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[2023-10-25 16:14:58,529::train::INFO] [train] Iter 597754 | loss 0.4431 | loss(rot) 0.2943 | loss(pos) 0.1250 | loss(seq) 0.0238 | grad 3.3479 | lr 0.0000 | time_forward 3.0830 | time_backward 4.2160 |
[2023-10-25 16:15:01,360::train::INFO] [train] Iter 597755 | loss 0.5131 | loss(rot) 0.0556 | loss(pos) 0.0331 | loss(seq) 0.4244 | grad 3.0489 | lr 0.0000 | time_forward 1.3790 | time_backward 1.4480 |
[2023-10-25 16:15:04,219::train::INFO] [train] Iter 597756 | loss 0.5764 | loss(rot) 0.1702 | loss(pos) 0.0433 | loss(seq) 0.3629 | grad 3.0245 | lr 0.0000 | time_forward 1.3610 | time_backward 1.4940 |
[2023-10-25 16:15:07,068::train::INFO] [train] Iter 597757 | loss 0.5730 | loss(rot) 0.4851 | loss(pos) 0.0331 | loss(seq) 0.0548 | grad 3.4387 | lr 0.0000 | time_forward 1.4020 | time_backward 1.4440 |
[2023-10-25 16:15:09,894::train::INFO] [train] Iter 597758 | loss 0.3422 | loss(rot) 0.0730 | loss(pos) 0.0703 | loss(seq) 0.1988 | grad 2.3175 | lr 0.0000 | time_forward 1.3650 | time_backward 1.4570 |
[2023-10-25 16:15:17,932::train::INFO] [train] Iter 597759 | loss 0.6006 | loss(rot) 0.1239 | loss(pos) 0.4609 | loss(seq) 0.0158 | grad 5.0388 | lr 0.0000 | time_forward 3.3930 | time_backward 4.6420 |
[2023-10-25 16:15:20,719::train::INFO] [train] Iter 597760 | loss 1.0437 | loss(rot) 0.5165 | loss(pos) 0.1046 | loss(seq) 0.4225 | grad 5.2042 | lr 0.0000 | time_forward 1.2950 | time_backward 1.4890 |
[2023-10-25 16:15:23,676::train::INFO] [train] Iter 597761 | loss 3.7255 | loss(rot) 0.0107 | loss(pos) 3.7148 | loss(seq) 0.0000 | grad 27.1566 | lr 0.0000 | time_forward 1.3660 | time_backward 1.5870 |
[2023-10-25 16:15:26,536::train::INFO] [train] Iter 597762 | loss 0.6860 | loss(rot) 0.4837 | loss(pos) 0.0657 | loss(seq) 0.1366 | grad 56.3937 | lr 0.0000 | time_forward 1.3520 | time_backward 1.4780 |
[2023-10-25 16:15:29,439::train::INFO] [train] Iter 597763 | loss 0.6736 | loss(rot) 0.2160 | loss(pos) 0.0668 | loss(seq) 0.3909 | grad 3.6404 | lr 0.0000 | time_forward 1.3710 | time_backward 1.5280 |
[2023-10-25 16:15:39,302::train::INFO] [train] Iter 597764 | loss 0.5661 | loss(rot) 0.1871 | loss(pos) 0.0422 | loss(seq) 0.3367 | grad 3.0224 | lr 0.0000 | time_forward 4.3630 | time_backward 5.4970 |
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