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[2023-09-01 21:25:31,880::train::INFO] [train] Iter 02482 | loss 3.4971 | loss(rot) 3.1297 | loss(pos) 0.3641 | loss(seq) 0.0033 | grad 3.0114 | lr 0.0010 | time_forward 4.0410 | time_backward 6.0450 |
[2023-09-01 21:25:39,342::train::INFO] [train] Iter 02483 | loss 2.2579 | loss(rot) 1.5428 | loss(pos) 0.3729 | loss(seq) 0.3422 | grad 4.2387 | lr 0.0010 | time_forward 3.1450 | time_backward 4.3140 |
[2023-09-01 21:25:49,467::train::INFO] [train] Iter 02484 | loss 1.6450 | loss(rot) 0.7928 | loss(pos) 0.4376 | loss(seq) 0.4146 | grad 5.3659 | lr 0.0010 | time_forward 4.0980 | time_backward 6.0230 |
[2023-09-01 21:25:52,168::train::INFO] [train] Iter 02485 | loss 3.1266 | loss(rot) 2.3438 | loss(pos) 0.3802 | loss(seq) 0.4027 | grad 4.6160 | lr 0.0010 | time_forward 1.2170 | time_backward 1.4810 |
[2023-09-01 21:26:00,725::train::INFO] [train] Iter 02486 | loss 0.5561 | loss(rot) 0.1235 | loss(pos) 0.4077 | loss(seq) 0.0249 | grad 3.5576 | lr 0.0010 | time_forward 3.5000 | time_backward 5.0540 |
[2023-09-01 21:26:03,457::train::INFO] [train] Iter 02487 | loss 2.7303 | loss(rot) 2.1518 | loss(pos) 0.3305 | loss(seq) 0.2480 | grad 5.2378 | lr 0.0010 | time_forward 1.2740 | time_backward 1.4550 |
[2023-09-01 21:26:12,884::train::INFO] [train] Iter 02488 | loss 2.4412 | loss(rot) 1.2893 | loss(pos) 0.5232 | loss(seq) 0.6287 | grad 6.7249 | lr 0.0010 | time_forward 3.9360 | time_backward 5.3940 |
[2023-09-01 21:26:21,458::train::INFO] [train] Iter 02489 | loss 1.7047 | loss(rot) 0.1000 | loss(pos) 1.6038 | loss(seq) 0.0009 | grad 4.5626 | lr 0.0010 | time_forward 3.5500 | time_backward 5.0210 |
[2023-09-01 21:26:31,589::train::INFO] [train] Iter 02490 | loss 1.6503 | loss(rot) 0.7885 | loss(pos) 0.4114 | loss(seq) 0.4504 | grad 2.9973 | lr 0.0010 | time_forward 4.1640 | time_backward 5.9650 |
[2023-09-01 21:26:40,361::train::INFO] [train] Iter 02491 | loss 2.4099 | loss(rot) 1.4393 | loss(pos) 0.3970 | loss(seq) 0.5735 | grad 5.5178 | lr 0.0010 | time_forward 3.2330 | time_backward 5.5350 |
[2023-09-01 21:26:51,583::train::INFO] [train] Iter 02492 | loss 2.1121 | loss(rot) 1.4976 | loss(pos) 0.4207 | loss(seq) 0.1938 | grad 6.6611 | lr 0.0010 | time_forward 4.6140 | time_backward 6.6050 |
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