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[2023-09-03 02:02:43,957::train::INFO] [train] Iter 16668 | loss 1.1561 | loss(rot) 0.6716 | loss(pos) 0.3959 | loss(seq) 0.0886 | grad 3.8788 | lr 0.0010 | time_forward 3.9540 | time_backward 5.8630 |
[2023-09-03 02:02:52,638::train::INFO] [train] Iter 16669 | loss 1.8193 | loss(rot) 1.0732 | loss(pos) 0.2754 | loss(seq) 0.4707 | grad 4.6550 | lr 0.0010 | time_forward 3.6300 | time_backward 5.0470 |
[2023-09-03 02:02:55,267::train::INFO] [train] Iter 16670 | loss 1.0495 | loss(rot) 0.9482 | loss(pos) 0.0711 | loss(seq) 0.0302 | grad 7.2517 | lr 0.0010 | time_forward 1.2250 | time_backward 1.4010 |
[2023-09-03 02:03:02,794::train::INFO] [train] Iter 16671 | loss 1.4511 | loss(rot) 0.7263 | loss(pos) 0.5636 | loss(seq) 0.1612 | grad 5.0837 | lr 0.0010 | time_forward 3.1580 | time_backward 4.3650 |
[2023-09-03 02:03:05,466::train::INFO] [train] Iter 16672 | loss 1.5925 | loss(rot) 1.4809 | loss(pos) 0.1087 | loss(seq) 0.0030 | grad 9.2838 | lr 0.0010 | time_forward 1.2420 | time_backward 1.4260 |
[2023-09-03 02:03:13,431::train::INFO] [train] Iter 16673 | loss 2.4494 | loss(rot) 0.0368 | loss(pos) 2.4119 | loss(seq) 0.0007 | grad 6.4521 | lr 0.0010 | time_forward 3.3150 | time_backward 4.6480 |
[2023-09-03 02:03:23,402::train::INFO] [train] Iter 16674 | loss 2.1780 | loss(rot) 0.0487 | loss(pos) 2.1199 | loss(seq) 0.0094 | grad 9.7457 | lr 0.0010 | time_forward 4.1380 | time_backward 5.8290 |
[2023-09-03 02:03:26,130::train::INFO] [train] Iter 16675 | loss 1.3754 | loss(rot) 1.1849 | loss(pos) 0.1899 | loss(seq) 0.0006 | grad 9.4553 | lr 0.0010 | time_forward 1.2560 | time_backward 1.4510 |
[2023-09-03 02:03:36,405::train::INFO] [train] Iter 16676 | loss 1.3613 | loss(rot) 0.5448 | loss(pos) 0.4012 | loss(seq) 0.4153 | grad 7.8798 | lr 0.0010 | time_forward 4.3710 | time_backward 5.9010 |
[2023-09-03 02:03:44,939::train::INFO] [train] Iter 16677 | loss 0.6008 | loss(rot) 0.4011 | loss(pos) 0.0827 | loss(seq) 0.1170 | grad 4.4187 | lr 0.0010 | time_forward 3.6400 | time_backward 4.8900 |
[2023-09-03 02:03:50,886::train::INFO] [train] Iter 16678 | loss 0.5611 | loss(rot) 0.3651 | loss(pos) 0.1960 | loss(seq) 0.0000 | grad 4.8684 | lr 0.0010 | time_forward 2.5360 | time_backward 3.4070 |
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