Task 2821280
| Name | rand_automata_0024-1604947857-31819-4_0 |
| Workunit | 1271321 |
| Created | 10 Nov 2020, 20:07:43 UTC |
| Sent | 10 Nov 2020, 20:07:45 UTC |
| Report deadline | 17 Nov 2020, 20:07:45 UTC |
| Received | 10 Nov 2020, 20:32:08 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 574 |
| Run time | 23 min 32 sec |
| CPU time | 22 min 52 sec |
| Validate state | Valid |
| Credit | 959.40 |
| Device peak FLOPS | 1,475.31 GFLOPS |
| Application version | Machine Learning Dataset Generator (test) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 1.41 GB |
| Peak swap size | 3.00 GB |
| Peak disk usage | 1.53 GB |
Stderr output
<core_client_version>7.16.11</core_client_version> <![CDATA[ <stderr_txt> Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: GeForce GTX 750 Ti) [2020-11-10 21:08:42 main:435] : INFO : Set logging level to 1 [2020-11-10 21:08:42 main:441] : INFO : Running in BOINC Client mode [2020-11-10 21:08:42 main:444] : INFO : Resolving all filenames [2020-11-10 21:08:42 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0024-train-val-dataset.hdf5 (exists = 1) [2020-11-10 21:08:42 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0024-1604947857-31819-4_0_r1976775719_1 (exists = 0) [2020-11-10 21:08:42 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0024-1604947857-31819-4_0_r1976775719_0 (exists = 0) [2020-11-10 21:08:43 main:452] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0024-1604947857-31819-4 (exists = 1) [2020-11-10 21:08:43 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-10 21:08:43 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0024-train-val-dataset.hdf5 [2020-11-10 21:08:43 main:474] : INFO : Configuration: [2020-11-10 21:08:43 main:475] : INFO : Model type: LSTM [2020-11-10 21:08:43 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-10 21:08:43 main:477] : INFO : Max Epochs: 192 [2020-11-10 21:08:43 main:478] : INFO : Batch Size: 32 [2020-11-10 21:08:43 main:479] : INFO : Learning Rate: 0.001 [2020-11-10 21:08:43 main:480] : INFO : Patience: 10 [2020-11-10 21:08:43 main:481] : INFO : Hidden Width: 64 [2020-11-10 21:08:43 main:482] : INFO : # Recurrent Layers: 4 [2020-11-10 21:08:43 main:483] : INFO : # Backend Layers: 2 [2020-11-10 21:08:43 main:484] : INFO : # Threads: 1 [2020-11-10 21:08:43 main:486] : INFO : Preparing Dataset [2020-11-10 21:08:43 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0024-train-val-dataset.hdf5 into memory [2020-11-10 21:08:43 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0024-train-val-dataset.hdf5 into memory [2020-11-10 21:08:46 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-10 21:08:46 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0024-train-val-dataset.hdf5 into memory [2020-11-10 21:08:46 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0024-train-val-dataset.hdf5 into memory [2020-11-10 21:08:46 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-10 21:08:46 main:494] : INFO : Creating Model [2020-11-10 21:08:46 main:507] : INFO : Preparing config file [2020-11-10 21:08:46 main:519] : INFO : Creating new config file [2020-11-10 21:08:46 main:538] : INFO : This is a continuation WU, loading previous network [2020-11-10 21:08:48 main:559] : INFO : Loading DataLoader into Memory [2020-11-10 21:08:48 main:562] : INFO : Starting Training [2020-11-10 21:08:56 main:574] : INFO : Epoch 1 | loss: 0.0466444 | val_loss: 0.046234 | Time: 8259.32 ms [2020-11-10 21:09:03 main:574] : INFO : Epoch 2 | loss: 0.0452046 | val_loss: 0.0447685 | Time: 7073.59 ms [2020-11-10 21:09:10 main:574] : INFO : Epoch 3 | loss: 0.0476379 | val_loss: 0.0501175 | Time: 7193.02 ms [2020-11-10 21:09:17 main:574] : INFO : Epoch 4 | loss: 0.0495348 | val_loss: 0.0489985 | Time: 7131.28 ms [2020-11-10 21:09:25 main:574] : INFO : Epoch 5 | loss: 0.0494002 | val_loss: 0.0492058 | Time: 7142.95 ms [2020-11-10 21:09:32 main:574] : INFO : Epoch 6 | loss: 0.0482648 | val_loss: 0.0472805 | Time: 7410.34 ms [2020-11-10 21:09:39 main:574] : INFO : Epoch 7 | loss: 0.0471886 | val_loss: 0.0481018 | Time: 6960.66 ms [2020-11-10 21:09:46 main:574] : INFO : Epoch 8 | loss: 0.0466643 | val_loss: 0.0451009 | Time: 7184.71 ms [2020-11-10 21:09:54 main:574] : INFO : Epoch 9 | loss: 0.0469949 | val_loss: 0.0508298 | Time: 7086.1 ms [2020-11-10 21:10:01 main:574] : INFO : Epoch 10 | loss: 0.0528491 | val_loss: 0.0554733 | Time: 7119.84 ms [2020-11-10 21:10:08 main:574] : INFO : Epoch 11 | loss: 0.0550883 | val_loss: 0.0548114 | Time: 7294.36 ms [2020-11-10 21:10:15 main:574] : INFO : Epoch 12 | loss: 0.0544295 | val_loss: 0.0540989 | Time: 7104.03 ms [2020-11-10 21:10:22 main:574] : INFO : Epoch 13 | loss: 0.0537619 | val_loss: 0.0536561 | Time: 7165.07 ms [2020-11-10 21:10:29 main:574] : INFO : Epoch 14 | loss: 0.0539017 | val_loss: 0.0539037 | Time: 7023.09 ms [2020-11-10 21:10:37 main:574] : INFO : Epoch 15 | loss: 0.0532961 | val_loss: 0.0529582 | Time: 7445.56 ms [2020-11-10 21:10:44 main:574] : INFO : Epoch 16 | loss: 0.0525164 | val_loss: 0.0530438 | Time: 7263.07 ms [2020-11-10 21:10:51 main:574] : INFO : Epoch 17 | loss: 0.0524324 | val_loss: 0.0523648 | Time: 7145.43 ms [2020-11-10 21:10:58 main:574] : INFO : Epoch 18 | loss: 0.052254 | val_loss: 0.052318 | Time: 6814.34 ms [2020-11-10 21:11:06 main:574] : INFO : Epoch 19 | loss: 0.0519199 | val_loss: 0.0516845 | Time: 7507.52 ms [2020-11-10 21:11:13 main:574] : INFO : Epoch 20 | loss: 0.0510867 | val_loss: 0.0505177 | Time: 7297.66 ms [2020-11-10 21:11:21 main:574] : INFO : Epoch 21 | loss: 0.0497469 | val_loss: 0.048993 | Time: 7232.33 ms [2020-11-10 21:11:27 main:574] : INFO : Epoch 22 | loss: 0.047951 | val_loss: 0.0471911 | Time: 6622.53 ms [2020-11-10 21:11:35 main:574] : INFO : Epoch 23 | loss: 0.0542236 | val_loss: 0.0560149 | Time: 7576.53 ms [2020-11-10 21:11:42 main:574] : INFO : Epoch 24 | loss: 0.0553624 | val_loss: 0.0549796 | Time: 7209.08 ms [2020-11-10 21:11:49 main:574] : INFO : Epoch 25 | loss: 0.0543741 | val_loss: 0.0539416 | Time: 7236.44 ms [2020-11-10 21:11:57 main:574] : INFO : Epoch 26 | loss: 0.0533895 | val_loss: 0.0530203 | Time: 7171.2 ms [2020-11-10 21:12:04 main:574] : INFO : Epoch 27 | loss: 0.0523888 | val_loss: 0.0519687 | Time: 7498.03 ms [2020-11-10 21:12:11 main:574] : INFO : Epoch 28 | loss: 0.0512906 | val_loss: 0.0507614 | Time: 7125.73 ms [2020-11-10 21:12:19 main:574] : INFO : Epoch 29 | loss: 0.0500184 | val_loss: 0.0493938 | Time: 7415.79 ms [2020-11-10 21:12:26 main:574] : INFO : Epoch 30 | loss: 0.0483516 | val_loss: 0.0487399 | Time: 7171.87 ms [2020-11-10 21:12:34 main:574] : INFO : Epoch 31 | loss: 0.0490767 | val_loss: 0.0484746 | Time: 7569.53 ms [2020-11-10 21:12:41 main:574] : INFO : Epoch 32 | loss: 0.0477941 | val_loss: 0.0470914 | Time: 6872.65 ms [2020-11-10 21:12:48 main:574] : INFO : Epoch 33 | loss: 0.0469001 | val_loss: 0.0462613 | Time: 7027.27 ms [2020-11-10 21:12:54 main:574] : INFO : Epoch 34 | loss: 0.0452789 | val_loss: 0.0441598 | Time: 6590.9 ms [2020-11-10 21:13:02 main:574] : INFO : Epoch 35 | loss: 0.0439468 | val_loss: 0.0443264 | Time: 7335.23 ms [2020-11-10 21:13:09 main:574] : INFO : Epoch 36 | loss: 0.0434574 | val_loss: 0.0450668 | Time: 7142.38 ms [2020-11-10 21:13:16 main:574] : INFO : Epoch 37 | loss: 0.0470695 | val_loss: 0.0560795 | Time: 7372.94 ms [2020-11-10 21:13:23 main:574] : INFO : Epoch 38 | loss: 0.056035 | val_loss: 0.0556473 | Time: 7174.69 ms [2020-11-10 21:13:30 main:574] : INFO : Epoch 39 | loss: 0.0555668 | val_loss: 0.055254 | Time: 6853.81 ms [2020-11-10 21:13:38 main:574] : INFO : Epoch 40 | loss: 0.0552458 | val_loss: 0.0549851 | Time: 7238.55 ms [2020-11-10 21:13:45 main:574] : INFO : Epoch 41 | loss: 0.0548611 | val_loss: 0.054507 | Time: 6941.77 ms [2020-11-10 21:13:52 main:574] : INFO : Epoch 42 | loss: 0.0543497 | val_loss: 0.0538938 | Time: 7402.74 ms [2020-11-10 21:13:59 main:574] : INFO : Epoch 43 | loss: 0.0538957 | val_loss: 0.0535147 | Time: 7328.07 ms [2020-11-10 21:14:07 main:574] : INFO : Epoch 44 | loss: 0.0534061 | val_loss: 0.0529997 | Time: 7092.25 ms [2020-11-10 21:14:14 main:574] : INFO : Epoch 45 | loss: 0.0528324 | val_loss: 0.0523628 | Time: 7248.73 ms [2020-11-10 21:14:21 main:574] : INFO : Epoch 46 | loss: 0.0522588 | val_loss: 0.0518252 | Time: 7034.1 ms [2020-11-10 21:14:28 main:574] : INFO : Epoch 47 | loss: 0.0516286 | val_loss: 0.0512406 | Time: 7243.87 ms [2020-11-10 21:14:36 main:574] : INFO : Epoch 48 | loss: 0.0511724 | val_loss: 0.0507592 | Time: 7186.22 ms [2020-11-10 21:14:43 main:574] : INFO : Epoch 49 | loss: 0.0504987 | val_loss: 0.0512294 | Time: 7267.08 ms [2020-11-10 21:14:50 main:574] : INFO : Epoch 50 | loss: 0.0510875 | val_loss: 0.0506346 | Time: 6760.67 ms [2020-11-10 21:14:57 main:574] : INFO : Epoch 51 | loss: 0.0502983 | val_loss: 0.0499848 | Time: 7059.87 ms [2020-11-10 21:15:04 main:574] : INFO : Epoch 52 | loss: 0.0497336 | val_loss: 0.0494964 | Time: 6934.84 ms [2020-11-10 21:15:11 main:574] : INFO : Epoch 53 | loss: 0.0497093 | val_loss: 0.049661 | Time: 7593.2 ms [2020-11-10 21:15:19 main:574] : INFO : Epoch 54 | loss: 0.0495336 | val_loss: 0.0501695 | Time: 7348.62 ms [2020-11-10 21:15:26 main:574] : INFO : Epoch 55 | loss: 0.0495862 | val_loss: 0.0489877 | Time: 7117.18 ms [2020-11-10 21:15:33 main:574] : INFO : Epoch 56 | loss: 0.0484843 | val_loss: 0.0482506 | Time: 7350.7 ms [2020-11-10 21:15:40 main:574] : INFO : Epoch 57 | loss: 0.0476254 | val_loss: 0.0470269 | Time: 6880.76 ms [2020-11-10 21:15:47 main:574] : INFO : Epoch 58 | loss: 0.046551 | val_loss: 0.0473514 | Time: 7126.22 ms [2020-11-10 21:15:54 main:574] : INFO : Epoch 59 | loss: 0.046432 | val_loss: 0.0458367 | Time: 6836.02 ms [2020-11-10 21:16:02 main:574] : INFO : Epoch 60 | loss: 0.0449332 | val_loss: 0.0443952 | Time: 7582.53 ms [2020-11-10 21:16:09 main:574] : INFO : Epoch 61 | loss: 0.0447429 | val_loss: 0.0518671 | Time: 7328.89 ms [2020-11-10 21:16:17 main:574] : INFO : Epoch 62 | loss: 0.0528159 | val_loss: 0.0526669 | Time: 7267.59 ms [2020-11-10 21:16:24 main:574] : INFO : Epoch 63 | loss: 0.0522241 | val_loss: 0.0519042 | Time: 6954.07 ms [2020-11-10 21:16:31 main:574] : INFO : Epoch 64 | loss: 0.0511473 | val_loss: 0.0509052 | Time: 7110.5 ms [2020-11-10 21:16:38 main:574] : INFO : Epoch 65 | loss: 0.0502684 | val_loss: 0.0504462 | Time: 7440.53 ms [2020-11-10 21:16:46 main:574] : INFO : Epoch 66 | loss: 0.0502061 | val_loss: 0.0507637 | Time: 7352.32 ms [2020-11-10 21:16:53 main:574] : INFO : Epoch 67 | loss: 0.0506625 | val_loss: 0.0505202 | Time: 7291.85 ms [2020-11-10 21:17:00 main:574] : INFO : Epoch 68 | loss: 0.0501128 | val_loss: 0.0494863 | Time: 6737.9 ms [2020-11-10 21:17:07 main:574] : INFO : Epoch 69 | loss: 0.0500041 | val_loss: 0.0520392 | Time: 6925.51 ms [2020-11-10 21:17:14 main:574] : INFO : Epoch 70 | loss: 0.0516089 | val_loss: 0.0530463 | Time: 7215.85 ms [2020-11-10 21:17:22 main:574] : INFO : Epoch 71 | loss: 0.0537829 | val_loss: 0.0535679 | Time: 7480.5 ms [2020-11-10 21:17:29 main:574] : INFO : Epoch 72 | loss: 0.0532431 | val_loss: 0.0529544 | Time: 7371.76 ms [2020-11-10 21:17:36 main:574] : INFO : Epoch 73 | loss: 0.052864 | val_loss: 0.0526135 | Time: 6929.79 ms [2020-11-10 21:17:43 main:574] : INFO : Epoch 74 | loss: 0.0523121 | val_loss: 0.0519868 | Time: 6937.15 ms [2020-11-10 21:17:50 main:574] : INFO : Epoch 75 | loss: 0.0518835 | val_loss: 0.051649 | Time: 6954.97 ms [2020-11-10 21:17:57 main:574] : INFO : Epoch 76 | loss: 0.0514549 | val_loss: 0.0511172 | Time: 7221.6 ms [2020-11-10 21:18:04 main:574] : INFO : Epoch 77 | loss: 0.0509839 | val_loss: 0.050727 | Time: 6886.69 ms [2020-11-10 21:18:11 main:574] : INFO : Epoch 78 | loss: 0.0502469 | val_loss: 0.0500735 | Time: 7188.19 ms [2020-11-10 21:18:19 main:574] : INFO : Epoch 79 | loss: 0.0496768 | val_loss: 0.0495608 | Time: 7318.07 ms [2020-11-10 21:18:26 main:574] : INFO : Epoch 80 | loss: 0.0493144 | val_loss: 0.049298 | Time: 6858.93 ms [2020-11-10 21:18:33 main:574] : INFO : Epoch 81 | loss: 0.0489749 | val_loss: 0.049006 | Time: 6993.43 ms [2020-11-10 21:18:40 main:574] : INFO : Epoch 82 | loss: 0.048432 | val_loss: 0.0481956 | Time: 7213.79 ms [2020-11-10 21:18:47 main:574] : INFO : Epoch 83 | loss: 0.0490994 | val_loss: 0.0487155 | Time: 7229.43 ms [2020-11-10 21:18:54 main:574] : INFO : Epoch 84 | loss: 0.0479532 | val_loss: 0.0476391 | Time: 7101.12 ms [2020-11-10 21:19:01 main:574] : INFO : Epoch 85 | loss: 0.0465375 | val_loss: 0.0462856 | Time: 6932.02 ms [2020-11-10 21:19:09 main:574] : INFO : Epoch 86 | loss: 0.0452122 | val_loss: 0.0446375 | Time: 7452.17 ms [2020-11-10 21:19:16 main:574] : INFO : Epoch 87 | loss: 0.0438624 | val_loss: 0.0436934 | Time: 7187.18 ms [2020-11-10 21:19:23 main:574] : INFO : Epoch 88 | loss: 0.0442277 | val_loss: 0.044402 | Time: 7070.72 ms [2020-11-10 21:19:30 main:574] : INFO : Epoch 89 | loss: 0.0433436 | val_loss: 0.0468544 | Time: 7047.76 ms [2020-11-10 21:19:37 main:574] : INFO : Epoch 90 | loss: 0.0475368 | val_loss: 0.0479492 | Time: 6969.33 ms [2020-11-10 21:19:45 main:574] : INFO : Epoch 91 | loss: 0.0475685 | val_loss: 0.0458462 | Time: 7220.43 ms [2020-11-10 21:19:52 main:574] : INFO : Epoch 92 | loss: 0.0484241 | val_loss: 0.0484939 | Time: 6808.25 ms [2020-11-10 21:19:59 main:574] : INFO : Epoch 93 | loss: 0.0489647 | val_loss: 0.0509202 | Time: 7046.28 ms [2020-11-10 21:20:06 main:574] : INFO : Epoch 94 | loss: 0.0529821 | val_loss: 0.051922 | Time: 7140.54 ms [2020-11-10 21:20:13 main:574] : INFO : Epoch 95 | loss: 0.051085 | val_loss: 0.0501687 | Time: 7009.74 ms [2020-11-10 21:20:20 main:574] : INFO : Epoch 96 | loss: 0.0493707 | val_loss: 0.0482482 | Time: 6918.02 ms [2020-11-10 21:20:27 main:574] : INFO : Epoch 97 | loss: 0.0477271 | val_loss: 0.0475433 | Time: 7121.51 ms [2020-11-10 21:20:35 main:574] : INFO : Epoch 98 | loss: 0.0463976 | val_loss: 0.0450904 | Time: 7495.44 ms [2020-11-10 21:20:42 main:574] : INFO : Epoch 99 | loss: 0.04434 | val_loss: 0.0441531 | Time: 7288.94 ms [2020-11-10 21:20:49 main:574] : INFO : Epoch 100 | loss: 0.0449321 | val_loss: 0.0441621 | Time: 6910.93 ms [2020-11-10 21:20:56 main:574] : INFO : Epoch 101 | loss: 0.0431943 | val_loss: 0.0437935 | Time: 7417.03 ms [2020-11-10 21:21:03 main:574] : INFO : Epoch 102 | loss: 0.047135 | val_loss: 0.0471052 | Time: 6991.94 ms [2020-11-10 21:21:11 main:574] : INFO : Epoch 103 | loss: 0.0461001 | val_loss: 0.0447666 | Time: 7151.25 ms [2020-11-10 21:21:18 main:574] : INFO : Epoch 104 | loss: 0.0451151 | val_loss: 0.0517831 | Time: 7492.18 ms [2020-11-10 21:21:25 main:574] : INFO : Epoch 105 | loss: 0.0505285 | val_loss: 0.0498507 | Time: 7081.71 ms [2020-11-10 21:21:33 main:574] : INFO : Epoch 106 | loss: 0.0524417 | val_loss: 0.0566997 | Time: 7307.03 ms [2020-11-10 21:21:40 main:574] : INFO : Epoch 107 | loss: 0.0565572 | val_loss: 0.0562855 | Time: 7376.26 ms [2020-11-10 21:21:48 main:574] : INFO : Epoch 108 | loss: 0.0561597 | val_loss: 0.0558648 | Time: 7552.91 ms [2020-11-10 21:21:55 main:574] : INFO : Epoch 109 | loss: 0.0557619 | val_loss: 0.0553859 | Time: 7486.07 ms [2020-11-10 21:22:02 main:574] : INFO : Epoch 110 | loss: 0.0553084 | val_loss: 0.0549555 | Time: 7076.28 ms [2020-11-10 21:22:10 main:574] : INFO : Epoch 111 | loss: 0.0548717 | val_loss: 0.0545048 | Time: 7322.48 ms [2020-11-10 21:22:17 main:574] : INFO : Epoch 112 | loss: 0.0544992 | val_loss: 0.0543666 | Time: 7231.63 ms [2020-11-10 21:22:24 main:574] : INFO : Epoch 113 | loss: 0.0542419 | val_loss: 0.0538694 | Time: 7426 ms [2020-11-10 21:22:31 main:574] : INFO : Epoch 114 | loss: 0.0537529 | val_loss: 0.0533527 | Time: 7058.97 ms [2020-11-10 21:22:39 main:574] : INFO : Epoch 115 | loss: 0.0532732 | val_loss: 0.0528257 | Time: 7521.41 ms [2020-11-10 21:22:46 main:574] : INFO : Epoch 116 | loss: 0.05274 | val_loss: 0.0523651 | Time: 7099.69 ms [2020-11-10 21:22:54 main:574] : INFO : Epoch 117 | loss: 0.0521556 | val_loss: 0.0517445 | Time: 7351.32 ms [2020-11-10 21:23:01 main:574] : INFO : Epoch 118 | loss: 0.051578 | val_loss: 0.0511336 | Time: 7122.74 ms [2020-11-10 21:23:08 main:574] : INFO : Epoch 119 | loss: 0.0508413 | val_loss: 0.0503001 | Time: 7112.23 ms [2020-11-10 21:23:15 main:574] : INFO : Epoch 120 | loss: 0.0501641 | val_loss: 0.0495446 | Time: 7245.46 ms [2020-11-10 21:23:23 main:574] : INFO : Epoch 121 | loss: 0.0494111 | val_loss: 0.0487343 | Time: 7320.64 ms [2020-11-10 21:23:29 main:574] : INFO : Epoch 122 | loss: 0.0484116 | val_loss: 0.0478184 | Time: 6820.94 ms [2020-11-10 21:23:37 main:574] : INFO : Epoch 123 | loss: 0.0474474 | val_loss: 0.0470786 | Time: 7505.85 ms [2020-11-10 21:23:44 main:574] : INFO : Epoch 124 | loss: 0.0474007 | val_loss: 0.0484546 | Time: 7388.18 ms [2020-11-10 21:23:52 main:574] : INFO : Epoch 125 | loss: 0.0482409 | val_loss: 0.0477209 | Time: 7456.77 ms [2020-11-10 21:24:00 main:574] : INFO : Epoch 126 | loss: 0.0471704 | val_loss: 0.0480426 | Time: 7423.71 ms [2020-11-10 21:24:07 main:574] : INFO : Epoch 127 | loss: 0.0476964 | val_loss: 0.0468419 | Time: 7060.72 ms [2020-11-10 21:24:14 main:574] : INFO : Epoch 128 | loss: 0.0467248 | val_loss: 0.0461522 | Time: 6903.37 ms [2020-11-10 21:24:21 main:574] : INFO : Epoch 129 | loss: 0.0463342 | val_loss: 0.0459176 | Time: 7103.43 ms [2020-11-10 21:24:28 main:574] : INFO : Epoch 130 | loss: 0.0452932 | val_loss: 0.0443458 | Time: 6826.77 ms [2020-11-10 21:24:34 main:574] : INFO : Epoch 131 | loss: 0.0472207 | val_loss: 0.0499051 | Time: 6789.11 ms [2020-11-10 21:24:42 main:574] : INFO : Epoch 132 | loss: 0.0505069 | val_loss: 0.0507753 | Time: 7380.42 ms [2020-11-10 21:24:49 main:574] : INFO : Epoch 133 | loss: 0.0505413 | val_loss: 0.0500433 | Time: 6951.45 ms [2020-11-10 21:24:56 main:574] : INFO : Epoch 134 | loss: 0.0504855 | val_loss: 0.0512292 | Time: 6975.55 ms [2020-11-10 21:25:03 main:574] : INFO : Epoch 135 | loss: 0.0510443 | val_loss: 0.0504497 | Time: 7149.62 ms [2020-11-10 21:25:10 main:574] : INFO : Epoch 136 | loss: 0.0501832 | val_loss: 0.0498531 | Time: 7212.2 ms [2020-11-10 21:25:18 main:574] : INFO : Epoch 137 | loss: 0.0498509 | val_loss: 0.0493257 | Time: 7175.93 ms [2020-11-10 21:25:25 main:574] : INFO : Epoch 138 | loss: 0.0490175 | val_loss: 0.0485057 | Time: 7021.7 ms [2020-11-10 21:25:32 main:574] : INFO : Epoch 139 | loss: 0.047856 | val_loss: 0.0472706 | Time: 7125.07 ms [2020-11-10 21:25:39 main:574] : INFO : Epoch 140 | loss: 0.046825 | val_loss: 0.0492943 | Time: 6931.75 ms [2020-11-10 21:25:46 main:574] : INFO : Epoch 141 | loss: 0.0493471 | val_loss: 0.04901 | Time: 6838.89 ms [2020-11-10 21:25:53 main:574] : INFO : Epoch 142 | loss: 0.0485534 | val_loss: 0.0480952 | Time: 7347.74 ms [2020-11-10 21:26:01 main:574] : INFO : Epoch 143 | loss: 0.0475149 | val_loss: 0.0466406 | Time: 7420.38 ms [2020-11-10 21:26:07 main:574] : INFO : Epoch 144 | loss: 0.0461323 | val_loss: 0.0453387 | Time: 6875.94 ms [2020-11-10 21:26:15 main:574] : INFO : Epoch 145 | loss: 0.0443797 | val_loss: 0.0435629 | Time: 7386.15 ms [2020-11-10 21:26:22 main:574] : INFO : Epoch 146 | loss: 0.0432338 | val_loss: 0.0434778 | Time: 7152.28 ms [2020-11-10 21:26:29 main:574] : INFO : Epoch 147 | loss: 0.042961 | val_loss: 0.0432931 | Time: 7267.99 ms [2020-11-10 21:26:37 main:574] : INFO : Epoch 148 | loss: 0.0480826 | val_loss: 0.0499604 | Time: 7297.44 ms [2020-11-10 21:26:44 main:574] : INFO : Epoch 149 | loss: 0.048804 | val_loss: 0.0484174 | Time: 7408.5 ms [2020-11-10 21:26:51 main:574] : INFO : Epoch 150 | loss: 0.0479759 | val_loss: 0.0523559 | Time: 7132 ms [2020-11-10 21:26:59 main:574] : INFO : Epoch 151 | loss: 0.0522241 | val_loss: 0.05204 | Time: 7262.16 ms [2020-11-10 21:27:06 main:574] : INFO : Epoch 152 | loss: 0.051426 | val_loss: 0.0509847 | Time: 6781.22 ms [2020-11-10 21:27:13 main:574] : INFO : Epoch 153 | loss: 0.0502483 | val_loss: 0.0498087 | Time: 7263.12 ms [2020-11-10 21:27:20 main:574] : INFO : Epoch 154 | loss: 0.049322 | val_loss: 0.0490065 | Time: 7438.01 ms [2020-11-10 21:27:28 main:574] : INFO : Epoch 155 | loss: 0.0482147 | val_loss: 0.0477536 | Time: 7190.27 ms [2020-11-10 21:27:35 main:574] : INFO : Epoch 156 | loss: 0.046993 | val_loss: 0.0463842 | Time: 7449.34 ms [2020-11-10 21:27:43 main:574] : INFO : Epoch 157 | loss: 0.0453655 | val_loss: 0.0451964 | Time: 7312.68 ms [2020-11-10 21:27:50 main:574] : INFO : Epoch 158 | loss: 0.049693 | val_loss: 0.0498453 | Time: 6971.96 ms [2020-11-10 21:27:57 main:574] : INFO : Epoch 159 | loss: 0.0511723 | val_loss: 0.0555331 | Time: 7434.33 ms [2020-11-10 21:28:04 main:574] : INFO : Epoch 160 | loss: 0.0552378 | val_loss: 0.0547262 | Time: 7314.2 ms [2020-11-10 21:28:12 main:574] : INFO : Epoch 161 | loss: 0.0544617 | val_loss: 0.0542077 | Time: 7314.67 ms [2020-11-10 21:28:19 main:574] : INFO : Epoch 162 | loss: 0.054079 | val_loss: 0.0539387 | Time: 7460.12 ms [2020-11-10 21:28:27 main:574] : INFO : Epoch 163 | loss: 0.0536307 | val_loss: 0.0534343 | Time: 7336.51 ms [2020-11-10 21:28:34 main:574] : INFO : Epoch 164 | loss: 0.0533367 | val_loss: 0.0534067 | Time: 7153.84 ms [2020-11-10 21:28:41 main:574] : INFO : Epoch 165 | loss: 0.0532224 | val_loss: 0.0533282 | Time: 7133.83 ms [2020-11-10 21:28:48 main:574] : INFO : Epoch 166 | loss: 0.0530284 | val_loss: 0.0530174 | Time: 6795.88 ms [2020-11-10 21:28:55 main:574] : INFO : Epoch 167 | loss: 0.0526467 | val_loss: 0.0526858 | Time: 7212.57 ms [2020-11-10 21:29:02 main:574] : INFO : Epoch 168 | loss: 0.0523642 | val_loss: 0.0530751 | Time: 6950.55 ms [2020-11-10 21:29:09 main:574] : INFO : Epoch 169 | loss: 0.0530437 | val_loss: 0.0529835 | Time: 7049.16 ms [2020-11-10 21:29:16 main:574] : INFO : Epoch 170 | loss: 0.0526797 | val_loss: 0.0526867 | Time: 7088.64 ms [2020-11-10 21:29:24 main:574] : INFO : Epoch 171 | loss: 0.0523179 | val_loss: 0.0522751 | Time: 7092.6 ms [2020-11-10 21:29:31 main:574] : INFO : Epoch 172 | loss: 0.0519744 | val_loss: 0.0519563 | Time: 7205.74 ms [2020-11-10 21:29:38 main:574] : INFO : Epoch 173 | loss: 0.0517052 | val_loss: 0.0515659 | Time: 7380.25 ms [2020-11-10 21:29:45 main:574] : INFO : Epoch 174 | loss: 0.0514528 | val_loss: 0.0513943 | Time: 6978.88 ms [2020-11-10 21:29:52 main:574] : INFO : Epoch 175 | loss: 0.0511547 | val_loss: 0.051075 | Time: 7109.8 ms [2020-11-10 21:30:00 main:574] : INFO : Epoch 176 | loss: 0.0509647 | val_loss: 0.0512266 | Time: 7178.29 ms [2020-11-10 21:30:06 main:574] : INFO : Epoch 177 | loss: 0.0516103 | val_loss: 0.0524976 | Time: 6481.64 ms [2020-11-10 21:30:14 main:574] : INFO : Epoch 178 | loss: 0.0518671 | val_loss: 0.0514272 | Time: 7294.92 ms [2020-11-10 21:30:20 main:574] : INFO : Epoch 179 | loss: 0.051113 | val_loss: 0.0508511 | Time: 6908.57 ms [2020-11-10 21:30:27 main:574] : INFO : Epoch 180 | loss: 0.0505743 | val_loss: 0.0504338 | Time: 6955.92 ms [2020-11-10 21:30:34 main:574] : INFO : Epoch 181 | loss: 0.0500575 | val_loss: 0.0497576 | Time: 6619 ms [2020-11-10 21:30:41 main:574] : INFO : Epoch 182 | loss: 0.0494836 | val_loss: 0.0504573 | Time: 7090.46 ms [2020-11-10 21:30:49 main:574] : INFO : Epoch 183 | loss: 0.0506278 | val_loss: 0.0502088 | Time: 7174.03 ms [2020-11-10 21:30:56 main:574] : INFO : Epoch 184 | loss: 0.0504096 | val_loss: 0.0510884 | Time: 6987.43 ms [2020-11-10 21:31:03 main:574] : INFO : Epoch 185 | loss: 0.0511145 | val_loss: 0.0508097 | Time: 6935.55 ms [2020-11-10 21:31:10 main:574] : INFO : Epoch 186 | loss: 0.0508124 | val_loss: 0.0506155 | Time: 7104.07 ms [2020-11-10 21:31:17 main:574] : INFO : Epoch 187 | loss: 0.0506431 | val_loss: 0.0503948 | Time: 6974.76 ms [2020-11-10 21:31:24 main:574] : INFO : Epoch 188 | loss: 0.0502172 | val_loss: 0.0499102 | Time: 7219.21 ms [2020-11-10 21:31:31 main:574] : INFO : Epoch 189 | loss: 0.0497845 | val_loss: 0.0493479 | Time: 7067.57 ms [2020-11-10 21:31:38 main:574] : INFO : Epoch 190 | loss: 0.0536485 | val_loss: 0.0536183 | Time: 7197.5 ms [2020-11-10 21:31:45 main:574] : INFO : Epoch 191 | loss: 0.0534912 | val_loss: 0.0532445 | Time: 6991.84 ms [2020-11-10 21:31:53 main:574] : INFO : Epoch 192 | loss: 0.0531451 | val_loss: 0.0529031 | Time: 7056.43 ms [2020-11-10 21:31:53 main:597] : INFO : Saving trained model to model-final.pt, val_loss 0.0529031 [2020-11-10 21:31:53 main:603] : INFO : Saving end state to config to file [2020-11-10 21:31:53 main:608] : INFO : Success, exiting.. 21:31:53 (21100): called boinc_finish(0) </stderr_txt> ]]>
©2022 MLC@Home Team
A project of the Cognition, Robotics, and Learning (CORAL) Lab at the University of Maryland, Baltimore County (UMBC)