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[2023-09-02 22:10:16,631::train::INFO] [train] Iter 14772 | loss 1.4518 | loss(rot) 0.9313 | loss(pos) 0.0981 | loss(seq) 0.4225 | grad 4.1250 | lr 0.0010 | time_forward 3.9640 | time_backward 5.9300 |
[2023-09-02 22:10:25,323::train::INFO] [train] Iter 14773 | loss 2.0926 | loss(rot) 1.9251 | loss(pos) 0.1673 | loss(seq) 0.0001 | grad 4.9221 | lr 0.0010 | time_forward 3.5390 | time_backward 5.1500 |
[2023-09-02 22:10:34,028::train::INFO] [train] Iter 14774 | loss 2.9191 | loss(rot) 2.4545 | loss(pos) 0.2376 | loss(seq) 0.2269 | grad 4.2769 | lr 0.0010 | time_forward 3.6030 | time_backward 5.0980 |
[2023-09-02 22:10:43,980::train::INFO] [train] Iter 14775 | loss 1.6733 | loss(rot) 0.8585 | loss(pos) 0.3245 | loss(seq) 0.4903 | grad 4.5002 | lr 0.0010 | time_forward 4.0310 | time_backward 5.9170 |
[2023-09-02 22:10:52,043::train::INFO] [train] Iter 14776 | loss 2.1743 | loss(rot) 1.6921 | loss(pos) 0.1656 | loss(seq) 0.3166 | grad 5.1274 | lr 0.0010 | time_forward 3.4780 | time_backward 4.5810 |
[2023-09-02 22:10:59,306::train::INFO] [train] Iter 14777 | loss 1.8678 | loss(rot) 1.5039 | loss(pos) 0.0835 | loss(seq) 0.2803 | grad 5.5790 | lr 0.0010 | time_forward 3.0460 | time_backward 4.2140 |
[2023-09-02 22:11:07,875::train::INFO] [train] Iter 14778 | loss 1.9881 | loss(rot) 1.8936 | loss(pos) 0.0914 | loss(seq) 0.0031 | grad 4.1684 | lr 0.0010 | time_forward 3.6200 | time_backward 4.9450 |
[2023-09-02 22:11:17,854::train::INFO] [train] Iter 14779 | loss 1.9632 | loss(rot) 0.0719 | loss(pos) 1.3655 | loss(seq) 0.5258 | grad 6.2487 | lr 0.0010 | time_forward 4.1010 | time_backward 5.8750 |
[2023-09-02 22:11:20,638::train::INFO] [train] Iter 14780 | loss 2.1262 | loss(rot) 1.4103 | loss(pos) 0.1441 | loss(seq) 0.5718 | grad 4.3616 | lr 0.0010 | time_forward 1.3220 | time_backward 1.4580 |
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