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[2023-10-23 05:01:38,678::train::INFO] [train] Iter 566585 | loss 0.2100 | loss(rot) 0.1839 | loss(pos) 0.0255 | loss(seq) 0.0006 | grad 2.2345 | lr 0.0000 | time_forward 2.9380 | time_backward 3.9410 |
[2023-10-23 05:01:46,789::train::INFO] [train] Iter 566586 | loss 2.0639 | loss(rot) 1.5964 | loss(pos) 0.1104 | loss(seq) 0.3572 | grad 3.0606 | lr 0.0000 | time_forward 3.3250 | time_backward 4.7820 |
[2023-10-23 05:01:52,245::train::INFO] [train] Iter 566587 | loss 0.7663 | loss(rot) 0.4324 | loss(pos) 0.0569 | loss(seq) 0.2770 | grad 3.5601 | lr 0.0000 | time_forward 2.3190 | time_backward 3.1340 |
[2023-10-23 05:01:59,057::train::INFO] [train] Iter 566588 | loss 0.4788 | loss(rot) 0.0542 | loss(pos) 0.4223 | loss(seq) 0.0023 | grad 10.2623 | lr 0.0000 | time_forward 2.9100 | time_backward 3.8890 |
[2023-10-23 05:02:02,100::train::INFO] [train] Iter 566589 | loss 1.4929 | loss(rot) 1.0726 | loss(pos) 0.1445 | loss(seq) 0.2758 | grad 7.7385 | lr 0.0000 | time_forward 1.3880 | time_backward 1.6510 |
[2023-10-23 05:02:10,088::train::INFO] [train] Iter 566590 | loss 0.4120 | loss(rot) 0.2823 | loss(pos) 0.0205 | loss(seq) 0.1093 | grad 3.1299 | lr 0.0000 | time_forward 3.2910 | time_backward 4.6860 |
[2023-10-23 05:02:17,216::train::INFO] [train] Iter 566591 | loss 1.5520 | loss(rot) 1.4722 | loss(pos) 0.0278 | loss(seq) 0.0520 | grad 8.5024 | lr 0.0000 | time_forward 3.0760 | time_backward 4.0480 |
[2023-10-23 05:02:19,456::train::INFO] [train] Iter 566592 | loss 0.4336 | loss(rot) 0.0318 | loss(pos) 0.3991 | loss(seq) 0.0028 | grad 6.5635 | lr 0.0000 | time_forward 1.0240 | time_backward 1.2120 |
[2023-10-23 05:02:26,237::train::INFO] [train] Iter 566593 | loss 0.5419 | loss(rot) 0.0559 | loss(pos) 0.2321 | loss(seq) 0.2539 | grad 5.5487 | lr 0.0000 | time_forward 2.9400 | time_backward 3.8380 |
[2023-10-23 05:02:28,865::train::INFO] [train] Iter 566594 | loss 0.5745 | loss(rot) 0.4993 | loss(pos) 0.0439 | loss(seq) 0.0313 | grad 2.5192 | lr 0.0000 | time_forward 1.2210 | time_backward 1.4050 |
[2023-10-23 05:02:36,757::train::INFO] [train] Iter 566595 | loss 0.5486 | loss(rot) 0.1953 | loss(pos) 0.0249 | loss(seq) 0.3283 | grad 3.0436 | lr 0.0000 | time_forward 3.3100 | time_backward 4.5800 |
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