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[2023-10-25 14:00:16,986::train::INFO] [train] Iter 596555 | loss 0.1740 | loss(rot) 0.0881 | loss(pos) 0.0360 | loss(seq) 0.0499 | grad 2.5915 | lr 0.0000 | time_forward 5.7250 | time_backward 5.8530 |
[2023-10-25 14:00:29,314::train::INFO] [train] Iter 596556 | loss 0.2080 | loss(rot) 0.1441 | loss(pos) 0.0169 | loss(seq) 0.0470 | grad 1.3941 | lr 0.0000 | time_forward 6.2570 | time_backward 6.0680 |
[2023-10-25 14:00:43,773::train::INFO] [train] Iter 596557 | loss 0.8410 | loss(rot) 0.5095 | loss(pos) 0.1230 | loss(seq) 0.2085 | grad 2.8937 | lr 0.0000 | time_forward 8.3940 | time_backward 6.0620 |
[2023-10-25 14:00:50,815::train::INFO] [train] Iter 596558 | loss 0.4999 | loss(rot) 0.4527 | loss(pos) 0.0386 | loss(seq) 0.0087 | grad 2.5727 | lr 0.0000 | time_forward 2.8870 | time_backward 4.1520 |
[2023-10-25 14:01:00,019::train::INFO] [train] Iter 596559 | loss 0.4291 | loss(rot) 0.0786 | loss(pos) 0.0222 | loss(seq) 0.3284 | grad 2.6245 | lr 0.0000 | time_forward 3.6430 | time_backward 5.5410 |
[2023-10-25 14:01:02,773::train::INFO] [train] Iter 596560 | loss 0.8188 | loss(rot) 0.2383 | loss(pos) 0.0798 | loss(seq) 0.5006 | grad 3.8051 | lr 0.0000 | time_forward 1.3200 | time_backward 1.4290 |
[2023-10-25 14:01:21,047::train::INFO] [train] Iter 596561 | loss 0.4438 | loss(rot) 0.0391 | loss(pos) 0.4029 | loss(seq) 0.0018 | grad 9.2476 | lr 0.0000 | time_forward 12.5280 | time_backward 5.7230 |
[2023-10-25 14:01:29,104::train::INFO] [train] Iter 596562 | loss 0.6772 | loss(rot) 0.3406 | loss(pos) 0.2452 | loss(seq) 0.0913 | grad 4.8193 | lr 0.0000 | time_forward 3.4110 | time_backward 4.6430 |
[2023-10-25 14:01:37,438::train::INFO] [train] Iter 596563 | loss 0.8592 | loss(rot) 0.6770 | loss(pos) 0.0371 | loss(seq) 0.1450 | grad 6.9052 | lr 0.0000 | time_forward 3.4770 | time_backward 4.8530 |
[2023-10-25 14:01:40,867::train::INFO] [train] Iter 596564 | loss 0.1775 | loss(rot) 0.0732 | loss(pos) 0.0291 | loss(seq) 0.0752 | grad 1.6308 | lr 0.0000 | time_forward 1.5430 | time_backward 1.8830 |
[2023-10-25 14:01:50,154::train::INFO] [train] Iter 596565 | loss 0.7431 | loss(rot) 0.6934 | loss(pos) 0.0395 | loss(seq) 0.0103 | grad 3.0508 | lr 0.0000 | time_forward 4.1830 | time_backward 5.1000 |
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