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[2023-10-25 16:36:30,145::train::INFO] [train] Iter 597954 | loss 1.1981 | loss(rot) 0.7601 | loss(pos) 0.0544 | loss(seq) 0.3836 | grad 4.5507 | lr 0.0000 | time_forward 3.4410 | time_backward 4.3300 |
[2023-10-25 16:36:37,726::train::INFO] [train] Iter 597955 | loss 0.9411 | loss(rot) 0.5666 | loss(pos) 0.0587 | loss(seq) 0.3157 | grad 3.0715 | lr 0.0000 | time_forward 3.2650 | time_backward 4.3120 |
[2023-10-25 16:36:46,611::train::INFO] [train] Iter 597956 | loss 0.6591 | loss(rot) 0.1946 | loss(pos) 0.0447 | loss(seq) 0.4198 | grad 3.1195 | lr 0.0000 | time_forward 4.2520 | time_backward 4.6290 |
[2023-10-25 16:36:49,660::train::INFO] [train] Iter 597957 | loss 0.4643 | loss(rot) 0.1059 | loss(pos) 0.0736 | loss(seq) 0.2848 | grad 4.6060 | lr 0.0000 | time_forward 1.5760 | time_backward 1.4690 |
[2023-10-25 16:37:01,593::train::INFO] [train] Iter 597958 | loss 0.8797 | loss(rot) 0.6565 | loss(pos) 0.0709 | loss(seq) 0.1523 | grad 3.1461 | lr 0.0000 | time_forward 6.8370 | time_backward 5.0850 |
[2023-10-25 16:37:09,353::train::INFO] [train] Iter 597959 | loss 0.8025 | loss(rot) 0.0387 | loss(pos) 0.7613 | loss(seq) 0.0025 | grad 13.2113 | lr 0.0000 | time_forward 3.2560 | time_backward 4.5000 |
[2023-10-25 16:37:12,528::train::INFO] [train] Iter 597960 | loss 0.4869 | loss(rot) 0.1302 | loss(pos) 0.2326 | loss(seq) 0.1241 | grad 3.5412 | lr 0.0000 | time_forward 1.4720 | time_backward 1.7000 |
[2023-10-25 16:37:21,341::train::INFO] [train] Iter 597961 | loss 1.0129 | loss(rot) 0.0589 | loss(pos) 0.8021 | loss(seq) 0.1520 | grad 7.9109 | lr 0.0000 | time_forward 4.0060 | time_backward 4.7920 |
[2023-10-25 16:37:30,378::train::INFO] [train] Iter 597962 | loss 0.6490 | loss(rot) 0.0436 | loss(pos) 0.4614 | loss(seq) 0.1441 | grad 4.7567 | lr 0.0000 | time_forward 4.1270 | time_backward 4.9060 |
[2023-10-25 16:37:33,013::train::INFO] [train] Iter 597963 | loss 0.2942 | loss(rot) 0.1280 | loss(pos) 0.0646 | loss(seq) 0.1015 | grad 2.8432 | lr 0.0000 | time_forward 1.2530 | time_backward 1.3790 |
[2023-10-25 16:37:41,547::train::INFO] [train] Iter 597964 | loss 5.4263 | loss(rot) 0.0329 | loss(pos) 5.3934 | loss(seq) 0.0000 | grad 41.0243 | lr 0.0000 | time_forward 3.7030 | time_backward 4.8270 |
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