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[2023-10-25 06:12:48,981::train::INFO] [train] Iter 592558 | loss 1.9781 | loss(rot) 1.2463 | loss(pos) 0.2080 | loss(seq) 0.5239 | grad 4.2998 | lr 0.0000 | time_forward 3.8160 | time_backward 5.0760 |
[2023-10-25 06:12:57,855::train::INFO] [train] Iter 592559 | loss 1.2946 | loss(rot) 0.7790 | loss(pos) 0.1928 | loss(seq) 0.3228 | grad 2.9418 | lr 0.0000 | time_forward 3.7990 | time_backward 5.0710 |
[2023-10-25 06:13:06,679::train::INFO] [train] Iter 592560 | loss 0.7738 | loss(rot) 0.7267 | loss(pos) 0.0364 | loss(seq) 0.0106 | grad 3.1441 | lr 0.0000 | time_forward 3.7700 | time_backward 5.0520 |
[2023-10-25 06:13:14,507::train::INFO] [train] Iter 592561 | loss 0.5693 | loss(rot) 0.0859 | loss(pos) 0.4742 | loss(seq) 0.0092 | grad 5.0238 | lr 0.0000 | time_forward 3.3330 | time_backward 4.4910 |
[2023-10-25 06:13:17,299::train::INFO] [train] Iter 592562 | loss 0.8222 | loss(rot) 0.8001 | loss(pos) 0.0212 | loss(seq) 0.0009 | grad 4.5511 | lr 0.0000 | time_forward 1.2920 | time_backward 1.4970 |
[2023-10-25 06:13:24,135::train::INFO] [train] Iter 592563 | loss 2.4729 | loss(rot) 1.5076 | loss(pos) 0.5023 | loss(seq) 0.4631 | grad 8.4458 | lr 0.0000 | time_forward 2.9340 | time_backward 3.9000 |
[2023-10-25 06:13:26,849::train::INFO] [train] Iter 592564 | loss 0.8717 | loss(rot) 0.4236 | loss(pos) 0.1017 | loss(seq) 0.3463 | grad 4.7423 | lr 0.0000 | time_forward 1.2910 | time_backward 1.4200 |
[2023-10-25 06:13:29,608::train::INFO] [train] Iter 592565 | loss 0.4019 | loss(rot) 0.1179 | loss(pos) 0.1076 | loss(seq) 0.1765 | grad 3.4256 | lr 0.0000 | time_forward 1.3200 | time_backward 1.4360 |
[2023-10-25 06:13:38,667::train::INFO] [train] Iter 592566 | loss 0.4634 | loss(rot) 0.1480 | loss(pos) 0.0269 | loss(seq) 0.2885 | grad 2.0309 | lr 0.0000 | time_forward 3.6940 | time_backward 5.3460 |
[2023-10-25 06:13:44,123::train::INFO] [train] Iter 592567 | loss 0.6112 | loss(rot) 0.5849 | loss(pos) 0.0212 | loss(seq) 0.0051 | grad 4.5081 | lr 0.0000 | time_forward 2.3780 | time_backward 3.0750 |
[2023-10-25 06:13:51,976::train::INFO] [train] Iter 592568 | loss 1.1863 | loss(rot) 0.5971 | loss(pos) 0.1442 | loss(seq) 0.4450 | grad 3.2203 | lr 0.0000 | time_forward 3.3400 | time_backward 4.4990 |
[2023-10-25 06:14:00,888::train::INFO] [train] Iter 592569 | loss 0.8902 | loss(rot) 0.6681 | loss(pos) 0.0355 | loss(seq) 0.1866 | grad 5.6736 | lr 0.0000 | time_forward 3.6550 | time_backward 5.2540 |
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