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[2023-10-24 11:51:58,197::train::INFO] [train] Iter 582869 | loss 0.8263 | loss(rot) 0.7490 | loss(pos) 0.0436 | loss(seq) 0.0337 | grad 9.9757 | lr 0.0000 | time_forward 3.3690 | time_backward 4.6900 |
[2023-10-24 11:52:05,512::train::INFO] [train] Iter 582870 | loss 0.3318 | loss(rot) 0.1253 | loss(pos) 0.0586 | loss(seq) 0.1478 | grad 2.8321 | lr 0.0000 | time_forward 3.1640 | time_backward 4.1480 |
[2023-10-24 11:52:08,238::train::INFO] [train] Iter 582871 | loss 0.3460 | loss(rot) 0.0723 | loss(pos) 0.1915 | loss(seq) 0.0822 | grad 4.8534 | lr 0.0000 | time_forward 1.3220 | time_backward 1.4000 |
[2023-10-24 11:52:16,349::train::INFO] [train] Iter 582872 | loss 0.8803 | loss(rot) 0.5065 | loss(pos) 0.0436 | loss(seq) 0.3302 | grad 3.6866 | lr 0.0000 | time_forward 3.3520 | time_backward 4.7260 |
[2023-10-24 11:52:18,834::train::INFO] [train] Iter 582873 | loss 1.5749 | loss(rot) 1.4869 | loss(pos) 0.0503 | loss(seq) 0.0377 | grad 6.7127 | lr 0.0000 | time_forward 1.2160 | time_backward 1.2630 |
[2023-10-24 11:52:26,123::train::INFO] [train] Iter 582874 | loss 0.4367 | loss(rot) 0.0681 | loss(pos) 0.0346 | loss(seq) 0.3340 | grad 1.8960 | lr 0.0000 | time_forward 3.1780 | time_backward 4.1090 |
[2023-10-24 11:52:33,418::train::INFO] [train] Iter 582875 | loss 0.1952 | loss(rot) 0.0693 | loss(pos) 0.0113 | loss(seq) 0.1145 | grad 1.4482 | lr 0.0000 | time_forward 3.1390 | time_backward 4.1520 |
[2023-10-24 11:52:35,685::train::INFO] [train] Iter 582876 | loss 0.9424 | loss(rot) 0.4000 | loss(pos) 0.1849 | loss(seq) 0.3576 | grad 21.3947 | lr 0.0000 | time_forward 1.0570 | time_backward 1.2070 |
[2023-10-24 11:52:43,249::train::INFO] [train] Iter 582877 | loss 0.1853 | loss(rot) 0.0780 | loss(pos) 0.0419 | loss(seq) 0.0655 | grad 2.3326 | lr 0.0000 | time_forward 3.3310 | time_backward 4.2290 |
[2023-10-24 11:52:50,094::train::INFO] [train] Iter 582878 | loss 0.2431 | loss(rot) 0.1637 | loss(pos) 0.0314 | loss(seq) 0.0481 | grad 2.0332 | lr 0.0000 | time_forward 2.8810 | time_backward 3.9610 |
[2023-10-24 11:52:57,090::train::INFO] [train] Iter 582879 | loss 0.9343 | loss(rot) 0.4035 | loss(pos) 0.0968 | loss(seq) 0.4339 | grad 4.1015 | lr 0.0000 | time_forward 3.0090 | time_backward 3.9850 |
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