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[2023-10-24 12:03:53,090::train::INFO] [train] Iter 582969 | loss 2.2429 | loss(rot) 1.4794 | loss(pos) 0.2444 | loss(seq) 0.5192 | grad 8.9967 | lr 0.0000 | time_forward 3.6930 | time_backward 4.4620 |
[2023-10-24 12:04:03,569::train::INFO] [train] Iter 582970 | loss 0.6806 | loss(rot) 0.5975 | loss(pos) 0.0474 | loss(seq) 0.0357 | grad 2.1412 | lr 0.0000 | time_forward 4.7040 | time_backward 5.7710 |
[2023-10-24 12:04:06,717::train::INFO] [train] Iter 582971 | loss 1.4691 | loss(rot) 0.7930 | loss(pos) 0.3250 | loss(seq) 0.3510 | grad 4.7379 | lr 0.0000 | time_forward 1.5880 | time_backward 1.5570 |
[2023-10-24 12:04:15,154::train::INFO] [train] Iter 582972 | loss 0.3595 | loss(rot) 0.2318 | loss(pos) 0.0192 | loss(seq) 0.1084 | grad 3.3994 | lr 0.0000 | time_forward 3.8110 | time_backward 4.6220 |
[2023-10-24 12:04:21,377::train::INFO] [train] Iter 582973 | loss 0.4356 | loss(rot) 0.1247 | loss(pos) 0.0641 | loss(seq) 0.2468 | grad 3.0530 | lr 0.0000 | time_forward 2.8910 | time_backward 3.3290 |
[2023-10-24 12:04:28,949::train::INFO] [train] Iter 582974 | loss 0.1766 | loss(rot) 0.0565 | loss(pos) 0.0213 | loss(seq) 0.0988 | grad 1.5356 | lr 0.0000 | time_forward 3.5340 | time_backward 4.0340 |
[2023-10-24 12:04:35,871::train::INFO] [train] Iter 582975 | loss 0.8134 | loss(rot) 0.7699 | loss(pos) 0.0436 | loss(seq) 0.0000 | grad 13.0926 | lr 0.0000 | time_forward 2.9480 | time_backward 3.9710 |
[2023-10-24 12:04:38,673::train::INFO] [train] Iter 582976 | loss 0.3844 | loss(rot) 0.3661 | loss(pos) 0.0136 | loss(seq) 0.0046 | grad 4.3850 | lr 0.0000 | time_forward 1.3040 | time_backward 1.4950 |
[2023-10-24 12:04:42,007::train::INFO] [train] Iter 582977 | loss 0.7365 | loss(rot) 0.6550 | loss(pos) 0.0495 | loss(seq) 0.0320 | grad 19.7323 | lr 0.0000 | time_forward 1.5090 | time_backward 1.8210 |
[2023-10-24 12:04:52,081::train::INFO] [train] Iter 582978 | loss 1.2919 | loss(rot) 0.9462 | loss(pos) 0.0580 | loss(seq) 0.2877 | grad 4.4916 | lr 0.0000 | time_forward 4.4240 | time_backward 5.6350 |
[2023-10-24 12:04:58,839::train::INFO] [train] Iter 582979 | loss 0.5571 | loss(rot) 0.2956 | loss(pos) 0.0730 | loss(seq) 0.1886 | grad 3.4858 | lr 0.0000 | time_forward 2.8940 | time_backward 3.8480 |
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