| Name | rand_automata_0021-1604984815-32620-0_1 |
| Workunit | 1264370 |
| Created | 10 Nov 2020, 5:35:14 UTC |
| Sent | 10 Nov 2020, 6:02:35 UTC |
| Report deadline | 11 Nov 2020, 4:32:35 UTC |
| Received | 10 Nov 2020, 20:15:07 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 563 |
| Run time | 23 min 15 sec |
| CPU time | 22 min 41 sec |
| Validate state | Valid |
| Credit | 959.40 |
| Device peak FLOPS | 5,442.60 GFLOPS |
| Application version | Machine Learning Dataset Generator (test) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 1.95 GB |
| Peak swap size | 3.89 GB |
| Peak disk usage | 1.54 GB |
<core_client_version>7.16.5</core_client_version> <![CDATA[ <stderr_txt> Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: GeForce GTX 1660 Ti) [2020-11-10 20:51:51 main:435] : INFO : Set logging level to 1 [2020-11-10 20:51:51 main:441] : INFO : Running in BOINC Client mode [2020-11-10 20:51:51 main:444] : INFO : Resolving all filenames [2020-11-10 20:51:51 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0021-train-val-dataset.hdf5 (exists = 1) [2020-11-10 20:51:51 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0021-1604984815-32620-0_1_r1685441020_1 (exists = 0) [2020-11-10 20:51:51 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0021-1604984815-32620-0_1_r1685441020_0 (exists = 0) [2020-11-10 20:51:51 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-10 20:51:51 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-10 20:51:51 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0021-train-val-dataset.hdf5 [2020-11-10 20:51:51 main:474] : INFO : Configuration: [2020-11-10 20:51:52 main:475] : INFO : Model type: LSTM [2020-11-10 20:51:52 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-10 20:51:52 main:477] : INFO : Max Epochs: 192 [2020-11-10 20:51:52 main:478] : INFO : Batch Size: 32 [2020-11-10 20:51:52 main:479] : INFO : Learning Rate: 0.001 [2020-11-10 20:51:52 main:480] : INFO : Patience: 10 [2020-11-10 20:51:52 main:481] : INFO : Hidden Width: 64 [2020-11-10 20:51:52 main:482] : INFO : # Recurrent Layers: 4 [2020-11-10 20:51:52 main:483] : INFO : # Backend Layers: 2 [2020-11-10 20:51:52 main:484] : INFO : # Threads: 1 [2020-11-10 20:51:52 main:486] : INFO : Preparing Dataset [2020-11-10 20:51:52 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0021-train-val-dataset.hdf5 into memory [2020-11-10 20:51:52 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0021-train-val-dataset.hdf5 into memory [2020-11-10 20:51:54 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-10 20:51:54 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0021-train-val-dataset.hdf5 into memory [2020-11-10 20:51:54 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0021-train-val-dataset.hdf5 into memory [2020-11-10 20:51:54 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-10 20:51:54 main:494] : INFO : Creating Model [2020-11-10 20:51:54 main:507] : INFO : Preparing config file [2020-11-10 20:51:54 main:519] : INFO : Creating new config file [2020-11-10 20:51:56 main:559] : INFO : Loading DataLoader into Memory [2020-11-10 20:51:56 main:562] : INFO : Starting Training [2020-11-10 20:52:03 main:574] : INFO : Epoch 1 | loss: 0.0664265 | val_loss: 0.0659152 | Time: 7427.48 ms [2020-11-10 20:52:10 main:574] : INFO : Epoch 2 | loss: 0.0657974 | val_loss: 0.0649846 | Time: 6998.89 ms [2020-11-10 20:52:17 main:574] : INFO : Epoch 3 | loss: 0.0638583 | val_loss: 0.0621298 | Time: 6861.58 ms [2020-11-10 20:52:24 main:574] : INFO : Epoch 4 | loss: 0.0604852 | val_loss: 0.0590982 | Time: 7063.15 ms [2020-11-10 20:52:31 main:574] : INFO : Epoch 5 | loss: 0.0580884 | val_loss: 0.0572452 | Time: 7183.8 ms [2020-11-10 20:52:39 main:574] : INFO : Epoch 6 | loss: 0.0565669 | val_loss: 0.0559619 | Time: 7058 ms [2020-11-10 20:52:46 main:574] : INFO : Epoch 7 | loss: 0.0553267 | val_loss: 0.054784 | Time: 7027.28 ms [2020-11-10 20:52:53 main:574] : INFO : Epoch 8 | loss: 0.0541844 | val_loss: 0.0537888 | Time: 7062.1 ms [2020-11-10 20:53:00 main:574] : INFO : Epoch 9 | loss: 0.0530099 | val_loss: 0.0524983 | Time: 7272.72 ms [2020-11-10 20:53:07 main:574] : INFO : Epoch 10 | loss: 0.0517038 | val_loss: 0.0510986 | Time: 7242.68 ms [2020-11-10 20:53:15 main:574] : INFO : Epoch 11 | loss: 0.0502393 | val_loss: 0.0496707 | Time: 7120.78 ms [2020-11-10 20:53:22 main:574] : INFO : Epoch 12 | loss: 0.0485854 | val_loss: 0.0479283 | Time: 7184.13 ms [2020-11-10 20:53:29 main:574] : INFO : Epoch 13 | loss: 0.0465806 | val_loss: 0.0457598 | Time: 6888.83 ms [2020-11-10 20:53:36 main:574] : INFO : Epoch 14 | loss: 0.0442889 | val_loss: 0.044247 | Time: 6998.06 ms [2020-11-10 20:53:43 main:574] : INFO : Epoch 15 | loss: 0.0416102 | val_loss: 0.0412045 | Time: 6988.31 ms [2020-11-10 20:53:50 main:574] : INFO : Epoch 16 | loss: 0.0386893 | val_loss: 0.038124 | Time: 6979.14 ms [2020-11-10 20:53:57 main:574] : INFO : Epoch 17 | loss: 0.0357481 | val_loss: 0.0351135 | Time: 7007.02 ms [2020-11-10 20:54:04 main:574] : INFO : Epoch 18 | loss: 0.0329309 | val_loss: 0.0317137 | Time: 7009 ms [2020-11-10 20:54:11 main:574] : INFO : Epoch 19 | loss: 0.0306293 | val_loss: 0.0291037 | Time: 7124.53 ms [2020-11-10 20:54:19 main:574] : INFO : Epoch 20 | loss: 0.0341773 | val_loss: 0.0623164 | Time: 7078.32 ms [2020-11-10 20:54:26 main:574] : INFO : Epoch 21 | loss: 0.0591125 | val_loss: 0.0565773 | Time: 7042.75 ms [2020-11-10 20:54:33 main:574] : INFO : Epoch 22 | loss: 0.0530217 | val_loss: 0.04863 | Time: 7218.48 ms [2020-11-10 20:54:40 main:574] : INFO : Epoch 23 | loss: 0.0387276 | val_loss: 0.029889 | Time: 7134.76 ms [2020-11-10 20:54:47 main:574] : INFO : Epoch 24 | loss: 0.0270862 | val_loss: 0.028738 | Time: 7092.38 ms [2020-11-10 20:54:55 main:574] : INFO : Epoch 25 | loss: 0.0278677 | val_loss: 0.0234472 | Time: 7197.95 ms [2020-11-10 20:55:02 main:574] : INFO : Epoch 26 | loss: 0.0221472 | val_loss: 0.0265555 | Time: 7009.71 ms [2020-11-10 20:55:09 main:574] : INFO : Epoch 27 | loss: 0.0203147 | val_loss: 0.0198234 | Time: 7096.11 ms [2020-11-10 20:55:16 main:574] : INFO : Epoch 28 | loss: 0.0162643 | val_loss: 0.0283718 | Time: 7166.93 ms [2020-11-10 20:55:23 main:574] : INFO : Epoch 29 | loss: 0.0190561 | val_loss: 0.0161437 | Time: 7116.24 ms [2020-11-10 20:55:30 main:574] : INFO : Epoch 30 | loss: 0.0167645 | val_loss: 0.031435 | Time: 7061.96 ms [2020-11-10 20:55:38 main:574] : INFO : Epoch 31 | loss: 0.0537459 | val_loss: 0.0575545 | Time: 7126.39 ms [2020-11-10 20:55:45 main:574] : INFO : Epoch 32 | loss: 0.0536391 | val_loss: 0.0487717 | Time: 7114.6 ms [2020-11-10 20:55:52 main:574] : INFO : Epoch 33 | loss: 0.0371327 | val_loss: 0.023308 | Time: 7070.92 ms [2020-11-10 20:55:59 main:574] : INFO : Epoch 34 | loss: 0.0222082 | val_loss: 0.018493 | Time: 7035.18 ms [2020-11-10 20:56:06 main:574] : INFO : Epoch 35 | loss: 0.0178728 | val_loss: 0.0235864 | Time: 7024.05 ms [2020-11-10 20:56:13 main:574] : INFO : Epoch 36 | loss: 0.0242186 | val_loss: 0.0295198 | Time: 7132.83 ms [2020-11-10 20:56:20 main:574] : INFO : Epoch 37 | loss: 0.0211858 | val_loss: 0.0477646 | Time: 7035.42 ms [2020-11-10 20:56:28 main:574] : INFO : Epoch 38 | loss: 0.061468 | val_loss: 0.0596744 | Time: 7176.24 ms [2020-11-10 20:56:35 main:574] : INFO : Epoch 39 | loss: 0.0582217 | val_loss: 0.056651 | Time: 7107.67 ms [2020-11-10 20:56:42 main:574] : INFO : Epoch 40 | loss: 0.0543641 | val_loss: 0.0518592 | Time: 7141.12 ms [2020-11-10 20:56:49 main:574] : INFO : Epoch 41 | loss: 0.0477134 | val_loss: 0.0431027 | Time: 7086.86 ms [2020-11-10 20:56:56 main:574] : INFO : Epoch 42 | loss: 0.0356536 | val_loss: 0.0284882 | Time: 7018.1 ms [2020-11-10 20:57:03 main:574] : INFO : Epoch 43 | loss: 0.0253202 | val_loss: 0.0217707 | Time: 6936.15 ms [2020-11-10 20:57:10 main:574] : INFO : Epoch 44 | loss: 0.0178314 | val_loss: 0.0143262 | Time: 7032.73 ms [2020-11-10 20:57:17 main:574] : INFO : Epoch 45 | loss: 0.013785 | val_loss: 0.0124586 | Time: 7128.94 ms [2020-11-10 20:57:25 main:574] : INFO : Epoch 46 | loss: 0.0116358 | val_loss: 0.0107588 | Time: 7115.22 ms [2020-11-10 20:57:32 main:574] : INFO : Epoch 47 | loss: 0.0117541 | val_loss: 0.0164974 | Time: 7270.33 ms [2020-11-10 20:57:39 main:574] : INFO : Epoch 48 | loss: 0.014672 | val_loss: 0.0104857 | Time: 7150.14 ms [2020-11-10 20:57:46 main:574] : INFO : Epoch 49 | loss: 0.00966228 | val_loss: 0.00942359 | Time: 7038.25 ms [2020-11-10 20:57:53 main:574] : INFO : Epoch 50 | loss: 0.0113231 | val_loss: 0.0114417 | Time: 7124.93 ms [2020-11-10 20:58:01 main:574] : INFO : Epoch 51 | loss: 0.00929781 | val_loss: 0.00901131 | Time: 7123.13 ms [2020-11-10 20:58:08 main:574] : INFO : Epoch 52 | loss: 0.00820627 | val_loss: 0.00823405 | Time: 7115.51 ms [2020-11-10 20:58:15 main:574] : INFO : Epoch 53 | loss: 0.00777792 | val_loss: 0.00779665 | Time: 7162.98 ms [2020-11-10 20:58:22 main:574] : INFO : Epoch 54 | loss: 0.00762794 | val_loss: 0.00766818 | Time: 7056.04 ms [2020-11-10 20:58:29 main:574] : INFO : Epoch 55 | loss: 0.00731164 | val_loss: 0.00725342 | Time: 6965.81 ms [2020-11-10 20:58:36 main:574] : INFO : Epoch 56 | loss: 0.00691261 | val_loss: 0.00698819 | Time: 7105.63 ms [2020-11-10 20:58:43 main:574] : INFO : Epoch 57 | loss: 0.00668068 | val_loss: 0.00675536 | Time: 7072.45 ms [2020-11-10 20:58:51 main:574] : INFO : Epoch 58 | loss: 0.00653248 | val_loss: 0.00656731 | Time: 7286.83 ms [2020-11-10 20:58:58 main:574] : INFO : Epoch 59 | loss: 0.00628685 | val_loss: 0.00635341 | Time: 7021.59 ms [2020-11-10 20:59:05 main:574] : INFO : Epoch 60 | loss: 0.00609511 | val_loss: 0.00617429 | Time: 7024.99 ms [2020-11-10 20:59:12 main:574] : INFO : Epoch 61 | loss: 0.00591199 | val_loss: 0.00598641 | Time: 7053.07 ms [2020-11-10 20:59:19 main:574] : INFO : Epoch 62 | loss: 0.00573732 | val_loss: 0.00580608 | Time: 7142.27 ms [2020-11-10 20:59:26 main:574] : INFO : Epoch 63 | loss: 0.00556499 | val_loss: 0.00560207 | Time: 7070.12 ms [2020-11-10 20:59:33 main:574] : INFO : Epoch 64 | loss: 0.00539831 | val_loss: 0.00543593 | Time: 7014.7 ms [2020-11-10 20:59:40 main:574] : INFO : Epoch 65 | loss: 0.00523506 | val_loss: 0.00527236 | Time: 7040.64 ms [2020-11-10 20:59:47 main:574] : INFO : Epoch 66 | loss: 0.00507285 | val_loss: 0.00509935 | Time: 7057.14 ms [2020-11-10 20:59:54 main:574] : INFO : Epoch 67 | loss: 0.00491061 | val_loss: 0.00493989 | Time: 7031.67 ms [2020-11-10 21:00:02 main:574] : INFO : Epoch 68 | loss: 0.00476164 | val_loss: 0.00478138 | Time: 7142.54 ms [2020-11-10 21:00:09 main:574] : INFO : Epoch 69 | loss: 0.00459491 | val_loss: 0.00461794 | Time: 6963.77 ms [2020-11-10 21:00:16 main:574] : INFO : Epoch 70 | loss: 0.00444045 | val_loss: 0.00445609 | Time: 7048.8 ms [2020-11-10 21:00:23 main:574] : INFO : Epoch 71 | loss: 0.00428883 | val_loss: 0.00429379 | Time: 7007.1 ms [2020-11-10 21:00:30 main:574] : INFO : Epoch 72 | loss: 0.00414024 | val_loss: 0.00414445 | Time: 7094.84 ms [2020-11-10 21:00:37 main:574] : INFO : Epoch 73 | loss: 0.00399374 | val_loss: 0.00399351 | Time: 7085.39 ms [2020-11-10 21:00:44 main:574] : INFO : Epoch 74 | loss: 0.00384945 | val_loss: 0.00384263 | Time: 6991.53 ms [2020-11-10 21:00:51 main:574] : INFO : Epoch 75 | loss: 0.00370711 | val_loss: 0.00370516 | Time: 7150.68 ms [2020-11-10 21:00:58 main:574] : INFO : Epoch 76 | loss: 0.00356644 | val_loss: 0.00356378 | Time: 7067.41 ms [2020-11-10 21:01:05 main:574] : INFO : Epoch 77 | loss: 0.00342873 | val_loss: 0.00342108 | Time: 7027.22 ms [2020-11-10 21:01:12 main:574] : INFO : Epoch 78 | loss: 0.00329585 | val_loss: 0.00328688 | Time: 7056.64 ms [2020-11-10 21:01:20 main:574] : INFO : Epoch 79 | loss: 0.00316307 | val_loss: 0.00315216 | Time: 7081.33 ms [2020-11-10 21:01:27 main:574] : INFO : Epoch 80 | loss: 0.0030341 | val_loss: 0.00302131 | Time: 6977.64 ms [2020-11-10 21:01:34 main:574] : INFO : Epoch 81 | loss: 0.0029077 | val_loss: 0.00289562 | Time: 7107.62 ms [2020-11-10 21:01:41 main:574] : INFO : Epoch 82 | loss: 0.00278413 | val_loss: 0.0027711 | Time: 7100.28 ms [2020-11-10 21:01:48 main:574] : INFO : Epoch 83 | loss: 0.00266503 | val_loss: 0.00265096 | Time: 6928.42 ms [2020-11-10 21:01:55 main:574] : INFO : Epoch 84 | loss: 0.00254944 | val_loss: 0.00253588 | Time: 6998.88 ms [2020-11-10 21:02:02 main:574] : INFO : Epoch 85 | loss: 0.00243625 | val_loss: 0.00242223 | Time: 7121.85 ms [2020-11-10 21:02:09 main:574] : INFO : Epoch 86 | loss: 0.00232653 | val_loss: 0.00231256 | Time: 7076.02 ms [2020-11-10 21:02:16 main:574] : INFO : Epoch 87 | loss: 0.00222044 | val_loss: 0.00220257 | Time: 7171.42 ms [2020-11-10 21:02:23 main:574] : INFO : Epoch 88 | loss: 0.00211701 | val_loss: 0.00210049 | Time: 7064.82 ms [2020-11-10 21:02:30 main:574] : INFO : Epoch 89 | loss: 0.00201836 | val_loss: 0.00200335 | Time: 7025.23 ms [2020-11-10 21:02:38 main:574] : INFO : Epoch 90 | loss: 0.00192198 | val_loss: 0.00190421 | Time: 7093.49 ms [2020-11-10 21:02:45 main:574] : INFO : Epoch 91 | loss: 0.00182927 | val_loss: 0.00180983 | Time: 7070.25 ms [2020-11-10 21:02:52 main:574] : INFO : Epoch 92 | loss: 0.00174036 | val_loss: 0.00172275 | Time: 7042.65 ms [2020-11-10 21:02:59 main:574] : INFO : Epoch 93 | loss: 0.00165514 | val_loss: 0.0016364 | Time: 7103.71 ms [2020-11-10 21:03:06 main:574] : INFO : Epoch 94 | loss: 0.00157199 | val_loss: 0.00155683 | Time: 7056.19 ms [2020-11-10 21:03:13 main:574] : INFO : Epoch 95 | loss: 0.00149331 | val_loss: 0.00147537 | Time: 7003.28 ms [2020-11-10 21:03:20 main:574] : INFO : Epoch 96 | loss: 0.00141717 | val_loss: 0.00139956 | Time: 7096.44 ms [2020-11-10 21:03:27 main:574] : INFO : Epoch 97 | loss: 0.00134503 | val_loss: 0.00133035 | Time: 7141.96 ms [2020-11-10 21:03:35 main:574] : INFO : Epoch 98 | loss: 0.00127624 | val_loss: 0.00125951 | Time: 7115.05 ms [2020-11-10 21:03:42 main:574] : INFO : Epoch 99 | loss: 0.00120996 | val_loss: 0.00119704 | Time: 7100.26 ms [2020-11-10 21:03:49 main:574] : INFO : Epoch 100 | loss: 0.00114804 | val_loss: 0.00113444 | Time: 7101.88 ms [2020-11-10 21:03:56 main:574] : INFO : Epoch 101 | loss: 0.00108779 | val_loss: 0.00107385 | Time: 7081.43 ms [2020-11-10 21:04:03 main:574] : INFO : Epoch 102 | loss: 0.00103101 | val_loss: 0.00101849 | Time: 7098.79 ms [2020-11-10 21:04:10 main:574] : INFO : Epoch 103 | loss: 0.000977591 | val_loss: 0.000964835 | Time: 7113.57 ms [2020-11-10 21:04:17 main:574] : INFO : Epoch 104 | loss: 0.000926589 | val_loss: 0.000917056 | Time: 7080.51 ms [2020-11-10 21:04:25 main:574] : INFO : Epoch 105 | loss: 0.000877673 | val_loss: 0.000867282 | Time: 7163.77 ms [2020-11-10 21:04:32 main:574] : INFO : Epoch 106 | loss: 0.000831988 | val_loss: 0.000824258 | Time: 7138.3 ms [2020-11-10 21:04:39 main:574] : INFO : Epoch 107 | loss: 0.00078848 | val_loss: 0.000779454 | Time: 7103.84 ms [2020-11-10 21:04:46 main:574] : INFO : Epoch 108 | loss: 0.000747197 | val_loss: 0.000740342 | Time: 7030.71 ms [2020-11-10 21:04:53 main:574] : INFO : Epoch 109 | loss: 0.000708058 | val_loss: 0.000698327 | Time: 7006.43 ms [2020-11-10 21:05:00 main:574] : INFO : Epoch 110 | loss: 0.000671415 | val_loss: 0.000664924 | Time: 7053 ms [2020-11-10 21:05:07 main:574] : INFO : Epoch 111 | loss: 0.000636481 | val_loss: 0.000630408 | Time: 7081.14 ms [2020-11-10 21:05:15 main:574] : INFO : Epoch 112 | loss: 0.000603759 | val_loss: 0.000597475 | Time: 7092.07 ms [2020-11-10 21:05:22 main:574] : INFO : Epoch 113 | loss: 0.00057272 | val_loss: 0.000567176 | Time: 6997.05 ms [2020-11-10 21:05:29 main:574] : INFO : Epoch 114 | loss: 0.000544008 | val_loss: 0.000538724 | Time: 7159.3 ms [2020-11-10 21:05:36 main:574] : INFO : Epoch 115 | loss: 0.000516461 | val_loss: 0.000509943 | Time: 7095.35 ms [2020-11-10 21:05:43 main:574] : INFO : Epoch 116 | loss: 0.000490487 | val_loss: 0.000486618 | Time: 7187.27 ms [2020-11-10 21:05:50 main:574] : INFO : Epoch 117 | loss: 0.000465115 | val_loss: 0.000461038 | Time: 7188.03 ms [2020-11-10 21:05:58 main:574] : INFO : Epoch 118 | loss: 0.00044172 | val_loss: 0.000435804 | Time: 7137.37 ms [2020-11-10 21:06:05 main:574] : INFO : Epoch 119 | loss: 0.000420165 | val_loss: 0.00041624 | Time: 7046.22 ms [2020-11-10 21:06:12 main:574] : INFO : Epoch 120 | loss: 0.000399318 | val_loss: 0.000395782 | Time: 7186.31 ms [2020-11-10 21:06:19 main:574] : INFO : Epoch 121 | loss: 0.000379573 | val_loss: 0.000375651 | Time: 7147.27 ms [2020-11-10 21:06:26 main:574] : INFO : Epoch 122 | loss: 0.000360317 | val_loss: 0.000359957 | Time: 7193.05 ms [2020-11-10 21:06:34 main:574] : INFO : Epoch 123 | loss: 0.000343619 | val_loss: 0.000340546 | Time: 7129.53 ms [2020-11-10 21:06:41 main:574] : INFO : Epoch 124 | loss: 0.000326097 | val_loss: 0.00032215 | Time: 7165.77 ms [2020-11-10 21:06:48 main:574] : INFO : Epoch 125 | loss: 0.000310107 | val_loss: 0.000307024 | Time: 7076.06 ms [2020-11-10 21:06:55 main:574] : INFO : Epoch 126 | loss: 0.000295074 | val_loss: 0.000294179 | Time: 6983.38 ms [2020-11-10 21:07:02 main:574] : INFO : Epoch 127 | loss: 0.000280394 | val_loss: 0.000278864 | Time: 7099.39 ms [2020-11-10 21:07:09 main:574] : INFO : Epoch 128 | loss: 0.000267056 | val_loss: 0.000267224 | Time: 7118.9 ms [2020-11-10 21:07:17 main:574] : INFO : Epoch 129 | loss: 0.000254405 | val_loss: 0.000253953 | Time: 7055.13 ms [2020-11-10 21:07:24 main:574] : INFO : Epoch 130 | loss: 0.000242911 | val_loss: 0.000238956 | Time: 7085.95 ms [2020-11-10 21:07:31 main:574] : INFO : Epoch 131 | loss: 0.00023152 | val_loss: 0.000229078 | Time: 7076.69 ms [2020-11-10 21:07:38 main:574] : INFO : Epoch 132 | loss: 0.000220446 | val_loss: 0.000219069 | Time: 7269.86 ms [2020-11-10 21:07:45 main:574] : INFO : Epoch 133 | loss: 0.000209748 | val_loss: 0.000207595 | Time: 7211.79 ms [2020-11-10 21:07:53 main:574] : INFO : Epoch 134 | loss: 0.000200422 | val_loss: 0.000198679 | Time: 7072.04 ms [2020-11-10 21:08:00 main:574] : INFO : Epoch 135 | loss: 0.000191053 | val_loss: 0.000193012 | Time: 7100.79 ms [2020-11-10 21:08:07 main:574] : INFO : Epoch 136 | loss: 0.000183016 | val_loss: 0.000181258 | Time: 7173.15 ms [2020-11-10 21:08:14 main:574] : INFO : Epoch 137 | loss: 0.000173378 | val_loss: 0.000174004 | Time: 7188.5 ms [2020-11-10 21:08:21 main:574] : INFO : Epoch 138 | loss: 0.0001661 | val_loss: 0.0001669 | Time: 7159.83 ms [2020-11-10 21:08:29 main:574] : INFO : Epoch 139 | loss: 0.000158822 | val_loss: 0.000157857 | Time: 7259.4 ms [2020-11-10 21:08:36 main:574] : INFO : Epoch 140 | loss: 0.000151839 | val_loss: 0.000151446 | Time: 7237.86 ms [2020-11-10 21:08:43 main:574] : INFO : Epoch 141 | loss: 0.000145567 | val_loss: 0.000143913 | Time: 7075.56 ms [2020-11-10 21:08:50 main:574] : INFO : Epoch 142 | loss: 0.000139277 | val_loss: 0.000138998 | Time: 7025 ms [2020-11-10 21:08:57 main:574] : INFO : Epoch 143 | loss: 0.000132836 | val_loss: 0.000131156 | Time: 7006.36 ms [2020-11-10 21:09:05 main:574] : INFO : Epoch 144 | loss: 0.000126948 | val_loss: 0.000126414 | Time: 7194.17 ms [2020-11-10 21:09:12 main:574] : INFO : Epoch 145 | loss: 0.000121911 | val_loss: 0.00012171 | Time: 7008.67 ms [2020-11-10 21:09:19 main:574] : INFO : Epoch 146 | loss: 0.000116796 | val_loss: 0.000115621 | Time: 7194.86 ms [2020-11-10 21:09:26 main:574] : INFO : Epoch 147 | loss: 0.000112391 | val_loss: 0.000111396 | Time: 7073.84 ms [2020-11-10 21:09:33 main:574] : INFO : Epoch 148 | loss: 0.000107529 | val_loss: 0.000106612 | Time: 7060.55 ms [2020-11-10 21:09:40 main:574] : INFO : Epoch 149 | loss: 0.000102994 | val_loss: 0.00010417 | Time: 7046.45 ms [2020-11-10 21:09:47 main:574] : INFO : Epoch 150 | loss: 9.91233e-05 | val_loss: 0.000100006 | Time: 7077.38 ms [2020-11-10 21:09:55 main:574] : INFO : Epoch 151 | loss: 9.54764e-05 | val_loss: 9.56987e-05 | Time: 7200.26 ms [2020-11-10 21:10:02 main:574] : INFO : Epoch 152 | loss: 9.14944e-05 | val_loss: 9.08278e-05 | Time: 7271.25 ms [2020-11-10 21:10:09 main:574] : INFO : Epoch 153 | loss: 8.77467e-05 | val_loss: 8.91173e-05 | Time: 7196.72 ms [2020-11-10 21:10:16 main:574] : INFO : Epoch 154 | loss: 8.44442e-05 | val_loss: 8.67209e-05 | Time: 7104.7 ms [2020-11-10 21:10:23 main:574] : INFO : Epoch 155 | loss: 8.2086e-05 | val_loss: 8.27107e-05 | Time: 7044.16 ms [2020-11-10 21:10:30 main:574] : INFO : Epoch 156 | loss: 7.8604e-05 | val_loss: 7.75156e-05 | Time: 6994.84 ms [2020-11-10 21:10:37 main:574] : INFO : Epoch 157 | loss: 7.60942e-05 | val_loss: 7.63162e-05 | Time: 7039.8 ms [2020-11-10 21:10:45 main:574] : INFO : Epoch 158 | loss: 7.33849e-05 | val_loss: 7.24073e-05 | Time: 7111.13 ms [2020-11-10 21:10:52 main:574] : INFO : Epoch 159 | loss: 7.07525e-05 | val_loss: 6.94409e-05 | Time: 7046.2 ms [2020-11-10 21:10:59 main:574] : INFO : Epoch 160 | loss: 6.794e-05 | val_loss: 6.69552e-05 | Time: 7137.64 ms [2020-11-10 21:11:06 main:574] : INFO : Epoch 161 | loss: 6.58182e-05 | val_loss: 6.54853e-05 | Time: 7031.42 ms [2020-11-10 21:11:13 main:574] : INFO : Epoch 162 | loss: 6.40195e-05 | val_loss: 6.4518e-05 | Time: 7202.09 ms [2020-11-10 21:11:20 main:574] : INFO : Epoch 163 | loss: 6.23818e-05 | val_loss: 6.29215e-05 | Time: 7090.41 ms [2020-11-10 21:11:27 main:574] : INFO : Epoch 164 | loss: 6.00899e-05 | val_loss: 6.07089e-05 | Time: 7014.88 ms [2020-11-10 21:11:35 main:574] : INFO : Epoch 165 | loss: 5.80349e-05 | val_loss: 5.89745e-05 | Time: 7073.22 ms [2020-11-10 21:11:42 main:574] : INFO : Epoch 166 | loss: 5.67215e-05 | val_loss: 5.70872e-05 | Time: 7203.64 ms [2020-11-10 21:11:49 main:574] : INFO : Epoch 167 | loss: 5.47644e-05 | val_loss: 5.48904e-05 | Time: 7157.59 ms [2020-11-10 21:11:56 main:574] : INFO : Epoch 168 | loss: 5.28377e-05 | val_loss: 5.331e-05 | Time: 7220.68 ms [2020-11-10 21:12:04 main:574] : INFO : Epoch 169 | loss: 5.12745e-05 | val_loss: 5.09957e-05 | Time: 7179.82 ms [2020-11-10 21:12:11 main:574] : INFO : Epoch 170 | loss: 5.00487e-05 | val_loss: 4.93975e-05 | Time: 7098.49 ms [2020-11-10 21:12:18 main:574] : INFO : Epoch 171 | loss: 4.84182e-05 | val_loss: 4.74714e-05 | Time: 7033.69 ms [2020-11-10 21:12:25 main:574] : INFO : Epoch 172 | loss: 4.74424e-05 | val_loss: 4.85229e-05 | Time: 7077.54 ms [2020-11-10 21:12:32 main:574] : INFO : Epoch 173 | loss: 4.6017e-05 | val_loss: 4.75615e-05 | Time: 7003.81 ms [2020-11-10 21:12:39 main:574] : INFO : Epoch 174 | loss: 4.50762e-05 | val_loss: 4.56402e-05 | Time: 7134.75 ms [2020-11-10 21:12:46 main:574] : INFO : Epoch 175 | loss: 4.34047e-05 | val_loss: 4.3425e-05 | Time: 7153.22 ms [2020-11-10 21:12:53 main:574] : INFO : Epoch 176 | loss: 4.22313e-05 | val_loss: 4.17481e-05 | Time: 7163.62 ms [2020-11-10 21:13:01 main:574] : INFO : Epoch 177 | loss: 4.1774e-05 | val_loss: 4.12611e-05 | Time: 7030.11 ms [2020-11-10 21:13:08 main:574] : INFO : Epoch 178 | loss: 4.10251e-05 | val_loss: 4.07714e-05 | Time: 7226.79 ms [2020-11-10 21:13:15 main:574] : INFO : Epoch 179 | loss: 3.92896e-05 | val_loss: 4.1702e-05 | Time: 7142.65 ms [2020-11-10 21:13:22 main:574] : INFO : Epoch 180 | loss: 3.85854e-05 | val_loss: 3.87222e-05 | Time: 7163.04 ms [2020-11-10 21:13:29 main:574] : INFO : Epoch 181 | loss: 3.74897e-05 | val_loss: 3.73144e-05 | Time: 7002.34 ms [2020-11-10 21:13:37 main:574] : INFO : Epoch 182 | loss: 3.68424e-05 | val_loss: 3.61449e-05 | Time: 7109.35 ms [2020-11-10 21:13:44 main:574] : INFO : Epoch 183 | loss: 3.60887e-05 | val_loss: 3.55673e-05 | Time: 7114.86 ms [2020-11-10 21:13:51 main:574] : INFO : Epoch 184 | loss: 3.51524e-05 | val_loss: 3.48526e-05 | Time: 6982.33 ms [2020-11-10 21:13:58 main:574] : INFO : Epoch 185 | loss: 3.40819e-05 | val_loss: 3.47429e-05 | Time: 7104.53 ms [2020-11-10 21:14:05 main:574] : INFO : Epoch 186 | loss: 3.38303e-05 | val_loss: 3.65393e-05 | Time: 7104.59 ms [2020-11-10 21:14:12 main:574] : INFO : Epoch 187 | loss: 3.31836e-05 | val_loss: 3.33433e-05 | Time: 7058.38 ms [2020-11-10 21:14:19 main:574] : INFO : Epoch 188 | loss: 3.2402e-05 | val_loss: 3.20091e-05 | Time: 6939.2 ms [2020-11-10 21:14:26 main:574] : INFO : Epoch 189 | loss: 3.15809e-05 | val_loss: 3.17689e-05 | Time: 7106.86 ms [2020-11-10 21:14:33 main:574] : INFO : Epoch 190 | loss: 3.1312e-05 | val_loss: 3.09684e-05 | Time: 7022.9 ms [2020-11-10 21:14:40 main:574] : INFO : Epoch 191 | loss: 3.00928e-05 | val_loss: 3.15665e-05 | Time: 7047.6 ms [2020-11-10 21:14:48 main:574] : INFO : Epoch 192 | loss: 2.97228e-05 | val_loss: 2.99081e-05 | Time: 7117.96 ms [2020-11-10 21:14:48 main:597] : INFO : Saving trained model to model-final.pt, val_loss 2.99081e-05 [2020-11-10 21:14:48 main:603] : INFO : Saving end state to config to file [2020-11-10 21:14:48 main:608] : INFO : Success, exiting.. 21:14:48 (976): 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)