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[2023-10-25 08:34:24,513::train::INFO] [train] Iter 593858 | loss 0.8450 | loss(rot) 0.7992 | loss(pos) 0.0261 | loss(seq) 0.0198 | grad 2.3531 | lr 0.0000 | time_forward 3.7750 | time_backward 5.1270 |
[2023-10-25 08:34:31,664::train::INFO] [train] Iter 593859 | loss 1.3654 | loss(rot) 0.7895 | loss(pos) 0.0860 | loss(seq) 0.4899 | grad 15.5060 | lr 0.0000 | time_forward 3.0320 | time_backward 4.1170 |
[2023-10-25 08:34:40,488::train::INFO] [train] Iter 593860 | loss 0.9326 | loss(rot) 0.4948 | loss(pos) 0.1253 | loss(seq) 0.3125 | grad 3.7779 | lr 0.0000 | time_forward 3.6300 | time_backward 5.1900 |
[2023-10-25 08:34:47,943::train::INFO] [train] Iter 593861 | loss 0.2569 | loss(rot) 0.2239 | loss(pos) 0.0330 | loss(seq) 0.0000 | grad 3.2070 | lr 0.0000 | time_forward 3.2070 | time_backward 4.2460 |
[2023-10-25 08:34:50,672::train::INFO] [train] Iter 593862 | loss 0.2156 | loss(rot) 0.0430 | loss(pos) 0.1668 | loss(seq) 0.0058 | grad 4.9941 | lr 0.0000 | time_forward 1.2930 | time_backward 1.4330 |
[2023-10-25 08:34:56,776::train::INFO] [train] Iter 593863 | loss 0.3286 | loss(rot) 0.2755 | loss(pos) 0.0363 | loss(seq) 0.0168 | grad 3.4485 | lr 0.0000 | time_forward 2.6750 | time_backward 3.4020 |
[2023-10-25 08:35:04,590::train::INFO] [train] Iter 593864 | loss 0.6341 | loss(rot) 0.5206 | loss(pos) 0.0211 | loss(seq) 0.0925 | grad 3.8305 | lr 0.0000 | time_forward 3.3300 | time_backward 4.4820 |
[2023-10-25 08:35:12,388::train::INFO] [train] Iter 593865 | loss 0.1572 | loss(rot) 0.1061 | loss(pos) 0.0189 | loss(seq) 0.0322 | grad 1.9536 | lr 0.0000 | time_forward 3.3370 | time_backward 4.4570 |
[2023-10-25 08:35:19,841::train::INFO] [train] Iter 593866 | loss 0.4411 | loss(rot) 0.1655 | loss(pos) 0.0232 | loss(seq) 0.2523 | grad 3.0536 | lr 0.0000 | time_forward 3.2090 | time_backward 4.2420 |
[2023-10-25 08:35:27,092::train::INFO] [train] Iter 593867 | loss 1.0397 | loss(rot) 0.5848 | loss(pos) 0.2786 | loss(seq) 0.1763 | grad 3.9883 | lr 0.0000 | time_forward 3.0800 | time_backward 4.1670 |
[2023-10-25 08:35:34,630::train::INFO] [train] Iter 593868 | loss 0.2654 | loss(rot) 0.1998 | loss(pos) 0.0250 | loss(seq) 0.0406 | grad 2.2014 | lr 0.0000 | time_forward 3.2330 | time_backward 4.3020 |
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