|
- Namespace(batch_size=32, class_num=2, data_path='/home/ma-user/work/data/Covid-Classification/train', dataset='covid', device_id=0, device_num=1, device_target='Ascend', epochs=100, keep_checkpoint_max=1, label_smooth_factor=0.1, loss_scale=1024, lr_init=0.01, lr_max=0.1, momentum=0.9, net='resnet50', pre_trained=None, run_distribute=False, save_checkpoint=True, save_checkpoint_epochs=5, save_ckpt_path='ckpt', use_label_smooth=False, warmup_epochs=5, weight_decay=0.0001)
- Using resnet50
- [WARNING] ME(111513:281472984764816,MainProcess):2021-11-23-09:37:09.907.80 [mindspore/common/_decorator.py:33] 'TensorAdd' is deprecated from version 1.1 and will be removed in a future version, use 'Add' instead.
- [WARNING] ME(111513:281472984764816,MainProcess):2021-11-23-09:37:09.115.564 [mindspore/common/_decorator.py:33] 'TensorAdd' is deprecated from version 1.1 and will be removed in a future version, use 'Add' instead.
- [WARNING] ME(111513:281472984764816,MainProcess):2021-11-23-09:37:09.141.559 [mindspore/common/_decorator.py:33] 'TensorAdd' is deprecated from version 1.1 and will be removed in a future version, use 'Add' instead.
- [WARNING] ME(111513:281472984764816,MainProcess):2021-11-23-09:37:09.195.774 [mindspore/common/_decorator.py:33] 'TensorAdd' is deprecated from version 1.1 and will be removed in a future version, use 'Add' instead.
- [WARNING] ME(111513:281472984764816,MainProcess):2021-11-23-09:37:09.235.083 [mindspore/common/_decorator.py:33] 'TensorAdd' is deprecated from version 1.1 and will be removed in a future version, use 'Add' instead.
- [WARNING] ME(111513:281472984764816,MainProcess):2021-11-23-09:37:09.274.473 [mindspore/common/_decorator.py:33] 'TensorAdd' is deprecated from version 1.1 and will be removed in a future version, use 'Add' instead.
- [WARNING] ME(111513:281472984764816,MainProcess):2021-11-23-09:37:09.313.743 [mindspore/common/_decorator.py:33] 'TensorAdd' is deprecated from version 1.1 and will be removed in a future version, use 'Add' instead.
- [WARNING] ME(111513:281472984764816,MainProcess):2021-11-23-09:37:09.449.143 [mindspore/common/_decorator.py:33] 'TensorAdd' is deprecated from version 1.1 and will be removed in a future version, use 'Add' instead.
- [WARNING] ME(111513:281472984764816,MainProcess):2021-11-23-09:37:09.546.297 [mindspore/common/_decorator.py:33] 'TensorAdd' is deprecated from version 1.1 and will be removed in a future version, use 'Add' instead.
- [WARNING] ME(111513:281472984764816,MainProcess):2021-11-23-09:37:09.644.258 [mindspore/common/_decorator.py:33] 'TensorAdd' is deprecated from version 1.1 and will be removed in a future version, use 'Add' instead.
- [WARNING] ME(111513:281472984764816,MainProcess):2021-11-23-09:37:09.741.992 [mindspore/common/_decorator.py:33] 'TensorAdd' is deprecated from version 1.1 and will be removed in a future version, use 'Add' instead.
- [WARNING] ME(111513:281472984764816,MainProcess):2021-11-23-09:37:09.839.534 [mindspore/common/_decorator.py:33] 'TensorAdd' is deprecated from version 1.1 and will be removed in a future version, use 'Add' instead.
- [WARNING] ME(111513:281472984764816,MainProcess):2021-11-23-09:37:09.942.135 [mindspore/common/_decorator.py:33] 'TensorAdd' is deprecated from version 1.1 and will be removed in a future version, use 'Add' instead.
- [WARNING] ME(111513:281472984764816,MainProcess):2021-11-23-09:37:10.399.552 [mindspore/common/_decorator.py:33] 'TensorAdd' is deprecated from version 1.1 and will be removed in a future version, use 'Add' instead.
- [WARNING] ME(111513:281472984764816,MainProcess):2021-11-23-09:37:10.727.166 [mindspore/common/_decorator.py:33] 'TensorAdd' is deprecated from version 1.1 and will be removed in a future version, use 'Add' instead.
- [WARNING] ME(111513:281472984764816,MainProcess):2021-11-23-09:37:11.554.41 [mindspore/common/_decorator.py:33] 'TensorAdd' is deprecated from version 1.1 and will be removed in a future version, use 'Add' instead.
- ## epoch start ##
- [WARNING] SESSION(111513,fffe1bfff1e0,python):2021-11-23-09:37:35.797.628 [mindspore/ccsrc/backend/session/ascend_session.cc:1377] SelectKernel] There are 53 node/nodes used raise precision to selected the kernel!
- [WARNING] PRE_ACT(111513,fffe1bfff1e0,python):2021-11-23-09:37:45.349.407 [mindspore/ccsrc/backend/optimizer/somas/somas.cc:279] UpdateTensorsOffset] Mismatch size of tensor 581 0 vs 16896
- epoch: 1 step: 111, loss is 0.8241224
- epoch time: 36789.631 ms, per step time: 331.438 ms
- [WARNING] SESSION(111513,fffe1bfff1e0,python):2021-11-23-09:37:59.157.556 [mindspore/ccsrc/backend/session/ascend_session.cc:1377] SelectKernel] There are 53 node/nodes used raise precision to selected the kernel!
- Epoch 1/100, Eval_top_1_accuracy:0.48057432432432434, EvalTime 15s
- ## epoch start ##
- epoch: 2 step: 111, loss is 0.4711124
- epoch time: 2136.418 ms, per step time: 19.247 ms
- Epoch 2/100, Eval_top_1_accuracy:0.48057432432432434, EvalTime 2s
- ## epoch start ##
- epoch: 3 step: 111, loss is 0.54753673
- epoch time: 2135.629 ms, per step time: 19.240 ms
- Epoch 3/100, Eval_top_1_accuracy:0.5329391891891891, EvalTime 2s
- ## epoch start ##
- epoch: 4 step: 111, loss is 0.49491337
- epoch time: 2130.793 ms, per step time: 19.196 ms
- Epoch 4/100, Eval_top_1_accuracy:0.7212837837837838, EvalTime 2s
- ## epoch start ##
- epoch: 5 step: 111, loss is 0.6186683
- epoch time: 4027.405 ms, per step time: 36.283 ms
- Epoch 5/100, Eval_top_1_accuracy:0.6931306306306306, EvalTime 2s
- ## epoch start ##
- epoch: 6 step: 111, loss is 0.5657031
- epoch time: 2129.804 ms, per step time: 19.187 ms
- Epoch 6/100, Eval_top_1_accuracy:0.7533783783783784, EvalTime 2s
- ## epoch start ##
- epoch: 7 step: 111, loss is 0.4583911
- epoch time: 2128.569 ms, per step time: 19.176 ms
- Epoch 7/100, Eval_top_1_accuracy:0.48057432432432434, EvalTime 2s
- ## epoch start ##
- epoch: 8 step: 111, loss is 0.3896703
- epoch time: 2132.657 ms, per step time: 19.213 ms
- Epoch 8/100, Eval_top_1_accuracy:0.7516891891891891, EvalTime 2s
- ## epoch start ##
- epoch: 9 step: 111, loss is 0.3219781
- epoch time: 2127.741 ms, per step time: 19.169 ms
- Epoch 9/100, Eval_top_1_accuracy:0.7888513513513513, EvalTime 2s
- ## epoch start ##
- epoch: 10 step: 111, loss is 0.36077732
- epoch time: 3879.447 ms, per step time: 34.950 ms
- Epoch 10/100, Eval_top_1_accuracy:0.8355855855855856, EvalTime 2s
- ## epoch start ##
- epoch: 11 step: 111, loss is 0.4045902
- epoch time: 2129.444 ms, per step time: 19.184 ms
- Epoch 11/100, Eval_top_1_accuracy:0.8307995495495496, EvalTime 2s
- ## epoch start ##
- epoch: 12 step: 111, loss is 0.40433636
- epoch time: 2129.167 ms, per step time: 19.182 ms
- Epoch 12/100, Eval_top_1_accuracy:0.8640202702702703, EvalTime 2s
- ## epoch start ##
- epoch: 13 step: 111, loss is 0.39368424
- epoch time: 2134.827 ms, per step time: 19.233 ms
- Epoch 13/100, Eval_top_1_accuracy:0.7944819819819819, EvalTime 2s
- ## epoch start ##
- epoch: 14 step: 111, loss is 0.21785298
- epoch time: 2129.232 ms, per step time: 19.182 ms
- Epoch 14/100, Eval_top_1_accuracy:0.8721846846846847, EvalTime 1s
- ## epoch start ##
- epoch: 15 step: 111, loss is 0.493969
- epoch time: 4154.311 ms, per step time: 37.426 ms
- Epoch 15/100, Eval_top_1_accuracy:0.9009009009009009, EvalTime 2s
- ## epoch start ##
- epoch: 16 step: 111, loss is 0.30824417
- epoch time: 2180.630 ms, per step time: 19.645 ms
- Epoch 16/100, Eval_top_1_accuracy:0.8952702702702703, EvalTime 2s
- ## epoch start ##
- epoch: 17 step: 111, loss is 0.21857108
- epoch time: 2135.514 ms, per step time: 19.239 ms
- Epoch 17/100, Eval_top_1_accuracy:0.9056869369369369, EvalTime 2s
- ## epoch start ##
- epoch: 18 step: 111, loss is 0.43866313
- epoch time: 2135.140 ms, per step time: 19.235 ms
- Epoch 18/100, Eval_top_1_accuracy:0.8983671171171171, EvalTime 2s
- ## epoch start ##
- epoch: 19 step: 111, loss is 0.18237898
- epoch time: 2127.428 ms, per step time: 19.166 ms
- Epoch 19/100, Eval_top_1_accuracy:0.8606418918918919, EvalTime 2s
- ## epoch start ##
- epoch: 20 step: 111, loss is 0.34498435
- epoch time: 4057.475 ms, per step time: 36.554 ms
- Epoch 20/100, Eval_top_1_accuracy:0.9169481981981982, EvalTime 2s
- ## epoch start ##
- epoch: 21 step: 111, loss is 0.23348677
- epoch time: 2127.966 ms, per step time: 19.171 ms
- Epoch 21/100, Eval_top_1_accuracy:0.9079391891891891, EvalTime 2s
- ## epoch start ##
- epoch: 22 step: 111, loss is 0.3972767
- epoch time: 2134.263 ms, per step time: 19.228 ms
- Epoch 22/100, Eval_top_1_accuracy:0.9186373873873874, EvalTime 2s
- ## epoch start ##
- epoch: 23 step: 111, loss is 0.20683844
- epoch time: 2128.309 ms, per step time: 19.174 ms
- Epoch 23/100, Eval_top_1_accuracy:0.9101914414414415, EvalTime 2s
- ## epoch start ##
- epoch: 24 step: 111, loss is 0.40439653
- epoch time: 2141.411 ms, per step time: 19.292 ms
- Epoch 24/100, Eval_top_1_accuracy:0.8879504504504504, EvalTime 2s
- ## epoch start ##
- epoch: 25 step: 111, loss is 0.30392045
- epoch time: 4080.287 ms, per step time: 36.759 ms
- Epoch 25/100, Eval_top_1_accuracy:0.8856981981981982, EvalTime 2s
- ## epoch start ##
- epoch: 26 step: 111, loss is 0.27349836
- epoch time: 2129.375 ms, per step time: 19.184 ms
- Epoch 26/100, Eval_top_1_accuracy:0.9206081081081081, EvalTime 2s
- ## epoch start ##
- epoch: 27 step: 111, loss is 0.27942604
- epoch time: 2128.243 ms, per step time: 19.173 ms
- Epoch 27/100, Eval_top_1_accuracy:0.6911599099099099, EvalTime 2s
- ## epoch start ##
- epoch: 28 step: 111, loss is 0.24532047
- epoch time: 2128.120 ms, per step time: 19.172 ms
- Epoch 28/100, Eval_top_1_accuracy:0.5892454954954955, EvalTime 2s
- ## epoch start ##
- epoch: 29 step: 111, loss is 0.50906235
- epoch time: 2129.348 ms, per step time: 19.183 ms
- Epoch 29/100, Eval_top_1_accuracy:0.9208896396396397, EvalTime 2s
- ## epoch start ##
- epoch: 30 step: 111, loss is 0.302874
- epoch time: 4148.103 ms, per step time: 37.370 ms
- Epoch 30/100, Eval_top_1_accuracy:0.9256756756756757, EvalTime 2s
- ## epoch start ##
- epoch: 31 step: 111, loss is 0.12663306
- epoch time: 2129.769 ms, per step time: 19.187 ms
- Epoch 31/100, Eval_top_1_accuracy:0.920045045045045, EvalTime 2s
- ## epoch start ##
- epoch: 32 step: 111, loss is 0.22604829
- epoch time: 2131.733 ms, per step time: 19.205 ms
- Epoch 32/100, Eval_top_1_accuracy:0.8994932432432432, EvalTime 2s
- ## epoch start ##
- epoch: 33 step: 111, loss is 0.31144768
- epoch time: 2134.119 ms, per step time: 19.226 ms
- Epoch 33/100, Eval_top_1_accuracy:0.9307432432432432, EvalTime 2s
- ## epoch start ##
- epoch: 34 step: 111, loss is 0.35225394
- epoch time: 2127.048 ms, per step time: 19.163 ms
- Epoch 34/100, Eval_top_1_accuracy:0.9186373873873874, EvalTime 2s
- ## epoch start ##
- epoch: 35 step: 111, loss is 0.40427738
- epoch time: 3973.551 ms, per step time: 35.798 ms
- Epoch 35/100, Eval_top_1_accuracy:0.7618243243243243, EvalTime 2s
- ## epoch start ##
- epoch: 36 step: 111, loss is 0.4070345
- epoch time: 2127.502 ms, per step time: 19.167 ms
- Epoch 36/100, Eval_top_1_accuracy:0.8116554054054054, EvalTime 2s
- ## epoch start ##
- epoch: 37 step: 111, loss is 0.3048122
- epoch time: 2127.150 ms, per step time: 19.164 ms
- Epoch 37/100, Eval_top_1_accuracy:0.9439752252252253, EvalTime 2s
- ## epoch start ##
- epoch: 38 step: 111, loss is 0.17251116
- epoch time: 2128.253 ms, per step time: 19.173 ms
- Epoch 38/100, Eval_top_1_accuracy:0.9163851351351351, EvalTime 2s
- ## epoch start ##
- epoch: 39 step: 111, loss is 0.27251124
- epoch time: 2128.022 ms, per step time: 19.171 ms
- Epoch 39/100, Eval_top_1_accuracy:0.7609797297297297, EvalTime 2s
- ## epoch start ##
- epoch: 40 step: 111, loss is 0.12166387
- epoch time: 3621.590 ms, per step time: 32.627 ms
- Epoch 40/100, Eval_top_1_accuracy:0.8381193693693694, EvalTime 2s
- ## epoch start ##
- epoch: 41 step: 111, loss is 0.3049726
- epoch time: 2127.037 ms, per step time: 19.162 ms
- Epoch 41/100, Eval_top_1_accuracy:0.870777027027027, EvalTime 2s
- ## epoch start ##
- epoch: 42 step: 111, loss is 0.26495203
- epoch time: 2127.023 ms, per step time: 19.162 ms
- Epoch 42/100, Eval_top_1_accuracy:0.9487612612612613, EvalTime 2s
- ## epoch start ##
- epoch: 43 step: 111, loss is 0.29017645
- epoch time: 2126.844 ms, per step time: 19.161 ms
- Epoch 43/100, Eval_top_1_accuracy:0.8856981981981982, EvalTime 2s
- ## epoch start ##
- epoch: 44 step: 111, loss is 0.35967225
- epoch time: 2126.820 ms, per step time: 19.161 ms
- Epoch 44/100, Eval_top_1_accuracy:0.9304617117117117, EvalTime 2s
- ## epoch start ##
- epoch: 45 step: 111, loss is 0.4044209
- epoch time: 3586.446 ms, per step time: 32.310 ms
- Epoch 45/100, Eval_top_1_accuracy:0.9498873873873874, EvalTime 2s
- ## epoch start ##
- epoch: 46 step: 111, loss is 0.097815126
- epoch time: 2128.209 ms, per step time: 19.173 ms
- Epoch 46/100, Eval_top_1_accuracy:0.9527027027027027, EvalTime 2s
- ## epoch start ##
- epoch: 47 step: 111, loss is 0.19393161
- epoch time: 2128.502 ms, per step time: 19.176 ms
- Epoch 47/100, Eval_top_1_accuracy:0.7961711711711712, EvalTime 2s
- ## epoch start ##
- epoch: 48 step: 111, loss is 0.26219618
- epoch time: 2129.404 ms, per step time: 19.184 ms
- Epoch 48/100, Eval_top_1_accuracy:0.9481981981981982, EvalTime 2s
- ## epoch start ##
- epoch: 49 step: 111, loss is 0.23376012
- epoch time: 2128.280 ms, per step time: 19.174 ms
- Epoch 49/100, Eval_top_1_accuracy:0.9543918918918919, EvalTime 2s
- ## epoch start ##
- epoch: 50 step: 111, loss is 0.204704
- epoch time: 3571.697 ms, per step time: 32.177 ms
- Epoch 50/100, Eval_top_1_accuracy:0.9515765765765766, EvalTime 2s
- ## epoch start ##
- epoch: 51 step: 111, loss is 0.22085571
- epoch time: 2127.771 ms, per step time: 19.169 ms
- Epoch 51/100, Eval_top_1_accuracy:0.9445382882882883, EvalTime 2s
- ## epoch start ##
- epoch: 52 step: 111, loss is 0.2400706
- epoch time: 2127.359 ms, per step time: 19.165 ms
- Epoch 52/100, Eval_top_1_accuracy:0.9298986486486487, EvalTime 2s
- ## epoch start ##
- epoch: 53 step: 111, loss is 0.18454114
- epoch time: 2127.499 ms, per step time: 19.167 ms
- Epoch 53/100, Eval_top_1_accuracy:0.9411599099099099, EvalTime 2s
- ## epoch start ##
- epoch: 54 step: 111, loss is 0.21512288
- epoch time: 2128.430 ms, per step time: 19.175 ms
- Epoch 54/100, Eval_top_1_accuracy:0.956081081081081, EvalTime 2s
- ## epoch start ##
- epoch: 55 step: 111, loss is 0.06640331
- epoch time: 4207.959 ms, per step time: 37.910 ms
- Epoch 55/100, Eval_top_1_accuracy:0.964527027027027, EvalTime 2s
- ## epoch start ##
- epoch: 56 step: 111, loss is 0.18843065
- epoch time: 2129.352 ms, per step time: 19.183 ms
- Epoch 56/100, Eval_top_1_accuracy:0.9591779279279279, EvalTime 2s
- ## epoch start ##
- epoch: 57 step: 111, loss is 0.18009555
- epoch time: 2130.342 ms, per step time: 19.192 ms
- Epoch 57/100, Eval_top_1_accuracy:0.9603040540540541, EvalTime 2s
- ## epoch start ##
- epoch: 58 step: 111, loss is 0.7132735
- epoch time: 2128.087 ms, per step time: 19.172 ms
- Epoch 58/100, Eval_top_1_accuracy:0.9459459459459459, EvalTime 2s
- ## epoch start ##
- epoch: 59 step: 111, loss is 0.08075934
- epoch time: 2129.516 ms, per step time: 19.185 ms
- Epoch 59/100, Eval_top_1_accuracy:0.9628378378378378, EvalTime 2s
- ## epoch start ##
- epoch: 60 step: 111, loss is 0.15052666
- epoch time: 3881.930 ms, per step time: 34.972 ms
- Epoch 60/100, Eval_top_1_accuracy:0.9518581081081081, EvalTime 2s
- ## epoch start ##
- epoch: 61 step: 111, loss is 0.17315494
- epoch time: 2131.226 ms, per step time: 19.200 ms
- Epoch 61/100, Eval_top_1_accuracy:0.9667792792792793, EvalTime 2s
- ## epoch start ##
- epoch: 62 step: 111, loss is 0.19458258
- epoch time: 2129.649 ms, per step time: 19.186 ms
- Epoch 62/100, Eval_top_1_accuracy:0.9535472972972973, EvalTime 2s
- ## epoch start ##
- epoch: 63 step: 111, loss is 0.25125128
- epoch time: 2131.875 ms, per step time: 19.206 ms
- Epoch 63/100, Eval_top_1_accuracy:0.9290540540540541, EvalTime 2s
- ## epoch start ##
- epoch: 64 step: 111, loss is 0.084702
- epoch time: 2128.772 ms, per step time: 19.178 ms
- Epoch 64/100, Eval_top_1_accuracy:0.9608671171171171, EvalTime 2s
- ## epoch start ##
- epoch: 65 step: 111, loss is 0.24228965
- epoch time: 4153.901 ms, per step time: 37.423 ms
- Epoch 65/100, Eval_top_1_accuracy:0.9577702702702703, EvalTime 2s
- ## epoch start ##
- epoch: 66 step: 111, loss is 0.28348488
- epoch time: 2130.388 ms, per step time: 19.193 ms
- Epoch 66/100, Eval_top_1_accuracy:0.9698761261261262, EvalTime 2s
- ## epoch start ##
- epoch: 67 step: 111, loss is 0.20506293
- epoch time: 2130.461 ms, per step time: 19.193 ms
- Epoch 67/100, Eval_top_1_accuracy:0.9580518018018018, EvalTime 2s
- ## epoch start ##
- epoch: 68 step: 111, loss is 0.31376457
- epoch time: 2130.569 ms, per step time: 19.194 ms
- Epoch 68/100, Eval_top_1_accuracy:0.9529842342342343, EvalTime 2s
- ## epoch start ##
- epoch: 69 step: 111, loss is 0.16498654
- epoch time: 2134.929 ms, per step time: 19.234 ms
- Epoch 69/100, Eval_top_1_accuracy:0.9636824324324325, EvalTime 2s
- ## epoch start ##
- epoch: 70 step: 111, loss is 0.1363653
- epoch time: 3903.803 ms, per step time: 35.169 ms
- Epoch 70/100, Eval_top_1_accuracy:0.9746621621621622, EvalTime 2s
- ## epoch start ##
- epoch: 71 step: 111, loss is 0.2637783
- epoch time: 2133.527 ms, per step time: 19.221 ms
- Epoch 71/100, Eval_top_1_accuracy:0.9679054054054054, EvalTime 2s
- ## epoch start ##
- epoch: 72 step: 111, loss is 0.20943148
- epoch time: 2131.554 ms, per step time: 19.203 ms
- Epoch 72/100, Eval_top_1_accuracy:0.9673423423423423, EvalTime 2s
- ## epoch start ##
- epoch: 73 step: 111, loss is 0.12885368
- epoch time: 2130.763 ms, per step time: 19.196 ms
- Epoch 73/100, Eval_top_1_accuracy:0.9701576576576577, EvalTime 2s
- ## epoch start ##
- epoch: 74 step: 111, loss is 0.17178857
- epoch time: 2131.843 ms, per step time: 19.206 ms
- Epoch 74/100, Eval_top_1_accuracy:0.9783220720720721, EvalTime 2s
- ## epoch start ##
- epoch: 75 step: 111, loss is 0.04281741
- epoch time: 4155.109 ms, per step time: 37.433 ms
- Epoch 75/100, Eval_top_1_accuracy:0.9653716216216216, EvalTime 2s
- ## epoch start ##
- epoch: 76 step: 111, loss is 0.19032767
- epoch time: 2132.922 ms, per step time: 19.216 ms
- Epoch 76/100, Eval_top_1_accuracy:0.9755067567567568, EvalTime 2s
- ## epoch start ##
- epoch: 77 step: 111, loss is 0.1837205
- epoch time: 2130.275 ms, per step time: 19.192 ms
- Epoch 77/100, Eval_top_1_accuracy:0.9732545045045045, EvalTime 2s
- ## epoch start ##
- epoch: 78 step: 111, loss is 0.100033924
- epoch time: 2129.418 ms, per step time: 19.184 ms
- Epoch 78/100, Eval_top_1_accuracy:0.9743806306306306, EvalTime 2s
- ## epoch start ##
- epoch: 79 step: 111, loss is 0.18380904
- epoch time: 2129.234 ms, per step time: 19.182 ms
- Epoch 79/100, Eval_top_1_accuracy:0.9743806306306306, EvalTime 2s
- ## epoch start ##
- epoch: 80 step: 111, loss is 0.083859354
- epoch time: 3608.654 ms, per step time: 32.510 ms
- Epoch 80/100, Eval_top_1_accuracy:0.9783220720720721, EvalTime 2s
- ## epoch start ##
- epoch: 81 step: 111, loss is 0.0810092
- epoch time: 2130.221 ms, per step time: 19.191 ms
- Epoch 81/100, Eval_top_1_accuracy:0.9755067567567568, EvalTime 2s
- ## epoch start ##
- epoch: 82 step: 111, loss is 0.079061724
- epoch time: 2158.337 ms, per step time: 19.444 ms
- Epoch 82/100, Eval_top_1_accuracy:0.9763513513513513, EvalTime 2s
- ## epoch start ##
- epoch: 83 step: 111, loss is 0.068537585
- epoch time: 2130.376 ms, per step time: 19.193 ms
- Epoch 83/100, Eval_top_1_accuracy:0.9769144144144144, EvalTime 2s
- ## epoch start ##
- epoch: 84 step: 111, loss is 0.06629198
- epoch time: 2134.675 ms, per step time: 19.231 ms
- Epoch 84/100, Eval_top_1_accuracy:0.9760698198198198, EvalTime 2s
- ## epoch start ##
- epoch: 85 step: 111, loss is 0.055520087
- epoch time: 4138.917 ms, per step time: 37.288 ms
- Epoch 85/100, Eval_top_1_accuracy:0.977759009009009, EvalTime 2s
- ## epoch start ##
- epoch: 86 step: 111, loss is 0.11241734
- epoch time: 2132.521 ms, per step time: 19.212 ms
- Epoch 86/100, Eval_top_1_accuracy:0.9808558558558559, EvalTime 2s
- ## epoch start ##
- epoch: 87 step: 111, loss is 0.20062186
- epoch time: 2131.231 ms, per step time: 19.200 ms
- Epoch 87/100, Eval_top_1_accuracy:0.9794481981981982, EvalTime 2s
- ## epoch start ##
- epoch: 88 step: 111, loss is 0.16622958
- epoch time: 2132.669 ms, per step time: 19.213 ms
- Epoch 88/100, Eval_top_1_accuracy:0.9819819819819819, EvalTime 2s
- ## epoch start ##
- epoch: 89 step: 111, loss is 0.067922086
- epoch time: 2134.207 ms, per step time: 19.227 ms
- Epoch 89/100, Eval_top_1_accuracy:0.9743806306306306, EvalTime 2s
- ## epoch start ##
- epoch: 90 step: 111, loss is 0.23652224
- epoch time: 3884.412 ms, per step time: 34.995 ms
- Epoch 90/100, Eval_top_1_accuracy:0.981418918918919, EvalTime 2s
- ## epoch start ##
- epoch: 91 step: 111, loss is 0.26661557
- epoch time: 2132.176 ms, per step time: 19.209 ms
- Epoch 91/100, Eval_top_1_accuracy:0.9786036036036037, EvalTime 2s
- ## epoch start ##
- epoch: 92 step: 111, loss is 0.1327002
- epoch time: 2128.946 ms, per step time: 19.180 ms
- Epoch 92/100, Eval_top_1_accuracy:0.9791666666666666, EvalTime 2s
- ## epoch start ##
- epoch: 93 step: 111, loss is 0.114461824
- epoch time: 2131.529 ms, per step time: 19.203 ms
- Epoch 93/100, Eval_top_1_accuracy:0.9783220720720721, EvalTime 2s
- ## epoch start ##
- epoch: 94 step: 111, loss is 0.18199638
- epoch time: 2130.950 ms, per step time: 19.198 ms
- Epoch 94/100, Eval_top_1_accuracy:0.9797297297297297, EvalTime 2s
- ## epoch start ##
- epoch: 95 step: 111, loss is 0.0739462
- epoch time: 4113.057 ms, per step time: 37.055 ms
- Epoch 95/100, Eval_top_1_accuracy:0.9783220720720721, EvalTime 2s
- ## epoch start ##
- epoch: 96 step: 111, loss is 0.075020574
- epoch time: 2130.607 ms, per step time: 19.195 ms
- Epoch 96/100, Eval_top_1_accuracy:0.9800112612612613, EvalTime 2s
- ## epoch start ##
- epoch: 97 step: 111, loss is 0.31150016
- epoch time: 2130.232 ms, per step time: 19.191 ms
- Epoch 97/100, Eval_top_1_accuracy:0.9800112612612613, EvalTime 2s
- ## epoch start ##
- epoch: 98 step: 111, loss is 0.032126173
- epoch time: 2132.072 ms, per step time: 19.208 ms
- Epoch 98/100, Eval_top_1_accuracy:0.9794481981981982, EvalTime 2s
- ## epoch start ##
- epoch: 99 step: 111, loss is 0.14062002
- epoch time: 2139.962 ms, per step time: 19.279 ms
- Epoch 99/100, Eval_top_1_accuracy:0.9808558558558559, EvalTime 2s
- ## epoch start ##
- epoch: 100 step: 111, loss is 0.17192481
- epoch time: 4131.974 ms, per step time: 37.225 ms
- Epoch 100/100, Eval_top_1_accuracy:0.9811373873873874, EvalTime 2s
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