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[2023-10-24 20:41:45,165::train::INFO] [train] Iter 587565 | loss 2.5985 | loss(rot) 0.0831 | loss(pos) 2.5152 | loss(seq) 0.0002 | grad 17.6592 | lr 0.0000 | time_forward 1.3120 | time_backward 1.4370 |
[2023-10-24 20:41:55,398::train::INFO] [train] Iter 587566 | loss 1.0514 | loss(rot) 1.0080 | loss(pos) 0.0425 | loss(seq) 0.0010 | grad 22.4790 | lr 0.0000 | time_forward 4.2000 | time_backward 6.0300 |
[2023-10-24 20:42:05,794::train::INFO] [train] Iter 587567 | loss 1.2227 | loss(rot) 0.5203 | loss(pos) 0.4532 | loss(seq) 0.2492 | grad 8.2134 | lr 0.0000 | time_forward 4.2330 | time_backward 6.1600 |
[2023-10-24 20:42:08,564::train::INFO] [train] Iter 587568 | loss 0.5378 | loss(rot) 0.1331 | loss(pos) 0.1476 | loss(seq) 0.2571 | grad 4.1794 | lr 0.0000 | time_forward 1.3230 | time_backward 1.4440 |
[2023-10-24 20:42:18,606::train::INFO] [train] Iter 587569 | loss 0.3205 | loss(rot) 0.1519 | loss(pos) 0.0525 | loss(seq) 0.1161 | grad 2.9161 | lr 0.0000 | time_forward 4.0240 | time_backward 5.9780 |
[2023-10-24 20:42:21,986::train::INFO] [train] Iter 587570 | loss 1.3477 | loss(rot) 0.0608 | loss(pos) 1.2858 | loss(seq) 0.0012 | grad 6.5381 | lr 0.0000 | time_forward 1.4750 | time_backward 1.9010 |
[2023-10-24 20:42:32,091::train::INFO] [train] Iter 587571 | loss 0.4036 | loss(rot) 0.0724 | loss(pos) 0.0391 | loss(seq) 0.2921 | grad 2.4830 | lr 0.0000 | time_forward 4.0430 | time_backward 6.0590 |
[2023-10-24 20:42:45,881::train::INFO] [train] Iter 587572 | loss 1.5158 | loss(rot) 1.0170 | loss(pos) 0.1629 | loss(seq) 0.3359 | grad 4.1786 | lr 0.0000 | time_forward 4.2650 | time_backward 9.5220 |
[2023-10-24 20:42:49,055::train::INFO] [train] Iter 587573 | loss 0.5825 | loss(rot) 0.2735 | loss(pos) 0.1269 | loss(seq) 0.1822 | grad 4.2302 | lr 0.0000 | time_forward 1.4070 | time_backward 1.7630 |
[2023-10-24 20:43:05,324::train::INFO] [train] Iter 587574 | loss 0.8111 | loss(rot) 0.7428 | loss(pos) 0.0681 | loss(seq) 0.0002 | grad 27.1391 | lr 0.0000 | time_forward 10.3340 | time_backward 5.9330 |
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