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[2023-10-23 12:40:25,462::train::INFO] [train] Iter 570881 | loss 0.5444 | loss(rot) 0.2447 | loss(pos) 0.0462 | loss(seq) 0.2535 | grad 2.8801 | lr 0.0000 | time_forward 3.3450 | time_backward 4.4280 |
[2023-10-23 12:40:28,172::train::INFO] [train] Iter 570882 | loss 1.3238 | loss(rot) 0.0036 | loss(pos) 1.3200 | loss(seq) 0.0003 | grad 11.5280 | lr 0.0000 | time_forward 1.2890 | time_backward 1.4150 |
[2023-10-23 12:40:30,908::train::INFO] [train] Iter 570883 | loss 0.3313 | loss(rot) 0.2850 | loss(pos) 0.0440 | loss(seq) 0.0023 | grad 11.4851 | lr 0.0000 | time_forward 1.3200 | time_backward 1.4130 |
[2023-10-23 12:40:38,782::train::INFO] [train] Iter 570884 | loss 1.0818 | loss(rot) 1.0214 | loss(pos) 0.0197 | loss(seq) 0.0406 | grad 5.4220 | lr 0.0000 | time_forward 3.4390 | time_backward 4.4310 |
[2023-10-23 12:40:41,011::train::INFO] [train] Iter 570885 | loss 4.5176 | loss(rot) 0.0166 | loss(pos) 4.5010 | loss(seq) 0.0000 | grad 25.2611 | lr 0.0000 | time_forward 1.0140 | time_backward 1.2120 |
[2023-10-23 12:40:43,869::train::INFO] [train] Iter 570886 | loss 0.7055 | loss(rot) 0.3912 | loss(pos) 0.0399 | loss(seq) 0.2744 | grad 2.6867 | lr 0.0000 | time_forward 1.3300 | time_backward 1.5240 |
[2023-10-23 12:40:51,848::train::INFO] [train] Iter 570887 | loss 0.5993 | loss(rot) 0.4241 | loss(pos) 0.0800 | loss(seq) 0.0952 | grad 6.2975 | lr 0.0000 | time_forward 3.4370 | time_backward 4.5380 |
[2023-10-23 12:41:00,370::train::INFO] [train] Iter 570888 | loss 0.4820 | loss(rot) 0.1561 | loss(pos) 0.2431 | loss(seq) 0.0827 | grad 2.7516 | lr 0.0000 | time_forward 3.7170 | time_backward 4.8000 |
[2023-10-23 12:41:03,240::train::INFO] [train] Iter 570889 | loss 1.7071 | loss(rot) 1.4403 | loss(pos) 0.1082 | loss(seq) 0.1586 | grad 4.8798 | lr 0.0000 | time_forward 1.3150 | time_backward 1.5510 |
[2023-10-23 12:41:10,578::train::INFO] [train] Iter 570890 | loss 0.3909 | loss(rot) 0.1263 | loss(pos) 0.0861 | loss(seq) 0.1784 | grad 3.7151 | lr 0.0000 | time_forward 3.1680 | time_backward 4.1670 |
[2023-10-23 12:41:18,965::train::INFO] [train] Iter 570891 | loss 0.4173 | loss(rot) 0.1845 | loss(pos) 0.0957 | loss(seq) 0.1371 | grad 3.3432 | lr 0.0000 | time_forward 3.4670 | time_backward 4.9160 |
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