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[2023-10-25 18:16:36,003::train::INFO] [train] Iter 598853 | loss 0.9631 | loss(rot) 0.5003 | loss(pos) 0.1105 | loss(seq) 0.3524 | grad 3.5582 | lr 0.0000 | time_forward 1.4280 | time_backward 1.7740 |
[2023-10-25 18:16:43,629::train::INFO] [train] Iter 598854 | loss 0.3750 | loss(rot) 0.2625 | loss(pos) 0.0795 | loss(seq) 0.0330 | grad 3.4285 | lr 0.0000 | time_forward 3.2450 | time_backward 4.3660 |
[2023-10-25 18:16:51,353::train::INFO] [train] Iter 598855 | loss 0.2116 | loss(rot) 0.1122 | loss(pos) 0.0375 | loss(seq) 0.0619 | grad 1.7725 | lr 0.0000 | time_forward 3.2580 | time_backward 4.4640 |
[2023-10-25 18:17:00,091::train::INFO] [train] Iter 598856 | loss 0.5040 | loss(rot) 0.1296 | loss(pos) 0.0663 | loss(seq) 0.3081 | grad 2.6245 | lr 0.0000 | time_forward 3.5750 | time_backward 5.1600 |
[2023-10-25 18:17:02,344::train::INFO] [train] Iter 598857 | loss 1.1098 | loss(rot) 0.6555 | loss(pos) 0.2068 | loss(seq) 0.2474 | grad 3.5551 | lr 0.0000 | time_forward 1.0280 | time_backward 1.2210 |
[2023-10-25 18:17:10,118::train::INFO] [train] Iter 598858 | loss 0.6296 | loss(rot) 0.2144 | loss(pos) 0.0286 | loss(seq) 0.3866 | grad 3.1758 | lr 0.0000 | time_forward 3.2760 | time_backward 4.4960 |
[2023-10-25 18:17:12,870::train::INFO] [train] Iter 598859 | loss 0.9133 | loss(rot) 0.6469 | loss(pos) 0.0818 | loss(seq) 0.1847 | grad 5.4985 | lr 0.0000 | time_forward 1.3230 | time_backward 1.4250 |
[2023-10-25 18:17:20,422::train::INFO] [train] Iter 598860 | loss 0.5819 | loss(rot) 0.1718 | loss(pos) 0.0469 | loss(seq) 0.3632 | grad 2.8308 | lr 0.0000 | time_forward 3.2390 | time_backward 4.2750 |
[2023-10-25 18:17:28,581::train::INFO] [train] Iter 598861 | loss 0.2928 | loss(rot) 0.0419 | loss(pos) 0.0582 | loss(seq) 0.1927 | grad 2.9528 | lr 0.0000 | time_forward 3.5170 | time_backward 4.6390 |
[2023-10-25 18:17:37,323::train::INFO] [train] Iter 598862 | loss 0.7181 | loss(rot) 0.7014 | loss(pos) 0.0141 | loss(seq) 0.0026 | grad 55.2951 | lr 0.0000 | time_forward 3.6130 | time_backward 5.1270 |
[2023-10-25 18:17:41,365::train::INFO] [train] Iter 598863 | loss 0.2161 | loss(rot) 0.1798 | loss(pos) 0.0358 | loss(seq) 0.0005 | grad 2.0999 | lr 0.0000 | time_forward 1.8490 | time_backward 2.1900 |
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