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[2023-10-24 08:38:57,393::train::INFO] [train] Iter 581270 | loss 0.2454 | loss(rot) 0.0934 | loss(pos) 0.0325 | loss(seq) 0.1195 | grad 2.4576 | lr 0.0000 | time_forward 3.6210 | time_backward 4.8160 |
[2023-10-24 08:39:06,081::train::INFO] [train] Iter 581271 | loss 0.2822 | loss(rot) 0.1830 | loss(pos) 0.0198 | loss(seq) 0.0794 | grad 2.8693 | lr 0.0000 | time_forward 3.6410 | time_backward 5.0430 |
[2023-10-24 08:39:15,190::train::INFO] [train] Iter 581272 | loss 0.3505 | loss(rot) 0.1849 | loss(pos) 0.0535 | loss(seq) 0.1121 | grad 6.5671 | lr 0.0000 | time_forward 3.7870 | time_backward 5.3180 |
[2023-10-24 08:39:25,097::train::INFO] [train] Iter 581273 | loss 0.4712 | loss(rot) 0.4293 | loss(pos) 0.0286 | loss(seq) 0.0133 | grad 8.9397 | lr 0.0000 | time_forward 3.9700 | time_backward 5.9330 |
[2023-10-24 08:39:34,889::train::INFO] [train] Iter 581274 | loss 0.2442 | loss(rot) 0.0701 | loss(pos) 0.0763 | loss(seq) 0.0979 | grad 1.8043 | lr 0.0000 | time_forward 3.9890 | time_backward 5.7990 |
[2023-10-24 08:39:43,595::train::INFO] [train] Iter 581275 | loss 0.1340 | loss(rot) 0.0892 | loss(pos) 0.0113 | loss(seq) 0.0336 | grad 1.4623 | lr 0.0000 | time_forward 3.6240 | time_backward 5.0780 |
[2023-10-24 08:39:52,846::train::INFO] [train] Iter 581276 | loss 0.1483 | loss(rot) 0.0363 | loss(pos) 0.0965 | loss(seq) 0.0156 | grad 3.2328 | lr 0.0000 | time_forward 4.0980 | time_backward 5.1500 |
[2023-10-24 08:40:01,747::train::INFO] [train] Iter 581277 | loss 1.4919 | loss(rot) 0.1375 | loss(pos) 1.0857 | loss(seq) 0.2688 | grad 12.7053 | lr 0.0000 | time_forward 3.7670 | time_backward 5.1320 |
[2023-10-24 08:40:09,530::train::INFO] [train] Iter 581278 | loss 0.5438 | loss(rot) 0.2509 | loss(pos) 0.0275 | loss(seq) 0.2654 | grad 11.0299 | lr 0.0000 | time_forward 3.2000 | time_backward 4.5800 |
[2023-10-24 08:40:12,317::train::INFO] [train] Iter 581279 | loss 2.0452 | loss(rot) 2.0055 | loss(pos) 0.0397 | loss(seq) 0.0001 | grad 10.6458 | lr 0.0000 | time_forward 1.3420 | time_backward 1.4410 |
[2023-10-24 08:40:15,137::train::INFO] [train] Iter 581280 | loss 0.2362 | loss(rot) 0.0604 | loss(pos) 0.0174 | loss(seq) 0.1584 | grad 1.5037 | lr 0.0000 | time_forward 1.3530 | time_backward 1.4620 |
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