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[2023-10-24 05:54:40,436::train::INFO] [train] Iter 579872 | loss 0.8993 | loss(rot) 0.4202 | loss(pos) 0.1405 | loss(seq) 0.3387 | grad 3.4637 | lr 0.0000 | time_forward 1.5490 | time_backward 1.8830 |
[2023-10-24 05:54:43,214::train::INFO] [train] Iter 579873 | loss 0.2264 | loss(rot) 0.0676 | loss(pos) 0.0170 | loss(seq) 0.1418 | grad 1.4819 | lr 0.0000 | time_forward 1.3240 | time_backward 1.4390 |
[2023-10-24 05:54:51,335::train::INFO] [train] Iter 579874 | loss 0.4565 | loss(rot) 0.2950 | loss(pos) 0.0959 | loss(seq) 0.0655 | grad 4.2927 | lr 0.0000 | time_forward 3.4380 | time_backward 4.6760 |
[2023-10-24 05:55:00,915::train::INFO] [train] Iter 579875 | loss 1.0152 | loss(rot) 0.8185 | loss(pos) 0.0490 | loss(seq) 0.1477 | grad 3.0742 | lr 0.0000 | time_forward 4.0390 | time_backward 5.5380 |
[2023-10-24 05:55:03,779::train::INFO] [train] Iter 579876 | loss 0.5170 | loss(rot) 0.2771 | loss(pos) 0.0545 | loss(seq) 0.1855 | grad 3.3332 | lr 0.0000 | time_forward 1.3110 | time_backward 1.5500 |
[2023-10-24 05:55:12,247::train::INFO] [train] Iter 579877 | loss 0.3799 | loss(rot) 0.0745 | loss(pos) 0.2705 | loss(seq) 0.0348 | grad 7.3115 | lr 0.0000 | time_forward 3.5480 | time_backward 4.9180 |
[2023-10-24 05:55:22,032::train::INFO] [train] Iter 579878 | loss 1.2466 | loss(rot) 0.8006 | loss(pos) 0.2072 | loss(seq) 0.2388 | grad 18.0083 | lr 0.0000 | time_forward 3.9720 | time_backward 5.8090 |
[2023-10-24 05:55:30,628::train::INFO] [train] Iter 579879 | loss 1.5499 | loss(rot) 1.0607 | loss(pos) 0.1085 | loss(seq) 0.3806 | grad 4.0810 | lr 0.0000 | time_forward 3.6280 | time_backward 4.9660 |
[2023-10-24 05:55:40,378::train::INFO] [train] Iter 579880 | loss 0.6785 | loss(rot) 0.6307 | loss(pos) 0.0148 | loss(seq) 0.0330 | grad 2.3646 | lr 0.0000 | time_forward 3.8670 | time_backward 5.8790 |
[2023-10-24 05:55:43,270::train::INFO] [train] Iter 579881 | loss 1.2842 | loss(rot) 0.0107 | loss(pos) 1.2732 | loss(seq) 0.0002 | grad 11.0129 | lr 0.0000 | time_forward 1.3870 | time_backward 1.5020 |
[2023-10-24 05:55:46,145::train::INFO] [train] Iter 579882 | loss 0.3310 | loss(rot) 0.0402 | loss(pos) 0.2827 | loss(seq) 0.0080 | grad 6.3187 | lr 0.0000 | time_forward 1.3750 | time_backward 1.4580 |
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