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[2023-10-24 04:07:35,073::train::INFO] [train] Iter 578973 | loss 1.1732 | loss(rot) 1.1227 | loss(pos) 0.0335 | loss(seq) 0.0170 | grad 7.8805 | lr 0.0000 | time_forward 1.5060 | time_backward 1.9340 |
[2023-10-24 04:07:43,391::train::INFO] [train] Iter 578974 | loss 2.7548 | loss(rot) 0.0112 | loss(pos) 2.7432 | loss(seq) 0.0004 | grad 19.5509 | lr 0.0000 | time_forward 3.5860 | time_backward 4.7290 |
[2023-10-24 04:07:51,564::train::INFO] [train] Iter 578975 | loss 0.3009 | loss(rot) 0.0616 | loss(pos) 0.0642 | loss(seq) 0.1752 | grad 2.9412 | lr 0.0000 | time_forward 3.4570 | time_backward 4.7030 |
[2023-10-24 04:07:54,317::train::INFO] [train] Iter 578976 | loss 0.5062 | loss(rot) 0.1449 | loss(pos) 0.1531 | loss(seq) 0.2082 | grad 3.7605 | lr 0.0000 | time_forward 1.2920 | time_backward 1.4580 |
[2023-10-24 04:08:04,158::train::INFO] [train] Iter 578977 | loss 0.9686 | loss(rot) 0.1379 | loss(pos) 0.8218 | loss(seq) 0.0088 | grad 5.4589 | lr 0.0000 | time_forward 4.0240 | time_backward 5.7870 |
[2023-10-24 04:08:12,774::train::INFO] [train] Iter 578978 | loss 0.9873 | loss(rot) 0.9144 | loss(pos) 0.0708 | loss(seq) 0.0021 | grad 3.3925 | lr 0.0000 | time_forward 3.6410 | time_backward 4.9720 |
[2023-10-24 04:08:21,354::train::INFO] [train] Iter 578979 | loss 0.1667 | loss(rot) 0.0657 | loss(pos) 0.0944 | loss(seq) 0.0066 | grad 3.2935 | lr 0.0000 | time_forward 3.4930 | time_backward 5.0850 |
[2023-10-24 04:08:28,426::train::INFO] [train] Iter 578980 | loss 2.1839 | loss(rot) 1.9561 | loss(pos) 0.0909 | loss(seq) 0.1369 | grad 44.4029 | lr 0.0000 | time_forward 3.0250 | time_backward 4.0430 |
[2023-10-24 04:08:37,019::train::INFO] [train] Iter 578981 | loss 0.3426 | loss(rot) 0.2828 | loss(pos) 0.0425 | loss(seq) 0.0174 | grad 3.6789 | lr 0.0000 | time_forward 3.6190 | time_backward 4.9700 |
[2023-10-24 04:08:45,574::train::INFO] [train] Iter 578982 | loss 0.8817 | loss(rot) 0.7842 | loss(pos) 0.0256 | loss(seq) 0.0719 | grad 14.0562 | lr 0.0000 | time_forward 3.6390 | time_backward 4.9120 |
[2023-10-24 04:08:48,247::train::INFO] [train] Iter 578983 | loss 0.2358 | loss(rot) 0.0520 | loss(pos) 0.1730 | loss(seq) 0.0108 | grad 2.5594 | lr 0.0000 | time_forward 1.2360 | time_backward 1.4340 |
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