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[2023-10-23 22:48:47,401::train::INFO] [train] Iter 576275 | loss 1.7201 | loss(rot) 1.1389 | loss(pos) 0.1283 | loss(seq) 0.4529 | grad 3.9425 | lr 0.0000 | time_forward 4.0240 | time_backward 5.9550 |
[2023-10-23 22:48:55,477::train::INFO] [train] Iter 576276 | loss 0.3880 | loss(rot) 0.1457 | loss(pos) 0.1584 | loss(seq) 0.0838 | grad 4.2917 | lr 0.0000 | time_forward 3.4050 | time_backward 4.6670 |
[2023-10-23 22:49:01,505::train::INFO] [train] Iter 576277 | loss 0.9941 | loss(rot) 0.9245 | loss(pos) 0.0225 | loss(seq) 0.0471 | grad 21.5894 | lr 0.0000 | time_forward 2.6460 | time_backward 3.3730 |
[2023-10-23 22:49:15,974::train::INFO] [train] Iter 576278 | loss 1.2391 | loss(rot) 0.7190 | loss(pos) 0.1218 | loss(seq) 0.3983 | grad 20.9923 | lr 0.0000 | time_forward 5.9430 | time_backward 8.5220 |
[2023-10-23 22:49:35,945::train::INFO] [train] Iter 576279 | loss 0.6842 | loss(rot) 0.3254 | loss(pos) 0.1961 | loss(seq) 0.1627 | grad 2.1482 | lr 0.0000 | time_forward 13.0430 | time_backward 6.9250 |
[2023-10-23 22:49:54,057::train::INFO] [train] Iter 576280 | loss 0.4615 | loss(rot) 0.1862 | loss(pos) 0.0226 | loss(seq) 0.2527 | grad 2.2215 | lr 0.0000 | time_forward 10.5010 | time_backward 7.6070 |
[2023-10-23 22:50:13,386::train::INFO] [train] Iter 576281 | loss 0.6848 | loss(rot) 0.2553 | loss(pos) 0.0683 | loss(seq) 0.3612 | grad 3.7120 | lr 0.0000 | time_forward 13.4010 | time_backward 5.9260 |
[2023-10-23 22:50:22,003::train::INFO] [train] Iter 576282 | loss 1.2820 | loss(rot) 0.7068 | loss(pos) 0.2983 | loss(seq) 0.2769 | grad 3.7894 | lr 0.0000 | time_forward 3.5770 | time_backward 5.0360 |
[2023-10-23 22:50:25,029::train::INFO] [train] Iter 576283 | loss 1.3136 | loss(rot) 0.9431 | loss(pos) 0.1143 | loss(seq) 0.2562 | grad 6.2587 | lr 0.0000 | time_forward 1.3660 | time_backward 1.6570 |
[2023-10-23 22:50:27,662::train::INFO] [train] Iter 576284 | loss 0.4569 | loss(rot) 0.2413 | loss(pos) 0.0295 | loss(seq) 0.1860 | grad 57.8223 | lr 0.0000 | time_forward 1.2390 | time_backward 1.3780 |
[2023-10-23 22:50:34,431::train::INFO] [train] Iter 576285 | loss 1.1689 | loss(rot) 1.1287 | loss(pos) 0.0184 | loss(seq) 0.0219 | grad 25.5256 | lr 0.0000 | time_forward 2.7790 | time_backward 3.9870 |
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