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[2023-09-02 21:57:12,201::train::INFO] [train] Iter 14672 | loss 0.8178 | loss(rot) 0.2905 | loss(pos) 0.1796 | loss(seq) 0.3476 | grad 3.4967 | lr 0.0010 | time_forward 3.7070 | time_backward 5.1480 |
[2023-09-02 21:57:21,909::train::INFO] [train] Iter 14673 | loss 1.1235 | loss(rot) 0.9301 | loss(pos) 0.1930 | loss(seq) 0.0003 | grad 6.5542 | lr 0.0010 | time_forward 4.0040 | time_backward 5.7000 |
[2023-09-02 21:57:25,363::train::INFO] [train] Iter 14674 | loss 0.7530 | loss(rot) 0.1238 | loss(pos) 0.6047 | loss(seq) 0.0245 | grad 3.0076 | lr 0.0010 | time_forward 1.4430 | time_backward 2.0080 |
[2023-09-02 21:57:34,072::train::INFO] [train] Iter 14675 | loss 0.9188 | loss(rot) 0.4979 | loss(pos) 0.1094 | loss(seq) 0.3115 | grad 3.6820 | lr 0.0010 | time_forward 3.6960 | time_backward 5.0090 |
[2023-09-02 21:57:43,099::train::INFO] [train] Iter 14676 | loss 1.2149 | loss(rot) 0.7139 | loss(pos) 0.1169 | loss(seq) 0.3840 | grad 6.4259 | lr 0.0010 | time_forward 3.8140 | time_backward 5.2110 |
[2023-09-02 21:57:53,563::train::INFO] [train] Iter 14677 | loss 1.0792 | loss(rot) 0.4137 | loss(pos) 0.3465 | loss(seq) 0.3190 | grad 3.4131 | lr 0.0010 | time_forward 4.2140 | time_backward 6.2470 |
[2023-09-02 21:58:02,250::train::INFO] [train] Iter 14678 | loss 1.0124 | loss(rot) 0.9095 | loss(pos) 0.0719 | loss(seq) 0.0310 | grad 7.3476 | lr 0.0010 | time_forward 3.5640 | time_backward 5.1190 |
[2023-09-02 21:58:05,070::train::INFO] [train] Iter 14679 | loss 1.4783 | loss(rot) 0.8397 | loss(pos) 0.1841 | loss(seq) 0.4545 | grad 4.6730 | lr 0.0010 | time_forward 1.3050 | time_backward 1.5110 |
[2023-09-02 21:58:08,034::train::INFO] [train] Iter 14680 | loss 1.1341 | loss(rot) 0.4067 | loss(pos) 0.3066 | loss(seq) 0.4208 | grad 5.2233 | lr 0.0010 | time_forward 1.3690 | time_backward 1.5910 |
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