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[2023-10-25 17:21:50,824::train::INFO] [train] Iter 598353 | loss 0.4258 | loss(rot) 0.3961 | loss(pos) 0.0297 | loss(seq) 0.0000 | grad 3.7234 | lr 0.0000 | time_forward 4.0960 | time_backward 6.3730 |
[2023-10-25 17:22:02,317::train::INFO] [train] Iter 598354 | loss 2.3426 | loss(rot) 2.0915 | loss(pos) 0.1005 | loss(seq) 0.1506 | grad 4.8222 | lr 0.0000 | time_forward 4.5280 | time_backward 6.9610 |
[2023-10-25 17:22:05,348::train::INFO] [train] Iter 598355 | loss 0.7055 | loss(rot) 0.5635 | loss(pos) 0.0288 | loss(seq) 0.1132 | grad 3.8158 | lr 0.0000 | time_forward 1.3840 | time_backward 1.6430 |
[2023-10-25 17:22:16,070::train::INFO] [train] Iter 598356 | loss 0.7090 | loss(rot) 0.2908 | loss(pos) 0.0882 | loss(seq) 0.3300 | grad 4.3955 | lr 0.0000 | time_forward 4.3510 | time_backward 6.3680 |
[2023-10-25 17:22:26,982::train::INFO] [train] Iter 598357 | loss 0.9848 | loss(rot) 0.0248 | loss(pos) 0.9570 | loss(seq) 0.0030 | grad 10.6920 | lr 0.0000 | time_forward 4.6320 | time_backward 6.2760 |
[2023-10-25 17:22:30,276::train::INFO] [train] Iter 598358 | loss 0.3653 | loss(rot) 0.2622 | loss(pos) 0.0175 | loss(seq) 0.0857 | grad 2.0872 | lr 0.0000 | time_forward 1.5790 | time_backward 1.7120 |
[2023-10-25 17:22:40,953::train::INFO] [train] Iter 598359 | loss 0.3726 | loss(rot) 0.1443 | loss(pos) 0.0546 | loss(seq) 0.1737 | grad 2.7400 | lr 0.0000 | time_forward 4.6180 | time_backward 5.9680 |
[2023-10-25 17:22:51,848::train::INFO] [train] Iter 598360 | loss 0.8580 | loss(rot) 0.6712 | loss(pos) 0.0176 | loss(seq) 0.1692 | grad 3.8820 | lr 0.0000 | time_forward 4.5960 | time_backward 6.2950 |
[2023-10-25 17:23:02,018::train::INFO] [train] Iter 598361 | loss 0.7970 | loss(rot) 0.4798 | loss(pos) 0.0214 | loss(seq) 0.2958 | grad 7.9482 | lr 0.0000 | time_forward 4.1450 | time_backward 6.0120 |
[2023-10-25 17:23:11,951::train::INFO] [train] Iter 598362 | loss 0.3367 | loss(rot) 0.1451 | loss(pos) 0.0389 | loss(seq) 0.1527 | grad 2.6076 | lr 0.0000 | time_forward 4.0270 | time_backward 5.9030 |
[2023-10-25 17:23:21,693::train::INFO] [train] Iter 598363 | loss 1.0099 | loss(rot) 0.9421 | loss(pos) 0.0359 | loss(seq) 0.0319 | grad 4.7773 | lr 0.0000 | time_forward 3.8260 | time_backward 5.9110 |
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