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[2023-10-24 21:05:09,197::train::INFO] [train] Iter 587764 | loss 0.5613 | loss(rot) 0.3994 | loss(pos) 0.0172 | loss(seq) 0.1446 | grad 5.1601 | lr 0.0000 | time_forward 3.2360 | time_backward 4.4240 |
[2023-10-24 21:05:11,907::train::INFO] [train] Iter 587765 | loss 1.6526 | loss(rot) 1.6256 | loss(pos) 0.0252 | loss(seq) 0.0019 | grad 2.9040 | lr 0.0000 | time_forward 1.2480 | time_backward 1.4600 |
[2023-10-24 21:05:17,767::train::INFO] [train] Iter 587766 | loss 0.4394 | loss(rot) 0.2526 | loss(pos) 0.0344 | loss(seq) 0.1524 | grad 2.6890 | lr 0.0000 | time_forward 2.5460 | time_backward 3.3090 |
[2023-10-24 21:05:25,060::train::INFO] [train] Iter 587767 | loss 0.1459 | loss(rot) 0.1126 | loss(pos) 0.0333 | loss(seq) 0.0000 | grad 2.3218 | lr 0.0000 | time_forward 3.0890 | time_backward 4.1840 |
[2023-10-24 21:05:34,258::train::INFO] [train] Iter 587768 | loss 0.1720 | loss(rot) 0.1492 | loss(pos) 0.0225 | loss(seq) 0.0003 | grad 3.3092 | lr 0.0000 | time_forward 3.7960 | time_backward 5.4000 |
[2023-10-24 21:05:36,755::train::INFO] [train] Iter 587769 | loss 0.4953 | loss(rot) 0.2166 | loss(pos) 0.1092 | loss(seq) 0.1694 | grad 2.6162 | lr 0.0000 | time_forward 1.2340 | time_backward 1.2600 |
[2023-10-24 21:05:44,720::train::INFO] [train] Iter 587770 | loss 0.5397 | loss(rot) 0.0591 | loss(pos) 0.1494 | loss(seq) 0.3313 | grad 6.7798 | lr 0.0000 | time_forward 3.4050 | time_backward 4.5560 |
[2023-10-24 21:05:47,607::train::INFO] [train] Iter 587771 | loss 0.6552 | loss(rot) 0.0266 | loss(pos) 0.6226 | loss(seq) 0.0060 | grad 11.2876 | lr 0.0000 | time_forward 1.3350 | time_backward 1.5500 |
[2023-10-24 21:05:56,726::train::INFO] [train] Iter 587772 | loss 0.5159 | loss(rot) 0.2165 | loss(pos) 0.1836 | loss(seq) 0.1158 | grad 4.0539 | lr 0.0000 | time_forward 3.9250 | time_backward 5.1900 |
[2023-10-24 21:06:05,170::train::INFO] [train] Iter 587773 | loss 0.7162 | loss(rot) 0.3211 | loss(pos) 0.3659 | loss(seq) 0.0293 | grad 5.9224 | lr 0.0000 | time_forward 3.6170 | time_backward 4.8250 |
[2023-10-24 21:06:13,215::train::INFO] [train] Iter 587774 | loss 0.3890 | loss(rot) 0.3607 | loss(pos) 0.0214 | loss(seq) 0.0069 | grad 2.8661 | lr 0.0000 | time_forward 3.4250 | time_backward 4.6160 |
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