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[2023-09-02 01:41:31,930::train::INFO] [train] Iter 04580 | loss 3.5006 | loss(rot) 3.2964 | loss(pos) 0.1782 | loss(seq) 0.0261 | grad 4.2109 | lr 0.0010 | time_forward 3.7920 | time_backward 5.2100 |
[2023-09-02 01:41:40,115::train::INFO] [train] Iter 04581 | loss 3.3449 | loss(rot) 2.6952 | loss(pos) 0.2109 | loss(seq) 0.4388 | grad 2.9776 | lr 0.0010 | time_forward 3.4800 | time_backward 4.7020 |
[2023-09-02 01:41:48,387::train::INFO] [train] Iter 04582 | loss 1.1144 | loss(rot) 0.5001 | loss(pos) 0.5348 | loss(seq) 0.0795 | grad 2.6872 | lr 0.0010 | time_forward 3.6510 | time_backward 4.6180 |
[2023-09-02 01:41:57,000::train::INFO] [train] Iter 04583 | loss 2.4459 | loss(rot) 1.7053 | loss(pos) 0.1483 | loss(seq) 0.5923 | grad 2.5456 | lr 0.0010 | time_forward 3.6270 | time_backward 4.9830 |
[2023-09-02 01:42:07,231::train::INFO] [train] Iter 04584 | loss 1.9814 | loss(rot) 1.2695 | loss(pos) 0.4479 | loss(seq) 0.2639 | grad 3.5939 | lr 0.0010 | time_forward 4.2920 | time_backward 5.9350 |
[2023-09-02 01:42:16,799::train::INFO] [train] Iter 04585 | loss 1.3100 | loss(rot) 1.1568 | loss(pos) 0.1532 | loss(seq) 0.0000 | grad 3.2671 | lr 0.0010 | time_forward 3.8520 | time_backward 5.7130 |
[2023-09-02 01:42:26,762::train::INFO] [train] Iter 04586 | loss 1.3423 | loss(rot) 0.6163 | loss(pos) 0.4577 | loss(seq) 0.2683 | grad 3.6228 | lr 0.0010 | time_forward 4.0620 | time_backward 5.8970 |
[2023-09-02 01:42:34,850::train::INFO] [train] Iter 04587 | loss 2.4281 | loss(rot) 1.5524 | loss(pos) 0.3327 | loss(seq) 0.5430 | grad 3.6597 | lr 0.0010 | time_forward 3.5080 | time_backward 4.5770 |
[2023-09-02 01:42:44,301::train::INFO] [train] Iter 04588 | loss 1.7416 | loss(rot) 0.7642 | loss(pos) 0.4382 | loss(seq) 0.5393 | grad 5.1525 | lr 0.0010 | time_forward 3.7920 | time_backward 5.6550 |
[2023-09-02 01:42:51,960::train::INFO] [train] Iter 04589 | loss 1.4927 | loss(rot) 0.0864 | loss(pos) 1.3942 | loss(seq) 0.0121 | grad 6.7560 | lr 0.0010 | time_forward 3.2060 | time_backward 4.4500 |
[2023-09-02 01:43:00,476::train::INFO] [train] Iter 04590 | loss 1.9560 | loss(rot) 1.3782 | loss(pos) 0.1686 | loss(seq) 0.4093 | grad 4.8998 | lr 0.0010 | time_forward 3.6440 | time_backward 4.8690 |
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