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[2023-10-25 04:36:37,118::train::INFO] [train] Iter 591660 | loss 0.4728 | loss(rot) 0.3940 | loss(pos) 0.0196 | loss(seq) 0.0591 | grad 58.3425 | lr 0.0000 | time_forward 1.0510 | time_backward 1.2170 |
[2023-10-25 04:36:39,918::train::INFO] [train] Iter 591661 | loss 0.4476 | loss(rot) 0.0335 | loss(pos) 0.4097 | loss(seq) 0.0045 | grad 7.0075 | lr 0.0000 | time_forward 1.3500 | time_backward 1.4470 |
[2023-10-25 04:36:47,259::train::INFO] [train] Iter 591662 | loss 0.5055 | loss(rot) 0.2827 | loss(pos) 0.1218 | loss(seq) 0.1009 | grad 3.2864 | lr 0.0000 | time_forward 3.1510 | time_backward 4.1850 |
[2023-10-25 04:36:55,380::train::INFO] [train] Iter 591663 | loss 0.5789 | loss(rot) 0.2705 | loss(pos) 0.2826 | loss(seq) 0.0258 | grad 6.1112 | lr 0.0000 | time_forward 3.5060 | time_backward 4.6130 |
[2023-10-25 04:37:03,048::train::INFO] [train] Iter 591664 | loss 0.2880 | loss(rot) 0.0924 | loss(pos) 0.1305 | loss(seq) 0.0652 | grad 3.3805 | lr 0.0000 | time_forward 3.2770 | time_backward 4.3870 |
[2023-10-25 04:37:12,072::train::INFO] [train] Iter 591665 | loss 0.6959 | loss(rot) 0.4726 | loss(pos) 0.0391 | loss(seq) 0.1842 | grad 3.0375 | lr 0.0000 | time_forward 3.7540 | time_backward 5.2670 |
[2023-10-25 04:37:19,993::train::INFO] [train] Iter 591666 | loss 4.8556 | loss(rot) 0.0019 | loss(pos) 4.8537 | loss(seq) 0.0000 | grad 33.8502 | lr 0.0000 | time_forward 3.3830 | time_backward 4.5340 |
[2023-10-25 04:37:28,988::train::INFO] [train] Iter 591667 | loss 1.6018 | loss(rot) 0.7668 | loss(pos) 0.2068 | loss(seq) 0.6283 | grad 3.7089 | lr 0.0000 | time_forward 3.8360 | time_backward 5.1550 |
[2023-10-25 04:37:32,250::train::INFO] [train] Iter 591668 | loss 2.2282 | loss(rot) 2.1116 | loss(pos) 0.1104 | loss(seq) 0.0062 | grad 9.9807 | lr 0.0000 | time_forward 1.4800 | time_backward 1.7800 |
[2023-10-25 04:37:34,899::train::INFO] [train] Iter 591669 | loss 1.7194 | loss(rot) 1.6882 | loss(pos) 0.0299 | loss(seq) 0.0013 | grad 4.3788 | lr 0.0000 | time_forward 1.2110 | time_backward 1.4330 |
[2023-10-25 04:37:43,823::train::INFO] [train] Iter 591670 | loss 0.6280 | loss(rot) 0.5865 | loss(pos) 0.0314 | loss(seq) 0.0101 | grad 4.1360 | lr 0.0000 | time_forward 3.6880 | time_backward 5.2330 |
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