| Name | rand_automata_0025-1605108253-27966-0_1 |
| Workunit | 1291087 |
| 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, 8:02:25 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 4439 |
| Run time | 51 min 3 sec |
| CPU time | 50 min 53 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 |
<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) [2020-11-12 02:11:07 main:435] : INFO : Set logging level to 1 [2020-11-12 02:11:07 main:441] : INFO : Running in BOINC Client mode [2020-11-12 02:11:07 main:444] : INFO : Resolving all filenames [2020-11-12 02:11:07 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 (exists = 1) [2020-11-12 02:11:07 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1605108253-27966-0_1_r1408205398_1 (exists = 0) [2020-11-12 02:11:07 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1605108253-27966-0_1_r1408205398_0 (exists = 0) [2020-11-12 02:11:07 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-12 02:11:07 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-12 02:11:07 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 [2020-11-12 02:11:08 main:474] : INFO : Configuration: [2020-11-12 02:11:08 main:475] : INFO : Model type: LSTM [2020-11-12 02:11:08 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-12 02:11:08 main:477] : INFO : Max Epochs: 192 [2020-11-12 02:11:08 main:478] : INFO : Batch Size: 32 [2020-11-12 02:11:08 main:479] : INFO : Learning Rate: 0.001 [2020-11-12 02:11:08 main:480] : INFO : Patience: 10 [2020-11-12 02:11:08 main:481] : INFO : Hidden Width: 64 [2020-11-12 02:11:08 main:482] : INFO : # Recurrent Layers: 4 [2020-11-12 02:11:08 main:483] : INFO : # Backend Layers: 2 [2020-11-12 02:11:08 main:484] : INFO : # Threads: 1 [2020-11-12 02:11:08 main:486] : INFO : Preparing Dataset [2020-11-12 02:11:08 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 into memory [2020-11-12 02:11:08 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 into memory [2020-11-12 02:11:09 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-12 02:11:09 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 into memory [2020-11-12 02:11:09 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 into memory [2020-11-12 02:11:09 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-12 02:11:09 main:494] : INFO : Creating Model [2020-11-12 02:11:09 main:507] : INFO : Preparing config file [2020-11-12 02:11:09 main:519] : INFO : Creating new config file [2020-11-12 02:11:10 main:559] : INFO : Loading DataLoader into Memory [2020-11-12 02:11:10 main:562] : INFO : Starting Training [2020-11-12 02:11:26 main:574] : INFO : Epoch 1 | loss: 0.0662616 | val_loss: 0.0657267 | Time: 16093.9 ms [2020-11-12 02:11:42 main:574] : INFO : Epoch 2 | loss: 0.0649394 | val_loss: 0.0628891 | Time: 15861.3 ms [2020-11-12 02:11:58 main:574] : INFO : Epoch 3 | loss: 0.0611933 | val_loss: 0.0595721 | Time: 15862.8 ms [2020-11-12 02:12:14 main:574] : INFO : Epoch 4 | loss: 0.058297 | val_loss: 0.0570024 | Time: 15852.9 ms [2020-11-12 02:12:29 main:574] : INFO : Epoch 5 | loss: 0.056084 | val_loss: 0.0551069 | Time: 15890.2 ms [2020-11-12 02:12:45 main:574] : INFO : Epoch 6 | loss: 0.0544459 | val_loss: 0.0537672 | Time: 15874.1 ms [2020-11-12 02:13:01 main:574] : INFO : Epoch 7 | loss: 0.0531605 | val_loss: 0.0525513 | Time: 15843.1 ms [2020-11-12 02:13:17 main:574] : INFO : Epoch 8 | loss: 0.0519902 | val_loss: 0.0514879 | Time: 15880.2 ms [2020-11-12 02:13:33 main:574] : INFO : Epoch 9 | loss: 0.0508638 | val_loss: 0.0503546 | Time: 15852.6 ms [2020-11-12 02:13:49 main:574] : INFO : Epoch 10 | loss: 0.049654 | val_loss: 0.0490066 | Time: 15868.4 ms [2020-11-12 02:14:05 main:574] : INFO : Epoch 11 | loss: 0.0483861 | val_loss: 0.0478448 | Time: 15852.1 ms [2020-11-12 02:14:21 main:574] : INFO : Epoch 12 | loss: 0.0469993 | val_loss: 0.0463965 | Time: 15894.9 ms [2020-11-12 02:14:37 main:574] : INFO : Epoch 13 | loss: 0.045438 | val_loss: 0.0448256 | Time: 15846.2 ms [2020-11-12 02:14:52 main:574] : INFO : Epoch 14 | loss: 0.0436952 | val_loss: 0.043191 | Time: 15843.7 ms [2020-11-12 02:15:08 main:574] : INFO : Epoch 15 | loss: 0.0419042 | val_loss: 0.0414582 | Time: 15872.7 ms [2020-11-12 02:15:24 main:574] : INFO : Epoch 16 | loss: 0.039695 | val_loss: 0.0392762 | Time: 15859 ms [2020-11-12 02:15:40 main:574] : INFO : Epoch 17 | loss: 0.0375859 | val_loss: 0.0372279 | Time: 15831.2 ms [2020-11-12 02:15:56 main:574] : INFO : Epoch 18 | loss: 0.0351121 | val_loss: 0.0357785 | Time: 15883.9 ms [2020-11-12 02:16:12 main:574] : INFO : Epoch 19 | loss: 0.0328309 | val_loss: 0.0328844 | Time: 15869.3 ms [2020-11-12 02:16:28 main:574] : INFO : Epoch 20 | loss: 0.0309319 | val_loss: 0.0318011 | Time: 15848.4 ms [2020-11-12 02:16:44 main:574] : INFO : Epoch 21 | loss: 0.0301905 | val_loss: 0.0286929 | Time: 15895 ms [2020-11-12 02:16:59 main:574] : INFO : Epoch 22 | loss: 0.0284838 | val_loss: 0.02865 | Time: 15863.5 ms [2020-11-12 02:17:15 main:574] : INFO : Epoch 23 | loss: 0.0312764 | val_loss: 0.0263278 | Time: 15848.8 ms [2020-11-12 02:17:31 main:574] : INFO : Epoch 24 | loss: 0.0241135 | val_loss: 0.0263394 | Time: 15885.2 ms [2020-11-12 02:17:47 main:574] : INFO : Epoch 25 | loss: 0.025783 | val_loss: 0.0218513 | Time: 15849.2 ms [2020-11-12 02:18:04 main:574] : INFO : Epoch 26 | loss: 0.0191678 | val_loss: 0.0257474 | Time: 16615.9 ms [2020-11-12 02:18:20 main:574] : INFO : Epoch 27 | loss: 0.0220731 | val_loss: 0.0449732 | Time: 15954.8 ms [2020-11-12 02:18:36 main:574] : INFO : Epoch 28 | loss: 0.0305036 | val_loss: 0.0227175 | Time: 15864.6 ms [2020-11-12 02:18:51 main:574] : INFO : Epoch 29 | loss: 0.018758 | val_loss: 0.0186343 | Time: 15845.1 ms [2020-11-12 02:19:07 main:574] : INFO : Epoch 30 | loss: 0.0516171 | val_loss: 0.0539338 | Time: 15863 ms [2020-11-12 02:19:23 main:574] : INFO : Epoch 31 | loss: 0.0491328 | val_loss: 0.043342 | Time: 15868.7 ms [2020-11-12 02:19:39 main:574] : INFO : Epoch 32 | loss: 0.0306744 | val_loss: 0.0232277 | Time: 15894.9 ms [2020-11-12 02:19:55 main:574] : INFO : Epoch 33 | loss: 0.0186606 | val_loss: 0.020656 | Time: 15864.6 ms [2020-11-12 02:20:11 main:574] : INFO : Epoch 34 | loss: 0.0207125 | val_loss: 0.0174765 | Time: 15858 ms [2020-11-12 02:20:27 main:574] : INFO : Epoch 35 | loss: 0.0170985 | val_loss: 0.0142157 | Time: 15857.6 ms [2020-11-12 02:20:43 main:574] : INFO : Epoch 36 | loss: 0.01274 | val_loss: 0.0129637 | Time: 15849.2 ms [2020-11-12 02:20:58 main:574] : INFO : Epoch 37 | loss: 0.0117826 | val_loss: 0.0123629 | Time: 15862.1 ms [2020-11-12 02:21:14 main:574] : INFO : Epoch 38 | loss: 0.0116757 | val_loss: 0.0111372 | Time: 15865.1 ms [2020-11-12 02:21:30 main:574] : INFO : Epoch 39 | loss: 0.0106248 | val_loss: 0.0106492 | Time: 15857.8 ms [2020-11-12 02:21:46 main:574] : INFO : Epoch 40 | loss: 0.010096 | val_loss: 0.010202 | Time: 15880.2 ms [2020-11-12 02:22:02 main:574] : INFO : Epoch 41 | loss: 0.00972572 | val_loss: 0.0097829 | Time: 15872.2 ms [2020-11-12 02:22:18 main:574] : INFO : Epoch 42 | loss: 0.00936872 | val_loss: 0.00945655 | Time: 15881.3 ms [2020-11-12 02:22:34 main:574] : INFO : Epoch 43 | loss: 0.00908045 | val_loss: 0.00916267 | Time: 15896.1 ms [2020-11-12 02:22:50 main:574] : INFO : Epoch 44 | loss: 0.00882262 | val_loss: 0.00890787 | Time: 15849.9 ms [2020-11-12 02:23:05 main:574] : INFO : Epoch 45 | loss: 0.00886425 | val_loss: 0.00869468 | Time: 15852 ms [2020-11-12 02:23:21 main:574] : INFO : Epoch 46 | loss: 0.00882439 | val_loss: 0.0140462 | Time: 15846.9 ms [2020-11-12 02:23:37 main:574] : INFO : Epoch 47 | loss: 0.014501 | val_loss: 0.00930338 | Time: 15912.4 ms [2020-11-12 02:23:53 main:574] : INFO : Epoch 48 | loss: 0.00864788 | val_loss: 0.00835019 | Time: 15848.9 ms [2020-11-12 02:24:09 main:574] : INFO : Epoch 49 | loss: 0.00802367 | val_loss: 0.00795243 | Time: 15864.8 ms [2020-11-12 02:24:25 main:574] : INFO : Epoch 50 | loss: 0.0076979 | val_loss: 0.00773712 | Time: 15892.4 ms [2020-11-12 02:24:41 main:574] : INFO : Epoch 51 | loss: 0.00745959 | val_loss: 0.00741925 | Time: 15870.2 ms [2020-11-12 02:24:57 main:574] : INFO : Epoch 52 | loss: 0.00722899 | val_loss: 0.00721195 | Time: 15847.8 ms [2020-11-12 02:25:13 main:574] : INFO : Epoch 53 | loss: 0.00702616 | val_loss: 0.00701351 | Time: 15847.7 ms [2020-11-12 02:25:28 main:574] : INFO : Epoch 54 | loss: 0.00682932 | val_loss: 0.00682334 | Time: 15877.2 ms [2020-11-12 02:25:44 main:574] : INFO : Epoch 55 | loss: 0.00664404 | val_loss: 0.00663146 | Time: 15898.4 ms [2020-11-12 02:26:00 main:574] : INFO : Epoch 56 | loss: 0.0064593 | val_loss: 0.00645599 | Time: 15891.4 ms [2020-11-12 02:26:16 main:574] : INFO : Epoch 57 | loss: 0.00627947 | val_loss: 0.00627145 | Time: 15830 ms [2020-11-12 02:26:32 main:574] : INFO : Epoch 58 | loss: 0.00609765 | val_loss: 0.00608997 | Time: 15928.2 ms [2020-11-12 02:26:48 main:574] : INFO : Epoch 59 | loss: 0.00592044 | val_loss: 0.00592083 | Time: 15889.3 ms [2020-11-12 02:27:04 main:574] : INFO : Epoch 60 | loss: 0.00574327 | val_loss: 0.0057433 | Time: 15856.9 ms [2020-11-12 02:27:20 main:574] : INFO : Epoch 61 | loss: 0.00557207 | val_loss: 0.00557466 | Time: 15858.2 ms [2020-11-12 02:27:36 main:574] : INFO : Epoch 62 | loss: 0.00540535 | val_loss: 0.00537864 | Time: 15880.1 ms [2020-11-12 02:27:51 main:574] : INFO : Epoch 63 | loss: 0.00524045 | val_loss: 0.00521032 | Time: 15872.5 ms [2020-11-12 02:28:07 main:574] : INFO : Epoch 64 | loss: 0.00507757 | val_loss: 0.00504634 | Time: 15864.9 ms [2020-11-12 02:28:23 main:574] : INFO : Epoch 65 | loss: 0.004918 | val_loss: 0.00489273 | Time: 15841.2 ms [2020-11-12 02:28:39 main:574] : INFO : Epoch 66 | loss: 0.00476143 | val_loss: 0.00473178 | Time: 15884.1 ms [2020-11-12 02:28:55 main:574] : INFO : Epoch 67 | loss: 0.00460626 | val_loss: 0.0045813 | Time: 15859.7 ms [2020-11-12 02:29:11 main:574] : INFO : Epoch 68 | loss: 0.00445553 | val_loss: 0.00442382 | Time: 15848 ms [2020-11-12 02:29:27 main:574] : INFO : Epoch 69 | loss: 0.004307 | val_loss: 0.00427788 | Time: 15879.4 ms [2020-11-12 02:29:43 main:574] : INFO : Epoch 70 | loss: 0.00416297 | val_loss: 0.00413486 | Time: 15850.3 ms [2020-11-12 02:29:58 main:574] : INFO : Epoch 71 | loss: 0.00402177 | val_loss: 0.00399725 | Time: 15826.5 ms [2020-11-12 02:30:14 main:574] : INFO : Epoch 72 | loss: 0.00388586 | val_loss: 0.00385741 | Time: 15867.7 ms [2020-11-12 02:30:30 main:574] : INFO : Epoch 73 | loss: 0.00375184 | val_loss: 0.00372615 | Time: 15834.3 ms [2020-11-12 02:30:46 main:574] : INFO : Epoch 74 | loss: 0.00362245 | val_loss: 0.00359245 | Time: 15921.2 ms [2020-11-12 02:31:02 main:574] : INFO : Epoch 75 | loss: 0.00349685 | val_loss: 0.0034668 | Time: 15853.5 ms [2020-11-12 02:31:18 main:574] : INFO : Epoch 76 | loss: 0.00337471 | val_loss: 0.00334818 | Time: 15838.7 ms [2020-11-12 02:31:34 main:574] : INFO : Epoch 77 | loss: 0.0032562 | val_loss: 0.00323156 | Time: 15851.1 ms [2020-11-12 02:31:50 main:574] : INFO : Epoch 78 | loss: 0.00314055 | val_loss: 0.00311595 | Time: 15864 ms [2020-11-12 02:32:05 main:574] : INFO : Epoch 79 | loss: 0.0030305 | val_loss: 0.00300602 | Time: 15855.2 ms [2020-11-12 02:32:21 main:574] : INFO : Epoch 80 | loss: 0.00292394 | val_loss: 0.00289802 | Time: 15867.6 ms [2020-11-12 02:32:37 main:574] : INFO : Epoch 81 | loss: 0.002821 | val_loss: 0.00279687 | Time: 15858.3 ms [2020-11-12 02:32:53 main:574] : INFO : Epoch 82 | loss: 0.00271998 | val_loss: 0.00269665 | Time: 15908 ms [2020-11-12 02:33:09 main:574] : INFO : Epoch 83 | loss: 0.00262327 | val_loss: 0.00260036 | Time: 15865.5 ms [2020-11-12 02:33:25 main:574] : INFO : Epoch 84 | loss: 0.00253111 | val_loss: 0.00250955 | Time: 15905.1 ms [2020-11-12 02:33:41 main:574] : INFO : Epoch 85 | loss: 0.00244018 | val_loss: 0.00241819 | Time: 15926.9 ms [2020-11-12 02:33:57 main:574] : INFO : Epoch 86 | loss: 0.0023538 | val_loss: 0.00233585 | Time: 15934.2 ms [2020-11-12 02:34:13 main:574] : INFO : Epoch 87 | loss: 0.00226978 | val_loss: 0.00225033 | Time: 15892.1 ms [2020-11-12 02:34:29 main:574] : INFO : Epoch 88 | loss: 0.00218851 | val_loss: 0.00216735 | Time: 15886 ms [2020-11-12 02:34:44 main:574] : INFO : Epoch 89 | loss: 0.0021106 | val_loss: 0.00209016 | Time: 15892.2 ms [2020-11-12 02:35:00 main:574] : INFO : Epoch 90 | loss: 0.00203258 | val_loss: 0.00201992 | Time: 15901.6 ms [2020-11-12 02:35:16 main:574] : INFO : Epoch 91 | loss: 0.00196025 | val_loss: 0.00194461 | Time: 15893.2 ms [2020-11-12 02:35:32 main:574] : INFO : Epoch 92 | loss: 0.00188686 | val_loss: 0.00187122 | Time: 15913.9 ms [2020-11-12 02:35:48 main:574] : INFO : Epoch 93 | loss: 0.00181665 | val_loss: 0.0018045 | Time: 15910.6 ms [2020-11-12 02:36:04 main:574] : INFO : Epoch 94 | loss: 0.0017507 | val_loss: 0.00173387 | Time: 15886.1 ms [2020-11-12 02:36:20 main:574] : INFO : Epoch 95 | loss: 0.00168446 | val_loss: 0.00167292 | Time: 15923.6 ms [2020-11-12 02:36:36 main:574] : INFO : Epoch 96 | loss: 0.00162145 | val_loss: 0.00161111 | Time: 15896.4 ms [2020-11-12 02:36:52 main:574] : INFO : Epoch 97 | loss: 0.00156096 | val_loss: 0.00154997 | Time: 15874.3 ms [2020-11-12 02:37:08 main:574] : INFO : Epoch 98 | loss: 0.00150113 | val_loss: 0.00149125 | Time: 15900 ms [2020-11-12 02:37:24 main:574] : INFO : Epoch 99 | loss: 0.00144468 | val_loss: 0.00143076 | Time: 15888.5 ms [2020-11-12 02:37:40 main:574] : INFO : Epoch 100 | loss: 0.00138925 | val_loss: 0.0013802 | Time: 15913.6 ms [2020-11-12 02:37:55 main:574] : INFO : Epoch 101 | loss: 0.00133819 | val_loss: 0.00132707 | Time: 15891 ms [2020-11-12 02:38:11 main:574] : INFO : Epoch 102 | loss: 0.00128521 | val_loss: 0.00128289 | Time: 15923.5 ms [2020-11-12 02:38:27 main:574] : INFO : Epoch 103 | loss: 0.00123593 | val_loss: 0.00122869 | Time: 15919.7 ms [2020-11-12 02:38:43 main:574] : INFO : Epoch 104 | loss: 0.00118897 | val_loss: 0.00118259 | Time: 15929.4 ms [2020-11-12 02:38:59 main:574] : INFO : Epoch 105 | loss: 0.00114378 | val_loss: 0.00113574 | Time: 15918.7 ms [2020-11-12 02:39:15 main:574] : INFO : Epoch 106 | loss: 0.00110143 | val_loss: 0.00109414 | Time: 15924.5 ms [2020-11-12 02:39:31 main:574] : INFO : Epoch 107 | loss: 0.00105951 | val_loss: 0.00106103 | Time: 15853 ms [2020-11-12 02:39:47 main:574] : INFO : Epoch 108 | loss: 0.00102129 | val_loss: 0.00101846 | Time: 15865.6 ms [2020-11-12 02:40:03 main:574] : INFO : Epoch 109 | loss: 0.000984031 | val_loss: 0.000977028 | Time: 15879.3 ms [2020-11-12 02:40:19 main:574] : INFO : Epoch 110 | loss: 0.000947445 | val_loss: 0.000944212 | Time: 15873.5 ms [2020-11-12 02:40:35 main:574] : INFO : Epoch 111 | loss: 0.000913073 | val_loss: 0.000912162 | Time: 15934 ms [2020-11-12 02:40:51 main:574] : INFO : Epoch 112 | loss: 0.000881493 | val_loss: 0.000877859 | Time: 15896.6 ms [2020-11-12 02:41:06 main:574] : INFO : Epoch 113 | loss: 0.000851494 | val_loss: 0.000850611 | Time: 15901.1 ms [2020-11-12 02:41:22 main:574] : INFO : Epoch 114 | loss: 0.000820856 | val_loss: 0.000817763 | Time: 15887.6 ms [2020-11-12 02:41:38 main:574] : INFO : Epoch 115 | loss: 0.000791979 | val_loss: 0.000791847 | Time: 15879.9 ms [2020-11-12 02:41:54 main:574] : INFO : Epoch 116 | loss: 0.000764416 | val_loss: 0.000764743 | Time: 15943.5 ms [2020-11-12 02:42:10 main:574] : INFO : Epoch 117 | loss: 0.000738164 | val_loss: 0.000738871 | Time: 15882.3 ms [2020-11-12 02:42:26 main:574] : INFO : Epoch 118 | loss: 0.000714535 | val_loss: 0.00071552 | Time: 15865.4 ms [2020-11-12 02:42:42 main:574] : INFO : Epoch 119 | loss: 0.000691509 | val_loss: 0.000691152 | Time: 15911.6 ms [2020-11-12 02:42:58 main:574] : INFO : Epoch 120 | loss: 0.00066765 | val_loss: 0.000664765 | Time: 15876.8 ms [2020-11-12 02:43:14 main:574] : INFO : Epoch 121 | loss: 0.000645317 | val_loss: 0.000645115 | Time: 15872 ms [2020-11-12 02:43:30 main:574] : INFO : Epoch 122 | loss: 0.000625066 | val_loss: 0.000626147 | Time: 15935 ms [2020-11-12 02:43:46 main:574] : INFO : Epoch 123 | loss: 0.000604549 | val_loss: 0.000604764 | Time: 15901.1 ms [2020-11-12 02:44:01 main:574] : INFO : Epoch 124 | loss: 0.000584195 | val_loss: 0.000584675 | Time: 15893 ms [2020-11-12 02:44:17 main:574] : INFO : Epoch 125 | loss: 0.000565761 | val_loss: 0.000566672 | Time: 15884.3 ms [2020-11-12 02:44:33 main:574] : INFO : Epoch 126 | loss: 0.000547328 | val_loss: 0.000548824 | Time: 15881.1 ms [2020-11-12 02:44:49 main:574] : INFO : Epoch 127 | loss: 0.000530519 | val_loss: 0.000532123 | Time: 15928 ms [2020-11-12 02:45:05 main:574] : INFO : Epoch 128 | loss: 0.000515543 | val_loss: 0.000517061 | Time: 15876.9 ms [2020-11-12 02:45:21 main:574] : INFO : Epoch 129 | loss: 0.000499743 | val_loss: 0.000505253 | Time: 15912.2 ms [2020-11-12 02:45:37 main:574] : INFO : Epoch 130 | loss: 0.000484638 | val_loss: 0.000490111 | Time: 15865.6 ms [2020-11-12 02:45:53 main:574] : INFO : Epoch 131 | loss: 0.000471171 | val_loss: 0.000474492 | Time: 15924.1 ms [2020-11-12 02:46:09 main:574] : INFO : Epoch 132 | loss: 0.000458237 | val_loss: 0.000461681 | Time: 15903.5 ms [2020-11-12 02:46:25 main:574] : INFO : Epoch 133 | loss: 0.000445035 | val_loss: 0.000449597 | Time: 15868.8 ms [2020-11-12 02:46:41 main:574] : INFO : Epoch 134 | loss: 0.000433809 | val_loss: 0.000437255 | Time: 15909.7 ms [2020-11-12 02:46:56 main:574] : INFO : Epoch 135 | loss: 0.000421348 | val_loss: 0.000427179 | Time: 15901.7 ms [2020-11-12 02:47:12 main:574] : INFO : Epoch 136 | loss: 0.000410404 | val_loss: 0.000414637 | Time: 15859.1 ms [2020-11-12 02:47:28 main:574] : INFO : Epoch 137 | loss: 0.000400028 | val_loss: 0.000403975 | Time: 15899.3 ms [2020-11-12 02:47:44 main:574] : INFO : Epoch 138 | loss: 0.000389538 | val_loss: 0.000395368 | Time: 15890.7 ms [2020-11-12 02:48:00 main:574] : INFO : Epoch 139 | loss: 0.000379831 | val_loss: 0.000385755 | Time: 16358.8 ms [2020-11-12 02:48:17 main:574] : INFO : Epoch 140 | loss: 0.000370649 | val_loss: 0.000375738 | Time: 16192.9 ms [2020-11-12 02:48:33 main:574] : INFO : Epoch 141 | loss: 0.000361678 | val_loss: 0.000366577 | Time: 15905.5 ms [2020-11-12 02:48:49 main:574] : INFO : Epoch 142 | loss: 0.000353717 | val_loss: 0.000360873 | Time: 15918.7 ms [2020-11-12 02:49:04 main:574] : INFO : Epoch 143 | loss: 0.000344956 | val_loss: 0.000351069 | Time: 15922.1 ms [2020-11-12 02:49:20 main:574] : INFO : Epoch 144 | loss: 0.000337818 | val_loss: 0.000344592 | Time: 15903.5 ms [2020-11-12 02:49:36 main:574] : INFO : Epoch 145 | loss: 0.000330123 | val_loss: 0.000335914 | Time: 15896 ms [2020-11-12 02:49:52 main:574] : INFO : Epoch 146 | loss: 0.000322864 | val_loss: 0.000331125 | Time: 15872.8 ms [2020-11-12 02:50:08 main:574] : INFO : Epoch 147 | loss: 0.000316032 | val_loss: 0.000323255 | Time: 15903 ms [2020-11-12 02:50:24 main:574] : INFO : Epoch 148 | loss: 0.000308997 | val_loss: 0.000316065 | Time: 15912.9 ms [2020-11-12 02:50:40 main:574] : INFO : Epoch 149 | loss: 0.000302485 | val_loss: 0.000311425 | Time: 15916.3 ms [2020-11-12 02:50:56 main:574] : INFO : Epoch 150 | loss: 0.000296583 | val_loss: 0.000304237 | Time: 15889.6 ms [2020-11-12 02:51:12 main:574] : INFO : Epoch 151 | loss: 0.00029078 | val_loss: 0.000296511 | Time: 15899.6 ms [2020-11-12 02:51:28 main:574] : INFO : Epoch 152 | loss: 0.000284537 | val_loss: 0.00029323 | Time: 15880.7 ms [2020-11-12 02:51:44 main:574] : INFO : Epoch 153 | loss: 0.000279028 | val_loss: 0.000288757 | Time: 15905.3 ms [2020-11-12 02:51:59 main:574] : INFO : Epoch 154 | loss: 0.000273861 | val_loss: 0.000278855 | Time: 15868.4 ms [2020-11-12 02:52:15 main:574] : INFO : Epoch 155 | loss: 0.000268578 | val_loss: 0.000274475 | Time: 15893.8 ms [2020-11-12 02:52:31 main:574] : INFO : Epoch 156 | loss: 0.000263528 | val_loss: 0.000272079 | Time: 15878.5 ms [2020-11-12 02:52:47 main:574] : INFO : Epoch 157 | loss: 0.000258778 | val_loss: 0.000268119 | Time: 15882.9 ms [2020-11-12 02:53:03 main:574] : INFO : Epoch 158 | loss: 0.000254951 | val_loss: 0.00026589 | Time: 15912.7 ms [2020-11-12 02:53:19 main:574] : INFO : Epoch 159 | loss: 0.000250224 | val_loss: 0.000258691 | Time: 15896.4 ms [2020-11-12 02:53:35 main:574] : INFO : Epoch 160 | loss: 0.000245701 | val_loss: 0.000255545 | Time: 15879.6 ms [2020-11-12 02:53:51 main:574] : INFO : Epoch 161 | loss: 0.00024159 | val_loss: 0.000251101 | Time: 15873.9 ms [2020-11-12 02:54:07 main:574] : INFO : Epoch 162 | loss: 0.000237661 | val_loss: 0.000245287 | Time: 15888.8 ms [2020-11-12 02:54:23 main:574] : INFO : Epoch 163 | loss: 0.00023391 | val_loss: 0.000241471 | Time: 15870.2 ms [2020-11-12 02:54:39 main:574] : INFO : Epoch 164 | loss: 0.000229562 | val_loss: 0.000239019 | Time: 15959.8 ms [2020-11-12 02:54:54 main:574] : INFO : Epoch 165 | loss: 0.000226068 | val_loss: 0.000235986 | Time: 15897.4 ms [2020-11-12 02:55:10 main:574] : INFO : Epoch 166 | loss: 0.000222993 | val_loss: 0.000230023 | Time: 15914.2 ms [2020-11-12 02:55:26 main:574] : INFO : Epoch 167 | loss: 0.000219608 | val_loss: 0.000227745 | Time: 15889 ms [2020-11-12 02:55:42 main:574] : INFO : Epoch 168 | loss: 0.000215684 | val_loss: 0.000223201 | Time: 15900.9 ms [2020-11-12 02:55:58 main:574] : INFO : Epoch 169 | loss: 0.000212843 | val_loss: 0.000223082 | Time: 15914 ms [2020-11-12 02:56:14 main:574] : INFO : Epoch 170 | loss: 0.000209966 | val_loss: 0.000219334 | Time: 15877.2 ms [2020-11-12 02:56:30 main:574] : INFO : Epoch 171 | loss: 0.000206689 | val_loss: 0.000214347 | Time: 15894.9 ms [2020-11-12 02:56:46 main:574] : INFO : Epoch 172 | loss: 0.000204307 | val_loss: 0.000212995 | Time: 15973 ms [2020-11-12 02:57:02 main:574] : INFO : Epoch 173 | loss: 0.000201774 | val_loss: 0.000209645 | Time: 15908 ms [2020-11-12 02:57:18 main:574] : INFO : Epoch 174 | loss: 0.000198486 | val_loss: 0.000206842 | Time: 15914.9 ms [2020-11-12 02:57:34 main:574] : INFO : Epoch 175 | loss: 0.000196458 | val_loss: 0.000205082 | Time: 15902.7 ms [2020-11-12 02:57:50 main:574] : INFO : Epoch 176 | loss: 0.000193983 | val_loss: 0.000202293 | Time: 15920 ms [2020-11-12 02:58:06 main:574] : INFO : Epoch 177 | loss: 0.000190741 | val_loss: 0.000203168 | Time: 15906.3 ms [2020-11-12 02:58:21 main:574] : INFO : Epoch 178 | loss: 0.000188904 | val_loss: 0.000197142 | Time: 15911 ms [2020-11-12 02:58:37 main:574] : INFO : Epoch 179 | loss: 0.000186717 | val_loss: 0.000196043 | Time: 15891.5 ms [2020-11-12 02:58:53 main:574] : INFO : Epoch 180 | loss: 0.000184333 | val_loss: 0.000191585 | Time: 15923.4 ms [2020-11-12 02:59:09 main:574] : INFO : Epoch 181 | loss: 0.00018168 | val_loss: 0.000190971 | Time: 15897.3 ms [2020-11-12 02:59:25 main:574] : INFO : Epoch 182 | loss: 0.000179167 | val_loss: 0.000188846 | Time: 15874.4 ms [2020-11-12 02:59:41 main:574] : INFO : Epoch 183 | loss: 0.000177577 | val_loss: 0.000185579 | Time: 15951.7 ms [2020-11-12 02:59:57 main:574] : INFO : Epoch 184 | loss: 0.000175718 | val_loss: 0.000183115 | Time: 15947.9 ms [2020-11-12 03:00:13 main:574] : INFO : Epoch 185 | loss: 0.000173004 | val_loss: 0.000181564 | Time: 15916.1 ms [2020-11-12 03:00:29 main:574] : INFO : Epoch 186 | loss: 0.000171487 | val_loss: 0.000181053 | Time: 15921.9 ms [2020-11-12 03:00:45 main:574] : INFO : Epoch 187 | loss: 0.000170037 | val_loss: 0.000177957 | Time: 15938.2 ms [2020-11-12 03:01:01 main:574] : INFO : Epoch 188 | loss: 0.000167102 | val_loss: 0.000178185 | Time: 15896.9 ms [2020-11-12 03:01:17 main:574] : INFO : Epoch 189 | loss: 0.000165954 | val_loss: 0.000173497 | Time: 15892.3 ms [2020-11-12 03:01:33 main:574] : INFO : Epoch 190 | loss: 0.000164735 | val_loss: 0.000176485 | Time: 15907.1 ms [2020-11-12 03:01:49 main:574] : INFO : Epoch 191 | loss: 0.000162381 | val_loss: 0.000172967 | Time: 15893.1 ms [2020-11-12 03:02:04 main:574] : INFO : Epoch 192 | loss: 0.000161066 | val_loss: 0.000171411 | Time: 15891.8 ms [2020-11-12 03:02:04 main:597] : INFO : Saving trained model to model-final.pt, val_loss 0.000171411 [2020-11-12 03:02:04 main:603] : INFO : Saving end state to config to file [2020-11-12 03:02:04 main:608] : INFO : Success, exiting.. 03:02:04 (3764): 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)