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[2023-10-25 07:06:10,821::train::INFO] [train] Iter 593058 | loss 1.0756 | loss(rot) 0.4682 | loss(pos) 0.3032 | loss(seq) 0.3041 | grad 4.7406 | lr 0.0000 | time_forward 3.6220 | time_backward 5.1940 |
[2023-10-25 07:06:13,389::train::INFO] [train] Iter 593059 | loss 0.3644 | loss(rot) 0.1640 | loss(pos) 0.1062 | loss(seq) 0.0942 | grad 3.4207 | lr 0.0000 | time_forward 1.1870 | time_backward 1.3770 |
[2023-10-25 07:06:21,456::train::INFO] [train] Iter 593060 | loss 1.8067 | loss(rot) 1.3430 | loss(pos) 0.1007 | loss(seq) 0.3630 | grad 4.6276 | lr 0.0000 | time_forward 3.4540 | time_backward 4.5870 |
[2023-10-25 07:06:24,330::train::INFO] [train] Iter 593061 | loss 0.3675 | loss(rot) 0.0805 | loss(pos) 0.0314 | loss(seq) 0.2556 | grad 1.9134 | lr 0.0000 | time_forward 1.3060 | time_backward 1.5660 |
[2023-10-25 07:06:27,044::train::INFO] [train] Iter 593062 | loss 0.2651 | loss(rot) 0.0466 | loss(pos) 0.2068 | loss(seq) 0.0118 | grad 3.4793 | lr 0.0000 | time_forward 1.2820 | time_backward 1.4280 |
[2023-10-25 07:06:35,164::train::INFO] [train] Iter 593063 | loss 0.7379 | loss(rot) 0.7036 | loss(pos) 0.0343 | loss(seq) 0.0000 | grad 4.0239 | lr 0.0000 | time_forward 3.4440 | time_backward 4.6730 |
[2023-10-25 07:06:37,881::train::INFO] [train] Iter 593064 | loss 0.3701 | loss(rot) 0.1668 | loss(pos) 0.1801 | loss(seq) 0.0232 | grad 3.8754 | lr 0.0000 | time_forward 1.2960 | time_backward 1.4180 |
[2023-10-25 07:06:45,395::train::INFO] [train] Iter 593065 | loss 0.3953 | loss(rot) 0.3285 | loss(pos) 0.0221 | loss(seq) 0.0447 | grad 26.1258 | lr 0.0000 | time_forward 3.2080 | time_backward 4.3020 |
[2023-10-25 07:06:52,869::train::INFO] [train] Iter 593066 | loss 1.6869 | loss(rot) 1.3323 | loss(pos) 0.0524 | loss(seq) 0.3022 | grad 6.0400 | lr 0.0000 | time_forward 3.1830 | time_backward 4.2880 |
[2023-10-25 07:06:56,828::train::INFO] [train] Iter 593067 | loss 0.9734 | loss(rot) 0.1536 | loss(pos) 0.1594 | loss(seq) 0.6604 | grad 3.4730 | lr 0.0000 | time_forward 1.8130 | time_backward 2.1440 |
[2023-10-25 07:07:03,704::train::INFO] [train] Iter 593068 | loss 1.1948 | loss(rot) 1.0247 | loss(pos) 0.0264 | loss(seq) 0.1436 | grad 2.9957 | lr 0.0000 | time_forward 2.8560 | time_backward 4.0160 |
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