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[2023-09-02 20:29:34,585::train::INFO] [train] Iter 13972 | loss 2.1446 | loss(rot) 1.8585 | loss(pos) 0.2680 | loss(seq) 0.0181 | grad 6.7421 | lr 0.0010 | time_forward 3.6160 | time_backward 4.9010 |
[2023-09-02 20:29:37,369::train::INFO] [train] Iter 13973 | loss 0.8171 | loss(rot) 0.2436 | loss(pos) 0.1762 | loss(seq) 0.3974 | grad 2.8841 | lr 0.0010 | time_forward 1.2570 | time_backward 1.5230 |
[2023-09-02 20:29:47,665::train::INFO] [train] Iter 13974 | loss 1.8444 | loss(rot) 1.5278 | loss(pos) 0.2744 | loss(seq) 0.0422 | grad 6.6259 | lr 0.0010 | time_forward 4.3430 | time_backward 5.9500 |
[2023-09-02 20:29:58,076::train::INFO] [train] Iter 13975 | loss 2.0569 | loss(rot) 1.9227 | loss(pos) 0.0668 | loss(seq) 0.0674 | grad 4.5311 | lr 0.0010 | time_forward 4.1100 | time_backward 6.2970 |
[2023-09-02 20:30:07,436::train::INFO] [train] Iter 13976 | loss 2.7789 | loss(rot) 2.5873 | loss(pos) 0.1917 | loss(seq) 0.0000 | grad 5.9606 | lr 0.0010 | time_forward 4.0020 | time_backward 5.3340 |
[2023-09-02 20:30:15,653::train::INFO] [train] Iter 13977 | loss 1.4047 | loss(rot) 1.1183 | loss(pos) 0.0481 | loss(seq) 0.2384 | grad 5.6717 | lr 0.0010 | time_forward 3.4290 | time_backward 4.7840 |
[2023-09-02 20:30:24,912::train::INFO] [train] Iter 13978 | loss 1.1455 | loss(rot) 0.2630 | loss(pos) 0.6831 | loss(seq) 0.1995 | grad 2.4932 | lr 0.0010 | time_forward 3.8970 | time_backward 5.3580 |
[2023-09-02 20:30:34,252::train::INFO] [train] Iter 13979 | loss 1.1546 | loss(rot) 0.9963 | loss(pos) 0.1204 | loss(seq) 0.0379 | grad 4.2162 | lr 0.0010 | time_forward 3.9470 | time_backward 5.3890 |
[2023-09-02 20:30:36,930::train::INFO] [train] Iter 13980 | loss 1.6839 | loss(rot) 1.4001 | loss(pos) 0.2666 | loss(seq) 0.0171 | grad 5.1339 | lr 0.0010 | time_forward 1.2520 | time_backward 1.4230 |
[2023-09-02 20:30:47,451::train::INFO] [train] Iter 13981 | loss 0.9958 | loss(rot) 0.0896 | loss(pos) 0.8934 | loss(seq) 0.0128 | grad 4.4142 | lr 0.0010 | time_forward 4.1960 | time_backward 6.3210 |
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