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[2023-10-22 19:16:03,376::train::INFO] [train] Iter 560991 | loss 1.8223 | loss(rot) 1.2006 | loss(pos) 0.1303 | loss(seq) 0.4914 | grad 3.5469 | lr 0.0000 | time_forward 3.4180 | time_backward 4.6510 |
[2023-10-22 19:16:13,049::train::INFO] [train] Iter 560992 | loss 0.6745 | loss(rot) 0.1185 | loss(pos) 0.0668 | loss(seq) 0.4892 | grad 2.6416 | lr 0.0000 | time_forward 3.9370 | time_backward 5.7320 |
[2023-10-22 19:16:22,564::train::INFO] [train] Iter 560993 | loss 0.6123 | loss(rot) 0.3407 | loss(pos) 0.2059 | loss(seq) 0.0656 | grad 4.7283 | lr 0.0000 | time_forward 3.9350 | time_backward 5.5760 |
[2023-10-22 19:16:31,911::train::INFO] [train] Iter 560994 | loss 0.4039 | loss(rot) 0.0347 | loss(pos) 0.3627 | loss(seq) 0.0064 | grad 8.1464 | lr 0.0000 | time_forward 3.9140 | time_backward 5.4300 |
[2023-10-22 19:16:34,761::train::INFO] [train] Iter 560995 | loss 0.3297 | loss(rot) 0.1328 | loss(pos) 0.1108 | loss(seq) 0.0861 | grad 2.7477 | lr 0.0000 | time_forward 1.3520 | time_backward 1.4950 |
[2023-10-22 19:16:43,224::train::INFO] [train] Iter 560996 | loss 0.9271 | loss(rot) 0.9049 | loss(pos) 0.0190 | loss(seq) 0.0033 | grad 3.9068 | lr 0.0000 | time_forward 3.5640 | time_backward 4.8950 |
[2023-10-22 19:16:52,639::train::INFO] [train] Iter 560997 | loss 0.6678 | loss(rot) 0.6309 | loss(pos) 0.0182 | loss(seq) 0.0186 | grad 2.9617 | lr 0.0000 | time_forward 3.7520 | time_backward 5.6600 |
[2023-10-22 19:17:01,334::train::INFO] [train] Iter 560998 | loss 1.3812 | loss(rot) 1.3271 | loss(pos) 0.0374 | loss(seq) 0.0167 | grad 6.4243 | lr 0.0000 | time_forward 3.6160 | time_backward 5.0760 |
[2023-10-22 19:17:10,547::train::INFO] [train] Iter 560999 | loss 1.4602 | loss(rot) 0.5875 | loss(pos) 0.4372 | loss(seq) 0.4356 | grad 4.1011 | lr 0.0000 | time_forward 3.9780 | time_backward 5.2290 |
[2023-10-22 19:17:18,562::train::INFO] [train] Iter 561000 | loss 0.6931 | loss(rot) 0.6671 | loss(pos) 0.0197 | loss(seq) 0.0063 | grad 13.2217 | lr 0.0000 | time_forward 3.4220 | time_backward 4.5900 |
[2023-10-22 19:18:09,658::train::INFO] [val] Iter 561000 | loss 1.0504 | loss(rot) 0.5460 | loss(pos) 0.2804 | loss(seq) 0.2240 |
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