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[2023-09-02 16:12:23,781::train::INFO] [train] Iter 11773 | loss 2.2243 | loss(rot) 0.0501 | loss(pos) 2.1730 | loss(seq) 0.0012 | grad 7.6036 | lr 0.0010 | time_forward 2.9490 | time_backward 3.9630 |
[2023-09-02 16:12:32,184::train::INFO] [train] Iter 11774 | loss 0.9932 | loss(rot) 0.1869 | loss(pos) 0.7625 | loss(seq) 0.0437 | grad 2.9471 | lr 0.0010 | time_forward 3.4980 | time_backward 4.9000 |
[2023-09-02 16:12:39,161::train::INFO] [train] Iter 11775 | loss 1.6822 | loss(rot) 1.5777 | loss(pos) 0.1040 | loss(seq) 0.0006 | grad 8.4557 | lr 0.0010 | time_forward 2.7060 | time_backward 4.2670 |
[2023-09-02 16:12:41,705::train::INFO] [train] Iter 11776 | loss 0.7425 | loss(rot) 0.6503 | loss(pos) 0.0677 | loss(seq) 0.0245 | grad 3.9659 | lr 0.0010 | time_forward 1.1820 | time_backward 1.3590 |
[2023-09-02 16:12:49,141::train::INFO] [train] Iter 11777 | loss 1.7099 | loss(rot) 0.0867 | loss(pos) 1.6170 | loss(seq) 0.0061 | grad 5.5835 | lr 0.0010 | time_forward 3.0070 | time_backward 4.4260 |
[2023-09-02 16:12:51,690::train::INFO] [train] Iter 11778 | loss 1.6982 | loss(rot) 0.5882 | loss(pos) 0.9123 | loss(seq) 0.1978 | grad 7.3080 | lr 0.0010 | time_forward 1.1920 | time_backward 1.3530 |
[2023-09-02 16:12:54,230::train::INFO] [train] Iter 11779 | loss 1.3153 | loss(rot) 0.6931 | loss(pos) 0.1388 | loss(seq) 0.4834 | grad 4.3180 | lr 0.0010 | time_forward 1.1520 | time_backward 1.3690 |
[2023-09-02 16:12:56,816::train::INFO] [train] Iter 11780 | loss 2.6833 | loss(rot) 2.5402 | loss(pos) 0.1396 | loss(seq) 0.0035 | grad 6.5729 | lr 0.0010 | time_forward 1.1920 | time_backward 1.3910 |
[2023-09-02 16:12:59,432::train::INFO] [train] Iter 11781 | loss 2.9525 | loss(rot) 0.8388 | loss(pos) 1.4843 | loss(seq) 0.6294 | grad 8.6899 | lr 0.0010 | time_forward 1.2310 | time_backward 1.3800 |
[2023-09-02 16:13:05,871::train::INFO] [train] Iter 11782 | loss 1.4258 | loss(rot) 1.0995 | loss(pos) 0.1086 | loss(seq) 0.2177 | grad 5.4777 | lr 0.0010 | time_forward 2.5540 | time_backward 3.8810 |
[2023-09-02 16:13:08,397::train::INFO] [train] Iter 11783 | loss 2.0346 | loss(rot) 1.6921 | loss(pos) 0.3425 | loss(seq) 0.0000 | grad 4.5280 | lr 0.0010 | time_forward 1.1660 | time_backward 1.3570 |
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