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[2023-09-02 03:30:25,476::train::INFO] [train] Iter 05479 | loss 2.5251 | loss(rot) 2.3843 | loss(pos) 0.1334 | loss(seq) 0.0074 | grad 3.2045 | lr 0.0010 | time_forward 4.1450 | time_backward 5.8940 |
[2023-09-02 03:30:35,447::train::INFO] [train] Iter 05480 | loss 2.5572 | loss(rot) 1.9268 | loss(pos) 0.2728 | loss(seq) 0.3577 | grad 3.5447 | lr 0.0010 | time_forward 4.0910 | time_backward 5.8620 |
[2023-09-02 03:30:42,974::train::INFO] [train] Iter 05481 | loss 1.5945 | loss(rot) 1.0275 | loss(pos) 0.2188 | loss(seq) 0.3482 | grad 4.7048 | lr 0.0010 | time_forward 3.1770 | time_backward 4.3480 |
[2023-09-02 03:30:52,226::train::INFO] [train] Iter 05482 | loss 2.3908 | loss(rot) 1.6336 | loss(pos) 0.2787 | loss(seq) 0.4785 | grad 6.2032 | lr 0.0010 | time_forward 3.9000 | time_backward 5.3490 |
[2023-09-02 03:30:59,707::train::INFO] [train] Iter 05483 | loss 1.8997 | loss(rot) 0.5990 | loss(pos) 0.5252 | loss(seq) 0.7755 | grad 4.5344 | lr 0.0010 | time_forward 3.1440 | time_backward 4.3340 |
[2023-09-02 03:31:09,031::train::INFO] [train] Iter 05484 | loss 1.8506 | loss(rot) 0.9065 | loss(pos) 0.6012 | loss(seq) 0.3428 | grad 5.0523 | lr 0.0010 | time_forward 3.9060 | time_backward 5.4130 |
[2023-09-02 03:31:18,141::train::INFO] [train] Iter 05485 | loss 2.0751 | loss(rot) 0.0397 | loss(pos) 2.0322 | loss(seq) 0.0032 | grad 8.4216 | lr 0.0010 | time_forward 3.7970 | time_backward 5.3100 |
[2023-09-02 03:31:28,160::train::INFO] [train] Iter 05486 | loss 1.6021 | loss(rot) 0.7139 | loss(pos) 0.6115 | loss(seq) 0.2767 | grad 6.0828 | lr 0.0010 | time_forward 4.0570 | time_backward 5.9590 |
[2023-09-02 03:31:31,002::train::INFO] [train] Iter 05487 | loss 2.1495 | loss(rot) 1.3181 | loss(pos) 0.4115 | loss(seq) 0.4199 | grad 4.5415 | lr 0.0010 | time_forward 1.3300 | time_backward 1.5090 |
[2023-09-02 03:31:33,900::train::INFO] [train] Iter 05488 | loss 0.9107 | loss(rot) 0.2274 | loss(pos) 0.6347 | loss(seq) 0.0486 | grad 4.9661 | lr 0.0010 | time_forward 1.3490 | time_backward 1.5450 |
[2023-09-02 03:31:37,303::train::INFO] [train] Iter 05489 | loss 2.5508 | loss(rot) 2.2604 | loss(pos) 0.2792 | loss(seq) 0.0112 | grad 5.3373 | lr 0.0010 | time_forward 1.4510 | time_backward 1.9500 |
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