| Name | rand_automata_0006-1605109697-16529-0_0 |
| Workunit | 1293838 |
| Created | 11 Nov 2020, 15:48:20 UTC |
| Sent | 11 Nov 2020, 21:54:27 UTC |
| Report deadline | 19 Nov 2020, 21:54:27 UTC |
| Received | 12 Nov 2020, 4:38:39 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 4439 |
| Run time | 51 min 30 sec |
| CPU time | 51 min 11 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) [2020-11-11 22:46:54 main:435] : INFO : Set logging level to 1 [2020-11-11 22:46:54 main:441] : INFO : Running in BOINC Client mode [2020-11-11 22:46:54 main:444] : INFO : Resolving all filenames [2020-11-11 22:46:54 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0006-train-val-dataset.hdf5 (exists = 1) [2020-11-11 22:46:54 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0006-1605109697-16529-0_0_r863118136_1 (exists = 0) [2020-11-11 22:46:54 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0006-1605109697-16529-0_0_r863118136_0 (exists = 0) [2020-11-11 22:46:54 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-11 22:46:54 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-11 22:46:54 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0006-train-val-dataset.hdf5 [2020-11-11 22:46:54 main:474] : INFO : Configuration: [2020-11-11 22:46:54 main:475] : INFO : Model type: LSTM [2020-11-11 22:46:54 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-11 22:46:54 main:477] : INFO : Max Epochs: 192 [2020-11-11 22:46:54 main:478] : INFO : Batch Size: 32 [2020-11-11 22:46:54 main:479] : INFO : Learning Rate: 0.001 [2020-11-11 22:46:54 main:480] : INFO : Patience: 10 [2020-11-11 22:46:54 main:481] : INFO : Hidden Width: 64 [2020-11-11 22:46:54 main:482] : INFO : # Recurrent Layers: 4 [2020-11-11 22:46:54 main:483] : INFO : # Backend Layers: 2 [2020-11-11 22:46:54 main:484] : INFO : # Threads: 1 [2020-11-11 22:46:54 main:486] : INFO : Preparing Dataset [2020-11-11 22:46:54 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0006-train-val-dataset.hdf5 into memory [2020-11-11 22:46:54 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0006-train-val-dataset.hdf5 into memory [2020-11-11 22:46:55 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-11 22:46:55 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0006-train-val-dataset.hdf5 into memory [2020-11-11 22:46:55 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0006-train-val-dataset.hdf5 into memory [2020-11-11 22:46:55 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-11 22:46:55 main:494] : INFO : Creating Model [2020-11-11 22:46:55 main:507] : INFO : Preparing config file [2020-11-11 22:46:55 main:519] : INFO : Creating new config file [2020-11-11 22:46:56 main:559] : INFO : Loading DataLoader into Memory [2020-11-11 22:46:56 main:562] : INFO : Starting Training [2020-11-11 22:47:12 main:574] : INFO : Epoch 1 | loss: 0.0661616 | val_loss: 0.0659728 | Time: 16136.9 ms [2020-11-11 22:47:28 main:574] : INFO : Epoch 2 | loss: 0.0655486 | val_loss: 0.0650019 | Time: 15895.4 ms [2020-11-11 22:47:44 main:574] : INFO : Epoch 3 | loss: 0.0633823 | val_loss: 0.061738 | Time: 15928.8 ms [2020-11-11 22:48:00 main:574] : INFO : Epoch 4 | loss: 0.0601447 | val_loss: 0.0587135 | Time: 15926.1 ms [2020-11-11 22:48:16 main:574] : INFO : Epoch 5 | loss: 0.0578152 | val_loss: 0.0569597 | Time: 15916.8 ms [2020-11-11 22:48:32 main:574] : INFO : Epoch 6 | loss: 0.056235 | val_loss: 0.055557 | Time: 15912 ms [2020-11-11 22:48:48 main:574] : INFO : Epoch 7 | loss: 0.0548865 | val_loss: 0.0542886 | Time: 15906.1 ms [2020-11-11 22:49:04 main:574] : INFO : Epoch 8 | loss: 0.0535399 | val_loss: 0.0527984 | Time: 15917.6 ms [2020-11-11 22:49:20 main:574] : INFO : Epoch 9 | loss: 0.0520922 | val_loss: 0.0512806 | Time: 15890.9 ms [2020-11-11 22:49:36 main:574] : INFO : Epoch 10 | loss: 0.0504146 | val_loss: 0.0495654 | Time: 15898 ms [2020-11-11 22:49:51 main:574] : INFO : Epoch 11 | loss: 0.0485619 | val_loss: 0.0476188 | Time: 15945 ms [2020-11-11 22:50:07 main:574] : INFO : Epoch 12 | loss: 0.0464123 | val_loss: 0.0456947 | Time: 15918.6 ms [2020-11-11 22:50:23 main:574] : INFO : Epoch 13 | loss: 0.0438764 | val_loss: 0.0432412 | Time: 15895.6 ms [2020-11-11 22:50:39 main:574] : INFO : Epoch 14 | loss: 0.0412112 | val_loss: 0.0405975 | Time: 15905.6 ms [2020-11-11 22:50:55 main:574] : INFO : Epoch 15 | loss: 0.0383755 | val_loss: 0.0377249 | Time: 15933.2 ms [2020-11-11 22:51:11 main:574] : INFO : Epoch 16 | loss: 0.0356223 | val_loss: 0.0400316 | Time: 15886.1 ms [2020-11-11 22:51:27 main:574] : INFO : Epoch 17 | loss: 0.0374032 | val_loss: 0.0349912 | Time: 15914.1 ms [2020-11-11 22:51:43 main:574] : INFO : Epoch 18 | loss: 0.0317807 | val_loss: 0.0321915 | Time: 15913.9 ms [2020-11-11 22:51:59 main:574] : INFO : Epoch 19 | loss: 0.0293664 | val_loss: 0.0270635 | Time: 15903.1 ms [2020-11-11 22:52:15 main:574] : INFO : Epoch 20 | loss: 0.0508297 | val_loss: 0.0595813 | Time: 15920.1 ms [2020-11-11 22:52:31 main:574] : INFO : Epoch 21 | loss: 0.0563807 | val_loss: 0.0524983 | Time: 15910.8 ms [2020-11-11 22:52:47 main:574] : INFO : Epoch 22 | loss: 0.0436388 | val_loss: 0.0330392 | Time: 15924.2 ms [2020-11-11 22:53:03 main:574] : INFO : Epoch 23 | loss: 0.0409815 | val_loss: 0.0610367 | Time: 15918.6 ms [2020-11-11 22:53:19 main:574] : INFO : Epoch 24 | loss: 0.0581795 | val_loss: 0.0542246 | Time: 15943.6 ms [2020-11-11 22:53:34 main:574] : INFO : Epoch 25 | loss: 0.0454851 | val_loss: 0.0387929 | Time: 15903.3 ms [2020-11-11 22:53:50 main:574] : INFO : Epoch 26 | loss: 0.0305892 | val_loss: 0.0270877 | Time: 15912.1 ms [2020-11-11 22:54:06 main:574] : INFO : Epoch 27 | loss: 0.0473348 | val_loss: 0.0628224 | Time: 15927.5 ms [2020-11-11 22:54:22 main:574] : INFO : Epoch 28 | loss: 0.0622661 | val_loss: 0.0618333 | Time: 15929 ms [2020-11-11 22:54:38 main:574] : INFO : Epoch 29 | loss: 0.0614526 | val_loss: 0.0611385 | Time: 15923.8 ms [2020-11-11 22:54:54 main:574] : INFO : Epoch 30 | loss: 0.0607814 | val_loss: 0.0605094 | Time: 15945.6 ms [2020-11-11 22:55:10 main:574] : INFO : Epoch 31 | loss: 0.0601237 | val_loss: 0.0598181 | Time: 15957.5 ms [2020-11-11 22:55:26 main:574] : INFO : Epoch 32 | loss: 0.0594288 | val_loss: 0.0590999 | Time: 15905.3 ms [2020-11-11 22:55:42 main:574] : INFO : Epoch 33 | loss: 0.0586796 | val_loss: 0.0582938 | Time: 15902.7 ms [2020-11-11 22:55:58 main:574] : INFO : Epoch 34 | loss: 0.057788 | val_loss: 0.0573185 | Time: 15927.1 ms [2020-11-11 22:56:14 main:574] : INFO : Epoch 35 | loss: 0.0566657 | val_loss: 0.0560016 | Time: 16005.3 ms [2020-11-11 22:56:31 main:574] : INFO : Epoch 36 | loss: 0.0551214 | val_loss: 0.0541247 | Time: 16767.3 ms [2020-11-11 22:56:47 main:574] : INFO : Epoch 37 | loss: 0.0526306 | val_loss: 0.0510909 | Time: 16068.6 ms [2020-11-11 22:57:03 main:574] : INFO : Epoch 38 | loss: 0.0486375 | val_loss: 0.0462117 | Time: 16073.4 ms [2020-11-11 22:57:19 main:574] : INFO : Epoch 39 | loss: 0.0419585 | val_loss: 0.0383698 | Time: 16117.8 ms [2020-11-11 22:57:35 main:574] : INFO : Epoch 40 | loss: 0.0336356 | val_loss: 0.0355553 | Time: 16064.3 ms [2020-11-11 22:57:51 main:574] : INFO : Epoch 41 | loss: 0.0277881 | val_loss: 0.0264261 | Time: 16069.6 ms [2020-11-11 22:58:07 main:574] : INFO : Epoch 42 | loss: 0.0289226 | val_loss: 0.0303211 | Time: 16077.4 ms [2020-11-11 22:58:23 main:574] : INFO : Epoch 43 | loss: 0.0261859 | val_loss: 0.0272602 | Time: 16114.8 ms [2020-11-11 22:58:39 main:574] : INFO : Epoch 44 | loss: 0.028944 | val_loss: 0.0271245 | Time: 16064.5 ms [2020-11-11 22:58:56 main:574] : INFO : Epoch 45 | loss: 0.0228661 | val_loss: 0.0196413 | Time: 16095 ms [2020-11-11 22:59:12 main:574] : INFO : Epoch 46 | loss: 0.0180718 | val_loss: 0.01899 | Time: 16063.9 ms [2020-11-11 22:59:28 main:574] : INFO : Epoch 47 | loss: 0.02089 | val_loss: 0.0170477 | Time: 16046 ms [2020-11-11 22:59:44 main:574] : INFO : Epoch 48 | loss: 0.0166796 | val_loss: 0.0180092 | Time: 16069.7 ms [2020-11-11 23:00:00 main:574] : INFO : Epoch 49 | loss: 0.028341 | val_loss: 0.0272383 | Time: 16064.4 ms [2020-11-11 23:00:16 main:574] : INFO : Epoch 50 | loss: 0.019236 | val_loss: 0.0177101 | Time: 16095.7 ms [2020-11-11 23:00:32 main:574] : INFO : Epoch 51 | loss: 0.0165875 | val_loss: 0.0146535 | Time: 16072.7 ms [2020-11-11 23:00:48 main:574] : INFO : Epoch 52 | loss: 0.0244672 | val_loss: 0.036219 | Time: 16053.1 ms [2020-11-11 23:01:04 main:574] : INFO : Epoch 53 | loss: 0.023429 | val_loss: 0.0167293 | Time: 16077.1 ms [2020-11-11 23:01:20 main:574] : INFO : Epoch 54 | loss: 0.0141968 | val_loss: 0.0141553 | Time: 16096.3 ms [2020-11-11 23:01:36 main:574] : INFO : Epoch 55 | loss: 0.0157409 | val_loss: 0.0219228 | Time: 16059.3 ms [2020-11-11 23:01:53 main:574] : INFO : Epoch 56 | loss: 0.0147707 | val_loss: 0.0125093 | Time: 16076.3 ms [2020-11-11 23:02:09 main:574] : INFO : Epoch 57 | loss: 0.0121527 | val_loss: 0.0119809 | Time: 16089.7 ms [2020-11-11 23:02:25 main:574] : INFO : Epoch 58 | loss: 0.0108185 | val_loss: 0.0117889 | Time: 16098.8 ms [2020-11-11 23:02:41 main:574] : INFO : Epoch 59 | loss: 0.0102872 | val_loss: 0.0120234 | Time: 16082 ms [2020-11-11 23:02:57 main:574] : INFO : Epoch 60 | loss: 0.0153821 | val_loss: 0.0124918 | Time: 16066.8 ms [2020-11-11 23:03:13 main:574] : INFO : Epoch 61 | loss: 0.0133521 | val_loss: 0.0113712 | Time: 16063.7 ms [2020-11-11 23:03:29 main:574] : INFO : Epoch 62 | loss: 0.0102962 | val_loss: 0.0113999 | Time: 16070.2 ms [2020-11-11 23:03:45 main:574] : INFO : Epoch 63 | loss: 0.00968854 | val_loss: 0.0107329 | Time: 16072.1 ms [2020-11-11 23:04:01 main:574] : INFO : Epoch 64 | loss: 0.00905516 | val_loss: 0.00923758 | Time: 16083.1 ms [2020-11-11 23:04:17 main:574] : INFO : Epoch 65 | loss: 0.00872124 | val_loss: 0.00892085 | Time: 16091.4 ms [2020-11-11 23:04:33 main:574] : INFO : Epoch 66 | loss: 0.0083589 | val_loss: 0.00868008 | Time: 16057.3 ms [2020-11-11 23:04:50 main:574] : INFO : Epoch 67 | loss: 0.00808994 | val_loss: 0.00846156 | Time: 16079.7 ms [2020-11-11 23:05:06 main:574] : INFO : Epoch 68 | loss: 0.00787686 | val_loss: 0.00822246 | Time: 16087.2 ms [2020-11-11 23:05:22 main:574] : INFO : Epoch 69 | loss: 0.00775861 | val_loss: 0.00831995 | Time: 16040.7 ms [2020-11-11 23:05:38 main:574] : INFO : Epoch 70 | loss: 0.00756345 | val_loss: 0.00785277 | Time: 16057 ms [2020-11-11 23:05:54 main:574] : INFO : Epoch 71 | loss: 0.00732931 | val_loss: 0.00766181 | Time: 16098.3 ms [2020-11-11 23:06:10 main:574] : INFO : Epoch 72 | loss: 0.00714737 | val_loss: 0.00755559 | Time: 16085.5 ms [2020-11-11 23:06:26 main:574] : INFO : Epoch 73 | loss: 0.00695816 | val_loss: 0.0072453 | Time: 16081.1 ms [2020-11-11 23:06:42 main:574] : INFO : Epoch 74 | loss: 0.00676087 | val_loss: 0.00705122 | Time: 16082.2 ms [2020-11-11 23:06:58 main:574] : INFO : Epoch 75 | loss: 0.00658961 | val_loss: 0.00686508 | Time: 16058.5 ms [2020-11-11 23:07:14 main:574] : INFO : Epoch 76 | loss: 0.00641983 | val_loss: 0.00663765 | Time: 16069.8 ms [2020-11-11 23:07:30 main:574] : INFO : Epoch 77 | loss: 0.00625187 | val_loss: 0.00654328 | Time: 16073 ms [2020-11-11 23:07:46 main:574] : INFO : Epoch 78 | loss: 0.00608279 | val_loss: 0.00634868 | Time: 16081.8 ms [2020-11-11 23:08:03 main:574] : INFO : Epoch 79 | loss: 0.00591415 | val_loss: 0.0061263 | Time: 16075.5 ms [2020-11-11 23:08:19 main:574] : INFO : Epoch 80 | loss: 0.00574914 | val_loss: 0.00595601 | Time: 16055.7 ms [2020-11-11 23:08:35 main:574] : INFO : Epoch 81 | loss: 0.00558546 | val_loss: 0.00578447 | Time: 16051.8 ms [2020-11-11 23:08:51 main:574] : INFO : Epoch 82 | loss: 0.00542315 | val_loss: 0.00561305 | Time: 16046.4 ms [2020-11-11 23:09:07 main:574] : INFO : Epoch 83 | loss: 0.00526413 | val_loss: 0.00544072 | Time: 16070.9 ms [2020-11-11 23:09:23 main:574] : INFO : Epoch 84 | loss: 0.00510584 | val_loss: 0.00528312 | Time: 16066.5 ms [2020-11-11 23:09:39 main:574] : INFO : Epoch 85 | loss: 0.0049481 | val_loss: 0.00504577 | Time: 16085.1 ms [2020-11-11 23:09:55 main:574] : INFO : Epoch 86 | loss: 0.00479229 | val_loss: 0.00487122 | Time: 16076.1 ms [2020-11-11 23:10:11 main:574] : INFO : Epoch 87 | loss: 0.00463965 | val_loss: 0.00471664 | Time: 16063.7 ms [2020-11-11 23:10:27 main:574] : INFO : Epoch 88 | loss: 0.0044899 | val_loss: 0.0045564 | Time: 16043.4 ms [2020-11-11 23:10:43 main:574] : INFO : Epoch 89 | loss: 0.00433734 | val_loss: 0.00439961 | Time: 16063.3 ms [2020-11-11 23:10:59 main:574] : INFO : Epoch 90 | loss: 0.00418875 | val_loss: 0.00425597 | Time: 16045.9 ms [2020-11-11 23:11:15 main:574] : INFO : Epoch 91 | loss: 0.00404469 | val_loss: 0.00410563 | Time: 16101.8 ms [2020-11-11 23:11:31 main:574] : INFO : Epoch 92 | loss: 0.00391086 | val_loss: 0.00396142 | Time: 15948.9 ms [2020-11-11 23:11:47 main:574] : INFO : Epoch 93 | loss: 0.00376104 | val_loss: 0.00381242 | Time: 15950.4 ms [2020-11-11 23:12:03 main:574] : INFO : Epoch 94 | loss: 0.00362488 | val_loss: 0.00367902 | Time: 15919.3 ms [2020-11-11 23:12:19 main:574] : INFO : Epoch 95 | loss: 0.00348951 | val_loss: 0.00353597 | Time: 15938.2 ms [2020-11-11 23:12:35 main:574] : INFO : Epoch 96 | loss: 0.00335907 | val_loss: 0.00338573 | Time: 15923.2 ms [2020-11-11 23:12:51 main:574] : INFO : Epoch 97 | loss: 0.00325346 | val_loss: 0.00325416 | Time: 15931.3 ms [2020-11-11 23:13:07 main:574] : INFO : Epoch 98 | loss: 0.00310814 | val_loss: 0.00312606 | Time: 15912.3 ms [2020-11-11 23:13:23 main:574] : INFO : Epoch 99 | loss: 0.0029859 | val_loss: 0.00300234 | Time: 15950.3 ms [2020-11-11 23:13:39 main:574] : INFO : Epoch 100 | loss: 0.00286842 | val_loss: 0.0028385 | Time: 15992.6 ms [2020-11-11 23:13:55 main:574] : INFO : Epoch 101 | loss: 0.00276371 | val_loss: 0.00278906 | Time: 15973.2 ms [2020-11-11 23:14:11 main:574] : INFO : Epoch 102 | loss: 0.00264799 | val_loss: 0.00266175 | Time: 15921.8 ms [2020-11-11 23:14:27 main:574] : INFO : Epoch 103 | loss: 0.00254069 | val_loss: 0.00250861 | Time: 15912.1 ms [2020-11-11 23:14:43 main:574] : INFO : Epoch 104 | loss: 0.00243949 | val_loss: 0.00240773 | Time: 15923.2 ms [2020-11-11 23:14:59 main:574] : INFO : Epoch 105 | loss: 0.00234109 | val_loss: 0.00231018 | Time: 15891 ms [2020-11-11 23:15:15 main:574] : INFO : Epoch 106 | loss: 0.00225248 | val_loss: 0.0022185 | Time: 15944.8 ms [2020-11-11 23:15:31 main:574] : INFO : Epoch 107 | loss: 0.00215522 | val_loss: 0.0021273 | Time: 15958.2 ms [2020-11-11 23:15:47 main:574] : INFO : Epoch 108 | loss: 0.00206678 | val_loss: 0.0020448 | Time: 15939 ms [2020-11-11 23:16:03 main:574] : INFO : Epoch 109 | loss: 0.0019826 | val_loss: 0.00195629 | Time: 15913.9 ms [2020-11-11 23:16:18 main:574] : INFO : Epoch 110 | loss: 0.00234745 | val_loss: 0.00199578 | Time: 15935.8 ms [2020-11-11 23:16:34 main:574] : INFO : Epoch 111 | loss: 0.00185321 | val_loss: 0.00181544 | Time: 15928.6 ms [2020-11-11 23:16:50 main:574] : INFO : Epoch 112 | loss: 0.00176392 | val_loss: 0.00174091 | Time: 16033.5 ms [2020-11-11 23:17:07 main:574] : INFO : Epoch 113 | loss: 0.0016922 | val_loss: 0.00167154 | Time: 16072.7 ms [2020-11-11 23:17:23 main:574] : INFO : Epoch 114 | loss: 0.00162532 | val_loss: 0.00160569 | Time: 16093.2 ms [2020-11-11 23:17:39 main:574] : INFO : Epoch 115 | loss: 0.00156127 | val_loss: 0.00154245 | Time: 16119.8 ms [2020-11-11 23:17:55 main:574] : INFO : Epoch 116 | loss: 0.00150007 | val_loss: 0.00149065 | Time: 16120.1 ms [2020-11-11 23:18:11 main:574] : INFO : Epoch 117 | loss: 0.00144887 | val_loss: 0.0014225 | Time: 16091.9 ms [2020-11-11 23:18:27 main:574] : INFO : Epoch 118 | loss: 0.00138349 | val_loss: 0.00136688 | Time: 16092.1 ms [2020-11-11 23:18:43 main:574] : INFO : Epoch 119 | loss: 0.00133267 | val_loss: 0.00131335 | Time: 16104.2 ms [2020-11-11 23:18:59 main:574] : INFO : Epoch 120 | loss: 0.00127628 | val_loss: 0.00126014 | Time: 16108.4 ms [2020-11-11 23:19:15 main:574] : INFO : Epoch 121 | loss: 0.00124625 | val_loss: 0.00121249 | Time: 16097.5 ms [2020-11-11 23:19:32 main:574] : INFO : Epoch 122 | loss: 0.00117444 | val_loss: 0.00116094 | Time: 16061.8 ms [2020-11-11 23:19:48 main:574] : INFO : Epoch 123 | loss: 0.00112695 | val_loss: 0.00111244 | Time: 16084.4 ms [2020-11-11 23:20:04 main:574] : INFO : Epoch 124 | loss: 0.00108121 | val_loss: 0.00106834 | Time: 16063.6 ms [2020-11-11 23:20:20 main:574] : INFO : Epoch 125 | loss: 0.00103709 | val_loss: 0.00102688 | Time: 16085.6 ms [2020-11-11 23:20:36 main:574] : INFO : Epoch 126 | loss: 0.000994289 | val_loss: 0.000982932 | Time: 16066.3 ms [2020-11-11 23:20:52 main:574] : INFO : Epoch 127 | loss: 0.000953763 | val_loss: 0.000942228 | Time: 16097.8 ms [2020-11-11 23:21:08 main:574] : INFO : Epoch 128 | loss: 0.000914757 | val_loss: 0.000902175 | Time: 16086.3 ms [2020-11-11 23:21:24 main:574] : INFO : Epoch 129 | loss: 0.00087683 | val_loss: 0.000867004 | Time: 16086.1 ms [2020-11-11 23:21:40 main:574] : INFO : Epoch 130 | loss: 0.000840188 | val_loss: 0.000830763 | Time: 16089.2 ms [2020-11-11 23:21:56 main:574] : INFO : Epoch 131 | loss: 0.000805881 | val_loss: 0.000796054 | Time: 16104.4 ms [2020-11-11 23:22:13 main:574] : INFO : Epoch 132 | loss: 0.000772184 | val_loss: 0.000764981 | Time: 16095.3 ms [2020-11-11 23:22:29 main:574] : INFO : Epoch 133 | loss: 0.00074002 | val_loss: 0.000731458 | Time: 16064.6 ms [2020-11-11 23:22:45 main:574] : INFO : Epoch 134 | loss: 0.000709338 | val_loss: 0.000701553 | Time: 16072.6 ms [2020-11-11 23:23:01 main:574] : INFO : Epoch 135 | loss: 0.000679691 | val_loss: 0.000671017 | Time: 16098.7 ms [2020-11-11 23:23:17 main:574] : INFO : Epoch 136 | loss: 0.000650744 | val_loss: 0.000642904 | Time: 16081.4 ms [2020-11-11 23:23:33 main:574] : INFO : Epoch 137 | loss: 0.000624072 | val_loss: 0.000617786 | Time: 16083.1 ms [2020-11-11 23:23:49 main:574] : INFO : Epoch 138 | loss: 0.000598348 | val_loss: 0.000592897 | Time: 16096 ms [2020-11-11 23:24:05 main:574] : INFO : Epoch 139 | loss: 0.000573305 | val_loss: 0.000568111 | Time: 16089.9 ms [2020-11-11 23:24:21 main:574] : INFO : Epoch 140 | loss: 0.000549748 | val_loss: 0.000545359 | Time: 16079.5 ms [2020-11-11 23:24:37 main:574] : INFO : Epoch 141 | loss: 0.00052793 | val_loss: 0.000522751 | Time: 16099.9 ms [2020-11-11 23:24:54 main:574] : INFO : Epoch 142 | loss: 0.000505732 | val_loss: 0.000501649 | Time: 16079.8 ms [2020-11-11 23:25:10 main:574] : INFO : Epoch 143 | loss: 0.000485159 | val_loss: 0.000479558 | Time: 16095.8 ms [2020-11-11 23:25:26 main:574] : INFO : Epoch 144 | loss: 0.000466299 | val_loss: 0.000462206 | Time: 16078.7 ms [2020-11-11 23:25:42 main:574] : INFO : Epoch 145 | loss: 0.000447512 | val_loss: 0.00044482 | Time: 16073.7 ms [2020-11-11 23:25:58 main:574] : INFO : Epoch 146 | loss: 0.000430536 | val_loss: 0.000428662 | Time: 16084.4 ms [2020-11-11 23:26:14 main:574] : INFO : Epoch 147 | loss: 0.000412765 | val_loss: 0.000410631 | Time: 16122.5 ms [2020-11-11 23:26:31 main:574] : INFO : Epoch 148 | loss: 0.000397127 | val_loss: 0.000396321 | Time: 16784.8 ms [2020-11-11 23:26:47 main:574] : INFO : Epoch 149 | loss: 0.00038245 | val_loss: 0.000379174 | Time: 16046.5 ms [2020-11-11 23:27:03 main:574] : INFO : Epoch 150 | loss: 0.000368088 | val_loss: 0.00036891 | Time: 16091.8 ms [2020-11-11 23:27:19 main:574] : INFO : Epoch 151 | loss: 0.000354478 | val_loss: 0.000352449 | Time: 16098.3 ms [2020-11-11 23:27:35 main:574] : INFO : Epoch 152 | loss: 0.000340927 | val_loss: 0.000341511 | Time: 16051.6 ms [2020-11-11 23:27:51 main:574] : INFO : Epoch 153 | loss: 0.000329058 | val_loss: 0.000327926 | Time: 16049.3 ms [2020-11-11 23:28:07 main:574] : INFO : Epoch 154 | loss: 0.000316721 | val_loss: 0.000314928 | Time: 16061.5 ms [2020-11-11 23:28:23 main:574] : INFO : Epoch 155 | loss: 0.000305631 | val_loss: 0.000305497 | Time: 16055.1 ms [2020-11-11 23:28:39 main:574] : INFO : Epoch 156 | loss: 0.000295594 | val_loss: 0.000296159 | Time: 16079.8 ms [2020-11-11 23:28:56 main:574] : INFO : Epoch 157 | loss: 0.000285827 | val_loss: 0.000285449 | Time: 16046.5 ms [2020-11-11 23:29:12 main:574] : INFO : Epoch 158 | loss: 0.000275932 | val_loss: 0.000277279 | Time: 16090.2 ms [2020-11-11 23:29:28 main:574] : INFO : Epoch 159 | loss: 0.000267036 | val_loss: 0.000266394 | Time: 16062.4 ms [2020-11-11 23:29:44 main:574] : INFO : Epoch 160 | loss: 0.000258166 | val_loss: 0.00025761 | Time: 16075.2 ms [2020-11-11 23:30:00 main:574] : INFO : Epoch 161 | loss: 0.000249559 | val_loss: 0.000250002 | Time: 16061.3 ms [2020-11-11 23:30:16 main:574] : INFO : Epoch 162 | loss: 0.000242031 | val_loss: 0.000240895 | Time: 16059 ms [2020-11-11 23:30:32 main:574] : INFO : Epoch 163 | loss: 0.000234887 | val_loss: 0.000235378 | Time: 16077.9 ms [2020-11-11 23:30:48 main:574] : INFO : Epoch 164 | loss: 0.000227661 | val_loss: 0.000228192 | Time: 16085.6 ms [2020-11-11 23:31:04 main:574] : INFO : Epoch 165 | loss: 0.000221139 | val_loss: 0.000221843 | Time: 16080.4 ms [2020-11-11 23:31:20 main:574] : INFO : Epoch 166 | loss: 0.000214439 | val_loss: 0.000214406 | Time: 16031.5 ms [2020-11-11 23:31:36 main:574] : INFO : Epoch 167 | loss: 0.000208439 | val_loss: 0.000208657 | Time: 16045.8 ms [2020-11-11 23:31:52 main:574] : INFO : Epoch 168 | loss: 0.000202587 | val_loss: 0.000202752 | Time: 16067.7 ms [2020-11-11 23:32:08 main:574] : INFO : Epoch 169 | loss: 0.000196999 | val_loss: 0.000197672 | Time: 16058.1 ms [2020-11-11 23:32:25 main:574] : INFO : Epoch 170 | loss: 0.000192271 | val_loss: 0.000193639 | Time: 16060 ms [2020-11-11 23:32:41 main:574] : INFO : Epoch 171 | loss: 0.000186556 | val_loss: 0.000188117 | Time: 16086.7 ms [2020-11-11 23:32:57 main:574] : INFO : Epoch 172 | loss: 0.000181959 | val_loss: 0.000181108 | Time: 16095.5 ms [2020-11-11 23:33:13 main:574] : INFO : Epoch 173 | loss: 0.000176918 | val_loss: 0.000178608 | Time: 16087.8 ms [2020-11-11 23:33:29 main:574] : INFO : Epoch 174 | loss: 0.000172768 | val_loss: 0.000174024 | Time: 16090 ms [2020-11-11 23:33:45 main:574] : INFO : Epoch 175 | loss: 0.000169089 | val_loss: 0.000169191 | Time: 16062.1 ms [2020-11-11 23:34:01 main:574] : INFO : Epoch 176 | loss: 0.000165203 | val_loss: 0.000166675 | Time: 16064.3 ms [2020-11-11 23:34:17 main:574] : INFO : Epoch 177 | loss: 0.000161297 | val_loss: 0.000162299 | Time: 16066.5 ms [2020-11-11 23:34:33 main:574] : INFO : Epoch 178 | loss: 0.00015689 | val_loss: 0.000158219 | Time: 16072 ms [2020-11-11 23:34:49 main:574] : INFO : Epoch 179 | loss: 0.000153884 | val_loss: 0.000156351 | Time: 16109.1 ms [2020-11-11 23:35:05 main:574] : INFO : Epoch 180 | loss: 0.00015039 | val_loss: 0.000151766 | Time: 16050.1 ms [2020-11-11 23:35:22 main:574] : INFO : Epoch 181 | loss: 0.000147462 | val_loss: 0.000148425 | Time: 16100.4 ms [2020-11-11 23:35:38 main:574] : INFO : Epoch 182 | loss: 0.000144063 | val_loss: 0.000146986 | Time: 16041.9 ms [2020-11-11 23:35:54 main:574] : INFO : Epoch 183 | loss: 0.000141245 | val_loss: 0.000143064 | Time: 16048.5 ms [2020-11-11 23:36:10 main:574] : INFO : Epoch 184 | loss: 0.000138786 | val_loss: 0.000142981 | Time: 16114.8 ms [2020-11-11 23:36:26 main:574] : INFO : Epoch 185 | loss: 0.000135799 | val_loss: 0.000136505 | Time: 16121.7 ms [2020-11-11 23:36:42 main:574] : INFO : Epoch 186 | loss: 0.000133386 | val_loss: 0.000135537 | Time: 16053.5 ms [2020-11-11 23:36:58 main:574] : INFO : Epoch 187 | loss: 0.000130775 | val_loss: 0.000132734 | Time: 16051.4 ms [2020-11-11 23:37:14 main:574] : INFO : Epoch 188 | loss: 0.000128651 | val_loss: 0.000128892 | Time: 16052.7 ms [2020-11-11 23:37:30 main:574] : INFO : Epoch 189 | loss: 0.000125893 | val_loss: 0.000128932 | Time: 16073.1 ms [2020-11-11 23:37:46 main:574] : INFO : Epoch 190 | loss: 0.000123887 | val_loss: 0.000126185 | Time: 16074.7 ms [2020-11-11 23:38:02 main:574] : INFO : Epoch 191 | loss: 0.000121573 | val_loss: 0.000121989 | Time: 16074.3 ms [2020-11-11 23:38:19 main:574] : INFO : Epoch 192 | loss: 0.00011964 | val_loss: 0.000121755 | Time: 16103.2 ms [2020-11-11 23:38:19 main:597] : INFO : Saving trained model to model-final.pt, val_loss 0.000121755 [2020-11-11 23:38:19 main:603] : INFO : Saving end state to config to file [2020-11-11 23:38:19 main:608] : INFO : Success, exiting.. 23:38:19 (4064): 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)