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[2023-10-24 15:26:29,174::train::INFO] [train] Iter 584668 | loss 0.6170 | loss(rot) 0.5696 | loss(pos) 0.0463 | loss(seq) 0.0011 | grad 3.7665 | lr 0.0000 | time_forward 4.8420 | time_backward 1.7600 |
[2023-10-24 15:26:42,013::train::INFO] [train] Iter 584669 | loss 0.2531 | loss(rot) 0.1389 | loss(pos) 0.0242 | loss(seq) 0.0899 | grad 3.1976 | lr 0.0000 | time_forward 7.4370 | time_backward 5.4000 |
[2023-10-24 15:26:49,685::train::INFO] [train] Iter 584670 | loss 1.4026 | loss(rot) 0.6551 | loss(pos) 0.5563 | loss(seq) 0.1911 | grad 4.6450 | lr 0.0000 | time_forward 3.0580 | time_backward 4.6100 |
[2023-10-24 15:26:58,952::train::INFO] [train] Iter 584671 | loss 0.4955 | loss(rot) 0.1858 | loss(pos) 0.0445 | loss(seq) 0.2652 | grad 3.4833 | lr 0.0000 | time_forward 4.0880 | time_backward 5.1750 |
[2023-10-24 15:27:02,435::train::INFO] [train] Iter 584672 | loss 0.3450 | loss(rot) 0.3248 | loss(pos) 0.0200 | loss(seq) 0.0001 | grad 4.7546 | lr 0.0000 | time_forward 1.6450 | time_backward 1.8330 |
[2023-10-24 15:27:05,965::train::INFO] [train] Iter 584673 | loss 0.7414 | loss(rot) 0.5351 | loss(pos) 0.1358 | loss(seq) 0.0705 | grad 3.1960 | lr 0.0000 | time_forward 1.6710 | time_backward 1.8550 |
[2023-10-24 15:27:14,383::train::INFO] [train] Iter 584674 | loss 0.2959 | loss(rot) 0.1284 | loss(pos) 0.0128 | loss(seq) 0.1546 | grad 1.9928 | lr 0.0000 | time_forward 3.9820 | time_backward 4.4300 |
[2023-10-24 15:27:21,550::train::INFO] [train] Iter 584675 | loss 0.5504 | loss(rot) 0.0856 | loss(pos) 0.4601 | loss(seq) 0.0048 | grad 7.3606 | lr 0.0000 | time_forward 3.2120 | time_backward 3.9520 |
[2023-10-24 15:27:29,929::train::INFO] [train] Iter 584676 | loss 0.7510 | loss(rot) 0.4970 | loss(pos) 0.0390 | loss(seq) 0.2150 | grad 2.6435 | lr 0.0000 | time_forward 3.3860 | time_backward 4.9900 |
[2023-10-24 15:27:32,860::train::INFO] [train] Iter 584677 | loss 0.8013 | loss(rot) 0.7280 | loss(pos) 0.0154 | loss(seq) 0.0578 | grad 23.6228 | lr 0.0000 | time_forward 1.3420 | time_backward 1.5860 |
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