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[2023-10-24 09:02:17,440::train::INFO] [train] Iter 581470 | loss 0.8029 | loss(rot) 0.0580 | loss(pos) 0.3676 | loss(seq) 0.3772 | grad 7.1845 | lr 0.0000 | time_forward 5.0040 | time_backward 5.8220 |
[2023-10-24 09:02:27,363::train::INFO] [train] Iter 581471 | loss 1.1596 | loss(rot) 0.5665 | loss(pos) 0.2096 | loss(seq) 0.3835 | grad 3.7445 | lr 0.0000 | time_forward 5.1470 | time_backward 4.7720 |
[2023-10-24 09:02:37,333::train::INFO] [train] Iter 581472 | loss 1.4879 | loss(rot) 1.2435 | loss(pos) 0.0373 | loss(seq) 0.2070 | grad 13.3325 | lr 0.0000 | time_forward 5.2170 | time_backward 4.7500 |
[2023-10-24 09:02:49,070::train::INFO] [train] Iter 581473 | loss 1.3582 | loss(rot) 1.1188 | loss(pos) 0.0483 | loss(seq) 0.1912 | grad 2.8908 | lr 0.0000 | time_forward 5.9830 | time_backward 5.7510 |
[2023-10-24 09:02:57,811::train::INFO] [train] Iter 581474 | loss 0.2319 | loss(rot) 0.0395 | loss(pos) 0.1864 | loss(seq) 0.0059 | grad 5.7369 | lr 0.0000 | time_forward 4.0400 | time_backward 4.6970 |
[2023-10-24 09:03:06,829::train::INFO] [train] Iter 581475 | loss 1.1017 | loss(rot) 0.8664 | loss(pos) 0.0421 | loss(seq) 0.1932 | grad 3.4897 | lr 0.0000 | time_forward 4.4160 | time_backward 4.5990 |
[2023-10-24 09:03:18,766::train::INFO] [train] Iter 581476 | loss 0.5140 | loss(rot) 0.2761 | loss(pos) 0.1850 | loss(seq) 0.0530 | grad 4.9877 | lr 0.0000 | time_forward 5.7060 | time_backward 6.2270 |
[2023-10-24 09:03:30,154::train::INFO] [train] Iter 581477 | loss 1.5465 | loss(rot) 0.5929 | loss(pos) 0.6465 | loss(seq) 0.3071 | grad 4.7888 | lr 0.0000 | time_forward 5.6050 | time_backward 5.7800 |
[2023-10-24 09:03:32,928::train::INFO] [train] Iter 581478 | loss 1.3782 | loss(rot) 0.7284 | loss(pos) 0.1860 | loss(seq) 0.4638 | grad 5.1242 | lr 0.0000 | time_forward 1.3440 | time_backward 1.4270 |
[2023-10-24 09:03:35,843::train::INFO] [train] Iter 581479 | loss 0.1800 | loss(rot) 0.1406 | loss(pos) 0.0295 | loss(seq) 0.0099 | grad 1.5371 | lr 0.0000 | time_forward 1.3390 | time_backward 1.5210 |
[2023-10-24 09:03:39,226::train::INFO] [train] Iter 581480 | loss 2.0161 | loss(rot) 1.7821 | loss(pos) 0.1628 | loss(seq) 0.0712 | grad 4.7176 | lr 0.0000 | time_forward 1.5630 | time_backward 1.8160 |
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