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mw-net.out
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created virtual environment CPython3.6.10.final.0-64 in 5241ms
creator CPython3Posix(dest=/localscratch/canchen.17532849.0/env, clear=False, global=False)
seeder FromAppData(download=False, pip=latest, setuptools=latest, wheel=latest, via=copy, app_data_dir=/home/canchen/.local/share/virtualenv/seed-app-data/v1.0.1)
activators BashActivator,CShellActivator,FishActivator,PowerShellActivator,PythonActivator,XonshActivator
Ignoring pip: markers 'python_version < "3"' don't match your environment
Looking in links: /cvmfs/soft.computecanada.ca/custom/python/wheelhouse/gentoo/avx2, /cvmfs/soft.computecanada.ca/custom/python/wheelhouse/gentoo/generic, /cvmfs/soft.computecanada.ca/custom/python/wheelhouse/generic
Processing /cvmfs/soft.computecanada.ca/custom/python/wheelhouse/generic/torch-1.9.0+computecanada-cp36-cp36m-linux_x86_64.whl
Processing /cvmfs/soft.computecanada.ca/custom/python/wheelhouse/gentoo/generic/torchvision-0.9.1+computecanada-cp36-cp36m-linux_x86_64.whl
Processing /cvmfs/soft.computecanada.ca/custom/python/wheelhouse/generic/dataclasses-0.8+computecanada-py3-none-any.whl
Processing /cvmfs/soft.computecanada.ca/custom/python/wheelhouse/generic/typing_extensions-3.10.0.2+computecanada-py3-none-any.whl
Processing /cvmfs/soft.computecanada.ca/custom/python/wheelhouse/gentoo/generic/numpy-1.19.5+computecanada-cp36-cp36m-linux_x86_64.whl
Processing /cvmfs/soft.computecanada.ca/custom/python/wheelhouse/gentoo/avx2/Pillow_SIMD-7.0.0.post3+computecanada-cp36-cp36m-linux_x86_64.whl
Installing collected packages: dataclasses, typing-extensions, torch, numpy, pillow-simd, torchvision
Successfully installed dataclasses-0.8+computecanada numpy-1.19.5+computecanada pillow-simd-7.0.0.post3+computecanada torch-1.9.0+computecanada torchvision-0.9.1+computecanada typing-extensions-3.10.0.2+computecanada
Ignoring pip: markers 'python_version < "3"' don't match your environment
Looking in links: /cvmfs/soft.computecanada.ca/custom/python/wheelhouse/gentoo/avx2, /cvmfs/soft.computecanada.ca/custom/python/wheelhouse/gentoo/generic, /cvmfs/soft.computecanada.ca/custom/python/wheelhouse/generic
Processing /cvmfs/soft.computecanada.ca/custom/python/wheelhouse/gentoo/generic/matplotlib-3.3.4+computecanada-cp36-cp36m-linux_x86_64.whl
Processing /cvmfs/soft.computecanada.ca/custom/python/wheelhouse/gentoo/generic/kiwisolver-1.3.1+computecanada-cp36-cp36m-linux_x86_64.whl
Requirement already satisfied: numpy>=1.15 in /localscratch/canchen.17532849.0/env/lib/python3.6/site-packages (from matplotlib) (1.19.5+computecanada)
Processing /cvmfs/soft.computecanada.ca/custom/python/wheelhouse/generic/cycler-0.10.0+computecanada-py3-none-any.whl
Processing /cvmfs/soft.computecanada.ca/custom/python/wheelhouse/generic/pyparsing-2.4.7+computecanada-py2.py3-none-any.whl
Processing /cvmfs/soft.computecanada.ca/custom/python/wheelhouse/gentoo/generic/Pillow-8.1.2+computecanada-cp36-cp36m-linux_x86_64.whl
Processing /cvmfs/soft.computecanada.ca/custom/python/wheelhouse/generic/python_dateutil-2.8.2+computecanada-py2.py3-none-any.whl
Processing /cvmfs/soft.computecanada.ca/custom/python/wheelhouse/generic/six-1.16.0+computecanada-py2.py3-none-any.whl
Installing collected packages: kiwisolver, six, cycler, pyparsing, pillow, python-dateutil, matplotlib
Successfully installed cycler-0.10.0+computecanada kiwisolver-1.3.1+computecanada matplotlib-3.3.4+computecanada pillow-8.1.2+computecanada pyparsing-2.4.7+computecanada python-dateutil-2.8.2+computecanada six-1.16.0+computecanada
python
Namespace(augment=True, batch_size=100, clip=0.2, corruption_prob=0.4, corruption_type='unif', dataset='cifar10', epochs=80, hidden_dim=100, imb_factor=1.0, lr=0.1, mode='mw-net', momentum=0.9, num_meta=1000, outer_lr=100, prefetch=0, seed=100, weight_decay=0.0005)
Files already downloaded and verified
[100, 100, 100, 100, 100, 100, 100, 100, 100, 100]
Files already downloaded and verified
[100, 100, 100, 100, 100, 100, 100, 100, 100, 100]
[[0.64 0.04 0.04 0.04 0.04 0.04 0.04 0.04 0.04 0.04]
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[0.04 0.04 0.04 0.04 0.04 0.04 0.04 0.04 0.04 0.64]]
Files already downloaded and verified
[4900, 4900, 4900, 4900, 4900, 4900, 4900, 4900, 4900, 4900]
49000
0
/project/6028476/canchen/camera/resnet.py:196: UserWarning: nn.init.kaiming_normal is now deprecated in favor of nn.init.kaiming_normal_.
init.kaiming_normal(m.weight)
lr 0.1
Current Epoch: 0
/localscratch/canchen.17532849.0/env/lib/python3.6/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead.
warnings.warn(warning.format(ret))
/localscratch/canchen.17532849.0/env/lib/python3.6/site-packages/torch/nn/functional.py:1805: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.
warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.")
Epoch: [1/80] Iters: [1/490] Loss: 5.4223 MetaLoss:4.1923 Prec@1 15.00 Prec_meta@1 18.00
Epoch: [1/80] Iters: [51/490] Loss: 3.8772 MetaLoss:3.1792 Prec@1 8.00 Prec_meta@1 18.00
Epoch: [1/80] Iters: [101/490] Loss: 3.1547 MetaLoss:2.7680 Prec@1 9.00 Prec_meta@1 13.00
Epoch: [1/80] Iters: [151/490] Loss: 2.8569 MetaLoss:2.5728 Prec@1 17.00 Prec_meta@1 20.00
Epoch: [1/80] Iters: [201/490] Loss: 2.6992 MetaLoss:2.4561 Prec@1 18.00 Prec_meta@1 22.00
Epoch: [1/80] Iters: [251/490] Loss: 2.6011 MetaLoss:2.3767 Prec@1 23.00 Prec_meta@1 19.00
Epoch: [1/80] Iters: [301/490] Loss: 2.5337 MetaLoss:2.3177 Prec@1 26.00 Prec_meta@1 22.00
Epoch: [1/80] Iters: [351/490] Loss: 2.4814 MetaLoss:2.2683 Prec@1 32.00 Prec_meta@1 37.00
Epoch: [1/80] Iters: [401/490] Loss: 2.4414 MetaLoss:2.2299 Prec@1 34.00 Prec_meta@1 26.00
Epoch: [1/80] Iters: [451/490] Loss: 2.4080 MetaLoss:2.1937 Prec@1 37.00 Prec_meta@1 39.00
Test set: Average loss: 1.8854, Accuracy: 3391/10000 (33.9100%)
lr 0.09996145181203615
Current Epoch: 1
Epoch: [2/80] Iters: [1/490] Loss: 2.1458 MetaLoss:1.9708 Prec@1 30.00 Prec_meta@1 33.00
Epoch: [2/80] Iters: [51/490] Loss: 2.1427 MetaLoss:1.8837 Prec@1 33.00 Prec_meta@1 35.00
Epoch: [2/80] Iters: [101/490] Loss: 2.1293 MetaLoss:1.8582 Prec@1 34.00 Prec_meta@1 45.00
Epoch: [2/80] Iters: [151/490] Loss: 2.1240 MetaLoss:1.8470 Prec@1 46.00 Prec_meta@1 36.00
Epoch: [2/80] Iters: [201/490] Loss: 2.1185 MetaLoss:1.8392 Prec@1 41.00 Prec_meta@1 37.00
Epoch: [2/80] Iters: [251/490] Loss: 2.1190 MetaLoss:1.8285 Prec@1 39.00 Prec_meta@1 39.00
Epoch: [2/80] Iters: [301/490] Loss: 2.1150 MetaLoss:1.8169 Prec@1 37.00 Prec_meta@1 41.00
Epoch: [2/80] Iters: [351/490] Loss: 2.1104 MetaLoss:1.8051 Prec@1 39.00 Prec_meta@1 42.00
Epoch: [2/80] Iters: [401/490] Loss: 2.1067 MetaLoss:1.7902 Prec@1 46.00 Prec_meta@1 35.00
Epoch: [2/80] Iters: [451/490] Loss: 2.1048 MetaLoss:1.7752 Prec@1 44.00 Prec_meta@1 35.00
Test set: Average loss: 1.6422, Accuracy: 4132/10000 (41.3200%)
lr 0.0998458666866564
Current Epoch: 2
Epoch: [3/80] Iters: [1/490] Loss: 2.1741 MetaLoss:1.6562 Prec@1 38.00 Prec_meta@1 36.00
Epoch: [3/80] Iters: [51/490] Loss: 2.1098 MetaLoss:1.5793 Prec@1 37.00 Prec_meta@1 41.00
Epoch: [3/80] Iters: [101/490] Loss: 2.1223 MetaLoss:1.5615 Prec@1 39.00 Prec_meta@1 51.00
Epoch: [3/80] Iters: [151/490] Loss: 2.1407 MetaLoss:1.5540 Prec@1 42.00 Prec_meta@1 50.00
Epoch: [3/80] Iters: [201/490] Loss: 2.1508 MetaLoss:1.5390 Prec@1 43.00 Prec_meta@1 43.00
Epoch: [3/80] Iters: [251/490] Loss: 2.1551 MetaLoss:1.5298 Prec@1 46.00 Prec_meta@1 49.00
Epoch: [3/80] Iters: [301/490] Loss: 2.1592 MetaLoss:1.5155 Prec@1 52.00 Prec_meta@1 47.00
Epoch: [3/80] Iters: [351/490] Loss: 2.1550 MetaLoss:1.5037 Prec@1 46.00 Prec_meta@1 51.00
Epoch: [3/80] Iters: [401/490] Loss: 2.1605 MetaLoss:1.4864 Prec@1 49.00 Prec_meta@1 56.00
Epoch: [3/80] Iters: [451/490] Loss: 2.1606 MetaLoss:1.4759 Prec@1 58.00 Prec_meta@1 42.00
Test set: Average loss: 1.4033, Accuracy: 4962/10000 (49.6200%)
lr 0.09965342284774632
Current Epoch: 3
Epoch: [4/80] Iters: [1/490] Loss: 2.1896 MetaLoss:1.3551 Prec@1 49.00 Prec_meta@1 48.00
Epoch: [4/80] Iters: [51/490] Loss: 2.1875 MetaLoss:1.3473 Prec@1 52.00 Prec_meta@1 62.00
Epoch: [4/80] Iters: [101/490] Loss: 2.1730 MetaLoss:1.3402 Prec@1 50.00 Prec_meta@1 54.00
Epoch: [4/80] Iters: [151/490] Loss: 2.1994 MetaLoss:1.3433 Prec@1 58.00 Prec_meta@1 38.00
Epoch: [4/80] Iters: [201/490] Loss: 2.1882 MetaLoss:1.3334 Prec@1 54.00 Prec_meta@1 62.00
Epoch: [4/80] Iters: [251/490] Loss: 2.1915 MetaLoss:1.3249 Prec@1 63.00 Prec_meta@1 62.00
Epoch: [4/80] Iters: [301/490] Loss: 2.2076 MetaLoss:1.3088 Prec@1 53.00 Prec_meta@1 54.00
Epoch: [4/80] Iters: [351/490] Loss: 2.2143 MetaLoss:1.2963 Prec@1 46.00 Prec_meta@1 60.00
Epoch: [4/80] Iters: [401/490] Loss: 2.2175 MetaLoss:1.2859 Prec@1 46.00 Prec_meta@1 62.00
Epoch: [4/80] Iters: [451/490] Loss: 2.2109 MetaLoss:1.2806 Prec@1 51.00 Prec_meta@1 63.00
Test set: Average loss: 1.3776, Accuracy: 5271/10000 (52.7100%)
lr 0.0993844170297569
Current Epoch: 4
Epoch: [5/80] Iters: [1/490] Loss: 2.6495 MetaLoss:1.1667 Prec@1 56.00 Prec_meta@1 61.00
Epoch: [5/80] Iters: [51/490] Loss: 2.2950 MetaLoss:1.2057 Prec@1 66.00 Prec_meta@1 58.00
Epoch: [5/80] Iters: [101/490] Loss: 2.2289 MetaLoss:1.1952 Prec@1 55.00 Prec_meta@1 49.00
Epoch: [5/80] Iters: [151/490] Loss: 2.2768 MetaLoss:1.1730 Prec@1 58.00 Prec_meta@1 63.00
Epoch: [5/80] Iters: [201/490] Loss: 2.2601 MetaLoss:1.1766 Prec@1 65.00 Prec_meta@1 61.00
Epoch: [5/80] Iters: [251/490] Loss: 2.2623 MetaLoss:1.1724 Prec@1 67.00 Prec_meta@1 62.00
Epoch: [5/80] Iters: [301/490] Loss: 2.2659 MetaLoss:1.1697 Prec@1 53.00 Prec_meta@1 61.00
Epoch: [5/80] Iters: [351/490] Loss: 2.2759 MetaLoss:1.1653 Prec@1 60.00 Prec_meta@1 65.00
Epoch: [5/80] Iters: [401/490] Loss: 2.2641 MetaLoss:1.1613 Prec@1 66.00 Prec_meta@1 61.00
Epoch: [5/80] Iters: [451/490] Loss: 2.2897 MetaLoss:1.1547 Prec@1 62.00 Prec_meta@1 60.00
Test set: Average loss: 1.3635, Accuracy: 5362/10000 (53.6200%)
lr 0.09903926402016153
Current Epoch: 5
Epoch: [6/80] Iters: [1/490] Loss: 2.2413 MetaLoss:1.2000 Prec@1 59.00 Prec_meta@1 54.00
Epoch: [6/80] Iters: [51/490] Loss: 2.2929 MetaLoss:1.0924 Prec@1 63.00 Prec_meta@1 72.00
Epoch: [6/80] Iters: [101/490] Loss: 2.2884 MetaLoss:1.0910 Prec@1 56.00 Prec_meta@1 60.00
Epoch: [6/80] Iters: [151/490] Loss: 2.2811 MetaLoss:1.1012 Prec@1 66.00 Prec_meta@1 60.00
Epoch: [6/80] Iters: [201/490] Loss: 2.2670 MetaLoss:1.0961 Prec@1 60.00 Prec_meta@1 66.00
Epoch: [6/80] Iters: [251/490] Loss: 2.2823 MetaLoss:1.0938 Prec@1 54.00 Prec_meta@1 64.00
Epoch: [6/80] Iters: [301/490] Loss: 2.2707 MetaLoss:1.0952 Prec@1 57.00 Prec_meta@1 56.00
Epoch: [6/80] Iters: [351/490] Loss: 2.2690 MetaLoss:1.0892 Prec@1 65.00 Prec_meta@1 67.00
Epoch: [6/80] Iters: [401/490] Loss: 2.2811 MetaLoss:1.0876 Prec@1 54.00 Prec_meta@1 65.00
Epoch: [6/80] Iters: [451/490] Loss: 2.2844 MetaLoss:1.0846 Prec@1 64.00 Prec_meta@1 63.00
Test set: Average loss: 1.1857, Accuracy: 5872/10000 (58.7200%)
lr 0.09861849601988383
Current Epoch: 6
Epoch: [7/80] Iters: [1/490] Loss: 2.2074 MetaLoss:0.9700 Prec@1 63.00 Prec_meta@1 68.00
Epoch: [7/80] Iters: [51/490] Loss: 2.4009 MetaLoss:1.0596 Prec@1 65.00 Prec_meta@1 64.00
Epoch: [7/80] Iters: [101/490] Loss: 2.3481 MetaLoss:1.0561 Prec@1 66.00 Prec_meta@1 70.00
Epoch: [7/80] Iters: [151/490] Loss: 2.3812 MetaLoss:1.0485 Prec@1 61.00 Prec_meta@1 64.00
Epoch: [7/80] Iters: [201/490] Loss: 2.4188 MetaLoss:1.0373 Prec@1 62.00 Prec_meta@1 64.00
Epoch: [7/80] Iters: [251/490] Loss: 2.4156 MetaLoss:1.0355 Prec@1 63.00 Prec_meta@1 58.00
Epoch: [7/80] Iters: [301/490] Loss: 2.4172 MetaLoss:1.0317 Prec@1 68.00 Prec_meta@1 65.00
Epoch: [7/80] Iters: [351/490] Loss: 2.4100 MetaLoss:1.0290 Prec@1 52.00 Prec_meta@1 57.00
Epoch: [7/80] Iters: [401/490] Loss: 2.4119 MetaLoss:1.0297 Prec@1 73.00 Prec_meta@1 57.00
Epoch: [7/80] Iters: [451/490] Loss: 2.4055 MetaLoss:1.0275 Prec@1 62.00 Prec_meta@1 69.00
Test set: Average loss: 1.3981, Accuracy: 5128/10000 (51.2800%)
lr 0.09812276182268237
Current Epoch: 7
Epoch: [8/80] Iters: [1/490] Loss: 2.3527 MetaLoss:1.1286 Prec@1 67.00 Prec_meta@1 59.00
Epoch: [8/80] Iters: [51/490] Loss: 2.2068 MetaLoss:1.0093 Prec@1 57.00 Prec_meta@1 64.00
Epoch: [8/80] Iters: [101/490] Loss: 2.2799 MetaLoss:0.9962 Prec@1 56.00 Prec_meta@1 56.00
Epoch: [8/80] Iters: [151/490] Loss: 2.3012 MetaLoss:0.9982 Prec@1 69.00 Prec_meta@1 78.00
Epoch: [8/80] Iters: [201/490] Loss: 2.2941 MetaLoss:0.9988 Prec@1 62.00 Prec_meta@1 68.00
Epoch: [8/80] Iters: [251/490] Loss: 2.3031 MetaLoss:0.9931 Prec@1 65.00 Prec_meta@1 59.00
Epoch: [8/80] Iters: [301/490] Loss: 2.3323 MetaLoss:0.9881 Prec@1 56.00 Prec_meta@1 67.00
Epoch: [8/80] Iters: [351/490] Loss: 2.3499 MetaLoss:0.9842 Prec@1 70.00 Prec_meta@1 60.00
Epoch: [8/80] Iters: [401/490] Loss: 2.3726 MetaLoss:0.9850 Prec@1 57.00 Prec_meta@1 65.00
Epoch: [8/80] Iters: [451/490] Loss: 2.3742 MetaLoss:0.9822 Prec@1 66.00 Prec_meta@1 70.00
Test set: Average loss: 1.0556, Accuracy: 6315/10000 (63.1500%)
lr 0.09755282581475769
Current Epoch: 8
Epoch: [9/80] Iters: [1/490] Loss: 2.4016 MetaLoss:0.9038 Prec@1 64.00 Prec_meta@1 65.00
Epoch: [9/80] Iters: [51/490] Loss: 2.4170 MetaLoss:0.9268 Prec@1 68.00 Prec_meta@1 80.00
Epoch: [9/80] Iters: [101/490] Loss: 2.4070 MetaLoss:0.9359 Prec@1 70.00 Prec_meta@1 64.00
Epoch: [9/80] Iters: [151/490] Loss: 2.4380 MetaLoss:0.9454 Prec@1 64.00 Prec_meta@1 64.00
Epoch: [9/80] Iters: [201/490] Loss: 2.4481 MetaLoss:0.9424 Prec@1 66.00 Prec_meta@1 69.00
Epoch: [9/80] Iters: [251/490] Loss: 2.4516 MetaLoss:0.9399 Prec@1 66.00 Prec_meta@1 64.00
Epoch: [9/80] Iters: [301/490] Loss: 2.4489 MetaLoss:0.9321 Prec@1 70.00 Prec_meta@1 77.00
Epoch: [9/80] Iters: [351/490] Loss: 2.4445 MetaLoss:0.9274 Prec@1 73.00 Prec_meta@1 76.00
Epoch: [9/80] Iters: [401/490] Loss: 2.4368 MetaLoss:0.9236 Prec@1 70.00 Prec_meta@1 70.00
Epoch: [9/80] Iters: [451/490] Loss: 2.4322 MetaLoss:0.9201 Prec@1 73.00 Prec_meta@1 68.00
Test set: Average loss: 1.1959, Accuracy: 5995/10000 (59.9500%)
lr 0.09690956679612422
Current Epoch: 9
Epoch: [10/80] Iters: [1/490] Loss: 2.2436 MetaLoss:0.7757 Prec@1 82.00 Prec_meta@1 75.00
Epoch: [10/80] Iters: [51/490] Loss: 2.4421 MetaLoss:0.9362 Prec@1 61.00 Prec_meta@1 68.00
Epoch: [10/80] Iters: [101/490] Loss: 2.3543 MetaLoss:0.9304 Prec@1 74.00 Prec_meta@1 59.00
Epoch: [10/80] Iters: [151/490] Loss: 2.3944 MetaLoss:0.9192 Prec@1 67.00 Prec_meta@1 76.00
Epoch: [10/80] Iters: [201/490] Loss: 2.4045 MetaLoss:0.9184 Prec@1 66.00 Prec_meta@1 72.00
Epoch: [10/80] Iters: [251/490] Loss: 2.4061 MetaLoss:0.9151 Prec@1 68.00 Prec_meta@1 67.00
Epoch: [10/80] Iters: [301/490] Loss: 2.4295 MetaLoss:0.9047 Prec@1 63.00 Prec_meta@1 76.00
Epoch: [10/80] Iters: [351/490] Loss: 2.4353 MetaLoss:0.8990 Prec@1 63.00 Prec_meta@1 72.00
Epoch: [10/80] Iters: [401/490] Loss: 2.4297 MetaLoss:0.8970 Prec@1 67.00 Prec_meta@1 70.00
Epoch: [10/80] Iters: [451/490] Loss: 2.4375 MetaLoss:0.8946 Prec@1 72.00 Prec_meta@1 60.00
Test set: Average loss: 1.2196, Accuracy: 5788/10000 (57.8800%)
lr 0.09619397662556434
Current Epoch: 10
Epoch: [11/80] Iters: [1/490] Loss: 2.3886 MetaLoss:0.7935 Prec@1 69.00 Prec_meta@1 72.00
Epoch: [11/80] Iters: [51/490] Loss: 2.4326 MetaLoss:0.8816 Prec@1 62.00 Prec_meta@1 74.00
Epoch: [11/80] Iters: [101/490] Loss: 2.4026 MetaLoss:0.8727 Prec@1 71.00 Prec_meta@1 68.00
Epoch: [11/80] Iters: [151/490] Loss: 2.4360 MetaLoss:0.8769 Prec@1 71.00 Prec_meta@1 66.00
Epoch: [11/80] Iters: [201/490] Loss: 2.4224 MetaLoss:0.8769 Prec@1 73.00 Prec_meta@1 59.00
Epoch: [11/80] Iters: [251/490] Loss: 2.4507 MetaLoss:0.8719 Prec@1 66.00 Prec_meta@1 65.00
Epoch: [11/80] Iters: [301/490] Loss: 2.4610 MetaLoss:0.8673 Prec@1 75.00 Prec_meta@1 68.00
Epoch: [11/80] Iters: [351/490] Loss: 2.4648 MetaLoss:0.8667 Prec@1 66.00 Prec_meta@1 72.00
Epoch: [11/80] Iters: [401/490] Loss: 2.4769 MetaLoss:0.8661 Prec@1 73.00 Prec_meta@1 71.00
Epoch: [11/80] Iters: [451/490] Loss: 2.4804 MetaLoss:0.8652 Prec@1 69.00 Prec_meta@1 75.00
Test set: Average loss: 0.9291, Accuracy: 6832/10000 (68.3200%)
lr 0.09540715869125407
Current Epoch: 11
Epoch: [12/80] Iters: [1/490] Loss: 2.8213 MetaLoss:0.7590 Prec@1 72.00 Prec_meta@1 76.00
Epoch: [12/80] Iters: [51/490] Loss: 2.5886 MetaLoss:0.8185 Prec@1 71.00 Prec_meta@1 74.00
Epoch: [12/80] Iters: [101/490] Loss: 2.5723 MetaLoss:0.8372 Prec@1 62.00 Prec_meta@1 70.00
Epoch: [12/80] Iters: [151/490] Loss: 2.4676 MetaLoss:0.8449 Prec@1 65.00 Prec_meta@1 77.00
Epoch: [12/80] Iters: [201/490] Loss: 2.4593 MetaLoss:0.8481 Prec@1 71.00 Prec_meta@1 73.00
Epoch: [12/80] Iters: [251/490] Loss: 2.4422 MetaLoss:0.8489 Prec@1 72.00 Prec_meta@1 74.00
Epoch: [12/80] Iters: [301/490] Loss: 2.4480 MetaLoss:0.8440 Prec@1 69.00 Prec_meta@1 69.00
Epoch: [12/80] Iters: [351/490] Loss: 2.4659 MetaLoss:0.8380 Prec@1 76.00 Prec_meta@1 70.00
Epoch: [12/80] Iters: [401/490] Loss: 2.4780 MetaLoss:0.8382 Prec@1 78.00 Prec_meta@1 64.00
Epoch: [12/80] Iters: [451/490] Loss: 2.4859 MetaLoss:0.8421 Prec@1 73.00 Prec_meta@1 72.00
Test set: Average loss: 1.0312, Accuracy: 6465/10000 (64.6500%)
lr 0.09455032620941839
Current Epoch: 12
Epoch: [13/80] Iters: [1/490] Loss: 2.3010 MetaLoss:0.8185 Prec@1 71.00 Prec_meta@1 72.00
Epoch: [13/80] Iters: [51/490] Loss: 2.2954 MetaLoss:0.8163 Prec@1 73.00 Prec_meta@1 72.00
Epoch: [13/80] Iters: [101/490] Loss: 2.4201 MetaLoss:0.8106 Prec@1 76.00 Prec_meta@1 71.00
Epoch: [13/80] Iters: [151/490] Loss: 2.4278 MetaLoss:0.8030 Prec@1 75.00 Prec_meta@1 70.00
Epoch: [13/80] Iters: [201/490] Loss: 2.4445 MetaLoss:0.8075 Prec@1 69.00 Prec_meta@1 75.00
Epoch: [13/80] Iters: [251/490] Loss: 2.4627 MetaLoss:0.8041 Prec@1 75.00 Prec_meta@1 74.00
Epoch: [13/80] Iters: [301/490] Loss: 2.4924 MetaLoss:0.8042 Prec@1 74.00 Prec_meta@1 63.00
Epoch: [13/80] Iters: [351/490] Loss: 2.5183 MetaLoss:0.8044 Prec@1 73.00 Prec_meta@1 74.00
Epoch: [13/80] Iters: [401/490] Loss: 2.5147 MetaLoss:0.8092 Prec@1 74.00 Prec_meta@1 77.00
Epoch: [13/80] Iters: [451/490] Loss: 2.5026 MetaLoss:0.8089 Prec@1 74.00 Prec_meta@1 77.00
Test set: Average loss: 0.9006, Accuracy: 6891/10000 (68.9100%)
lr 0.09362480035363986
Current Epoch: 13
Epoch: [14/80] Iters: [1/490] Loss: 2.5996 MetaLoss:0.8887 Prec@1 70.00 Prec_meta@1 66.00
Epoch: [14/80] Iters: [51/490] Loss: 2.5663 MetaLoss:0.7745 Prec@1 70.00 Prec_meta@1 82.00
Epoch: [14/80] Iters: [101/490] Loss: 2.6171 MetaLoss:0.7902 Prec@1 80.00 Prec_meta@1 78.00
Epoch: [14/80] Iters: [151/490] Loss: 2.6182 MetaLoss:0.7975 Prec@1 75.00 Prec_meta@1 68.00
Epoch: [14/80] Iters: [201/490] Loss: 2.5708 MetaLoss:0.8059 Prec@1 69.00 Prec_meta@1 71.00
Epoch: [14/80] Iters: [251/490] Loss: 2.5513 MetaLoss:0.8059 Prec@1 71.00 Prec_meta@1 74.00
Epoch: [14/80] Iters: [301/490] Loss: 2.5564 MetaLoss:0.8037 Prec@1 58.00 Prec_meta@1 70.00
Epoch: [14/80] Iters: [351/490] Loss: 2.5603 MetaLoss:0.8052 Prec@1 80.00 Prec_meta@1 64.00
Epoch: [14/80] Iters: [401/490] Loss: 2.5612 MetaLoss:0.8069 Prec@1 67.00 Prec_meta@1 62.00
Epoch: [14/80] Iters: [451/490] Loss: 2.5603 MetaLoss:0.8029 Prec@1 80.00 Prec_meta@1 79.00
Test set: Average loss: 1.0424, Accuracy: 6580/10000 (65.8000%)
lr 0.09263200821770462
Current Epoch: 14
Epoch: [15/80] Iters: [1/490] Loss: 2.5111 MetaLoss:0.7552 Prec@1 68.00 Prec_meta@1 74.00
Epoch: [15/80] Iters: [51/490] Loss: 2.5820 MetaLoss:0.8369 Prec@1 76.00 Prec_meta@1 68.00
Epoch: [15/80] Iters: [101/490] Loss: 2.5205 MetaLoss:0.7999 Prec@1 76.00 Prec_meta@1 72.00
Epoch: [15/80] Iters: [151/490] Loss: 2.5453 MetaLoss:0.7949 Prec@1 70.00 Prec_meta@1 76.00
Epoch: [15/80] Iters: [201/490] Loss: 2.5785 MetaLoss:0.7939 Prec@1 69.00 Prec_meta@1 70.00
Epoch: [15/80] Iters: [251/490] Loss: 2.5672 MetaLoss:0.7909 Prec@1 78.00 Prec_meta@1 74.00
Epoch: [15/80] Iters: [301/490] Loss: 2.5766 MetaLoss:0.7929 Prec@1 73.00 Prec_meta@1 79.00
Epoch: [15/80] Iters: [351/490] Loss: 2.5953 MetaLoss:0.7876 Prec@1 70.00 Prec_meta@1 71.00
Epoch: [15/80] Iters: [401/490] Loss: 2.6119 MetaLoss:0.7855 Prec@1 69.00 Prec_meta@1 77.00
Epoch: [15/80] Iters: [451/490] Loss: 2.6204 MetaLoss:0.7887 Prec@1 69.00 Prec_meta@1 71.00
Test set: Average loss: 0.8030, Accuracy: 7249/10000 (72.4900%)
lr 0.09157348061512727
Current Epoch: 15
Epoch: [16/80] Iters: [1/490] Loss: 2.4489 MetaLoss:0.8223 Prec@1 67.00 Prec_meta@1 69.00
Epoch: [16/80] Iters: [51/490] Loss: 2.5508 MetaLoss:0.7487 Prec@1 77.00 Prec_meta@1 79.00
Epoch: [16/80] Iters: [101/490] Loss: 2.6248 MetaLoss:0.7615 Prec@1 71.00 Prec_meta@1 70.00
Epoch: [16/80] Iters: [151/490] Loss: 2.6549 MetaLoss:0.7719 Prec@1 67.00 Prec_meta@1 75.00
Epoch: [16/80] Iters: [201/490] Loss: 2.5867 MetaLoss:0.7903 Prec@1 82.00 Prec_meta@1 75.00
Epoch: [16/80] Iters: [251/490] Loss: 2.5816 MetaLoss:0.7856 Prec@1 72.00 Prec_meta@1 75.00
Epoch: [16/80] Iters: [301/490] Loss: 2.5969 MetaLoss:0.7857 Prec@1 75.00 Prec_meta@1 74.00
Epoch: [16/80] Iters: [351/490] Loss: 2.5968 MetaLoss:0.7880 Prec@1 74.00 Prec_meta@1 74.00
Epoch: [16/80] Iters: [401/490] Loss: 2.5980 MetaLoss:0.7846 Prec@1 76.00 Prec_meta@1 75.00
Epoch: [16/80] Iters: [451/490] Loss: 2.5991 MetaLoss:0.7821 Prec@1 74.00 Prec_meta@1 67.00
Test set: Average loss: 0.8897, Accuracy: 7029/10000 (70.2900%)
lr 0.09045084971874738
Current Epoch: 16
Epoch: [17/80] Iters: [1/490] Loss: 3.0153 MetaLoss:0.7476 Prec@1 68.00 Prec_meta@1 73.00
Epoch: [17/80] Iters: [51/490] Loss: 2.8485 MetaLoss:0.7597 Prec@1 79.00 Prec_meta@1 75.00
Epoch: [17/80] Iters: [101/490] Loss: 2.7504 MetaLoss:0.7736 Prec@1 72.00 Prec_meta@1 72.00
Epoch: [17/80] Iters: [151/490] Loss: 2.6734 MetaLoss:0.7726 Prec@1 67.00 Prec_meta@1 72.00
Epoch: [17/80] Iters: [201/490] Loss: 2.6257 MetaLoss:0.7698 Prec@1 68.00 Prec_meta@1 77.00
Epoch: [17/80] Iters: [251/490] Loss: 2.6401 MetaLoss:0.7661 Prec@1 72.00 Prec_meta@1 82.00
Epoch: [17/80] Iters: [301/490] Loss: 2.6465 MetaLoss:0.7703 Prec@1 78.00 Prec_meta@1 74.00
Epoch: [17/80] Iters: [351/490] Loss: 2.6222 MetaLoss:0.7709 Prec@1 77.00 Prec_meta@1 78.00
Epoch: [17/80] Iters: [401/490] Loss: 2.6002 MetaLoss:0.7696 Prec@1 77.00 Prec_meta@1 67.00
Epoch: [17/80] Iters: [451/490] Loss: 2.6115 MetaLoss:0.7681 Prec@1 72.00 Prec_meta@1 69.00
Test set: Average loss: 0.8847, Accuracy: 7006/10000 (70.0600%)
lr 0.08926584654403724
Current Epoch: 17
Epoch: [18/80] Iters: [1/490] Loss: 2.9642 MetaLoss:0.6714 Prec@1 73.00 Prec_meta@1 75.00
Epoch: [18/80] Iters: [51/490] Loss: 2.6635 MetaLoss:0.7708 Prec@1 82.00 Prec_meta@1 75.00
Epoch: [18/80] Iters: [101/490] Loss: 2.5645 MetaLoss:0.7513 Prec@1 71.00 Prec_meta@1 84.00
Epoch: [18/80] Iters: [151/490] Loss: 2.5850 MetaLoss:0.7468 Prec@1 71.00 Prec_meta@1 77.00
Epoch: [18/80] Iters: [201/490] Loss: 2.5588 MetaLoss:0.7575 Prec@1 77.00 Prec_meta@1 77.00
Epoch: [18/80] Iters: [251/490] Loss: 2.5245 MetaLoss:0.7638 Prec@1 78.00 Prec_meta@1 73.00
Epoch: [18/80] Iters: [301/490] Loss: 2.5280 MetaLoss:0.7625 Prec@1 73.00 Prec_meta@1 78.00
Epoch: [18/80] Iters: [351/490] Loss: 2.5356 MetaLoss:0.7628 Prec@1 73.00 Prec_meta@1 79.00
Epoch: [18/80] Iters: [401/490] Loss: 2.5416 MetaLoss:0.7616 Prec@1 73.00 Prec_meta@1 74.00
Epoch: [18/80] Iters: [451/490] Loss: 2.5457 MetaLoss:0.7639 Prec@1 84.00 Prec_meta@1 76.00
Test set: Average loss: 0.8986, Accuracy: 6960/10000 (69.6000%)
lr 0.08802029828000156
Current Epoch: 18
Epoch: [19/80] Iters: [1/490] Loss: 2.1530 MetaLoss:0.7381 Prec@1 69.00 Prec_meta@1 74.00
Epoch: [19/80] Iters: [51/490] Loss: 2.6262 MetaLoss:0.7503 Prec@1 72.00 Prec_meta@1 77.00
Epoch: [19/80] Iters: [101/490] Loss: 2.6083 MetaLoss:0.7426 Prec@1 77.00 Prec_meta@1 75.00
Epoch: [19/80] Iters: [151/490] Loss: 2.6127 MetaLoss:0.7434 Prec@1 77.00 Prec_meta@1 72.00
Epoch: [19/80] Iters: [201/490] Loss: 2.5902 MetaLoss:0.7483 Prec@1 74.00 Prec_meta@1 77.00
Epoch: [19/80] Iters: [251/490] Loss: 2.5885 MetaLoss:0.7477 Prec@1 75.00 Prec_meta@1 69.00
Epoch: [19/80] Iters: [301/490] Loss: 2.6018 MetaLoss:0.7443 Prec@1 73.00 Prec_meta@1 76.00
Epoch: [19/80] Iters: [351/490] Loss: 2.6407 MetaLoss:0.7461 Prec@1 75.00 Prec_meta@1 75.00
Epoch: [19/80] Iters: [401/490] Loss: 2.6614 MetaLoss:0.7440 Prec@1 72.00 Prec_meta@1 74.00
Epoch: [19/80] Iters: [451/490] Loss: 2.6682 MetaLoss:0.7440 Prec@1 72.00 Prec_meta@1 76.00
Test set: Average loss: 0.8614, Accuracy: 7049/10000 (70.4900%)
lr 0.08671612547178428
Current Epoch: 19
Epoch: [20/80] Iters: [1/490] Loss: 2.5582 MetaLoss:0.8143 Prec@1 73.00 Prec_meta@1 71.00
Epoch: [20/80] Iters: [51/490] Loss: 2.5793 MetaLoss:0.7339 Prec@1 67.00 Prec_meta@1 79.00
Epoch: [20/80] Iters: [101/490] Loss: 2.5974 MetaLoss:0.7184 Prec@1 76.00 Prec_meta@1 75.00
Epoch: [20/80] Iters: [151/490] Loss: 2.6627 MetaLoss:0.7307 Prec@1 74.00 Prec_meta@1 78.00
Epoch: [20/80] Iters: [201/490] Loss: 2.6284 MetaLoss:0.7355 Prec@1 75.00 Prec_meta@1 66.00
Epoch: [20/80] Iters: [251/490] Loss: 2.6195 MetaLoss:0.7344 Prec@1 76.00 Prec_meta@1 72.00
Epoch: [20/80] Iters: [301/490] Loss: 2.6119 MetaLoss:0.7347 Prec@1 74.00 Prec_meta@1 78.00
Epoch: [20/80] Iters: [351/490] Loss: 2.6116 MetaLoss:0.7400 Prec@1 74.00 Prec_meta@1 73.00
Epoch: [20/80] Iters: [401/490] Loss: 2.5805 MetaLoss:0.7468 Prec@1 72.00 Prec_meta@1 81.00
Epoch: [20/80] Iters: [451/490] Loss: 2.5634 MetaLoss:0.7443 Prec@1 79.00 Prec_meta@1 82.00
Test set: Average loss: 1.1311, Accuracy: 6411/10000 (64.1100%)
lr 0.08535533905932738
Current Epoch: 20
Epoch: [21/80] Iters: [1/490] Loss: 2.3543 MetaLoss:0.6477 Prec@1 73.00 Prec_meta@1 77.00
Epoch: [21/80] Iters: [51/490] Loss: 2.6025 MetaLoss:0.6919 Prec@1 74.00 Prec_meta@1 77.00
Epoch: [21/80] Iters: [101/490] Loss: 2.6286 MetaLoss:0.7001 Prec@1 79.00 Prec_meta@1 77.00
Epoch: [21/80] Iters: [151/490] Loss: 2.6659 MetaLoss:0.7066 Prec@1 81.00 Prec_meta@1 85.00
Epoch: [21/80] Iters: [201/490] Loss: 2.6580 MetaLoss:0.7131 Prec@1 68.00 Prec_meta@1 72.00
Epoch: [21/80] Iters: [251/490] Loss: 2.6306 MetaLoss:0.7142 Prec@1 78.00 Prec_meta@1 75.00
Epoch: [21/80] Iters: [301/490] Loss: 2.6244 MetaLoss:0.7101 Prec@1 84.00 Prec_meta@1 79.00
Epoch: [21/80] Iters: [351/490] Loss: 2.6317 MetaLoss:0.7076 Prec@1 75.00 Prec_meta@1 84.00
Epoch: [21/80] Iters: [401/490] Loss: 2.6348 MetaLoss:0.7105 Prec@1 73.00 Prec_meta@1 71.00
Epoch: [21/80] Iters: [451/490] Loss: 2.6691 MetaLoss:0.7124 Prec@1 76.00 Prec_meta@1 72.00
Test set: Average loss: 0.8181, Accuracy: 7220/10000 (72.2000%)
lr 0.0839400372766471
Current Epoch: 21
Epoch: [22/80] Iters: [1/490] Loss: 1.9756 MetaLoss:0.6879 Prec@1 71.00 Prec_meta@1 77.00
Epoch: [22/80] Iters: [51/490] Loss: 2.5193 MetaLoss:0.7349 Prec@1 77.00 Prec_meta@1 75.00
Epoch: [22/80] Iters: [101/490] Loss: 2.5370 MetaLoss:0.7239 Prec@1 77.00 Prec_meta@1 79.00
Epoch: [22/80] Iters: [151/490] Loss: 2.5933 MetaLoss:0.7108 Prec@1 77.00 Prec_meta@1 84.00
Epoch: [22/80] Iters: [201/490] Loss: 2.6133 MetaLoss:0.7188 Prec@1 72.00 Prec_meta@1 75.00
Epoch: [22/80] Iters: [251/490] Loss: 2.6283 MetaLoss:0.7139 Prec@1 76.00 Prec_meta@1 76.00
Epoch: [22/80] Iters: [301/490] Loss: 2.6480 MetaLoss:0.7122 Prec@1 72.00 Prec_meta@1 66.00
Epoch: [22/80] Iters: [351/490] Loss: 2.6536 MetaLoss:0.7091 Prec@1 73.00 Prec_meta@1 74.00
Epoch: [22/80] Iters: [401/490] Loss: 2.6384 MetaLoss:0.7065 Prec@1 76.00 Prec_meta@1 79.00
Epoch: [22/80] Iters: [451/490] Loss: 2.6142 MetaLoss:0.7049 Prec@1 84.00 Prec_meta@1 75.00
Test set: Average loss: 0.8681, Accuracy: 7079/10000 (70.7900%)
lr 0.0824724024165092
Current Epoch: 22
Epoch: [23/80] Iters: [1/490] Loss: 2.9114 MetaLoss:0.6921 Prec@1 75.00 Prec_meta@1 77.00
Epoch: [23/80] Iters: [51/490] Loss: 2.6767 MetaLoss:0.6722 Prec@1 71.00 Prec_meta@1 76.00
Epoch: [23/80] Iters: [101/490] Loss: 2.7001 MetaLoss:0.6772 Prec@1 78.00 Prec_meta@1 74.00
Epoch: [23/80] Iters: [151/490] Loss: 2.6957 MetaLoss:0.6771 Prec@1 70.00 Prec_meta@1 78.00
Epoch: [23/80] Iters: [201/490] Loss: 2.7167 MetaLoss:0.6788 Prec@1 73.00 Prec_meta@1 83.00
Epoch: [23/80] Iters: [251/490] Loss: 2.7590 MetaLoss:0.6800 Prec@1 68.00 Prec_meta@1 82.00
Epoch: [23/80] Iters: [301/490] Loss: 2.7840 MetaLoss:0.6878 Prec@1 73.00 Prec_meta@1 71.00
Epoch: [23/80] Iters: [351/490] Loss: 2.7749 MetaLoss:0.6908 Prec@1 66.00 Prec_meta@1 73.00
Epoch: [23/80] Iters: [401/490] Loss: 2.7576 MetaLoss:0.6918 Prec@1 75.00 Prec_meta@1 83.00
Epoch: [23/80] Iters: [451/490] Loss: 2.7352 MetaLoss:0.6944 Prec@1 70.00 Prec_meta@1 72.00
Test set: Average loss: 1.0236, Accuracy: 6695/10000 (66.9500%)
lr 0.0809546974654917
Current Epoch: 23
Epoch: [24/80] Iters: [1/490] Loss: 2.8038 MetaLoss:0.6350 Prec@1 82.00 Prec_meta@1 79.00
Epoch: [24/80] Iters: [51/490] Loss: 2.5477 MetaLoss:0.6989 Prec@1 71.00 Prec_meta@1 75.00
Epoch: [24/80] Iters: [101/490] Loss: 2.6321 MetaLoss:0.6836 Prec@1 75.00 Prec_meta@1 80.00
Epoch: [24/80] Iters: [151/490] Loss: 2.6779 MetaLoss:0.6927 Prec@1 74.00 Prec_meta@1 81.00
Epoch: [24/80] Iters: [201/490] Loss: 2.6886 MetaLoss:0.6920 Prec@1 69.00 Prec_meta@1 80.00
Epoch: [24/80] Iters: [251/490] Loss: 2.6376 MetaLoss:0.6982 Prec@1 76.00 Prec_meta@1 71.00
Epoch: [24/80] Iters: [301/490] Loss: 2.6465 MetaLoss:0.6973 Prec@1 66.00 Prec_meta@1 76.00
Epoch: [24/80] Iters: [351/490] Loss: 2.6403 MetaLoss:0.6972 Prec@1 67.00 Prec_meta@1 76.00
Epoch: [24/80] Iters: [401/490] Loss: 2.6255 MetaLoss:0.6944 Prec@1 73.00 Prec_meta@1 79.00
Epoch: [24/80] Iters: [451/490] Loss: 2.6522 MetaLoss:0.6894 Prec@1 76.00 Prec_meta@1 78.00
Test set: Average loss: 1.2906, Accuracy: 5872/10000 (58.7200%)
lr 0.07938926261462366
Current Epoch: 24
Epoch: [25/80] Iters: [1/490] Loss: 2.7265 MetaLoss:0.8889 Prec@1 70.00 Prec_meta@1 68.00
Epoch: [25/80] Iters: [51/490] Loss: 2.6342 MetaLoss:0.7179 Prec@1 76.00 Prec_meta@1 79.00
Epoch: [25/80] Iters: [101/490] Loss: 2.6487 MetaLoss:0.7105 Prec@1 80.00 Prec_meta@1 76.00
Epoch: [25/80] Iters: [151/490] Loss: 2.6832 MetaLoss:0.7084 Prec@1 71.00 Prec_meta@1 73.00
Epoch: [25/80] Iters: [201/490] Loss: 2.6951 MetaLoss:0.7084 Prec@1 79.00 Prec_meta@1 70.00
Epoch: [25/80] Iters: [251/490] Loss: 2.7032 MetaLoss:0.7044 Prec@1 83.00 Prec_meta@1 73.00
Epoch: [25/80] Iters: [301/490] Loss: 2.7270 MetaLoss:0.7010 Prec@1 78.00 Prec_meta@1 73.00
Epoch: [25/80] Iters: [351/490] Loss: 2.7281 MetaLoss:0.6982 Prec@1 83.00 Prec_meta@1 74.00
Epoch: [25/80] Iters: [401/490] Loss: 2.7466 MetaLoss:0.6947 Prec@1 76.00 Prec_meta@1 82.00
Epoch: [25/80] Iters: [451/490] Loss: 2.7484 MetaLoss:0.6905 Prec@1 78.00 Prec_meta@1 73.00
Test set: Average loss: 0.7257, Accuracy: 7542/10000 (75.4200%)
lr 0.07777851165098011
Current Epoch: 25
Epoch: [26/80] Iters: [1/490] Loss: 2.8203 MetaLoss:0.7237 Prec@1 79.00 Prec_meta@1 76.00
Epoch: [26/80] Iters: [51/490] Loss: 2.8145 MetaLoss:0.6794 Prec@1 77.00 Prec_meta@1 78.00
Epoch: [26/80] Iters: [101/490] Loss: 2.8333 MetaLoss:0.6694 Prec@1 75.00 Prec_meta@1 74.00
Epoch: [26/80] Iters: [151/490] Loss: 2.8377 MetaLoss:0.6781 Prec@1 69.00 Prec_meta@1 78.00
Epoch: [26/80] Iters: [201/490] Loss: 2.7628 MetaLoss:0.6876 Prec@1 79.00 Prec_meta@1 79.00
Epoch: [26/80] Iters: [251/490] Loss: 2.7506 MetaLoss:0.6865 Prec@1 78.00 Prec_meta@1 67.00
Epoch: [26/80] Iters: [301/490] Loss: 2.7340 MetaLoss:0.6839 Prec@1 78.00 Prec_meta@1 82.00
Epoch: [26/80] Iters: [351/490] Loss: 2.7173 MetaLoss:0.6787 Prec@1 72.00 Prec_meta@1 72.00
Epoch: [26/80] Iters: [401/490] Loss: 2.7180 MetaLoss:0.6797 Prec@1 84.00 Prec_meta@1 75.00
Epoch: [26/80] Iters: [451/490] Loss: 2.7176 MetaLoss:0.6772 Prec@1 72.00 Prec_meta@1 75.00
Test set: Average loss: 0.8610, Accuracy: 7177/10000 (71.7700%)
lr 0.07612492823579745
Current Epoch: 26
Epoch: [27/80] Iters: [1/490] Loss: 2.1736 MetaLoss:0.6190 Prec@1 70.00 Prec_meta@1 77.00
Epoch: [27/80] Iters: [51/490] Loss: 2.7913 MetaLoss:0.6569 Prec@1 77.00 Prec_meta@1 77.00
Epoch: [27/80] Iters: [101/490] Loss: 2.7400 MetaLoss:0.6573 Prec@1 82.00 Prec_meta@1 76.00
Epoch: [27/80] Iters: [151/490] Loss: 2.6935 MetaLoss:0.6520 Prec@1 81.00 Prec_meta@1 81.00
Epoch: [27/80] Iters: [201/490] Loss: 2.7170 MetaLoss:0.6485 Prec@1 76.00 Prec_meta@1 78.00
Epoch: [27/80] Iters: [251/490] Loss: 2.7378 MetaLoss:0.6548 Prec@1 76.00 Prec_meta@1 80.00
Epoch: [27/80] Iters: [301/490] Loss: 2.7498 MetaLoss:0.6580 Prec@1 71.00 Prec_meta@1 76.00
Epoch: [27/80] Iters: [351/490] Loss: 2.7395 MetaLoss:0.6616 Prec@1 67.00 Prec_meta@1 74.00
Epoch: [27/80] Iters: [401/490] Loss: 2.7238 MetaLoss:0.6591 Prec@1 76.00 Prec_meta@1 73.00
Epoch: [27/80] Iters: [451/490] Loss: 2.7259 MetaLoss:0.6592 Prec@1 83.00 Prec_meta@1 74.00
Test set: Average loss: 0.6913, Accuracy: 7686/10000 (76.8600%)
lr 0.07443106207484776
Current Epoch: 27
Epoch: [28/80] Iters: [1/490] Loss: 2.7876 MetaLoss:0.7878 Prec@1 82.00 Prec_meta@1 71.00
Epoch: [28/80] Iters: [51/490] Loss: 2.5359 MetaLoss:0.6795 Prec@1 81.00 Prec_meta@1 75.00
Epoch: [28/80] Iters: [101/490] Loss: 2.5428 MetaLoss:0.6680 Prec@1 75.00 Prec_meta@1 80.00
Epoch: [28/80] Iters: [151/490] Loss: 2.6128 MetaLoss:0.6719 Prec@1 81.00 Prec_meta@1 71.00
Epoch: [28/80] Iters: [201/490] Loss: 2.6695 MetaLoss:0.6709 Prec@1 79.00 Prec_meta@1 82.00
Epoch: [28/80] Iters: [251/490] Loss: 2.6634 MetaLoss:0.6719 Prec@1 74.00 Prec_meta@1 78.00
Epoch: [28/80] Iters: [301/490] Loss: 2.6397 MetaLoss:0.6690 Prec@1 72.00 Prec_meta@1 81.00
Epoch: [28/80] Iters: [351/490] Loss: 2.6418 MetaLoss:0.6644 Prec@1 80.00 Prec_meta@1 79.00
Epoch: [28/80] Iters: [401/490] Loss: 2.6528 MetaLoss:0.6620 Prec@1 75.00 Prec_meta@1 78.00
Epoch: [28/80] Iters: [451/490] Loss: 2.6584 MetaLoss:0.6662 Prec@1 74.00 Prec_meta@1 73.00
Test set: Average loss: 0.7897, Accuracy: 7385/10000 (73.8500%)
lr 0.07269952498697733
Current Epoch: 28
Epoch: [29/80] Iters: [1/490] Loss: 2.1663 MetaLoss:0.6583 Prec@1 69.00 Prec_meta@1 73.00
Epoch: [29/80] Iters: [51/490] Loss: 2.6646 MetaLoss:0.6461 Prec@1 71.00 Prec_meta@1 80.00
Epoch: [29/80] Iters: [101/490] Loss: 2.6044 MetaLoss:0.6507 Prec@1 87.00 Prec_meta@1 80.00
Epoch: [29/80] Iters: [151/490] Loss: 2.6413 MetaLoss:0.6530 Prec@1 69.00 Prec_meta@1 74.00
Epoch: [29/80] Iters: [201/490] Loss: 2.6465 MetaLoss:0.6430 Prec@1 77.00 Prec_meta@1 66.00
Epoch: [29/80] Iters: [251/490] Loss: 2.6953 MetaLoss:0.6371 Prec@1 80.00 Prec_meta@1 73.00
Epoch: [29/80] Iters: [301/490] Loss: 2.7122 MetaLoss:0.6454 Prec@1 75.00 Prec_meta@1 77.00
Epoch: [29/80] Iters: [351/490] Loss: 2.7283 MetaLoss:0.6501 Prec@1 74.00 Prec_meta@1 76.00
Epoch: [29/80] Iters: [401/490] Loss: 2.7448 MetaLoss:0.6540 Prec@1 79.00 Prec_meta@1 78.00
Epoch: [29/80] Iters: [451/490] Loss: 2.7630 MetaLoss:0.6578 Prec@1 76.00 Prec_meta@1 73.00
Test set: Average loss: 0.7160, Accuracy: 7590/10000 (75.9000%)
lr 0.07093298687687141
Current Epoch: 29
Epoch: [30/80] Iters: [1/490] Loss: 3.0973 MetaLoss:0.6430 Prec@1 78.00 Prec_meta@1 79.00
Epoch: [30/80] Iters: [51/490] Loss: 2.9109 MetaLoss:0.6597 Prec@1 75.00 Prec_meta@1 75.00
Epoch: [30/80] Iters: [101/490] Loss: 2.8555 MetaLoss:0.6555 Prec@1 73.00 Prec_meta@1 86.00
Epoch: [30/80] Iters: [151/490] Loss: 2.8230 MetaLoss:0.6551 Prec@1 76.00 Prec_meta@1 82.00
Epoch: [30/80] Iters: [201/490] Loss: 2.8024 MetaLoss:0.6512 Prec@1 83.00 Prec_meta@1 86.00
Epoch: [30/80] Iters: [251/490] Loss: 2.7930 MetaLoss:0.6493 Prec@1 87.00 Prec_meta@1 72.00
Epoch: [30/80] Iters: [301/490] Loss: 2.7695 MetaLoss:0.6505 Prec@1 80.00 Prec_meta@1 74.00
Epoch: [30/80] Iters: [351/490] Loss: 2.7480 MetaLoss:0.6477 Prec@1 68.00 Prec_meta@1 86.00
Epoch: [30/80] Iters: [401/490] Loss: 2.7648 MetaLoss:0.6441 Prec@1 70.00 Prec_meta@1 80.00
Epoch: [30/80] Iters: [451/490] Loss: 2.7630 MetaLoss:0.6479 Prec@1 70.00 Prec_meta@1 77.00
Test set: Average loss: 0.7465, Accuracy: 7467/10000 (74.6700%)
lr 0.0691341716182545
Current Epoch: 30
Epoch: [31/80] Iters: [1/490] Loss: 2.8051 MetaLoss:0.7263 Prec@1 82.00 Prec_meta@1 79.00
Epoch: [31/80] Iters: [51/490] Loss: 2.7960 MetaLoss:0.6587 Prec@1 78.00 Prec_meta@1 77.00
Epoch: [31/80] Iters: [101/490] Loss: 2.7751 MetaLoss:0.6427 Prec@1 75.00 Prec_meta@1 80.00
Epoch: [31/80] Iters: [151/490] Loss: 2.8134 MetaLoss:0.6491 Prec@1 82.00 Prec_meta@1 73.00
Epoch: [31/80] Iters: [201/490] Loss: 2.8224 MetaLoss:0.6487 Prec@1 78.00 Prec_meta@1 74.00
Epoch: [31/80] Iters: [251/490] Loss: 2.7952 MetaLoss:0.6529 Prec@1 82.00 Prec_meta@1 83.00
Epoch: [31/80] Iters: [301/490] Loss: 2.8032 MetaLoss:0.6533 Prec@1 82.00 Prec_meta@1 76.00
Epoch: [31/80] Iters: [351/490] Loss: 2.8032 MetaLoss:0.6527 Prec@1 76.00 Prec_meta@1 74.00
Epoch: [31/80] Iters: [401/490] Loss: 2.7828 MetaLoss:0.6493 Prec@1 70.00 Prec_meta@1 70.00
Epoch: [31/80] Iters: [451/490] Loss: 2.7918 MetaLoss:0.6475 Prec@1 75.00 Prec_meta@1 76.00
Test set: Average loss: 0.8178, Accuracy: 7263/10000 (72.6300%)
lr 0.06730585285387465
Current Epoch: 31
Epoch: [32/80] Iters: [1/490] Loss: 3.5962 MetaLoss:0.6860 Prec@1 75.00 Prec_meta@1 71.00
Epoch: [32/80] Iters: [51/490] Loss: 2.7679 MetaLoss:0.6331 Prec@1 79.00 Prec_meta@1 75.00
Epoch: [32/80] Iters: [101/490] Loss: 2.7800 MetaLoss:0.6285 Prec@1 77.00 Prec_meta@1 81.00
Epoch: [32/80] Iters: [151/490] Loss: 2.7932 MetaLoss:0.6222 Prec@1 78.00 Prec_meta@1 77.00
Epoch: [32/80] Iters: [201/490] Loss: 2.7634 MetaLoss:0.6286 Prec@1 80.00 Prec_meta@1 71.00
Epoch: [32/80] Iters: [251/490] Loss: 2.7750 MetaLoss:0.6397 Prec@1 76.00 Prec_meta@1 78.00
Epoch: [32/80] Iters: [301/490] Loss: 2.7693 MetaLoss:0.6395 Prec@1 78.00 Prec_meta@1 80.00
Epoch: [32/80] Iters: [351/490] Loss: 2.7565 MetaLoss:0.6356 Prec@1 76.00 Prec_meta@1 77.00
Epoch: [32/80] Iters: [401/490] Loss: 2.7462 MetaLoss:0.6334 Prec@1 75.00 Prec_meta@1 87.00
Epoch: [32/80] Iters: [451/490] Loss: 2.7380 MetaLoss:0.6348 Prec@1 79.00 Prec_meta@1 83.00
Test set: Average loss: 0.9456, Accuracy: 6920/10000 (69.2000%)
lr 0.06545084971874737
Current Epoch: 32
Epoch: [33/80] Iters: [1/490] Loss: 2.2711 MetaLoss:0.6368 Prec@1 77.00 Prec_meta@1 75.00
Epoch: [33/80] Iters: [51/490] Loss: 2.7676 MetaLoss:0.6033 Prec@1 77.00 Prec_meta@1 72.00
Epoch: [33/80] Iters: [101/490] Loss: 2.7779 MetaLoss:0.6128 Prec@1 84.00 Prec_meta@1 77.00
Epoch: [33/80] Iters: [151/490] Loss: 2.7343 MetaLoss:0.6134 Prec@1 77.00 Prec_meta@1 77.00
Epoch: [33/80] Iters: [201/490] Loss: 2.7405 MetaLoss:0.6164 Prec@1 80.00 Prec_meta@1 82.00
Epoch: [33/80] Iters: [251/490] Loss: 2.7366 MetaLoss:0.6183 Prec@1 78.00 Prec_meta@1 75.00
Epoch: [33/80] Iters: [301/490] Loss: 2.7357 MetaLoss:0.6158 Prec@1 71.00 Prec_meta@1 79.00
Epoch: [33/80] Iters: [351/490] Loss: 2.7439 MetaLoss:0.6144 Prec@1 81.00 Prec_meta@1 72.00
Epoch: [33/80] Iters: [401/490] Loss: 2.7473 MetaLoss:0.6183 Prec@1 75.00 Prec_meta@1 75.00
Epoch: [33/80] Iters: [451/490] Loss: 2.7484 MetaLoss:0.6180 Prec@1 79.00 Prec_meta@1 76.00
Test set: Average loss: 0.6836, Accuracy: 7695/10000 (76.9500%)
lr 0.06357202249325371
Current Epoch: 33
Epoch: [34/80] Iters: [1/490] Loss: 2.8783 MetaLoss:0.6914 Prec@1 77.00 Prec_meta@1 74.00
Epoch: [34/80] Iters: [51/490] Loss: 2.7486 MetaLoss:0.6178 Prec@1 80.00 Prec_meta@1 80.00
Epoch: [34/80] Iters: [101/490] Loss: 2.8072 MetaLoss:0.6089 Prec@1 83.00 Prec_meta@1 84.00
Epoch: [34/80] Iters: [151/490] Loss: 2.7915 MetaLoss:0.6234 Prec@1 77.00 Prec_meta@1 77.00
Epoch: [34/80] Iters: [201/490] Loss: 2.7700 MetaLoss:0.6197 Prec@1 86.00 Prec_meta@1 81.00
Epoch: [34/80] Iters: [251/490] Loss: 2.7685 MetaLoss:0.6212 Prec@1 83.00 Prec_meta@1 74.00
Epoch: [34/80] Iters: [301/490] Loss: 2.7520 MetaLoss:0.6205 Prec@1 80.00 Prec_meta@1 79.00
Epoch: [34/80] Iters: [351/490] Loss: 2.7527 MetaLoss:0.6214 Prec@1 76.00 Prec_meta@1 74.00
Epoch: [34/80] Iters: [401/490] Loss: 2.7512 MetaLoss:0.6176 Prec@1 82.00 Prec_meta@1 73.00
Epoch: [34/80] Iters: [451/490] Loss: 2.7482 MetaLoss:0.6198 Prec@1 70.00 Prec_meta@1 77.00
Test set: Average loss: 0.7135, Accuracy: 7558/10000 (75.5800%)
lr 0.06167226819279528
Current Epoch: 34
Epoch: [35/80] Iters: [1/490] Loss: 2.4892 MetaLoss:0.4788 Prec@1 75.00 Prec_meta@1 82.00
Epoch: [35/80] Iters: [51/490] Loss: 2.6591 MetaLoss:0.5845 Prec@1 78.00 Prec_meta@1 83.00
Epoch: [35/80] Iters: [101/490] Loss: 2.7038 MetaLoss:0.5817 Prec@1 78.00 Prec_meta@1 80.00
Epoch: [35/80] Iters: [151/490] Loss: 2.7628 MetaLoss:0.5890 Prec@1 78.00 Prec_meta@1 85.00
Epoch: [35/80] Iters: [201/490] Loss: 2.7657 MetaLoss:0.5961 Prec@1 77.00 Prec_meta@1 78.00
Epoch: [35/80] Iters: [251/490] Loss: 2.7778 MetaLoss:0.6035 Prec@1 79.00 Prec_meta@1 86.00
Epoch: [35/80] Iters: [301/490] Loss: 2.7769 MetaLoss:0.6124 Prec@1 78.00 Prec_meta@1 83.00
Epoch: [35/80] Iters: [351/490] Loss: 2.7738 MetaLoss:0.6146 Prec@1 80.00 Prec_meta@1 74.00
Epoch: [35/80] Iters: [401/490] Loss: 2.7704 MetaLoss:0.6144 Prec@1 70.00 Prec_meta@1 80.00
Epoch: [35/80] Iters: [451/490] Loss: 2.7693 MetaLoss:0.6136 Prec@1 75.00 Prec_meta@1 75.00
Test set: Average loss: 0.8326, Accuracy: 7121/10000 (71.2100%)
lr 0.059754516100806426
Current Epoch: 35
Epoch: [36/80] Iters: [1/490] Loss: 2.8544 MetaLoss:0.4653 Prec@1 76.00 Prec_meta@1 84.00
Epoch: [36/80] Iters: [51/490] Loss: 2.6781 MetaLoss:0.5864 Prec@1 81.00 Prec_meta@1 73.00
Epoch: [36/80] Iters: [101/490] Loss: 2.7291 MetaLoss:0.5980 Prec@1 78.00 Prec_meta@1 77.00
Epoch: [36/80] Iters: [151/490] Loss: 2.7438 MetaLoss:0.6031 Prec@1 81.00 Prec_meta@1 78.00
Epoch: [36/80] Iters: [201/490] Loss: 2.7601 MetaLoss:0.6104 Prec@1 76.00 Prec_meta@1 76.00
Epoch: [36/80] Iters: [251/490] Loss: 2.7494 MetaLoss:0.6135 Prec@1 76.00 Prec_meta@1 81.00
Epoch: [36/80] Iters: [301/490] Loss: 2.7171 MetaLoss:0.6153 Prec@1 81.00 Prec_meta@1 77.00
Epoch: [36/80] Iters: [351/490] Loss: 2.6982 MetaLoss:0.6142 Prec@1 77.00 Prec_meta@1 77.00
Epoch: [36/80] Iters: [401/490] Loss: 2.6891 MetaLoss:0.6140 Prec@1 66.00 Prec_meta@1 81.00
Epoch: [36/80] Iters: [451/490] Loss: 2.6949 MetaLoss:0.6168 Prec@1 83.00 Prec_meta@1 80.00
Test set: Average loss: 0.6512, Accuracy: 7781/10000 (77.8100%)
lr 0.05782172325201155
Current Epoch: 36
Epoch: [37/80] Iters: [1/490] Loss: 2.8329 MetaLoss:0.5375 Prec@1 84.00 Prec_meta@1 80.00
Epoch: [37/80] Iters: [51/490] Loss: 2.7458 MetaLoss:0.6102 Prec@1 79.00 Prec_meta@1 87.00
Epoch: [37/80] Iters: [101/490] Loss: 2.7138 MetaLoss:0.6110 Prec@1 86.00 Prec_meta@1 80.00
Epoch: [37/80] Iters: [151/490] Loss: 2.7273 MetaLoss:0.6163 Prec@1 80.00 Prec_meta@1 83.00
Epoch: [37/80] Iters: [201/490] Loss: 2.7245 MetaLoss:0.6115 Prec@1 84.00 Prec_meta@1 82.00
Epoch: [37/80] Iters: [251/490] Loss: 2.7421 MetaLoss:0.6085 Prec@1 79.00 Prec_meta@1 79.00
Epoch: [37/80] Iters: [301/490] Loss: 2.7700 MetaLoss:0.6068 Prec@1 75.00 Prec_meta@1 76.00
Epoch: [37/80] Iters: [351/490] Loss: 2.7975 MetaLoss:0.6028 Prec@1 78.00 Prec_meta@1 82.00
Epoch: [37/80] Iters: [401/490] Loss: 2.7952 MetaLoss:0.6104 Prec@1 76.00 Prec_meta@1 78.00
Epoch: [37/80] Iters: [451/490] Loss: 2.7952 MetaLoss:0.6104 Prec@1 74.00 Prec_meta@1 67.00
Test set: Average loss: 0.7086, Accuracy: 7613/10000 (76.1300%)
lr 0.05587686987289189
Current Epoch: 37
Epoch: [38/80] Iters: [1/490] Loss: 2.9131 MetaLoss:0.6335 Prec@1 83.00 Prec_meta@1 77.00
Epoch: [38/80] Iters: [51/490] Loss: 2.7241 MetaLoss:0.6176 Prec@1 73.00 Prec_meta@1 76.00
Epoch: [38/80] Iters: [101/490] Loss: 2.6680 MetaLoss:0.6168 Prec@1 83.00 Prec_meta@1 80.00
Epoch: [38/80] Iters: [151/490] Loss: 2.6659 MetaLoss:0.6028 Prec@1 83.00 Prec_meta@1 80.00
Epoch: [38/80] Iters: [201/490] Loss: 2.7143 MetaLoss:0.6044 Prec@1 73.00 Prec_meta@1 83.00
Epoch: [38/80] Iters: [251/490] Loss: 2.7519 MetaLoss:0.6015 Prec@1 87.00 Prec_meta@1 78.00
Epoch: [38/80] Iters: [301/490] Loss: 2.7662 MetaLoss:0.6011 Prec@1 80.00 Prec_meta@1 80.00
Epoch: [38/80] Iters: [351/490] Loss: 2.7652 MetaLoss:0.5969 Prec@1 92.00 Prec_meta@1 76.00
Epoch: [38/80] Iters: [401/490] Loss: 2.7743 MetaLoss:0.5948 Prec@1 72.00 Prec_meta@1 77.00
Epoch: [38/80] Iters: [451/490] Loss: 2.7856 MetaLoss:0.5937 Prec@1 83.00 Prec_meta@1 79.00
Test set: Average loss: 0.8936, Accuracy: 7106/10000 (71.0600%)
lr 0.05392295478639225
Current Epoch: 38
Epoch: [39/80] Iters: [1/490] Loss: 3.0170 MetaLoss:0.6923 Prec@1 77.00 Prec_meta@1 79.00
Epoch: [39/80] Iters: [51/490] Loss: 2.8694 MetaLoss:0.5684 Prec@1 79.00 Prec_meta@1 82.00
Epoch: [39/80] Iters: [101/490] Loss: 2.7958 MetaLoss:0.5870 Prec@1 80.00 Prec_meta@1 85.00
Epoch: [39/80] Iters: [151/490] Loss: 2.7655 MetaLoss:0.5876 Prec@1 74.00 Prec_meta@1 80.00
Epoch: [39/80] Iters: [201/490] Loss: 2.7704 MetaLoss:0.5858 Prec@1 80.00 Prec_meta@1 83.00
Epoch: [39/80] Iters: [251/490] Loss: 2.7602 MetaLoss:0.5869 Prec@1 78.00 Prec_meta@1 79.00
Epoch: [39/80] Iters: [301/490] Loss: 2.7537 MetaLoss:0.5868 Prec@1 84.00 Prec_meta@1 80.00
Epoch: [39/80] Iters: [351/490] Loss: 2.7607 MetaLoss:0.5859 Prec@1 78.00 Prec_meta@1 80.00
Epoch: [39/80] Iters: [401/490] Loss: 2.7683 MetaLoss:0.5809 Prec@1 87.00 Prec_meta@1 85.00
Epoch: [39/80] Iters: [451/490] Loss: 2.7763 MetaLoss:0.5794 Prec@1 75.00 Prec_meta@1 82.00
Test set: Average loss: 0.7535, Accuracy: 7447/10000 (74.4700%)
lr 0.05196299078795344
Current Epoch: 39
Epoch: [40/80] Iters: [1/490] Loss: 3.3643 MetaLoss:0.5735 Prec@1 71.00 Prec_meta@1 78.00
Epoch: [40/80] Iters: [51/490] Loss: 2.8229 MetaLoss:0.5921 Prec@1 76.00 Prec_meta@1 81.00
Epoch: [40/80] Iters: [101/490] Loss: 2.7880 MetaLoss:0.5952 Prec@1 83.00 Prec_meta@1 83.00
Epoch: [40/80] Iters: [151/490] Loss: 2.8047 MetaLoss:0.5938 Prec@1 84.00 Prec_meta@1 78.00
Epoch: [40/80] Iters: [201/490] Loss: 2.8174 MetaLoss:0.5896 Prec@1 82.00 Prec_meta@1 82.00
Epoch: [40/80] Iters: [251/490] Loss: 2.8114 MetaLoss:0.5811 Prec@1 80.00 Prec_meta@1 78.00
Epoch: [40/80] Iters: [301/490] Loss: 2.7993 MetaLoss:0.5804 Prec@1 80.00 Prec_meta@1 75.00
Epoch: [40/80] Iters: [351/490] Loss: 2.8030 MetaLoss:0.5794 Prec@1 81.00 Prec_meta@1 76.00
Epoch: [40/80] Iters: [401/490] Loss: 2.8032 MetaLoss:0.5812 Prec@1 87.00 Prec_meta@1 80.00
Epoch: [40/80] Iters: [451/490] Loss: 2.7945 MetaLoss:0.5815 Prec@1 81.00 Prec_meta@1 76.00
Test set: Average loss: 0.8172, Accuracy: 7215/10000 (72.1500%)
lr 0.05
Current Epoch: 40
Epoch: [41/80] Iters: [1/490] Loss: 2.4879 MetaLoss:0.5294 Prec@1 85.00 Prec_meta@1 84.00
Epoch: [41/80] Iters: [51/490] Loss: 2.6557 MetaLoss:0.5409 Prec@1 79.00 Prec_meta@1 87.00
Epoch: [41/80] Iters: [101/490] Loss: 2.7114 MetaLoss:0.5520 Prec@1 82.00 Prec_meta@1 79.00
Epoch: [41/80] Iters: [151/490] Loss: 2.7596 MetaLoss:0.5527 Prec@1 87.00 Prec_meta@1 87.00
Epoch: [41/80] Iters: [201/490] Loss: 2.7685 MetaLoss:0.5663 Prec@1 85.00 Prec_meta@1 79.00
Epoch: [41/80] Iters: [251/490] Loss: 2.7844 MetaLoss:0.5650 Prec@1 78.00 Prec_meta@1 84.00
Epoch: [41/80] Iters: [301/490] Loss: 2.8171 MetaLoss:0.5670 Prec@1 84.00 Prec_meta@1 78.00
Epoch: [41/80] Iters: [351/490] Loss: 2.8318 MetaLoss:0.5674 Prec@1 82.00 Prec_meta@1 83.00
Epoch: [41/80] Iters: [401/490] Loss: 2.8569 MetaLoss:0.5687 Prec@1 75.00 Prec_meta@1 82.00
Epoch: [41/80] Iters: [451/490] Loss: 2.8679 MetaLoss:0.5682 Prec@1 78.00 Prec_meta@1 85.00
Test set: Average loss: 0.7971, Accuracy: 7372/10000 (73.7200%)
lr 0.04803700921204659
Current Epoch: 41
Epoch: [42/80] Iters: [1/490] Loss: 3.1474 MetaLoss:0.6477 Prec@1 78.00 Prec_meta@1 77.00
Epoch: [42/80] Iters: [51/490] Loss: 2.9990 MetaLoss:0.5629 Prec@1 76.00 Prec_meta@1 88.00
Epoch: [42/80] Iters: [101/490] Loss: 2.8482 MetaLoss:0.5883 Prec@1 83.00 Prec_meta@1 83.00
Epoch: [42/80] Iters: [151/490] Loss: 2.8250 MetaLoss:0.5857 Prec@1 82.00 Prec_meta@1 76.00
Epoch: [42/80] Iters: [201/490] Loss: 2.8260 MetaLoss:0.5802 Prec@1 81.00 Prec_meta@1 80.00
Epoch: [42/80] Iters: [251/490] Loss: 2.8310 MetaLoss:0.5769 Prec@1 78.00 Prec_meta@1 78.00
Epoch: [42/80] Iters: [301/490] Loss: 2.8230 MetaLoss:0.5651 Prec@1 82.00 Prec_meta@1 87.00
Epoch: [42/80] Iters: [351/490] Loss: 2.8389 MetaLoss:0.5597 Prec@1 85.00 Prec_meta@1 76.00
Epoch: [42/80] Iters: [401/490] Loss: 2.8484 MetaLoss:0.5567 Prec@1 81.00 Prec_meta@1 83.00
Epoch: [42/80] Iters: [451/490] Loss: 2.8696 MetaLoss:0.5550 Prec@1 81.00 Prec_meta@1 78.00
Test set: Average loss: 0.6389, Accuracy: 7838/10000 (78.3800%)
lr 0.04607704521360776
Current Epoch: 42
Epoch: [43/80] Iters: [1/490] Loss: 2.1683 MetaLoss:0.6343 Prec@1 78.00 Prec_meta@1 79.00
Epoch: [43/80] Iters: [51/490] Loss: 2.7623 MetaLoss:0.5756 Prec@1 82.00 Prec_meta@1 81.00
Epoch: [43/80] Iters: [101/490] Loss: 2.7454 MetaLoss:0.5736 Prec@1 81.00 Prec_meta@1 75.00
Epoch: [43/80] Iters: [151/490] Loss: 2.7456 MetaLoss:0.5650 Prec@1 75.00 Prec_meta@1 80.00
Epoch: [43/80] Iters: [201/490] Loss: 2.7391 MetaLoss:0.5571 Prec@1 77.00 Prec_meta@1 83.00
Epoch: [43/80] Iters: [251/490] Loss: 2.7520 MetaLoss:0.5505 Prec@1 82.00 Prec_meta@1 81.00
Epoch: [43/80] Iters: [301/490] Loss: 2.7622 MetaLoss:0.5502 Prec@1 71.00 Prec_meta@1 86.00
Epoch: [43/80] Iters: [351/490] Loss: 2.7862 MetaLoss:0.5484 Prec@1 82.00 Prec_meta@1 81.00
Epoch: [43/80] Iters: [401/490] Loss: 2.8005 MetaLoss:0.5480 Prec@1 84.00 Prec_meta@1 80.00
Epoch: [43/80] Iters: [451/490] Loss: 2.7934 MetaLoss:0.5510 Prec@1 77.00 Prec_meta@1 76.00
Test set: Average loss: 0.6482, Accuracy: 7767/10000 (77.6700%)
lr 0.044123130127108126
Current Epoch: 43
Epoch: [44/80] Iters: [1/490] Loss: 2.8214 MetaLoss:0.4031 Prec@1 85.00 Prec_meta@1 86.00
Epoch: [44/80] Iters: [51/490] Loss: 2.7118 MetaLoss:0.5351 Prec@1 81.00 Prec_meta@1 74.00
Epoch: [44/80] Iters: [101/490] Loss: 2.7356 MetaLoss:0.5382 Prec@1 71.00 Prec_meta@1 80.00
Epoch: [44/80] Iters: [151/490] Loss: 2.7577 MetaLoss:0.5320 Prec@1 85.00 Prec_meta@1 82.00
Epoch: [44/80] Iters: [201/490] Loss: 2.7652 MetaLoss:0.5362 Prec@1 76.00 Prec_meta@1 84.00
Epoch: [44/80] Iters: [251/490] Loss: 2.7993 MetaLoss:0.5323 Prec@1 80.00 Prec_meta@1 82.00
Epoch: [44/80] Iters: [301/490] Loss: 2.7908 MetaLoss:0.5337 Prec@1 81.00 Prec_meta@1 81.00
Epoch: [44/80] Iters: [351/490] Loss: 2.7964 MetaLoss:0.5347 Prec@1 90.00 Prec_meta@1 73.00
Epoch: [44/80] Iters: [401/490] Loss: 2.7873 MetaLoss:0.5356 Prec@1 83.00 Prec_meta@1 84.00
Epoch: [44/80] Iters: [451/490] Loss: 2.7752 MetaLoss:0.5354 Prec@1 79.00 Prec_meta@1 76.00
Test set: Average loss: 0.5954, Accuracy: 7980/10000 (79.8000%)
lr 0.04217827674798847
Current Epoch: 44
Epoch: [45/80] Iters: [1/490] Loss: 3.4642 MetaLoss:0.4684 Prec@1 76.00 Prec_meta@1 89.00
Epoch: [45/80] Iters: [51/490] Loss: 2.7406 MetaLoss:0.5274 Prec@1 80.00 Prec_meta@1 83.00
Epoch: [45/80] Iters: [101/490] Loss: 2.7790 MetaLoss:0.5242 Prec@1 77.00 Prec_meta@1 82.00
Epoch: [45/80] Iters: [151/490] Loss: 2.7722 MetaLoss:0.5242 Prec@1 80.00 Prec_meta@1 87.00
Epoch: [45/80] Iters: [201/490] Loss: 2.7378 MetaLoss:0.5284 Prec@1 80.00 Prec_meta@1 77.00
Epoch: [45/80] Iters: [251/490] Loss: 2.7523 MetaLoss:0.5318 Prec@1 88.00 Prec_meta@1 79.00
Epoch: [45/80] Iters: [301/490] Loss: 2.7602 MetaLoss:0.5275 Prec@1 84.00 Prec_meta@1 89.00
Epoch: [45/80] Iters: [351/490] Loss: 2.7706 MetaLoss:0.5263 Prec@1 79.00 Prec_meta@1 84.00
Epoch: [45/80] Iters: [401/490] Loss: 2.7736 MetaLoss:0.5283 Prec@1 79.00 Prec_meta@1 77.00
Epoch: [45/80] Iters: [451/490] Loss: 2.7621 MetaLoss:0.5329 Prec@1 85.00 Prec_meta@1 85.00
Test set: Average loss: 0.6016, Accuracy: 7947/10000 (79.4700%)
lr 0.04024548389919359
Current Epoch: 45
Epoch: [46/80] Iters: [1/490] Loss: 2.7608 MetaLoss:0.5891 Prec@1 77.00 Prec_meta@1 81.00
Epoch: [46/80] Iters: [51/490] Loss: 2.6008 MetaLoss:0.5245 Prec@1 81.00 Prec_meta@1 81.00
Epoch: [46/80] Iters: [101/490] Loss: 2.6535 MetaLoss:0.5108 Prec@1 88.00 Prec_meta@1 87.00
Epoch: [46/80] Iters: [151/490] Loss: 2.7226 MetaLoss:0.5029 Prec@1 84.00 Prec_meta@1 89.00
Epoch: [46/80] Iters: [201/490] Loss: 2.7727 MetaLoss:0.5020 Prec@1 85.00 Prec_meta@1 81.00
Epoch: [46/80] Iters: [251/490] Loss: 2.7999 MetaLoss:0.4999 Prec@1 78.00 Prec_meta@1 85.00
Epoch: [46/80] Iters: [301/490] Loss: 2.8341 MetaLoss:0.5010 Prec@1 85.00 Prec_meta@1 84.00
Epoch: [46/80] Iters: [351/490] Loss: 2.8296 MetaLoss:0.5044 Prec@1 79.00 Prec_meta@1 83.00
Epoch: [46/80] Iters: [401/490] Loss: 2.8400 MetaLoss:0.5067 Prec@1 84.00 Prec_meta@1 91.00
Epoch: [46/80] Iters: [451/490] Loss: 2.8307 MetaLoss:0.5089 Prec@1 83.00 Prec_meta@1 85.00
Test set: Average loss: 0.7134, Accuracy: 7604/10000 (76.0400%)
lr 0.03832773180720474
Current Epoch: 46
Epoch: [47/80] Iters: [1/490] Loss: 3.0645 MetaLoss:0.3692 Prec@1 80.00 Prec_meta@1 90.00
Epoch: [47/80] Iters: [51/490] Loss: 2.7198 MetaLoss:0.5407 Prec@1 79.00 Prec_meta@1 81.00
Epoch: [47/80] Iters: [101/490] Loss: 2.7280 MetaLoss:0.5299 Prec@1 83.00 Prec_meta@1 79.00
Epoch: [47/80] Iters: [151/490] Loss: 2.7660 MetaLoss:0.5227 Prec@1 79.00 Prec_meta@1 78.00
Epoch: [47/80] Iters: [201/490] Loss: 2.7846 MetaLoss:0.5308 Prec@1 83.00 Prec_meta@1 80.00
Epoch: [47/80] Iters: [251/490] Loss: 2.7966 MetaLoss:0.5342 Prec@1 82.00 Prec_meta@1 87.00
Epoch: [47/80] Iters: [301/490] Loss: 2.7741 MetaLoss:0.5322 Prec@1 87.00 Prec_meta@1 84.00
Epoch: [47/80] Iters: [351/490] Loss: 2.7709 MetaLoss:0.5285 Prec@1 86.00 Prec_meta@1 84.00
Epoch: [47/80] Iters: [401/490] Loss: 2.7776 MetaLoss:0.5247 Prec@1 86.00 Prec_meta@1 84.00
Epoch: [47/80] Iters: [451/490] Loss: 2.7803 MetaLoss:0.5206 Prec@1 79.00 Prec_meta@1 80.00
Test set: Average loss: 0.6268, Accuracy: 7877/10000 (78.7700%)
lr 0.03642797750674628
Current Epoch: 47
Epoch: [48/80] Iters: [1/490] Loss: 2.9221 MetaLoss:0.5460 Prec@1 75.00 Prec_meta@1 82.00
Epoch: [48/80] Iters: [51/490] Loss: 2.7581 MetaLoss:0.5003 Prec@1 82.00 Prec_meta@1 89.00
Epoch: [48/80] Iters: [101/490] Loss: 2.7862 MetaLoss:0.5027 Prec@1 81.00 Prec_meta@1 90.00
Epoch: [48/80] Iters: [151/490] Loss: 2.7872 MetaLoss:0.5075 Prec@1 83.00 Prec_meta@1 83.00
Epoch: [48/80] Iters: [201/490] Loss: 2.7521 MetaLoss:0.5134 Prec@1 81.00 Prec_meta@1 80.00
Epoch: [48/80] Iters: [251/490] Loss: 2.7582 MetaLoss:0.5130 Prec@1 85.00 Prec_meta@1 82.00
Epoch: [48/80] Iters: [301/490] Loss: 2.7561 MetaLoss:0.5131 Prec@1 86.00 Prec_meta@1 78.00
Epoch: [48/80] Iters: [351/490] Loss: 2.7740 MetaLoss:0.5114 Prec@1 78.00 Prec_meta@1 88.00
Epoch: [48/80] Iters: [401/490] Loss: 2.7875 MetaLoss:0.5063 Prec@1 82.00 Prec_meta@1 88.00
Epoch: [48/80] Iters: [451/490] Loss: 2.7922 MetaLoss:0.5068 Prec@1 83.00 Prec_meta@1 84.00
Test set: Average loss: 0.5652, Accuracy: 8094/10000 (80.9400%)
lr 0.03454915028125263
Current Epoch: 48
Epoch: [49/80] Iters: [1/490] Loss: 3.1443 MetaLoss:0.4158 Prec@1 84.00 Prec_meta@1 83.00
Epoch: [49/80] Iters: [51/490] Loss: 2.7424 MetaLoss:0.4888 Prec@1 80.00 Prec_meta@1 82.00
Epoch: [49/80] Iters: [101/490] Loss: 2.7474 MetaLoss:0.4946 Prec@1 87.00 Prec_meta@1 85.00
Epoch: [49/80] Iters: [151/490] Loss: 2.7297 MetaLoss:0.4948 Prec@1 80.00 Prec_meta@1 79.00
Epoch: [49/80] Iters: [201/490] Loss: 2.7647 MetaLoss:0.4933 Prec@1 83.00 Prec_meta@1 85.00
Epoch: [49/80] Iters: [251/490] Loss: 2.8191 MetaLoss:0.4948 Prec@1 83.00 Prec_meta@1 85.00
Epoch: [49/80] Iters: [301/490] Loss: 2.8360 MetaLoss:0.4885 Prec@1 86.00 Prec_meta@1 86.00
Epoch: [49/80] Iters: [351/490] Loss: 2.8687 MetaLoss:0.4904 Prec@1 78.00 Prec_meta@1 81.00
Epoch: [49/80] Iters: [401/490] Loss: 2.9061 MetaLoss:0.4882 Prec@1 79.00 Prec_meta@1 81.00
Epoch: [49/80] Iters: [451/490] Loss: 2.9346 MetaLoss:0.4856 Prec@1 88.00 Prec_meta@1 85.00
Test set: Average loss: 0.6324, Accuracy: 7992/10000 (79.9200%)
lr 0.03269414714612536
Current Epoch: 49
Epoch: [50/80] Iters: [1/490] Loss: 3.4991 MetaLoss:0.4061 Prec@1 91.00 Prec_meta@1 84.00
Epoch: [50/80] Iters: [51/490] Loss: 3.0353 MetaLoss:0.5031 Prec@1 75.00 Prec_meta@1 83.00
Epoch: [50/80] Iters: [101/490] Loss: 3.0045 MetaLoss:0.4986 Prec@1 83.00 Prec_meta@1 87.00
Epoch: [50/80] Iters: [151/490] Loss: 2.9652 MetaLoss:0.4975 Prec@1 81.00 Prec_meta@1 79.00
Epoch: [50/80] Iters: [201/490] Loss: 2.9300 MetaLoss:0.4921 Prec@1 86.00 Prec_meta@1 83.00
Epoch: [50/80] Iters: [251/490] Loss: 2.9292 MetaLoss:0.4923 Prec@1 78.00 Prec_meta@1 87.00
Epoch: [50/80] Iters: [301/490] Loss: 2.9190 MetaLoss:0.4943 Prec@1 82.00 Prec_meta@1 82.00
Epoch: [50/80] Iters: [351/490] Loss: 2.9019 MetaLoss:0.4951 Prec@1 85.00 Prec_meta@1 82.00
Epoch: [50/80] Iters: [401/490] Loss: 2.8987 MetaLoss:0.4944 Prec@1 80.00 Prec_meta@1 85.00
Epoch: [50/80] Iters: [451/490] Loss: 2.8885 MetaLoss:0.4932 Prec@1 84.00 Prec_meta@1 82.00
Test set: Average loss: 0.6817, Accuracy: 7605/10000 (76.0500%)
lr 0.030865828381745515
Current Epoch: 50
Epoch: [51/80] Iters: [1/490] Loss: 2.6264 MetaLoss:0.4916 Prec@1 91.00 Prec_meta@1 84.00
Epoch: [51/80] Iters: [51/490] Loss: 2.7863 MetaLoss:0.4813 Prec@1 81.00 Prec_meta@1 86.00
Epoch: [51/80] Iters: [101/490] Loss: 2.7910 MetaLoss:0.4843 Prec@1 80.00 Prec_meta@1 84.00
Epoch: [51/80] Iters: [151/490] Loss: 2.8192 MetaLoss:0.4859 Prec@1 85.00 Prec_meta@1 85.00
Epoch: [51/80] Iters: [201/490] Loss: 2.8370 MetaLoss:0.4911 Prec@1 85.00 Prec_meta@1 80.00
Epoch: [51/80] Iters: [251/490] Loss: 2.8682 MetaLoss:0.4917 Prec@1 80.00 Prec_meta@1 80.00
Epoch: [51/80] Iters: [301/490] Loss: 2.8561 MetaLoss:0.4932 Prec@1 79.00 Prec_meta@1 82.00
Epoch: [51/80] Iters: [351/490] Loss: 2.8479 MetaLoss:0.4970 Prec@1 86.00 Prec_meta@1 90.00
Epoch: [51/80] Iters: [401/490] Loss: 2.8506 MetaLoss:0.4936 Prec@1 79.00 Prec_meta@1 89.00
Epoch: [51/80] Iters: [451/490] Loss: 2.8524 MetaLoss:0.4916 Prec@1 86.00 Prec_meta@1 82.00
Test set: Average loss: 0.5778, Accuracy: 8110/10000 (81.1000%)
lr 0.02906701312312861
Current Epoch: 51
Epoch: [52/80] Iters: [1/490] Loss: 2.9156 MetaLoss:0.4613 Prec@1 87.00 Prec_meta@1 84.00
Epoch: [52/80] Iters: [51/490] Loss: 2.8793 MetaLoss:0.4601 Prec@1 81.00 Prec_meta@1 84.00
Epoch: [52/80] Iters: [101/490] Loss: 2.8606 MetaLoss:0.4577 Prec@1 82.00 Prec_meta@1 81.00
Epoch: [52/80] Iters: [151/490] Loss: 2.8672 MetaLoss:0.4536 Prec@1 79.00 Prec_meta@1 84.00
Epoch: [52/80] Iters: [201/490] Loss: 2.8477 MetaLoss:0.4607 Prec@1 86.00 Prec_meta@1 81.00
Epoch: [52/80] Iters: [251/490] Loss: 2.8408 MetaLoss:0.4604 Prec@1 81.00 Prec_meta@1 86.00
Epoch: [52/80] Iters: [301/490] Loss: 2.8259 MetaLoss:0.4630 Prec@1 87.00 Prec_meta@1 87.00
Epoch: [52/80] Iters: [351/490] Loss: 2.8206 MetaLoss:0.4629 Prec@1 84.00 Prec_meta@1 80.00
Epoch: [52/80] Iters: [401/490] Loss: 2.8125 MetaLoss:0.4616 Prec@1 92.00 Prec_meta@1 85.00
Epoch: [52/80] Iters: [451/490] Loss: 2.8140 MetaLoss:0.4635 Prec@1 90.00 Prec_meta@1 79.00
Test set: Average loss: 0.6050, Accuracy: 7979/10000 (79.7900%)
lr 0.027300475013022664
Current Epoch: 52
Epoch: [53/80] Iters: [1/490] Loss: 2.9204 MetaLoss:0.4120 Prec@1 94.00 Prec_meta@1 86.00
Epoch: [53/80] Iters: [51/490] Loss: 2.6870 MetaLoss:0.4529 Prec@1 88.00 Prec_meta@1 78.00
Epoch: [53/80] Iters: [101/490] Loss: 2.7802 MetaLoss:0.4578 Prec@1 83.00 Prec_meta@1 83.00
Epoch: [53/80] Iters: [151/490] Loss: 2.7959 MetaLoss:0.4513 Prec@1 86.00 Prec_meta@1 92.00
Epoch: [53/80] Iters: [201/490] Loss: 2.7963 MetaLoss:0.4578 Prec@1 90.00 Prec_meta@1 88.00
Epoch: [53/80] Iters: [251/490] Loss: 2.7879 MetaLoss:0.4589 Prec@1 81.00 Prec_meta@1 82.00
Epoch: [53/80] Iters: [301/490] Loss: 2.8080 MetaLoss:0.4589 Prec@1 84.00 Prec_meta@1 83.00
Epoch: [53/80] Iters: [351/490] Loss: 2.8138 MetaLoss:0.4608 Prec@1 81.00 Prec_meta@1 87.00
Epoch: [53/80] Iters: [401/490] Loss: 2.8195 MetaLoss:0.4620 Prec@1 83.00 Prec_meta@1 85.00
Epoch: [53/80] Iters: [451/490] Loss: 2.8291 MetaLoss:0.4614 Prec@1 84.00 Prec_meta@1 84.00
Test set: Average loss: 0.4958, Accuracy: 8324/10000 (83.2400%)
lr 0.025568937925152246
Current Epoch: 53
Epoch: [54/80] Iters: [1/490] Loss: 3.6118 MetaLoss:0.4350 Prec@1 85.00 Prec_meta@1 83.00
Epoch: [54/80] Iters: [51/490] Loss: 2.8960 MetaLoss:0.4523 Prec@1 83.00 Prec_meta@1 85.00
Epoch: [54/80] Iters: [101/490] Loss: 2.9057 MetaLoss:0.4398 Prec@1 79.00 Prec_meta@1 81.00
Epoch: [54/80] Iters: [151/490] Loss: 2.8913 MetaLoss:0.4344 Prec@1 80.00 Prec_meta@1 84.00
Epoch: [54/80] Iters: [201/490] Loss: 2.8874 MetaLoss:0.4317 Prec@1 83.00 Prec_meta@1 88.00
Epoch: [54/80] Iters: [251/490] Loss: 2.8935 MetaLoss:0.4405 Prec@1 94.00 Prec_meta@1 79.00
Epoch: [54/80] Iters: [301/490] Loss: 2.9084 MetaLoss:0.4449 Prec@1 86.00 Prec_meta@1 86.00
Epoch: [54/80] Iters: [351/490] Loss: 2.9134 MetaLoss:0.4473 Prec@1 79.00 Prec_meta@1 87.00
Epoch: [54/80] Iters: [401/490] Loss: 2.9036 MetaLoss:0.4504 Prec@1 80.00 Prec_meta@1 88.00
Epoch: [54/80] Iters: [451/490] Loss: 2.8950 MetaLoss:0.4501 Prec@1 85.00 Prec_meta@1 84.00
Test set: Average loss: 0.5142, Accuracy: 8286/10000 (82.8600%)
lr 0.02387507176420256
Current Epoch: 54
Epoch: [55/80] Iters: [1/490] Loss: 2.0178 MetaLoss:0.4162 Prec@1 91.00 Prec_meta@1 86.00
Epoch: [55/80] Iters: [51/490] Loss: 2.8983 MetaLoss:0.4311 Prec@1 87.00 Prec_meta@1 87.00
Epoch: [55/80] Iters: [101/490] Loss: 2.9252 MetaLoss:0.4298 Prec@1 91.00 Prec_meta@1 86.00
Epoch: [55/80] Iters: [151/490] Loss: 2.9658 MetaLoss:0.4295 Prec@1 87.00 Prec_meta@1 88.00
Epoch: [55/80] Iters: [201/490] Loss: 2.9400 MetaLoss:0.4372 Prec@1 76.00 Prec_meta@1 80.00
Epoch: [55/80] Iters: [251/490] Loss: 2.9385 MetaLoss:0.4370 Prec@1 84.00 Prec_meta@1 91.00
Epoch: [55/80] Iters: [301/490] Loss: 2.9103 MetaLoss:0.4397 Prec@1 90.00 Prec_meta@1 86.00
Epoch: [55/80] Iters: [351/490] Loss: 2.9190 MetaLoss:0.4386 Prec@1 78.00 Prec_meta@1 86.00
Epoch: [55/80] Iters: [401/490] Loss: 2.9128 MetaLoss:0.4392 Prec@1 89.00 Prec_meta@1 88.00
Epoch: [55/80] Iters: [451/490] Loss: 2.9161 MetaLoss:0.4402 Prec@1 85.00 Prec_meta@1 92.00
Test set: Average loss: 0.5284, Accuracy: 8288/10000 (82.8800%)
lr 0.022221488349019887
Current Epoch: 55
Epoch: [56/80] Iters: [1/490] Loss: 2.9461 MetaLoss:0.4659 Prec@1 86.00 Prec_meta@1 84.00
Epoch: [56/80] Iters: [51/490] Loss: 2.9317 MetaLoss:0.4540 Prec@1 87.00 Prec_meta@1 86.00
Epoch: [56/80] Iters: [101/490] Loss: 2.9279 MetaLoss:0.4411 Prec@1 88.00 Prec_meta@1 81.00
Epoch: [56/80] Iters: [151/490] Loss: 2.9236 MetaLoss:0.4386 Prec@1 79.00 Prec_meta@1 91.00
Epoch: [56/80] Iters: [201/490] Loss: 2.9145 MetaLoss:0.4393 Prec@1 86.00 Prec_meta@1 89.00
Epoch: [56/80] Iters: [251/490] Loss: 2.9150 MetaLoss:0.4359 Prec@1 89.00 Prec_meta@1 87.00
Epoch: [56/80] Iters: [301/490] Loss: 2.9040 MetaLoss:0.4383 Prec@1 84.00 Prec_meta@1 88.00
Epoch: [56/80] Iters: [351/490] Loss: 2.9178 MetaLoss:0.4369 Prec@1 85.00 Prec_meta@1 85.00
Epoch: [56/80] Iters: [401/490] Loss: 2.9213 MetaLoss:0.4367 Prec@1 81.00 Prec_meta@1 83.00
Epoch: [56/80] Iters: [451/490] Loss: 2.9184 MetaLoss:0.4373 Prec@1 84.00 Prec_meta@1 80.00
Test set: Average loss: 0.6087, Accuracy: 7968/10000 (79.6800%)
lr 0.02061073738537635
Current Epoch: 56
Epoch: [57/80] Iters: [1/490] Loss: 2.5865 MetaLoss:0.3118 Prec@1 87.00 Prec_meta@1 90.00
Epoch: [57/80] Iters: [51/490] Loss: 2.9279 MetaLoss:0.4273 Prec@1 86.00 Prec_meta@1 84.00
Epoch: [57/80] Iters: [101/490] Loss: 2.9250 MetaLoss:0.4296 Prec@1 87.00 Prec_meta@1 88.00
Epoch: [57/80] Iters: [151/490] Loss: 2.9286 MetaLoss:0.4326 Prec@1 78.00 Prec_meta@1 89.00
Epoch: [57/80] Iters: [201/490] Loss: 2.9458 MetaLoss:0.4243 Prec@1 90.00 Prec_meta@1 87.00
Epoch: [57/80] Iters: [251/490] Loss: 2.9124 MetaLoss:0.4266 Prec@1 85.00 Prec_meta@1 84.00
Epoch: [57/80] Iters: [301/490] Loss: 2.9027 MetaLoss:0.4283 Prec@1 84.00 Prec_meta@1 83.00
Epoch: [57/80] Iters: [351/490] Loss: 2.9092 MetaLoss:0.4274 Prec@1 83.00 Prec_meta@1 84.00
Epoch: [57/80] Iters: [401/490] Loss: 2.9271 MetaLoss:0.4233 Prec@1 93.00 Prec_meta@1 89.00
Epoch: [57/80] Iters: [451/490] Loss: 2.9306 MetaLoss:0.4213 Prec@1 82.00 Prec_meta@1 77.00
Test set: Average loss: 0.5179, Accuracy: 8328/10000 (83.2800%)
lr 0.019045302534508313
Current Epoch: 57
Epoch: [58/80] Iters: [1/490] Loss: 2.8704 MetaLoss:0.3643 Prec@1 86.00 Prec_meta@1 84.00
Epoch: [58/80] Iters: [51/490] Loss: 2.8897 MetaLoss:0.4033 Prec@1 87.00 Prec_meta@1 85.00
Epoch: [58/80] Iters: [101/490] Loss: 2.9418 MetaLoss:0.3980 Prec@1 86.00 Prec_meta@1 88.00
Epoch: [58/80] Iters: [151/490] Loss: 2.9482 MetaLoss:0.3997 Prec@1 92.00 Prec_meta@1 82.00
Epoch: [58/80] Iters: [201/490] Loss: 2.9018 MetaLoss:0.4045 Prec@1 82.00 Prec_meta@1 87.00
Epoch: [58/80] Iters: [251/490] Loss: 2.9137 MetaLoss:0.4033 Prec@1 91.00 Prec_meta@1 90.00
Epoch: [58/80] Iters: [301/490] Loss: 2.9158 MetaLoss:0.4029 Prec@1 85.00 Prec_meta@1 91.00
Epoch: [58/80] Iters: [351/490] Loss: 2.9189 MetaLoss:0.4049 Prec@1 81.00 Prec_meta@1 85.00
Epoch: [58/80] Iters: [401/490] Loss: 2.9340 MetaLoss:0.4033 Prec@1 89.00 Prec_meta@1 91.00
Epoch: [58/80] Iters: [451/490] Loss: 2.9441 MetaLoss:0.4031 Prec@1 88.00 Prec_meta@1 89.00
Test set: Average loss: 0.4666, Accuracy: 8460/10000 (84.6000%)
lr 0.017527597583490824
Current Epoch: 58
Epoch: [59/80] Iters: [1/490] Loss: 2.7174 MetaLoss:0.4817 Prec@1 85.00 Prec_meta@1 81.00
Epoch: [59/80] Iters: [51/490] Loss: 2.9217 MetaLoss:0.3827 Prec@1 85.00 Prec_meta@1 87.00
Epoch: [59/80] Iters: [101/490] Loss: 2.9774 MetaLoss:0.3863 Prec@1 86.00 Prec_meta@1 89.00
Epoch: [59/80] Iters: [151/490] Loss: 2.9412 MetaLoss:0.3913 Prec@1 85.00 Prec_meta@1 94.00
Epoch: [59/80] Iters: [201/490] Loss: 2.9506 MetaLoss:0.4004 Prec@1 92.00 Prec_meta@1 85.00
Epoch: [59/80] Iters: [251/490] Loss: 2.9408 MetaLoss:0.4023 Prec@1 83.00 Prec_meta@1 86.00
Epoch: [59/80] Iters: [301/490] Loss: 2.9431 MetaLoss:0.4013 Prec@1 83.00 Prec_meta@1 84.00
Epoch: [59/80] Iters: [351/490] Loss: 2.9499 MetaLoss:0.4020 Prec@1 84.00 Prec_meta@1 86.00
Epoch: [59/80] Iters: [401/490] Loss: 2.9277 MetaLoss:0.4042 Prec@1 85.00 Prec_meta@1 82.00
Epoch: [59/80] Iters: [451/490] Loss: 2.9326 MetaLoss:0.4050 Prec@1 87.00 Prec_meta@1 85.00
Test set: Average loss: 0.4389, Accuracy: 8538/10000 (85.3800%)
lr 0.016059962723352923
Current Epoch: 59