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[2023-10-22 23:41:06,656::train::INFO] [train] Iter 563388 | loss 0.5736 | loss(rot) 0.0422 | loss(pos) 0.5284 | loss(seq) 0.0030 | grad 8.8336 | lr 0.0000 | time_forward 3.4360 | time_backward 3.9610 |
[2023-10-22 23:41:09,394::train::INFO] [train] Iter 563389 | loss 0.6893 | loss(rot) 0.3528 | loss(pos) 0.0197 | loss(seq) 0.3168 | grad 2.8804 | lr 0.0000 | time_forward 1.3280 | time_backward 1.4070 |
[2023-10-22 23:41:12,246::train::INFO] [train] Iter 563390 | loss 0.2878 | loss(rot) 0.1501 | loss(pos) 0.0227 | loss(seq) 0.1150 | grad 3.0010 | lr 0.0000 | time_forward 1.3610 | time_backward 1.4890 |
[2023-10-22 23:41:20,173::train::INFO] [train] Iter 563391 | loss 0.2368 | loss(rot) 0.0573 | loss(pos) 0.1679 | loss(seq) 0.0117 | grad 5.8073 | lr 0.0000 | time_forward 3.5470 | time_backward 4.3770 |
[2023-10-22 23:41:23,013::train::INFO] [train] Iter 563392 | loss 0.1910 | loss(rot) 0.1473 | loss(pos) 0.0424 | loss(seq) 0.0013 | grad 2.8901 | lr 0.0000 | time_forward 1.3760 | time_backward 1.4610 |
[2023-10-22 23:41:31,636::train::INFO] [train] Iter 563393 | loss 1.7113 | loss(rot) 1.0792 | loss(pos) 0.2190 | loss(seq) 0.4131 | grad 5.4973 | lr 0.0000 | time_forward 3.8050 | time_backward 4.8140 |
[2023-10-22 23:41:38,773::train::INFO] [train] Iter 563394 | loss 0.2565 | loss(rot) 0.0844 | loss(pos) 0.1139 | loss(seq) 0.0582 | grad 2.5938 | lr 0.0000 | time_forward 3.0540 | time_backward 4.0790 |
[2023-10-22 23:41:41,062::train::INFO] [train] Iter 563395 | loss 0.8626 | loss(rot) 0.5438 | loss(pos) 0.0698 | loss(seq) 0.2490 | grad 3.2929 | lr 0.0000 | time_forward 1.0530 | time_backward 1.2330 |
[2023-10-22 23:41:49,237::train::INFO] [train] Iter 563396 | loss 0.4829 | loss(rot) 0.1632 | loss(pos) 0.0542 | loss(seq) 0.2655 | grad 3.5976 | lr 0.0000 | time_forward 3.3650 | time_backward 4.8060 |
[2023-10-22 23:41:57,020::train::INFO] [train] Iter 563397 | loss 0.3705 | loss(rot) 0.1918 | loss(pos) 0.0119 | loss(seq) 0.1668 | grad 2.8750 | lr 0.0000 | time_forward 3.2900 | time_backward 4.4910 |
[2023-10-22 23:42:04,034::train::INFO] [train] Iter 563398 | loss 0.2620 | loss(rot) 0.0546 | loss(pos) 0.1919 | loss(seq) 0.0154 | grad 3.9847 | lr 0.0000 | time_forward 2.9760 | time_backward 4.0340 |
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