Task 2861999
| Name | rand_automata_0026-1605108253-27998-0_1 |
| Workunit | 1291088 |
| Created | 11 Nov 2020, 15:24:18 UTC |
| Sent | 11 Nov 2020, 21:54:27 UTC |
| Report deadline | 19 Nov 2020, 21:54:27 UTC |
| Received | 12 Nov 2020, 3:47:04 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 4439 |
| Run time | 50 min 56 sec |
| CPU time | 50 min 34 sec |
| Validate state | Valid |
| Credit | 959.40 |
| Device peak FLOPS | 1,476.13 GFLOPS |
| Application version | Machine Learning Dataset Generator (GPU) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 1.42 GB |
| Peak swap size | 2.53 GB |
| Peak disk usage | 1.54 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) [2020-11-11 21:55:56 main:435] : INFO : Set logging level to 1 [2020-11-11 21:55:56 main:441] : INFO : Running in BOINC Client mode [2020-11-11 21:55:56 main:444] : INFO : Resolving all filenames [2020-11-11 21:55:56 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0026-train-val-dataset.hdf5 (exists = 1) [2020-11-11 21:55:56 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0026-1605108253-27998-0_1_r1371764522_1 (exists = 0) [2020-11-11 21:55:56 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0026-1605108253-27998-0_1_r1371764522_0 (exists = 0) [2020-11-11 21:55:56 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-11 21:55:56 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-11 21:55:56 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0026-train-val-dataset.hdf5 [2020-11-11 21:55:56 main:474] : INFO : Configuration: [2020-11-11 21:55:56 main:475] : INFO : Model type: LSTM [2020-11-11 21:55:56 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-11 21:55:56 main:477] : INFO : Max Epochs: 192 [2020-11-11 21:55:56 main:478] : INFO : Batch Size: 32 [2020-11-11 21:55:56 main:479] : INFO : Learning Rate: 0.001 [2020-11-11 21:55:56 main:480] : INFO : Patience: 10 [2020-11-11 21:55:56 main:481] : INFO : Hidden Width: 64 [2020-11-11 21:55:56 main:482] : INFO : # Recurrent Layers: 4 [2020-11-11 21:55:56 main:483] : INFO : # Backend Layers: 2 [2020-11-11 21:55:56 main:484] : INFO : # Threads: 1 [2020-11-11 21:55:56 main:486] : INFO : Preparing Dataset [2020-11-11 21:55:56 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0026-train-val-dataset.hdf5 into memory [2020-11-11 21:55:56 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0026-train-val-dataset.hdf5 into memory [2020-11-11 21:55:57 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-11 21:55:57 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0026-train-val-dataset.hdf5 into memory [2020-11-11 21:55:58 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0026-train-val-dataset.hdf5 into memory [2020-11-11 21:55:58 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-11 21:55:58 main:494] : INFO : Creating Model [2020-11-11 21:55:58 main:507] : INFO : Preparing config file [2020-11-11 21:55:58 main:519] : INFO : Creating new config file [2020-11-11 21:55:58 main:559] : INFO : Loading DataLoader into Memory [2020-11-11 21:55:58 main:562] : INFO : Starting Training [2020-11-11 21:56:14 main:574] : INFO : Epoch 1 | loss: 0.0666183 | val_loss: 0.0657708 | Time: 16179.5 ms [2020-11-11 21:56:31 main:574] : INFO : Epoch 2 | loss: 0.0657737 | val_loss: 0.0657493 | Time: 16612.4 ms [2020-11-11 21:56:47 main:574] : INFO : Epoch 3 | loss: 0.0649389 | val_loss: 0.0637693 | Time: 15877.2 ms [2020-11-11 21:57:03 main:574] : INFO : Epoch 4 | loss: 0.0620614 | val_loss: 0.0601112 | Time: 15878.4 ms [2020-11-11 21:57:19 main:574] : INFO : Epoch 5 | loss: 0.0585016 | val_loss: 0.0572249 | Time: 15891 ms [2020-11-11 21:57:35 main:574] : INFO : Epoch 6 | loss: 0.0562824 | val_loss: 0.0554682 | Time: 15907.6 ms [2020-11-11 21:57:51 main:574] : INFO : Epoch 7 | loss: 0.0547377 | val_loss: 0.0541742 | Time: 15904.1 ms [2020-11-11 21:58:06 main:574] : INFO : Epoch 8 | loss: 0.0534632 | val_loss: 0.0529177 | Time: 15864 ms [2020-11-11 21:58:22 main:574] : INFO : Epoch 9 | loss: 0.052186 | val_loss: 0.051816 | Time: 15906.7 ms [2020-11-11 21:58:38 main:574] : INFO : Epoch 10 | loss: 0.0508982 | val_loss: 0.0505188 | Time: 15882.1 ms [2020-11-11 21:58:54 main:574] : INFO : Epoch 11 | loss: 0.0495026 | val_loss: 0.0493222 | Time: 15888.7 ms [2020-11-11 21:59:10 main:574] : INFO : Epoch 12 | loss: 0.0479705 | val_loss: 0.047795 | Time: 15907.4 ms [2020-11-11 21:59:26 main:574] : INFO : Epoch 13 | loss: 0.0462923 | val_loss: 0.0461411 | Time: 15889.7 ms [2020-11-11 21:59:42 main:574] : INFO : Epoch 14 | loss: 0.0444088 | val_loss: 0.044245 | Time: 15896.8 ms [2020-11-11 21:59:58 main:574] : INFO : Epoch 15 | loss: 0.042341 | val_loss: 0.0427785 | Time: 15879.2 ms [2020-11-11 22:00:14 main:574] : INFO : Epoch 16 | loss: 0.0401961 | val_loss: 0.0408566 | Time: 15909.8 ms [2020-11-11 22:00:30 main:574] : INFO : Epoch 17 | loss: 0.0376414 | val_loss: 0.038231 | Time: 15864.1 ms [2020-11-11 22:00:46 main:574] : INFO : Epoch 18 | loss: 0.0351257 | val_loss: 0.0354714 | Time: 15917.2 ms [2020-11-11 22:01:01 main:574] : INFO : Epoch 19 | loss: 0.0341224 | val_loss: 0.0342722 | Time: 15916.5 ms [2020-11-11 22:01:17 main:574] : INFO : Epoch 20 | loss: 0.0302723 | val_loss: 0.0338804 | Time: 15905.8 ms [2020-11-11 22:01:33 main:574] : INFO : Epoch 21 | loss: 0.0364122 | val_loss: 0.030876 | Time: 15886.7 ms [2020-11-11 22:01:49 main:574] : INFO : Epoch 22 | loss: 0.0292667 | val_loss: 0.0373838 | Time: 15857 ms [2020-11-11 22:02:05 main:574] : INFO : Epoch 23 | loss: 0.0308179 | val_loss: 0.0276728 | Time: 15912.7 ms [2020-11-11 22:02:21 main:574] : INFO : Epoch 24 | loss: 0.0350196 | val_loss: 0.0326535 | Time: 15860.9 ms [2020-11-11 22:02:37 main:574] : INFO : Epoch 25 | loss: 0.0286427 | val_loss: 0.025112 | Time: 15890.2 ms [2020-11-11 22:02:53 main:574] : INFO : Epoch 26 | loss: 0.032204 | val_loss: 0.0552682 | Time: 15897.6 ms [2020-11-11 22:03:09 main:574] : INFO : Epoch 27 | loss: 0.0408477 | val_loss: 0.0267884 | Time: 15881 ms [2020-11-11 22:03:25 main:574] : INFO : Epoch 28 | loss: 0.0234953 | val_loss: 0.0212046 | Time: 15882.3 ms [2020-11-11 22:03:40 main:574] : INFO : Epoch 29 | loss: 0.022014 | val_loss: 0.0415817 | Time: 15897.4 ms [2020-11-11 22:03:56 main:574] : INFO : Epoch 30 | loss: 0.025342 | val_loss: 0.0224805 | Time: 15887 ms [2020-11-11 22:04:12 main:574] : INFO : Epoch 31 | loss: 0.0188442 | val_loss: 0.016285 | Time: 15880.5 ms [2020-11-11 22:04:28 main:574] : INFO : Epoch 32 | loss: 0.0138315 | val_loss: 0.0146083 | Time: 15878.9 ms [2020-11-11 22:04:44 main:574] : INFO : Epoch 33 | loss: 0.030229 | val_loss: 0.0548195 | Time: 15878.3 ms [2020-11-11 22:05:00 main:574] : INFO : Epoch 34 | loss: 0.0431785 | val_loss: 0.0294132 | Time: 15878.8 ms [2020-11-11 22:05:16 main:574] : INFO : Epoch 35 | loss: 0.0206315 | val_loss: 0.0159308 | Time: 15920.5 ms [2020-11-11 22:05:32 main:574] : INFO : Epoch 36 | loss: 0.0170071 | val_loss: 0.013899 | Time: 15884.3 ms [2020-11-11 22:05:48 main:574] : INFO : Epoch 37 | loss: 0.0121452 | val_loss: 0.0121813 | Time: 15895.3 ms [2020-11-11 22:06:04 main:574] : INFO : Epoch 38 | loss: 0.0109383 | val_loss: 0.0118647 | Time: 15884.1 ms [2020-11-11 22:06:19 main:574] : INFO : Epoch 39 | loss: 0.0100577 | val_loss: 0.0100407 | Time: 15874.4 ms [2020-11-11 22:06:35 main:574] : INFO : Epoch 40 | loss: 0.00957738 | val_loss: 0.0102919 | Time: 15912.1 ms [2020-11-11 22:06:51 main:574] : INFO : Epoch 41 | loss: 0.00912493 | val_loss: 0.00950579 | Time: 15884.8 ms [2020-11-11 22:07:07 main:574] : INFO : Epoch 42 | loss: 0.00860325 | val_loss: 0.0087042 | Time: 15876.6 ms [2020-11-11 22:07:23 main:574] : INFO : Epoch 43 | loss: 0.00870387 | val_loss: 0.0109929 | Time: 15925.9 ms [2020-11-11 22:07:39 main:574] : INFO : Epoch 44 | loss: 0.00826023 | val_loss: 0.00826188 | Time: 15883.6 ms [2020-11-11 22:07:55 main:574] : INFO : Epoch 45 | loss: 0.00769435 | val_loss: 0.0079276 | Time: 15876.7 ms [2020-11-11 22:08:11 main:574] : INFO : Epoch 46 | loss: 0.00736959 | val_loss: 0.00756282 | Time: 15882.5 ms [2020-11-11 22:08:27 main:574] : INFO : Epoch 47 | loss: 0.0168594 | val_loss: 0.0107386 | Time: 15873.3 ms [2020-11-11 22:08:43 main:574] : INFO : Epoch 48 | loss: 0.00832568 | val_loss: 0.00782382 | Time: 15889.6 ms [2020-11-11 22:08:58 main:574] : INFO : Epoch 49 | loss: 0.00829652 | val_loss: 0.00784901 | Time: 15868.5 ms [2020-11-11 22:09:14 main:574] : INFO : Epoch 50 | loss: 0.00704175 | val_loss: 0.00708383 | Time: 15880.6 ms [2020-11-11 22:09:30 main:574] : INFO : Epoch 51 | loss: 0.00663008 | val_loss: 0.00660771 | Time: 15901.9 ms [2020-11-11 22:09:46 main:574] : INFO : Epoch 52 | loss: 0.00651703 | val_loss: 0.00636702 | Time: 15905.9 ms [2020-11-11 22:10:02 main:574] : INFO : Epoch 53 | loss: 0.00608979 | val_loss: 0.00617736 | Time: 15905.7 ms [2020-11-11 22:10:18 main:574] : INFO : Epoch 54 | loss: 0.00588674 | val_loss: 0.00589215 | Time: 15889.4 ms [2020-11-11 22:10:34 main:574] : INFO : Epoch 55 | loss: 0.00568436 | val_loss: 0.00573022 | Time: 15896 ms [2020-11-11 22:10:50 main:574] : INFO : Epoch 56 | loss: 0.00590421 | val_loss: 0.00720117 | Time: 15897.5 ms [2020-11-11 22:11:06 main:574] : INFO : Epoch 57 | loss: 0.00571538 | val_loss: 0.00547738 | Time: 15897.3 ms [2020-11-11 22:11:22 main:574] : INFO : Epoch 58 | loss: 0.00523631 | val_loss: 0.0051814 | Time: 15854.6 ms [2020-11-11 22:11:37 main:574] : INFO : Epoch 59 | loss: 0.00501705 | val_loss: 0.0050052 | Time: 15734.7 ms [2020-11-11 22:11:53 main:574] : INFO : Epoch 60 | loss: 0.00485038 | val_loss: 0.0048369 | Time: 15723.8 ms [2020-11-11 22:12:09 main:574] : INFO : Epoch 61 | loss: 0.00468928 | val_loss: 0.00467483 | Time: 15776.1 ms [2020-11-11 22:12:25 main:574] : INFO : Epoch 62 | loss: 0.00453382 | val_loss: 0.00451695 | Time: 15753.1 ms [2020-11-11 22:12:40 main:574] : INFO : Epoch 63 | loss: 0.00438001 | val_loss: 0.00435996 | Time: 15740.1 ms [2020-11-11 22:12:56 main:574] : INFO : Epoch 64 | loss: 0.00422748 | val_loss: 0.00421457 | Time: 15732.7 ms [2020-11-11 22:13:12 main:574] : INFO : Epoch 65 | loss: 0.00407918 | val_loss: 0.00406475 | Time: 15725.5 ms [2020-11-11 22:13:28 main:574] : INFO : Epoch 66 | loss: 0.00393147 | val_loss: 0.00390119 | Time: 15745.6 ms [2020-11-11 22:13:43 main:574] : INFO : Epoch 67 | loss: 0.00378542 | val_loss: 0.00375611 | Time: 15749.8 ms [2020-11-11 22:13:59 main:574] : INFO : Epoch 68 | loss: 0.00364338 | val_loss: 0.00360691 | Time: 15750 ms [2020-11-11 22:14:15 main:574] : INFO : Epoch 69 | loss: 0.00350245 | val_loss: 0.00346864 | Time: 15767.4 ms [2020-11-11 22:14:31 main:574] : INFO : Epoch 70 | loss: 0.00336236 | val_loss: 0.00332644 | Time: 15748.8 ms [2020-11-11 22:14:46 main:574] : INFO : Epoch 71 | loss: 0.00322713 | val_loss: 0.00319083 | Time: 15722.4 ms [2020-11-11 22:15:02 main:574] : INFO : Epoch 72 | loss: 0.00309482 | val_loss: 0.00306513 | Time: 15728.9 ms [2020-11-11 22:15:18 main:574] : INFO : Epoch 73 | loss: 0.0029652 | val_loss: 0.002931 | Time: 15760.5 ms [2020-11-11 22:15:34 main:574] : INFO : Epoch 74 | loss: 0.00284138 | val_loss: 0.00280079 | Time: 15728.5 ms [2020-11-11 22:15:49 main:574] : INFO : Epoch 75 | loss: 0.00271866 | val_loss: 0.0026813 | Time: 15744.9 ms [2020-11-11 22:16:05 main:574] : INFO : Epoch 76 | loss: 0.00259985 | val_loss: 0.0025648 | Time: 15730.3 ms [2020-11-11 22:16:21 main:574] : INFO : Epoch 77 | loss: 0.00248398 | val_loss: 0.00245259 | Time: 15745 ms [2020-11-11 22:16:37 main:574] : INFO : Epoch 78 | loss: 0.00237279 | val_loss: 0.00233671 | Time: 15731.4 ms [2020-11-11 22:16:52 main:574] : INFO : Epoch 79 | loss: 0.00226393 | val_loss: 0.00222969 | Time: 15733.8 ms [2020-11-11 22:17:08 main:574] : INFO : Epoch 80 | loss: 0.00215912 | val_loss: 0.00212149 | Time: 15755.6 ms [2020-11-11 22:17:24 main:574] : INFO : Epoch 81 | loss: 0.0020576 | val_loss: 0.00202148 | Time: 15733.3 ms [2020-11-11 22:17:40 main:574] : INFO : Epoch 82 | loss: 0.00196009 | val_loss: 0.00192248 | Time: 15740.4 ms [2020-11-11 22:17:55 main:574] : INFO : Epoch 83 | loss: 0.00186606 | val_loss: 0.00183183 | Time: 15748.1 ms [2020-11-11 22:18:11 main:574] : INFO : Epoch 84 | loss: 0.00177587 | val_loss: 0.00173959 | Time: 15733.9 ms [2020-11-11 22:18:27 main:574] : INFO : Epoch 85 | loss: 0.00168912 | val_loss: 0.00165329 | Time: 15726.6 ms [2020-11-11 22:18:43 main:574] : INFO : Epoch 86 | loss: 0.00160587 | val_loss: 0.00157165 | Time: 15751.9 ms [2020-11-11 22:18:58 main:574] : INFO : Epoch 87 | loss: 0.00152634 | val_loss: 0.00149427 | Time: 15756.3 ms [2020-11-11 22:19:14 main:574] : INFO : Epoch 88 | loss: 0.0014491 | val_loss: 0.00141538 | Time: 15752.9 ms [2020-11-11 22:19:30 main:574] : INFO : Epoch 89 | loss: 0.0013763 | val_loss: 0.0013458 | Time: 15715.5 ms [2020-11-11 22:19:46 main:574] : INFO : Epoch 90 | loss: 0.00130626 | val_loss: 0.00127467 | Time: 15740.6 ms [2020-11-11 22:20:02 main:574] : INFO : Epoch 91 | loss: 0.00123993 | val_loss: 0.00121033 | Time: 15793.1 ms [2020-11-11 22:20:17 main:574] : INFO : Epoch 92 | loss: 0.00117634 | val_loss: 0.00114793 | Time: 15761.6 ms [2020-11-11 22:20:33 main:574] : INFO : Epoch 93 | loss: 0.00111657 | val_loss: 0.00108637 | Time: 15732.8 ms [2020-11-11 22:20:49 main:574] : INFO : Epoch 94 | loss: 0.00106015 | val_loss: 0.00103041 | Time: 15749.9 ms [2020-11-11 22:21:05 main:574] : INFO : Epoch 95 | loss: 0.00100468 | val_loss: 0.000977947 | Time: 15757 ms [2020-11-11 22:21:20 main:574] : INFO : Epoch 96 | loss: 0.000952823 | val_loss: 0.000929189 | Time: 15768.2 ms [2020-11-11 22:21:36 main:574] : INFO : Epoch 97 | loss: 0.000904616 | val_loss: 0.00087955 | Time: 15772.6 ms [2020-11-11 22:21:52 main:574] : INFO : Epoch 98 | loss: 0.000857985 | val_loss: 0.000833299 | Time: 15777.4 ms [2020-11-11 22:22:08 main:574] : INFO : Epoch 99 | loss: 0.00081403 | val_loss: 0.000790893 | Time: 15817.3 ms [2020-11-11 22:22:23 main:574] : INFO : Epoch 100 | loss: 0.000772645 | val_loss: 0.000749337 | Time: 15738.1 ms [2020-11-11 22:22:39 main:574] : INFO : Epoch 101 | loss: 0.000733063 | val_loss: 0.000711142 | Time: 15773.5 ms [2020-11-11 22:22:55 main:574] : INFO : Epoch 102 | loss: 0.000695809 | val_loss: 0.000674193 | Time: 15759.9 ms [2020-11-11 22:23:11 main:574] : INFO : Epoch 103 | loss: 0.000660864 | val_loss: 0.000641008 | Time: 15768.6 ms [2020-11-11 22:23:27 main:574] : INFO : Epoch 104 | loss: 0.000627119 | val_loss: 0.000607213 | Time: 15742.7 ms [2020-11-11 22:23:42 main:574] : INFO : Epoch 105 | loss: 0.000595202 | val_loss: 0.00057937 | Time: 15759.9 ms [2020-11-11 22:23:58 main:574] : INFO : Epoch 106 | loss: 0.000566268 | val_loss: 0.000548665 | Time: 15754.1 ms [2020-11-11 22:24:14 main:574] : INFO : Epoch 107 | loss: 0.00053776 | val_loss: 0.000519694 | Time: 15751.2 ms [2020-11-11 22:24:30 main:574] : INFO : Epoch 108 | loss: 0.000510648 | val_loss: 0.000494182 | Time: 15761.9 ms [2020-11-11 22:24:45 main:574] : INFO : Epoch 109 | loss: 0.000485696 | val_loss: 0.000470809 | Time: 15784.7 ms [2020-11-11 22:25:01 main:574] : INFO : Epoch 110 | loss: 0.000461402 | val_loss: 0.000449236 | Time: 15835 ms [2020-11-11 22:25:17 main:574] : INFO : Epoch 111 | loss: 0.000439217 | val_loss: 0.000424244 | Time: 15748.1 ms [2020-11-11 22:25:33 main:574] : INFO : Epoch 112 | loss: 0.00041753 | val_loss: 0.000404405 | Time: 15755 ms [2020-11-11 22:25:49 main:574] : INFO : Epoch 113 | loss: 0.000396823 | val_loss: 0.000384906 | Time: 15711.3 ms [2020-11-11 22:26:04 main:574] : INFO : Epoch 114 | loss: 0.000377926 | val_loss: 0.000366928 | Time: 15764.6 ms [2020-11-11 22:26:21 main:574] : INFO : Epoch 115 | loss: 0.00035983 | val_loss: 0.000348374 | Time: 16189.6 ms [2020-11-11 22:26:37 main:574] : INFO : Epoch 116 | loss: 0.000342576 | val_loss: 0.000332183 | Time: 16319.7 ms [2020-11-11 22:26:53 main:574] : INFO : Epoch 117 | loss: 0.000325867 | val_loss: 0.000316523 | Time: 15886.3 ms [2020-11-11 22:27:09 main:574] : INFO : Epoch 118 | loss: 0.000310621 | val_loss: 0.000300736 | Time: 15897.3 ms [2020-11-11 22:27:25 main:574] : INFO : Epoch 119 | loss: 0.00029578 | val_loss: 0.000286408 | Time: 15897.9 ms [2020-11-11 22:27:41 main:574] : INFO : Epoch 120 | loss: 0.000282872 | val_loss: 0.000274432 | Time: 15902.6 ms [2020-11-11 22:27:56 main:574] : INFO : Epoch 121 | loss: 0.00026925 | val_loss: 0.000259966 | Time: 15893.8 ms [2020-11-11 22:28:12 main:574] : INFO : Epoch 122 | loss: 0.000256805 | val_loss: 0.000249519 | Time: 15891.1 ms [2020-11-11 22:28:28 main:574] : INFO : Epoch 123 | loss: 0.000245026 | val_loss: 0.000237767 | Time: 15893.8 ms [2020-11-11 22:28:44 main:574] : INFO : Epoch 124 | loss: 0.000233998 | val_loss: 0.000227057 | Time: 15900.9 ms [2020-11-11 22:29:00 main:574] : INFO : Epoch 125 | loss: 0.000223573 | val_loss: 0.000216759 | Time: 15888.5 ms [2020-11-11 22:29:16 main:574] : INFO : Epoch 126 | loss: 0.000213804 | val_loss: 0.000208434 | Time: 15851.9 ms [2020-11-11 22:29:32 main:574] : INFO : Epoch 127 | loss: 0.000204704 | val_loss: 0.00020033 | Time: 15888.3 ms [2020-11-11 22:29:48 main:574] : INFO : Epoch 128 | loss: 0.000195545 | val_loss: 0.000190148 | Time: 15879.2 ms [2020-11-11 22:30:04 main:574] : INFO : Epoch 129 | loss: 0.000187254 | val_loss: 0.000180946 | Time: 15885.2 ms [2020-11-11 22:30:20 main:574] : INFO : Epoch 130 | loss: 0.000178931 | val_loss: 0.000172579 | Time: 15902.3 ms [2020-11-11 22:30:35 main:574] : INFO : Epoch 131 | loss: 0.000171885 | val_loss: 0.000166988 | Time: 15892.2 ms [2020-11-11 22:30:51 main:574] : INFO : Epoch 132 | loss: 0.000164341 | val_loss: 0.000160514 | Time: 15883 ms [2020-11-11 22:31:07 main:574] : INFO : Epoch 133 | loss: 0.000157474 | val_loss: 0.000153944 | Time: 15902.1 ms [2020-11-11 22:31:23 main:574] : INFO : Epoch 134 | loss: 0.000151018 | val_loss: 0.000148532 | Time: 15891.2 ms [2020-11-11 22:31:39 main:574] : INFO : Epoch 135 | loss: 0.00014567 | val_loss: 0.000139959 | Time: 15895.1 ms [2020-11-11 22:31:55 main:574] : INFO : Epoch 136 | loss: 0.000139741 | val_loss: 0.000134548 | Time: 15900.4 ms [2020-11-11 22:32:11 main:574] : INFO : Epoch 137 | loss: 0.000133923 | val_loss: 0.000130146 | Time: 15916.2 ms [2020-11-11 22:32:27 main:574] : INFO : Epoch 138 | loss: 0.000128891 | val_loss: 0.000126929 | Time: 15870.7 ms [2020-11-11 22:32:43 main:574] : INFO : Epoch 139 | loss: 0.000124342 | val_loss: 0.000119649 | Time: 15889.8 ms [2020-11-11 22:32:59 main:574] : INFO : Epoch 140 | loss: 0.00011909 | val_loss: 0.000115171 | Time: 15882.2 ms [2020-11-11 22:33:14 main:574] : INFO : Epoch 141 | loss: 0.000115564 | val_loss: 0.000111944 | Time: 15877.1 ms [2020-11-11 22:33:30 main:574] : INFO : Epoch 142 | loss: 0.000110859 | val_loss: 0.000110406 | Time: 15904 ms [2020-11-11 22:33:46 main:574] : INFO : Epoch 143 | loss: 0.000107956 | val_loss: 0.000104679 | Time: 15878.5 ms [2020-11-11 22:34:02 main:574] : INFO : Epoch 144 | loss: 0.000103218 | val_loss: 0.000101477 | Time: 15891.9 ms [2020-11-11 22:34:18 main:574] : INFO : Epoch 145 | loss: 9.95485e-05 | val_loss: 9.6599e-05 | Time: 15886.6 ms [2020-11-11 22:34:34 main:574] : INFO : Epoch 146 | loss: 9.64855e-05 | val_loss: 9.51482e-05 | Time: 15874.9 ms [2020-11-11 22:34:50 main:574] : INFO : Epoch 147 | loss: 9.33828e-05 | val_loss: 9.13695e-05 | Time: 15881.3 ms [2020-11-11 22:35:06 main:574] : INFO : Epoch 148 | loss: 9.05282e-05 | val_loss: 8.83326e-05 | Time: 15892.5 ms [2020-11-11 22:35:22 main:574] : INFO : Epoch 149 | loss: 8.72539e-05 | val_loss: 8.62835e-05 | Time: 15870.9 ms [2020-11-11 22:35:38 main:574] : INFO : Epoch 150 | loss: 8.51904e-05 | val_loss: 8.28543e-05 | Time: 15895.6 ms [2020-11-11 22:35:53 main:574] : INFO : Epoch 151 | loss: 8.22386e-05 | val_loss: 8.1011e-05 | Time: 15898.8 ms [2020-11-11 22:36:09 main:574] : INFO : Epoch 152 | loss: 7.97645e-05 | val_loss: 7.92113e-05 | Time: 15868.7 ms [2020-11-11 22:36:25 main:574] : INFO : Epoch 153 | loss: 7.7329e-05 | val_loss: 7.49747e-05 | Time: 15919.5 ms [2020-11-11 22:36:41 main:574] : INFO : Epoch 154 | loss: 7.50394e-05 | val_loss: 7.35727e-05 | Time: 15881.3 ms [2020-11-11 22:36:57 main:574] : INFO : Epoch 155 | loss: 7.26878e-05 | val_loss: 7.1515e-05 | Time: 15895.7 ms [2020-11-11 22:37:13 main:574] : INFO : Epoch 156 | loss: 7.13474e-05 | val_loss: 7.03756e-05 | Time: 15883 ms [2020-11-11 22:37:29 main:574] : INFO : Epoch 157 | loss: 6.94885e-05 | val_loss: 6.86264e-05 | Time: 15885.7 ms [2020-11-11 22:37:45 main:574] : INFO : Epoch 158 | loss: 6.74241e-05 | val_loss: 6.61193e-05 | Time: 15925.7 ms [2020-11-11 22:38:01 main:574] : INFO : Epoch 159 | loss: 6.54578e-05 | val_loss: 6.53477e-05 | Time: 15917.4 ms [2020-11-11 22:38:17 main:574] : INFO : Epoch 160 | loss: 6.37141e-05 | val_loss: 6.30585e-05 | Time: 15894.7 ms [2020-11-11 22:38:33 main:574] : INFO : Epoch 161 | loss: 6.23386e-05 | val_loss: 6.10489e-05 | Time: 15875.7 ms [2020-11-11 22:38:48 main:574] : INFO : Epoch 162 | loss: 6.04957e-05 | val_loss: 5.95396e-05 | Time: 15891.7 ms [2020-11-11 22:39:04 main:574] : INFO : Epoch 163 | loss: 5.93226e-05 | val_loss: 5.78801e-05 | Time: 15878.8 ms [2020-11-11 22:39:20 main:574] : INFO : Epoch 164 | loss: 5.78202e-05 | val_loss: 5.63102e-05 | Time: 15875.1 ms [2020-11-11 22:39:36 main:574] : INFO : Epoch 165 | loss: 5.6685e-05 | val_loss: 5.58033e-05 | Time: 15924 ms [2020-11-11 22:39:52 main:574] : INFO : Epoch 166 | loss: 5.53354e-05 | val_loss: 5.39371e-05 | Time: 15900.3 ms [2020-11-11 22:40:08 main:574] : INFO : Epoch 167 | loss: 5.38571e-05 | val_loss: 5.33615e-05 | Time: 15882.7 ms [2020-11-11 22:40:24 main:574] : INFO : Epoch 168 | loss: 5.30741e-05 | val_loss: 5.23843e-05 | Time: 15913.2 ms [2020-11-11 22:40:40 main:574] : INFO : Epoch 169 | loss: 5.10838e-05 | val_loss: 5.08721e-05 | Time: 15937.1 ms [2020-11-11 22:40:56 main:574] : INFO : Epoch 170 | loss: 5.05861e-05 | val_loss: 5.05102e-05 | Time: 15907.4 ms [2020-11-11 22:41:12 main:574] : INFO : Epoch 171 | loss: 4.93668e-05 | val_loss: 4.88074e-05 | Time: 15896.3 ms [2020-11-11 22:41:28 main:574] : INFO : Epoch 172 | loss: 4.86245e-05 | val_loss: 4.78906e-05 | Time: 15949.9 ms [2020-11-11 22:41:44 main:574] : INFO : Epoch 173 | loss: 4.74011e-05 | val_loss: 4.78079e-05 | Time: 15890 ms [2020-11-11 22:41:59 main:574] : INFO : Epoch 174 | loss: 4.6318e-05 | val_loss: 4.67622e-05 | Time: 15888.5 ms [2020-11-11 22:42:15 main:574] : INFO : Epoch 175 | loss: 4.54597e-05 | val_loss: 4.42593e-05 | Time: 15881.3 ms [2020-11-11 22:42:31 main:574] : INFO : Epoch 176 | loss: 4.45881e-05 | val_loss: 4.44431e-05 | Time: 15918.2 ms [2020-11-11 22:42:47 main:574] : INFO : Epoch 177 | loss: 4.36889e-05 | val_loss: 4.3715e-05 | Time: 15867 ms [2020-11-11 22:43:03 main:574] : INFO : Epoch 178 | loss: 4.30482e-05 | val_loss: 4.19712e-05 | Time: 15896.3 ms [2020-11-11 22:43:19 main:574] : INFO : Epoch 179 | loss: 4.21563e-05 | val_loss: 4.19477e-05 | Time: 15905.8 ms [2020-11-11 22:43:35 main:574] : INFO : Epoch 180 | loss: 4.15324e-05 | val_loss: 4.11965e-05 | Time: 15898.2 ms [2020-11-11 22:43:51 main:574] : INFO : Epoch 181 | loss: 4.03871e-05 | val_loss: 4.00823e-05 | Time: 15903 ms [2020-11-11 22:44:07 main:574] : INFO : Epoch 182 | loss: 4.01851e-05 | val_loss: 3.99658e-05 | Time: 15913.4 ms [2020-11-11 22:44:23 main:574] : INFO : Epoch 183 | loss: 3.90848e-05 | val_loss: 4.07754e-05 | Time: 15926.6 ms [2020-11-11 22:44:39 main:574] : INFO : Epoch 184 | loss: 3.83739e-05 | val_loss: 3.97874e-05 | Time: 15871.3 ms [2020-11-11 22:44:54 main:574] : INFO : Epoch 185 | loss: 3.79829e-05 | val_loss: 3.74805e-05 | Time: 15907.7 ms [2020-11-11 22:45:10 main:574] : INFO : Epoch 186 | loss: 3.75201e-05 | val_loss: 3.79658e-05 | Time: 15880.7 ms [2020-11-11 22:45:26 main:574] : INFO : Epoch 187 | loss: 3.66702e-05 | val_loss: 3.5924e-05 | Time: 15918.8 ms [2020-11-11 22:45:42 main:574] : INFO : Epoch 188 | loss: 3.59499e-05 | val_loss: 3.54437e-05 | Time: 15899.2 ms [2020-11-11 22:45:58 main:574] : INFO : Epoch 189 | loss: 3.56995e-05 | val_loss: 3.51035e-05 | Time: 15905.6 ms [2020-11-11 22:46:14 main:574] : INFO : Epoch 190 | loss: 3.50292e-05 | val_loss: 3.41749e-05 | Time: 15894.4 ms [2020-11-11 22:46:30 main:574] : INFO : Epoch 191 | loss: 3.42489e-05 | val_loss: 3.36378e-05 | Time: 15865.3 ms [2020-11-11 22:46:46 main:574] : INFO : Epoch 192 | loss: 3.37327e-05 | val_loss: 3.37968e-05 | Time: 15869.8 ms [2020-11-11 22:46:46 main:597] : INFO : Saving trained model to model-final.pt, val_loss 3.37968e-05 [2020-11-11 22:46:46 main:603] : INFO : Saving end state to config to file [2020-11-11 22:46:46 main:608] : INFO : Success, exiting.. 22:46:46 (1188): 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)