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[2023-10-24 18:44:42,158::train::INFO] [train] Iter 586565 | loss 1.5551 | loss(rot) 0.7163 | loss(pos) 0.1413 | loss(seq) 0.6975 | grad 20.9280 | lr 0.0000 | time_forward 3.4570 | time_backward 4.5560 |
[2023-10-24 18:44:44,920::train::INFO] [train] Iter 586566 | loss 0.9992 | loss(rot) 0.4006 | loss(pos) 0.0881 | loss(seq) 0.5105 | grad 3.5678 | lr 0.0000 | time_forward 1.2840 | time_backward 1.4750 |
[2023-10-24 18:44:47,594::train::INFO] [train] Iter 586567 | loss 0.4665 | loss(rot) 0.2748 | loss(pos) 0.0954 | loss(seq) 0.0963 | grad 4.0418 | lr 0.0000 | time_forward 1.2810 | time_backward 1.3900 |
[2023-10-24 18:44:55,593::train::INFO] [train] Iter 586568 | loss 1.4322 | loss(rot) 0.8013 | loss(pos) 0.1267 | loss(seq) 0.5042 | grad 3.1151 | lr 0.0000 | time_forward 3.4680 | time_backward 4.5280 |
[2023-10-24 18:44:58,290::train::INFO] [train] Iter 586569 | loss 0.3188 | loss(rot) 0.1233 | loss(pos) 0.1331 | loss(seq) 0.0624 | grad 4.0014 | lr 0.0000 | time_forward 1.2910 | time_backward 1.3960 |
[2023-10-24 18:45:00,536::train::INFO] [train] Iter 586570 | loss 0.0968 | loss(rot) 0.0742 | loss(pos) 0.0190 | loss(seq) 0.0036 | grad 1.5118 | lr 0.0000 | time_forward 1.0510 | time_backward 1.1910 |
[2023-10-24 18:45:15,670::train::INFO] [train] Iter 586571 | loss 0.3999 | loss(rot) 0.2943 | loss(pos) 0.0314 | loss(seq) 0.0743 | grad 2.4935 | lr 0.0000 | time_forward 3.5260 | time_backward 11.6050 |
[2023-10-24 18:45:25,027::train::INFO] [train] Iter 586572 | loss 0.1832 | loss(rot) 0.0728 | loss(pos) 0.1020 | loss(seq) 0.0084 | grad 2.3821 | lr 0.0000 | time_forward 4.5100 | time_backward 4.8440 |
[2023-10-24 18:45:27,826::train::INFO] [train] Iter 586573 | loss 0.3995 | loss(rot) 0.1298 | loss(pos) 0.2337 | loss(seq) 0.0360 | grad 4.4693 | lr 0.0000 | time_forward 1.2900 | time_backward 1.5040 |
[2023-10-24 18:45:36,196::train::INFO] [train] Iter 586574 | loss 0.1405 | loss(rot) 0.0879 | loss(pos) 0.0277 | loss(seq) 0.0249 | grad 1.4419 | lr 0.0000 | time_forward 3.5590 | time_backward 4.8080 |
[2023-10-24 18:45:45,714::train::INFO] [train] Iter 586575 | loss 0.4537 | loss(rot) 0.2170 | loss(pos) 0.0213 | loss(seq) 0.2154 | grad 4.2193 | lr 0.0000 | time_forward 3.4080 | time_backward 6.1080 |
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