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[2023-09-01 17:58:15,245::train::INFO] [train] Iter 00787 | loss 3.7273 | loss(rot) 3.0989 | loss(pos) 0.3739 | loss(seq) 0.2544 | grad 3.3500 | lr 0.0010 | time_forward 1.3650 | time_backward 1.4510 |
[2023-09-01 17:58:18,004::train::INFO] [train] Iter 00788 | loss 2.5399 | loss(rot) 2.2650 | loss(pos) 0.2242 | loss(seq) 0.0506 | grad 4.0675 | lr 0.0010 | time_forward 1.3490 | time_backward 1.4070 |
[2023-09-01 17:58:25,726::train::INFO] [train] Iter 00789 | loss 1.2855 | loss(rot) 0.1054 | loss(pos) 1.1691 | loss(seq) 0.0110 | grad 4.3311 | lr 0.0010 | time_forward 3.3310 | time_backward 4.3870 |
[2023-09-01 17:58:34,741::train::INFO] [train] Iter 00790 | loss 2.0005 | loss(rot) 0.5318 | loss(pos) 1.1562 | loss(seq) 0.3125 | grad 4.6731 | lr 0.0010 | time_forward 3.9240 | time_backward 5.0890 |
[2023-09-01 17:58:38,238::train::INFO] [train] Iter 00791 | loss 2.2940 | loss(rot) 1.3709 | loss(pos) 0.4900 | loss(seq) 0.4330 | grad 2.9148 | lr 0.0010 | time_forward 1.5580 | time_backward 1.9350 |
[2023-09-01 17:58:47,048::train::INFO] [train] Iter 00792 | loss 2.8324 | loss(rot) 2.1948 | loss(pos) 0.2402 | loss(seq) 0.3973 | grad 3.3853 | lr 0.0010 | time_forward 3.8640 | time_backward 4.9420 |
[2023-09-01 17:58:56,733::train::INFO] [train] Iter 00793 | loss 1.7266 | loss(rot) 0.2631 | loss(pos) 1.1941 | loss(seq) 0.2694 | grad 3.8620 | lr 0.0010 | time_forward 4.0900 | time_backward 5.5930 |
[2023-09-01 17:59:05,859::train::INFO] [train] Iter 00794 | loss 3.0405 | loss(rot) 2.6543 | loss(pos) 0.3851 | loss(seq) 0.0011 | grad 5.0642 | lr 0.0010 | time_forward 3.6490 | time_backward 5.4730 |
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