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[2023-09-02 06:06:50,436::train::INFO] [train] Iter 06778 | loss 2.2435 | loss(rot) 1.9592 | loss(pos) 0.1169 | loss(seq) 0.1674 | grad 3.3180 | lr 0.0010 | time_forward 2.9350 | time_backward 3.8410 |
[2023-09-02 06:06:59,224::train::INFO] [train] Iter 06779 | loss 2.1187 | loss(rot) 1.5488 | loss(pos) 0.2381 | loss(seq) 0.3318 | grad 5.8467 | lr 0.0010 | time_forward 3.7510 | time_backward 5.0340 |
[2023-09-02 06:07:07,864::train::INFO] [train] Iter 06780 | loss 3.0111 | loss(rot) 2.1022 | loss(pos) 0.4902 | loss(seq) 0.4187 | grad 4.5122 | lr 0.0010 | time_forward 3.7280 | time_backward 4.9080 |
[2023-09-02 06:07:12,557::train::INFO] [train] Iter 06781 | loss 1.4536 | loss(rot) 0.3524 | loss(pos) 1.0321 | loss(seq) 0.0691 | grad 5.0224 | lr 0.0010 | time_forward 2.1030 | time_backward 2.5870 |
[2023-09-02 06:07:20,638::train::INFO] [train] Iter 06782 | loss 2.8262 | loss(rot) 2.2912 | loss(pos) 0.1700 | loss(seq) 0.3649 | grad 4.6636 | lr 0.0010 | time_forward 3.2770 | time_backward 4.8010 |
[2023-09-02 06:07:30,828::train::INFO] [train] Iter 06783 | loss 2.7415 | loss(rot) 2.0672 | loss(pos) 0.2503 | loss(seq) 0.4240 | grad 4.7809 | lr 0.0010 | time_forward 4.0930 | time_backward 6.0220 |
[2023-09-02 06:07:40,453::train::INFO] [train] Iter 06784 | loss 2.1763 | loss(rot) 1.7432 | loss(pos) 0.2208 | loss(seq) 0.2123 | grad 3.3701 | lr 0.0010 | time_forward 3.9780 | time_backward 5.6440 |
[2023-09-02 06:07:49,522::train::INFO] [train] Iter 06785 | loss 1.7497 | loss(rot) 0.0659 | loss(pos) 1.4384 | loss(seq) 0.2454 | grad 5.2797 | lr 0.0010 | time_forward 3.8630 | time_backward 5.2020 |
[2023-09-02 06:07:58,550::train::INFO] [train] Iter 06786 | loss 1.6527 | loss(rot) 0.6416 | loss(pos) 0.2979 | loss(seq) 0.7131 | grad 3.3023 | lr 0.0010 | time_forward 3.8010 | time_backward 5.2250 |
[2023-09-02 06:08:08,338::train::INFO] [train] Iter 06787 | loss 2.7268 | loss(rot) 2.4873 | loss(pos) 0.1488 | loss(seq) 0.0908 | grad 3.4857 | lr 0.0010 | time_forward 4.1650 | time_backward 5.6190 |
[2023-09-02 06:08:17,022::train::INFO] [train] Iter 06788 | loss 2.3333 | loss(rot) 2.1825 | loss(pos) 0.1507 | loss(seq) 0.0001 | grad 4.4078 | lr 0.0010 | time_forward 3.6630 | time_backward 5.0170 |
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