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[2023-10-22 22:40:28,594::train::INFO] [train] Iter 562789 | loss 0.5124 | loss(rot) 0.2549 | loss(pos) 0.0810 | loss(seq) 0.1764 | grad 11.3514 | lr 0.0000 | time_forward 3.0350 | time_backward 3.9550 |
[2023-10-22 22:40:31,225::train::INFO] [train] Iter 562790 | loss 0.1445 | loss(rot) 0.0591 | loss(pos) 0.0386 | loss(seq) 0.0468 | grad 2.1266 | lr 0.0000 | time_forward 1.2390 | time_backward 1.3890 |
[2023-10-22 22:40:33,878::train::INFO] [train] Iter 562791 | loss 0.5831 | loss(rot) 0.5146 | loss(pos) 0.0296 | loss(seq) 0.0389 | grad 8.1122 | lr 0.0000 | time_forward 1.2590 | time_backward 1.3910 |
[2023-10-22 22:40:40,420::train::INFO] [train] Iter 562792 | loss 1.3286 | loss(rot) 1.1365 | loss(pos) 0.0300 | loss(seq) 0.1621 | grad 4.4233 | lr 0.0000 | time_forward 2.8160 | time_backward 3.7220 |
[2023-10-22 22:40:46,801::train::INFO] [train] Iter 562793 | loss 0.2562 | loss(rot) 0.0797 | loss(pos) 0.1615 | loss(seq) 0.0151 | grad 5.4363 | lr 0.0000 | time_forward 2.7670 | time_backward 3.6100 |
[2023-10-22 22:40:54,576::train::INFO] [train] Iter 562794 | loss 0.6346 | loss(rot) 0.2313 | loss(pos) 0.0636 | loss(seq) 0.3398 | grad 3.4316 | lr 0.0000 | time_forward 3.2700 | time_backward 4.5010 |
[2023-10-22 22:41:01,659::train::INFO] [train] Iter 562795 | loss 0.2766 | loss(rot) 0.2316 | loss(pos) 0.0435 | loss(seq) 0.0015 | grad 3.1567 | lr 0.0000 | time_forward 3.1480 | time_backward 3.9320 |
[2023-10-22 22:41:08,877::train::INFO] [train] Iter 562796 | loss 1.2321 | loss(rot) 0.8007 | loss(pos) 0.0662 | loss(seq) 0.3652 | grad 3.9972 | lr 0.0000 | time_forward 3.2070 | time_backward 4.0080 |
[2023-10-22 22:41:15,212::train::INFO] [train] Iter 562797 | loss 1.3747 | loss(rot) 0.7421 | loss(pos) 0.0731 | loss(seq) 0.5595 | grad 7.3855 | lr 0.0000 | time_forward 2.7190 | time_backward 3.6120 |
[2023-10-22 22:41:21,586::train::INFO] [train] Iter 562798 | loss 0.4755 | loss(rot) 0.3581 | loss(pos) 0.0223 | loss(seq) 0.0951 | grad 15.6878 | lr 0.0000 | time_forward 2.7440 | time_backward 3.6270 |
[2023-10-22 22:41:28,431::train::INFO] [train] Iter 562799 | loss 0.6022 | loss(rot) 0.0401 | loss(pos) 0.5524 | loss(seq) 0.0096 | grad 7.3239 | lr 0.0000 | time_forward 2.9850 | time_backward 3.8560 |
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