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[2023-10-25 16:05:25,390::train::INFO] [train] Iter 597654 | loss 2.0432 | loss(rot) 1.2869 | loss(pos) 0.2691 | loss(seq) 0.4871 | grad 4.4887 | lr 0.0000 | time_forward 2.9970 | time_backward 4.0940 |
[2023-10-25 16:05:31,935::train::INFO] [train] Iter 597655 | loss 1.6677 | loss(rot) 0.0064 | loss(pos) 1.6612 | loss(seq) 0.0001 | grad 28.9155 | lr 0.0000 | time_forward 2.8810 | time_backward 3.6620 |
[2023-10-25 16:05:34,268::train::INFO] [train] Iter 597656 | loss 0.7093 | loss(rot) 0.2854 | loss(pos) 0.2513 | loss(seq) 0.1725 | grad 3.2576 | lr 0.0000 | time_forward 1.0730 | time_backward 1.2560 |
[2023-10-25 16:05:41,814::train::INFO] [train] Iter 597657 | loss 0.5467 | loss(rot) 0.3093 | loss(pos) 0.0130 | loss(seq) 0.2244 | grad 3.7271 | lr 0.0000 | time_forward 3.2940 | time_backward 4.2490 |
[2023-10-25 16:05:47,632::train::INFO] [train] Iter 597658 | loss 0.9789 | loss(rot) 0.0242 | loss(pos) 0.9541 | loss(seq) 0.0005 | grad 13.5169 | lr 0.0000 | time_forward 2.4970 | time_backward 3.3180 |
[2023-10-25 16:05:50,866::train::INFO] [train] Iter 597659 | loss 1.8590 | loss(rot) 1.8376 | loss(pos) 0.0213 | loss(seq) 0.0001 | grad 6.3723 | lr 0.0000 | time_forward 1.4590 | time_backward 1.7640 |
[2023-10-25 16:05:59,131::train::INFO] [train] Iter 597660 | loss 0.4197 | loss(rot) 0.0206 | loss(pos) 0.3956 | loss(seq) 0.0035 | grad 9.7945 | lr 0.0000 | time_forward 3.4960 | time_backward 4.7560 |
[2023-10-25 16:06:06,880::train::INFO] [train] Iter 597661 | loss 0.3644 | loss(rot) 0.1933 | loss(pos) 0.1224 | loss(seq) 0.0488 | grad 3.8372 | lr 0.0000 | time_forward 3.4180 | time_backward 4.3280 |
[2023-10-25 16:06:15,144::train::INFO] [train] Iter 597662 | loss 0.3697 | loss(rot) 0.2375 | loss(pos) 0.0202 | loss(seq) 0.1121 | grad 4.6223 | lr 0.0000 | time_forward 3.4390 | time_backward 4.8220 |
[2023-10-25 16:06:23,578::train::INFO] [train] Iter 597663 | loss 0.2258 | loss(rot) 0.1888 | loss(pos) 0.0364 | loss(seq) 0.0006 | grad 1.8578 | lr 0.0000 | time_forward 3.4170 | time_backward 5.0130 |
[2023-10-25 16:06:26,371::train::INFO] [train] Iter 597664 | loss 0.1636 | loss(rot) 0.0868 | loss(pos) 0.0150 | loss(seq) 0.0617 | grad 1.5660 | lr 0.0000 | time_forward 1.3530 | time_backward 1.4370 |
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