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[2023-10-24 19:20:11,858::train::INFO] [train] Iter 586864 | loss 1.6910 | loss(rot) 1.0499 | loss(pos) 0.2098 | loss(seq) 0.4313 | grad 3.4300 | lr 0.0000 | time_forward 3.5600 | time_backward 4.6880 |
[2023-10-24 19:20:20,192::train::INFO] [train] Iter 586865 | loss 0.2587 | loss(rot) 0.0741 | loss(pos) 0.1254 | loss(seq) 0.0592 | grad 3.2989 | lr 0.0000 | time_forward 3.6310 | time_backward 4.6480 |
[2023-10-24 19:20:27,803::train::INFO] [train] Iter 586866 | loss 0.5790 | loss(rot) 0.1708 | loss(pos) 0.0189 | loss(seq) 0.3893 | grad 2.9911 | lr 0.0000 | time_forward 3.3110 | time_backward 4.2960 |
[2023-10-24 19:20:30,495::train::INFO] [train] Iter 586867 | loss 0.4090 | loss(rot) 0.2463 | loss(pos) 0.1225 | loss(seq) 0.0403 | grad 3.4628 | lr 0.0000 | time_forward 1.2790 | time_backward 1.4100 |
[2023-10-24 19:20:38,091::train::INFO] [train] Iter 586868 | loss 0.6726 | loss(rot) 0.2677 | loss(pos) 0.2155 | loss(seq) 0.1894 | grad 3.6186 | lr 0.0000 | time_forward 3.3110 | time_backward 4.2830 |
[2023-10-24 19:20:45,045::train::INFO] [train] Iter 586869 | loss 0.6054 | loss(rot) 0.3413 | loss(pos) 0.0682 | loss(seq) 0.1959 | grad 4.0795 | lr 0.0000 | time_forward 3.0150 | time_backward 3.9360 |
[2023-10-24 19:20:53,288::train::INFO] [train] Iter 586870 | loss 0.5089 | loss(rot) 0.2630 | loss(pos) 0.0287 | loss(seq) 0.2171 | grad 5.6860 | lr 0.0000 | time_forward 3.4110 | time_backward 4.8290 |
[2023-10-24 19:21:00,214::train::INFO] [train] Iter 586871 | loss 0.8834 | loss(rot) 0.0878 | loss(pos) 0.7619 | loss(seq) 0.0338 | grad 7.5470 | lr 0.0000 | time_forward 3.0350 | time_backward 3.8890 |
[2023-10-24 19:21:07,975::train::INFO] [train] Iter 586872 | loss 0.5407 | loss(rot) 0.0528 | loss(pos) 0.4810 | loss(seq) 0.0069 | grad 6.2353 | lr 0.0000 | time_forward 3.3760 | time_backward 4.3820 |
[2023-10-24 19:21:16,387::train::INFO] [train] Iter 586873 | loss 0.4121 | loss(rot) 0.3890 | loss(pos) 0.0186 | loss(seq) 0.0045 | grad 3.1332 | lr 0.0000 | time_forward 3.5000 | time_backward 4.9090 |
[2023-10-24 19:21:24,812::train::INFO] [train] Iter 586874 | loss 0.7564 | loss(rot) 0.5732 | loss(pos) 0.0573 | loss(seq) 0.1258 | grad 7.4934 | lr 0.0000 | time_forward 3.6110 | time_backward 4.8100 |
[2023-10-24 19:21:28,243::train::INFO] [train] Iter 586875 | loss 0.8308 | loss(rot) 0.3874 | loss(pos) 0.2172 | loss(seq) 0.2262 | grad 3.1733 | lr 0.0000 | time_forward 1.6350 | time_backward 1.7920 |
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