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[2023-09-03 01:50:53,474::train::INFO] [train] Iter 16568 | loss 1.3441 | loss(rot) 1.1344 | loss(pos) 0.1210 | loss(seq) 0.0888 | grad 6.2518 | lr 0.0010 | time_forward 1.2610 | time_backward 1.5020 |
[2023-09-03 01:51:01,916::train::INFO] [train] Iter 16569 | loss 0.8187 | loss(rot) 0.5756 | loss(pos) 0.1408 | loss(seq) 0.1023 | grad 3.6982 | lr 0.0010 | time_forward 3.5180 | time_backward 4.9200 |
[2023-09-03 01:51:04,684::train::INFO] [train] Iter 16570 | loss 1.6944 | loss(rot) 0.8167 | loss(pos) 0.2879 | loss(seq) 0.5898 | grad 3.0360 | lr 0.0010 | time_forward 1.2450 | time_backward 1.5200 |
[2023-09-03 01:51:12,939::train::INFO] [train] Iter 16571 | loss 1.3552 | loss(rot) 0.0722 | loss(pos) 1.2735 | loss(seq) 0.0095 | grad 7.2523 | lr 0.0010 | time_forward 3.4350 | time_backward 4.8160 |
[2023-09-03 01:51:21,866::train::INFO] [train] Iter 16572 | loss 2.0568 | loss(rot) 1.1871 | loss(pos) 0.4407 | loss(seq) 0.4290 | grad 5.3919 | lr 0.0010 | time_forward 3.6670 | time_backward 5.2560 |
[2023-09-03 01:51:31,750::train::INFO] [train] Iter 16573 | loss 1.8441 | loss(rot) 1.4690 | loss(pos) 0.1051 | loss(seq) 0.2700 | grad 3.7525 | lr 0.0010 | time_forward 4.0110 | time_backward 5.8690 |
[2023-09-03 01:51:41,724::train::INFO] [train] Iter 16574 | loss 1.4749 | loss(rot) 0.6497 | loss(pos) 0.3609 | loss(seq) 0.4644 | grad 4.2824 | lr 0.0010 | time_forward 4.1050 | time_backward 5.8660 |
[2023-09-03 01:51:50,516::train::INFO] [train] Iter 16575 | loss 0.9447 | loss(rot) 0.3467 | loss(pos) 0.1616 | loss(seq) 0.4364 | grad 5.6070 | lr 0.0010 | time_forward 3.7630 | time_backward 5.0250 |
[2023-09-03 01:51:58,609::train::INFO] [train] Iter 16576 | loss 0.7738 | loss(rot) 0.6530 | loss(pos) 0.1198 | loss(seq) 0.0011 | grad 4.5306 | lr 0.0010 | time_forward 3.4190 | time_backward 4.6700 |
[2023-09-03 01:52:08,493::train::INFO] [train] Iter 16577 | loss 1.6390 | loss(rot) 1.4398 | loss(pos) 0.1919 | loss(seq) 0.0073 | grad 7.0634 | lr 0.0010 | time_forward 3.9510 | time_backward 5.9310 |
[2023-09-03 01:52:10,976::train::INFO] [train] Iter 16578 | loss 1.5665 | loss(rot) 1.3056 | loss(pos) 0.0945 | loss(seq) 0.1664 | grad 5.7851 | lr 0.0010 | time_forward 1.1850 | time_backward 1.2940 |
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