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[2023-10-22 20:33:59,260::train::INFO] [train] Iter 561691 | loss 0.3669 | loss(rot) 0.3210 | loss(pos) 0.0224 | loss(seq) 0.0236 | grad 2.8168 | lr 0.0000 | time_forward 3.6600 | time_backward 5.2220 |
[2023-10-22 20:34:08,193::train::INFO] [train] Iter 561692 | loss 0.2359 | loss(rot) 0.1948 | loss(pos) 0.0256 | loss(seq) 0.0155 | grad 2.0702 | lr 0.0000 | time_forward 3.6560 | time_backward 5.2730 |
[2023-10-22 20:34:10,750::train::INFO] [train] Iter 561693 | loss 2.2492 | loss(rot) 2.1864 | loss(pos) 0.0460 | loss(seq) 0.0168 | grad 4.0643 | lr 0.0000 | time_forward 1.1970 | time_backward 1.3560 |
[2023-10-22 20:34:19,726::train::INFO] [train] Iter 561694 | loss 0.4643 | loss(rot) 0.1666 | loss(pos) 0.2704 | loss(seq) 0.0273 | grad 3.8970 | lr 0.0000 | time_forward 3.8580 | time_backward 5.1150 |
[2023-10-22 20:34:27,189::train::INFO] [train] Iter 561695 | loss 0.2605 | loss(rot) 0.1214 | loss(pos) 0.0214 | loss(seq) 0.1177 | grad 2.4309 | lr 0.0000 | time_forward 3.1180 | time_backward 4.3420 |
[2023-10-22 20:34:35,008::train::INFO] [train] Iter 561696 | loss 0.1564 | loss(rot) 0.1328 | loss(pos) 0.0171 | loss(seq) 0.0065 | grad 1.4421 | lr 0.0000 | time_forward 3.3520 | time_backward 4.4640 |
[2023-10-22 20:34:42,717::train::INFO] [train] Iter 561697 | loss 0.4774 | loss(rot) 0.1395 | loss(pos) 0.0786 | loss(seq) 0.2593 | grad 2.5385 | lr 0.0000 | time_forward 3.2890 | time_backward 4.4170 |
[2023-10-22 20:34:50,438::train::INFO] [train] Iter 561698 | loss 0.7795 | loss(rot) 0.2926 | loss(pos) 0.1794 | loss(seq) 0.3074 | grad 3.0985 | lr 0.0000 | time_forward 3.2810 | time_backward 4.4380 |
[2023-10-22 20:34:58,762::train::INFO] [train] Iter 561699 | loss 0.4611 | loss(rot) 0.4344 | loss(pos) 0.0264 | loss(seq) 0.0003 | grad 1.5753 | lr 0.0000 | time_forward 3.5690 | time_backward 4.7510 |
[2023-10-22 20:35:05,319::train::INFO] [train] Iter 561700 | loss 0.8284 | loss(rot) 0.6364 | loss(pos) 0.0359 | loss(seq) 0.1562 | grad 4.0293 | lr 0.0000 | time_forward 2.8870 | time_backward 3.6680 |
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