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[2023-10-24 10:56:05,151::train::INFO] [train] Iter 582369 | loss 0.7772 | loss(rot) 0.4294 | loss(pos) 0.0216 | loss(seq) 0.3262 | grad 4.3424 | lr 0.0000 | time_forward 3.9850 | time_backward 5.8720 |
[2023-10-24 10:56:14,336::train::INFO] [train] Iter 582370 | loss 1.5833 | loss(rot) 1.5626 | loss(pos) 0.0198 | loss(seq) 0.0009 | grad 6.7901 | lr 0.0000 | time_forward 3.8100 | time_backward 5.3730 |
[2023-10-24 10:56:24,396::train::INFO] [train] Iter 582371 | loss 1.2686 | loss(rot) 0.7930 | loss(pos) 0.1021 | loss(seq) 0.3736 | grad 4.9940 | lr 0.0000 | time_forward 4.2380 | time_backward 5.8180 |
[2023-10-24 10:56:34,438::train::INFO] [train] Iter 582372 | loss 0.4476 | loss(rot) 0.1662 | loss(pos) 0.0529 | loss(seq) 0.2285 | grad 2.8363 | lr 0.0000 | time_forward 4.0950 | time_backward 5.9430 |
[2023-10-24 10:56:41,529::train::INFO] [train] Iter 582373 | loss 0.2951 | loss(rot) 0.2241 | loss(pos) 0.0250 | loss(seq) 0.0460 | grad 6.5212 | lr 0.0000 | time_forward 3.0480 | time_backward 4.0400 |
[2023-10-24 10:56:49,925::train::INFO] [train] Iter 582374 | loss 1.2977 | loss(rot) 1.1432 | loss(pos) 0.0421 | loss(seq) 0.1124 | grad 4.5262 | lr 0.0000 | time_forward 3.5360 | time_backward 4.8570 |
[2023-10-24 10:56:59,197::train::INFO] [train] Iter 582375 | loss 0.8348 | loss(rot) 0.7494 | loss(pos) 0.0288 | loss(seq) 0.0565 | grad 3.9671 | lr 0.0000 | time_forward 3.7970 | time_backward 5.4710 |
[2023-10-24 10:57:01,454::train::INFO] [train] Iter 582376 | loss 1.3531 | loss(rot) 1.2352 | loss(pos) 0.0223 | loss(seq) 0.0956 | grad 3.9471 | lr 0.0000 | time_forward 1.0390 | time_backward 1.2150 |
[2023-10-24 10:57:10,150::train::INFO] [train] Iter 582377 | loss 0.7858 | loss(rot) 0.4713 | loss(pos) 0.1235 | loss(seq) 0.1910 | grad 3.7513 | lr 0.0000 | time_forward 3.7040 | time_backward 4.9890 |
[2023-10-24 10:57:18,373::train::INFO] [train] Iter 582378 | loss 0.1954 | loss(rot) 0.0676 | loss(pos) 0.0401 | loss(seq) 0.0876 | grad 2.4741 | lr 0.0000 | time_forward 3.4430 | time_backward 4.7770 |
[2023-10-24 10:57:28,108::train::INFO] [train] Iter 582379 | loss 0.1406 | loss(rot) 0.0985 | loss(pos) 0.0150 | loss(seq) 0.0271 | grad 1.9570 | lr 0.0000 | time_forward 3.9630 | time_backward 5.7700 |
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