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[2023-10-24 08:26:47,210::train::INFO] [train] Iter 581170 | loss 0.6815 | loss(rot) 0.5914 | loss(pos) 0.0340 | loss(seq) 0.0561 | grad 2.6193 | lr 0.0000 | time_forward 3.8970 | time_backward 4.8290 |
[2023-10-24 08:26:50,224::train::INFO] [train] Iter 581171 | loss 0.1489 | loss(rot) 0.1131 | loss(pos) 0.0358 | loss(seq) 0.0000 | grad 1.8599 | lr 0.0000 | time_forward 1.5220 | time_backward 1.4880 |
[2023-10-24 08:26:53,115::train::INFO] [train] Iter 581172 | loss 0.2601 | loss(rot) 0.1558 | loss(pos) 0.0241 | loss(seq) 0.0802 | grad 2.4159 | lr 0.0000 | time_forward 1.4260 | time_backward 1.4620 |
[2023-10-24 08:26:55,521::train::INFO] [train] Iter 581173 | loss 1.0598 | loss(rot) 0.4564 | loss(pos) 0.1523 | loss(seq) 0.4511 | grad 3.0369 | lr 0.0000 | time_forward 1.1720 | time_backward 1.2310 |
[2023-10-24 08:27:06,085::train::INFO] [train] Iter 581174 | loss 1.2432 | loss(rot) 0.3054 | loss(pos) 0.5882 | loss(seq) 0.3497 | grad 5.8621 | lr 0.0000 | time_forward 4.7150 | time_backward 5.8150 |
[2023-10-24 08:27:16,405::train::INFO] [train] Iter 581175 | loss 0.6987 | loss(rot) 0.3838 | loss(pos) 0.0765 | loss(seq) 0.2383 | grad 2.3328 | lr 0.0000 | time_forward 4.6220 | time_backward 5.6920 |
[2023-10-24 08:27:27,417::train::INFO] [train] Iter 581176 | loss 1.7901 | loss(rot) 1.7391 | loss(pos) 0.0380 | loss(seq) 0.0129 | grad 3.0581 | lr 0.0000 | time_forward 4.7930 | time_backward 6.2150 |
[2023-10-24 08:27:35,196::train::INFO] [train] Iter 581177 | loss 0.5481 | loss(rot) 0.2946 | loss(pos) 0.1010 | loss(seq) 0.1526 | grad 3.1647 | lr 0.0000 | time_forward 3.4470 | time_backward 4.3290 |
[2023-10-24 08:27:38,142::train::INFO] [train] Iter 581178 | loss 0.3678 | loss(rot) 0.3400 | loss(pos) 0.0279 | loss(seq) 0.0000 | grad 3.6186 | lr 0.0000 | time_forward 1.4630 | time_backward 1.4800 |
[2023-10-24 08:27:48,955::train::INFO] [train] Iter 581179 | loss 2.3202 | loss(rot) 2.0262 | loss(pos) 0.1082 | loss(seq) 0.1858 | grad 8.3266 | lr 0.0000 | time_forward 4.5520 | time_backward 6.2590 |
[2023-10-24 08:27:58,866::train::INFO] [train] Iter 581180 | loss 1.5104 | loss(rot) 1.1721 | loss(pos) 0.0740 | loss(seq) 0.2644 | grad 3.3237 | lr 0.0000 | time_forward 4.0780 | time_backward 5.8290 |
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