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[2023-09-01 19:36:21,289::train::INFO] [train] Iter 01583 | loss 2.2892 | loss(rot) 0.0633 | loss(pos) 1.9987 | loss(seq) 0.2271 | grad 7.0259 | lr 0.0010 | time_forward 3.9590 | time_backward 6.0300 |
[2023-09-01 19:36:24,039::train::INFO] [train] Iter 01584 | loss 2.8928 | loss(rot) 2.4711 | loss(pos) 0.2150 | loss(seq) 0.2066 | grad 3.6592 | lr 0.0010 | time_forward 1.3010 | time_backward 1.4460 |
[2023-09-01 19:36:32,922::train::INFO] [train] Iter 01585 | loss 1.8267 | loss(rot) 0.2610 | loss(pos) 1.3168 | loss(seq) 0.2489 | grad 4.8974 | lr 0.0010 | time_forward 3.5860 | time_backward 5.2590 |
[2023-09-01 19:36:41,353::train::INFO] [train] Iter 01586 | loss 3.4450 | loss(rot) 2.8060 | loss(pos) 0.1994 | loss(seq) 0.4396 | grad 3.0794 | lr 0.0010 | time_forward 3.3160 | time_backward 5.1100 |
[2023-09-01 19:36:49,859::train::INFO] [train] Iter 01587 | loss 3.3875 | loss(rot) 2.9767 | loss(pos) 0.2895 | loss(seq) 0.1213 | grad 4.7777 | lr 0.0010 | time_forward 3.3470 | time_backward 5.1560 |
[2023-09-01 19:36:52,159::train::INFO] [train] Iter 01588 | loss 1.5763 | loss(rot) 0.6923 | loss(pos) 0.5697 | loss(seq) 0.3143 | grad 3.1761 | lr 0.0010 | time_forward 1.0730 | time_backward 1.2230 |
[2023-09-01 19:37:01,530::train::INFO] [train] Iter 01589 | loss 2.5234 | loss(rot) 1.7006 | loss(pos) 0.3051 | loss(seq) 0.5178 | grad 2.0920 | lr 0.0010 | time_forward 3.9140 | time_backward 5.4530 |
[2023-09-01 19:37:11,700::train::INFO] [train] Iter 01590 | loss 3.3299 | loss(rot) 3.0434 | loss(pos) 0.2864 | loss(seq) 0.0000 | grad 3.6165 | lr 0.0010 | time_forward 4.0460 | time_backward 6.1200 |
[2023-09-01 19:37:19,565::train::INFO] [train] Iter 01591 | loss 3.0892 | loss(rot) 2.9581 | loss(pos) 0.1217 | loss(seq) 0.0094 | grad 2.1012 | lr 0.0010 | time_forward 3.1210 | time_backward 4.7400 |
[2023-09-01 19:37:28,052::train::INFO] [train] Iter 01592 | loss 3.3631 | loss(rot) 2.7321 | loss(pos) 0.2208 | loss(seq) 0.4101 | grad 3.6378 | lr 0.0010 | time_forward 3.4530 | time_backward 5.0300 |
[2023-09-01 19:37:37,689::train::INFO] [train] Iter 01593 | loss 1.8238 | loss(rot) 0.5665 | loss(pos) 0.8668 | loss(seq) 0.3906 | grad 3.8777 | lr 0.0010 | time_forward 3.9360 | time_backward 5.6970 |
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