[Epoch 0/150][Iter 0/86][lr 0.000000][Loss: anchor 9.16, iou 8.31, l1 35.46, conf 99672.05, cls 16.66, imgsize 608, time: 26.08]
[Epoch 0/150][Iter 10/86][lr 0.000000][Loss: anchor 18.68, iou 18.18, l1 101.71, conf 2369.89, cls 39.56, imgsize 608, time: 39.37]
[Epoch 0/150][Iter 20/86][lr 0.000003][Loss: anchor nan, iou nan, l1 nan, conf nan, cls nan, imgsize 416, time: 45.88]
[Epoch 0/150][Iter 30/86][lr 0.000015][Loss: anchor nan, iou nan, l1 nan, conf nan, cls nan, imgsize 352, time: 26.93]
[Epoch 0/150][Iter 40/86][lr 0.000047][Loss: anchor nan, iou nan, l1 nan, conf nan, cls nan, imgsize 384, time: 24.05]
[Epoch 0/150][Iter 50/86][lr 0.000114][Loss: anchor nan, iou nan, l1 nan, conf nan, cls nan, imgsize 480, time: 30.52]
[Epoch 0/150][Iter 60/86][lr 0.000237][Loss: anchor nan, iou nan, l1 nan, conf nan, cls nan, imgsize 576, time: 39.93]
[Epoch 0/150][Iter 70/86][lr 0.000439][Loss: anchor nan, iou nan, l1 nan, conf nan, cls nan, imgsize 480, time: 32.17]
[Epoch 0/150][Iter 80/86][lr 0.000749][Loss: anchor nan, iou nan, l1 nan, conf nan, cls nan, imgsize 448, time: 36.69]
[Epoch 1/150][Iter 0/86][lr 0.001000][Loss: anchor nan, iou nan, l1 nan, conf nan, cls nan, imgsize 352, time: 23.47]
[Epoch 1/150][Iter 10/86][lr 0.001000][Loss: anchor nan, iou nan, l1 nan, conf nan, cls nan, imgsize 352, time: 15.24]
[Epoch 1/150][Iter 20/86][lr 0.001000][Loss: anchor nan, iou nan, l1 nan, conf nan, cls nan, imgsize 512, time: 34.18]
[Epoch 1/150][Iter 30/86][lr 0.001000][Loss: anchor nan, iou nan, l1 nan, conf nan, cls nan, imgsize 544, time: 48.47]
[Epoch 1/150][Iter 40/86][lr 0.001000][Loss: anchor nan, iou nan, l1 nan, conf nan, cls nan, imgsize 416, time: 28.83]
[Epoch 1/150][Iter 50/86][lr 0.001000][Loss: anchor nan, iou nan, l1 nan, conf nan, cls nan, imgsize 416, time: 19.87]
[Epoch 1/150][Iter 60/86][lr 0.001000][Loss: anchor nan, iou nan, l1 nan, conf nan, cls nan, imgsize 352, time: 18.90]
[Epoch 1/150][Iter 70/86][lr 0.001000][Loss: anchor nan, iou nan, l1 nan, conf nan, cls nan, imgsize 576, time: 19.08]
[Epoch 1/150][Iter 80/86][lr 0.001000][Loss: anchor nan, iou nan, l1 nan, conf nan, cls nan, imgsize 608, time: 34.87]
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yolov3_asff_pt训练自己的数据集nan
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貌似是burn_in期间学习率太大导致nan,但是原论文burnin也不小啊