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[2023-09-02 20:14:46,193::train::INFO] [train] Iter 13872 | loss 2.1809 | loss(rot) 2.0440 | loss(pos) 0.1369 | loss(seq) 0.0000 | grad 12.0489 | lr 0.0010 | time_forward 1.1240 | time_backward 1.2990 |
[2023-09-02 20:14:57,120::train::INFO] [train] Iter 13873 | loss 2.2089 | loss(rot) 1.8453 | loss(pos) 0.1183 | loss(seq) 0.2453 | grad 6.1898 | lr 0.0010 | time_forward 4.4250 | time_backward 6.4990 |
[2023-09-02 20:15:06,720::train::INFO] [train] Iter 13874 | loss 0.8445 | loss(rot) 0.6347 | loss(pos) 0.0962 | loss(seq) 0.1136 | grad 4.5443 | lr 0.0010 | time_forward 3.9110 | time_backward 5.6700 |
[2023-09-02 20:15:09,664::train::INFO] [train] Iter 13875 | loss 0.7125 | loss(rot) 0.2238 | loss(pos) 0.3248 | loss(seq) 0.1639 | grad 4.5179 | lr 0.0010 | time_forward 1.3690 | time_backward 1.5700 |
[2023-09-02 20:15:12,665::train::INFO] [train] Iter 13876 | loss 4.3305 | loss(rot) 2.5604 | loss(pos) 1.7681 | loss(seq) 0.0020 | grad 13.4367 | lr 0.0010 | time_forward 1.4230 | time_backward 1.5750 |
[2023-09-02 20:15:17,148::train::INFO] [train] Iter 13877 | loss 1.0203 | loss(rot) 0.3110 | loss(pos) 0.3057 | loss(seq) 0.4037 | grad 3.9945 | lr 0.0010 | time_forward 1.9160 | time_backward 2.5630 |
[2023-09-02 20:15:25,399::train::INFO] [train] Iter 13878 | loss 1.0066 | loss(rot) 0.3791 | loss(pos) 0.1794 | loss(seq) 0.4481 | grad 4.8291 | lr 0.0010 | time_forward 3.5290 | time_backward 4.7180 |
[2023-09-02 20:15:35,413::train::INFO] [train] Iter 13879 | loss 1.9285 | loss(rot) 1.3785 | loss(pos) 0.2216 | loss(seq) 0.3284 | grad 4.3837 | lr 0.0010 | time_forward 3.8450 | time_backward 6.1660 |
[2023-09-02 20:15:38,162::train::INFO] [train] Iter 13880 | loss 1.7692 | loss(rot) 1.0781 | loss(pos) 0.5852 | loss(seq) 0.1059 | grad 5.8491 | lr 0.0010 | time_forward 1.2850 | time_backward 1.4600 |
[2023-09-02 20:15:46,497::train::INFO] [train] Iter 13881 | loss 2.9399 | loss(rot) 2.7202 | loss(pos) 0.1657 | loss(seq) 0.0541 | grad 4.8673 | lr 0.0010 | time_forward 3.5930 | time_backward 4.7400 |
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