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[2023-10-24 06:27:45,669::train::INFO] [train] Iter 580170 | loss 0.3876 | loss(rot) 0.1422 | loss(pos) 0.1974 | loss(seq) 0.0481 | grad 3.9969 | lr 0.0000 | time_forward 1.4830 | time_backward 1.4960 |
[2023-10-24 06:27:52,683::train::INFO] [train] Iter 580171 | loss 0.1910 | loss(rot) 0.1662 | loss(pos) 0.0235 | loss(seq) 0.0014 | grad 1.6783 | lr 0.0000 | time_forward 3.0130 | time_backward 3.9970 |
[2023-10-24 06:27:55,426::train::INFO] [train] Iter 580172 | loss 0.2557 | loss(rot) 0.0613 | loss(pos) 0.0258 | loss(seq) 0.1686 | grad 2.5851 | lr 0.0000 | time_forward 1.3050 | time_backward 1.4350 |
[2023-10-24 06:28:04,795::train::INFO] [train] Iter 580173 | loss 0.6482 | loss(rot) 0.3581 | loss(pos) 0.0693 | loss(seq) 0.2208 | grad 4.8678 | lr 0.0000 | time_forward 4.0110 | time_backward 5.3550 |
[2023-10-24 06:28:07,578::train::INFO] [train] Iter 580174 | loss 0.4310 | loss(rot) 0.1042 | loss(pos) 0.0097 | loss(seq) 0.3172 | grad 2.8773 | lr 0.0000 | time_forward 1.3210 | time_backward 1.4590 |
[2023-10-24 06:28:10,390::train::INFO] [train] Iter 580175 | loss 0.9659 | loss(rot) 0.0055 | loss(pos) 0.9595 | loss(seq) 0.0008 | grad 9.4030 | lr 0.0000 | time_forward 1.3650 | time_backward 1.4440 |
[2023-10-24 06:28:13,183::train::INFO] [train] Iter 580176 | loss 0.8513 | loss(rot) 0.5047 | loss(pos) 0.0645 | loss(seq) 0.2821 | grad 7.5482 | lr 0.0000 | time_forward 1.3670 | time_backward 1.4220 |
[2023-10-24 06:28:15,951::train::INFO] [train] Iter 580177 | loss 0.5602 | loss(rot) 0.2442 | loss(pos) 0.0343 | loss(seq) 0.2817 | grad 3.0895 | lr 0.0000 | time_forward 1.3620 | time_backward 1.4040 |
[2023-10-24 06:28:25,433::train::INFO] [train] Iter 580178 | loss 0.5538 | loss(rot) 0.0847 | loss(pos) 0.0912 | loss(seq) 0.3779 | grad 3.9081 | lr 0.0000 | time_forward 3.8380 | time_backward 5.6400 |
[2023-10-24 06:28:28,223::train::INFO] [train] Iter 580179 | loss 1.4874 | loss(rot) 1.4418 | loss(pos) 0.0436 | loss(seq) 0.0020 | grad 4.4502 | lr 0.0000 | time_forward 1.3290 | time_backward 1.4560 |
[2023-10-24 06:28:37,639::train::INFO] [train] Iter 580180 | loss 0.1576 | loss(rot) 0.1348 | loss(pos) 0.0186 | loss(seq) 0.0041 | grad 2.0449 | lr 0.0000 | time_forward 3.8050 | time_backward 5.5770 |
[2023-10-24 06:28:41,020::train::INFO] [train] Iter 580181 | loss 0.7804 | loss(rot) 0.3011 | loss(pos) 0.0767 | loss(seq) 0.4026 | grad 2.8836 | lr 0.0000 | time_forward 1.4640 | time_backward 1.9140 |
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