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[2023-10-25 03:19:13,345::train::INFO] [train] Iter 590961 | loss 0.7397 | loss(rot) 0.1891 | loss(pos) 0.0686 | loss(seq) 0.4820 | grad 2.7776 | lr 0.0000 | time_forward 3.0970 | time_backward 4.1630 |
[2023-10-25 03:19:16,216::train::INFO] [train] Iter 590962 | loss 0.2653 | loss(rot) 0.0775 | loss(pos) 0.1715 | loss(seq) 0.0163 | grad 5.6718 | lr 0.0000 | time_forward 1.3210 | time_backward 1.5460 |
[2023-10-25 03:19:23,033::train::INFO] [train] Iter 590963 | loss 0.8822 | loss(rot) 0.5507 | loss(pos) 0.1128 | loss(seq) 0.2187 | grad 3.2146 | lr 0.0000 | time_forward 2.9430 | time_backward 3.8710 |
[2023-10-25 03:19:32,138::train::INFO] [train] Iter 590964 | loss 1.3880 | loss(rot) 1.3275 | loss(pos) 0.0291 | loss(seq) 0.0314 | grad 4.8310 | lr 0.0000 | time_forward 3.7540 | time_backward 5.3480 |
[2023-10-25 03:19:34,855::train::INFO] [train] Iter 590965 | loss 0.2072 | loss(rot) 0.0700 | loss(pos) 0.0352 | loss(seq) 0.1020 | grad 1.5929 | lr 0.0000 | time_forward 1.3040 | time_backward 1.4100 |
[2023-10-25 03:19:42,387::train::INFO] [train] Iter 590966 | loss 0.6704 | loss(rot) 0.1072 | loss(pos) 0.0716 | loss(seq) 0.4915 | grad 3.4092 | lr 0.0000 | time_forward 3.2360 | time_backward 4.2930 |
[2023-10-25 03:19:45,116::train::INFO] [train] Iter 590967 | loss 0.3217 | loss(rot) 0.1181 | loss(pos) 0.0215 | loss(seq) 0.1821 | grad 2.1196 | lr 0.0000 | time_forward 1.2920 | time_backward 1.4330 |
[2023-10-25 03:19:52,825::train::INFO] [train] Iter 590968 | loss 0.3677 | loss(rot) 0.2298 | loss(pos) 0.0144 | loss(seq) 0.1236 | grad 2.5932 | lr 0.0000 | time_forward 3.3700 | time_backward 4.3370 |
[2023-10-25 03:19:55,537::train::INFO] [train] Iter 590969 | loss 0.4504 | loss(rot) 0.0221 | loss(pos) 0.4059 | loss(seq) 0.0225 | grad 6.9397 | lr 0.0000 | time_forward 1.2920 | time_backward 1.4160 |
[2023-10-25 03:20:03,132::train::INFO] [train] Iter 590970 | loss 1.0362 | loss(rot) 0.8834 | loss(pos) 0.0211 | loss(seq) 0.1318 | grad 7.0934 | lr 0.0000 | time_forward 3.2670 | time_backward 4.2980 |
[2023-10-25 03:20:05,804::train::INFO] [train] Iter 590971 | loss 0.2421 | loss(rot) 0.0647 | loss(pos) 0.1644 | loss(seq) 0.0130 | grad 5.2760 | lr 0.0000 | time_forward 1.2830 | time_backward 1.3860 |
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