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[2023-10-24 11:07:27,409::train::INFO] [train] Iter 582469 | loss 0.6156 | loss(rot) 0.5036 | loss(pos) 0.0140 | loss(seq) 0.0980 | grad 8.1124 | lr 0.0000 | time_forward 3.7470 | time_backward 5.6970 |
[2023-10-24 11:07:35,803::train::INFO] [train] Iter 582470 | loss 0.1047 | loss(rot) 0.0598 | loss(pos) 0.0176 | loss(seq) 0.0272 | grad 1.4423 | lr 0.0000 | time_forward 3.5750 | time_backward 4.8150 |
[2023-10-24 11:07:38,615::train::INFO] [train] Iter 582471 | loss 0.2062 | loss(rot) 0.0919 | loss(pos) 0.0199 | loss(seq) 0.0943 | grad 1.3735 | lr 0.0000 | time_forward 1.3380 | time_backward 1.4710 |
[2023-10-24 11:07:41,472::train::INFO] [train] Iter 582472 | loss 1.5208 | loss(rot) 1.2243 | loss(pos) 0.0377 | loss(seq) 0.2588 | grad 4.8156 | lr 0.0000 | time_forward 1.3420 | time_backward 1.4710 |
[2023-10-24 11:07:49,494::train::INFO] [train] Iter 582473 | loss 2.6547 | loss(rot) 1.5506 | loss(pos) 0.4650 | loss(seq) 0.6390 | grad 10.4240 | lr 0.0000 | time_forward 3.3880 | time_backward 4.6300 |
[2023-10-24 11:07:51,981::train::INFO] [train] Iter 582474 | loss 0.5403 | loss(rot) 0.0643 | loss(pos) 0.4697 | loss(seq) 0.0063 | grad 8.8019 | lr 0.0000 | time_forward 1.1960 | time_backward 1.2880 |
[2023-10-24 11:08:02,009::train::INFO] [train] Iter 582475 | loss 0.4151 | loss(rot) 0.0820 | loss(pos) 0.1153 | loss(seq) 0.2178 | grad 2.4528 | lr 0.0000 | time_forward 4.0660 | time_backward 5.9360 |
[2023-10-24 11:08:11,912::train::INFO] [train] Iter 582476 | loss 0.3857 | loss(rot) 0.1783 | loss(pos) 0.1606 | loss(seq) 0.0468 | grad 4.4503 | lr 0.0000 | time_forward 3.9430 | time_backward 5.9560 |
[2023-10-24 11:08:20,039::train::INFO] [train] Iter 582477 | loss 0.4185 | loss(rot) 0.1285 | loss(pos) 0.0247 | loss(seq) 0.2652 | grad 1.9436 | lr 0.0000 | time_forward 3.4000 | time_backward 4.7230 |
[2023-10-24 11:08:29,315::train::INFO] [train] Iter 582478 | loss 0.8690 | loss(rot) 0.4319 | loss(pos) 0.1963 | loss(seq) 0.2408 | grad 5.9248 | lr 0.0000 | time_forward 3.8840 | time_backward 5.3890 |
[2023-10-24 11:08:39,261::train::INFO] [train] Iter 582479 | loss 0.3812 | loss(rot) 0.1000 | loss(pos) 0.0683 | loss(seq) 0.2130 | grad 3.2770 | lr 0.0000 | time_forward 4.0040 | time_backward 5.9390 |
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