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[2023-09-02 00:03:17,245::train::INFO] [train] Iter 03781 | loss 1.8333 | loss(rot) 1.4333 | loss(pos) 0.1845 | loss(seq) 0.2155 | grad 3.3902 | lr 0.0010 | time_forward 1.2620 | time_backward 1.4420 |
[2023-09-02 00:03:27,641::train::INFO] [train] Iter 03782 | loss 1.7091 | loss(rot) 0.9691 | loss(pos) 0.3499 | loss(seq) 0.3902 | grad 2.3688 | lr 0.0010 | time_forward 4.3590 | time_backward 6.0320 |
[2023-09-02 00:03:37,944::train::INFO] [train] Iter 03783 | loss 1.5275 | loss(rot) 0.6572 | loss(pos) 0.6499 | loss(seq) 0.2204 | grad 4.1396 | lr 0.0010 | time_forward 4.1120 | time_backward 6.1870 |
[2023-09-02 00:03:48,427::train::INFO] [train] Iter 03784 | loss 1.8573 | loss(rot) 0.7432 | loss(pos) 0.7905 | loss(seq) 0.3236 | grad 4.1928 | lr 0.0010 | time_forward 4.3160 | time_backward 6.1510 |
[2023-09-02 00:03:50,871::train::INFO] [train] Iter 03785 | loss 0.7250 | loss(rot) 0.2064 | loss(pos) 0.4746 | loss(seq) 0.0440 | grad 3.6599 | lr 0.0010 | time_forward 1.1620 | time_backward 1.2790 |
[2023-09-02 00:03:58,689::train::INFO] [train] Iter 03786 | loss 3.0987 | loss(rot) 2.4541 | loss(pos) 0.2419 | loss(seq) 0.4027 | grad 5.7064 | lr 0.0010 | time_forward 3.4500 | time_backward 4.3340 |
[2023-09-02 00:04:01,404::train::INFO] [train] Iter 03787 | loss 2.5579 | loss(rot) 2.3842 | loss(pos) 0.1736 | loss(seq) 0.0001 | grad 4.7904 | lr 0.0010 | time_forward 1.2890 | time_backward 1.4220 |
[2023-09-02 00:04:11,571::train::INFO] [train] Iter 03788 | loss 2.8922 | loss(rot) 2.6262 | loss(pos) 0.2656 | loss(seq) 0.0003 | grad 4.1740 | lr 0.0010 | time_forward 4.2150 | time_backward 5.9490 |
[2023-09-02 00:04:20,313::train::INFO] [train] Iter 03789 | loss 2.7599 | loss(rot) 2.6186 | loss(pos) 0.1184 | loss(seq) 0.0229 | grad 5.5279 | lr 0.0010 | time_forward 3.7610 | time_backward 4.9790 |
[2023-09-02 00:04:23,026::train::INFO] [train] Iter 03790 | loss 1.9138 | loss(rot) 1.0791 | loss(pos) 0.2749 | loss(seq) 0.5599 | grad 4.7600 | lr 0.0010 | time_forward 1.2430 | time_backward 1.4670 |
[2023-09-02 00:04:33,077::train::INFO] [train] Iter 03791 | loss 1.4584 | loss(rot) 0.2676 | loss(pos) 1.1531 | loss(seq) 0.0378 | grad 5.1806 | lr 0.0010 | time_forward 4.1020 | time_backward 5.9450 |
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