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[2023-10-24 11:31:28,221::train::INFO] [train] Iter 582669 | loss 0.5450 | loss(rot) 0.1457 | loss(pos) 0.2159 | loss(seq) 0.1834 | grad 4.4779 | lr 0.0000 | time_forward 1.2910 | time_backward 1.4690 |
[2023-10-24 11:31:42,378::train::INFO] [train] Iter 582670 | loss 1.1720 | loss(rot) 1.1359 | loss(pos) 0.0351 | loss(seq) 0.0009 | grad 4.3323 | lr 0.0000 | time_forward 8.5630 | time_backward 5.5910 |
[2023-10-24 11:31:45,237::train::INFO] [train] Iter 582671 | loss 2.6027 | loss(rot) 2.4447 | loss(pos) 0.0339 | loss(seq) 0.1241 | grad 8.7743 | lr 0.0000 | time_forward 1.2180 | time_backward 1.6370 |
[2023-10-24 11:31:54,052::train::INFO] [train] Iter 582672 | loss 1.5544 | loss(rot) 0.9515 | loss(pos) 0.1477 | loss(seq) 0.4551 | grad 2.8299 | lr 0.0000 | time_forward 4.0320 | time_backward 4.7800 |
[2023-10-24 11:32:03,267::train::INFO] [train] Iter 582673 | loss 1.7925 | loss(rot) 1.7510 | loss(pos) 0.0284 | loss(seq) 0.0131 | grad 11.5085 | lr 0.0000 | time_forward 3.9170 | time_backward 5.2950 |
[2023-10-24 11:32:06,015::train::INFO] [train] Iter 582674 | loss 0.6900 | loss(rot) 0.2631 | loss(pos) 0.1399 | loss(seq) 0.2870 | grad 3.8330 | lr 0.0000 | time_forward 1.3110 | time_backward 1.4330 |
[2023-10-24 11:32:17,054::train::INFO] [train] Iter 582675 | loss 0.1548 | loss(rot) 0.1168 | loss(pos) 0.0328 | loss(seq) 0.0052 | grad 1.6757 | lr 0.0000 | time_forward 3.7920 | time_backward 7.2420 |
[2023-10-24 11:32:20,643::train::INFO] [train] Iter 582676 | loss 0.4155 | loss(rot) 0.0696 | loss(pos) 0.0572 | loss(seq) 0.2886 | grad 3.3175 | lr 0.0000 | time_forward 1.8440 | time_backward 1.7430 |
[2023-10-24 11:32:33,143::train::INFO] [train] Iter 582677 | loss 0.7821 | loss(rot) 0.7254 | loss(pos) 0.0304 | loss(seq) 0.0263 | grad 3.1797 | lr 0.0000 | time_forward 7.8950 | time_backward 4.6010 |
[2023-10-24 11:32:35,816::train::INFO] [train] Iter 582678 | loss 0.6521 | loss(rot) 0.0882 | loss(pos) 0.5447 | loss(seq) 0.0193 | grad 10.9059 | lr 0.0000 | time_forward 1.2840 | time_backward 1.3870 |
[2023-10-24 11:32:42,482::train::INFO] [train] Iter 582679 | loss 0.5033 | loss(rot) 0.0986 | loss(pos) 0.0278 | loss(seq) 0.3768 | grad 3.0084 | lr 0.0000 | time_forward 2.9210 | time_backward 3.7410 |
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