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[2023-09-01 22:25:46,937::train::INFO] [train] Iter 02982 | loss 2.2327 | loss(rot) 1.5566 | loss(pos) 0.2636 | loss(seq) 0.4126 | grad 5.3710 | lr 0.0010 | time_forward 1.3310 | time_backward 1.4440 |
[2023-09-01 22:25:55,971::train::INFO] [train] Iter 02983 | loss 2.1887 | loss(rot) 0.1583 | loss(pos) 2.0159 | loss(seq) 0.0145 | grad 8.1204 | lr 0.0010 | time_forward 3.8760 | time_backward 5.1540 |
[2023-09-01 22:26:06,295::train::INFO] [train] Iter 02984 | loss 1.3823 | loss(rot) 0.2760 | loss(pos) 0.6219 | loss(seq) 0.4845 | grad 5.0026 | lr 0.0010 | time_forward 4.1760 | time_backward 6.1450 |
[2023-09-01 22:26:16,332::train::INFO] [train] Iter 02985 | loss 2.9014 | loss(rot) 0.2163 | loss(pos) 2.6831 | loss(seq) 0.0020 | grad 5.4914 | lr 0.0010 | time_forward 4.1830 | time_backward 5.8500 |
[2023-09-01 22:26:24,426::train::INFO] [train] Iter 02986 | loss 1.8878 | loss(rot) 1.2405 | loss(pos) 0.1953 | loss(seq) 0.4520 | grad 3.8361 | lr 0.0010 | time_forward 3.2910 | time_backward 4.7990 |
[2023-09-01 22:26:27,237::train::INFO] [train] Iter 02987 | loss 2.8342 | loss(rot) 2.4223 | loss(pos) 0.1303 | loss(seq) 0.2816 | grad 3.4452 | lr 0.0010 | time_forward 1.2950 | time_backward 1.5130 |
[2023-09-01 22:26:37,239::train::INFO] [train] Iter 02988 | loss 2.0984 | loss(rot) 1.3723 | loss(pos) 0.2300 | loss(seq) 0.4961 | grad 3.6673 | lr 0.0010 | time_forward 4.1010 | time_backward 5.8940 |
[2023-09-01 22:26:39,969::train::INFO] [train] Iter 02989 | loss 1.4863 | loss(rot) 0.5561 | loss(pos) 0.6603 | loss(seq) 0.2700 | grad 5.1234 | lr 0.0010 | time_forward 1.2540 | time_backward 1.4730 |
[2023-09-01 22:26:48,462::train::INFO] [train] Iter 02990 | loss 2.4505 | loss(rot) 1.5003 | loss(pos) 0.5655 | loss(seq) 0.3847 | grad 6.4224 | lr 0.0010 | time_forward 3.5610 | time_backward 4.9280 |
[2023-09-01 22:26:59,001::train::INFO] [train] Iter 02991 | loss 2.9293 | loss(rot) 2.3136 | loss(pos) 0.3717 | loss(seq) 0.2440 | grad 3.7776 | lr 0.0010 | time_forward 4.3390 | time_backward 6.1960 |
[2023-09-01 22:27:07,178::train::INFO] [train] Iter 02992 | loss 2.7557 | loss(rot) 2.1178 | loss(pos) 0.2676 | loss(seq) 0.3704 | grad 4.3995 | lr 0.0010 | time_forward 3.5890 | time_backward 4.5840 |
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