| Name | rand_automata_0003-1605109695-16432-0_0 |
| Workunit | 1293833 |
| 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, 2:56:10 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 4439 |
| Run time | 52 min 1 sec |
| CPU time | 51 min 37 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 | 1.41 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 21:03:53 main:435] : INFO : Set logging level to 1 [2020-11-11 21:03:53 main:441] : INFO : Running in BOINC Client mode [2020-11-11 21:03:53 main:444] : INFO : Resolving all filenames [2020-11-11 21:03:53 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0003-train-val-dataset.hdf5 (exists = 1) [2020-11-11 21:03:53 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0003-1605109695-16432-0_0_r1597843187_1 (exists = 0) [2020-11-11 21:03:53 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0003-1605109695-16432-0_0_r1597843187_0 (exists = 0) [2020-11-11 21:03:53 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-11 21:03:53 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-11 21:03:53 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0003-train-val-dataset.hdf5 [2020-11-11 21:03:53 main:474] : INFO : Configuration: [2020-11-11 21:03:53 main:475] : INFO : Model type: LSTM [2020-11-11 21:03:53 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-11 21:03:53 main:477] : INFO : Max Epochs: 192 [2020-11-11 21:03:53 main:478] : INFO : Batch Size: 32 [2020-11-11 21:03:53 main:479] : INFO : Learning Rate: 0.001 [2020-11-11 21:03:53 main:480] : INFO : Patience: 10 [2020-11-11 21:03:53 main:481] : INFO : Hidden Width: 64 [2020-11-11 21:03:53 main:482] : INFO : # Recurrent Layers: 4 [2020-11-11 21:03:53 main:483] : INFO : # Backend Layers: 2 [2020-11-11 21:03:53 main:484] : INFO : # Threads: 1 [2020-11-11 21:03:53 main:486] : INFO : Preparing Dataset [2020-11-11 21:03:53 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 21:03:53 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 21:03:54 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-11 21:03:54 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 21:03:54 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 21:03:54 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-11 21:03:54 main:494] : INFO : Creating Model [2020-11-11 21:03:54 main:507] : INFO : Preparing config file [2020-11-11 21:03:54 main:519] : INFO : Creating new config file [2020-11-11 21:03:55 main:559] : INFO : Loading DataLoader into Memory [2020-11-11 21:03:55 main:562] : INFO : Starting Training [2020-11-11 21:04:12 main:574] : INFO : Epoch 1 | loss: 0.0664682 | val_loss: 0.0656173 | Time: 16333.1 ms [2020-11-11 21:04:28 main:574] : INFO : Epoch 2 | loss: 0.0654989 | val_loss: 0.0646268 | Time: 16088.7 ms [2020-11-11 21:04:44 main:574] : INFO : Epoch 3 | loss: 0.0632721 | val_loss: 0.0617838 | Time: 16036.9 ms [2020-11-11 21:05:00 main:574] : INFO : Epoch 4 | loss: 0.0604414 | val_loss: 0.0594115 | Time: 16086.4 ms [2020-11-11 21:05:16 main:574] : INFO : Epoch 5 | loss: 0.0583957 | val_loss: 0.0574554 | Time: 16037.3 ms [2020-11-11 21:05:32 main:574] : INFO : Epoch 6 | loss: 0.0566098 | val_loss: 0.0558697 | Time: 16089.8 ms [2020-11-11 21:05:48 main:574] : INFO : Epoch 7 | loss: 0.0551857 | val_loss: 0.054597 | Time: 16081.3 ms [2020-11-11 21:06:04 main:574] : INFO : Epoch 8 | loss: 0.0540648 | val_loss: 0.0536606 | Time: 16035.3 ms [2020-11-11 21:06:20 main:574] : INFO : Epoch 9 | loss: 0.0531133 | val_loss: 0.0527935 | Time: 16049.1 ms [2020-11-11 21:06:36 main:574] : INFO : Epoch 10 | loss: 0.0521977 | val_loss: 0.0518692 | Time: 16100.9 ms [2020-11-11 21:06:52 main:574] : INFO : Epoch 11 | loss: 0.051271 | val_loss: 0.0509699 | Time: 16133.1 ms [2020-11-11 21:07:08 main:574] : INFO : Epoch 12 | loss: 0.0503354 | val_loss: 0.0501441 | Time: 16025.4 ms [2020-11-11 21:07:25 main:574] : INFO : Epoch 13 | loss: 0.0493241 | val_loss: 0.0491297 | Time: 16065.5 ms [2020-11-11 21:07:41 main:574] : INFO : Epoch 14 | loss: 0.0481736 | val_loss: 0.0480589 | Time: 16062 ms [2020-11-11 21:07:57 main:574] : INFO : Epoch 15 | loss: 0.0469739 | val_loss: 0.0466759 | Time: 16054.6 ms [2020-11-11 21:08:13 main:574] : INFO : Epoch 16 | loss: 0.0455125 | val_loss: 0.0454649 | Time: 16052.7 ms [2020-11-11 21:08:29 main:574] : INFO : Epoch 17 | loss: 0.0438909 | val_loss: 0.0436172 | Time: 16049.5 ms [2020-11-11 21:08:45 main:574] : INFO : Epoch 18 | loss: 0.0420086 | val_loss: 0.0415955 | Time: 16067.4 ms [2020-11-11 21:09:01 main:574] : INFO : Epoch 19 | loss: 0.0398026 | val_loss: 0.039673 | Time: 16042.8 ms [2020-11-11 21:09:17 main:574] : INFO : Epoch 20 | loss: 0.0372257 | val_loss: 0.0368493 | Time: 16051.5 ms [2020-11-11 21:09:33 main:574] : INFO : Epoch 21 | loss: 0.0339998 | val_loss: 0.033222 | Time: 16057.4 ms [2020-11-11 21:09:49 main:574] : INFO : Epoch 22 | loss: 0.0315539 | val_loss: 0.0310346 | Time: 16037.4 ms [2020-11-11 21:10:05 main:574] : INFO : Epoch 23 | loss: 0.0331424 | val_loss: 0.0368698 | Time: 16059.9 ms [2020-11-11 21:10:21 main:574] : INFO : Epoch 24 | loss: 0.026963 | val_loss: 0.0272813 | Time: 16030 ms [2020-11-11 21:10:37 main:574] : INFO : Epoch 25 | loss: 0.0235402 | val_loss: 0.0219888 | Time: 16074.4 ms [2020-11-11 21:10:53 main:574] : INFO : Epoch 26 | loss: 0.0211529 | val_loss: 0.0206405 | Time: 16074 ms [2020-11-11 21:11:09 main:574] : INFO : Epoch 27 | loss: 0.0193301 | val_loss: 0.0178144 | Time: 16021 ms [2020-11-11 21:11:26 main:574] : INFO : Epoch 28 | loss: 0.0194621 | val_loss: 0.0183899 | Time: 16096.2 ms [2020-11-11 21:11:42 main:574] : INFO : Epoch 29 | loss: 0.0145979 | val_loss: 0.0133931 | Time: 16038.5 ms [2020-11-11 21:11:58 main:574] : INFO : Epoch 30 | loss: 0.0128752 | val_loss: 0.0124126 | Time: 16028.9 ms [2020-11-11 21:12:14 main:574] : INFO : Epoch 31 | loss: 0.0120864 | val_loss: 0.0205391 | Time: 16035.4 ms [2020-11-11 21:12:30 main:574] : INFO : Epoch 32 | loss: 0.0597289 | val_loss: 0.0628543 | Time: 16041.6 ms [2020-11-11 21:12:46 main:574] : INFO : Epoch 33 | loss: 0.0624903 | val_loss: 0.0622484 | Time: 16052.3 ms [2020-11-11 21:13:02 main:574] : INFO : Epoch 34 | loss: 0.0619846 | val_loss: 0.061829 | Time: 16068.7 ms [2020-11-11 21:13:18 main:574] : INFO : Epoch 35 | loss: 0.0616066 | val_loss: 0.0614802 | Time: 16046.7 ms [2020-11-11 21:13:34 main:574] : INFO : Epoch 36 | loss: 0.0612776 | val_loss: 0.0611621 | Time: 16076.1 ms [2020-11-11 21:13:50 main:574] : INFO : Epoch 37 | loss: 0.0609867 | val_loss: 0.0608938 | Time: 16040 ms [2020-11-11 21:14:06 main:574] : INFO : Epoch 38 | loss: 0.0607354 | val_loss: 0.0606407 | Time: 16024.9 ms [2020-11-11 21:14:22 main:574] : INFO : Epoch 39 | loss: 0.0604997 | val_loss: 0.060427 | Time: 16079.6 ms [2020-11-11 21:14:38 main:574] : INFO : Epoch 40 | loss: 0.0602971 | val_loss: 0.0602182 | Time: 16032.5 ms [2020-11-11 21:14:54 main:574] : INFO : Epoch 41 | loss: 0.0601043 | val_loss: 0.0600365 | Time: 16054.6 ms [2020-11-11 21:15:10 main:574] : INFO : Epoch 42 | loss: 0.0599287 | val_loss: 0.0598681 | Time: 16047.7 ms [2020-11-11 21:15:26 main:574] : INFO : Epoch 43 | loss: 0.0597721 | val_loss: 0.0597262 | Time: 16043.4 ms [2020-11-11 21:15:43 main:574] : INFO : Epoch 44 | loss: 0.0596175 | val_loss: 0.0595668 | Time: 16066 ms [2020-11-11 21:15:59 main:574] : INFO : Epoch 45 | loss: 0.0594651 | val_loss: 0.0594148 | Time: 16070.3 ms [2020-11-11 21:16:15 main:574] : INFO : Epoch 46 | loss: 0.059304 | val_loss: 0.0592617 | Time: 16039.7 ms [2020-11-11 21:16:31 main:574] : INFO : Epoch 47 | loss: 0.0591592 | val_loss: 0.0591132 | Time: 16057.1 ms [2020-11-11 21:16:47 main:574] : INFO : Epoch 48 | loss: 0.0590088 | val_loss: 0.0589857 | Time: 16038.3 ms [2020-11-11 21:17:03 main:574] : INFO : Epoch 49 | loss: 0.0588622 | val_loss: 0.0588141 | Time: 16058.6 ms [2020-11-11 21:17:19 main:574] : INFO : Epoch 50 | loss: 0.0587168 | val_loss: 0.0586746 | Time: 16060.2 ms [2020-11-11 21:17:35 main:574] : INFO : Epoch 51 | loss: 0.0585661 | val_loss: 0.0585435 | Time: 16038.7 ms [2020-11-11 21:17:51 main:574] : INFO : Epoch 52 | loss: 0.0584221 | val_loss: 0.0583994 | Time: 16063.7 ms [2020-11-11 21:18:07 main:574] : INFO : Epoch 53 | loss: 0.0582767 | val_loss: 0.0582469 | Time: 16035.4 ms [2020-11-11 21:18:23 main:574] : INFO : Epoch 54 | loss: 0.0581315 | val_loss: 0.058102 | Time: 16034.6 ms [2020-11-11 21:18:39 main:574] : INFO : Epoch 55 | loss: 0.0579865 | val_loss: 0.0579627 | Time: 16067.9 ms [2020-11-11 21:18:55 main:574] : INFO : Epoch 56 | loss: 0.0578413 | val_loss: 0.0578162 | Time: 16060.9 ms [2020-11-11 21:19:11 main:574] : INFO : Epoch 57 | loss: 0.0576887 | val_loss: 0.0576579 | Time: 16037.6 ms [2020-11-11 21:19:27 main:574] : INFO : Epoch 58 | loss: 0.0575387 | val_loss: 0.0575572 | Time: 16034.5 ms [2020-11-11 21:19:43 main:574] : INFO : Epoch 59 | loss: 0.0573914 | val_loss: 0.0573744 | Time: 16052.3 ms [2020-11-11 21:20:00 main:574] : INFO : Epoch 60 | loss: 0.057235 | val_loss: 0.0572276 | Time: 16049.5 ms [2020-11-11 21:20:16 main:574] : INFO : Epoch 61 | loss: 0.0570782 | val_loss: 0.057073 | Time: 16057.9 ms [2020-11-11 21:20:32 main:574] : INFO : Epoch 62 | loss: 0.0569248 | val_loss: 0.056922 | Time: 16049.9 ms [2020-11-11 21:20:48 main:574] : INFO : Epoch 63 | loss: 0.0567691 | val_loss: 0.0567705 | Time: 16066.2 ms [2020-11-11 21:21:04 main:574] : INFO : Epoch 64 | loss: 0.0566126 | val_loss: 0.0566202 | Time: 16102.8 ms [2020-11-11 21:21:20 main:574] : INFO : Epoch 65 | loss: 0.0564504 | val_loss: 0.0565022 | Time: 16120.7 ms [2020-11-11 21:21:36 main:574] : INFO : Epoch 66 | loss: 0.0562945 | val_loss: 0.0563205 | Time: 16074 ms [2020-11-11 21:21:54 main:574] : INFO : Epoch 67 | loss: 0.0561299 | val_loss: 0.0561411 | Time: 17551.9 ms [2020-11-11 21:22:10 main:574] : INFO : Epoch 68 | loss: 0.0559589 | val_loss: 0.0559685 | Time: 16476.6 ms [2020-11-11 21:22:26 main:574] : INFO : Epoch 69 | loss: 0.0557939 | val_loss: 0.0558196 | Time: 16289.1 ms [2020-11-11 21:22:43 main:574] : INFO : Epoch 70 | loss: 0.0556192 | val_loss: 0.0556351 | Time: 16263.6 ms [2020-11-11 21:23:00 main:574] : INFO : Epoch 71 | loss: 0.0554459 | val_loss: 0.0554732 | Time: 16964.4 ms [2020-11-11 21:23:16 main:574] : INFO : Epoch 72 | loss: 0.0552646 | val_loss: 0.0553021 | Time: 16521.2 ms [2020-11-11 21:23:33 main:574] : INFO : Epoch 73 | loss: 0.0550869 | val_loss: 0.0551074 | Time: 16552.1 ms [2020-11-11 21:23:50 main:574] : INFO : Epoch 74 | loss: 0.0549046 | val_loss: 0.0549438 | Time: 17361.1 ms [2020-11-11 21:24:08 main:574] : INFO : Epoch 75 | loss: 0.0547094 | val_loss: 0.0547798 | Time: 17520.9 ms [2020-11-11 21:24:24 main:574] : INFO : Epoch 76 | loss: 0.0545145 | val_loss: 0.0545949 | Time: 16113.8 ms [2020-11-11 21:24:40 main:574] : INFO : Epoch 77 | loss: 0.0543122 | val_loss: 0.0544006 | Time: 16484.7 ms [2020-11-11 21:24:57 main:574] : INFO : Epoch 78 | loss: 0.0541171 | val_loss: 0.0541962 | Time: 16402.4 ms [2020-11-11 21:25:13 main:574] : INFO : Epoch 79 | loss: 0.0539105 | val_loss: 0.0540069 | Time: 16246 ms [2020-11-11 21:25:30 main:574] : INFO : Epoch 80 | loss: 0.0537096 | val_loss: 0.0538402 | Time: 16987.9 ms [2020-11-11 21:25:47 main:574] : INFO : Epoch 81 | loss: 0.0534962 | val_loss: 0.0535947 | Time: 17116.1 ms [2020-11-11 21:26:04 main:574] : INFO : Epoch 82 | loss: 0.0532711 | val_loss: 0.0534065 | Time: 16919.7 ms [2020-11-11 21:26:21 main:574] : INFO : Epoch 83 | loss: 0.0530548 | val_loss: 0.0531999 | Time: 16492.3 ms [2020-11-11 21:26:37 main:574] : INFO : Epoch 84 | loss: 0.0528379 | val_loss: 0.0529555 | Time: 16673.9 ms [2020-11-11 21:26:53 main:574] : INFO : Epoch 85 | loss: 0.0525951 | val_loss: 0.0527902 | Time: 16100.4 ms [2020-11-11 21:27:10 main:574] : INFO : Epoch 86 | loss: 0.0523669 | val_loss: 0.0525763 | Time: 16110.1 ms [2020-11-11 21:27:28 main:574] : INFO : Epoch 87 | loss: 0.0521218 | val_loss: 0.0523407 | Time: 18264.8 ms [2020-11-11 21:27:45 main:574] : INFO : Epoch 88 | loss: 0.0518787 | val_loss: 0.0521432 | Time: 16872.3 ms [2020-11-11 21:28:01 main:574] : INFO : Epoch 89 | loss: 0.0516458 | val_loss: 0.0518759 | Time: 16392.9 ms [2020-11-11 21:28:17 main:574] : INFO : Epoch 90 | loss: 0.0513903 | val_loss: 0.0516577 | Time: 16392 ms [2020-11-11 21:28:34 main:574] : INFO : Epoch 91 | loss: 0.0511563 | val_loss: 0.0514526 | Time: 16639.8 ms [2020-11-11 21:28:51 main:574] : INFO : Epoch 92 | loss: 0.0508791 | val_loss: 0.0511466 | Time: 16724.3 ms [2020-11-11 21:29:07 main:574] : INFO : Epoch 93 | loss: 0.0506017 | val_loss: 0.050864 | Time: 16229.8 ms [2020-11-11 21:29:24 main:574] : INFO : Epoch 94 | loss: 0.0503233 | val_loss: 0.0506792 | Time: 16763.4 ms [2020-11-11 21:29:41 main:574] : INFO : Epoch 95 | loss: 0.0500359 | val_loss: 0.0503523 | Time: 16898.1 ms [2020-11-11 21:29:58 main:574] : INFO : Epoch 96 | loss: 0.0497548 | val_loss: 0.0501402 | Time: 16737.7 ms [2020-11-11 21:30:14 main:574] : INFO : Epoch 97 | loss: 0.0494657 | val_loss: 0.0498609 | Time: 16287.9 ms [2020-11-11 21:30:30 main:574] : INFO : Epoch 98 | loss: 0.0491591 | val_loss: 0.0496246 | Time: 16251.9 ms [2020-11-11 21:30:46 main:574] : INFO : Epoch 99 | loss: 0.0488364 | val_loss: 0.0493764 | Time: 16246.8 ms [2020-11-11 21:31:03 main:574] : INFO : Epoch 100 | loss: 0.0485157 | val_loss: 0.0490033 | Time: 16432.7 ms [2020-11-11 21:31:19 main:574] : INFO : Epoch 101 | loss: 0.0481832 | val_loss: 0.0487471 | Time: 16177 ms [2020-11-11 21:31:35 main:574] : INFO : Epoch 102 | loss: 0.047867 | val_loss: 0.04841 | Time: 16173.2 ms [2020-11-11 21:31:51 main:574] : INFO : Epoch 103 | loss: 0.0475237 | val_loss: 0.0481446 | Time: 16198.4 ms [2020-11-11 21:32:08 main:574] : INFO : Epoch 104 | loss: 0.0471336 | val_loss: 0.0477905 | Time: 16825.9 ms [2020-11-11 21:32:25 main:574] : INFO : Epoch 105 | loss: 0.0467467 | val_loss: 0.0474863 | Time: 16479.3 ms [2020-11-11 21:32:41 main:574] : INFO : Epoch 106 | loss: 0.0463986 | val_loss: 0.0470836 | Time: 16411 ms [2020-11-11 21:32:57 main:574] : INFO : Epoch 107 | loss: 0.0460096 | val_loss: 0.0468099 | Time: 16254.7 ms [2020-11-11 21:33:14 main:574] : INFO : Epoch 108 | loss: 0.0456155 | val_loss: 0.0465149 | Time: 16211.3 ms [2020-11-11 21:33:30 main:574] : INFO : Epoch 109 | loss: 0.0452092 | val_loss: 0.0461527 | Time: 16257.8 ms [2020-11-11 21:33:46 main:574] : INFO : Epoch 110 | loss: 0.0448081 | val_loss: 0.0457555 | Time: 16238.9 ms [2020-11-11 21:34:02 main:574] : INFO : Epoch 111 | loss: 0.0443983 | val_loss: 0.0453986 | Time: 16202.5 ms [2020-11-11 21:34:19 main:574] : INFO : Epoch 112 | loss: 0.0439477 | val_loss: 0.0450499 | Time: 16429.4 ms [2020-11-11 21:34:36 main:574] : INFO : Epoch 113 | loss: 0.0435218 | val_loss: 0.0446134 | Time: 16890.9 ms [2020-11-11 21:34:52 main:574] : INFO : Epoch 114 | loss: 0.0430701 | val_loss: 0.044336 | Time: 16082.5 ms [2020-11-11 21:35:08 main:574] : INFO : Epoch 115 | loss: 0.0425968 | val_loss: 0.0440068 | Time: 16056.5 ms [2020-11-11 21:35:24 main:574] : INFO : Epoch 116 | loss: 0.0421633 | val_loss: 0.0435358 | Time: 16093.3 ms [2020-11-11 21:35:40 main:574] : INFO : Epoch 117 | loss: 0.041703 | val_loss: 0.0431454 | Time: 16369.4 ms [2020-11-11 21:35:57 main:574] : INFO : Epoch 118 | loss: 0.0412214 | val_loss: 0.0427478 | Time: 16381 ms [2020-11-11 21:36:13 main:574] : INFO : Epoch 119 | loss: 0.0407171 | val_loss: 0.0423159 | Time: 15939.7 ms [2020-11-11 21:36:29 main:574] : INFO : Epoch 120 | loss: 0.0402172 | val_loss: 0.0419165 | Time: 16148.1 ms [2020-11-11 21:36:47 main:574] : INFO : Epoch 121 | loss: 0.0397212 | val_loss: 0.0415445 | Time: 17881.2 ms [2020-11-11 21:37:04 main:574] : INFO : Epoch 122 | loss: 0.039211 | val_loss: 0.0410303 | Time: 17203.9 ms [2020-11-11 21:37:20 main:574] : INFO : Epoch 123 | loss: 0.0387012 | val_loss: 0.0408224 | Time: 16093.5 ms [2020-11-11 21:37:36 main:574] : INFO : Epoch 124 | loss: 0.0381699 | val_loss: 0.0401678 | Time: 16068.8 ms [2020-11-11 21:37:52 main:574] : INFO : Epoch 125 | loss: 0.0376408 | val_loss: 0.0399047 | Time: 16032.9 ms [2020-11-11 21:38:09 main:574] : INFO : Epoch 126 | loss: 0.0370397 | val_loss: 0.0396896 | Time: 16324.9 ms [2020-11-11 21:38:25 main:574] : INFO : Epoch 127 | loss: 0.0365046 | val_loss: 0.0392163 | Time: 16196.1 ms [2020-11-11 21:38:41 main:574] : INFO : Epoch 128 | loss: 0.0359228 | val_loss: 0.0387467 | Time: 16206.1 ms [2020-11-11 21:38:57 main:574] : INFO : Epoch 129 | loss: 0.0353602 | val_loss: 0.0381864 | Time: 16099 ms [2020-11-11 21:39:13 main:574] : INFO : Epoch 130 | loss: 0.0347816 | val_loss: 0.0378237 | Time: 16052.3 ms [2020-11-11 21:39:29 main:574] : INFO : Epoch 131 | loss: 0.0341966 | val_loss: 0.0373359 | Time: 16068.2 ms [2020-11-11 21:39:45 main:574] : INFO : Epoch 132 | loss: 0.0335523 | val_loss: 0.0369504 | Time: 16056 ms [2020-11-11 21:40:01 main:574] : INFO : Epoch 133 | loss: 0.0329321 | val_loss: 0.0365567 | Time: 16065.1 ms [2020-11-11 21:40:18 main:574] : INFO : Epoch 134 | loss: 0.0322221 | val_loss: 0.0358931 | Time: 16191.6 ms [2020-11-11 21:40:34 main:574] : INFO : Epoch 135 | loss: 0.0315401 | val_loss: 0.0355799 | Time: 16570.4 ms [2020-11-11 21:40:50 main:574] : INFO : Epoch 136 | loss: 0.0309231 | val_loss: 0.0351366 | Time: 16053.1 ms [2020-11-11 21:41:06 main:574] : INFO : Epoch 137 | loss: 0.0302004 | val_loss: 0.0346125 | Time: 16068.5 ms [2020-11-11 21:41:23 main:574] : INFO : Epoch 138 | loss: 0.029505 | val_loss: 0.0341752 | Time: 16185.3 ms [2020-11-11 21:41:39 main:574] : INFO : Epoch 139 | loss: 0.028678 | val_loss: 0.0334216 | Time: 16012.3 ms [2020-11-11 21:41:54 main:574] : INFO : Epoch 140 | loss: 0.0279216 | val_loss: 0.0327418 | Time: 15878.5 ms [2020-11-11 21:42:10 main:574] : INFO : Epoch 141 | loss: 0.0271813 | val_loss: 0.0322736 | Time: 15859 ms [2020-11-11 21:42:26 main:574] : INFO : Epoch 142 | loss: 0.0263474 | val_loss: 0.0319179 | Time: 15905.7 ms [2020-11-11 21:42:42 main:574] : INFO : Epoch 143 | loss: 0.0253959 | val_loss: 0.0310733 | Time: 15905.8 ms [2020-11-11 21:42:58 main:574] : INFO : Epoch 144 | loss: 0.0246721 | val_loss: 0.0306848 | Time: 16015 ms [2020-11-11 21:43:14 main:574] : INFO : Epoch 145 | loss: 0.0236597 | val_loss: 0.0296289 | Time: 15862.7 ms [2020-11-11 21:43:30 main:574] : INFO : Epoch 146 | loss: 0.0228157 | val_loss: 0.028862 | Time: 15877.6 ms [2020-11-11 21:43:46 main:574] : INFO : Epoch 147 | loss: 0.0219265 | val_loss: 0.0280132 | Time: 15879.5 ms [2020-11-11 21:44:02 main:574] : INFO : Epoch 148 | loss: 0.0209725 | val_loss: 0.0273257 | Time: 15880 ms [2020-11-11 21:44:18 main:574] : INFO : Epoch 149 | loss: 0.0208848 | val_loss: 0.0262317 | Time: 15879.2 ms [2020-11-11 21:44:33 main:574] : INFO : Epoch 150 | loss: 0.0193129 | val_loss: 0.0259967 | Time: 15842.4 ms [2020-11-11 21:44:49 main:574] : INFO : Epoch 151 | loss: 0.0185637 | val_loss: 0.0242828 | Time: 15888.1 ms [2020-11-11 21:45:05 main:574] : INFO : Epoch 152 | loss: 0.0182072 | val_loss: 0.0244473 | Time: 15864.9 ms [2020-11-11 21:45:21 main:574] : INFO : Epoch 153 | loss: 0.0179807 | val_loss: 0.0231202 | Time: 15865.2 ms [2020-11-11 21:45:37 main:574] : INFO : Epoch 154 | loss: 0.0178618 | val_loss: 0.0214907 | Time: 15861.2 ms [2020-11-11 21:45:53 main:574] : INFO : Epoch 155 | loss: 0.0181421 | val_loss: 0.0221647 | Time: 15906 ms [2020-11-11 21:46:09 main:574] : INFO : Epoch 156 | loss: 0.0197338 | val_loss: 0.0403068 | Time: 15860.2 ms [2020-11-11 21:46:25 main:574] : INFO : Epoch 157 | loss: 0.0202124 | val_loss: 0.0181943 | Time: 15893.8 ms [2020-11-11 21:46:41 main:574] : INFO : Epoch 158 | loss: 0.026252 | val_loss: 0.0228136 | Time: 15845.9 ms [2020-11-11 21:46:56 main:574] : INFO : Epoch 159 | loss: 0.0175549 | val_loss: 0.0186458 | Time: 15865.1 ms [2020-11-11 21:47:13 main:574] : INFO : Epoch 160 | loss: 0.0146499 | val_loss: 0.0164272 | Time: 16402.4 ms [2020-11-11 21:47:29 main:574] : INFO : Epoch 161 | loss: 0.0137453 | val_loss: 0.0166973 | Time: 15879 ms [2020-11-11 21:47:45 main:574] : INFO : Epoch 162 | loss: 0.0218161 | val_loss: 0.0223112 | Time: 16110.3 ms [2020-11-11 21:48:01 main:574] : INFO : Epoch 163 | loss: 0.0165309 | val_loss: 0.0252475 | Time: 16065.6 ms [2020-11-11 21:48:17 main:574] : INFO : Epoch 164 | loss: 0.0251836 | val_loss: 0.0465811 | Time: 16064.6 ms [2020-11-11 21:48:33 main:574] : INFO : Epoch 165 | loss: 0.0280004 | val_loss: 0.0210204 | Time: 16052 ms [2020-11-11 21:48:49 main:574] : INFO : Epoch 166 | loss: 0.0195998 | val_loss: 0.0177294 | Time: 16056.6 ms [2020-11-11 21:49:05 main:574] : INFO : Epoch 167 | loss: 0.0140828 | val_loss: 0.0139395 | Time: 16069.5 ms [2020-11-11 21:49:21 main:574] : INFO : Epoch 168 | loss: 0.0123513 | val_loss: 0.0129501 | Time: 16059.1 ms [2020-11-11 21:49:37 main:574] : INFO : Epoch 169 | loss: 0.0103584 | val_loss: 0.0117912 | Time: 16066 ms [2020-11-11 21:49:53 main:574] : INFO : Epoch 170 | loss: 0.0281715 | val_loss: 0.0179034 | Time: 16037.2 ms [2020-11-11 21:50:10 main:574] : INFO : Epoch 171 | loss: 0.0167282 | val_loss: 0.0518281 | Time: 16067.1 ms [2020-11-11 21:50:26 main:574] : INFO : Epoch 172 | loss: 0.0292824 | val_loss: 0.0162672 | Time: 16047 ms [2020-11-11 21:50:42 main:574] : INFO : Epoch 173 | loss: 0.0125678 | val_loss: 0.0126324 | Time: 16064.6 ms [2020-11-11 21:50:58 main:574] : INFO : Epoch 174 | loss: 0.0109212 | val_loss: 0.0134847 | Time: 16061.9 ms [2020-11-11 21:51:14 main:574] : INFO : Epoch 175 | loss: 0.0106788 | val_loss: 0.0108332 | Time: 16056.7 ms [2020-11-11 21:51:30 main:574] : INFO : Epoch 176 | loss: 0.0105517 | val_loss: 0.015575 | Time: 16060.8 ms [2020-11-11 21:51:46 main:574] : INFO : Epoch 177 | loss: 0.0103113 | val_loss: 0.0107766 | Time: 16511.8 ms [2020-11-11 21:52:02 main:574] : INFO : Epoch 178 | loss: 0.00901407 | val_loss: 0.00997325 | Time: 16069 ms [2020-11-11 21:52:19 main:574] : INFO : Epoch 179 | loss: 0.0204508 | val_loss: 0.053756 | Time: 16317.6 ms [2020-11-11 21:52:35 main:574] : INFO : Epoch 180 | loss: 0.0367476 | val_loss: 0.0217943 | Time: 16074 ms [2020-11-11 21:52:51 main:574] : INFO : Epoch 181 | loss: 0.0141707 | val_loss: 0.0138284 | Time: 16073.6 ms [2020-11-11 21:53:07 main:574] : INFO : Epoch 182 | loss: 0.0140921 | val_loss: 0.013301 | Time: 16081.1 ms [2020-11-11 21:53:23 main:574] : INFO : Epoch 183 | loss: 0.0102931 | val_loss: 0.0104076 | Time: 16068.3 ms [2020-11-11 21:53:39 main:574] : INFO : Epoch 184 | loss: 0.00896734 | val_loss: 0.00964922 | Time: 16066.8 ms [2020-11-11 21:53:55 main:574] : INFO : Epoch 185 | loss: 0.0348974 | val_loss: 0.0549185 | Time: 16048.3 ms [2020-11-11 21:54:11 main:574] : INFO : Epoch 186 | loss: 0.0453149 | val_loss: 0.0304779 | Time: 16051.7 ms [2020-11-11 21:54:27 main:574] : INFO : Epoch 187 | loss: 0.023536 | val_loss: 0.0180937 | Time: 16072.5 ms [2020-11-11 21:54:44 main:574] : INFO : Epoch 188 | loss: 0.0128661 | val_loss: 0.0160707 | Time: 16090.7 ms [2020-11-11 21:55:00 main:574] : INFO : Epoch 189 | loss: 0.0110178 | val_loss: 0.0107529 | Time: 16056 ms [2020-11-11 21:55:16 main:574] : INFO : Epoch 190 | loss: 0.0189126 | val_loss: 0.0126497 | Time: 16073.1 ms [2020-11-11 21:55:32 main:574] : INFO : Epoch 191 | loss: 0.0102661 | val_loss: 0.0104277 | Time: 16070.3 ms [2020-11-11 21:55:48 main:574] : INFO : Epoch 192 | loss: 0.0093313 | val_loss: 0.0130601 | Time: 16063.8 ms [2020-11-11 21:55:48 main:597] : INFO : Saving trained model to model-final.pt, val_loss 0.0130601 [2020-11-11 21:55:48 main:603] : INFO : Saving end state to config to file [2020-11-11 21:55:48 main:608] : INFO : Success, exiting.. 21:55:48 (7648): 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)