I got some val loss like :
checkpoint...
Step: 46255. Epoch: 6/500. Iteration: 6608/6608. Cls loss: 0.18054. Reg loss: 0.02094. Total loss: 0.20148: 100%|โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ| 6608/6608 [2:08:43<00:00, 1.17s/it]
Val. Epoch: 6/500. Classification loss: 0.03633. Regression loss: 0.00822. Total loss: 0.04455
Step: 46499. Epoch: 7/500. Iteration: 244/6608. Cls loss: 0.00766. Reg loss: 0.00198. Total loss: 0.00964: 4%|โโโโโโ | 243/6608 [04:48<2:11:44, 1.24s/it]checkpoint...
Step: 46999. Epoch: 7/500. Iteration: 744/6608. Cls loss: 0.00368. Reg loss: 0.00297. Total loss: 0.00665: 11%|โโโโโโโโโโโโโโโโโ | 743/6608 [14:41<1:54:09, 1.17s/it]checkpoint...
Step: 47086. Epoch: 7/500. Iteration: 831/6608. Cls loss: 0.03998. Reg loss: 0.00191. Total loss: 0.04190: 13%|โโโโโโโโโโโโโโโโโโโ | 831/6608 [16:23<1:47:45, 1.12s/it]Step: 47087. Epoch: 7/500. Iteration: 832/6608. Cls loss: 0.03041. Reg loss: 0.01038. Total loss: 0.04079: 13%|โโโโโโโโโโโโโโโโโโโ | 832/6608 [16:24<1:46:59, 1.11s/it]Step: 47499. Epoch: 7/500. Iteration: 1244/6608. Cls loss: 0.00419. Reg loss: 0.00390. Total loss: 0.00809: 19%|
Does the val loss is low enough? But my visiualize result is not accurate at all.
same problem.
Oh, it related with many mistakes.
Anyone got this issue probably not change anchor as training. Also be carefully coco using category_id from 1, while most your dataset may from 0, so -1 is not nesscery.
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same problem.