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[2023-09-02 08:08:43,179::train::INFO] [train] Iter 07777 | loss 1.0867 | loss(rot) 0.4787 | loss(pos) 0.3165 | loss(seq) 0.2914 | grad 3.9580 | lr 0.0010 | time_forward 1.3540 | time_backward 1.4630 |
[2023-09-02 08:08:52,546::train::INFO] [train] Iter 07778 | loss 2.4910 | loss(rot) 1.4809 | loss(pos) 0.4178 | loss(seq) 0.5923 | grad 5.9991 | lr 0.0010 | time_forward 3.9710 | time_backward 5.3930 |
[2023-09-02 08:09:02,330::train::INFO] [train] Iter 07779 | loss 2.7355 | loss(rot) 2.3571 | loss(pos) 0.3623 | loss(seq) 0.0162 | grad 6.4765 | lr 0.0010 | time_forward 4.3920 | time_backward 5.3890 |
[2023-09-02 08:09:05,003::train::INFO] [train] Iter 07780 | loss 1.8634 | loss(rot) 0.8476 | loss(pos) 0.4887 | loss(seq) 0.5271 | grad 7.1415 | lr 0.0010 | time_forward 1.2730 | time_backward 1.3960 |
[2023-09-02 08:09:14,843::train::INFO] [train] Iter 07781 | loss 2.1038 | loss(rot) 0.7742 | loss(pos) 0.9864 | loss(seq) 0.3432 | grad 6.2953 | lr 0.0010 | time_forward 4.0970 | time_backward 5.7050 |
[2023-09-02 08:09:17,555::train::INFO] [train] Iter 07782 | loss 2.5319 | loss(rot) 1.9804 | loss(pos) 0.5353 | loss(seq) 0.0162 | grad 9.6606 | lr 0.0010 | time_forward 1.3080 | time_backward 1.4000 |
[2023-09-02 08:09:26,028::train::INFO] [train] Iter 07783 | loss 2.7214 | loss(rot) 2.5172 | loss(pos) 0.2036 | loss(seq) 0.0006 | grad 6.5605 | lr 0.0010 | time_forward 3.6820 | time_backward 4.7600 |
[2023-09-02 08:09:28,776::train::INFO] [train] Iter 07784 | loss 2.5381 | loss(rot) 2.3287 | loss(pos) 0.1304 | loss(seq) 0.0790 | grad 5.2847 | lr 0.0010 | time_forward 1.3150 | time_backward 1.4300 |
[2023-09-02 08:09:31,506::train::INFO] [train] Iter 07785 | loss 1.3412 | loss(rot) 0.8072 | loss(pos) 0.1025 | loss(seq) 0.4315 | grad 3.0567 | lr 0.0010 | time_forward 1.3190 | time_backward 1.4060 |
[2023-09-02 08:09:41,482::train::INFO] [train] Iter 07786 | loss 1.0905 | loss(rot) 0.5506 | loss(pos) 0.4928 | loss(seq) 0.0471 | grad 3.7523 | lr 0.0010 | time_forward 4.1240 | time_backward 5.8490 |
[2023-09-02 08:09:44,159::train::INFO] [train] Iter 07787 | loss 1.8202 | loss(rot) 1.5575 | loss(pos) 0.1257 | loss(seq) 0.1370 | grad 3.9426 | lr 0.0010 | time_forward 1.2360 | time_backward 1.4380 |
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