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[2023-10-23 03:13:17,240::train::INFO] [train] Iter 565486 | loss 1.3267 | loss(rot) 0.8650 | loss(pos) 0.0658 | loss(seq) 0.3959 | grad 4.6903 | lr 0.0000 | time_forward 3.3990 | time_backward 4.6530 |
[2023-10-23 03:13:23,795::train::INFO] [train] Iter 565487 | loss 0.4388 | loss(rot) 0.0753 | loss(pos) 0.1023 | loss(seq) 0.2612 | grad 3.8085 | lr 0.0000 | time_forward 2.8150 | time_backward 3.7360 |
[2023-10-23 03:13:30,655::train::INFO] [train] Iter 565488 | loss 0.3063 | loss(rot) 0.1417 | loss(pos) 0.0460 | loss(seq) 0.1186 | grad 3.0343 | lr 0.0000 | time_forward 2.9570 | time_backward 3.9000 |
[2023-10-23 03:13:37,614::train::INFO] [train] Iter 565489 | loss 0.2430 | loss(rot) 0.1428 | loss(pos) 0.0860 | loss(seq) 0.0143 | grad 3.7518 | lr 0.0000 | time_forward 3.0400 | time_backward 3.9160 |
[2023-10-23 03:13:40,437::train::INFO] [train] Iter 565490 | loss 0.2533 | loss(rot) 0.0422 | loss(pos) 0.0831 | loss(seq) 0.1280 | grad 2.7409 | lr 0.0000 | time_forward 1.2930 | time_backward 1.5270 |
[2023-10-23 03:13:47,240::train::INFO] [train] Iter 565491 | loss 4.6154 | loss(rot) 0.0035 | loss(pos) 4.6119 | loss(seq) 0.0000 | grad 23.8194 | lr 0.0000 | time_forward 2.8880 | time_backward 3.9090 |
[2023-10-23 03:13:55,102::train::INFO] [train] Iter 565492 | loss 0.6530 | loss(rot) 0.4683 | loss(pos) 0.0425 | loss(seq) 0.1423 | grad 3.7349 | lr 0.0000 | time_forward 3.2810 | time_backward 4.5780 |
[2023-10-23 03:14:01,795::train::INFO] [train] Iter 565493 | loss 0.3762 | loss(rot) 0.1646 | loss(pos) 0.0427 | loss(seq) 0.1689 | grad 3.0796 | lr 0.0000 | time_forward 2.8780 | time_backward 3.8120 |
[2023-10-23 03:14:09,611::train::INFO] [train] Iter 565494 | loss 0.6024 | loss(rot) 0.2406 | loss(pos) 0.1061 | loss(seq) 0.2557 | grad 3.3264 | lr 0.0000 | time_forward 3.3850 | time_backward 4.4280 |
[2023-10-23 03:14:15,145::train::INFO] [train] Iter 565495 | loss 0.9205 | loss(rot) 0.8148 | loss(pos) 0.0515 | loss(seq) 0.0543 | grad 3.5374 | lr 0.0000 | time_forward 2.3650 | time_backward 3.1650 |
[2023-10-23 03:14:22,587::train::INFO] [train] Iter 565496 | loss 0.9999 | loss(rot) 0.6403 | loss(pos) 0.1109 | loss(seq) 0.2487 | grad 4.3999 | lr 0.0000 | time_forward 3.1410 | time_backward 4.2870 |
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