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[2023-10-24 14:05:59,093::train::INFO] [train] Iter 583969 | loss 1.1826 | loss(rot) 0.2828 | loss(pos) 0.4316 | loss(seq) 0.4682 | grad 5.3281 | lr 0.0000 | time_forward 1.2950 | time_backward 1.4450 |
[2023-10-24 14:06:07,267::train::INFO] [train] Iter 583970 | loss 0.3182 | loss(rot) 0.0793 | loss(pos) 0.2037 | loss(seq) 0.0352 | grad 4.2594 | lr 0.0000 | time_forward 3.4440 | time_backward 4.7280 |
[2023-10-24 14:06:15,515::train::INFO] [train] Iter 583971 | loss 0.6915 | loss(rot) 0.2304 | loss(pos) 0.1637 | loss(seq) 0.2974 | grad 4.4722 | lr 0.0000 | time_forward 3.4760 | time_backward 4.7690 |
[2023-10-24 14:06:23,987::train::INFO] [train] Iter 583972 | loss 0.7182 | loss(rot) 0.3796 | loss(pos) 0.0420 | loss(seq) 0.2966 | grad 6.1341 | lr 0.0000 | time_forward 3.5930 | time_backward 4.8750 |
[2023-10-24 14:06:32,018::train::INFO] [train] Iter 583973 | loss 0.6104 | loss(rot) 0.2526 | loss(pos) 0.0232 | loss(seq) 0.3346 | grad 31.7904 | lr 0.0000 | time_forward 3.3640 | time_backward 4.6650 |
[2023-10-24 14:06:34,826::train::INFO] [train] Iter 583974 | loss 0.1915 | loss(rot) 0.0924 | loss(pos) 0.0908 | loss(seq) 0.0083 | grad 3.7100 | lr 0.0000 | time_forward 1.3400 | time_backward 1.4640 |
[2023-10-24 14:06:43,288::train::INFO] [train] Iter 583975 | loss 0.4529 | loss(rot) 0.2060 | loss(pos) 0.2087 | loss(seq) 0.0382 | grad 4.6541 | lr 0.0000 | time_forward 3.5280 | time_backward 4.8990 |
[2023-10-24 14:06:51,643::train::INFO] [train] Iter 583976 | loss 0.1745 | loss(rot) 0.0593 | loss(pos) 0.0726 | loss(seq) 0.0426 | grad 2.9830 | lr 0.0000 | time_forward 3.5100 | time_backward 4.8410 |
[2023-10-24 14:06:54,441::train::INFO] [train] Iter 583977 | loss 0.4602 | loss(rot) 0.1462 | loss(pos) 0.0786 | loss(seq) 0.2354 | grad 2.3852 | lr 0.0000 | time_forward 1.3210 | time_backward 1.4740 |
[2023-10-24 14:07:02,762::train::INFO] [train] Iter 583978 | loss 2.2848 | loss(rot) 2.0098 | loss(pos) 0.1021 | loss(seq) 0.1729 | grad 4.0068 | lr 0.0000 | time_forward 3.5190 | time_backward 4.8000 |
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