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epoch, train/loss, metrics/accuracy_top1, metrics/accuracy_top5, val/loss, lr/pg0, lr/pg1, lr/pg2
0, 5.5416, 0.50669, 1, 10.956, 0.070159, 0.0033157, 0.0033157
1, 5.5047, 0.55411, 1, 10.75, 0.040093, 0.0065832, 0.0065832
2, 5.4222, 0.58461, 1, 10.639, 0.0099611, 0.0097847, 0.0097847
3, 5.2532, 0.69717, 1, 9.8313, 0.009703, 0.009703, 0.009703
4, 4.958, 0.73121, 1, 9.2953, 0.009703, 0.009703, 0.009703
5, 4.7642, 0.68044, 1, 9.7063, 0.009604, 0.009604, 0.009604
6, 4.6205, 0.75364, 1, 9.0844, 0.009505, 0.009505, 0.009505
7, 4.5059, 0.72334, 1, 9.3578, 0.009406, 0.009406, 0.009406
8, 4.4169, 0.79418, 1, 8.3141, 0.009307, 0.009307, 0.009307
9, 4.3508, 0.79378, 1, 8.7203, 0.009208, 0.009208, 0.009208
10, 4.2707, 0.80067, 1, 8.4641, 0.009109, 0.009109, 0.009109
11, 4.2023, 0.805, 1, 8.1141, 0.00901, 0.00901, 0.00901
12, 4.1543, 0.82468, 1, 8.2203, 0.008911, 0.008911, 0.008911
13, 4.1146, 0.78867, 1, 8.4797, 0.008812, 0.008812, 0.008812
14, 4.0376, 0.76348, 1, 9.0609, 0.008713, 0.008713, 0.008713
15, 3.9988, 0.84947, 1, 7.6094, 0.008614, 0.008614, 0.008614
16, 3.9219, 0.84632, 1, 7.8945, 0.008515, 0.008515, 0.008515
17, 3.8627, 0.85557, 1, 7.4461, 0.008416, 0.008416, 0.008416
18, 3.8134, 0.82113, 1, 8.1742, 0.008317, 0.008317, 0.008317
19, 3.7674, 0.86364, 1, 7.3414, 0.008218, 0.008218, 0.008218
20, 3.6872, 0.86698, 1, 7.3883, 0.008119, 0.008119, 0.008119
21, 3.6458, 0.88508, 1, 7.0422, 0.00802, 0.00802, 0.00802
22, 3.6013, 0.87682, 1, 7.0398, 0.007921, 0.007921, 0.007921
23, 3.5386, 0.88843, 1, 7.0906, 0.007822, 0.007822, 0.007822
24, 3.5021, 0.90929, 1, 6.7047, 0.007723, 0.007723, 0.007723
25, 3.4811, 0.89709, 1, 6.9242, 0.007624, 0.007624, 0.007624
26, 3.4568, 0.91106, 1, 6.7039, 0.007525, 0.007525, 0.007525
27, 3.4255, 0.90712, 1, 6.6664, 0.007426, 0.007426, 0.007426
28, 3.374, 0.90338, 1, 6.8336, 0.007327, 0.007327, 0.007327
29, 3.3352, 0.91637, 1, 6.5492, 0.007228, 0.007228, 0.007228
30, 3.3159, 0.91558, 1, 6.5406, 0.007129, 0.007129, 0.007129
31, 3.2674, 0.92247, 1, 6.4414, 0.00703, 0.00703, 0.00703
32, 3.2484, 0.92562, 1, 6.3805, 0.006931, 0.006931, 0.006931
33, 3.2061, 0.9205, 1, 6.3875, 0.006832, 0.006832, 0.006832
34, 3.1725, 0.92995, 1, 6.325, 0.006733, 0.006733, 0.006733
35, 3.1673, 0.92641, 1, 6.3453, 0.006634, 0.006634, 0.006634
36, 3.123, 0.92601, 1, 6.2336, 0.006535, 0.006535, 0.006535
37, 3.1132, 0.92778, 1, 6.2602, 0.006436, 0.006436, 0.006436
38, 3.0721, 0.93152, 1, 6.207, 0.006337, 0.006337, 0.006337
39, 3.0491, 0.93664, 1, 6.1188, 0.006238, 0.006238, 0.006238
40, 3.0232, 0.94097, 1, 6.0781, 0.006139, 0.006139, 0.006139
41, 2.9917, 0.939, 1, 6.0617, 0.00604, 0.00604, 0.00604
42, 2.9734, 0.94116, 1, 6.0453, 0.005941, 0.005941, 0.005941
43, 2.9534, 0.94156, 1, 6.0016, 0.005842, 0.005842, 0.005842
44, 2.907, 0.93959, 1, 5.9914, 0.005743, 0.005743, 0.005743
45, 2.8945, 0.94353, 1, 5.9461, 0.005644, 0.005644, 0.005644
46, 2.873, 0.94648, 1, 5.9039, 0.005545, 0.005545, 0.005545
47, 2.8462, 0.94884, 1, 5.9281, 0.005446, 0.005446, 0.005446
48, 2.8267, 0.94923, 1, 5.907, 0.005347, 0.005347, 0.005347
49, 2.8004, 0.94667, 1, 5.8906, 0.005248, 0.005248, 0.005248
50, 2.7884, 0.95081, 1, 5.8547, 0.005149, 0.005149, 0.005149
51, 2.7668, 0.95356, 1, 5.818, 0.00505, 0.00505, 0.00505
52, 2.7351, 0.95651, 1, 5.7719, 0.004951, 0.004951, 0.004951
53, 2.7076, 0.95514, 1, 5.7742, 0.004852, 0.004852, 0.004852
54, 2.697, 0.95553, 1, 5.7711, 0.004753, 0.004753, 0.004753
55, 2.6597, 0.9571, 1, 5.7313, 0.004654, 0.004654, 0.004654
56, 2.6733, 0.95632, 1, 5.7188, 0.004555, 0.004555, 0.004555
57, 2.6115, 0.95553, 1, 5.7164, 0.004456, 0.004456, 0.004456
58, 2.6045, 0.95907, 1, 5.693, 0.004357, 0.004357, 0.004357
59, 2.5843, 0.95828, 1, 5.6852, 0.004258, 0.004258, 0.004258
60, 2.5937, 0.95966, 1, 5.6914, 0.004159, 0.004159, 0.004159
61, 2.5564, 0.96124, 1, 5.6688, 0.00406, 0.00406, 0.00406
62, 2.5377, 0.96242, 1, 5.6602, 0.003961, 0.003961, 0.003961
63, 2.5002, 0.96379, 1, 5.6375, 0.003862, 0.003862, 0.003862
64, 2.4955, 0.96478, 1, 5.6242, 0.003763, 0.003763, 0.003763
65, 2.4717, 0.9636, 1, 5.6102, 0.003664, 0.003664, 0.003664
66, 2.4411, 0.96556, 1, 5.5938, 0.003565, 0.003565, 0.003565
67, 2.4351, 0.96556, 1, 5.5859, 0.003466, 0.003466, 0.003466
68, 2.4095, 0.96497, 1, 5.5828, 0.003367, 0.003367, 0.003367
69, 2.3852, 0.96616, 1, 5.5734, 0.003268, 0.003268, 0.003268
70, 2.373, 0.96596, 1, 5.5672, 0.003169, 0.003169, 0.003169
71, 2.329, 0.96576, 1, 5.5625, 0.00307, 0.00307, 0.00307
72, 2.3093, 0.96635, 1, 5.5516, 0.002971, 0.002971, 0.002971
73, 2.294, 0.96655, 1, 5.5484, 0.002872, 0.002872, 0.002872
74, 2.2737, 0.96675, 1, 5.5414, 0.002773, 0.002773, 0.002773
75, 2.2477, 0.96773, 1, 5.5352, 0.002674, 0.002674, 0.002674
76, 2.2475, 0.96891, 1, 5.5266, 0.002575, 0.002575, 0.002575
77, 2.2049, 0.9697, 1, 5.5203, 0.002476, 0.002476, 0.002476
78, 2.177, 0.9695, 1, 5.5141, 0.002377, 0.002377, 0.002377
79, 2.1432, 0.97029, 1, 5.5055, 0.002278, 0.002278, 0.002278
80, 2.1023, 0.97068, 1, 5.4969, 0.002179, 0.002179, 0.002179
81, 2.0898, 0.97127, 1, 5.4898, 0.00208, 0.00208, 0.00208
82, 2.0706, 0.97127, 1, 5.4828, 0.001981, 0.001981, 0.001981
83, 2.0451, 0.97127, 1, 5.4773, 0.001882, 0.001882, 0.001882
84, 2.0271, 0.97166, 1, 5.4695, 0.001783, 0.001783, 0.001783
85, 1.9841, 0.97245, 1, 5.4648, 0.001684, 0.001684, 0.001684
86, 1.9627, 0.97245, 1, 5.4586, 0.001585, 0.001585, 0.001585
87, 1.9219, 0.97383, 1, 5.4523, 0.001486, 0.001486, 0.001486
88, 1.8855, 0.97442, 1, 5.4461, 0.001387, 0.001387, 0.001387
89, 1.8957, 0.97442, 1, 5.4422, 0.001288, 0.001288, 0.001288
90, 1.8153, 0.97422, 1, 5.4367, 0.001189, 0.001189, 0.001189
91, 1.8152, 0.97422, 1, 5.4352, 0.00109, 0.00109, 0.00109
92, 1.7587, 0.97442, 1, 5.4289, 0.000991, 0.000991, 0.000991
93, 1.735, 0.97403, 1, 5.4266, 0.000892, 0.000892, 0.000892
94, 1.7055, 0.97501, 1, 5.4242, 0.000793, 0.000793, 0.000793
95, 1.6447, 0.9754, 1, 5.4195, 0.000694, 0.000694, 0.000694
96, 1.6172, 0.9754, 1, 5.4156, 0.000595, 0.000595, 0.000595
97, 1.582, 0.9756, 1, 5.4117, 0.000496, 0.000496, 0.000496
98, 1.517, 0.97717, 1, 5.4078, 0.000397, 0.000397, 0.000397
99, 1.4948, 0.97717, 1, 5.4047, 0.000298, 0.000298, 0.000298
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