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[2023-09-02 07:09:06,383::train::INFO] [train] Iter 07277 | loss 2.6481 | loss(rot) 2.4126 | loss(pos) 0.2349 | loss(seq) 0.0007 | grad 4.6849 | lr 0.0010 | time_forward 4.3600 | time_backward 6.7660 |
[2023-09-02 07:09:17,894::train::INFO] [train] Iter 07278 | loss 1.4321 | loss(rot) 0.1141 | loss(pos) 1.3006 | loss(seq) 0.0174 | grad 5.9486 | lr 0.0010 | time_forward 4.6210 | time_backward 6.8880 |
[2023-09-02 07:09:29,381::train::INFO] [train] Iter 07279 | loss 1.2805 | loss(rot) 0.2602 | loss(pos) 0.6584 | loss(seq) 0.3619 | grad 5.7108 | lr 0.0010 | time_forward 5.4490 | time_backward 6.0340 |
[2023-09-02 07:09:38,852::train::INFO] [train] Iter 07280 | loss 2.3838 | loss(rot) 2.1981 | loss(pos) 0.1013 | loss(seq) 0.0844 | grad 3.1947 | lr 0.0010 | time_forward 3.8130 | time_backward 5.6540 |
[2023-09-02 07:09:46,813::train::INFO] [train] Iter 07281 | loss 3.4779 | loss(rot) 0.0334 | loss(pos) 3.4440 | loss(seq) 0.0005 | grad 8.5895 | lr 0.0010 | time_forward 3.2880 | time_backward 4.6710 |
[2023-09-02 07:09:55,520::train::INFO] [train] Iter 07282 | loss 1.0158 | loss(rot) 0.1372 | loss(pos) 0.8578 | loss(seq) 0.0208 | grad 5.8913 | lr 0.0010 | time_forward 3.6490 | time_backward 5.0520 |
[2023-09-02 07:10:03,610::train::INFO] [train] Iter 07283 | loss 1.9858 | loss(rot) 1.2960 | loss(pos) 0.4608 | loss(seq) 0.2290 | grad 4.8665 | lr 0.0010 | time_forward 3.3720 | time_backward 4.7140 |
[2023-09-02 07:10:06,523::train::INFO] [train] Iter 07284 | loss 0.8836 | loss(rot) 0.2280 | loss(pos) 0.3920 | loss(seq) 0.2637 | grad 3.7832 | lr 0.0010 | time_forward 1.4080 | time_backward 1.5010 |
[2023-09-02 07:10:15,176::train::INFO] [train] Iter 07285 | loss 2.1287 | loss(rot) 1.9143 | loss(pos) 0.1395 | loss(seq) 0.0748 | grad 4.8775 | lr 0.0010 | time_forward 3.6000 | time_backward 5.0500 |
[2023-09-02 07:10:23,724::train::INFO] [train] Iter 07286 | loss 2.5093 | loss(rot) 1.6079 | loss(pos) 0.4107 | loss(seq) 0.4908 | grad 5.0572 | lr 0.0010 | time_forward 3.4740 | time_backward 5.0710 |
[2023-09-02 07:10:32,745::train::INFO] [train] Iter 07287 | loss 2.0879 | loss(rot) 1.2844 | loss(pos) 0.2675 | loss(seq) 0.5360 | grad 5.2376 | lr 0.0010 | time_forward 3.7300 | time_backward 5.2870 |
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