 32}, {'type': 'Normalize', 'mean': [129.304, 124.07, 112.434], 'std': [68.17, 65.392, 70.418], 'to_rgb': False}, {'type': 'ImageToTensor', 'keys': ['img']}, {'type': 'Collect', 'keys': ['img', 'gt_label'], 'meta_keys': ('filename', 'ori_filename', 'ori_shape', 'img_shape', 'flip', 'flip_direction', 'img_norm_cfg', 'cls_id', 'img_id')}], 'num_cls': 60, 'subset': 'train'}
2023-02-02 23:06:43,867 - mmcls - INFO - Feat init done with 60 classes
2023-02-02 23:06:48,666 - mmcls - INFO - Memory done with 60 classes
2023-02-02 23:06:48,779 - mmcls - INFO - The test dataset config is :
{'type': 'CIFAR100FSCILDataset', 'data_prefix': '/opt/data/cifar', 'pipeline': [{'type': 'Resize', 'size': (36, -1), 'interpolation': 'bicubic'}, {'type': 'CenterCrop', 'crop_size': 32}, {'type': 'Normalize', 'mean': [129.304, 124.07, 112.434], 'std': [68.17, 65.392, 70.418], 'to_rgb': False}, {'type': 'ImageToTensor', 'keys': ['img']}, {'type': 'Collect', 'keys': ['img', 'gt_label'], 'meta_keys': ('filename', 'ori_filename', 'ori_shape', 'img_shape', 'flip', 'flip_direction', 'img_norm_cfg', 'cls_id', 'img_id')}], 'num_cls': 100, 'subset': 'test'}
2023-02-02 23:06:55,419 - mmcls - INFO - Test memory done with 100 classes
2023-02-02 23:06:55,576 - mmcls - INFO - The incremental dataset config is :
{'type': 'CIFAR100FSCILDataset', 'data_prefix': '/opt/data/cifar', 'pipeline': [{'type': 'Resize', 'size': (36, -1), 'interpolation': 'bicubic'}, {'type': 'CenterCrop', 'crop_size': 32}, {'type': 'Normalize', 'mean': [129.304, 124.07, 112.434], 'std': [68.17, 65.392, 70.418], 'to_rgb': False}, {'type': 'ImageToTensor', 'keys': ['img']}, {'type': 'Collect', 'keys': ['img', 'gt_label'], 'meta_keys': ('filename', 'ori_filename', 'ori_shape', 'img_shape', 'flip', 'flip_direction', 'img_norm_cfg', 'cls_id', 'img_id')}], 'num_cls': 60, 'subset': 'train', 'few_cls': (60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99)}
2023-02-02 23:06:58,591 - mmcls - INFO - Incremental memory done with 40 classes
2023-02-02 23:06:58,863 - mmcls - INFO - Evaluating session 1, from 0 to 60.
2023-02-02 23:07:01,226 - mmcls - INFO - [01]Evaluation results : acc : 82.52 ; acc_base : 82.52 ; acc_inc : nan
2023-02-02 23:07:01,226 - mmcls - INFO - [01]Evaluation results : acc_incremental_old : nan ; acc_incremental_new : 82.00
2023-02-02 23:07:01,227 - mmcls - INFO - Start to execute the incremental sessions.
2023-02-02 23:07:01,298 - mmcls - INFO - Starting session : 2 ------------------------------------------------------------
2023-02-02 23:07:01,298 - mmcls - INFO - Newly added classes are from 60 to 65.
2023-02-02 23:07:01,299 - mmcls - INFO - Model now can classify 65 classes
2023-02-02 23:07:01,299 - mmcls - INFO - 50 steps
2023-02-02 23:07:01,299 - mmcls - INFO - Extracting mean neck feat from 60 to 60
2023-02-02 23:07:01,299 - mmcls - INFO - Copy 1 duplications.
2023-02-02 23:07:01,300 - mmcls - INFO - Session : 2 ; The dataset has 85 samples.
2023-02-02 23:07:01,300 - mmcls - INFO - Labels : [60, 60, 60, 60, 60, 61, 61, 61, 61, 61, 62, 62, 62, 62, 62, 63, 63, 63, 63, 63, 64, 64, 64, 64, 64, 19, 39, 8, 49, 47, 53, 35, 11, 29, 28, 31, 21, 25, 48, 2, 44, 5, 57, 23, 51, 4, 26, 22, 34, 40, 27, 33, 1, 45, 37, 32, 54, 43, 3, 56, 24, 15, 42, 13, 7, 36, 41, 18, 12, 38, 52, 9, 50, 58, 16, 6, 10, 14, 20, 55, 17, 30, 59, 0, 46]
2023-02-02 23:07:03,306 - mmcls - INFO - [001/050] Training session : 2 ; lr : 0.06991559434150288 ; loss : 1.221191644668579 ; acc@1 : 37.5
2023-02-02 23:07:03,313 - mmcls - INFO - loss1 1.1668164730072021 ; loss2 1.275566816329956
2023-02-02 23:07:05,616 - mmcls - INFO - [002/050] Training session : 2 ; lr : 0.11444600981311388 ; loss : 0.7068954706192017 ; acc@1 : 62.5
2023-02-02 23:07:07,995 - mmcls - INFO - [003/050] Training session : 2 ; lr : 0.1582692899781174 ; loss : 0.8108724355697632 ; acc@1 : 62.5
2023-02-02 23:07:07,995 - mmcls - INFO - loss1 0.7873086929321289 ; loss2 0.8344361782073975
2023-02-02 23:07:10,448 - mmcls - INFO - [004/050] Training session : 2 ; lr : 0.20106903059534093 ; loss : 0.7836565375328064 ; acc@1 : 62.5
2023-02-02 23:07:10,449 - mmcls - INFO - loss1 0.6993825435638428 ; loss2 0.86793053150177
2023-02-02 23:07:12,901 - mmcls - INFO - [005/050] Training session : 2 ; lr : 0.24253696182225618 ; loss : 0.7889053225517273 ; acc@1 : 50.0
2023-02-02 23:07:12,902 - mmcls - INFO - loss1 0.765873908996582 ; loss2 0.8119367361068726
2023-02-02 23:07:15,095 - mmcls - INFO - [006/050] Training session : 2 ; lr : 0.23930125038327185 ; loss : 0.7489957809448242 ; acc@1 : 37.5
2023-02-02 23:07:15,095 - mmcls - INFO - loss1 0.7547580599784851 ; loss2 0.7432334423065186
2023-02-02 23:07:17,615 - mmcls - INFO - [007/050] Training session : 2 ; lr : 0.23551476461629223 ; loss : 0.42462071776390076 ; acc@1 : 62.5
2023-02-02 23:07:17,616 - mmcls - INFO - loss1 0.4032033383846283 ; loss2 0.4460380971431732
2023-02-02 23:07:20,187 - mmcls - INFO - [008/050] Training session : 2 ; lr : 0.2311959518993577 ; loss : 0.5518637299537659 ; acc@1 : 62.5
2023-02-02 23:07:20,189 - mmcls - INFO - loss1 0.550500750541687 ; loss2 0.5532267093658447
2023-02-02 23:07:22,255 - mmcls - INFO - [009/050] Training session : 2 ; lr : 0.22636585305389975 ; loss : 0.5410740971565247 ; acc@1 : 62.5
2023-02-02 23:07:22,256 - mmcls - INFO - loss1 0.5258113145828247 ; loss2 0.5563368797302246
2023-02-02 23:07:24,477 - mmcls - INFO - [010/050] Training session : 2 ; lr : 0.2210479998359735 ; loss : 0.1288665384054184 ; acc@1 : 87.5
2023-02-02 23:07:26,886 - mmcls - INFO - [011/050] Training session : 2 ; lr : 0.21526830029190808 ; loss : 0.5895569920539856 ; acc@1 : 50.0
2023-02-02 23:07:26,887 - mmcls - INFO - loss1 0.5478771924972534 ; loss2 0.6312367916107178
2023-02-02 23:07:29,724 - mmcls - INFO - [012/050] Training session : 2 ; lr : 0.2090549125369087 ; loss : 0.7911109924316406 ; acc@1 : 50.0
2023-02-02 23:07:29,724 - mmcls - INFO - loss1 0.7843518853187561 ; loss2 0.7978700995445251
2023-02-02 23:07:31,866 - mmcls - INFO - [013/050] Training session : 2 ; lr : 0.2024381075715502 ; loss : 0.5750578045845032 ; acc@1 : 50.0
2023-02-02 23:07:31,866 - mmcls - INFO - loss1 0.5861086249351501 ; loss2 0.5640069842338562
2023-02-02 23:07:34,193 - mmcls - INFO - [014/050] Training session : 2 ; lr : 0.1954501218045049 ; loss : 0.4686543345451355 ; acc@1 : 50.0
2023-02-02 23:07:34,194 - mmcls - INFO - loss1 0.46777039766311646 ; loss2 0.46953827142715454
2023-02-02 23:07:36,165 - mmcls - INFO - [015/050] Training session : 2 ; lr : 0.188125 ; loss : 0.44655007123947144 ; acc@1 : 62.5
2023-02-02 23:07:36,165 - mmcls - INFO - loss1 0.4347827732563019 ; loss2 0.4583173990249634
2023-02-02 23:07:38,383 - mmcls - INFO - [016/050] Training session : 2 ; lr : 0.18049842941514832 ; loss : 0.24577291309833527 ; acc@1 : 87.5
2023-02-02 23:07:41,059 - mmcls - INFO - [017/050] Training session : 2 ; lr : 0.17260756593521914 ; loss : 0.4866216778755188 ; acc@1 : 50.0
2023-02-02 23:07:41,059 - mmcls - INFO - loss1 0.4651355743408203 ; loss2 0.5081077814102173
2023-02-02 23:07:43,034 - mmcls - INFO - [018/050] Training session : 2 ; lr : 0.16449085305389974 ; loss : 0.016298172995448112 ; acc@1 : 100.0
2023-02-02 23:07:45,453 - mmcls - INFO - [019/050] Training session : 2 ; lr : 0.15618783458045887 ; loss : 0.04724396392703056 ; acc@1 : 100.0
2023-02-02 23:07:47,863 - mmcls - INFO - [020/050] Training session : 2 ; lr : 0.14773896198628264 ; loss : 0.22414669394493103 ; acc@1 : 62.5
2023-02-02 23:07:47,864 - mmcls - INFO - loss1 0.225714311003685 ; loss2 0.22257909178733826
2023-02-02 23:07:50,303 - mmcls - INFO - [021/050] Training session : 2 ; lr : 0.13918539732937213 ; loss : 0.3646961450576782 ; acc@1 : 50.0
2023-02-02 23:07:50,304 - mmcls - INFO - loss1 0.37696537375450134 ; loss2 0.3524269163608551
2023-02-02 23:07:52,450 - mmcls - INFO - [022/050] Training session : 2 ; lr : 0.13056881271693452 ; loss : 0.4243219494819641 ; acc@1 : 37.5
2023-02-02 23:07:52,451 - mmcls - INFO - loss1 0.4652760624885559 ; loss2 0.3833678364753723
2023-02-02 23:07:54,801 - mmcls - INFO - [023/050] Training session : 2 ; lr : 0.12193118728306554 ; loss : 0.04385480657219887 ; acc@1 : 100.0
2023-02-02 23:07:57,273 - mmcls - INFO - [024/050] Training session : 2 ; lr : 0.1133146026706279 ; loss : 0.7434990406036377 ; acc@1 : 37.5
2023-02-02 23:07:57,273 - mmcls - INFO - loss1 0.7687069177627563 ; loss2 0.718291163444519
2023-02-02 23:07:59,916 - mmcls - INFO - [025/050] Training session : 2 ; lr : 0.10476103801371738 ; loss : 0.5119009613990784 ; acc@1 : 62.5
2023-02-02 23:07:59,916 - mmcls - INFO - loss1 0.5368863940238953 ; loss2 0.48691555857658386
2023-02-02 23:08:02,415 - mmcls - INFO - [026/050] Training session : 2 ; lr : 0.09631216541954114 ; loss : 0.5868649482727051 ; acc@1 : 50.0
2023-02-02 23:08:02,415 - mmcls - INFO - loss1 0.5728303790092468 ; loss2 0.6008994579315186
2023-02-02 23:08:04,585 - mmcls - INFO - [027/050] Training session : 2 ; lr : 0.08800914694610026 ; loss : 0.2785252332687378 ; acc@1 : 62.5
2023-02-02 23:08:04,586 - mmcls - INFO - loss1 0.2713574171066284 ; loss2 0.28569307923316956
2023-02-02 23:08:06,687 - mmcls - INFO - [028/050] Training session : 2 ; lr : 0.07989243406478089 ; loss : 0.35072535276412964 ; acc@1 : 62.5
2023-02-02 23:08:06,688 - mmcls - INFO - loss1 0.3263223171234131 ; loss2 0.3751283586025238
2023-02-02 23:08:09,128 - mmcls - INFO - [029/050] Training session : 2 ; lr : 0.07200157058485165 ; loss : 0.6291182041168213 ; acc@1 : 62.5
2023-02-02 23:08:09,128 - mmcls - INFO - loss1 0.5270506739616394 ; loss2 0.7311857342720032
2023-02-02 23:08:11,561 - mmcls - INFO - [030/050] Training session : 2 ; lr : 0.06437500000000003 ; loss : 0.5053822994232178 ; acc@1 : 37.5
2023-02-02 23:08:11,562 - mmcls - INFO - loss1 0.5186459422111511 ; loss2 0.4921187162399292
2023-02-02 23:08:14,294 - mmcls - INFO - [031/050] Training session : 2 ; lr : 0.0570498781954951 ; loss : 0.44905441999435425 ; acc@1 : 62.5
2023-02-02 23:08:14,295 - mmcls - INFO - loss1 0.45209014415740967 ; loss2 0.44601869583129883
2023-02-02 23:08:16,644 - mmcls - INFO - [032/050] Training session : 2 ; lr : 0.050061892428449786 ; loss : 0.4393542408943176 ; acc@1 : 50.0
2023-02-02 23:08:16,645 - mmcls - INFO - loss1 0.4614195227622986 ; loss2 0.41728895902633667
2023-02-02 23:08:18,908 - mmcls - INFO - [033/050] Training session : 2 ; lr : 0.043445087463091336 ; loss : 0.5362683534622192 ; acc@1 : 50.0
2023-02-02 23:08:18,908 - mmcls - INFO - loss1 0.5510687828063965 ; loss2 0.5214678645133972
2023-02-02 23:08:21,363 - mmcls - INFO - [034/050] Training session : 2 ; lr : 0.037231699708091946 ; loss : 0.509307861328125 ; acc@1 : 37.5
2023-02-02 23:08:21,363 - mmcls - INFO - loss1 0.5384587645530701 ; loss2 0.4801569879055023
2023-02-02 23:08:23,813 - mmcls - INFO - [035/050] Training session : 2 ; lr : 0.03145200016402649 ; loss : 0.1928674876689911 ; acc@1 : 75.0
2023-02-02 23:08:23,813 - mmcls - INFO - loss1 0.19342708587646484 ; loss2 0.19230790436267853
2023-02-02 23:08:26,305 - mmcls - INFO - [036/050] Training session : 2 ; lr : 0.026134146946100265 ; loss : 0.5552242994308472 ; acc@1 : 50.0
2023-02-02 23:08:26,305 - mmcls - INFO - loss1 0.5763578414916992 ; loss2 0.5340908169746399
2023-02-02 23:08:28,839 - mmcls - INFO - [037/050] Training session : 2 ; lr : 0.021304048100642285 ; loss : 0.3887924253940582 ; acc@1 : 62.5
2023-02-02 23:08:28,839 - mmcls - INFO - loss1 0.3801026940345764 ; loss2 0.39748215675354004
2023-02-02 23:08:31,200 - mmcls - INFO - [038/050] Training session : 2 ; lr : 0.016985235383707786 ; loss : 0.44840896129608154 ; acc@1 : 50.0
2023-02-02 23:08:31,201 - mmcls - INFO - loss1 0.48572903871536255 ; loss2 0.41108888387680054
2023-02-02 23:08:33,981 - mmcls - INFO - [039/050] Training session : 2 ; lr : 0.01319874961672813 ; loss : 0.0437852218747139 ; acc@1 : 100.0
2023-02-02 23:08:36,704 - mmcls - INFO - [040/050] Training session : 2 ; lr : 0.009963038177743846 ; loss : 0.013713609427213669 ; acc@1 : 100.0
2023-02-02 23:08:38,564 - mmcls - INFO - [041/050] Training session : 2 ; lr : 0.007293865127633036 ; loss : 0.4259086847305298 ; acc@1 : 62.5
2023-02-02 23:08:38,565 - mmcls - INFO - loss1 0.4856460690498352 ; loss2 0.36617130041122437
2023-02-02 23:08:40,614 - mmcls - INFO - [042/050] Training session : 2 ; lr : 0.0052042344091915455 ; loss : 0.4499741196632385 ; acc@1 : 62.5
2023-02-02 23:08:40,614 - mmcls - INFO - loss1 0.4536067843437195 ; loss2 0.44634148478507996
2023-02-02 23:08:43,224 - mmcls - INFO - [043/050] Training session : 2 ; lr : 0.0037043264932306677 ; loss : 0.3436950147151947 ; acc@1 : 75.0
2023-02-02 23:08:43,225 - mmcls - INFO - loss1 0.3457317352294922 ; loss2 0.3416582942008972
2023-02-02 23:08:46,249 - mmcls - INFO - [044/050] Training session : 2 ; lr : 0.0028014487803467557 ; loss : 0.5770438313484192 ; acc@1 : 50.0
2023-02-02 23:08:46,249 - mmcls - INFO - loss1 0.5743105411529541 ; loss2 0.5797771215438843
2023-02-02 23:08:48,426 - mmcls - INFO - [045/050] Training session : 2 ; lr : 0.0025 ; loss : 0.42196330428123474 ; acc@1 : 62.5
2023-02-02 23:08:48,457 - mmcls - INFO - loss1 0.42543110251426697 ; loss2 0.4184955060482025
2023-02-02 23:08:50,697 - mmcls - INFO - [046/050] Training session : 2 ; lr : 0.00025 ; loss : 0.3631732165813446 ; acc@1 : 50.0
2023-02-02 23:08:50,698 - mmcls - INFO - loss1 0.3409287929534912 ; loss2 0.385417640209198
2023-02-02 23:08:53,141 - mmcls - INFO - [047/050] Training session : 2 ; lr : 0.00025 ; loss : 0.5530484914779663 ; acc@1 : 62.5
2023-02-02 23:08:53,142 - mmcls - INFO - loss1 0.5834918022155762 ; loss2 0.5226051211357117
2023-02-02 23:08:55,375 - mmcls - INFO - [048/050] Training session : 2 ; lr : 0.00025 ; loss : 0.7057092189788818 ; acc@1 : 37.5
2023-02-02 23:08:55,375 - mmcls - INFO - loss1 0.7150660753250122 ; loss2 0.6963523626327515
2023-02-02 23:08:58,261 - mmcls - INFO - [049/050] Training session : 2 ; lr : 0.00025 ; loss : 0.3681715130805969 ; acc@1 : 50.0
2023-02-02 23:08:58,262 - mmcls - INFO - loss1 0.37334805727005005 ; loss2 0.3629949986934662
2023-02-02 23:09:00,638 - mmcls - INFO - [050/050] Training session : 2 ; lr : 0.00025 ; loss : 0.422052800655365 ; acc@1 : 62.5
2023-02-02 23:09:00,638 - mmcls - INFO - loss1 0.43543127179145813 ; loss2 0.40867432951927185
2023-02-02 23:09:00,639 - mmcls - INFO - Evaluating session 2, from 0 to 65.
2023-02-02 23:09:03,657 - mmcls - INFO - [02]Evaluation results : acc : 76.82 ; acc_base : 79.55 ; acc_inc : 44.00
2023-02-02 23:09:03,657 - mmcls - INFO - [02]Evaluation results : acc_incremental_old : nan ; acc_incremental_new : 44.00
2023-02-02 23:09:03,745 - mmcls - INFO - Starting session : 3 ------------------------------------------------------------
2023-02-02 23:09:03,746 - mmcls - INFO - Newly added classes are from 65 to 70.
2023-02-02 23:09:03,746 - mmcls - INFO - Model now can classify 70 classes
2023-02-02 23:09:03,746 - mmcls - INFO - 75 steps
2023-02-02 23:09:03,746 - mmcls - INFO - Extracting mean neck feat from 60 to 65
2023-02-02 23:09:03,746 - mmcls - INFO - Copy 1 duplications.
2023-02-02 23:09:03,748 - mmcls - INFO - Session : 3 ; The dataset has 90 samples.
2023-02-02 23:09:03,748 - mmcls - INFO - Labels : [65, 65, 65, 65, 65, 66, 66, 66, 66, 66, 67, 67, 67, 67, 67, 68, 68, 68, 68, 68, 69, 69, 69, 69, 69, 60, 61, 62, 63, 64, 19, 39, 8, 49, 47, 53, 35, 11, 29, 28, 31, 21, 25, 48, 2, 44, 5, 57, 23, 51, 4, 26, 22, 34, 40, 27, 33, 1, 45, 37, 32, 54, 43, 3, 56, 24, 15, 42, 13, 7, 36, 41, 18, 12, 38, 52, 9, 50, 58, 16, 6, 10, 14, 20, 55, 17, 30, 59, 0, 46]
2023-02-02 23:09:05,733 - mmcls - INFO - [001/075] Training session : 3 ; lr : 0.06996510975565653 ; loss : 0.7641029953956604 ; acc@1 : 62.5
2023-02-02 23:09:08,112 - mmcls - INFO - [002/075] Training session : 3 ; lr : 0.11477083668567897 ; loss : 0.7447859644889832 ; acc@1 : 62.5
2023-02-02 23:09:10,507 - mmcls - INFO - [003/075] Training session : 3 ; lr : 0.1592832211320204 ; loss : 0.4727880358695984 ; acc@1 : 75.0
2023-02-02 23:09:13,170 - mmcls - INFO - [004/075] Training session : 3 ; lr : 0.20336925500304595 ; loss : 0.6254541873931885 ; acc@1 : 37.5
2023-02-02 23:09:13,170 - mmcls - INFO - loss1 0.6366373300552368 ; loss2 0.6142710447311401
2023-02-02 23:09:15,456 - mmcls - INFO - [005/075] Training session : 3 ; lr : 0.24689732913250065 ; loss : 0.9401416182518005 ; acc@1 : 37.5
2023-02-02 23:09:15,457 - mmcls - INFO - loss1 0.9250710010528564 ; loss2 0.9552122354507446
2023-02-02 23:09:17,828 - mmcls - INFO - [006/075] Training session : 3 ; lr : 0.24554040401111185 ; loss : 0.84203040599823 ; acc@1 : 37.5
2023-02-02 23:09:17,828 - mmcls - INFO - loss1 0.8657736778259277 ; loss2 0.8182870745658875
2023-02-02 23:09:19,835 - mmcls - INFO - [007/075] Training session : 3 ; lr : 0.24394324389152527 ; loss : 0.1804620772600174 ; acc@1 : 100.0
2023-02-02 23:09:22,183 - mmcls - INFO - [008/075] Training session : 3 ; lr : 0.24210906524166748 ; loss : 0.27481958270072937 ; acc@1 : 62.5
2023-02-02 23:09:24,656 - mmcls - INFO - [009/075] Training session : 3 ; lr : 0.24004156185324205 ; loss : 0.6915984153747559 ; acc@1 : 62.5
2023-02-02 23:09:24,656 - mmcls - INFO - loss1 0.6944310665130615 ; loss2 0.6887657046318054
2023-02-02 23:09:26,635 - mmcls - INFO - [010/075] Training session : 3 ; lr : 0.23774489740292434 ; loss : 0.6582765579223633 ; acc@1 : 62.5
2023-02-02 23:09:26,635 - mmcls - INFO - loss1 0.6698262691497803 ; loss2 0.6467267870903015
2023-02-02 23:09:28,488 - mmcls - INFO - [011/075] Training session : 3 ; lr : 0.23522369706727134 ; loss : 0.912228524684906 ; acc@1 : 50.0
2023-02-02 23:09:28,488 - mmcls - INFO - loss1 0.9275765419006348 ; loss2 0.8968805074691772
2023-02-02 23:09:30,881 - mmcls - INFO - [012/075] Training session : 3 ; lr : 0.23248303820823094 ; loss : 0.9600788354873657 ; acc@1 : 50.0
2023-02-02 23:09:30,881 - mmcls - INFO - loss1 0.9375488758087158 ; loss2 0.9826088547706604
2023-02-02 23:09:33,070 - mmcls - INFO - [013/075] Training session : 3 ; lr : 0.22952844014801121 ; loss : 0.5125870108604431 ; acc@1 : 62.5
2023-02-02 23:09:33,070 - mmcls - INFO - loss1 0.5218394994735718 ; loss2 0.5033345222473145
2023-02-02 23:09:35,504 - mmcls - INFO - [014/075] Training session : 3 ; lr : 0.22636585305389975 ; loss : 0.06776321679353714 ; acc@1 : 100.0
2023-02-02 23:09:37,710 - mmcls - INFO - [015/075] Training session : 3 ; lr : 0.22300164595541871 ; loss : 0.5070781707763672 ; acc@1 : 62.5
2023-02-02 23:09:37,711 - mmcls - INFO - loss1 0.5205220580101013 ; loss2 0.49363431334495544
2023-02-02 23:09:40,410 - mmcls - INFO - [016/075] Training session : 3 ; lr : 0.21944259391794688 ; loss : 0.03871065005660057 ; acc@1 : 100.0
2023-02-02 23:09:42,700 - mmcls - INFO - [017/075] Training session : 3 ; lr : 0.2156958643986397 ; loss : 0.5784274935722351 ; acc@1 : 62.5
2023-02-02 23:09:42,701 - mmcls - INFO - loss1 0.5683232545852661 ; loss2 0.5885317325592041
2023-02-02 23:09:44,888 - mmcls - INFO - [018/075] Training session : 3 ; lr : 0.21176900281212452 ; loss : 0.7374866008758545 ; acc@1 : 62.5
2023-02-02 23:09:44,888 - mmcls - INFO - loss1 0.6585614681243896 ; loss2 0.8164116740226746
2023-02-02 23:09:47,699 - mmcls - INFO - [019/075] Training session : 3 ; lr : 0.20766991733503945 ; loss : 0.3468490242958069 ; acc@1 : 75.0
2023-02-02 23:09:47,700 - mmcls - INFO - loss1 0.35374200344085693 ; loss2 0.33995604515075684
2023-02-02 23:09:50,036 - mmcls - INFO - [020/075] Training session : 3 ; lr : 0.20340686298001828 ; loss : 0.436873197555542 ; acc@1 : 62.5
2023-02-02 23:09:50,037 - mmcls - INFO - loss1 0.508102297782898 ; loss2 0.36564409732818604
2023-02-02 23:09:52,646 - mmcls - INFO - [021/075] Training session : 3 ; lr : 0.19898842497119354 ; loss : 0.5885019302368164 ; acc@1 : 62.5
2023-02-02 23:09:52,647 - mmcls - INFO - loss1 0.6008729338645935 ; loss2 0.5761309862136841
2023-02-02 23:09:54,624 - mmcls - INFO - [022/075] Training session : 3 ; lr : 0.1944235014546977 ; loss : 0.7428566217422485 ; acc@1 : 37.5
2023-02-02 23:09:54,625 - mmcls - INFO - loss1 0.8373273015022278 ; loss2 0.6483860015869141
2023-02-02 23:09:57,157 - mmcls - INFO - [023/075] Training session : 3 ; lr : 0.1897212855789809 ; loss : 0.0487658716738224 ; acc@1 : 100.0
2023-02-02 23:09:59,758 - mmcls - INFO - [024/075] Training session : 3 ; lr : 0.18489124698103357 ; loss : 0.4419446885585785 ; acc@1 : 50.0
2023-02-02 23:09:59,758 - mmcls - INFO - loss1 0.4524194598197937 ; loss2 0.4314699172973633
2023-02-02 23:10:01,821 - mmcls - INFO - [025/075] Training session : 3 ; lr : 0.1799431127157978 ; loss : 0.06057966500520706 ; acc@1 : 100.0
2023-02-02 23:10:03,979 - mmcls - INFO - [026/075] Training session : 3 ; lr : 0.17488684766717305 ; loss : 0.023595936596393585 ; acc@1 : 100.0
2023-02-02 23:10:06,522 - mmcls - INFO - [027/075] Training session : 3 ; lr : 0.16973263448006617 ; loss : 0.8138340711593628 ; acc@1 : 75.0
2023-02-02 23:10:06,522 - mmcls - INFO - loss1 0.7997277975082397 ; loss2 0.8279404044151306
2023-02-02 23:10:09,239 - mmcls - INFO - [028/075] Training session : 3 ; lr : 0.16449085305389974 ; loss : 0.40085721015930176 ; acc@1 : 75.0
2023-02-02 23:10:09,240 - mmcls - INFO - loss1 0.38689985871315 ; loss2 0.4148145914077759
2023-02-02 23:10:11,909 - mmcls - INFO - [029/075] Training session : 3 ; lr : 0.15917205963887604 ; loss : 0.6359817981719971 ; acc@1 : 37.5
2023-02-02 23:10:11,910 - mmcls - INFO - loss1 0.7208666205406189 ; loss2 0.5510969161987305
2023-02-02 23:10:14,383 - mmcls - INFO - [030/075] Training session : 3 ; lr : 0.1537869655770939 ; loss : 0.508209764957428 ; acc@1 : 62.5
2023-02-02 23:10:14,384 - mmcls - INFO - loss1 0.4891905188560486 ; loss2 0.5272290110588074
2023-02-02 23:10:16,597 - mmcls - INFO - [031/075] Training session : 3 ; lr : 0.14834641573133128 ; loss : 0.5613630414009094 ; acc@1 : 62.5
2023-02-02 23:10:16,597 - mmcls - INFO - loss1 0.5413641333580017 ; loss2 0.5813619494438171
2023-02-02 23:10:18,868 - mmcls - INFO - [032/075] Training session : 3 ; lr : 0.14286136664493487 ; loss : 0.4993516206741333 ; acc@1 : 50.0
2023-02-02 23:10:18,869 - mmcls - INFO - loss1 0.513741672039032 ; loss2 0.484961599111557
2023-02-02 23:10:21,088 - mmcls - INFO - [033/075] Training session : 3 ; lr : 0.1373428644767999 ; loss : 0.45621901750564575 ; acc@1 : 62.5
2023-02-02 23:10:21,089 - mmcls - INFO - loss1 0.4289880096912384 ; loss2 0.4834499955177307
2023-02-02 23:10:23,405 - mmcls - INFO - [034/075] Training session : 3 ; lr : 0.13180202275587624 ; loss : 0.5899671316146851 ; acc@1 : 62.5
2023-02-02 23:10:23,405 - mmcls - INFO - loss1 0.6109237670898438 ; loss2 0.5690104961395264
2023-02-02 23:10:25,602 - mmcls - INFO - [035/075] Training session : 3 ; lr : 0.12625 ; loss : 0.033086273819208145 ; acc@1 : 100.0
2023-02-02 23:10:28,261 - mmcls - INFO - [036/075] Training session : 3 ; lr : 0.12069797724412382 ; loss : 0.7489499449729919 ; acc@1 : 50.0
2023-02-02 23:10:28,262 - mmcls - INFO - loss1 0.7324931025505066 ; loss2 0.7654067873954773
2023-02-02 23:10:30,466 - mmcls - INFO - [037/075] Training session : 3 ; lr : 0.11515713552320012 ; loss : 0.022644471377134323 ; acc@1 : 100.0
2023-02-02 23:10:32,634 - mmcls - INFO - [038/075] Training session : 3 ; lr : 0.10963863335506517 ; loss : 0.03419230133295059 ; acc@1 : 100.0
2023-02-02 23:10:35,078 - mmcls - INFO - [039/075] Training session : 3 ; lr : 0.10415358426866872 ; loss : 0.4714505076408386 ; acc@1 : 62.5
2023-02-02 23:10:35,079 - mmcls - INFO - loss1 0.5221250057220459 ; loss2 0.42077603936195374
2023-02-02 23:10:37,878 - mmcls - INFO - [040/075] Training session : 3 ; lr : 0.0987130344229061 ; loss : 0.3184784948825836 ; acc@1 : 75.0
2023-02-02 23:10:37,878 - mmcls - INFO - loss1 0.3184784948825836 ; loss2 0.3184784948825836
2023-02-02 23:10:40,112 - mmcls - INFO - [041/075] Training session : 3 ; lr : 0.09332794036112396 ; loss : 0.5791198015213013 ; acc@1 : 50.0
2023-02-02 23:10:40,112 - mmcls - INFO - loss1 0.6096916794776917 ; loss2 0.5485478639602661
2023-02-02 23:10:42,284 - mmcls - INFO - [042/075] Training session : 3 ; lr : 0.08800914694610026 ; loss : 0.286788672208786 ; acc@1 : 62.5
2023-02-02 23:10:42,285 - mmcls - INFO - loss1 0.3015204071998596 ; loss2 0.2720569372177124
2023-02-02 23:10:44,373 - mmcls - INFO - [043/075] Training session : 3 ; lr : 0.08276736551993383 ; loss : 0.024083532392978668 ; acc@1 : 100.0
2023-02-02 23:10:47,408 - mmcls - INFO - [044/075] Training session : 3 ; lr : 0.07761315233282697 ; loss : 0.5668593645095825 ; acc@1 : 50.0
2023-02-02 23:10:47,408 - mmcls - INFO - loss1 0.5875412225723267 ; loss2 0.5461775064468384
2023-02-02 23:10:49,352 - mmcls - INFO - [045/075] Training session : 3 ; lr : 0.07255688728420219 ; loss : 0.643030047416687 ; acc@1 : 50.0
2023-02-02 23:10:49,361 - mmcls - INFO - loss1 0.6540011167526245 ; loss2 0.6320589184761047
2023-02-02 23:10:51,953 - mmcls - INFO - [046/075] Training session : 3 ; lr : 0.06760875301896642 ; loss : 0.5270012617111206 ; acc@1 : 62.5
2023-02-02 23:10:51,953 - mmcls - INFO - loss1 0.5461065769195557 ; loss2 0.5078958868980408
2023-02-02 23:10:54,239 - mmcls - INFO - [047/075] Training session : 3 ; lr : 0.06277871442101912 ; loss : 0.016183434054255486 ; acc@1 : 100.0
2023-02-02 23:10:56,759 - mmcls - INFO - [048/075] Training session : 3 ; lr : 0.05807649854530233 ; loss : 0.5597231388092041 ; acc@1 : 37.5
2023-02-02 23:10:56,759 - mmcls - INFO - loss1 0.6178372502326965 ; loss2 0.5016090869903564
2023-02-02 23:10:58,885 - mmcls - INFO - [049/075] Training session : 3 ; lr : 0.05351157502880646 ; loss : 0.6709886789321899 ; acc@1 : 50.0
2023-02-02 23:10:58,885 - mmcls - INFO - loss1 0.714049220085144 ; loss2 0.6279281377792358
2023-02-02 23:11:01,286 - mmcls - INFO - [050/075] Training session : 3 ; lr : 0.049093137019981734 ; loss : 0.49553194642066956 ; acc@1 : 75.0
2023-02-02 23:11:01,287 - mmcls - INFO - loss1 0.44076675176620483 ; loss2 0.5502971410751343
2023-02-02 23:11:03,488 - mmcls - INFO - [051/075] Training session : 3 ; lr : 0.044830082664960566 ; loss : 0.019914761185646057 ; acc@1 : 100.0
2023-02-02 23:11:05,813 - mmcls - INFO - [052/075] Training session : 3 ; lr : 0.040730997187875505 ; loss : 0.008385051973164082 ; acc@1 : 100.0
2023-02-02 23:11:08,131 - mmcls - INFO - [053/075] Training session : 3 ; lr : 0.03680413560136031 ; loss : 0.4939347803592682 ; acc@1 : 50.0
2023-02-02 23:11:08,132 - mmcls - INFO - loss1 0.4938772916793823 ; loss2 0.49399226903915405
2023-02-02 23:11:10,753 - mmcls - INFO - [054/075] Training session : 3 ; lr : 0.03305740608205315 ; loss : 0.017643364146351814 ; acc@1 : 100.0
2023-02-02 23:11:13,532 - mmcls - INFO - [055/075] Training session : 3 ; lr : 0.029498354044581312 ; loss : 0.36989182233810425 ; acc@1 : 62.5
2023-02-02 23:11:13,533 - mmcls - INFO - loss1 0.36989182233810425 ; loss2 0.36989182233810425
2023-02-02 23:11:15,287 - mmcls - INFO - [056/075] Training session : 3 ; lr : 0.026134146946100265 ; loss : 0.016387339681386948 ; acc@1 : 100.0
2023-02-02 23:11:18,258 - mmcls - INFO - [057/075] Training session : 3 ; lr : 0.022971559851988798 ; loss : 0.018242856487631798 ; acc@1 : 100.0
2023-02-02 23:11:20,624 - mmcls - INFO - [058/075] Training session : 3 ; lr : 0.02001696179176907 ; loss : 0.6877427101135254 ; acc@1 : 50.0
2023-02-02 23:11:20,628 - mmcls - INFO - loss1 0.7153189182281494 ; loss2 0.6601665019989014
2023-02-02 23:11:22,833 - mmcls - INFO - [059/075] Training session : 3 ; lr : 0.017276302932728672 ; loss : 0.3804644048213959 ; acc@1 : 62.5
2023-02-02 23:11:22,833 - mmcls - INFO - loss1 0.38504499197006226 ; loss2 0.3758838176727295
2023-02-02 23:11:24,937 - mmcls - INFO - [060/075] Training session : 3 ; lr : 0.014755102597075645 ; loss : 0.32043278217315674 ; acc@1 : 50.0
2023-02-02 23:11:24,937 - mmcls - INFO - loss1 0.31996142864227295 ; loss2 0.3209041357040405
2023-02-02 23:11:27,767 - mmcls - INFO - [061/075] Training session : 3 ; lr : 0.012458438146757992 ; loss : 0.20217165350914001 ; acc@1 : 87.5
2023-02-02 23:11:27,767 - mmcls - INFO - loss1 0.21973349153995514 ; loss2 0.1846098154783249
2023-02-02 23:11:30,518 - mmcls - INFO - [062/075] Training session : 3 ; lr : 0.010390934758332521 ; loss : 0.5512816905975342 ; acc@1 : 50.0
2023-02-02 23:11:30,518 - mmcls - INFO - loss1 0.5296010971069336 ; loss2 0.5729622840881348
2023-02-02 23:11:32,226 - mmcls - INFO - [063/075] Training session : 3 ; lr : 0.00855675610847475 ; loss : 0.5780348777770996 ; acc@1 : 62.5
2023-02-02 23:11:32,227 - mmcls - INFO - loss1 0.5523004531860352 ; loss2 0.6037693023681641
2023-02-02 23:11:35,337 - mmcls - INFO - [064/075] Training session : 3 ; lr : 0.006959595988888161 ; loss : 0.5179036855697632 ; acc@1 : 50.0
2023-02-02 23:11:35,337 - mmcls - INFO - loss1 0.559410035610199 ; loss2 0.47639739513397217
2023-02-02 23:11:37,738 - mmcls - INFO - [065/075] Training session : 3 ; lr : 0.005602670867499327 ; loss : 0.3474915027618408 ; acc@1 : 62.5
2023-02-02 23:11:37,739 - mmcls - INFO - loss1 0.30812862515449524 ; loss2 0.386854350566864
2023-02-02 23:11:40,475 - mmcls - INFO - [066/075] Training session : 3 ; lr : 0.004488713410919579 ; loss : 0.45533066987991333 ; acc@1 : 75.0
2023-02-02 23:11:40,475 - mmcls - INFO - loss1 0.39228111505508423 ; loss2 0.5183802247047424
2023-02-02 23:11:42,189 - mmcls - INFO - [067/075] Training session : 3 ; lr : 0.003619966981218081 ; loss : 0.015636363998055458 ; acc@1 : 100.0
2023-02-02 23:11:44,919 - mmcls - INFO - [068/075] Training session : 3 ; lr : 0.002998181118089165 ; loss : 0.3987058401107788 ; acc@1 : 37.5
2023-02-02 23:11:44,919 - mmcls - INFO - loss1 0.41342198848724365 ; loss2 0.38398969173431396
2023-02-02 23:11:46,774 - mmcls - INFO - [069/075] Training session : 3 ; lr : 0.00262460801551232 ; loss : 0.40934455394744873 ; acc@1 : 37.5
2023-02-02 23:11:46,774 - mmcls - INFO - loss1 0.45899924635887146 ; loss2 0.359689861536026
2023-02-02 23:11:49,413 - mmcls - INFO - [070/075] Training session : 3 ; lr : 0.0025 ; loss : 0.41235533356666565 ; acc@1 : 62.5
2023-02-02 23:11:49,413 - mmcls - INFO - loss1 0.4448532462120056 ; loss2 0.3798574209213257
2023-02-02 23:11:51,793 - mmcls - INFO - [071/075] Training session : 3 ; lr : 0.00025 ; loss : 0.49925005435943604 ; acc@1 : 37.5
2023-02-02 23:11:51,794 - mmcls - INFO - loss1 0.5027903318405151 ; loss2 0.4957098066806793
2023-02-02 23:11:53,907 - mmcls - INFO - [072/075] Training session : 3 ; lr : 0.00025 ; loss : 0.6328768730163574 ; acc@1 : 50.0
2023-02-02 23:11:53,907 - mmcls - INFO - loss1 0.6242859959602356 ; loss2 0.6414676904678345
2023-02-02 23:11:55,801 - mmcls - INFO - [073/075] Training session : 3 ; lr : 0.00025 ; loss : 0.266803503036499 ; acc@1 : 62.5
2023-02-02 23:11:55,802 - mmcls - INFO - loss1 0.23358789086341858 ; loss2 0.30001911520957947
2023-02-02 23:11:58,174 - mmcls - INFO - [074/075] Training session : 3 ; lr : 0.00025 ; loss : 0.4010446071624756 ; acc@1 : 62.5
2023-02-02 23:11:58,175 - mmcls - INFO - loss1 0.4159119129180908 ; loss2 0.38617730140686035
2023-02-02 23:12:00,872 - mmcls - INFO - [075/075] Training session : 3 ; lr : 0.00025 ; loss : 0.4070807099342346 ; acc@1 : 62.5
2023-02-02 23:12:00,872 - mmcls - INFO - loss1 0.3768962621688843 ; loss2 0.43726518750190735
2023-02-02 23:12:00,872 - mmcls - INFO - Evaluating session 3, from 0 to 70.
2023-02-02 23:12:03,429 - mmcls - INFO - [03]Evaluation results : acc : 73.34 ; acc_base : 78.63 ; acc_inc : 41.60
2023-02-02 23:12:03,429 - mmcls - INFO - [03]Evaluation results : acc_incremental_old : 38.20 ; acc_incremental_new : 45.00
2023-02-02 23:12:03,491 - mmcls - INFO - Starting session : 4 ------------------------------------------------------------
2023-02-02 23:12:03,492 - mmcls - INFO - Newly added classes are from 70 to 75.
2023-02-02 23:12:03,492 - mmcls - INFO - Model now can classify 75 classes
2023-02-02 23:12:03,492 - mmcls - INFO - 100 steps
2023-02-02 23:12:03,492 - mmcls - INFO - Extracting mean neck feat from 60 to 70
2023-02-02 23:12:03,492 - mmcls - INFO - Copy 1 duplications.
2023-02-02 23:12:03,494 - mmcls - INFO - Session : 4 ; The dataset has 95 samples.
2023-02-02 23:12:03,494 - mmcls - INFO - Labels : [70, 70, 70, 70, 70, 71, 71, 71, 71, 71, 72, 72, 72, 72, 72, 73, 73, 73, 73, 73, 74, 74, 74, 74, 74, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 19, 39, 8, 49, 47, 53, 35, 11, 29, 28, 31, 21, 25, 48, 2, 44, 5, 57, 23, 51, 4, 26, 22, 34, 40, 27, 33, 1, 45, 37, 32, 54, 43, 3, 56, 24, 15, 42, 13, 7, 36, 41, 18, 12, 38, 52, 9, 50, 58, 16, 6, 10, 14, 20, 55, 17, 30, 59, 0, 46]
2023-02-02 23:12:05,957 - mmcls - INFO - [001/100] Training session : 4 ; lr : 0.06998105536686307 ; loss : 1.0553231239318848 ; acc@1 : 50.0
2023-02-02 23:12:05,957 - mmcls - INFO - loss1 1.1553107500076294 ; loss2 0.9553356170654297
2023-02-02 23:12:08,321 - mmcls - INFO - [002/100] Training session : 4 ; lr : 0.11487554072942872 ; loss : 0.9620859026908875 ; acc@1 : 50.0
2023-02-02 23:12:08,321 - mmcls - INFO - loss1 1.0296242237091064 ; loss2 0.8945475816726685
2023-02-02 23:12:10,387 - mmcls - INFO - [003/100] Training session : 4 ; lr : 0.1596105658815649 ; loss : 0.6664161682128906 ; acc@1 : 62.5
2023-02-02 23:12:10,387 - mmcls - INFO - loss1 0.5416802167892456 ; loss2 0.7911521196365356
2023-02-02 23:12:13,100 - mmcls - INFO - [004/100] Training session : 4 ; lr : 0.20411352143495484 ; loss : 0.7834349870681763 ; acc@1 : 62.5
2023-02-02 23:12:13,100 - mmcls - INFO - loss1 0.7280791997909546 ; loss2 0.8387908339500427
2023-02-02 23:12:15,612 - mmcls - INFO - [005/100] Training session : 4 ; lr : 0.24831221129608688 ; loss : 0.660635769367218 ; acc@1 : 62.5
2023-02-02 23:12:18,035 - mmcls - INFO - [006/100] Training session : 4 ; lr : 0.24757202077700766 ; loss : 0.7627989649772644 ; acc@1 : 75.0
2023-02-02 23:12:18,036 - mmcls - INFO - loss1 0.6548933982849121 ; loss2 0.8707045316696167
2023-02-02 23:12:20,025 - mmcls - INFO - [007/100] Training session : 4 ; lr : 0.24669916640944073 ; loss : 0.7474464178085327 ; acc@1 : 62.5
2023-02-02 23:12:20,051 - mmcls - INFO - loss1 0.7749956846237183 ; loss2 0.7198972105979919
2023-02-02 23:12:22,282 - mmcls - INFO - [008/100] Training session : 4 ; lr : 0.24569460264682189 ; loss : 0.12105024605989456 ; acc@1 : 87.5
2023-02-02 23:12:24,448 - mmcls - INFO - [009/100] Training session : 4 ; lr : 0.24455942796487676 ; loss : 0.8984800577163696 ; acc@1 : 50.0
2023-02-02 23:12:24,449 - mmcls - INFO - loss1 0.8843438625335693 ; loss2 0.9126162528991699
2023-02-02 23:12:27,680 - mmcls - INFO - [010/100] Training session : 4 ; lr : 0.24329488366045351 ; loss : 0.8783274292945862 ; acc@1 : 62.5
2023-02-02 23:12:27,681 - mmcls - INFO - loss1 0.9134173393249512 ; loss2 0.8432375192642212
2023-02-02 23:12:29,637 - mmcls - INFO - [011/100] Training session : 4 ; lr : 0.2419023524941833 ; loss : 0.1902085542678833 ; acc@1 : 100.0
2023-02-02 23:12:32,071 - mmcls - INFO - [012/100] Training session : 4 ; lr : 0.24038335717845136 ; loss : 0.7311080694198608 ; acc@1 : 50.0
2023-02-02 23:12:32,071 - mmcls - INFO - loss1 0.7779096364974976 ; loss2 0.6843065023422241
2023-02-02 23:12:34,287 - mmcls - INFO - [013/100] Training session : 4 ; lr : 0.23873955871233385 ; loss : 0.6295555830001831 ; acc@1 : 62.5
2023-02-02 23:12:34,288 - mmcls - INFO - loss1 0.6659834980964661 ; loss2 0.5931276082992554
2023-02-02 23:12:37,093 - mmcls - INFO - [014/100] Training session : 4 ; lr : 0.2369727545653195 ; loss : 0.7523077726364136 ; acc@1 : 50.0
2023-02-02 23:12:37,110 - mmcls - INFO - loss1 0.7523077726364136 ; loss2 0.7523077726364136
2023-02-02 23:12:39,118 - mmcls - INFO - [015/100] Training session : 4 ; lr : 0.235084876711803 ; loss : 1.0518927574157715 ; acc@1 : 37.5
2023-02-02 23:12:39,118 - mmcls - INFO - loss1 1.0644447803497314 ; loss2 1.0393407344818115
2023-02-02 23:12:41,367 - mmcls - INFO - [016/100] Training session : 4 ; lr : 0.23307798951849978 ; loss : 0.7666866779327393 ; acc@1 : 37.5
2023-02-02 23:12:41,368 - mmcls - INFO - loss1 0.7265071868896484 ; loss2 0.8068661689758301
2023-02-02 23:12:43,938 - mmcls - INFO - [017/100] Training session : 4 ; lr : 0.23095428748709074 ; loss : 0.682404637336731 ; acc@1 : 62.5
2023-02-02 23:12:43,938 - mmcls - INFO - loss1 0.6513487696647644 ; loss2 0.7134604454040527
2023-02-02 23:12:46,412 - mmcls - INFO - [018/100] Training session : 4 ; lr : 0.22871609285456748 ; loss : 0.5872051119804382 ; acc@1 : 75.0
2023-02-02 23:12:46,413 - mmcls - INFO - loss1 0.5882687568664551 ; loss2 0.5861414670944214
2023-02-02 23:12:48,577 - mmcls - INFO - [019/100] Training session : 4 ; lr : 0.22636585305389975 ; loss : 0.018373016268014908 ; acc@1 : 100.0
2023-02-02 23:12:50,789 - mmcls - INFO - [020/100] Training session : 4 ; lr : 0.2239061380378037 ; loss : 0.09155905246734619 ; acc@1 : 100.0
2023-02-02 23:12:53,748 - mmcls - INFO - [021/100] Training session : 4 ; lr : 0.22133963746853633 ; loss : 0.6125741004943848 ; acc@1 : 75.0
2023-02-02 23:12:53,748 - mmcls - INFO - loss1 0.6083181500434875 ; loss2 0.6168299913406372
2023-02-02 23:12:56,303 - mmcls - INFO - [022/100] Training session : 4 ; lr : 0.21866915777678905 ; loss : 0.7677507400512695 ; acc@1 : 37.5
2023-02-02 23:12:56,303 - mmcls - INFO - loss1 0.758681058883667 ; loss2 0.7768204808235168
2023-02-02 23:12:58,425 - mmcls - INFO - [023/100] Training session : 4 ; lr : 0.21589761909289729 ; loss : 0.570185661315918 ; acc@1 : 75.0
2023-02-02 23:12:58,426 - mmcls - INFO - loss1 0.48156046867370605 ; loss2 0.6588107943534851
2023-02-02 23:13:01,588 - mmcls - INFO - [024/100] Training session : 4 ; lr : 0.21302805205372044 ; loss : 0.4706031382083893 ; acc@1 : 62.5
2023-02-02 23:13:01,589 - mmcls - INFO - loss1 0.43012869358062744 ; loss2 0.5110775828361511
2023-02-02 23:13:03,987 - mmcls - INFO - [025/100] Training session : 4 ; lr : 0.21006359448868547 ; loss : 0.39161330461502075 ; acc@1 : 62.5
2023-02-02 23:13:03,987 - mmcls - INFO - loss1 0.3767927885055542 ; loss2 0.4064337909221649
2023-02-02 23:13:06,371 - mmcls - INFO - [026/100] Training session : 4 ; lr : 0.20700748798861587 ; loss : 0.48341721296310425 ; acc@1 : 75.0
2023-02-02 23:13:06,371 - mmcls - INFO - loss1 0.4524296820163727 ; loss2 0.5144047141075134
2023-02-02 23:13:08,834 - mmcls - INFO - [027/100] Training session : 4 ; lr : 0.2038630743611002 ; loss : 0.5486017465591431 ; acc@1 : 62.5
2023-02-02 23:13:08,834 - mmcls - INFO - loss1 0.5356537699699402 ; loss2 0.5615496635437012
2023-02-02 23:13:11,278 - mmcls - INFO - [028/100] Training session : 4 ; lr : 0.20063379197627434 ; loss : 0.7057878971099854 ; acc@1 : 62.5
2023-02-02 23:13:11,278 - mmcls - INFO - loss1 0.6998840570449829 ; loss2 0.711691677570343
2023-02-02 23:13:13,221 - mmcls - INFO - [029/100] Training session : 4 ; lr : 0.19732317200701427 ; loss : 0.764385461807251 ; acc@1 : 50.0
2023-02-02 23:13:13,221 - mmcls - INFO - loss1 0.7847908139228821 ; loss2 0.7439800500869751
2023-02-02 23:13:15,446 - mmcls - INFO - [030/100] Training session : 4 ; lr : 0.19393483456765037 ; loss : 0.4769008159637451 ; acc@1 : 62.5
2023-02-02 23:13:15,446 - mmcls - INFO - loss1 0.4395669400691986 ; loss2 0.5142346620559692
2023-02-02 23:13:17,573 - mmcls - INFO - [031/100] Training session : 4 ; lr : 0.1904724847554254 ; loss : 0.5735228061676025 ; acc@1 : 50.0
2023-02-02 23:13:17,574 - mmcls - INFO - loss1 0.5778963565826416 ; loss2 0.5691493153572083
2023-02-02 23:13:20,001 - mmcls - INFO - [032/100] Training session : 4 ; lr : 0.1869399085990254 ; loss : 0.03298862278461456 ; acc@1 : 100.0
2023-02-02 23:13:22,430 - mmcls - INFO - [033/100] Training session : 4 ; lr : 0.18334096891861262 ; loss : 0.37628647685050964 ; acc@1 : 87.5
2023-02-02 23:13:22,431 - mmcls - INFO - loss1 0.3144376873970032 ; loss2 0.4381352663040161
2023-02-02 23:13:24,314 - mmcls - INFO - [034/100] Training session : 4 ; lr : 0.1796796011018885 ; loss : 0.023266838863492012 ; acc@1 : 100.0
2023-02-02 23:13:26,625 - mmcls - INFO - [035/100] Training session : 4 ; lr : 0.175959808800805 ; loss : 0.05865324288606644 ; acc@1 : 87.5
2023-02-02 23:13:29,093 - mmcls - INFO - [036/100] Training session : 4 ; lr : 0.1721856595536298 ; loss : 0.47870317101478577 ; acc@1 : 62.5
2023-02-02 23:13:29,093 - mmcls - INFO - loss1 0.4834267795085907 ; loss2 0.47397956252098083
2023-02-02 23:13:31,169 - mmcls - INFO - [037/100] Training session : 4 ; lr : 0.16836128033715334 ; loss : 0.6247758269309998 ; acc@1 : 37.5
2023-02-02 23:13:31,170 - mmcls - INFO - loss1 0.6164805889129639 ; loss2 0.6330710649490356
2023-02-02 23:13:33,582 - mmcls - INFO - [038/100] Training session : 4 ; lr : 0.16449085305389974 ; loss : 0.03332633897662163 ; acc@1 : 100.0
2023-02-02 23:13:35,639 - mmcls - INFO - [039/100] Training session : 4 ; lr : 0.16057860995927828 ; loss : 0.636064887046814 ; acc@1 : 62.5
2023-02-02 23:13:35,640 - mmcls - INFO - loss1 0.6078593134880066 ; loss2 0.6642704010009766
2023-02-02 23:13:37,574 - mmcls - INFO - [040/100] Training session : 4 ; lr : 0.1566288290336739 ; loss : 0.48492008447647095 ; acc@1 : 62.5
2023-02-02 23:13:37,574 - mmcls - INFO - loss1 0.4780614972114563 ; loss2 0.491778701543808
2023-02-02 23:13:39,667 - mmcls - INFO - [041/100] Training session : 4 ; lr : 0.15264582930453868 ; loss : 0.4755406379699707 ; acc@1 : 75.0
2023-02-02 23:13:39,667 - mmcls - INFO - loss1 0.5080524682998657 ; loss2 0.4430287778377533
2023-02-02 23:13:41,827 - mmcls - INFO - [042/100] Training session : 4 ; lr : 0.1486339661235986 ; loss : 0.37431401014328003 ; acc@1 : 50.0
2023-02-02 23:13:41,828 - mmcls - INFO - loss1 0.36594268679618835 ; loss2 0.3826853632926941
2023-02-02 23:13:44,080 - mmcls - INFO - [043/100] Training session : 4 ; lr : 0.14459762640434046 ; loss : 0.03163149207830429 ; acc@1 : 100.0
2023-02-02 23:13:46,609 - mmcls - INFO - [044/100] Training session : 4 ; lr : 0.14054122382498632 ; loss : 0.4562864303588867 ; acc@1 : 75.0
2023-02-02 23:13:46,609 - mmcls - INFO - loss1 0.4717734754085541 ; loss2 0.44079941511154175
2023-02-02 23:13:49,462 - mmcls - INFO - [045/100] Training session : 4 ; lr : 0.13646919400220114 ; loss : 0.02697611227631569 ; acc@1 : 100.0
2023-02-02 23:13:51,819 - mmcls - INFO - [046/100] Training session : 4 ; lr : 0.13238598964081125 ; loss : 0.40719079971313477 ; acc@1 : 75.0
2023-02-02 23:13:51,820 - mmcls - INFO - loss1 0.4166790843009949 ; loss2 0.39770251512527466
2023-02-02 23:13:54,031 - mmcls - INFO - [047/100] Training session : 4 ; lr : 0.1282960756648369 ; loss : 0.3698475956916809 ; acc@1 : 87.5
2023-02-02 23:13:54,032 - mmcls - INFO - loss1 0.35351842641830444 ; loss2 0.386176735162735
2023-02-02 23:13:56,997 - mmcls - INFO - [048/100] Training session : 4 ; lr : 0.12420392433516314 ; loss : 0.6389864683151245 ; acc@1 : 62.5
2023-02-02 23:13:56,998 - mmcls - INFO - loss1 0.6369017362594604 ; loss2 0.6410711407661438
2023-02-02 23:13:59,094 - mmcls - INFO - [049/100] Training session : 4 ; lr : 0.12011401035918873 ; loss : 0.5166206955909729 ; acc@1 : 50.0
2023-02-02 23:13:59,095 - mmcls - INFO - loss1 0.5857226252555847 ; loss2 0.4475187659263611
2023-02-02 23:14:01,338 - mmcls - INFO - [050/100] Training session : 4 ; lr : 0.11603080599779889 ; loss : 0.6065977811813354 ; acc@1 : 62.5
2023-02-02 23:14:01,338 - mmcls - INFO - loss1 0.5757222175598145 ; loss2 0.6374733448028564
2023-02-02 23:14:03,924 - mmcls - INFO - [051/100] Training session : 4 ; lr : 0.11195877617501372 ; loss : 0.02766471728682518 ; acc@1 : 100.0
2023-02-02 23:14:06,047 - mmcls - INFO - [052/100] Training session : 4 ; lr : 0.10790237359565955 ; loss : 0.715430736541748 ; acc@1 : 62.5
2023-02-02 23:14:06,047 - mmcls - INFO - loss1 0.6914629936218262 ; loss2 0.7393984794616699
2023-02-02 23:14:08,196 - mmcls - INFO - [053/100] Training session : 4 ; lr : 0.10386603387640143 ; loss : 0.5445116758346558 ; acc@1 : 37.5
2023-02-02 23:14:08,196 - mmcls - INFO - loss1 0.5482929348945618 ; loss2 0.540730357170105
2023-02-02 23:14:10,417 - mmcls - INFO - [054/100] Training session : 4 ; lr : 0.09985417069546135 ; loss : 0.4067060351371765 ; acc@1 : 37.5
2023-02-02 23:14:10,417 - mmcls - INFO - loss1 0.4322362542152405 ; loss2 0.38117584586143494
2023-02-02 23:14:12,555 - mmcls - INFO - [055/100] Training session : 4 ; lr : 0.09587117096632611 ; loss : 0.00346433836966753 ; acc@1 : 100.0
2023-02-02 23:14:14,931 - mmcls - INFO - [056/100] Training session : 4 ; lr : 0.09192139004072176 ; loss : 0.5159820914268494 ; acc@1 : 50.0
2023-02-02 23:14:14,932 - mmcls - INFO - loss1 0.5425661206245422 ; loss2 0.4893980622291565
2023-02-02 23:14:17,378 - mmcls - INFO - [057/100] Training session : 4 ; lr : 0.08800914694610026 ; loss : 0.3874186873435974 ; acc@1 : 50.0
2023-02-02 23:14:17,378 - mmcls - INFO - loss1 0.39934492111206055 ; loss2 0.3754924237728119
2023-02-02 23:14:19,777 - mmcls - INFO - [058/100] Training session : 4 ; lr : 0.08413871966284667 ; loss : 0.35843712091445923 ; acc@1 : 62.5
2023-02-02 23:14:19,777 - mmcls - INFO - loss1 0.3510616719722748 ; loss2 0.3658125400543213
2023-02-02 23:14:21,732 - mmcls - INFO - [059/100] Training session : 4 ; lr : 0.08031434044637016 ; loss : 0.004632748197764158 ; acc@1 : 100.0
2023-02-02 23:14:24,203 - mmcls - INFO - [060/100] Training session : 4 ; lr : 0.07654019119919506 ; loss : 0.4963928163051605 ; acc@1 : 62.5
2023-02-02 23:14:24,203 - mmcls - INFO - loss1 0.4388958215713501 ; loss2 0.553889811038971
2023-02-02 23:14:26,521 - mmcls - INFO - [061/100] Training session : 4 ; lr : 0.07282039889811152 ; loss : 0.018901731818914413 ; acc@1 : 100.0
2023-02-02 23:14:28,723 - mmcls - INFO - [062/100] Training session : 4 ; lr : 0.0691590310813874 ; loss : 0.4270625710487366 ; acc@1 : 62.5
2023-02-02 23:14:28,724 - mmcls - INFO - loss1 0.46823376417160034 ; loss2 0.3858913779258728
2023-02-02 23:14:31,024 - mmcls - INFO - [063/100] Training session : 4 ; lr : 0.06556009140097466 ; loss : 0.007654491346329451 ; acc@1 : 100.0
2023-02-02 23:14:33,886 - mmcls - INFO - [064/100] Training session : 4 ; lr : 0.06202751524457466 ; loss : 0.42174702882766724 ; acc@1 : 62.5
2023-02-02 23:14:33,887 - mmcls - INFO - loss1 0.4417973756790161 ; loss2 0.40169671177864075
2023-02-02 23:14:36,545 - mmcls - INFO - [065/100] Training session : 4 ; lr : 0.0585651654323497 ; loss : 0.0026936151552945375 ; acc@1 : 100.0
2023-02-02 23:14:38,970 - mmcls - INFO - [066/100] Training session : 4 ; lr : 0.05517682799298573 ; loss : 0.00526199396699667 ; acc@1 : 100.0
2023-02-02 23:14:41,165 - mmcls - INFO - [067/100] Training session : 4 ; lr : 0.05186620802372565 ; loss : 0.00624112319201231 ; acc@1 : 100.0
2023-02-02 23:14:43,333 - mmcls - INFO - [068/100] Training session : 4 ; lr : 0.04863692563889979 ; loss : 0.3585634231567383 ; acc@1 : 50.0
2023-02-02 23:14:43,333 - mmcls - INFO - loss1 0.30929264426231384 ; loss2 0.40783417224884033
2023-02-02 23:14:45,875 - mmcls - INFO - [069/100] Training session : 4 ; lr : 0.04549251201138413 ; loss : 0.45866090059280396 ; acc@1 : 62.5
2023-02-02 23:14:45,875 - mmcls - INFO - loss1 0.43517524003982544 ; loss2 0.48214659094810486
2023-02-02 23:14:48,022 - mmcls - INFO - [070/100] Training session : 4 ; lr : 0.04243640551131457 ; loss : 0.46405625343322754 ; acc@1 : 62.5
2023-02-02 23:14:48,022 - mmcls - INFO - loss1 0.44734981656074524 ; loss2 0.48076266050338745
2023-02-02 23:14:50,289 - mmcls - INFO - [071/100] Training session : 4 ; lr : 0.03947194794627954 ; loss : 0.435598224401474 ; acc@1 : 62.5
2023-02-02 23:14:50,289 - mmcls - INFO - loss1 0.4076880216598511 ; loss2 0.4635084271430969
2023-02-02 23:14:52,405 - mmcls - INFO - [072/100] Training session : 4 ; lr : 0.036602380907102744 ; loss : 0.00357016921043396 ; acc@1 : 100.0
2023-02-02 23:14:54,809 - mmcls - INFO - [073/100] Training session : 4 ; lr : 0.033830842223211 ; loss : 0.3637552559375763 ; acc@1 : 50.0
2023-02-02 23:14:54,809 - mmcls - INFO - loss1 0.3967466354370117 ; loss2 0.33076387643814087
2023-02-02 23:14:56,883 - mmcls - INFO - [074/100] Training session : 4 ; lr : 0.03116036253146372 ; loss : 0.20742222666740417 ; acc@1 : 62.5
2023-02-02 23:14:56,884 - mmcls - INFO - loss1 0.23886236548423767 ; loss2 0.17598208785057068
2023-02-02 23:14:59,600 - mmcls - INFO - [075/100] Training session : 4 ; lr : 0.028593861962196307 ; loss : 0.4619177579879761 ; acc@1 : 37.5
2023-02-02 23:14:59,600 - mmcls - INFO - loss1 0.4674820601940155 ; loss2 0.45635342597961426
2023-02-02 23:15:01,562 - mmcls - INFO - [076/100] Training session : 4 ; lr : 0.026134146946100265 ; loss : 0.32228511571884155 ; acc@1 : 50.0
2023-02-02 23:15:01,563 - mmcls - INFO - loss1 0.328191876411438 ; loss2 0.3163783550262451
2023-02-02 23:15:03,757 - mmcls - INFO - [077/100] Training session : 4 ; lr : 0.02378390714543252 ; loss : 0.2809333801269531 ; acc@1 : 75.0
2023-02-02 23:15:03,757 - mmcls - INFO - loss1 0.2988365590572357 ; loss2 0.26303020119667053
2023-02-02 23:15:06,089 - mmcls - INFO - [078/100] Training session : 4 ; lr : 0.021545712512909227 ; loss : 0.45733070373535156 ; acc@1 : 62.5
2023-02-02 23:15:06,089 - mmcls - INFO - loss1 0.48093974590301514 ; loss2 0.4337216913700104
2023-02-02 23:15:08,037 - mmcls - INFO - [079/100] Training session : 4 ; lr : 0.01942201048150023 ; loss : 0.5928068161010742 ; acc@1 : 62.5
2023-02-02 23:15:08,038 - mmcls - INFO - loss1 0.6113334894180298 ; loss2 0.5742801427841187
2023-02-02 23:15:10,040 - mmcls - INFO - [080/100] Training session : 4 ; lr : 0.01741512328819699 ; loss : 0.003088621888309717 ; acc@1 : 100.0
2023-02-02 23:15:12,218 - mmcls - INFO - [081/100] Training session : 4 ; lr : 0.015527245434680521 ; loss : 0.45141860842704773 ; acc@1 : 50.0
2023-02-02 23:15:12,218 - mmcls - INFO - loss1 0.431070476770401 ; loss2 0.47176674008369446
2023-02-02 23:15:14,984 - mmcls - INFO - [082/100] Training session : 4 ; lr : 0.01376044128766614 ; loss : 0.3255006670951843 ; acc@1 : 50.0
2023-02-02 23:15:14,985 - mmcls - INFO - loss1 0.35126620531082153 ; loss2 0.2997351288795471
2023-02-02 23:15:16,946 - mmcls - INFO - [083/100] Training session : 4 ; lr : 0.012116642821548639 ; loss : 0.0014425022527575493 ; acc@1 : 100.0
2023-02-02 23:15:19,904 - mmcls - INFO - [084/100] Training session : 4 ; lr : 0.010597647505816734 ; loss : 0.4084162712097168 ; acc@1 : 50.0
2023-02-02 23:15:19,905 - mmcls - INFO - loss1 0.39441609382629395 ; loss2 0.42241647839546204
2023-02-02 23:15:22,222 - mmcls - INFO - [085/100] Training session : 4 ; lr : 0.009205116339546463 ; loss : 0.018057141453027725 ; acc@1 : 100.0
2023-02-02 23:15:25,098 - mmcls - INFO - [086/100] Training session : 4 ; lr : 0.007940572035123241 ; loss : 0.4127700924873352 ; acc@1 : 50.0
2023-02-02 23:15:25,099 - mmcls - INFO - loss1 0.4091518521308899 ; loss2 0.4163883626461029
2023-02-02 23:15:26,985 - mmcls - INFO - [087/100] Training session : 4 ; lr : 0.006805397353178115 ; loss : 0.26487094163894653 ; acc@1 : 62.5
2023-02-02 23:15:26,987 - mmcls - INFO - loss1 0.2693459391593933 ; loss2 0.26039594411849976
2023-02-02 23:15:29,904 - mmcls - INFO - [088/100] Training session : 4 ; lr : 0.005800833590559289 ; loss : 0.35831722617149353 ; acc@1 : 37.5
2023-02-02 23:15:29,904 - mmcls - INFO - loss1 0.37254366278648376 ; loss2 0.3440907895565033
2023-02-02 23:15:31,748 - mmcls - INFO - [089/100] Training session : 4 ; lr : 0.004927979222992342 ; loss : 0.0033073078375309706 ; acc@1 : 100.0
2023-02-02 23:15:34,014 - mmcls - INFO - [090/100] Training session : 4 ; lr : 0.004187788703913113 ; loss : 0.4314884841442108 ; acc@1 : 62.5
2023-02-02 23:15:34,015 - mmcls - INFO - loss1 0.4476228952407837 ; loss2 0.41535407304763794
2023-02-02 23:15:36,296 - mmcls - INFO - [091/100] Training session : 4 ; lr : 0.00358107142078682 ; loss : 0.006149556487798691 ; acc@1 : 100.0
2023-02-02 23:15:38,591 - mmcls - INFO - [092/100] Training session : 4 ; lr : 0.0031084908100548372 ; loss : 0.5111888647079468 ; acc@1 : 62.5
2023-02-02 23:15:38,592 - mmcls - INFO - loss1 0.49037885665893555 ; loss2 0.531998872756958
2023-02-02 23:15:41,209 - mmcls - INFO - [093/100] Training session : 4 ; lr : 0.0027705636316766513 ; loss : 0.003618750488385558 ; acc@1 : 100.0
2023-02-02 23:15:43,293 - mmcls - INFO - [094/100] Training session : 4 ; lr : 0.0025676594040604014 ; loss : 0.001479735248722136 ; acc@1 : 100.0
2023-02-02 23:15:45,357 - mmcls - INFO - [095/100] Training session : 4 ; lr : 0.0025 ; loss : 0.27697110176086426 ; acc@1 : 62.5
2023-02-02 23:15:45,357 - mmcls - INFO - loss1 0.2736251950263977 ; loss2 0.2803169786930084
2023-02-02 23:15:47,838 - mmcls - INFO - [096/100] Training session : 4 ; lr : 0.00025 ; loss : 0.43566370010375977 ; acc@1 : 50.0
2023-02-02 23:15:47,838 - mmcls - INFO - loss1 0.40983036160469055 ; loss2 0.46149706840515137
2023-02-02 23:15:50,000 - mmcls - INFO - [097/100] Training session : 4 ; lr : 0.00025 ; loss : 0.003845619736239314 ; acc@1 : 100.0
2023-02-02 23:15:52,316 - mmcls - INFO - [098/100] Training session : 4 ; lr : 0.00025 ; loss : 0.46240484714508057 ; acc@1 : 50.0
2023-02-02 23:15:52,316 - mmcls - INFO - loss1 0.45875078439712524 ; loss2 0.4660589098930359
2023-02-02 23:15:54,006 - mmcls - INFO - [099/100] Training session : 4 ; lr : 0.00025 ; loss : 0.48358702659606934 ; acc@1 : 50.0
2023-02-02 23:15:54,007 - mmcls - INFO - loss1 0.510404109954834 ; loss2 0.4567699134349823
2023-02-02 23:15:56,251 - mmcls - INFO - [100/100] Training session : 4 ; lr : 0.00025 ; loss : 0.003060699673369527 ; acc@1 : 100.0
2023-02-02 23:15:56,252 - mmcls - INFO - Evaluating session 4, from 0 to 75.
2023-02-02 23:15:58,790 - mmcls - INFO - [04]Evaluation results : acc : 69.68 ; acc_base : 77.98 ; acc_inc : 36.47
2023-02-02 23:15:58,791 - mmcls - INFO - [04]Evaluation results : acc_incremental_old : 38.20 ; acc_incremental_new : 33.00
2023-02-02 23:15:58,892 - mmcls - INFO - Starting session : 5 ------------------------------------------------------------
2023-02-02 23:15:58,892 - mmcls - INFO - Newly added classes are from 75 to 80.
2023-02-02 23:15:58,892 - mmcls - INFO - Model now can classify 80 classes
2023-02-02 23:15:58,892 - mmcls - INFO - 120 steps
2023-02-02 23:15:58,892 - mmcls - INFO - Extracting mean neck feat from 60 to 75
2023-02-02 23:15:58,892 - mmcls - INFO - Copy 1 duplications.
2023-02-02 23:15:58,896 - mmcls - INFO - Session : 5 ; The dataset has 100 samples.
2023-02-02 23:15:58,896 - mmcls - INFO - Labels : [75, 75, 75, 75, 75, 76, 76, 76, 76, 76, 77, 77, 77, 77, 77, 78, 78, 78, 78, 78, 79, 79, 79, 79, 79, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 19, 39, 8, 49, 47, 53, 35, 11, 29, 28, 31, 21, 25, 48, 2, 44, 5, 57, 23, 51, 4, 26, 22, 34, 40, 27, 33, 1, 45, 37, 32, 54, 43, 3, 56, 24, 15, 42, 13, 7, 36, 41, 18, 12, 38, 52, 9, 50, 58, 16, 6, 10, 14, 20, 55, 17, 30, 59, 0, 46]
2023-02-02 23:16:01,015 - mmcls - INFO - [001/120] Training session : 5 ; lr : 0.06998707143572518 ; loss : 0.8787952661514282 ; acc@1 : 62.5
2023-02-02 23:16:01,015 - mmcls - INFO - loss1 0.7401878237724304 ; loss2 1.0174026489257812
2023-02-02 23:16:03,674 - mmcls - INFO - [002/120] Training session : 5 ; lr : 0.11491505671325997 ; loss : 0.8102811574935913 ; acc@1 : 50.0
2023-02-02 23:16:03,674 - mmcls - INFO - loss1 0.8582642078399658 ; loss2 0.762298047542572
2023-02-02 23:16:06,203 - mmcls - INFO - [003/120] Training session : 5 ; lr : 0.15973417325943393 ; loss : 0.47216758131980896 ; acc@1 : 75.0
2023-02-02 23:16:08,539 - mmcls - INFO - [004/120] Training session : 5 ; lr : 0.20439476933238787 ; loss : 0.6775172352790833 ; acc@1 : 37.5
2023-02-02 23:16:08,539 - mmcls - INFO - loss1 0.721993088722229 ; loss2 0.6330413818359375
2023-02-02 23:16:11,019 - mmcls - INFO - [005/120] Training session : 5 ; lr : 0.24884738582199592 ; loss : 0.7170656323432922 ; acc@1 : 50.0
2023-02-02 23:16:11,020 - mmcls - INFO - loss1 0.7143353819847107 ; loss2 0.7197958827018738
2023-02-02 23:16:13,231 - mmcls - INFO - [006/120] Training session : 5 ; lr : 0.24834137106022475 ; loss : 0.8146426677703857 ; acc@1 : 37.5
2023-02-02 23:16:13,231 - mmcls - INFO - loss1 0.8040115237236023 ; loss2 0.825273871421814
2023-02-02 23:16:15,528 - mmcls - INFO - [007/120] Training session : 5 ; lr : 0.24774424714185037 ; loss : 0.6062459945678711 ; acc@1 : 50.0
2023-02-02 23:16:15,529 - mmcls - INFO - loss1 0.6019378900527954 ; loss2 0.6105541586875916
2023-02-02 23:16:17,666 - mmcls - INFO - [008/120] Training session : 5 ; lr : 0.24705645966311865 ; loss : 0.9502521753311157 ; acc@1 : 62.5
2023-02-02 23:16:17,667 - mmcls - INFO - loss1 0.8922314643859863 ; loss2 1.0082728862762451
2023-02-02 23:16:20,396 - mmcls - INFO - [009/120] Training session : 5 ; lr : 0.2462785218768218 ; loss : 0.7011643052101135 ; acc@1 : 37.5
2023-02-02 23:16:20,396 - mmcls - INFO - loss1 0.7638025283813477 ; loss2 0.6385260820388794
2023-02-02 23:16:22,146 - mmcls - INFO - [010/120] Training session : 5 ; lr : 0.24541101430929016 ; loss : 0.2653765380382538 ; acc@1 : 100.0
2023-02-02 23:16:24,527 - mmcls - INFO - [011/120] Training session : 5 ; lr : 0.24445458432718145 ; loss : 0.6973728537559509 ; acc@1 : 62.5
2023-02-02 23:16:24,527 - mmcls - INFO - loss1 0.6911426782608032 ; loss2 0.7036030292510986
2023-02-02 23:16:27,104 - mmcls - INFO - [012/120] Training session : 5 ; lr : 0.24340994565439167 ; loss : 0.4774143695831299 ; acc@1 : 37.5
2023-02-02 23:16:27,105 - mmcls - INFO - loss1 0.4930983781814575 ; loss2 0.46173033118247986
2023-02-02 23:16:29,646 - mmcls - INFO - [013/120] Training session : 5 ; lr : 0.24227787783944751 ; loss : 0.571614682674408 ; acc@1 : 50.0
2023-02-02 23:16:29,646 - mmcls - INFO - loss1 0.5924416184425354 ; loss2 0.5507877469062805
2023-02-02 23:16:31,684 - mmcls - INFO - [014/120] Training session : 5 ; lr : 0.24105922567377808 ; loss : 0.4597095549106598 ; acc@1 : 62.5
2023-02-02 23:16:31,685 - mmcls - INFO - loss1 0.49335628747940063 ; loss2 0.42606282234191895
2023-02-02 23:16:34,033 - mmcls - INFO - [015/120] Training session : 5 ; lr : 0.2397548985612998 ; loss : 0.041663751006126404 ; acc@1 : 100.0
2023-02-02 23:16:36,345 - mmcls - INFO - [016/120] Training session : 5 ; lr : 0.23836586983978525 ; loss : 0.7531840205192566 ; acc@1 : 37.5
2023-02-02 23:16:36,345 - mmcls - INFO - loss1 0.8114362955093384 ; loss2 0.6949317455291748
2023-02-02 23:16:38,869 - mmcls - INFO - [017/120] Training session : 5 ; lr : 0.23689317605452184 ; loss : 0.5925188064575195 ; acc@1 : 75.0
2023-02-02 23:16:38,869 - mmcls - INFO - loss1 0.5007618069648743 ; loss2 0.68427574634552
2023-02-02 23:16:41,430 - mmcls - INFO - [018/120] Training session : 5 ; lr : 0.2353379161848031 ; loss : 0.5739849805831909 ; acc@1 : 50.0
2023-02-02 23:16:41,431 - mmcls - INFO - loss1 0.61113440990448 ; loss2 0.5368356108665466
2023-02-02 23:16:43,360 - mmcls - INFO - [019/120] Training session : 5 ; lr : 0.23370125082382903 ; loss : 0.38166946172714233 ; acc@1 : 62.5
2023-02-02 23:16:43,361 - mmcls - INFO - loss1 0.35649603605270386 ; loss2 0.4068428874015808
2023-02-02 23:16:45,536 - mmcls - INFO - [020/120] Training session : 5 ; lr : 0.23198440131262796 ; loss : 0.5100976228713989 ; acc@1 : 50.0
2023-02-02 23:16:45,536 - mmcls - INFO - loss1 0.49134719371795654 ; loss2 0.5288481116294861
2023-02-02 23:16:47,757 - mmcls - INFO - [021/120] Training session : 5 ; lr : 0.23018864882864606 ; loss : 0.05186360329389572 ; acc@1 : 100.0
2023-02-02 23:16:50,873 - mmcls - INFO - [022/120] Training session : 5 ; lr : 0.22831533342968485 ; loss : 0.5098546147346497 ; acc@1 : 37.5
2023-02-02 23:16:50,873 - mmcls - INFO - loss1 0.5373502373695374 ; loss2 0.4823589622974396
2023-02-02 23:16:52,591 - mmcls - INFO - [023/120] Training session : 5 ; lr : 0.22636585305389975 ; loss : 0.07437396794557571 ; acc@1 : 100.0
2023-02-02 23:16:55,189 - mmcls - INFO - [024/120] Training session : 5 ; lr : 0.2243416624766062 ; loss : 0.4529174566268921 ; acc@1 : 62.5
2023-02-02 23:16:55,197 - mmcls - INFO - loss1 0.4529174566268921 ; loss2 0.4529174566268921
2023-02-02 23:16:57,784 - mmcls - INFO - [025/120] Training session : 5 ; lr : 0.22224427222467197 ; loss : 0.5224218368530273 ; acc@1 : 50.0
2023-02-02 23:16:57,784 - mmcls - INFO - loss1 0.5420891642570496 ; loss2 0.5027545690536499
2023-02-02 23:17:00,039 - mmcls - INFO - [026/120] Training session : 5 ; lr : 0.22007524744930512 ; loss : 0.40621593594551086 ; acc@1 : 62.5
2023-02-02 23:17:00,040 - mmcls - INFO - loss1 0.37725067138671875 ; loss2 0.435181200504303
2023-02-02 23:17:02,045 - mmcls - INFO - [027/120] Training session : 5 ; lr : 0.21783620675807994 ; loss : 0.021717168390750885 ; acc@1 : 100.0
2023-02-02 23:17:04,469 - mmcls - INFO - [028/120] Training session : 5 ; lr : 0.21552882100707077 ; loss : 0.7211190462112427 ; acc@1 : 62.5
2023-02-02 23:17:04,470 - mmcls - INFO - loss1 0.7086077928543091 ; loss2 0.733630359172821
2023-02-02 23:17:06,969 - mmcls - INFO - [029/120] Training session : 5 ; lr : 0.2131548120539971 ; loss : 0.02134976163506508 ; acc@1 : 100.0
2023-02-02 23:17:09,541 - mmcls - INFO - [030/120] Training session : 5 ; lr : 0.21071595147330846 ; loss : 0.5620802640914917 ; acc@1 : 62.5
2023-02-02 23:17:09,541 - mmcls - INFO - loss1 0.5697880983352661 ; loss2 0.5543724298477173
2023-02-02 23:17:11,525 - mmcls - INFO - [031/120] Training session : 5 ; lr : 0.20821405923416933 ; loss : 0.4436444342136383 ; acc@1 : 50.0
2023-02-02 23:17:11,525 - mmcls - INFO - loss1 0.4223547875881195 ; loss2 0.4649340808391571
2023-02-02 23:17:13,743 - mmcls - INFO - [032/120] Training session : 5 ; lr : 0.2056510023423299 ; loss : 0.5630789995193481 ; acc@1 : 50.0
2023-02-02 23:17:13,744 - mmcls - INFO - loss1 0.5787911415100098 ; loss2 0.5473667979240417
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2023-02-02 23:17:23,263 - mmcls - INFO - loss1 0.24557942152023315 ; loss2 0.2155863493680954
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2023-02-02 23:17:34,254 - mmcls - INFO - loss1 0.4937385022640228 ; loss2 0.48335278034210205
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2023-02-02 23:17:36,658 - mmcls - INFO - loss1 0.39024120569229126 ; loss2 0.32925981283187866
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2023-02-02 23:17:41,292 - mmcls - INFO - loss1 0.46895846724510193 ; loss2 0.48521697521209717
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2023-02-02 23:17:52,853 - mmcls - INFO - loss1 0.5706400871276855 ; loss2 0.6631019115447998
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2023-02-02 23:17:55,281 - mmcls - INFO - loss1 0.4840858578681946 ; loss2 0.39325326681137085
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2023-02-02 23:17:57,482 - mmcls - INFO - loss1 0.3839185833930969 ; loss2 0.4129437208175659
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2023-02-02 23:17:59,782 - mmcls - INFO - loss1 0.4802948832511902 ; loss2 0.4802078306674957
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2023-02-02 23:18:01,982 - mmcls - INFO - loss1 0.36670243740081787 ; loss2 0.3996298313140869
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2023-02-02 23:18:04,379 - mmcls - INFO - loss1 0.49428343772888184 ; loss2 0.5025812983512878
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2023-02-02 23:18:06,532 - mmcls - INFO - loss1 0.19564546644687653 ; loss2 0.19564545154571533
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2023-02-02 23:18:11,403 - mmcls - INFO - loss1 0.3058772385120392 ; loss2 0.3658893406391144
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2023-02-02 23:18:13,861 - mmcls - INFO - loss1 0.4428495466709137 ; loss2 0.4264330267906189
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2023-02-02 23:18:16,041 - mmcls - INFO - loss1 0.32998186349868774 ; loss2 0.31408172845840454
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2023-02-02 23:18:18,142 - mmcls - INFO - loss1 0.39244627952575684 ; loss2 0.36721470952033997
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2023-02-02 23:18:20,232 - mmcls - INFO - loss1 0.3101632297039032 ; loss2 0.29055455327033997
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2023-02-02 23:18:22,351 - mmcls - INFO - loss1 0.41722333431243896 ; loss2 0.38648462295532227
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2023-02-02 23:18:24,814 - mmcls - INFO - loss1 0.2941420376300812 ; loss2 0.290460467338562
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2023-02-02 23:18:27,169 - mmcls - INFO - loss1 0.35918140411376953 ; loss2 0.3770315647125244
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2023-02-02 23:18:29,294 - mmcls - INFO - loss1 0.43339216709136963 ; loss2 0.41240614652633667
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2023-02-02 23:18:31,728 - mmcls - INFO - loss1 0.455243855714798 ; loss2 0.5002886652946472
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2023-02-02 23:18:33,994 - mmcls - INFO - loss1 0.2402929961681366 ; loss2 0.243534654378891
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2023-02-02 23:18:36,348 - mmcls - INFO - loss1 0.3050481677055359 ; loss2 0.27733081579208374
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2023-02-02 23:18:38,503 - mmcls - INFO - loss1 0.5232890844345093 ; loss2 0.44687217473983765
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2023-02-02 23:18:41,700 - mmcls - INFO - loss1 0.4373033344745636 ; loss2 0.47628533840179443
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2023-02-02 23:18:44,135 - mmcls - INFO - loss1 0.37127169966697693 ; loss2 0.3621390461921692
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2023-02-02 23:18:46,309 - mmcls - INFO - loss1 0.4778631925582886 ; loss2 0.48993393778800964
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2023-02-02 23:18:48,810 - mmcls - INFO - loss1 0.5557446479797363 ; loss2 0.5854296088218689
2023-02-02 23:18:51,189 - mmcls - INFO - [074/120] Training session : 5 ; lr : 0.07233942967308475 ; loss : 0.3570302128791809 ; acc@1 : 62.5
2023-02-02 23:18:51,189 - mmcls - INFO - loss1 0.35300153493881226 ; loss2 0.3610588610172272
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2023-02-02 23:18:53,289 - mmcls - INFO - loss1 0.3699522614479065 ; loss2 0.38693690299987793
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2023-02-02 23:18:55,812 - mmcls - INFO - loss1 0.39221543073654175 ; loss2 0.4296107590198517
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2023-02-02 23:18:59,940 - mmcls - INFO - loss1 0.42713844776153564 ; loss2 0.39827659726142883
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2023-02-02 23:19:02,161 - mmcls - INFO - loss1 0.24363680183887482 ; loss2 0.24895043671131134
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2023-02-02 23:19:04,344 - mmcls - INFO - loss1 0.5841187238693237 ; loss2 0.5581494569778442
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2023-02-02 23:19:06,917 - mmcls - INFO - loss1 0.5487759113311768 ; loss2 0.5503867268562317
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2023-02-02 23:19:09,457 - mmcls - INFO - loss1 0.2788701355457306 ; loss2 0.2798997163772583
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2023-02-02 23:19:13,551 - mmcls - INFO - loss1 0.19373440742492676 ; loss2 0.16435399651527405
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2023-02-02 23:19:15,780 - mmcls - INFO - loss1 0.36806702613830566 ; loss2 0.3867436945438385
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2023-02-02 23:19:18,185 - mmcls - INFO - loss1 0.518591046333313 ; loss2 0.5082153677940369
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2023-02-02 23:19:20,363 - mmcls - INFO - loss1 0.3462013900279999 ; loss2 0.38428783416748047
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2023-02-02 23:19:26,966 - mmcls - INFO - loss1 0.4074972867965698 ; loss2 0.42032137513160706
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2023-02-02 23:19:31,934 - mmcls - INFO - loss1 0.5394652485847473 ; loss2 0.5143789052963257
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2023-02-02 23:19:34,247 - mmcls - INFO - loss1 0.5043866634368896 ; loss2 0.4922570288181305
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2023-02-02 23:19:40,765 - mmcls - INFO - loss1 0.34211722016334534 ; loss2 0.3371412754058838
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2023-02-02 23:19:43,303 - mmcls - INFO - loss1 0.323688805103302 ; loss2 0.30190226435661316
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2023-02-02 23:20:24,051 - mmcls - INFO - [115/120] Training session : 5 ; lr : 0.0025 ; loss : 0.00010610680328682065 ; acc@1 : 100.0
2023-02-02 23:20:26,607 - mmcls - INFO - [116/120] Training session : 5 ; lr : 0.00025 ; loss : 0.25837817788124084 ; acc@1 : 62.5
2023-02-02 23:20:26,608 - mmcls - INFO - loss1 0.27165305614471436 ; loss2 0.24510331451892853
2023-02-02 23:20:28,755 - mmcls - INFO - [117/120] Training session : 5 ; lr : 0.00025 ; loss : 0.0015491582453250885 ; acc@1 : 100.0
2023-02-02 23:20:31,195 - mmcls - INFO - [118/120] Training session : 5 ; lr : 0.00025 ; loss : 0.4647125005722046 ; acc@1 : 62.5
2023-02-02 23:20:31,196 - mmcls - INFO - loss1 0.47418588399887085 ; loss2 0.4552391469478607
2023-02-02 23:20:33,438 - mmcls - INFO - [119/120] Training session : 5 ; lr : 0.00025 ; loss : 0.5497449636459351 ; acc@1 : 50.0
2023-02-02 23:20:33,439 - mmcls - INFO - loss1 0.5583391785621643 ; loss2 0.5411507487297058
2023-02-02 23:20:35,801 - mmcls - INFO - [120/120] Training session : 5 ; lr : 0.00025 ; loss : 0.40239274501800537 ; acc@1 : 62.5
2023-02-02 23:20:35,801 - mmcls - INFO - loss1 0.41628941893577576 ; loss2 0.388496071100235
2023-02-02 23:20:35,801 - mmcls - INFO - Evaluating session 5, from 0 to 80.
2023-02-02 23:20:38,550 - mmcls - INFO - [05]Evaluation results : acc : 66.19 ; acc_base : 77.60 ; acc_inc : 31.95
2023-02-02 23:20:38,550 - mmcls - INFO - [05]Evaluation results : acc_incremental_old : 30.00 ; acc_incremental_new : 37.80
2023-02-02 23:20:38,650 - mmcls - INFO - Starting session : 6 ------------------------------------------------------------
2023-02-02 23:20:38,650 - mmcls - INFO - Newly added classes are from 80 to 85.
2023-02-02 23:20:38,651 - mmcls - INFO - Model now can classify 85 classes
2023-02-02 23:20:38,651 - mmcls - INFO - 140 steps
2023-02-02 23:20:38,651 - mmcls - INFO - Extracting mean neck feat from 60 to 80
2023-02-02 23:20:38,651 - mmcls - INFO - Copy 1 duplications.
2023-02-02 23:20:38,654 - mmcls - INFO - Session : 6 ; The dataset has 105 samples.
2023-02-02 23:20:38,655 - mmcls - INFO - Labels : [80, 80, 80, 80, 80, 81, 81, 81, 81, 81, 82, 82, 82, 82, 82, 83, 83, 83, 83, 83, 84, 84, 84, 84, 84, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 19, 39, 8, 49, 47, 53, 35, 11, 29, 28, 31, 21, 25, 48, 2, 44, 5, 57, 23, 51, 4, 26, 22, 34, 40, 27, 33, 1, 45, 37, 32, 54, 43, 3, 56, 24, 15, 42, 13, 7, 36, 41, 18, 12, 38, 52, 9, 50, 58, 16, 6, 10, 14, 20, 55, 17, 30, 59, 0, 46]
2023-02-02 23:20:40,873 - mmcls - INFO - [001/140] Training session : 6 ; lr : 0.06999061820686832 ; loss : 0.896274745464325 ; acc@1 : 25.0
2023-02-02 23:20:40,873 - mmcls - INFO - loss1 0.8932332992553711 ; loss2 0.8993161916732788
2023-02-02 23:20:42,620 - mmcls - INFO - [002/140] Training session : 6 ; lr : 0.1149383565629455 ; loss : 0.8260713815689087 ; acc@1 : 37.5
2023-02-02 23:20:42,685 - mmcls - INFO - loss1 0.8093606233596802 ; loss2 0.8427821397781372
2023-02-02 23:20:45,421 - mmcls - INFO - [003/140] Training session : 6 ; lr : 0.15980707278057804 ; loss : 1.1893324851989746 ; acc@1 : 50.0
2023-02-02 23:20:45,421 - mmcls - INFO - loss1 1.1974272727966309 ; loss2 1.1812375783920288
2023-02-02 23:20:47,592 - mmcls - INFO - [004/140] Training session : 6 ; lr : 0.2045606934811889 ; loss : 0.3664676547050476 ; acc@1 : 75.0
2023-02-02 23:20:47,593 - mmcls - INFO - loss1 0.3855594992637634 ; loss2 0.3473758101463318
2023-02-02 23:20:49,280 - mmcls - INFO - [005/140] Training session : 6 ; lr : 0.24916324677056545 ; loss : 0.5367058515548706 ; acc@1 : 62.5
2023-02-02 23:20:49,280 - mmcls - INFO - loss1 0.557366669178009 ; loss2 0.516045093536377
2023-02-02 23:20:51,821 - mmcls - INFO - [006/140] Training session : 6 ; lr : 0.24879567350676934 ; loss : 0.6736403703689575 ; acc@1 : 62.5
2023-02-02 23:20:51,822 - mmcls - INFO - loss1 0.6895095109939575 ; loss2 0.6577712893486023
2023-02-02 23:20:54,170 - mmcls - INFO - [007/140] Training session : 6 ; lr : 0.24836173959893168 ; loss : 0.6263008117675781 ; acc@1 : 62.5
2023-02-02 23:20:54,170 - mmcls - INFO - loss1 0.6331223249435425 ; loss2 0.6194792985916138
2023-02-02 23:20:56,342 - mmcls - INFO - [008/140] Training session : 6 ; lr : 0.24786168002991865 ; loss : 0.7561859488487244 ; acc@1 : 50.0
2023-02-02 23:20:56,342 - mmcls - INFO - loss1 0.7513254880905151 ; loss2 0.7610464096069336
2023-02-02 23:20:58,793 - mmcls - INFO - [009/140] Training session : 6 ; lr : 0.24729576559080846 ; loss : 0.2770068645477295 ; acc@1 : 75.0
2023-02-02 23:20:58,793 - mmcls - INFO - loss1 0.2724231481552124 ; loss2 0.2815905809402466
2023-02-02 23:21:00,829 - mmcls - INFO - [010/140] Training session : 6 ; lr : 0.2466643027342532 ; loss : 0.7220648527145386 ; acc@1 : 50.0
2023-02-02 23:21:00,830 - mmcls - INFO - loss1 0.7263985276222229 ; loss2 0.7177311182022095
2023-02-02 23:21:02,991 - mmcls - INFO - [011/140] Training session : 6 ; lr : 0.2459676334085294 ; loss : 0.5964908003807068 ; acc@1 : 50.0
2023-02-02 23:21:02,991 - mmcls - INFO - loss1 0.5908470749855042 ; loss2 0.6021345257759094
2023-02-02 23:21:05,282 - mmcls - INFO - [012/140] Training session : 6 ; lr : 0.24520613487236698 ; loss : 0.6264491677284241 ; acc@1 : 37.5
2023-02-02 23:21:05,282 - mmcls - INFO - loss1 0.5595487356185913 ; loss2 0.6933495998382568
2023-02-02 23:21:07,169 - mmcls - INFO - [013/140] Training session : 6 ; lr : 0.24438021949065683 ; loss : 0.048723090440034866 ; acc@1 : 100.0
2023-02-02 23:21:09,850 - mmcls - INFO - [014/140] Training session : 6 ; lr : 0.24349033451114824 ; loss : 0.5363775491714478 ; acc@1 : 62.5
2023-02-02 23:21:09,850 - mmcls - INFO - loss1 0.536278247833252 ; loss2 0.5364769101142883
2023-02-02 23:21:12,048 - mmcls - INFO - [015/140] Training session : 6 ; lr : 0.24253696182225618 ; loss : 0.015425499528646469 ; acc@1 : 100.0
2023-02-02 23:21:14,619 - mmcls - INFO - [016/140] Training session : 6 ; lr : 0.24152061769211014 ; loss : 0.5301148295402527 ; acc@1 : 50.0
2023-02-02 23:21:14,619 - mmcls - INFO - loss1 0.5157139301300049 ; loss2 0.5445157289505005
2023-02-02 23:21:16,805 - mmcls - INFO - [017/140] Training session : 6 ; lr : 0.24044185248898597 ; loss : 0.7211241722106934 ; acc@1 : 62.5
2023-02-02 23:21:16,806 - mmcls - INFO - loss1 0.746441125869751 ; loss2 0.6958072185516357
2023-02-02 23:21:19,254 - mmcls - INFO - [018/140] Training session : 6 ; lr : 0.23930125038327185 ; loss : 0.3172125220298767 ; acc@1 : 62.5
2023-02-02 23:21:19,254 - mmcls - INFO - loss1 0.3059554398059845 ; loss2 0.3284696042537689
2023-02-02 23:21:21,517 - mmcls - INFO - [019/140] Training session : 6 ; lr : 0.23809942903112943 ; loss : 0.5384445190429688 ; acc@1 : 50.0
2023-02-02 23:21:21,518 - mmcls - INFO - loss1 0.5659197568893433 ; loss2 0.5109692215919495
2023-02-02 23:21:23,862 - mmcls - INFO - [020/140] Training session : 6 ; lr : 0.23683703924002228 ; loss : 0.8077167272567749 ; acc@1 : 50.0
2023-02-02 23:21:23,862 - mmcls - INFO - loss1 0.8233965039253235 ; loss2 0.7920370101928711
2023-02-02 23:21:25,638 - mmcls - INFO - [021/140] Training session : 6 ; lr : 0.23551476461629223 ; loss : 0.3256835639476776 ; acc@1 : 50.0
2023-02-02 23:21:25,639 - mmcls - INFO - loss1 0.33425432443618774 ; loss2 0.3171128034591675
2023-02-02 23:21:28,507 - mmcls - INFO - [022/140] Training session : 6 ; lr : 0.23413332119497435 ; loss : 0.5169645547866821 ; acc@1 : 62.5
2023-02-02 23:21:28,508 - mmcls - INFO - loss1 0.5101453065872192 ; loss2 0.5237837433815002
2023-02-02 23:21:30,260 - mmcls - INFO - [023/140] Training session : 6 ; lr : 0.2326934570520515 ; loss : 0.03393752500414848 ; acc@1 : 100.0
2023-02-02 23:21:32,789 - mmcls - INFO - [024/140] Training session : 6 ; lr : 0.2311959518993577 ; loss : 0.3926743268966675 ; acc@1 : 62.5
2023-02-02 23:21:32,790 - mmcls - INFO - loss1 0.40569019317626953 ; loss2 0.37965846061706543
2023-02-02 23:21:34,951 - mmcls - INFO - [025/140] Training session : 6 ; lr : 0.2296416166623509 ; loss : 0.4051741361618042 ; acc@1 : 50.0
2023-02-02 23:21:34,951 - mmcls - INFO - loss1 0.4461604952812195 ; loss2 0.3641878068447113
2023-02-02 23:21:37,139 - mmcls - INFO - [026/140] Training session : 6 ; lr : 0.22803129304098196 ; loss : 0.5753833055496216 ; acc@1 : 50.0
2023-02-02 23:21:37,139 - mmcls - INFO - loss1 0.599652111530304 ; loss2 0.5511144399642944
2023-02-02 23:21:39,135 - mmcls - INFO - [027/140] Training session : 6 ; lr : 0.22636585305389975 ; loss : 0.5921664237976074 ; acc@1 : 25.0
2023-02-02 23:21:39,136 - mmcls - INFO - loss1 0.5728335976600647 ; loss2 0.6114992499351501
2023-02-02 23:21:41,404 - mmcls - INFO - [028/140] Training session : 6 ; lr : 0.2246461985662374 ; loss : 0.3556744456291199 ; acc@1 : 50.0
2023-02-02 23:21:41,405 - mmcls - INFO - loss1 0.35316500067710876 ; loss2 0.35818392038345337
2023-02-02 23:21:43,616 - mmcls - INFO - [029/140] Training session : 6 ; lr : 0.2228732608012366 ; loss : 0.621841549873352 ; acc@1 : 62.5
2023-02-02 23:21:43,616 - mmcls - INFO - loss1 0.615385890007019 ; loss2 0.6282972097396851
2023-02-02 23:21:45,865 - mmcls - INFO - [030/140] Training session : 6 ; lr : 0.2210479998359735 ; loss : 0.40596625208854675 ; acc@1 : 62.5
2023-02-02 23:21:45,866 - mmcls - INFO - loss1 0.40972059965133667 ; loss2 0.40221190452575684
2023-02-02 23:21:48,111 - mmcls - INFO - [031/140] Training session : 6 ; lr : 0.21917140408146055 ; loss : 0.3430238962173462 ; acc@1 : 50.0
2023-02-02 23:21:48,112 - mmcls - INFO - loss1 0.3622892498970032 ; loss2 0.3237585723400116
2023-02-02 23:21:50,329 - mmcls - INFO - [032/140] Training session : 6 ; lr : 0.21724448974740382 ; loss : 0.48741018772125244 ; acc@1 : 62.5
2023-02-02 23:21:50,330 - mmcls - INFO - loss1 0.484384149312973 ; loss2 0.49043625593185425
2023-02-02 23:21:52,725 - mmcls - INFO - [033/140] Training session : 6 ; lr : 0.21526830029190808 ; loss : 0.6928473711013794 ; acc@1 : 50.0
2023-02-02 23:21:52,726 - mmcls - INFO - loss1 0.7150191068649292 ; loss2 0.6706756353378296
2023-02-02 23:21:55,088 - mmcls - INFO - [034/140] Training session : 6 ; lr : 0.21324390585642566 ; loss : 0.523165762424469 ; acc@1 : 50.0
2023-02-02 23:21:55,089 - mmcls - INFO - loss1 0.5317675471305847 ; loss2 0.5145639777183533
2023-02-02 23:21:57,116 - mmcls - INFO - [035/140] Training session : 6 ; lr : 0.21117240268625578 ; loss : 0.5592656135559082 ; acc@1 : 75.0
2023-02-02 23:21:57,117 - mmcls - INFO - loss1 0.5458921790122986 ; loss2 0.572638988494873
2023-02-02 23:21:59,600 - mmcls - INFO - [036/140] Training session : 6 ; lr : 0.2090549125369087 ; loss : 0.332531213760376 ; acc@1 : 50.0
2023-02-02 23:21:59,600 - mmcls - INFO - loss1 0.3260553181171417 ; loss2 0.3390071392059326
2023-02-02 23:22:01,454 - mmcls - INFO - [037/140] Training session : 6 ; lr : 0.2068925820666551 ; loss : 0.005334427114576101 ; acc@1 : 100.0
2023-02-02 23:22:04,352 - mmcls - INFO - [038/140] Training session : 6 ; lr : 0.20468658221559038 ; loss : 0.5102388858795166 ; acc@1 : 62.5
2023-02-02 23:22:04,353 - mmcls - INFO - loss1 0.5072877407073975 ; loss2 0.513189971446991
2023-02-02 23:22:06,176 - mmcls - INFO - [039/140] Training session : 6 ; lr : 0.2024381075715502 ; loss : 0.010998919606208801 ; acc@1 : 100.0
2023-02-02 23:22:08,770 - mmcls - INFO - [040/140] Training session : 6 ; lr : 0.20014837572321978 ; loss : 0.3059307336807251 ; acc@1 : 50.0
2023-02-02 23:22:08,770 - mmcls - INFO - loss1 0.32781821489334106 ; loss2 0.28404325246810913
2023-02-02 23:22:10,902 - mmcls - INFO - [041/140] Training session : 6 ; lr : 0.1978186266007883 ; loss : 0.3710337281227112 ; acc@1 : 75.0
2023-02-02 23:22:10,903 - mmcls - INFO - loss1 0.36747241020202637 ; loss2 0.3745950758457184
2023-02-02 23:22:13,220 - mmcls - INFO - [042/140] Training session : 6 ; lr : 0.1954501218045049 ; loss : 0.5683083534240723 ; acc@1 : 62.5
2023-02-02 23:22:13,221 - mmcls - INFO - loss1 0.5646939277648926 ; loss2 0.571922779083252
2023-02-02 23:22:15,211 - mmcls - INFO - [043/140] Training session : 6 ; lr : 0.19304414392149974 ; loss : 0.006528783123940229 ; acc@1 : 100.0
2023-02-02 23:22:18,047 - mmcls - INFO - [044/140] Training session : 6 ; lr : 0.19060199583124038 ; loss : 0.48207658529281616 ; acc@1 : 50.0
2023-02-02 23:22:18,048 - mmcls - INFO - loss1 0.4851517081260681 ; loss2 0.4790014326572418
2023-02-02 23:22:19,841 - mmcls - INFO - [045/140] Training session : 6 ; lr : 0.188125 ; loss : 0.03010876104235649 ; acc@1 : 100.0
2023-02-02 23:22:22,426 - mmcls - INFO - [046/140] Training session : 6 ; lr : 0.18561449776471797 ; loss : 0.2691291570663452 ; acc@1 : 75.0
2023-02-02 23:22:22,426 - mmcls - INFO - loss1 0.2691291570663452 ; loss2 0.2691291272640228
2023-02-02 23:22:24,399 - mmcls - INFO - [047/140] Training session : 6 ; lr : 0.1830718486066427 ; loss : 0.5026265382766724 ; acc@1 : 62.5
2023-02-02 23:22:24,400 - mmcls - INFO - loss1 0.5117233991622925 ; loss2 0.49352970719337463
2023-02-02 23:22:26,854 - mmcls - INFO - [048/140] Training session : 6 ; lr : 0.18049842941514832 ; loss : 0.0038422083016484976 ; acc@1 : 100.0
2023-02-02 23:22:29,262 - mmcls - INFO - [049/140] Training session : 6 ; lr : 0.17789563374212497 ; loss : 0.5966222882270813 ; acc@1 : 50.0
2023-02-02 23:22:29,262 - mmcls - INFO - loss1 0.5959296226501465 ; loss2 0.5973149538040161
2023-02-02 23:22:31,217 - mmcls - INFO - [050/140] Training session : 6 ; lr : 0.17526487104734567 ; loss : 0.458013117313385 ; acc@1 : 37.5
2023-02-02 23:22:31,217 - mmcls - INFO - loss1 0.44089481234550476 ; loss2 0.47513142228126526
2023-02-02 23:22:33,699 - mmcls - INFO - [051/140] Training session : 6 ; lr : 0.17260756593521914 ; loss : 0.010009962134063244 ; acc@1 : 100.0
2023-02-02 23:22:36,316 - mmcls - INFO - [052/140] Training session : 6 ; lr : 0.16992515738334127 ; loss : 0.3742454946041107 ; acc@1 : 62.5
2023-02-02 23:22:36,316 - mmcls - INFO - loss1 0.3742454946041107 ; loss2 0.3742454946041107
2023-02-02 23:22:38,968 - mmcls - INFO - [053/140] Training session : 6 ; lr : 0.16721909796326356 ; loss : 0.4020324945449829 ; acc@1 : 62.5
2023-02-02 23:22:38,968 - mmcls - INFO - loss1 0.371734082698822 ; loss2 0.4323309063911438
2023-02-02 23:22:41,205 - mmcls - INFO - [054/140] Training session : 6 ; lr : 0.16449085305389974 ; loss : 0.002480902476236224 ; acc@1 : 100.0
2023-02-02 23:22:43,255 - mmcls - INFO - [055/140] Training session : 6 ; lr : 0.16174190004799743 ; loss : 0.6093703508377075 ; acc@1 : 62.5
2023-02-02 23:22:43,256 - mmcls - INFO - loss1 0.5880635976791382 ; loss2 0.6306771039962769
2023-02-02 23:22:45,147 - mmcls - INFO - [056/140] Training session : 6 ; lr : 0.1589737275521038 ; loss : 0.0077452813275158405 ; acc@1 : 100.0
2023-02-02 23:22:47,440 - mmcls - INFO - [057/140] Training session : 6 ; lr : 0.15618783458045887 ; loss : 0.0016007812228053808 ; acc@1 : 100.0
2023-02-02 23:22:49,748 - mmcls - INFO - [058/140] Training session : 6 ; lr : 0.153385729743253 ; loss : 0.6093100905418396 ; acc@1 : 50.0
2023-02-02 23:22:49,748 - mmcls - INFO - loss1 0.593213677406311 ; loss2 0.6254065036773682
2023-02-02 23:22:52,000 - mmcls - INFO - [059/140] Training session : 6 ; lr : 0.15056893042968772 ; loss : 0.27257370948791504 ; acc@1 : 62.5
2023-02-02 23:22:52,000 - mmcls - INFO - loss1 0.25805675983428955 ; loss2 0.2870906591415405
2023-02-02 23:22:54,227 - mmcls - INFO - [060/140] Training session : 6 ; lr : 0.14773896198628264 ; loss : 0.39102673530578613 ; acc@1 : 50.0
2023-02-02 23:22:54,228 - mmcls - INFO - loss1 0.41403836011886597 ; loss2 0.3680151104927063
2023-02-02 23:22:56,718 - mmcls - INFO - [061/140] Training session : 6 ; lr : 0.14489735689087355 ; loss : 0.3979766070842743 ; acc@1 : 62.5
2023-02-02 23:22:56,719 - mmcls - INFO - loss1 0.3985312581062317 ; loss2 0.3974219560623169
2023-02-02 23:22:58,994 - mmcls - INFO - [062/140] Training session : 6 ; lr : 0.14204565392274862 ; loss : 0.0010357763385400176 ; acc@1 : 100.0
2023-02-02 23:23:01,176 - mmcls - INFO - [063/140] Training session : 6 ; lr : 0.13918539732937213 ; loss : 0.0032059443183243275 ; acc@1 : 100.0
2023-02-02 23:23:03,550 - mmcls - INFO - [064/140] Training session : 6 ; lr : 0.13631813599014747 ; loss : 0.682816207408905 ; acc@1 : 50.0
2023-02-02 23:23:03,551 - mmcls - INFO - loss1 0.7281288504600525 ; loss2 0.6375035643577576
2023-02-02 23:23:05,902 - mmcls - INFO - [065/140] Training session : 6 ; lr : 0.1334454225776714 ; loss : 0.0027269218116998672 ; acc@1 : 100.0
2023-02-02 23:23:08,305 - mmcls - INFO - [066/140] Training session : 6 ; lr : 0.13056881271693452 ; loss : 0.5486278533935547 ; acc@1 : 50.0
2023-02-02 23:23:08,305 - mmcls - INFO - loss1 0.5678435564041138 ; loss2 0.5294121503829956
2023-02-02 23:23:10,568 - mmcls - INFO - [067/140] Training session : 6 ; lr : 0.1276898641429229 ; loss : 0.005776819307357073 ; acc@1 : 100.0
2023-02-02 23:23:12,602 - mmcls - INFO - [068/140] Training session : 6 ; lr : 0.12481013585707715 ; loss : 0.5466837882995605 ; acc@1 : 50.0
2023-02-02 23:23:12,602 - mmcls - INFO - loss1 0.5459651947021484 ; loss2 0.5474023818969727
2023-02-02 23:23:15,124 - mmcls - INFO - [069/140] Training session : 6 ; lr : 0.12193118728306554 ; loss : 0.3923531174659729 ; acc@1 : 50.0
2023-02-02 23:23:15,125 - mmcls - INFO - loss1 0.36871805787086487 ; loss2 0.4159882068634033
2023-02-02 23:23:16,828 - mmcls - INFO - [070/140] Training session : 6 ; lr : 0.11905457742232863 ; loss : 0.004283173009753227 ; acc@1 : 100.0
2023-02-02 23:23:19,469 - mmcls - INFO - [071/140] Training session : 6 ; lr : 0.11618186400985255 ; loss : 0.2639780640602112 ; acc@1 : 62.5
2023-02-02 23:23:19,481 - mmcls - INFO - loss1 0.26421263813972473 ; loss2 0.26374346017837524
2023-02-02 23:23:21,828 - mmcls - INFO - [072/140] Training session : 6 ; lr : 0.1133146026706279 ; loss : 0.5622915029525757 ; acc@1 : 62.5
2023-02-02 23:23:21,828 - mmcls - INFO - loss1 0.5421463251113892 ; loss2 0.5824366807937622
2023-02-02 23:23:23,564 - mmcls - INFO - [073/140] Training session : 6 ; lr : 0.11045434607725142 ; loss : 0.002853893907740712 ; acc@1 : 100.0
2023-02-02 23:23:26,217 - mmcls - INFO - [074/140] Training session : 6 ; lr : 0.10760264310912647 ; loss : 0.00042189849773421884 ; acc@1 : 100.0
2023-02-02 23:23:28,338 - mmcls - INFO - [075/140] Training session : 6 ; lr : 0.10476103801371738 ; loss : 0.5229368209838867 ; acc@1 : 50.0
2023-02-02 23:23:28,338 - mmcls - INFO - loss1 0.49491453170776367 ; loss2 0.550959050655365
2023-02-02 23:23:30,465 - mmcls - INFO - [076/140] Training session : 6 ; lr : 0.10193106957031225 ; loss : 0.41246968507766724 ; acc@1 : 62.5
2023-02-02 23:23:30,465 - mmcls - INFO - loss1 0.3948119878768921 ; loss2 0.43012735247612
2023-02-02 23:23:33,237 - mmcls - INFO - [077/140] Training session : 6 ; lr : 0.09911427025674695 ; loss : 0.4435798227787018 ; acc@1 : 62.5
2023-02-02 23:23:33,238 - mmcls - INFO - loss1 0.4398125410079956 ; loss2 0.44734710454940796
2023-02-02 23:23:35,829 - mmcls - INFO - [078/140] Training session : 6 ; lr : 0.09631216541954114 ; loss : 0.0026571471244096756 ; acc@1 : 100.0
2023-02-02 23:23:37,758 - mmcls - INFO - [079/140] Training session : 6 ; lr : 0.09352627244789626 ; loss : 0.42873069643974304 ; acc@1 : 50.0
2023-02-02 23:23:37,758 - mmcls - INFO - loss1 0.44846439361572266 ; loss2 0.4089969992637634
2023-02-02 23:23:40,149 - mmcls - INFO - [080/140] Training session : 6 ; lr : 0.09075809995200261 ; loss : 0.004098951350897551 ; acc@1 : 100.0
2023-02-02 23:23:42,337 - mmcls - INFO - [081/140] Training session : 6 ; lr : 0.08800914694610026 ; loss : 0.5428696870803833 ; acc@1 : 62.5
2023-02-02 23:23:42,337 - mmcls - INFO - loss1 0.5245406031608582 ; loss2 0.5611988306045532
2023-02-02 23:23:44,545 - mmcls - INFO - [082/140] Training session : 6 ; lr : 0.08528090203673645 ; loss : 0.004091620445251465 ; acc@1 : 100.0
2023-02-02 23:23:46,925 - mmcls - INFO - [083/140] Training session : 6 ; lr : 0.08257484261665875 ; loss : 0.4876071512699127 ; acc@1 : 25.0
2023-02-02 23:23:46,926 - mmcls - INFO - loss1 0.4773904085159302 ; loss2 0.49782389402389526
2023-02-02 23:23:49,108 - mmcls - INFO - [084/140] Training session : 6 ; lr : 0.07989243406478089 ; loss : 0.2611401677131653 ; acc@1 : 62.5
2023-02-02 23:23:49,109 - mmcls - INFO - loss1 0.231765478849411 ; loss2 0.29051482677459717
2023-02-02 23:23:51,517 - mmcls - INFO - [085/140] Training session : 6 ; lr : 0.07723512895265434 ; loss : 0.3799472451210022 ; acc@1 : 50.0
2023-02-02 23:23:51,518 - mmcls - INFO - loss1 0.41066551208496094 ; loss2 0.34922894835472107
2023-02-02 23:23:53,621 - mmcls - INFO - [086/140] Training session : 6 ; lr : 0.07460436625787505 ; loss : 0.5335559844970703 ; acc@1 : 62.5
2023-02-02 23:23:53,621 - mmcls - INFO - loss1 0.5307111144065857 ; loss2 0.5364009141921997
2023-02-02 23:23:55,746 - mmcls - INFO - [087/140] Training session : 6 ; lr : 0.07200157058485165 ; loss : 0.0036111383233219385 ; acc@1 : 100.0
2023-02-02 23:23:57,710 - mmcls - INFO - [088/140] Training session : 6 ; lr : 0.06942815139335728 ; loss : 0.5245441198348999 ; acc@1 : 50.0
2023-02-02 23:23:57,711 - mmcls - INFO - loss1 0.5165172219276428 ; loss2 0.5325709581375122
2023-02-02 23:23:59,822 - mmcls - INFO - [089/140] Training session : 6 ; lr : 0.06688550223528207 ; loss : 0.5584675073623657 ; acc@1 : 50.0
2023-02-02 23:23:59,822 - mmcls - INFO - loss1 0.5624067187309265 ; loss2 0.5545282363891602
2023-02-02 23:24:02,198 - mmcls - INFO - [090/140] Training session : 6 ; lr : 0.06437500000000003 ; loss : 0.002001164946705103 ; acc@1 : 100.0
2023-02-02 23:24:04,644 - mmcls - INFO - [091/140] Training session : 6 ; lr : 0.0618980041687596 ; loss : 0.003212742507457733 ; acc@1 : 100.0
2023-02-02 23:24:07,236 - mmcls - INFO - [092/140] Training session : 6 ; lr : 0.059455856078500326 ; loss : 0.4873597025871277 ; acc@1 : 50.0
2023-02-02 23:24:07,237 - mmcls - INFO - loss1 0.48570677638053894 ; loss2 0.48901262879371643
2023-02-02 23:24:09,349 - mmcls - INFO - [093/140] Training session : 6 ; lr : 0.0570498781954951 ; loss : 0.5233595371246338 ; acc@1 : 50.0
2023-02-02 23:24:09,350 - mmcls - INFO - loss1 0.5366756319999695 ; loss2 0.5100434422492981
2023-02-02 23:24:11,790 - mmcls - INFO - [094/140] Training session : 6 ; lr : 0.05468137339921167 ; loss : 0.5000530481338501 ; acc@1 : 50.0
2023-02-02 23:24:11,791 - mmcls - INFO - loss1 0.5087796449661255 ; loss2 0.4913264214992523
2023-02-02 23:24:13,919 - mmcls - INFO - [095/140] Training session : 6 ; lr : 0.05235162427678024 ; loss : 0.002934815129265189 ; acc@1 : 100.0
2023-02-02 23:24:16,561 - mmcls - INFO - [096/140] Training session : 6 ; lr : 0.050061892428449786 ; loss : 0.4422178268432617 ; acc@1 : 50.0
2023-02-02 23:24:16,561 - mmcls - INFO - loss1 0.44303053617477417 ; loss2 0.44140511751174927
2023-02-02 23:24:19,374 - mmcls - INFO - [097/140] Training session : 6 ; lr : 0.0478134177844096 ; loss : 0.4935501217842102 ; acc@1 : 62.5
2023-02-02 23:24:19,375 - mmcls - INFO - loss1 0.5010488033294678 ; loss2 0.48605144023895264
2023-02-02 23:24:21,534 - mmcls - INFO - [098/140] Training session : 6 ; lr : 0.045607417933344926 ; loss : 0.48307642340660095 ; acc@1 : 62.5
2023-02-02 23:24:21,534 - mmcls - INFO - loss1 0.477615624666214 ; loss2 0.4885372221469879
2023-02-02 23:24:24,440 - mmcls - INFO - [099/140] Training session : 6 ; lr : 0.043445087463091336 ; loss : 0.22112999856472015 ; acc@1 : 50.0
2023-02-02 23:24:24,440 - mmcls - INFO - loss1 0.2222004532814026 ; loss2 0.22005954384803772
2023-02-02 23:24:26,398 - mmcls - INFO - [100/140] Training session : 6 ; lr : 0.04132759731374423 ; loss : 0.39017271995544434 ; acc@1 : 62.5
2023-02-02 23:24:26,398 - mmcls - INFO - loss1 0.390977144241333 ; loss2 0.38936829566955566
2023-02-02 23:24:28,747 - mmcls - INFO - [101/140] Training session : 6 ; lr : 0.03925609414357436 ; loss : 0.5126838684082031 ; acc@1 : 62.5
2023-02-02 23:24:28,747 - mmcls - INFO - loss1 0.5224079489707947 ; loss2 0.5029598474502563
2023-02-02 23:24:30,830 - mmcls - INFO - [102/140] Training session : 6 ; lr : 0.037231699708091946 ; loss : 0.0007690258789807558 ; acc@1 : 100.0
2023-02-02 23:24:33,090 - mmcls - INFO - [103/140] Training session : 6 ; lr : 0.03525551025259622 ; loss : 0.0009028054773807526 ; acc@1 : 100.0
2023-02-02 23:24:35,592 - mmcls - INFO - [104/140] Training session : 6 ; lr : 0.033328595918539476 ; loss : 0.1792997419834137 ; acc@1 : 75.0
2023-02-02 23:24:35,592 - mmcls - INFO - loss1 0.17590202391147614 ; loss2 0.18269747495651245
2023-02-02 23:24:38,092 - mmcls - INFO - [105/140] Training session : 6 ; lr : 0.03145200016402649 ; loss : 0.35851868987083435 ; acc@1 : 25.0
2023-02-02 23:24:38,092 - mmcls - INFO - loss1 0.35793280601501465 ; loss2 0.35910457372665405
2023-02-02 23:24:40,819 - mmcls - INFO - [106/140] Training session : 6 ; lr : 0.02962673919876342 ; loss : 0.000670523673761636 ; acc@1 : 100.0
2023-02-02 23:24:43,136 - mmcls - INFO - [107/140] Training session : 6 ; lr : 0.027853801433762572 ; loss : 0.46510010957717896 ; acc@1 : 62.5
2023-02-02 23:24:43,137 - mmcls - INFO - loss1 0.45767539739608765 ; loss2 0.47252482175827026
2023-02-02 23:24:44,918 - mmcls - INFO - [108/140] Training session : 6 ; lr : 0.026134146946100265 ; loss : 0.002487598918378353 ; acc@1 : 100.0
2023-02-02 23:24:47,761 - mmcls - INFO - [109/140] Training session : 6 ; lr : 0.02446870695901804 ; loss : 0.0012648687697947025 ; acc@1 : 100.0
2023-02-02 23:24:49,776 - mmcls - INFO - [110/140] Training session : 6 ; lr : 0.022858383337649137 ; loss : 0.002583628287538886 ; acc@1 : 100.0
2023-02-02 23:24:52,297 - mmcls - INFO - [111/140] Training session : 6 ; lr : 0.021304048100642285 ; loss : 0.3031328320503235 ; acc@1 : 75.0
2023-02-02 23:24:52,298 - mmcls - INFO - loss1 0.3034586012363434 ; loss2 0.3028070628643036
2023-02-02 23:24:55,092 - mmcls - INFO - [112/140] Training session : 6 ; lr : 0.019806542947948553 ; loss : 0.3316721022129059 ; acc@1 : 50.0
2023-02-02 23:24:55,092 - mmcls - INFO - loss1 0.33065545558929443 ; loss2 0.33268874883651733
2023-02-02 23:24:57,132 - mmcls - INFO - [113/140] Training session : 6 ; lr : 0.018366678805025665 ; loss : 0.30203890800476074 ; acc@1 : 62.5
2023-02-02 23:24:57,133 - mmcls - INFO - loss1 0.2894035875797272 ; loss2 0.3146741986274719
2023-02-02 23:24:59,869 - mmcls - INFO - [114/140] Training session : 6 ; lr : 0.016985235383707786 ; loss : 0.2853116989135742 ; acc@1 : 75.0
2023-02-02 23:24:59,870 - mmcls - INFO - loss1 0.3093201220035553 ; loss2 0.2613033056259155
2023-02-02 23:25:01,877 - mmcls - INFO - [115/140] Training session : 6 ; lr : 0.015662960759977744 ; loss : 0.3479665517807007 ; acc@1 : 62.5
2023-02-02 23:25:01,877 - mmcls - INFO - loss1 0.3623421788215637 ; loss2 0.33359092473983765
2023-02-02 23:25:04,017 - mmcls - INFO - [116/140] Training session : 6 ; lr : 0.01440057096887059 ; loss : 0.0018656912725418806 ; acc@1 : 100.0
2023-02-02 23:25:06,791 - mmcls - INFO - [117/140] Training session : 6 ; lr : 0.01319874961672813 ; loss : 0.0011093579232692719 ; acc@1 : 100.0
2023-02-02 23:25:09,155 - mmcls - INFO - [118/140] Training session : 6 ; lr : 0.012058147511014016 ; loss : 0.3338589072227478 ; acc@1 : 50.0
2023-02-02 23:25:09,155 - mmcls - INFO - loss1 0.31918731331825256 ; loss2 0.34853047132492065
2023-02-02 23:25:11,372 - mmcls - INFO - [119/140] Training session : 6 ; lr : 0.010979382307889873 ; loss : 0.0008019279921427369 ; acc@1 : 100.0
2023-02-02 23:25:14,200 - mmcls - INFO - [120/140] Training session : 6 ; lr : 0.009963038177743846 ; loss : 0.34061363339424133 ; acc@1 : 62.5
2023-02-02 23:25:14,201 - mmcls - INFO - loss1 0.3163728713989258 ; loss2 0.3648543953895569
2023-02-02 23:25:16,707 - mmcls - INFO - [121/140] Training session : 6 ; lr : 0.009009665488851761 ; loss : 0.31162333488464355 ; acc@1 : 62.5
2023-02-02 23:25:16,707 - mmcls - INFO - loss1 0.31816747784614563 ; loss2 0.30507922172546387
2023-02-02 23:25:18,965 - mmcls - INFO - [122/140] Training session : 6 ; lr : 0.008119780509343175 ; loss : 0.47200828790664673 ; acc@1 : 37.5
2023-02-02 23:25:18,965 - mmcls - INFO - loss1 0.4620876908302307 ; loss2 0.48192891478538513
2023-02-02 23:25:21,193 - mmcls - INFO - [123/140] Training session : 6 ; lr : 0.007293865127633036 ; loss : 0.0007912833243608475 ; acc@1 : 100.0
2023-02-02 23:25:23,823 - mmcls - INFO - [124/140] Training session : 6 ; lr : 0.006532366591470605 ; loss : 0.5012507438659668 ; acc@1 : 62.5
2023-02-02 23:25:23,823 - mmcls - INFO - loss1 0.48799312114715576 ; loss2 0.5145084261894226
2023-02-02 23:25:26,029 - mmcls - INFO - [125/140] Training session : 6 ; lr : 0.005835697265746804 ; loss : 0.18446168303489685 ; acc@1 : 62.5
2023-02-02 23:25:26,030 - mmcls - INFO - loss1 0.18777960538864136 ; loss2 0.18114374577999115
2023-02-02 23:25:28,421 - mmcls - INFO - [126/140] Training session : 6 ; lr : 0.0052042344091915455 ; loss : 0.3403749465942383 ; acc@1 : 62.5
2023-02-02 23:25:28,422 - mmcls - INFO - loss1 0.3321874439716339 ; loss2 0.34856247901916504
2023-02-02 23:25:31,020 - mmcls - INFO - [127/140] Training session : 6 ; lr : 0.004638319970081363 ; loss : 0.31542426347732544 ; acc@1 : 62.5
2023-02-02 23:25:31,020 - mmcls - INFO - loss1 0.3234313428401947 ; loss2 0.3074171841144562
2023-02-02 23:25:33,263 - mmcls - INFO - [128/140] Training session : 6 ; lr : 0.004138260401068321 ; loss : 0.2677689790725708 ; acc@1 : 50.0
2023-02-02 23:25:33,264 - mmcls - INFO - loss1 0.2804861068725586 ; loss2 0.2550518810749054
2023-02-02 23:25:35,651 - mmcls - INFO - [129/140] Training session : 6 ; lr : 0.0037043264932306677 ; loss : 0.24278509616851807 ; acc@1 : 62.5
2023-02-02 23:25:35,651 - mmcls - INFO - loss1 0.2498502880334854 ; loss2 0.23571990430355072
2023-02-02 23:25:37,707 - mmcls - INFO - [130/140] Training session : 6 ; lr : 0.003336753229434551 ; loss : 0.37338417768478394 ; acc@1 : 62.5
2023-02-02 23:25:37,708 - mmcls - INFO - loss1 0.36687731742858887 ; loss2 0.379891037940979
2023-02-02 23:25:39,988 - mmcls - INFO - [131/140] Training session : 6 ; lr : 0.003035739657086712 ; loss : 0.5844733715057373 ; acc@1 : 25.0
2023-02-02 23:25:39,989 - mmcls - INFO - loss1 0.5780971646308899 ; loss2 0.5908496379852295
2023-02-02 23:25:42,091 - mmcls - INFO - [132/140] Training session : 6 ; lr : 0.0028014487803467557 ; loss : 0.0018981946632266045 ; acc@1 : 100.0
2023-02-02 23:25:44,389 - mmcls - INFO - [133/140] Training session : 6 ; lr : 0.002634007471857585 ; loss : 0.0021193670108914375 ; acc@1 : 100.0
2023-02-02 23:25:46,892 - mmcls - INFO - [134/140] Training session : 6 ; lr : 0.002533506404041613 ; loss : 0.45993340015411377 ; acc@1 : 50.0
2023-02-02 23:25:46,892 - mmcls - INFO - loss1 0.45966342091560364 ; loss2 0.4602034091949463
2023-02-02 23:25:49,302 - mmcls - INFO - [135/140] Training session : 6 ; lr : 0.0025 ; loss : 0.5110586285591125 ; acc@1 : 62.5
2023-02-02 23:25:49,302 - mmcls - INFO - loss1 0.5198622345924377 ; loss2 0.5022550225257874
2023-02-02 23:25:51,508 - mmcls - INFO - [136/140] Training session : 6 ; lr : 0.00025 ; loss : 0.2612708806991577 ; acc@1 : 75.0
2023-02-02 23:25:51,508 - mmcls - INFO - loss1 0.255523145198822 ; loss2 0.2670186161994934
2023-02-02 23:25:53,778 - mmcls - INFO - [137/140] Training session : 6 ; lr : 0.00025 ; loss : 0.001002777018584311 ; acc@1 : 100.0
2023-02-02 23:25:55,870 - mmcls - INFO - [138/140] Training session : 6 ; lr : 0.00025 ; loss : 0.46967682242393494 ; acc@1 : 37.5
2023-02-02 23:25:55,870 - mmcls - INFO - loss1 0.4608481526374817 ; loss2 0.4785054922103882
2023-02-02 23:25:58,268 - mmcls - INFO - [139/140] Training session : 6 ; lr : 0.00025 ; loss : 0.44333815574645996 ; acc@1 : 62.5
2023-02-02 23:25:58,268 - mmcls - INFO - loss1 0.41365766525268555 ; loss2 0.473018616437912
2023-02-02 23:26:00,483 - mmcls - INFO - [140/140] Training session : 6 ; lr : 0.00025 ; loss : 0.37985557317733765 ; acc@1 : 50.0
2023-02-02 23:26:00,483 - mmcls - INFO - loss1 0.37056729197502136 ; loss2 0.3891438841819763
2023-02-02 23:26:00,484 - mmcls - INFO - Evaluating session 6, from 0 to 85.
2023-02-02 23:26:02,912 - mmcls - INFO - [06]Evaluation results : acc : 62.85 ; acc_base : 75.98 ; acc_inc : 31.32
2023-02-02 23:26:02,912 - mmcls - INFO - [06]Evaluation results : acc_incremental_old : 31.75 ; acc_incremental_new : 29.60
2023-02-02 23:26:02,982 - mmcls - INFO - Starting session : 7 ------------------------------------------------------------
2023-02-02 23:26:02,982 - mmcls - INFO - Newly added classes are from 85 to 90.
2023-02-02 23:26:02,982 - mmcls - INFO - Model now can classify 90 classes
2023-02-02 23:26:02,982 - mmcls - INFO - 160 steps
2023-02-02 23:26:02,982 - mmcls - INFO - Extracting mean neck feat from 60 to 85
2023-02-02 23:26:02,982 - mmcls - INFO - Copy 1 duplications.
2023-02-02 23:26:02,986 - mmcls - INFO - Session : 7 ; The dataset has 110 samples.
2023-02-02 23:26:02,986 - mmcls - INFO - Labels : [85, 85, 85, 85, 85, 86, 86, 86, 86, 86, 87, 87, 87, 87, 87, 88, 88, 88, 88, 88, 89, 89, 89, 89, 89, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 19, 39, 8, 49, 47, 53, 35, 11, 29, 28, 31, 21, 25, 48, 2, 44, 5, 57, 23, 51, 4, 26, 22, 34, 40, 27, 33, 1, 45, 37, 32, 54, 43, 3, 56, 24, 15, 42, 13, 7, 36, 41, 18, 12, 38, 52, 9, 50, 58, 16, 6, 10, 14, 20, 55, 17, 30, 59, 0, 46]
2023-02-02 23:26:05,349 - mmcls - INFO - [001/160] Training session : 7 ; lr : 0.06999288303672585 ; loss : 1.2188884019851685 ; acc@1 : 62.5
2023-02-02 23:26:05,350 - mmcls - INFO - loss1 1.2223525047302246 ; loss2 1.2154242992401123
2023-02-02 23:26:07,157 - mmcls - INFO - [002/160] Training session : 7 ; lr : 0.11495323618723638 ; loss : 1.2541378736495972 ; acc@1 : 50.0
2023-02-02 23:26:07,157 - mmcls - INFO - loss1 1.2480366230010986 ; loss2 1.2602391242980957
2023-02-02 23:26:09,729 - mmcls - INFO - [003/160] Training session : 7 ; lr : 0.15985363399054003 ; loss : 1.4921027421951294 ; acc@1 : 25.0
2023-02-02 23:26:09,730 - mmcls - INFO - loss1 1.5312033891677856 ; loss2 1.4530020952224731
2023-02-02 23:26:11,694 - mmcls - INFO - [004/160] Training session : 7 ; lr : 0.20466669064575885 ; loss : 0.4155307412147522 ; acc@1 : 75.0
2023-02-02 23:26:13,951 - mmcls - INFO - [005/160] Training session : 7 ; lr : 0.249365078769747 ; loss : 0.6006553173065186 ; acc@1 : 37.5
2023-02-02 23:26:13,952 - mmcls - INFO - loss1 0.6075824499130249 ; loss2 0.593728244304657
2023-02-02 23:26:16,189 - mmcls - INFO - [006/160] Training session : 7 ; lr : 0.2490860577300455 ; loss : 0.6419790983200073 ; acc@1 : 75.0
2023-02-02 23:26:16,189 - mmcls - INFO - loss1 0.6389749050140381 ; loss2 0.6449833512306213
2023-02-02 23:26:18,700 - mmcls - INFO - [007/160] Training session : 7 ; lr : 0.24875657667813017 ; loss : 0.707206666469574 ; acc@1 : 50.0
2023-02-02 23:26:18,701 - mmcls - INFO - loss1 0.7107203006744385 ; loss2 0.7036930322647095
2023-02-02 23:26:20,758 - mmcls - INFO - [008/160] Training session : 7 ; lr : 0.24837677096202684 ; loss : 0.6710512638092041 ; acc@1 : 37.5
2023-02-02 23:26:20,759 - mmcls - INFO - loss1 0.6119105219841003 ; loss2 0.7301920652389526
2023-02-02 23:26:22,563 - mmcls - INFO - [009/160] Training session : 7 ; lr : 0.24794679660270708 ; loss : 0.029297711327672005 ; acc@1 : 100.0
2023-02-02 23:26:24,606 - mmcls - INFO - [010/160] Training session : 7 ; lr : 0.2474668302299962 ; loss : 0.4701843857765198 ; acc@1 : 62.5
2023-02-02 23:26:24,614 - mmcls - INFO - loss1 0.49355441331863403 ; loss2 0.4468143582344055
2023-02-02 23:26:27,420 - mmcls - INFO - [011/160] Training session : 7 ; lr : 0.2469370690100153 ; loss : 0.404980331659317 ; acc@1 : 50.0
2023-02-02 23:26:27,420 - mmcls - INFO - loss1 0.4390050172805786 ; loss2 0.3709556460380554
2023-02-02 23:26:29,883 - mmcls - INFO - [012/160] Training session : 7 ; lr : 0.24635773056418694 ; loss : 0.6492362022399902 ; acc@1 : 50.0
2023-02-02 23:26:29,884 - mmcls - INFO - loss1 0.59878009557724 ; loss2 0.6996923685073853
2023-02-02 23:26:32,436 - mmcls - INFO - [013/160] Training session : 7 ; lr : 0.24572905287983832 ; loss : 0.14270710945129395 ; acc@1 : 87.5
2023-02-02 23:26:34,485 - mmcls - INFO - [014/160] Training session : 7 ; lr : 0.24505129421243782 ; loss : 0.8731269836425781 ; acc@1 : 62.5