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[2023-09-01 20:10:53,678::train::INFO] [train] Iter 01883 | loss 2.4884 | loss(rot) 1.1390 | loss(pos) 0.8424 | loss(seq) 0.5071 | grad 4.0097 | lr 0.0010 | time_forward 1.3650 | time_backward 1.5160 |
[2023-09-01 20:11:01,523::train::INFO] [train] Iter 01884 | loss 2.3697 | loss(rot) 1.5298 | loss(pos) 0.3932 | loss(seq) 0.4467 | grad 3.6485 | lr 0.0010 | time_forward 3.3470 | time_backward 4.4930 |
[2023-09-01 20:11:11,742::train::INFO] [train] Iter 01885 | loss 1.5645 | loss(rot) 0.4662 | loss(pos) 1.0481 | loss(seq) 0.0501 | grad 4.1901 | lr 0.0010 | time_forward 4.0810 | time_backward 6.1340 |
[2023-09-01 20:11:20,421::train::INFO] [train] Iter 01886 | loss 2.3996 | loss(rot) 1.3268 | loss(pos) 0.4802 | loss(seq) 0.5927 | grad 3.0749 | lr 0.0010 | time_forward 3.5930 | time_backward 5.0820 |
[2023-09-01 20:11:23,260::train::INFO] [train] Iter 01887 | loss 3.2729 | loss(rot) 2.5008 | loss(pos) 0.4167 | loss(seq) 0.3554 | grad 3.9691 | lr 0.0010 | time_forward 1.2790 | time_backward 1.5550 |
[2023-09-01 20:11:26,649::train::INFO] [train] Iter 01888 | loss 3.4294 | loss(rot) 3.0140 | loss(pos) 0.4108 | loss(seq) 0.0046 | grad 5.4079 | lr 0.0010 | time_forward 1.5000 | time_backward 1.8720 |
[2023-09-01 20:11:29,377::train::INFO] [train] Iter 01889 | loss 3.4622 | loss(rot) 3.1008 | loss(pos) 0.3613 | loss(seq) 0.0000 | grad 3.6834 | lr 0.0010 | time_forward 1.2470 | time_backward 1.4770 |
[2023-09-01 20:11:39,312::train::INFO] [train] Iter 01890 | loss 3.5473 | loss(rot) 3.2463 | loss(pos) 0.3010 | loss(seq) 0.0000 | grad 2.7535 | lr 0.0010 | time_forward 4.1060 | time_backward 5.8250 |
[2023-09-01 20:11:42,192::train::INFO] [train] Iter 01891 | loss 2.5845 | loss(rot) 1.9766 | loss(pos) 0.2716 | loss(seq) 0.3364 | grad 3.4683 | lr 0.0010 | time_forward 1.3680 | time_backward 1.5080 |
[2023-09-01 20:11:47,928::train::INFO] [train] Iter 01892 | loss 3.9606 | loss(rot) 0.0447 | loss(pos) 3.9114 | loss(seq) 0.0045 | grad 8.6558 | lr 0.0010 | time_forward 2.3370 | time_backward 3.3620 |
[2023-09-01 20:11:55,561::train::INFO] [train] Iter 01893 | loss 3.3833 | loss(rot) 3.1653 | loss(pos) 0.2173 | loss(seq) 0.0007 | grad 1.8042 | lr 0.0010 | time_forward 3.2340 | time_backward 4.3950 |
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