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[2023-09-02 09:35:16,780::train::INFO] [train] Iter 08476 | loss 2.2894 | loss(rot) 1.7314 | loss(pos) 0.1963 | loss(seq) 0.3617 | grad 6.7478 | lr 0.0010 | time_forward 3.9510 | time_backward 5.9350 |
[2023-09-02 09:35:25,980::train::INFO] [train] Iter 08477 | loss 2.6083 | loss(rot) 1.3520 | loss(pos) 0.4929 | loss(seq) 0.7634 | grad 8.0963 | lr 0.0010 | time_forward 3.8570 | time_backward 5.3390 |
[2023-09-02 09:35:34,762::train::INFO] [train] Iter 08478 | loss 1.6630 | loss(rot) 1.1011 | loss(pos) 0.2003 | loss(seq) 0.3616 | grad 4.5569 | lr 0.0010 | time_forward 3.6430 | time_backward 5.1340 |
[2023-09-02 09:35:43,358::train::INFO] [train] Iter 08479 | loss 2.0290 | loss(rot) 1.1264 | loss(pos) 0.4074 | loss(seq) 0.4952 | grad 4.4984 | lr 0.0010 | time_forward 3.6640 | time_backward 4.9290 |
[2023-09-02 09:35:53,308::train::INFO] [train] Iter 08480 | loss 2.4875 | loss(rot) 2.2584 | loss(pos) 0.2270 | loss(seq) 0.0021 | grad 4.1892 | lr 0.0010 | time_forward 3.9910 | time_backward 5.9550 |
[2023-09-02 09:36:03,106::train::INFO] [train] Iter 08481 | loss 0.9283 | loss(rot) 0.5111 | loss(pos) 0.2149 | loss(seq) 0.2023 | grad 3.5681 | lr 0.0010 | time_forward 3.9710 | time_backward 5.8240 |
[2023-09-02 09:36:05,527::train::INFO] [train] Iter 08482 | loss 2.0424 | loss(rot) 1.9717 | loss(pos) 0.0699 | loss(seq) 0.0007 | grad 4.7879 | lr 0.0010 | time_forward 1.1300 | time_backward 1.2880 |
[2023-09-02 09:36:15,579::train::INFO] [train] Iter 08483 | loss 2.9607 | loss(rot) 2.7429 | loss(pos) 0.1634 | loss(seq) 0.0544 | grad 3.6267 | lr 0.0010 | time_forward 4.3920 | time_backward 5.6560 |
[2023-09-02 09:36:27,394::train::INFO] [train] Iter 08484 | loss 0.7064 | loss(rot) 0.2195 | loss(pos) 0.4342 | loss(seq) 0.0528 | grad 3.1371 | lr 0.0010 | time_forward 6.0260 | time_backward 5.7860 |
[2023-09-02 09:36:36,353::train::INFO] [train] Iter 08485 | loss 1.2633 | loss(rot) 1.0289 | loss(pos) 0.2344 | loss(seq) 0.0000 | grad 4.6041 | lr 0.0010 | time_forward 3.8040 | time_backward 5.1510 |
[2023-09-02 09:36:46,056::train::INFO] [train] Iter 08486 | loss 1.3528 | loss(rot) 0.4257 | loss(pos) 0.6767 | loss(seq) 0.2504 | grad 4.4677 | lr 0.0010 | time_forward 3.9420 | time_backward 5.7580 |
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