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[2023-10-24 17:51:10,508::train::INFO] [train] Iter 586065 | loss 0.3436 | loss(rot) 0.1881 | loss(pos) 0.1197 | loss(seq) 0.0358 | grad 2.9304 | lr 0.0000 | time_forward 3.2820 | time_backward 4.2080 |
[2023-10-24 17:51:18,589::train::INFO] [train] Iter 586066 | loss 0.7621 | loss(rot) 0.6869 | loss(pos) 0.0746 | loss(seq) 0.0006 | grad 9.1471 | lr 0.0000 | time_forward 3.3450 | time_backward 4.7330 |
[2023-10-24 17:51:26,592::train::INFO] [train] Iter 586067 | loss 0.9605 | loss(rot) 0.7213 | loss(pos) 0.0653 | loss(seq) 0.1740 | grad 3.0244 | lr 0.0000 | time_forward 3.4640 | time_backward 4.5350 |
[2023-10-24 17:51:33,484::train::INFO] [train] Iter 586068 | loss 0.9619 | loss(rot) 0.1051 | loss(pos) 0.3796 | loss(seq) 0.4772 | grad 6.1901 | lr 0.0000 | time_forward 3.0000 | time_backward 3.8890 |
[2023-10-24 17:51:36,599::train::INFO] [train] Iter 586069 | loss 0.6523 | loss(rot) 0.5940 | loss(pos) 0.0583 | loss(seq) 0.0000 | grad 2.4955 | lr 0.0000 | time_forward 1.4380 | time_backward 1.6740 |
[2023-10-24 17:51:43,814::train::INFO] [train] Iter 586070 | loss 0.1779 | loss(rot) 0.0953 | loss(pos) 0.0418 | loss(seq) 0.0408 | grad 2.1874 | lr 0.0000 | time_forward 3.1350 | time_backward 4.0660 |
[2023-10-24 17:51:51,001::train::INFO] [train] Iter 586071 | loss 1.0345 | loss(rot) 0.6007 | loss(pos) 0.0462 | loss(seq) 0.3876 | grad 4.3236 | lr 0.0000 | time_forward 3.1200 | time_backward 4.0640 |
[2023-10-24 17:51:57,924::train::INFO] [train] Iter 586072 | loss 1.9253 | loss(rot) 1.0662 | loss(pos) 0.3215 | loss(seq) 0.5376 | grad 4.5150 | lr 0.0000 | time_forward 2.9850 | time_backward 3.9360 |
[2023-10-24 17:52:00,367::train::INFO] [train] Iter 586073 | loss 0.4327 | loss(rot) 0.1751 | loss(pos) 0.0236 | loss(seq) 0.2340 | grad 2.4920 | lr 0.0000 | time_forward 1.2020 | time_backward 1.2380 |
[2023-10-24 17:52:08,576::train::INFO] [train] Iter 586074 | loss 2.8937 | loss(rot) 0.0009 | loss(pos) 2.8928 | loss(seq) 0.0000 | grad 32.3042 | lr 0.0000 | time_forward 3.4010 | time_backward 4.7500 |
[2023-10-24 17:52:16,153::train::INFO] [train] Iter 586075 | loss 0.1532 | loss(rot) 0.0573 | loss(pos) 0.0113 | loss(seq) 0.0846 | grad 1.6185 | lr 0.0000 | time_forward 3.2680 | time_backward 4.3060 |
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