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[2023-10-23 14:59:23,786::train::INFO] [train] Iter 572179 | loss 1.6164 | loss(rot) 0.8426 | loss(pos) 0.2973 | loss(seq) 0.4765 | grad 3.4468 | lr 0.0000 | time_forward 3.3460 | time_backward 4.2880 |
[2023-10-23 14:59:31,382::train::INFO] [train] Iter 572180 | loss 0.7756 | loss(rot) 0.6963 | loss(pos) 0.0752 | loss(seq) 0.0041 | grad 4.2297 | lr 0.0000 | time_forward 3.3500 | time_backward 4.2430 |
[2023-10-23 14:59:38,070::train::INFO] [train] Iter 572181 | loss 0.1766 | loss(rot) 0.0715 | loss(pos) 0.0299 | loss(seq) 0.0752 | grad 2.3279 | lr 0.0000 | time_forward 2.9230 | time_backward 3.7620 |
[2023-10-23 14:59:45,677::train::INFO] [train] Iter 572182 | loss 0.4388 | loss(rot) 0.1353 | loss(pos) 0.2412 | loss(seq) 0.0624 | grad 4.0051 | lr 0.0000 | time_forward 3.1370 | time_backward 4.4670 |
[2023-10-23 14:59:52,381::train::INFO] [train] Iter 572183 | loss 1.0011 | loss(rot) 0.3164 | loss(pos) 0.3175 | loss(seq) 0.3672 | grad 4.8289 | lr 0.0000 | time_forward 2.9400 | time_backward 3.7600 |
[2023-10-23 14:59:59,177::train::INFO] [train] Iter 572184 | loss 0.2179 | loss(rot) 0.0484 | loss(pos) 0.1600 | loss(seq) 0.0095 | grad 3.7239 | lr 0.0000 | time_forward 2.9010 | time_backward 3.8930 |
[2023-10-23 15:00:01,809::train::INFO] [train] Iter 572185 | loss 0.5933 | loss(rot) 0.2137 | loss(pos) 0.3243 | loss(seq) 0.0554 | grad 4.1696 | lr 0.0000 | time_forward 1.2610 | time_backward 1.3670 |
[2023-10-23 15:00:06,475::train::INFO] [train] Iter 572186 | loss 0.9003 | loss(rot) 0.6259 | loss(pos) 0.0703 | loss(seq) 0.2041 | grad 5.9527 | lr 0.0000 | time_forward 2.0610 | time_backward 2.5920 |
[2023-10-23 15:00:08,633::train::INFO] [train] Iter 572187 | loss 0.4243 | loss(rot) 0.0952 | loss(pos) 0.0940 | loss(seq) 0.2351 | grad 2.3549 | lr 0.0000 | time_forward 0.9890 | time_backward 1.1650 |
[2023-10-23 15:00:16,535::train::INFO] [train] Iter 572188 | loss 0.3352 | loss(rot) 0.1173 | loss(pos) 0.1106 | loss(seq) 0.1073 | grad 3.1450 | lr 0.0000 | time_forward 3.2980 | time_backward 4.6000 |
[2023-10-23 15:00:24,423::train::INFO] [train] Iter 572189 | loss 0.8120 | loss(rot) 0.2694 | loss(pos) 0.1773 | loss(seq) 0.3653 | grad 2.9673 | lr 0.0000 | time_forward 3.2400 | time_backward 4.6450 |
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