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[2023-09-02 08:20:36,729::train::INFO] [train] Iter 07877 | loss 1.9263 | loss(rot) 0.9386 | loss(pos) 0.4275 | loss(seq) 0.5603 | grad 3.5893 | lr 0.0010 | time_forward 1.0570 | time_backward 1.2070 |
[2023-09-02 08:20:44,682::train::INFO] [train] Iter 07878 | loss 0.5343 | loss(rot) 0.1099 | loss(pos) 0.3801 | loss(seq) 0.0444 | grad 4.1042 | lr 0.0010 | time_forward 3.3640 | time_backward 4.5860 |
[2023-09-02 08:20:54,704::train::INFO] [train] Iter 07879 | loss 2.1188 | loss(rot) 1.8065 | loss(pos) 0.2846 | loss(seq) 0.0278 | grad 4.1892 | lr 0.0010 | time_forward 4.1800 | time_backward 5.8380 |
[2023-09-02 08:21:03,541::train::INFO] [train] Iter 07880 | loss 1.5334 | loss(rot) 0.8602 | loss(pos) 0.1725 | loss(seq) 0.5006 | grad 5.9837 | lr 0.0010 | time_forward 3.8070 | time_backward 5.0260 |
[2023-09-02 08:21:13,416::train::INFO] [train] Iter 07881 | loss 2.5437 | loss(rot) 2.0350 | loss(pos) 0.1558 | loss(seq) 0.3528 | grad 4.1818 | lr 0.0010 | time_forward 4.0650 | time_backward 5.8070 |
[2023-09-02 08:21:16,295::train::INFO] [train] Iter 07882 | loss 1.6240 | loss(rot) 0.9181 | loss(pos) 0.1992 | loss(seq) 0.5067 | grad 6.8811 | lr 0.0010 | time_forward 1.3560 | time_backward 1.5190 |
[2023-09-02 08:21:26,437::train::INFO] [train] Iter 07883 | loss 1.4032 | loss(rot) 0.3884 | loss(pos) 0.4640 | loss(seq) 0.5508 | grad 3.3680 | lr 0.0010 | time_forward 4.1430 | time_backward 5.9960 |
[2023-09-02 08:21:35,180::train::INFO] [train] Iter 07884 | loss 2.1435 | loss(rot) 1.2304 | loss(pos) 0.2436 | loss(seq) 0.6694 | grad 5.0196 | lr 0.0010 | time_forward 3.7160 | time_backward 5.0230 |
[2023-09-02 08:21:44,506::train::INFO] [train] Iter 07885 | loss 2.0057 | loss(rot) 1.0136 | loss(pos) 0.5097 | loss(seq) 0.4825 | grad 4.1204 | lr 0.0010 | time_forward 3.8920 | time_backward 5.4300 |
[2023-09-02 08:21:54,412::train::INFO] [train] Iter 07886 | loss 2.1842 | loss(rot) 1.0688 | loss(pos) 0.6080 | loss(seq) 0.5073 | grad 4.2401 | lr 0.0010 | time_forward 4.1640 | time_backward 5.7390 |
[2023-09-02 08:22:04,298::train::INFO] [train] Iter 07887 | loss 2.2338 | loss(rot) 2.1204 | loss(pos) 0.1131 | loss(seq) 0.0003 | grad 4.5343 | lr 0.0010 | time_forward 4.0550 | time_backward 5.8270 |
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