epoch,time,train/loss,metrics/accuracy_top1,metrics/accuracy_top5,val/loss,lr/pg0,lr/pg1,lr/pg2
1,91.9374,0.76262,0.90039,0.99429,0.29181,0.000331699,0.000331699,0.0671618
2,176.693,0.41921,0.89053,0.99455,0.41286,0.000664383,0.000664383,0.0341611
3,260.23,0.39014,0.94553,0.99767,0.16878,0.000994469,0.000994469,0.00115787
4,343.866,0.4193,0.93048,0.99611,0.22887,0.000991232,0.000991232,0.000991232
5,428.49,0.33959,0.95901,0.99896,0.13778,0.000984449,0.000984449,0.000984449
6,510.535,0.28043,0.92918,0.99818,0.19622,0.000975773,0.000975773,0.000975773
7,594.634,0.29147,0.95175,0.99896,0.14807,0.000965239,0.000965239,0.000965239
8,677.681,0.27061,0.96213,0.99974,0.12279,0.000952889,0.000952889,0.000952889
9,761.388,0.24395,0.95927,0.99922,0.11453,0.000938772,0.000938772,0.000938772
10,843.944,0.24273,0.93619,0.99922,0.1631,0.000922942,0.000922942,0.000922942
11,928.982,0.21635,0.95772,1,0.16576,0.000905463,0.000905463,0.000905463
12,1011.11,0.21624,0.96783,0.99948,0.10238,0.000886404,0.000886404,0.000886404
13,1096.36,0.19822,0.94371,0.99974,0.16758,0.000865839,0.000865839,0.000865839
14,1180.39,0.20062,0.94319,1,0.16827,0.000843851,0.000843851,0.000843851
15,1265.16,0.1906,0.95175,1,0.13278,0.000820525,0.000820525,0.000820525
16,1347.05,0.18857,0.95642,0.99974,0.13816,0.000795954,0.000795954,0.000795954
17,1431.84,0.17406,0.95979,0.99896,0.14026,0.000770234,0.000770234,0.000770234
18,1514.18,0.16565,0.90636,0.99974,0.31113,0.000743468,0.000743468,0.000743468
19,1599.03,0.17629,0.96187,0.99948,0.10865,0.000715761,0.000715761,0.000715761
20,1682.6,0.15132,0.95512,0.99948,0.12919,0.000687222,0.000687222,0.000687222
21,1769.2,0.15344,0.9572,0.99974,0.12319,0.000657963,0.000657963,0.000657963
22,1854.73,0.13915,0.96291,0.99948,0.12471,0.000628101,0.000628101,0.000628101