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[2023-09-03 01:07:05,483::train::INFO] [train] Iter 16168 | loss 2.1315 | loss(rot) 1.2211 | loss(pos) 0.3054 | loss(seq) 0.6050 | grad 4.3094 | lr 0.0010 | time_forward 3.0300 | time_backward 3.9910 |
[2023-09-03 01:07:13,746::train::INFO] [train] Iter 16169 | loss 1.4194 | loss(rot) 0.0555 | loss(pos) 1.3615 | loss(seq) 0.0024 | grad 5.4458 | lr 0.0010 | time_forward 3.2670 | time_backward 4.9930 |
[2023-09-03 01:07:23,103::train::INFO] [train] Iter 16170 | loss 0.9236 | loss(rot) 0.0751 | loss(pos) 0.8321 | loss(seq) 0.0164 | grad 7.5159 | lr 0.0010 | time_forward 4.0630 | time_backward 5.2820 |
[2023-09-03 01:07:25,692::train::INFO] [train] Iter 16171 | loss 1.2733 | loss(rot) 0.6998 | loss(pos) 0.1169 | loss(seq) 0.4565 | grad 4.1123 | lr 0.0010 | time_forward 1.1890 | time_backward 1.3960 |
[2023-09-03 01:07:28,408::train::INFO] [train] Iter 16172 | loss 0.8446 | loss(rot) 0.2862 | loss(pos) 0.2877 | loss(seq) 0.2706 | grad 3.8450 | lr 0.0010 | time_forward 1.2960 | time_backward 1.4160 |
[2023-09-03 01:07:37,085::train::INFO] [train] Iter 16173 | loss 2.2806 | loss(rot) 1.8592 | loss(pos) 0.1296 | loss(seq) 0.2918 | grad 7.6391 | lr 0.0010 | time_forward 3.7330 | time_backward 4.9420 |
[2023-09-03 01:07:45,820::train::INFO] [train] Iter 16174 | loss 1.4241 | loss(rot) 0.6444 | loss(pos) 0.2015 | loss(seq) 0.5782 | grad 3.6072 | lr 0.0010 | time_forward 3.6760 | time_backward 5.0550 |
[2023-09-03 01:07:53,657::train::INFO] [train] Iter 16175 | loss 0.7849 | loss(rot) 0.0850 | loss(pos) 0.6836 | loss(seq) 0.0162 | grad 5.9194 | lr 0.0010 | time_forward 3.3350 | time_backward 4.4910 |
[2023-09-03 01:08:01,814::train::INFO] [train] Iter 16176 | loss 1.7039 | loss(rot) 0.0866 | loss(pos) 1.6164 | loss(seq) 0.0009 | grad 5.6727 | lr 0.0010 | time_forward 3.4070 | time_backward 4.7460 |
[2023-09-03 01:08:10,651::train::INFO] [train] Iter 16177 | loss 1.6135 | loss(rot) 0.6140 | loss(pos) 0.5399 | loss(seq) 0.4596 | grad 4.3540 | lr 0.0010 | time_forward 3.4690 | time_backward 5.3650 |
[2023-09-03 01:08:18,322::train::INFO] [train] Iter 16178 | loss 1.9789 | loss(rot) 0.5376 | loss(pos) 0.9406 | loss(seq) 0.5006 | grad 5.6563 | lr 0.0010 | time_forward 3.1590 | time_backward 4.5090 |
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