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[2023-09-02 10:39:28,575::train::INFO] [val] Iter 09000 | loss 1.8348 | loss(rot) 1.1911 | loss(pos) 0.3609 | loss(seq) 0.2828 |
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[2023-09-02 10:48:41,060::train::INFO] [train] Iter 09075 | loss 2.2207 | loss(rot) 1.9353 | loss(pos) 0.2805 | loss(seq) 0.0049 | grad 5.0225 | lr 0.0010 | time_forward 4.0050 | time_backward 5.9120 |
[2023-09-02 10:48:48,552::train::INFO] [train] Iter 09076 | loss 1.1493 | loss(rot) 0.3065 | loss(pos) 0.6384 | loss(seq) 0.2044 | grad 5.2075 | lr 0.0010 | time_forward 3.1930 | time_backward 4.2940 |
[2023-09-02 10:48:58,269::train::INFO] [train] Iter 09077 | loss 1.2636 | loss(rot) 0.2972 | loss(pos) 0.5965 | loss(seq) 0.3699 | grad 3.8895 | lr 0.0010 | time_forward 4.0300 | time_backward 5.6840 |
[2023-09-02 10:49:00,934::train::INFO] [train] Iter 09078 | loss 1.7149 | loss(rot) 0.8390 | loss(pos) 0.3167 | loss(seq) 0.5591 | grad 4.5643 | lr 0.0010 | time_forward 1.2630 | time_backward 1.3980 |
[2023-09-02 10:49:10,736::train::INFO] [train] Iter 09079 | loss 2.2216 | loss(rot) 2.0251 | loss(pos) 0.1959 | loss(seq) 0.0006 | grad 4.5632 | lr 0.0010 | time_forward 3.9940 | time_backward 5.8050 |
[2023-09-02 10:49:19,435::train::INFO] [train] Iter 09080 | loss 0.4986 | loss(rot) 0.0328 | loss(pos) 0.4551 | loss(seq) 0.0106 | grad 4.5344 | lr 0.0010 | time_forward 3.6830 | time_backward 5.0130 |
[2023-09-02 10:49:25,345::train::INFO] [train] Iter 09081 | loss 2.0709 | loss(rot) 1.3306 | loss(pos) 0.2105 | loss(seq) 0.5299 | grad 3.4485 | lr 0.0010 | time_forward 2.5340 | time_backward 3.3730 |
[2023-09-02 10:49:35,006::train::INFO] [train] Iter 09082 | loss 2.5024 | loss(rot) 1.9155 | loss(pos) 0.1620 | loss(seq) 0.4249 | grad 4.9205 | lr 0.0010 | time_forward 3.9740 | time_backward 5.6840 |
[2023-09-02 10:49:37,724::train::INFO] [train] Iter 09083 | loss 1.1647 | loss(rot) 0.4211 | loss(pos) 0.3549 | loss(seq) 0.3887 | grad 3.9367 | lr 0.0010 | time_forward 1.2830 | time_backward 1.4160 |
[2023-09-02 10:49:46,568::train::INFO] [train] Iter 09084 | loss 1.8742 | loss(rot) 1.7198 | loss(pos) 0.1531 | loss(seq) 0.0013 | grad 4.8690 | lr 0.0010 | time_forward 3.7240 | time_backward 5.1160 |
[2023-09-02 10:49:55,574::train::INFO] [train] Iter 09085 | loss 1.5295 | loss(rot) 1.0830 | loss(pos) 0.1207 | loss(seq) 0.3258 | grad 4.7129 | lr 0.0010 | time_forward 3.8250 | time_backward 5.1770 |
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