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[2023-09-01 20:22:49,253::train::INFO] [train] Iter 01984 | loss 3.2020 | loss(rot) 2.7977 | loss(pos) 0.4011 | loss(seq) 0.0032 | grad 3.5600 | lr 0.0010 | time_forward 4.1980 | time_backward 6.1320 |
[2023-09-01 20:22:51,996::train::INFO] [train] Iter 01985 | loss 3.1721 | loss(rot) 2.4707 | loss(pos) 0.3646 | loss(seq) 0.3369 | grad 5.8155 | lr 0.0010 | time_forward 1.2560 | time_backward 1.4830 |
[2023-09-01 20:23:01,531::train::INFO] [train] Iter 01986 | loss 2.5958 | loss(rot) 1.8136 | loss(pos) 0.2456 | loss(seq) 0.5366 | grad 3.0256 | lr 0.0010 | time_forward 3.9740 | time_backward 5.5140 |
[2023-09-01 20:23:09,260::train::INFO] [train] Iter 01987 | loss 2.4718 | loss(rot) 2.1341 | loss(pos) 0.2679 | loss(seq) 0.0698 | grad 3.9479 | lr 0.0010 | time_forward 3.3440 | time_backward 4.3810 |
[2023-09-01 20:23:17,809::train::INFO] [train] Iter 01988 | loss 3.0018 | loss(rot) 2.6178 | loss(pos) 0.1721 | loss(seq) 0.2118 | grad 3.0633 | lr 0.0010 | time_forward 3.5300 | time_backward 5.0150 |
[2023-09-01 20:23:28,059::train::INFO] [train] Iter 01989 | loss 3.0197 | loss(rot) 2.8559 | loss(pos) 0.1538 | loss(seq) 0.0101 | grad 1.9500 | lr 0.0010 | time_forward 4.0660 | time_backward 6.1810 |
[2023-09-01 20:23:31,024::train::INFO] [train] Iter 01990 | loss 0.7517 | loss(rot) 0.2299 | loss(pos) 0.4995 | loss(seq) 0.0223 | grad 3.3014 | lr 0.0010 | time_forward 1.4550 | time_backward 1.5060 |
[2023-09-01 20:23:40,305::train::INFO] [train] Iter 01991 | loss 2.5755 | loss(rot) 1.3378 | loss(pos) 0.7872 | loss(seq) 0.4506 | grad 4.9442 | lr 0.0010 | time_forward 3.9140 | time_backward 5.3640 |
[2023-09-01 20:23:50,442::train::INFO] [train] Iter 01992 | loss 2.8037 | loss(rot) 1.9468 | loss(pos) 0.3403 | loss(seq) 0.5165 | grad 2.8856 | lr 0.0010 | time_forward 4.0450 | time_backward 6.0890 |
[2023-09-01 20:24:00,622::train::INFO] [train] Iter 01993 | loss 3.2251 | loss(rot) 2.8544 | loss(pos) 0.2159 | loss(seq) 0.1548 | grad 4.5121 | lr 0.0010 | time_forward 4.0890 | time_backward 6.0870 |
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