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[2023-10-23 05:21:58,556::train::INFO] [train] Iter 566785 | loss 0.3409 | loss(rot) 0.1546 | loss(pos) 0.0162 | loss(seq) 0.1701 | grad 2.1920 | lr 0.0000 | time_forward 1.0580 | time_backward 1.1760 |
[2023-10-23 05:22:06,582::train::INFO] [train] Iter 566786 | loss 0.2876 | loss(rot) 0.2200 | loss(pos) 0.0442 | loss(seq) 0.0234 | grad 2.8765 | lr 0.0000 | time_forward 3.4860 | time_backward 4.5370 |
[2023-10-23 05:22:14,039::train::INFO] [train] Iter 566787 | loss 0.6986 | loss(rot) 0.6802 | loss(pos) 0.0168 | loss(seq) 0.0016 | grad 3.3244 | lr 0.0000 | time_forward 3.2470 | time_backward 4.2060 |
[2023-10-23 05:22:16,793::train::INFO] [train] Iter 566788 | loss 0.5152 | loss(rot) 0.2887 | loss(pos) 0.0498 | loss(seq) 0.1766 | grad 2.7699 | lr 0.0000 | time_forward 1.3850 | time_backward 1.3660 |
[2023-10-23 05:22:23,950::train::INFO] [train] Iter 566789 | loss 0.2179 | loss(rot) 0.0601 | loss(pos) 0.1522 | loss(seq) 0.0056 | grad 3.1752 | lr 0.0000 | time_forward 3.2550 | time_backward 3.8790 |
[2023-10-23 05:22:26,657::train::INFO] [train] Iter 566790 | loss 2.5760 | loss(rot) 0.0055 | loss(pos) 2.5705 | loss(seq) 0.0000 | grad 38.9146 | lr 0.0000 | time_forward 1.3200 | time_backward 1.3850 |
[2023-10-23 05:22:34,956::train::INFO] [train] Iter 566791 | loss 0.9062 | loss(rot) 0.4125 | loss(pos) 0.1289 | loss(seq) 0.3648 | grad 3.4773 | lr 0.0000 | time_forward 3.5640 | time_backward 4.7320 |
[2023-10-23 05:22:43,343::train::INFO] [train] Iter 566792 | loss 0.6205 | loss(rot) 0.1006 | loss(pos) 0.2304 | loss(seq) 0.2896 | grad 4.0548 | lr 0.0000 | time_forward 3.5430 | time_backward 4.8400 |
[2023-10-23 05:22:50,808::train::INFO] [train] Iter 566793 | loss 0.3943 | loss(rot) 0.2009 | loss(pos) 0.0358 | loss(seq) 0.1576 | grad 5.8897 | lr 0.0000 | time_forward 3.3000 | time_backward 4.1620 |
[2023-10-23 05:22:53,467::train::INFO] [train] Iter 566794 | loss 0.4609 | loss(rot) 0.0892 | loss(pos) 0.1735 | loss(seq) 0.1983 | grad 4.0319 | lr 0.0000 | time_forward 1.2550 | time_backward 1.4010 |
[2023-10-23 05:23:00,707::train::INFO] [train] Iter 566795 | loss 0.7936 | loss(rot) 0.6133 | loss(pos) 0.0941 | loss(seq) 0.0861 | grad 3.8731 | lr 0.0000 | time_forward 3.1590 | time_backward 4.0770 |
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