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[2023-10-24 08:01:15,012::train::INFO] [train] Iter 580971 | loss 0.2516 | loss(rot) 0.0466 | loss(pos) 0.0238 | loss(seq) 0.1813 | grad 2.7622 | lr 0.0000 | time_forward 4.0380 | time_backward 6.0630 |
[2023-10-24 08:01:25,189::train::INFO] [train] Iter 580972 | loss 1.3808 | loss(rot) 0.9613 | loss(pos) 0.0641 | loss(seq) 0.3554 | grad 15.4558 | lr 0.0000 | time_forward 4.1950 | time_backward 5.9790 |
[2023-10-24 08:01:33,191::train::INFO] [train] Iter 580973 | loss 2.0034 | loss(rot) 1.9389 | loss(pos) 0.0642 | loss(seq) 0.0003 | grad 4.6280 | lr 0.0000 | time_forward 3.2260 | time_backward 4.7720 |
[2023-10-24 08:01:42,569::train::INFO] [train] Iter 580974 | loss 0.3146 | loss(rot) 0.0445 | loss(pos) 0.0169 | loss(seq) 0.2531 | grad 1.6236 | lr 0.0000 | time_forward 4.0210 | time_backward 5.3530 |
[2023-10-24 08:01:51,368::train::INFO] [train] Iter 580975 | loss 2.2608 | loss(rot) 1.5480 | loss(pos) 0.2217 | loss(seq) 0.4912 | grad 3.6969 | lr 0.0000 | time_forward 3.7310 | time_backward 5.0640 |
[2023-10-24 08:02:00,253::train::INFO] [train] Iter 580976 | loss 0.6302 | loss(rot) 0.1474 | loss(pos) 0.2986 | loss(seq) 0.1842 | grad 4.2496 | lr 0.0000 | time_forward 3.7580 | time_backward 5.1240 |
[2023-10-24 08:02:03,618::train::INFO] [train] Iter 580977 | loss 0.2883 | loss(rot) 0.1531 | loss(pos) 0.1143 | loss(seq) 0.0209 | grad 2.7816 | lr 0.0000 | time_forward 1.4620 | time_backward 1.9000 |
[2023-10-24 08:02:13,637::train::INFO] [train] Iter 580978 | loss 5.5460 | loss(rot) 0.0032 | loss(pos) 5.5429 | loss(seq) 0.0000 | grad 26.9758 | lr 0.0000 | time_forward 4.0840 | time_backward 5.9330 |
[2023-10-24 08:02:16,328::train::INFO] [train] Iter 580979 | loss 1.1661 | loss(rot) 1.0431 | loss(pos) 0.0482 | loss(seq) 0.0748 | grad 15.3798 | lr 0.0000 | time_forward 1.1900 | time_backward 1.4980 |
[2023-10-24 08:02:26,276::train::INFO] [train] Iter 580980 | loss 0.5858 | loss(rot) 0.0181 | loss(pos) 0.5660 | loss(seq) 0.0016 | grad 5.2323 | lr 0.0000 | time_forward 4.1740 | time_backward 5.7700 |
[2023-10-24 08:02:35,730::train::INFO] [train] Iter 580981 | loss 0.1678 | loss(rot) 0.0409 | loss(pos) 0.0133 | loss(seq) 0.1136 | grad 1.4886 | lr 0.0000 | time_forward 3.7750 | time_backward 5.6750 |
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