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[2023-10-23 00:01:21,924::train::INFO] [train] Iter 563589 | loss 0.3127 | loss(rot) 0.0791 | loss(pos) 0.0449 | loss(seq) 0.1887 | grad 2.4319 | lr 0.0000 | time_forward 3.3300 | time_backward 4.4320 |
[2023-10-23 00:01:29,143::train::INFO] [train] Iter 563590 | loss 0.5174 | loss(rot) 0.2910 | loss(pos) 0.1708 | loss(seq) 0.0555 | grad 4.9966 | lr 0.0000 | time_forward 3.1240 | time_backward 4.0920 |
[2023-10-23 00:01:36,315::train::INFO] [train] Iter 563591 | loss 1.5913 | loss(rot) 1.3735 | loss(pos) 0.0411 | loss(seq) 0.1768 | grad 4.4222 | lr 0.0000 | time_forward 3.1260 | time_backward 4.0430 |
[2023-10-23 00:01:44,607::train::INFO] [train] Iter 563592 | loss 0.2485 | loss(rot) 0.0751 | loss(pos) 0.1467 | loss(seq) 0.0267 | grad 2.3150 | lr 0.0000 | time_forward 3.4390 | time_backward 4.8490 |
[2023-10-23 00:01:51,785::train::INFO] [train] Iter 563593 | loss 0.4557 | loss(rot) 0.1587 | loss(pos) 0.0441 | loss(seq) 0.2529 | grad 2.5217 | lr 0.0000 | time_forward 3.0840 | time_backward 4.0910 |
[2023-10-23 00:02:00,135::train::INFO] [train] Iter 563594 | loss 0.6965 | loss(rot) 0.4117 | loss(pos) 0.0556 | loss(seq) 0.2292 | grad 3.6406 | lr 0.0000 | time_forward 3.4790 | time_backward 4.8670 |
[2023-10-23 00:02:07,251::train::INFO] [train] Iter 563595 | loss 0.3461 | loss(rot) 0.0422 | loss(pos) 0.2969 | loss(seq) 0.0070 | grad 4.1782 | lr 0.0000 | time_forward 3.0500 | time_backward 4.0640 |
[2023-10-23 00:02:14,304::train::INFO] [train] Iter 563596 | loss 0.1834 | loss(rot) 0.1226 | loss(pos) 0.0243 | loss(seq) 0.0364 | grad 2.0854 | lr 0.0000 | time_forward 3.0870 | time_backward 3.9620 |
[2023-10-23 00:02:21,929::train::INFO] [train] Iter 563597 | loss 0.1136 | loss(rot) 0.0691 | loss(pos) 0.0400 | loss(seq) 0.0046 | grad 2.0910 | lr 0.0000 | time_forward 3.3360 | time_backward 4.2870 |
[2023-10-23 00:02:30,164::train::INFO] [train] Iter 563598 | loss 0.9546 | loss(rot) 0.4366 | loss(pos) 0.1213 | loss(seq) 0.3968 | grad 3.3138 | lr 0.0000 | time_forward 3.3820 | time_backward 4.8490 |
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