| Name | rand_automata_0003-1604983405-849-0_2 |
| Workunit | 1263801 |
| Created | 10 Nov 2020, 23:31:35 UTC |
| Sent | 10 Nov 2020, 23:35:37 UTC |
| Report deadline | 11 Nov 2020, 22:05:37 UTC |
| Received | 11 Nov 2020, 3:56:40 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 443 |
| Run time | 45 min 52 sec |
| CPU time | 25 min 48 sec |
| Validate state | Valid |
| Credit | 959.40 |
| Device peak FLOPS | 9,073.48 GFLOPS |
| Application version | Machine Learning Dataset Generator (test) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 1.49 GB |
| Peak swap size | 3.22 GB |
| Peak disk usage | 1.54 GB |
<core_client_version>7.16.6</core_client_version> <![CDATA[ <stderr_txt> Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: GeForce GTX 1080) [2020-11-11 04:10:36 main:435] : INFO : Set logging level to 1 [2020-11-11 04:10:36 main:441] : INFO : Running in BOINC Client mode [2020-11-11 04:10:36 main:444] : INFO : Resolving all filenames [2020-11-11 04:10:36 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0003-train-val-dataset.hdf5 (exists = 1) [2020-11-11 04:10:36 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0003-1604983405-849-0_2_r1243376580_1 (exists = 0) [2020-11-11 04:10:36 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0003-1604983405-849-0_2_r1243376580_0 (exists = 0) [2020-11-11 04:10:36 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-11 04:10:36 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-11 04:10:36 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0003-train-val-dataset.hdf5 [2020-11-11 04:10:36 main:474] : INFO : Configuration: [2020-11-11 04:10:36 main:475] : INFO : Model type: LSTM [2020-11-11 04:10:36 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-11 04:10:36 main:477] : INFO : Max Epochs: 192 [2020-11-11 04:10:36 main:478] : INFO : Batch Size: 32 [2020-11-11 04:10:36 main:479] : INFO : Learning Rate: 0.001 [2020-11-11 04:10:36 main:480] : INFO : Patience: 10 [2020-11-11 04:10:36 main:481] : INFO : Hidden Width: 64 [2020-11-11 04:10:36 main:482] : INFO : # Recurrent Layers: 4 [2020-11-11 04:10:36 main:483] : INFO : # Backend Layers: 2 [2020-11-11 04:10:36 main:484] : INFO : # Threads: 1 [2020-11-11 04:10:36 main:486] : INFO : Preparing Dataset [2020-11-11 04:10:36 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0003-train-val-dataset.hdf5 into memory [2020-11-11 04:10:36 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0003-train-val-dataset.hdf5 into memory [2020-11-11 04:10:40 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-11 04:10:40 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0003-train-val-dataset.hdf5 into memory [2020-11-11 04:10:40 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0003-train-val-dataset.hdf5 into memory [2020-11-11 04:10:40 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-11 04:10:40 main:494] : INFO : Creating Model [2020-11-11 04:10:40 main:507] : INFO : Preparing config file [2020-11-11 04:10:40 main:519] : INFO : Creating new config file [2020-11-11 04:10:42 main:559] : INFO : Loading DataLoader into Memory [2020-11-11 04:10:42 main:562] : INFO : Starting Training [2020-11-11 04:10:59 main:574] : INFO : Epoch 1 | loss: 0.0660715 | val_loss: 0.0656179 | Time: 17794.9 ms [2020-11-11 04:11:13 main:574] : INFO : Epoch 2 | loss: 0.064487 | val_loss: 0.0627653 | Time: 13681 ms [2020-11-11 04:11:27 main:574] : INFO : Epoch 3 | loss: 0.0610762 | val_loss: 0.0595862 | Time: 13573.6 ms [2020-11-11 04:11:39 main:574] : INFO : Epoch 4 | loss: 0.0583657 | val_loss: 0.0574102 | Time: 12612.9 ms [2020-11-11 04:11:53 main:574] : INFO : Epoch 5 | loss: 0.0565634 | val_loss: 0.0558472 | Time: 13463.4 ms [2020-11-11 04:12:07 main:574] : INFO : Epoch 6 | loss: 0.0551796 | val_loss: 0.0546076 | Time: 13802.7 ms [2020-11-11 04:12:25 main:574] : INFO : Epoch 7 | loss: 0.0540662 | val_loss: 0.0536718 | Time: 18332.7 ms [2020-11-11 04:12:40 main:574] : INFO : Epoch 8 | loss: 0.0530809 | val_loss: 0.052658 | Time: 14894.3 ms [2020-11-11 04:12:54 main:574] : INFO : Epoch 9 | loss: 0.0521261 | val_loss: 0.0517708 | Time: 14616.2 ms [2020-11-11 04:13:12 main:574] : INFO : Epoch 10 | loss: 0.0511771 | val_loss: 0.0508255 | Time: 17394.5 ms [2020-11-11 04:13:30 main:574] : INFO : Epoch 11 | loss: 0.0501663 | val_loss: 0.0498547 | Time: 17650.6 ms [2020-11-11 04:13:48 main:574] : INFO : Epoch 12 | loss: 0.0492008 | val_loss: 0.0489806 | Time: 18088.8 ms [2020-11-11 04:14:03 main:574] : INFO : Epoch 13 | loss: 0.0481155 | val_loss: 0.0478691 | Time: 14987.4 ms [2020-11-11 04:14:17 main:574] : INFO : Epoch 14 | loss: 0.0469497 | val_loss: 0.0467875 | Time: 14760.4 ms [2020-11-11 04:14:31 main:574] : INFO : Epoch 15 | loss: 0.0457173 | val_loss: 0.0453856 | Time: 14006.9 ms [2020-11-11 04:14:45 main:574] : INFO : Epoch 16 | loss: 0.0442486 | val_loss: 0.0439582 | Time: 14033.3 ms [2020-11-11 04:14:59 main:574] : INFO : Epoch 17 | loss: 0.0426276 | val_loss: 0.0424492 | Time: 13517.1 ms [2020-11-11 04:15:13 main:574] : INFO : Epoch 18 | loss: 0.0407757 | val_loss: 0.0402682 | Time: 14072.5 ms [2020-11-11 04:15:27 main:574] : INFO : Epoch 19 | loss: 0.0386225 | val_loss: 0.0381027 | Time: 14352.4 ms [2020-11-11 04:15:41 main:574] : INFO : Epoch 20 | loss: 0.0362685 | val_loss: 0.0356475 | Time: 13116.8 ms [2020-11-11 04:15:54 main:574] : INFO : Epoch 21 | loss: 0.0334349 | val_loss: 0.0334377 | Time: 13591.4 ms [2020-11-11 04:16:08 main:574] : INFO : Epoch 22 | loss: 0.030814 | val_loss: 0.0300958 | Time: 13937.9 ms [2020-11-11 04:16:22 main:574] : INFO : Epoch 23 | loss: 0.0275992 | val_loss: 0.0299052 | Time: 14359.5 ms [2020-11-11 04:16:37 main:574] : INFO : Epoch 24 | loss: 0.0242024 | val_loss: 0.0232255 | Time: 14949.3 ms [2020-11-11 04:16:52 main:574] : INFO : Epoch 25 | loss: 0.0219057 | val_loss: 0.0194438 | Time: 14154.2 ms [2020-11-11 04:17:05 main:574] : INFO : Epoch 26 | loss: 0.030099 | val_loss: 0.0224464 | Time: 13715 ms [2020-11-11 04:17:19 main:574] : INFO : Epoch 27 | loss: 0.0188318 | val_loss: 0.0202438 | Time: 13759.9 ms [2020-11-11 04:17:34 main:574] : INFO : Epoch 28 | loss: 0.0239866 | val_loss: 0.0159302 | Time: 14599.9 ms [2020-11-11 04:17:47 main:574] : INFO : Epoch 29 | loss: 0.0143473 | val_loss: 0.0130739 | Time: 13749.6 ms [2020-11-11 04:18:02 main:574] : INFO : Epoch 30 | loss: 0.0189989 | val_loss: 0.0146054 | Time: 14447.6 ms [2020-11-11 04:18:15 main:574] : INFO : Epoch 31 | loss: 0.018667 | val_loss: 0.0154677 | Time: 13549.9 ms [2020-11-11 04:18:29 main:574] : INFO : Epoch 32 | loss: 0.0126825 | val_loss: 0.0116414 | Time: 13347.1 ms [2020-11-11 04:18:43 main:574] : INFO : Epoch 33 | loss: 0.0194699 | val_loss: 0.0129405 | Time: 13738.3 ms [2020-11-11 04:18:55 main:574] : INFO : Epoch 34 | loss: 0.0121775 | val_loss: 0.0221946 | Time: 12575 ms [2020-11-11 04:19:08 main:574] : INFO : Epoch 35 | loss: 0.0484943 | val_loss: 0.059189 | Time: 13257.9 ms [2020-11-11 04:19:22 main:574] : INFO : Epoch 36 | loss: 0.0579608 | val_loss: 0.0566096 | Time: 13588.4 ms [2020-11-11 04:19:35 main:574] : INFO : Epoch 37 | loss: 0.0548474 | val_loss: 0.0523134 | Time: 13006.3 ms [2020-11-11 04:19:50 main:574] : INFO : Epoch 38 | loss: 0.0482025 | val_loss: 0.0417393 | Time: 14803.9 ms [2020-11-11 04:20:03 main:574] : INFO : Epoch 39 | loss: 0.0272278 | val_loss: 0.0163067 | Time: 13385 ms [2020-11-11 04:20:19 main:574] : INFO : Epoch 40 | loss: 0.0175934 | val_loss: 0.0163281 | Time: 15292.2 ms [2020-11-11 04:20:34 main:574] : INFO : Epoch 41 | loss: 0.0125288 | val_loss: 0.01108 | Time: 15523.1 ms [2020-11-11 04:20:49 main:574] : INFO : Epoch 42 | loss: 0.0102953 | val_loss: 0.0101645 | Time: 14893.9 ms [2020-11-11 04:21:03 main:574] : INFO : Epoch 43 | loss: 0.00954167 | val_loss: 0.0103119 | Time: 13461.3 ms [2020-11-11 04:21:17 main:574] : INFO : Epoch 44 | loss: 0.0093766 | val_loss: 0.00914366 | Time: 14311.3 ms [2020-11-11 04:21:32 main:574] : INFO : Epoch 45 | loss: 0.00868355 | val_loss: 0.00872498 | Time: 14661.7 ms [2020-11-11 04:21:44 main:574] : INFO : Epoch 46 | loss: 0.00836141 | val_loss: 0.00841195 | Time: 12753.8 ms [2020-11-11 04:21:59 main:574] : INFO : Epoch 47 | loss: 0.0116663 | val_loss: 0.00950392 | Time: 14321.7 ms [2020-11-11 04:22:13 main:574] : INFO : Epoch 48 | loss: 0.00840061 | val_loss: 0.00821454 | Time: 14147.8 ms [2020-11-11 04:22:28 main:574] : INFO : Epoch 49 | loss: 0.00788374 | val_loss: 0.00785413 | Time: 15325.3 ms [2020-11-11 04:22:44 main:574] : INFO : Epoch 50 | loss: 0.00752715 | val_loss: 0.00758878 | Time: 15400.7 ms [2020-11-11 04:22:57 main:574] : INFO : Epoch 51 | loss: 0.00729283 | val_loss: 0.0073655 | Time: 13705.4 ms [2020-11-11 04:23:11 main:574] : INFO : Epoch 52 | loss: 0.00708087 | val_loss: 0.00713 | Time: 13900.1 ms [2020-11-11 04:23:25 main:574] : INFO : Epoch 53 | loss: 0.00687824 | val_loss: 0.00692885 | Time: 14301.2 ms [2020-11-11 04:23:39 main:574] : INFO : Epoch 54 | loss: 0.00668776 | val_loss: 0.00674461 | Time: 13467.4 ms [2020-11-11 04:23:54 main:574] : INFO : Epoch 55 | loss: 0.00650467 | val_loss: 0.00654616 | Time: 14938.6 ms [2020-11-11 04:24:07 main:574] : INFO : Epoch 56 | loss: 0.006324 | val_loss: 0.0063707 | Time: 13239.8 ms [2020-11-11 04:24:21 main:574] : INFO : Epoch 57 | loss: 0.00614846 | val_loss: 0.0061814 | Time: 14288.7 ms [2020-11-11 04:24:34 main:574] : INFO : Epoch 58 | loss: 0.00597333 | val_loss: 0.00600543 | Time: 12027.1 ms [2020-11-11 04:24:47 main:574] : INFO : Epoch 59 | loss: 0.00580348 | val_loss: 0.00582562 | Time: 13011.3 ms [2020-11-11 04:25:02 main:574] : INFO : Epoch 60 | loss: 0.00563495 | val_loss: 0.005625 | Time: 15724.1 ms [2020-11-11 04:25:17 main:574] : INFO : Epoch 61 | loss: 0.00546564 | val_loss: 0.00544579 | Time: 14852.3 ms [2020-11-11 04:25:32 main:574] : INFO : Epoch 62 | loss: 0.00530236 | val_loss: 0.00527756 | Time: 14487.1 ms [2020-11-11 04:25:46 main:574] : INFO : Epoch 63 | loss: 0.00513668 | val_loss: 0.00511237 | Time: 14306.1 ms [2020-11-11 04:26:02 main:574] : INFO : Epoch 64 | loss: 0.0049754 | val_loss: 0.00493997 | Time: 15821.1 ms [2020-11-11 04:26:15 main:574] : INFO : Epoch 65 | loss: 0.00481729 | val_loss: 0.00477376 | Time: 13476.1 ms [2020-11-11 04:26:29 main:574] : INFO : Epoch 66 | loss: 0.00466003 | val_loss: 0.00462043 | Time: 13930.4 ms [2020-11-11 04:26:43 main:574] : INFO : Epoch 67 | loss: 0.00450559 | val_loss: 0.00446111 | Time: 13970.6 ms [2020-11-11 04:26:57 main:574] : INFO : Epoch 68 | loss: 0.00435263 | val_loss: 0.00430806 | Time: 14184.7 ms [2020-11-11 04:27:11 main:574] : INFO : Epoch 69 | loss: 0.00420315 | val_loss: 0.00414589 | Time: 13082.7 ms [2020-11-11 04:27:25 main:574] : INFO : Epoch 70 | loss: 0.00405565 | val_loss: 0.00400259 | Time: 14001.2 ms [2020-11-11 04:27:39 main:574] : INFO : Epoch 71 | loss: 0.00391132 | val_loss: 0.00385361 | Time: 14032.1 ms [2020-11-11 04:27:53 main:574] : INFO : Epoch 72 | loss: 0.00376936 | val_loss: 0.003709 | Time: 14104.1 ms [2020-11-11 04:28:06 main:574] : INFO : Epoch 73 | loss: 0.00362938 | val_loss: 0.00356812 | Time: 13362.6 ms [2020-11-11 04:28:19 main:574] : INFO : Epoch 74 | loss: 0.00349357 | val_loss: 0.00343079 | Time: 13051.2 ms [2020-11-11 04:28:34 main:574] : INFO : Epoch 75 | loss: 0.00336047 | val_loss: 0.00328685 | Time: 14713.1 ms [2020-11-11 04:28:49 main:574] : INFO : Epoch 76 | loss: 0.00322954 | val_loss: 0.00315957 | Time: 15250.1 ms [2020-11-11 04:29:02 main:574] : INFO : Epoch 77 | loss: 0.00310086 | val_loss: 0.00302808 | Time: 13122.4 ms [2020-11-11 04:29:16 main:574] : INFO : Epoch 78 | loss: 0.00297219 | val_loss: 0.00289674 | Time: 13919.1 ms [2020-11-11 04:29:30 main:574] : INFO : Epoch 79 | loss: 0.0028422 | val_loss: 0.00277338 | Time: 13723.6 ms [2020-11-11 04:29:44 main:574] : INFO : Epoch 80 | loss: 0.00272126 | val_loss: 0.00265793 | Time: 14403.1 ms [2020-11-11 04:29:59 main:574] : INFO : Epoch 81 | loss: 0.00260501 | val_loss: 0.00253842 | Time: 14392 ms [2020-11-11 04:30:13 main:574] : INFO : Epoch 82 | loss: 0.00249326 | val_loss: 0.00243073 | Time: 14053.1 ms [2020-11-11 04:30:28 main:574] : INFO : Epoch 83 | loss: 0.0023845 | val_loss: 0.00232103 | Time: 14726.3 ms [2020-11-11 04:30:41 main:574] : INFO : Epoch 84 | loss: 0.00228145 | val_loss: 0.00222181 | Time: 13183.9 ms [2020-11-11 04:30:55 main:574] : INFO : Epoch 85 | loss: 0.00218328 | val_loss: 0.00212645 | Time: 14527.8 ms [2020-11-11 04:31:09 main:574] : INFO : Epoch 86 | loss: 0.00208742 | val_loss: 0.00203558 | Time: 13792.4 ms [2020-11-11 04:31:25 main:574] : INFO : Epoch 87 | loss: 0.00199707 | val_loss: 0.00194952 | Time: 15320.4 ms [2020-11-11 04:31:38 main:574] : INFO : Epoch 88 | loss: 0.00190867 | val_loss: 0.00185665 | Time: 13584.7 ms [2020-11-11 04:31:53 main:574] : INFO : Epoch 89 | loss: 0.00182451 | val_loss: 0.00177505 | Time: 14377.6 ms [2020-11-11 04:32:09 main:574] : INFO : Epoch 90 | loss: 0.00174449 | val_loss: 0.00169692 | Time: 15940.9 ms [2020-11-11 04:32:23 main:574] : INFO : Epoch 91 | loss: 0.00166454 | val_loss: 0.00162031 | Time: 14874.9 ms [2020-11-11 04:32:38 main:574] : INFO : Epoch 92 | loss: 0.00159168 | val_loss: 0.00155177 | Time: 14274.8 ms [2020-11-11 04:32:52 main:574] : INFO : Epoch 93 | loss: 0.00152225 | val_loss: 0.00148363 | Time: 14353.1 ms [2020-11-11 04:33:07 main:574] : INFO : Epoch 94 | loss: 0.00145429 | val_loss: 0.00141314 | Time: 14476.3 ms [2020-11-11 04:33:22 main:574] : INFO : Epoch 95 | loss: 0.00139064 | val_loss: 0.0013576 | Time: 15748.4 ms [2020-11-11 04:33:37 main:574] : INFO : Epoch 96 | loss: 0.00133064 | val_loss: 0.00129926 | Time: 14540.1 ms [2020-11-11 04:33:51 main:574] : INFO : Epoch 97 | loss: 0.00127331 | val_loss: 0.0012404 | Time: 13779.5 ms [2020-11-11 04:34:06 main:574] : INFO : Epoch 98 | loss: 0.00122034 | val_loss: 0.00118988 | Time: 14753.9 ms [2020-11-11 04:34:19 main:574] : INFO : Epoch 99 | loss: 0.00116662 | val_loss: 0.00113863 | Time: 12943.7 ms [2020-11-11 04:34:32 main:574] : INFO : Epoch 100 | loss: 0.0011166 | val_loss: 0.00108894 | Time: 13101.5 ms [2020-11-11 04:34:45 main:574] : INFO : Epoch 101 | loss: 0.0010685 | val_loss: 0.00104845 | Time: 13655.4 ms [2020-11-11 04:34:59 main:574] : INFO : Epoch 102 | loss: 0.0010256 | val_loss: 0.00099891 | Time: 13434.1 ms [2020-11-11 04:35:14 main:574] : INFO : Epoch 103 | loss: 0.000981796 | val_loss: 0.000963327 | Time: 15010.3 ms [2020-11-11 04:35:29 main:574] : INFO : Epoch 104 | loss: 0.000941503 | val_loss: 0.000925681 | Time: 14869.2 ms [2020-11-11 04:35:42 main:574] : INFO : Epoch 105 | loss: 0.000904263 | val_loss: 0.000890385 | Time: 13353.4 ms [2020-11-11 04:35:56 main:574] : INFO : Epoch 106 | loss: 0.0008671 | val_loss: 0.00085258 | Time: 13726 ms [2020-11-11 04:36:10 main:574] : INFO : Epoch 107 | loss: 0.000832102 | val_loss: 0.000821145 | Time: 14180.4 ms [2020-11-11 04:36:25 main:574] : INFO : Epoch 108 | loss: 0.000798333 | val_loss: 0.000783523 | Time: 15177.6 ms [2020-11-11 04:36:40 main:574] : INFO : Epoch 109 | loss: 0.000768074 | val_loss: 0.000750819 | Time: 14985.6 ms [2020-11-11 04:36:54 main:574] : INFO : Epoch 110 | loss: 0.000736303 | val_loss: 0.000727085 | Time: 14302.8 ms [2020-11-11 04:37:09 main:574] : INFO : Epoch 111 | loss: 0.000709211 | val_loss: 0.000694808 | Time: 14183.7 ms [2020-11-11 04:37:23 main:574] : INFO : Epoch 112 | loss: 0.000681579 | val_loss: 0.000668183 | Time: 13945.2 ms [2020-11-11 04:37:37 main:574] : INFO : Epoch 113 | loss: 0.000657226 | val_loss: 0.000642956 | Time: 14252.6 ms [2020-11-11 04:37:51 main:574] : INFO : Epoch 114 | loss: 0.000632354 | val_loss: 0.000625204 | Time: 13642.4 ms [2020-11-11 04:38:06 main:574] : INFO : Epoch 115 | loss: 0.000609095 | val_loss: 0.000603661 | Time: 15003.6 ms [2020-11-11 04:38:20 main:574] : INFO : Epoch 116 | loss: 0.000586114 | val_loss: 0.000575451 | Time: 14089.7 ms [2020-11-11 04:38:34 main:574] : INFO : Epoch 117 | loss: 0.000565526 | val_loss: 0.000554329 | Time: 14113.1 ms [2020-11-11 04:38:48 main:574] : INFO : Epoch 118 | loss: 0.000545473 | val_loss: 0.00053663 | Time: 14497.1 ms [2020-11-11 04:39:03 main:574] : INFO : Epoch 119 | loss: 0.00052673 | val_loss: 0.000515365 | Time: 15028 ms [2020-11-11 04:39:19 main:574] : INFO : Epoch 120 | loss: 0.000509174 | val_loss: 0.000500387 | Time: 15435.6 ms [2020-11-11 04:39:34 main:574] : INFO : Epoch 121 | loss: 0.000492339 | val_loss: 0.000492265 | Time: 15346.8 ms [2020-11-11 04:39:48 main:574] : INFO : Epoch 122 | loss: 0.000476262 | val_loss: 0.000473019 | Time: 13907.4 ms [2020-11-11 04:40:04 main:574] : INFO : Epoch 123 | loss: 0.000460445 | val_loss: 0.000453388 | Time: 15244.4 ms [2020-11-11 04:40:19 main:574] : INFO : Epoch 124 | loss: 0.000445984 | val_loss: 0.000441708 | Time: 15269.5 ms [2020-11-11 04:40:33 main:574] : INFO : Epoch 125 | loss: 0.000431307 | val_loss: 0.000428052 | Time: 14123.8 ms [2020-11-11 04:40:49 main:574] : INFO : Epoch 126 | loss: 0.000418861 | val_loss: 0.000413673 | Time: 15577 ms [2020-11-11 04:41:03 main:574] : INFO : Epoch 127 | loss: 0.000405092 | val_loss: 0.000406384 | Time: 14241 ms [2020-11-11 04:41:18 main:574] : INFO : Epoch 128 | loss: 0.000393566 | val_loss: 0.000390791 | Time: 15087.4 ms [2020-11-11 04:41:33 main:574] : INFO : Epoch 129 | loss: 0.000380839 | val_loss: 0.000377502 | Time: 15451.3 ms [2020-11-11 04:41:48 main:574] : INFO : Epoch 130 | loss: 0.000368518 | val_loss: 0.000370668 | Time: 14839.5 ms [2020-11-11 04:42:03 main:574] : INFO : Epoch 131 | loss: 0.000358058 | val_loss: 0.000356473 | Time: 14266 ms [2020-11-11 04:42:17 main:574] : INFO : Epoch 132 | loss: 0.000348001 | val_loss: 0.000345772 | Time: 14185.7 ms [2020-11-11 04:42:30 main:574] : INFO : Epoch 133 | loss: 0.000337322 | val_loss: 0.000335023 | Time: 13006.9 ms [2020-11-11 04:42:44 main:574] : INFO : Epoch 134 | loss: 0.000328993 | val_loss: 0.000328418 | Time: 14202.2 ms [2020-11-11 04:42:58 main:574] : INFO : Epoch 135 | loss: 0.000318726 | val_loss: 0.000320994 | Time: 13908.8 ms [2020-11-11 04:43:13 main:574] : INFO : Epoch 136 | loss: 0.00031004 | val_loss: 0.000309276 | Time: 15112.7 ms [2020-11-11 04:43:28 main:574] : INFO : Epoch 137 | loss: 0.000301596 | val_loss: 0.000299606 | Time: 14739.9 ms [2020-11-11 04:43:44 main:574] : INFO : Epoch 138 | loss: 0.00029359 | val_loss: 0.000293373 | Time: 15555.1 ms [2020-11-11 04:43:59 main:574] : INFO : Epoch 139 | loss: 0.000285418 | val_loss: 0.000282134 | Time: 15027.4 ms [2020-11-11 04:44:12 main:574] : INFO : Epoch 140 | loss: 0.000278198 | val_loss: 0.000276914 | Time: 12889.1 ms [2020-11-11 04:44:27 main:574] : INFO : Epoch 141 | loss: 0.000270784 | val_loss: 0.000269843 | Time: 15879.8 ms [2020-11-11 04:44:41 main:574] : INFO : Epoch 142 | loss: 0.000264899 | val_loss: 0.000268027 | Time: 13370.8 ms [2020-11-11 04:44:54 main:574] : INFO : Epoch 143 | loss: 0.000258138 | val_loss: 0.00025626 | Time: 13571.1 ms [2020-11-11 04:45:09 main:574] : INFO : Epoch 144 | loss: 0.000252361 | val_loss: 0.000254033 | Time: 15033 ms [2020-11-11 04:45:24 main:574] : INFO : Epoch 145 | loss: 0.000247373 | val_loss: 0.000247104 | Time: 14882.8 ms [2020-11-11 04:45:39 main:574] : INFO : Epoch 146 | loss: 0.000240714 | val_loss: 0.000239167 | Time: 14544.3 ms [2020-11-11 04:45:52 main:574] : INFO : Epoch 147 | loss: 0.000234757 | val_loss: 0.000233578 | Time: 13175.2 ms [2020-11-11 04:46:05 main:574] : INFO : Epoch 148 | loss: 0.000229718 | val_loss: 0.000229411 | Time: 13108.4 ms [2020-11-11 04:46:19 main:574] : INFO : Epoch 149 | loss: 0.000224835 | val_loss: 0.000228357 | Time: 13588.5 ms [2020-11-11 04:46:32 main:574] : INFO : Epoch 150 | loss: 0.000220053 | val_loss: 0.000220323 | Time: 12726.8 ms [2020-11-11 04:46:46 main:574] : INFO : Epoch 151 | loss: 0.000214742 | val_loss: 0.000215725 | Time: 13881.4 ms [2020-11-11 04:47:00 main:574] : INFO : Epoch 152 | loss: 0.000210092 | val_loss: 0.000210624 | Time: 13810.7 ms [2020-11-11 04:47:13 main:574] : INFO : Epoch 153 | loss: 0.000207658 | val_loss: 0.000206964 | Time: 13478.2 ms [2020-11-11 04:47:27 main:574] : INFO : Epoch 154 | loss: 0.000201879 | val_loss: 0.000199718 | Time: 13977.2 ms [2020-11-11 04:47:41 main:574] : INFO : Epoch 155 | loss: 0.000198512 | val_loss: 0.000197354 | Time: 14259.9 ms [2020-11-11 04:47:54 main:574] : INFO : Epoch 156 | loss: 0.000193721 | val_loss: 0.000192399 | Time: 13010.6 ms [2020-11-11 04:48:09 main:574] : INFO : Epoch 157 | loss: 0.000189874 | val_loss: 0.000188954 | Time: 14740.7 ms [2020-11-11 04:48:24 main:574] : INFO : Epoch 158 | loss: 0.000186236 | val_loss: 0.000185811 | Time: 15340.3 ms [2020-11-11 04:48:38 main:574] : INFO : Epoch 159 | loss: 0.000181807 | val_loss: 0.000182685 | Time: 14065.8 ms [2020-11-11 04:48:54 main:574] : INFO : Epoch 160 | loss: 0.000178614 | val_loss: 0.000177947 | Time: 15045.4 ms [2020-11-11 04:49:07 main:574] : INFO : Epoch 161 | loss: 0.000175385 | val_loss: 0.00017787 | Time: 13154.7 ms [2020-11-11 04:49:22 main:574] : INFO : Epoch 162 | loss: 0.000172655 | val_loss: 0.000172039 | Time: 15239.8 ms [2020-11-11 04:49:36 main:574] : INFO : Epoch 163 | loss: 0.000168587 | val_loss: 0.000167624 | Time: 14067.7 ms [2020-11-11 04:49:52 main:574] : INFO : Epoch 164 | loss: 0.000165335 | val_loss: 0.000165375 | Time: 15691.6 ms [2020-11-11 04:50:06 main:574] : INFO : Epoch 165 | loss: 0.000162536 | val_loss: 0.000164468 | Time: 14741.1 ms [2020-11-11 04:50:21 main:574] : INFO : Epoch 166 | loss: 0.000160451 | val_loss: 0.000160336 | Time: 14687.1 ms [2020-11-11 04:50:35 main:574] : INFO : Epoch 167 | loss: 0.000157894 | val_loss: 0.000157113 | Time: 14113.6 ms [2020-11-11 04:50:49 main:574] : INFO : Epoch 168 | loss: 0.000153947 | val_loss: 0.000156183 | Time: 13860.4 ms [2020-11-11 04:51:03 main:574] : INFO : Epoch 169 | loss: 0.000151851 | val_loss: 0.000152817 | Time: 13279.6 ms [2020-11-11 04:51:17 main:574] : INFO : Epoch 170 | loss: 0.000149412 | val_loss: 0.000150204 | Time: 13860.1 ms [2020-11-11 04:51:31 main:574] : INFO : Epoch 171 | loss: 0.000147152 | val_loss: 0.000148401 | Time: 14164.6 ms [2020-11-11 04:51:45 main:574] : INFO : Epoch 172 | loss: 0.000145579 | val_loss: 0.000144157 | Time: 13818.2 ms [2020-11-11 04:51:58 main:574] : INFO : Epoch 173 | loss: 0.00014234 | val_loss: 0.000147745 | Time: 13631.9 ms [2020-11-11 04:52:13 main:574] : INFO : Epoch 174 | loss: 0.000140557 | val_loss: 0.000140446 | Time: 14416.2 ms [2020-11-11 04:52:27 main:574] : INFO : Epoch 175 | loss: 0.000139042 | val_loss: 0.000139064 | Time: 13974.9 ms [2020-11-11 04:52:41 main:574] : INFO : Epoch 176 | loss: 0.000136232 | val_loss: 0.00013922 | Time: 14729 ms [2020-11-11 04:52:56 main:574] : INFO : Epoch 177 | loss: 0.000133529 | val_loss: 0.000133923 | Time: 14082.4 ms [2020-11-11 04:53:10 main:574] : INFO : Epoch 178 | loss: 0.000131776 | val_loss: 0.000133537 | Time: 14751 ms [2020-11-11 04:53:23 main:574] : INFO : Epoch 179 | loss: 0.000129758 | val_loss: 0.000131462 | Time: 12161.6 ms [2020-11-11 04:53:36 main:574] : INFO : Epoch 180 | loss: 0.000127961 | val_loss: 0.000129659 | Time: 13023.4 ms [2020-11-11 04:53:49 main:574] : INFO : Epoch 181 | loss: 0.000126263 | val_loss: 0.000129948 | Time: 13458.3 ms [2020-11-11 04:54:04 main:574] : INFO : Epoch 182 | loss: 0.000124423 | val_loss: 0.000125549 | Time: 14606.3 ms [2020-11-11 04:54:17 main:574] : INFO : Epoch 183 | loss: 0.000122681 | val_loss: 0.000122893 | Time: 12959.2 ms [2020-11-11 04:54:30 main:574] : INFO : Epoch 184 | loss: 0.000120746 | val_loss: 0.000122414 | Time: 13228.1 ms [2020-11-11 04:54:44 main:574] : INFO : Epoch 185 | loss: 0.000119329 | val_loss: 0.000118641 | Time: 13882.7 ms [2020-11-11 04:54:59 main:574] : INFO : Epoch 186 | loss: 0.000117421 | val_loss: 0.000118645 | Time: 15510.5 ms [2020-11-11 04:55:14 main:574] : INFO : Epoch 187 | loss: 0.000116785 | val_loss: 0.000117859 | Time: 14451.6 ms [2020-11-11 04:55:28 main:574] : INFO : Epoch 188 | loss: 0.000114315 | val_loss: 0.000113943 | Time: 14448.2 ms [2020-11-11 04:55:41 main:574] : INFO : Epoch 189 | loss: 0.000113408 | val_loss: 0.000115059 | Time: 13211.5 ms [2020-11-11 04:55:56 main:574] : INFO : Epoch 190 | loss: 0.000112294 | val_loss: 0.00011342 | Time: 14909.9 ms [2020-11-11 04:56:10 main:574] : INFO : Epoch 191 | loss: 0.000110208 | val_loss: 0.000110323 | Time: 14070.6 ms [2020-11-11 04:56:25 main:574] : INFO : Epoch 192 | loss: 0.000108883 | val_loss: 0.000111182 | Time: 14498.2 ms [2020-11-11 04:56:25 main:597] : INFO : Saving trained model to model-final.pt, val_loss 0.000111182 [2020-11-11 04:56:25 main:603] : INFO : Saving end state to config to file [2020-11-11 04:56:25 main:608] : INFO : Success, exiting.. 04:56:25 (41236): 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)