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[2023-09-03 02:25:42,809::train::INFO] [train] Iter 16868 | loss 0.9968 | loss(rot) 0.8114 | loss(pos) 0.1189 | loss(seq) 0.0665 | grad 4.6591 | lr 0.0010 | time_forward 1.2330 | time_backward 1.4450 |
[2023-09-03 02:25:52,580::train::INFO] [train] Iter 16869 | loss 0.7968 | loss(rot) 0.1469 | loss(pos) 0.4638 | loss(seq) 0.1861 | grad 4.0546 | lr 0.0010 | time_forward 4.0290 | time_backward 5.7380 |
[2023-09-03 02:26:01,249::train::INFO] [train] Iter 16870 | loss 2.1237 | loss(rot) 0.0272 | loss(pos) 2.0955 | loss(seq) 0.0011 | grad 8.1263 | lr 0.0010 | time_forward 3.7380 | time_backward 4.9260 |
[2023-09-03 02:26:03,965::train::INFO] [train] Iter 16871 | loss 0.7225 | loss(rot) 0.3123 | loss(pos) 0.2895 | loss(seq) 0.1206 | grad 4.3099 | lr 0.0010 | time_forward 1.2620 | time_backward 1.4500 |
[2023-09-03 02:26:11,500::train::INFO] [train] Iter 16872 | loss 1.6237 | loss(rot) 0.7698 | loss(pos) 0.3467 | loss(seq) 0.5072 | grad 6.3305 | lr 0.0010 | time_forward 3.2250 | time_backward 4.3060 |
[2023-09-03 02:26:19,575::train::INFO] [train] Iter 16873 | loss 0.7320 | loss(rot) 0.1010 | loss(pos) 0.1492 | loss(seq) 0.4818 | grad 3.0914 | lr 0.0010 | time_forward 3.4350 | time_backward 4.6370 |
[2023-09-03 02:26:29,683::train::INFO] [train] Iter 16874 | loss 1.8152 | loss(rot) 1.6997 | loss(pos) 0.1155 | loss(seq) 0.0000 | grad 6.1261 | lr 0.0010 | time_forward 4.0630 | time_backward 6.0410 |
[2023-09-03 02:26:32,423::train::INFO] [train] Iter 16875 | loss 1.2485 | loss(rot) 1.1641 | loss(pos) 0.0842 | loss(seq) 0.0001 | grad 5.3289 | lr 0.0010 | time_forward 1.2850 | time_backward 1.4510 |
[2023-09-03 02:26:40,397::train::INFO] [train] Iter 16876 | loss 2.1876 | loss(rot) 1.9891 | loss(pos) 0.1753 | loss(seq) 0.0231 | grad 6.9370 | lr 0.0010 | time_forward 3.2960 | time_backward 4.6750 |
[2023-09-03 02:26:48,484::train::INFO] [train] Iter 16877 | loss 2.4173 | loss(rot) 1.3934 | loss(pos) 0.3808 | loss(seq) 0.6431 | grad 4.9853 | lr 0.0010 | time_forward 3.2600 | time_backward 4.8230 |
[2023-09-03 02:26:56,928::train::INFO] [train] Iter 16878 | loss 0.9825 | loss(rot) 0.8831 | loss(pos) 0.0948 | loss(seq) 0.0047 | grad 5.5279 | lr 0.0010 | time_forward 3.3620 | time_backward 5.0800 |
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