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[2023-10-25 13:34:32,244::train::INFO] [train] Iter 596355 | loss 0.7084 | loss(rot) 0.3907 | loss(pos) 0.0329 | loss(seq) 0.2847 | grad 3.3976 | lr 0.0000 | time_forward 3.9420 | time_backward 5.9780 |
[2023-10-25 13:34:41,640::train::INFO] [train] Iter 596356 | loss 2.1350 | loss(rot) 1.3919 | loss(pos) 0.4080 | loss(seq) 0.3350 | grad 5.1384 | lr 0.0000 | time_forward 4.1700 | time_backward 5.2230 |
[2023-10-25 13:34:49,650::train::INFO] [train] Iter 596357 | loss 0.4961 | loss(rot) 0.1990 | loss(pos) 0.0317 | loss(seq) 0.2654 | grad 2.9925 | lr 0.0000 | time_forward 3.4330 | time_backward 4.5730 |
[2023-10-25 13:34:52,438::train::INFO] [train] Iter 596358 | loss 0.3978 | loss(rot) 0.0724 | loss(pos) 0.0549 | loss(seq) 0.2704 | grad 2.1679 | lr 0.0000 | time_forward 1.3190 | time_backward 1.4660 |
[2023-10-25 13:35:02,815::train::INFO] [train] Iter 596359 | loss 0.2590 | loss(rot) 0.0650 | loss(pos) 0.1769 | loss(seq) 0.0171 | grad 6.0243 | lr 0.0000 | time_forward 4.1600 | time_backward 6.1940 |
[2023-10-25 13:35:11,208::train::INFO] [train] Iter 596360 | loss 1.3040 | loss(rot) 1.2829 | loss(pos) 0.0201 | loss(seq) 0.0010 | grad 5.8837 | lr 0.0000 | time_forward 3.5840 | time_backward 4.8040 |
[2023-10-25 13:35:20,310::train::INFO] [train] Iter 596361 | loss 0.2630 | loss(rot) 0.2370 | loss(pos) 0.0174 | loss(seq) 0.0086 | grad 12.1623 | lr 0.0000 | time_forward 3.8990 | time_backward 5.2000 |
[2023-10-25 13:35:23,131::train::INFO] [train] Iter 596362 | loss 1.7156 | loss(rot) 1.6331 | loss(pos) 0.0336 | loss(seq) 0.0489 | grad 9.3359 | lr 0.0000 | time_forward 1.3110 | time_backward 1.5070 |
[2023-10-25 13:35:25,993::train::INFO] [train] Iter 596363 | loss 1.5251 | loss(rot) 0.1655 | loss(pos) 1.3560 | loss(seq) 0.0035 | grad 8.8456 | lr 0.0000 | time_forward 1.3720 | time_backward 1.4460 |
[2023-10-25 13:35:33,936::train::INFO] [train] Iter 596364 | loss 2.1078 | loss(rot) 1.9486 | loss(pos) 0.0304 | loss(seq) 0.1289 | grad 4.8266 | lr 0.0000 | time_forward 3.3560 | time_backward 4.5830 |
[2023-10-25 13:35:44,473::train::INFO] [train] Iter 596365 | loss 2.1532 | loss(rot) 1.8391 | loss(pos) 0.1421 | loss(seq) 0.1720 | grad 7.4323 | lr 0.0000 | time_forward 4.3310 | time_backward 6.2020 |
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