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[2023-10-25 08:24:06,400::train::INFO] [train] Iter 593760 | loss 2.0081 | loss(rot) 1.4142 | loss(pos) 0.1927 | loss(seq) 0.4012 | grad 5.3631 | lr 0.0000 | time_forward 3.3000 | time_backward 4.5090
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[2023-10-25 08:24:26,190::train::INFO] [train] Iter 593763 | loss 0.8669 | loss(rot) 0.4761 | loss(pos) 0.0892 | loss(seq) 0.3016 | grad 4.1604 | lr 0.0000 | time_forward 3.5400 | time_backward 4.6840
[2023-10-25 08:24:28,468::train::INFO] [train] Iter 593764 | loss 0.5677 | loss(rot) 0.3966 | loss(pos) 0.0341 | loss(seq) 0.1370 | grad 93.9282 | lr 0.0000 | time_forward 1.0670 | time_backward 1.2070
[2023-10-25 08:24:36,255::train::INFO] [train] Iter 593765 | loss 0.1244 | loss(rot) 0.0641 | loss(pos) 0.0297 | loss(seq) 0.0305 | grad 2.4750 | lr 0.0000 | time_forward 3.3520 | time_backward 4.4320
[2023-10-25 08:24:43,521::train::INFO] [train] Iter 593766 | loss 0.2623 | loss(rot) 0.0325 | loss(pos) 0.0297 | loss(seq) 0.2002 | grad 2.4473 | lr 0.0000 | time_forward 3.1010 | time_backward 4.1610
[2023-10-25 08:24:51,340::train::INFO] [train] Iter 593767 | loss 0.9575 | loss(rot) 0.1002 | loss(pos) 0.0284 | loss(seq) 0.8288 | grad 4.1410 | lr 0.0000 | time_forward 3.3800 | time_backward 4.4360
[2023-10-25 08:24:54,040::train::INFO] [train] Iter 593768 | loss 0.5445 | loss(rot) 0.0944 | loss(pos) 0.1719 | loss(seq) 0.2782 | grad 4.7203 | lr 0.0000 | time_forward 1.2950 | time_backward 1.4020