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[2023-10-24 07:50:09,537::train::INFO] [train] Iter 580871 | loss 0.2335 | loss(rot) 0.0572 | loss(pos) 0.1739 | loss(seq) 0.0024 | grad 4.3347 | lr 0.0000 | time_forward 3.4050 | time_backward 4.7270 |
[2023-10-24 07:50:12,402::train::INFO] [train] Iter 580872 | loss 0.5187 | loss(rot) 0.1866 | loss(pos) 0.2451 | loss(seq) 0.0870 | grad 3.6652 | lr 0.0000 | time_forward 1.3390 | time_backward 1.5210 |
[2023-10-24 07:50:15,177::train::INFO] [train] Iter 580873 | loss 0.6667 | loss(rot) 0.5910 | loss(pos) 0.0321 | loss(seq) 0.0436 | grad 3.8944 | lr 0.0000 | time_forward 1.2680 | time_backward 1.5020 |
[2023-10-24 07:50:24,931::train::INFO] [train] Iter 580874 | loss 1.6839 | loss(rot) 1.5540 | loss(pos) 0.0390 | loss(seq) 0.0909 | grad 3.8580 | lr 0.0000 | time_forward 3.9130 | time_backward 5.8220 |
[2023-10-24 07:50:27,741::train::INFO] [train] Iter 580875 | loss 0.3574 | loss(rot) 0.0959 | loss(pos) 0.0964 | loss(seq) 0.1650 | grad 2.7072 | lr 0.0000 | time_forward 1.2980 | time_backward 1.5080 |
[2023-10-24 07:50:37,678::train::INFO] [train] Iter 580876 | loss 1.3594 | loss(rot) 0.6444 | loss(pos) 0.1606 | loss(seq) 0.5544 | grad 4.0220 | lr 0.0000 | time_forward 4.1140 | time_backward 5.8200 |
[2023-10-24 07:50:40,952::train::INFO] [train] Iter 580877 | loss 2.0159 | loss(rot) 1.4443 | loss(pos) 0.1772 | loss(seq) 0.3944 | grad 3.2161 | lr 0.0000 | time_forward 1.4520 | time_backward 1.8200 |
[2023-10-24 07:50:49,215::train::INFO] [train] Iter 580878 | loss 0.7128 | loss(rot) 0.1958 | loss(pos) 0.1035 | loss(seq) 0.4135 | grad 4.2943 | lr 0.0000 | time_forward 3.4530 | time_backward 4.7950 |
[2023-10-24 07:50:51,454::train::INFO] [train] Iter 580879 | loss 3.7427 | loss(rot) 0.0241 | loss(pos) 3.7186 | loss(seq) 0.0000 | grad 22.7415 | lr 0.0000 | time_forward 1.0360 | time_backward 1.1990 |
[2023-10-24 07:50:54,214::train::INFO] [train] Iter 580880 | loss 1.3736 | loss(rot) 1.2905 | loss(pos) 0.0824 | loss(seq) 0.0007 | grad 6.4546 | lr 0.0000 | time_forward 1.3340 | time_backward 1.4240 |
[2023-10-24 07:51:02,530::train::INFO] [train] Iter 580881 | loss 0.6653 | loss(rot) 0.1689 | loss(pos) 0.4337 | loss(seq) 0.0626 | grad 5.6205 | lr 0.0000 | time_forward 3.5350 | time_backward 4.7770 |
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