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[2023-09-02 19:16:46,461::train::INFO] [train] Iter 13372 | loss 1.5898 | loss(rot) 0.3564 | loss(pos) 0.5955 | loss(seq) 0.6380 | grad 4.0712 | lr 0.0010 | time_forward 1.4670 | time_backward 1.5900 |
[2023-09-02 19:16:54,884::train::INFO] [train] Iter 13373 | loss 1.0644 | loss(rot) 0.6188 | loss(pos) 0.1767 | loss(seq) 0.2689 | grad 3.6665 | lr 0.0010 | time_forward 3.5780 | time_backward 4.8410 |
[2023-09-02 19:16:57,669::train::INFO] [train] Iter 13374 | loss 1.1434 | loss(rot) 0.9769 | loss(pos) 0.1654 | loss(seq) 0.0012 | grad 5.6839 | lr 0.0010 | time_forward 1.2760 | time_backward 1.5050 |
[2023-09-02 19:17:07,890::train::INFO] [train] Iter 13375 | loss 2.9096 | loss(rot) 2.7809 | loss(pos) 0.1257 | loss(seq) 0.0031 | grad 2.8788 | lr 0.0010 | time_forward 4.1660 | time_backward 6.0510 |
[2023-09-02 19:17:11,293::train::INFO] [train] Iter 13376 | loss 2.3869 | loss(rot) 1.4932 | loss(pos) 0.4199 | loss(seq) 0.4738 | grad 4.0474 | lr 0.0010 | time_forward 1.4730 | time_backward 1.9270 |
[2023-09-02 19:17:21,592::train::INFO] [train] Iter 13377 | loss 1.5871 | loss(rot) 1.4453 | loss(pos) 0.1405 | loss(seq) 0.0013 | grad 5.6636 | lr 0.0010 | time_forward 4.1650 | time_backward 6.1180 |
[2023-09-02 19:17:31,838::train::INFO] [train] Iter 13378 | loss 1.7802 | loss(rot) 1.5592 | loss(pos) 0.2210 | loss(seq) 0.0000 | grad 4.2881 | lr 0.0010 | time_forward 4.3190 | time_backward 5.9240 |
[2023-09-02 19:17:41,959::train::INFO] [train] Iter 13379 | loss 1.6084 | loss(rot) 0.6896 | loss(pos) 0.3582 | loss(seq) 0.5605 | grad 4.7369 | lr 0.0010 | time_forward 4.0590 | time_backward 6.0590 |
[2023-09-02 19:17:44,801::train::INFO] [train] Iter 13380 | loss 1.4581 | loss(rot) 0.5730 | loss(pos) 0.6101 | loss(seq) 0.2749 | grad 5.1925 | lr 0.0010 | time_forward 1.2790 | time_backward 1.5600 |
[2023-09-02 19:17:54,864::train::INFO] [train] Iter 13381 | loss 2.0066 | loss(rot) 1.6367 | loss(pos) 0.1996 | loss(seq) 0.1703 | grad 4.1295 | lr 0.0010 | time_forward 4.1720 | time_backward 5.8870 |
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