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[2023-09-02 18:16:30,752::train::INFO] [train] Iter 12872 | loss 1.7115 | loss(rot) 1.0684 | loss(pos) 0.2102 | loss(seq) 0.4330 | grad 4.6383 | lr 0.0010 | time_forward 1.2400 | time_backward 1.4090 |
[2023-09-02 18:16:39,762::train::INFO] [train] Iter 12873 | loss 0.6334 | loss(rot) 0.0864 | loss(pos) 0.5325 | loss(seq) 0.0145 | grad 5.1825 | lr 0.0010 | time_forward 3.9560 | time_backward 5.0240 |
[2023-09-02 18:16:49,308::train::INFO] [train] Iter 12874 | loss 2.1343 | loss(rot) 1.4305 | loss(pos) 0.2010 | loss(seq) 0.5028 | grad 4.6797 | lr 0.0010 | time_forward 3.5950 | time_backward 5.9490 |
[2023-09-02 18:16:59,191::train::INFO] [train] Iter 12875 | loss 0.7126 | loss(rot) 0.5994 | loss(pos) 0.0899 | loss(seq) 0.0233 | grad 5.4707 | lr 0.0010 | time_forward 4.0580 | time_backward 5.8220 |
[2023-09-02 18:17:07,766::train::INFO] [train] Iter 12876 | loss 2.2484 | loss(rot) 1.4252 | loss(pos) 0.2858 | loss(seq) 0.5373 | grad 3.2485 | lr 0.0010 | time_forward 3.6050 | time_backward 4.9670 |
[2023-09-02 18:17:18,164::train::INFO] [train] Iter 12877 | loss 1.0305 | loss(rot) 0.9030 | loss(pos) 0.0698 | loss(seq) 0.0577 | grad 3.8583 | lr 0.0010 | time_forward 4.1300 | time_backward 6.2060 |
[2023-09-02 18:17:28,038::train::INFO] [train] Iter 12878 | loss 0.7420 | loss(rot) 0.0669 | loss(pos) 0.6601 | loss(seq) 0.0151 | grad 4.2965 | lr 0.0010 | time_forward 4.0300 | time_backward 5.8420 |
[2023-09-02 18:17:33,752::train::INFO] [train] Iter 12879 | loss 1.1139 | loss(rot) 0.5012 | loss(pos) 0.1851 | loss(seq) 0.4277 | grad 4.1039 | lr 0.0010 | time_forward 2.4340 | time_backward 3.2590 |
[2023-09-02 18:17:42,182::train::INFO] [train] Iter 12880 | loss 1.6198 | loss(rot) 1.4219 | loss(pos) 0.0673 | loss(seq) 0.1306 | grad 4.4242 | lr 0.0010 | time_forward 3.4470 | time_backward 4.9780 |
[2023-09-02 18:17:50,979::train::INFO] [train] Iter 12881 | loss 2.3214 | loss(rot) 1.2697 | loss(pos) 0.3406 | loss(seq) 0.7111 | grad 5.0827 | lr 0.0010 | time_forward 3.5750 | time_backward 5.2180 |
[2023-09-02 18:18:00,974::train::INFO] [train] Iter 12882 | loss 1.1911 | loss(rot) 0.1165 | loss(pos) 0.8929 | loss(seq) 0.1817 | grad 5.3458 | lr 0.0010 | time_forward 4.0810 | time_backward 5.9110 |
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