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[2023-10-23 06:22:10,931::train::INFO] [train] Iter 567385 | loss 1.0300 | loss(rot) 0.4782 | loss(pos) 0.0651 | loss(seq) 0.4867 | grad 29.7500 | lr 0.0000 | time_forward 3.0310 | time_backward 3.9660 |
[2023-10-23 06:22:19,006::train::INFO] [train] Iter 567386 | loss 0.2017 | loss(rot) 0.0751 | loss(pos) 0.0807 | loss(seq) 0.0460 | grad 2.4218 | lr 0.0000 | time_forward 3.3300 | time_backward 4.7410 |
[2023-10-23 06:22:25,653::train::INFO] [train] Iter 567387 | loss 1.5693 | loss(rot) 0.9705 | loss(pos) 0.0860 | loss(seq) 0.5128 | grad 3.9074 | lr 0.0000 | time_forward 2.8490 | time_backward 3.7950 |
[2023-10-23 06:22:33,119::train::INFO] [train] Iter 567388 | loss 0.6377 | loss(rot) 0.3539 | loss(pos) 0.0201 | loss(seq) 0.2637 | grad 2.5984 | lr 0.0000 | time_forward 3.2460 | time_backward 4.2170 |
[2023-10-23 06:22:39,598::train::INFO] [train] Iter 567389 | loss 0.7518 | loss(rot) 0.3372 | loss(pos) 0.0467 | loss(seq) 0.3679 | grad 3.3544 | lr 0.0000 | time_forward 2.7890 | time_backward 3.6860 |
[2023-10-23 06:22:42,305::train::INFO] [train] Iter 567390 | loss 0.2323 | loss(rot) 0.0734 | loss(pos) 0.0106 | loss(seq) 0.1484 | grad 1.9115 | lr 0.0000 | time_forward 1.2770 | time_backward 1.4280 |
[2023-10-23 06:22:50,337::train::INFO] [train] Iter 567391 | loss 1.5005 | loss(rot) 0.8068 | loss(pos) 0.3468 | loss(seq) 0.3469 | grad 3.3236 | lr 0.0000 | time_forward 3.4030 | time_backward 4.6250 |
[2023-10-23 06:22:58,239::train::INFO] [train] Iter 567392 | loss 0.6996 | loss(rot) 0.3551 | loss(pos) 0.0922 | loss(seq) 0.2523 | grad 3.1848 | lr 0.0000 | time_forward 3.4180 | time_backward 4.4800 |
[2023-10-23 06:23:00,935::train::INFO] [train] Iter 567393 | loss 0.3495 | loss(rot) 0.1223 | loss(pos) 0.0383 | loss(seq) 0.1890 | grad 2.4895 | lr 0.0000 | time_forward 1.2660 | time_backward 1.4270 |
[2023-10-23 06:23:08,064::train::INFO] [train] Iter 567394 | loss 1.7089 | loss(rot) 1.4587 | loss(pos) 0.1050 | loss(seq) 0.1452 | grad 3.3736 | lr 0.0000 | time_forward 3.0870 | time_backward 4.0400 |
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