| Name | rand_automata_0055-1604947482-21617-0_1 |
| Workunit | 1259372 |
| Created | 9 Nov 2020, 18:58:31 UTC |
| Sent | 9 Nov 2020, 19:02:06 UTC |
| Report deadline | 10 Nov 2020, 17:32:06 UTC |
| Received | 10 Nov 2020, 4:18:32 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 596 |
| Run time | 51 min 13 sec |
| CPU time | 49 min 44 sec |
| Validate state | Valid |
| Credit | 959.40 |
| Device peak FLOPS | 7,315.00 GFLOPS |
| Application version | Machine Learning Dataset Generator (test) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 1.97 GB |
| Peak swap size | 3.93 GB |
| Peak disk usage | 1.54 GB |
<core_client_version>7.14.2</core_client_version> <![CDATA[ <stderr_txt> Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: GeForce RTX 2060 SUPER) [2020-11-10 04:27:05 main:435] : INFO : Set logging level to 1 [2020-11-10 04:27:05 main:441] : INFO : Running in BOINC Client mode [2020-11-10 04:27:05 main:444] : INFO : Resolving all filenames [2020-11-10 04:27:05 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0055-train-val-dataset.hdf5 (exists = 1) [2020-11-10 04:27:05 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0055-1604947482-21617-0_1_r1132562997_1 (exists = 0) [2020-11-10 04:27:05 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0055-1604947482-21617-0_1_r1132562997_0 (exists = 0) [2020-11-10 04:27:05 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-10 04:27:05 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-10 04:27:05 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0055-train-val-dataset.hdf5 [2020-11-10 04:27:05 main:474] : INFO : Configuration: [2020-11-10 04:27:05 main:475] : INFO : Model type: LSTM [2020-11-10 04:27:05 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-10 04:27:05 main:477] : INFO : Max Epochs: 192 [2020-11-10 04:27:05 main:478] : INFO : Batch Size: 32 [2020-11-10 04:27:05 main:479] : INFO : Learning Rate: 0.001 [2020-11-10 04:27:05 main:480] : INFO : Patience: 10 [2020-11-10 04:27:05 main:481] : INFO : Hidden Width: 64 [2020-11-10 04:27:05 main:482] : INFO : # Recurrent Layers: 4 [2020-11-10 04:27:05 main:483] : INFO : # Backend Layers: 2 [2020-11-10 04:27:05 main:484] : INFO : # Threads: 1 [2020-11-10 04:27:05 main:486] : INFO : Preparing Dataset [2020-11-10 04:27:05 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0055-train-val-dataset.hdf5 into memory [2020-11-10 04:27:06 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0055-train-val-dataset.hdf5 into memory [2020-11-10 04:27:12 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-10 04:27:12 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0055-train-val-dataset.hdf5 into memory [2020-11-10 04:27:12 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0055-train-val-dataset.hdf5 into memory [2020-11-10 04:27:12 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-10 04:27:12 main:494] : INFO : Creating Model [2020-11-10 04:27:12 main:507] : INFO : Preparing config file [2020-11-10 04:27:12 main:519] : INFO : Creating new config file [2020-11-10 04:27:18 main:559] : INFO : Loading DataLoader into Memory [2020-11-10 04:27:18 main:562] : INFO : Starting Training [2020-11-10 04:27:35 main:574] : INFO : Epoch 1 | loss: 0.065514 | val_loss: 0.0650876 | Time: 17020.1 ms [2020-11-10 04:27:51 main:574] : INFO : Epoch 2 | loss: 0.0642879 | val_loss: 0.0624061 | Time: 15966.4 ms [2020-11-10 04:28:07 main:574] : INFO : Epoch 3 | loss: 0.0611217 | val_loss: 0.05967 | Time: 15946.3 ms [2020-11-10 04:28:22 main:574] : INFO : Epoch 4 | loss: 0.0583866 | val_loss: 0.0570805 | Time: 15722.4 ms [2020-11-10 04:28:38 main:574] : INFO : Epoch 5 | loss: 0.0562414 | val_loss: 0.055303 | Time: 15864 ms [2020-11-10 04:28:54 main:574] : INFO : Epoch 6 | loss: 0.0546124 | val_loss: 0.0538496 | Time: 15871.9 ms [2020-11-10 04:29:10 main:574] : INFO : Epoch 7 | loss: 0.0533671 | val_loss: 0.0529047 | Time: 15762.1 ms [2020-11-10 04:29:26 main:574] : INFO : Epoch 8 | loss: 0.0523544 | val_loss: 0.0519126 | Time: 15866.2 ms [2020-11-10 04:29:42 main:574] : INFO : Epoch 9 | loss: 0.0513949 | val_loss: 0.0510369 | Time: 15855.8 ms [2020-11-10 04:29:58 main:574] : INFO : Epoch 10 | loss: 0.0504705 | val_loss: 0.0501129 | Time: 15792.7 ms [2020-11-10 04:30:14 main:574] : INFO : Epoch 11 | loss: 0.0495362 | val_loss: 0.0492772 | Time: 15820.4 ms [2020-11-10 04:30:30 main:574] : INFO : Epoch 12 | loss: 0.0485175 | val_loss: 0.0482418 | Time: 15861.6 ms [2020-11-10 04:30:45 main:574] : INFO : Epoch 13 | loss: 0.047415 | val_loss: 0.0471977 | Time: 15582.7 ms [2020-11-10 04:31:01 main:574] : INFO : Epoch 14 | loss: 0.0461279 | val_loss: 0.0458093 | Time: 15897.6 ms [2020-11-10 04:31:17 main:574] : INFO : Epoch 15 | loss: 0.0446744 | val_loss: 0.0447393 | Time: 15820.7 ms [2020-11-10 04:31:33 main:574] : INFO : Epoch 16 | loss: 0.043016 | val_loss: 0.0428074 | Time: 15674.1 ms [2020-11-10 04:31:49 main:574] : INFO : Epoch 17 | loss: 0.0410888 | val_loss: 0.0408069 | Time: 15818.4 ms [2020-11-10 04:32:04 main:574] : INFO : Epoch 18 | loss: 0.0388439 | val_loss: 0.0388792 | Time: 15767.4 ms [2020-11-10 04:32:20 main:574] : INFO : Epoch 19 | loss: 0.0364996 | val_loss: 0.0363691 | Time: 15748.9 ms [2020-11-10 04:32:36 main:574] : INFO : Epoch 20 | loss: 0.0338335 | val_loss: 0.0342325 | Time: 15747.8 ms [2020-11-10 04:32:52 main:574] : INFO : Epoch 21 | loss: 0.0315781 | val_loss: 0.0309144 | Time: 15832.3 ms [2020-11-10 04:33:08 main:574] : INFO : Epoch 22 | loss: 0.0308665 | val_loss: 0.0289335 | Time: 15731.2 ms [2020-11-10 04:33:24 main:574] : INFO : Epoch 23 | loss: 0.0373484 | val_loss: 0.0476111 | Time: 15986.1 ms [2020-11-10 04:33:40 main:574] : INFO : Epoch 24 | loss: 0.0329847 | val_loss: 0.030014 | Time: 15895.5 ms [2020-11-10 04:33:55 main:574] : INFO : Epoch 25 | loss: 0.0243052 | val_loss: 0.0270546 | Time: 15868.1 ms [2020-11-10 04:34:11 main:574] : INFO : Epoch 26 | loss: 0.0216038 | val_loss: 0.020142 | Time: 15851.4 ms [2020-11-10 04:34:27 main:574] : INFO : Epoch 27 | loss: 0.0191003 | val_loss: 0.0218706 | Time: 15884.7 ms [2020-11-10 04:34:43 main:574] : INFO : Epoch 28 | loss: 0.0185908 | val_loss: 0.0232042 | Time: 15751.1 ms [2020-11-10 04:34:59 main:574] : INFO : Epoch 29 | loss: 0.0276585 | val_loss: 0.0608819 | Time: 15940.5 ms [2020-11-10 04:35:15 main:574] : INFO : Epoch 30 | loss: 0.0591033 | val_loss: 0.0577108 | Time: 15776.4 ms [2020-11-10 04:35:31 main:574] : INFO : Epoch 31 | loss: 0.0565803 | val_loss: 0.0553107 | Time: 15763.6 ms [2020-11-10 04:35:46 main:574] : INFO : Epoch 32 | loss: 0.0538733 | val_loss: 0.0522628 | Time: 15726.1 ms [2020-11-10 04:36:02 main:574] : INFO : Epoch 33 | loss: 0.0500409 | val_loss: 0.0473842 | Time: 15842.8 ms [2020-11-10 04:36:18 main:574] : INFO : Epoch 34 | loss: 0.0419327 | val_loss: 0.0345523 | Time: 15845.7 ms [2020-11-10 04:36:34 main:574] : INFO : Epoch 35 | loss: 0.0276593 | val_loss: 0.0250942 | Time: 15699.6 ms [2020-11-10 04:36:50 main:574] : INFO : Epoch 36 | loss: 0.0197485 | val_loss: 0.0177449 | Time: 15697.6 ms [2020-11-10 04:37:06 main:574] : INFO : Epoch 37 | loss: 0.0173179 | val_loss: 0.0161252 | Time: 15854.9 ms [2020-11-10 04:37:21 main:574] : INFO : Epoch 38 | loss: 0.0150318 | val_loss: 0.0171122 | Time: 15796.8 ms [2020-11-10 04:37:37 main:574] : INFO : Epoch 39 | loss: 0.0199022 | val_loss: 0.0179205 | Time: 15951.5 ms [2020-11-10 04:37:53 main:574] : INFO : Epoch 40 | loss: 0.0144234 | val_loss: 0.0125461 | Time: 15924.9 ms [2020-11-10 04:38:09 main:574] : INFO : Epoch 41 | loss: 0.0149996 | val_loss: 0.0126177 | Time: 15909.6 ms [2020-11-10 04:38:25 main:574] : INFO : Epoch 42 | loss: 0.0109086 | val_loss: 0.0113963 | Time: 15854.9 ms [2020-11-10 04:38:41 main:574] : INFO : Epoch 43 | loss: 0.00997325 | val_loss: 0.0307166 | Time: 15803 ms [2020-11-10 04:38:57 main:574] : INFO : Epoch 44 | loss: 0.036435 | val_loss: 0.0371747 | Time: 15768.5 ms [2020-11-10 04:39:13 main:574] : INFO : Epoch 45 | loss: 0.017542 | val_loss: 0.011907 | Time: 15836.5 ms [2020-11-10 04:39:29 main:574] : INFO : Epoch 46 | loss: 0.0105699 | val_loss: 0.0106027 | Time: 15932.4 ms [2020-11-10 04:39:45 main:574] : INFO : Epoch 47 | loss: 0.00956441 | val_loss: 0.00946186 | Time: 15946 ms [2020-11-10 04:40:01 main:574] : INFO : Epoch 48 | loss: 0.0090154 | val_loss: 0.00900528 | Time: 15872.7 ms [2020-11-10 04:40:17 main:574] : INFO : Epoch 49 | loss: 0.0101187 | val_loss: 0.00923732 | Time: 15958.4 ms [2020-11-10 04:40:32 main:574] : INFO : Epoch 50 | loss: 0.00844553 | val_loss: 0.00834374 | Time: 15745.3 ms [2020-11-10 04:40:48 main:574] : INFO : Epoch 51 | loss: 0.00787267 | val_loss: 0.00794879 | Time: 15722.1 ms [2020-11-10 04:41:04 main:574] : INFO : Epoch 52 | loss: 0.00757269 | val_loss: 0.00761498 | Time: 15703.6 ms [2020-11-10 04:41:20 main:574] : INFO : Epoch 53 | loss: 0.00740796 | val_loss: 0.00744169 | Time: 15744.9 ms [2020-11-10 04:41:36 main:574] : INFO : Epoch 54 | loss: 0.00710384 | val_loss: 0.00716084 | Time: 15803 ms [2020-11-10 04:41:51 main:574] : INFO : Epoch 55 | loss: 0.00727094 | val_loss: 0.00701961 | Time: 15728.8 ms [2020-11-10 04:42:07 main:574] : INFO : Epoch 56 | loss: 0.00674607 | val_loss: 0.012475 | Time: 15630.2 ms [2020-11-10 04:42:23 main:574] : INFO : Epoch 57 | loss: 0.00748524 | val_loss: 0.00670293 | Time: 15901.6 ms [2020-11-10 04:42:39 main:574] : INFO : Epoch 58 | loss: 0.0063658 | val_loss: 0.00640183 | Time: 15967.4 ms [2020-11-10 04:42:55 main:574] : INFO : Epoch 59 | loss: 0.00614342 | val_loss: 0.00621186 | Time: 15869.6 ms [2020-11-10 04:43:11 main:574] : INFO : Epoch 60 | loss: 0.00593853 | val_loss: 0.00601496 | Time: 15987.6 ms [2020-11-10 04:43:27 main:574] : INFO : Epoch 61 | loss: 0.00575801 | val_loss: 0.00584136 | Time: 15812.5 ms [2020-11-10 04:43:43 main:574] : INFO : Epoch 62 | loss: 0.0055837 | val_loss: 0.00566327 | Time: 15822.3 ms [2020-11-10 04:43:58 main:574] : INFO : Epoch 63 | loss: 0.00541414 | val_loss: 0.00550167 | Time: 15856.2 ms [2020-11-10 04:44:14 main:574] : INFO : Epoch 64 | loss: 0.00524654 | val_loss: 0.00532812 | Time: 15877.1 ms [2020-11-10 04:44:30 main:574] : INFO : Epoch 65 | loss: 0.00508236 | val_loss: 0.00515142 | Time: 15754.3 ms [2020-11-10 04:44:46 main:574] : INFO : Epoch 66 | loss: 0.00492061 | val_loss: 0.00498936 | Time: 15731 ms [2020-11-10 04:45:02 main:574] : INFO : Epoch 67 | loss: 0.00476028 | val_loss: 0.00482282 | Time: 15781.7 ms [2020-11-10 04:45:18 main:574] : INFO : Epoch 68 | loss: 0.00460564 | val_loss: 0.00466075 | Time: 15785.6 ms [2020-11-10 04:45:34 main:574] : INFO : Epoch 69 | loss: 0.00444839 | val_loss: 0.00450239 | Time: 15921.5 ms [2020-11-10 04:45:50 main:574] : INFO : Epoch 70 | loss: 0.00429557 | val_loss: 0.00434975 | Time: 15849.8 ms [2020-11-10 04:46:05 main:574] : INFO : Epoch 71 | loss: 0.00414662 | val_loss: 0.00419132 | Time: 15821.5 ms [2020-11-10 04:46:21 main:574] : INFO : Epoch 72 | loss: 0.0039967 | val_loss: 0.00404015 | Time: 15844.4 ms [2020-11-10 04:46:37 main:574] : INFO : Epoch 73 | loss: 0.00385202 | val_loss: 0.00389168 | Time: 15927.6 ms [2020-11-10 04:46:53 main:574] : INFO : Epoch 74 | loss: 0.00370992 | val_loss: 0.0037367 | Time: 15782.5 ms [2020-11-10 04:47:09 main:574] : INFO : Epoch 75 | loss: 0.00357122 | val_loss: 0.00357684 | Time: 15732.4 ms [2020-11-10 04:47:25 main:574] : INFO : Epoch 76 | loss: 0.00343403 | val_loss: 0.00343881 | Time: 15839.7 ms [2020-11-10 04:47:41 main:574] : INFO : Epoch 77 | loss: 0.00330081 | val_loss: 0.00330808 | Time: 15901.1 ms [2020-11-10 04:47:56 main:574] : INFO : Epoch 78 | loss: 0.00317187 | val_loss: 0.0031748 | Time: 15700.4 ms [2020-11-10 04:48:12 main:574] : INFO : Epoch 79 | loss: 0.00304433 | val_loss: 0.00304399 | Time: 15785.5 ms [2020-11-10 04:48:28 main:574] : INFO : Epoch 80 | loss: 0.00292143 | val_loss: 0.00291444 | Time: 15883.6 ms [2020-11-10 04:48:44 main:574] : INFO : Epoch 81 | loss: 0.00280172 | val_loss: 0.00279381 | Time: 15807.1 ms [2020-11-10 04:49:00 main:574] : INFO : Epoch 82 | loss: 0.0026818 | val_loss: 0.00267882 | Time: 15858 ms [2020-11-10 04:49:16 main:574] : INFO : Epoch 83 | loss: 0.00256886 | val_loss: 0.0025609 | Time: 15582 ms [2020-11-10 04:49:32 main:574] : INFO : Epoch 84 | loss: 0.00245849 | val_loss: 0.00244903 | Time: 15800.6 ms [2020-11-10 04:49:47 main:574] : INFO : Epoch 85 | loss: 0.00235124 | val_loss: 0.00234142 | Time: 15842.1 ms [2020-11-10 04:50:03 main:574] : INFO : Epoch 86 | loss: 0.00224835 | val_loss: 0.00220796 | Time: 15866.7 ms [2020-11-10 04:50:19 main:574] : INFO : Epoch 87 | loss: 0.00214874 | val_loss: 0.00210979 | Time: 15882.7 ms [2020-11-10 04:50:35 main:574] : INFO : Epoch 88 | loss: 0.0020535 | val_loss: 0.00201432 | Time: 16045 ms [2020-11-10 04:50:51 main:574] : INFO : Epoch 89 | loss: 0.00196087 | val_loss: 0.00192483 | Time: 15839.3 ms [2020-11-10 04:51:07 main:574] : INFO : Epoch 90 | loss: 0.00187127 | val_loss: 0.00183126 | Time: 15891.6 ms [2020-11-10 04:51:23 main:574] : INFO : Epoch 91 | loss: 0.00178586 | val_loss: 0.00174624 | Time: 15901.6 ms [2020-11-10 04:51:39 main:574] : INFO : Epoch 92 | loss: 0.00170323 | val_loss: 0.00166299 | Time: 15790.8 ms [2020-11-10 04:51:55 main:574] : INFO : Epoch 93 | loss: 0.0016241 | val_loss: 0.0015887 | Time: 15677.7 ms [2020-11-10 04:52:10 main:574] : INFO : Epoch 94 | loss: 0.00154763 | val_loss: 0.00151125 | Time: 15692.4 ms [2020-11-10 04:52:26 main:574] : INFO : Epoch 95 | loss: 0.00147512 | val_loss: 0.00144207 | Time: 15969.7 ms [2020-11-10 04:52:42 main:574] : INFO : Epoch 96 | loss: 0.00140509 | val_loss: 0.00137227 | Time: 15789.2 ms [2020-11-10 04:52:58 main:574] : INFO : Epoch 97 | loss: 0.00133867 | val_loss: 0.00130562 | Time: 15784.6 ms [2020-11-10 04:53:14 main:574] : INFO : Epoch 98 | loss: 0.00127485 | val_loss: 0.00124752 | Time: 15776.5 ms [2020-11-10 04:53:30 main:574] : INFO : Epoch 99 | loss: 0.00121463 | val_loss: 0.00118692 | Time: 15803 ms [2020-11-10 04:53:46 main:574] : INFO : Epoch 100 | loss: 0.00115626 | val_loss: 0.00112951 | Time: 15853.1 ms [2020-11-10 04:54:01 main:574] : INFO : Epoch 101 | loss: 0.00110119 | val_loss: 0.00107493 | Time: 15739.8 ms [2020-11-10 04:54:17 main:574] : INFO : Epoch 102 | loss: 0.001048 | val_loss: 0.00102409 | Time: 15811.2 ms [2020-11-10 04:54:33 main:574] : INFO : Epoch 103 | loss: 0.000998087 | val_loss: 0.000973644 | Time: 15862.8 ms [2020-11-10 04:54:49 main:574] : INFO : Epoch 104 | loss: 0.000951009 | val_loss: 0.000928876 | Time: 15953.9 ms [2020-11-10 04:55:05 main:574] : INFO : Epoch 105 | loss: 0.00090562 | val_loss: 0.000885277 | Time: 15880.9 ms [2020-11-10 04:55:21 main:574] : INFO : Epoch 106 | loss: 0.000863197 | val_loss: 0.000842876 | Time: 15835.9 ms [2020-11-10 04:55:37 main:574] : INFO : Epoch 107 | loss: 0.000822893 | val_loss: 0.00080607 | Time: 16027.5 ms [2020-11-10 04:55:53 main:574] : INFO : Epoch 108 | loss: 0.00078431 | val_loss: 0.000765823 | Time: 15767.1 ms [2020-11-10 04:56:09 main:574] : INFO : Epoch 109 | loss: 0.000747615 | val_loss: 0.000731778 | Time: 15777 ms [2020-11-10 04:56:25 main:574] : INFO : Epoch 110 | loss: 0.000713265 | val_loss: 0.000696658 | Time: 15913.9 ms [2020-11-10 04:56:41 main:574] : INFO : Epoch 111 | loss: 0.000680613 | val_loss: 0.000667899 | Time: 15859.8 ms [2020-11-10 04:56:56 main:574] : INFO : Epoch 112 | loss: 0.000649238 | val_loss: 0.000634745 | Time: 15769.6 ms [2020-11-10 04:57:12 main:574] : INFO : Epoch 113 | loss: 0.000619615 | val_loss: 0.000607124 | Time: 15752 ms [2020-11-10 04:57:28 main:574] : INFO : Epoch 114 | loss: 0.000591379 | val_loss: 0.000579979 | Time: 15870.1 ms [2020-11-10 04:57:44 main:574] : INFO : Epoch 115 | loss: 0.000565034 | val_loss: 0.000553986 | Time: 15751.7 ms [2020-11-10 04:58:00 main:574] : INFO : Epoch 116 | loss: 0.000539033 | val_loss: 0.000527552 | Time: 15815.9 ms [2020-11-10 04:58:15 main:574] : INFO : Epoch 117 | loss: 0.000514663 | val_loss: 0.000504855 | Time: 15653.6 ms [2020-11-10 04:58:31 main:574] : INFO : Epoch 118 | loss: 0.000492007 | val_loss: 0.000482855 | Time: 15840.4 ms [2020-11-10 04:58:47 main:574] : INFO : Epoch 119 | loss: 0.000470908 | val_loss: 0.000460662 | Time: 15934.2 ms [2020-11-10 04:59:03 main:574] : INFO : Epoch 120 | loss: 0.000449698 | val_loss: 0.00043931 | Time: 15756.4 ms [2020-11-10 04:59:19 main:574] : INFO : Epoch 121 | loss: 0.000430146 | val_loss: 0.000420488 | Time: 15670.1 ms [2020-11-10 04:59:35 main:574] : INFO : Epoch 122 | loss: 0.000411351 | val_loss: 0.000403891 | Time: 15953.9 ms [2020-11-10 04:59:51 main:574] : INFO : Epoch 123 | loss: 0.000394056 | val_loss: 0.000386515 | Time: 15923.2 ms [2020-11-10 05:00:07 main:574] : INFO : Epoch 124 | loss: 0.000377175 | val_loss: 0.000369133 | Time: 15733.9 ms [2020-11-10 05:00:22 main:574] : INFO : Epoch 125 | loss: 0.000361175 | val_loss: 0.000354631 | Time: 15698.3 ms [2020-11-10 05:00:38 main:574] : INFO : Epoch 126 | loss: 0.000346456 | val_loss: 0.000339555 | Time: 15991 ms [2020-11-10 05:00:54 main:574] : INFO : Epoch 127 | loss: 0.000331794 | val_loss: 0.00032652 | Time: 15758.9 ms [2020-11-10 05:01:10 main:574] : INFO : Epoch 128 | loss: 0.000318306 | val_loss: 0.000312707 | Time: 15923.4 ms [2020-11-10 05:01:26 main:574] : INFO : Epoch 129 | loss: 0.000305766 | val_loss: 0.000301955 | Time: 15701.7 ms [2020-11-10 05:01:42 main:574] : INFO : Epoch 130 | loss: 0.000293451 | val_loss: 0.00028677 | Time: 15879.3 ms [2020-11-10 05:01:58 main:574] : INFO : Epoch 131 | loss: 0.000281456 | val_loss: 0.000276976 | Time: 15829.3 ms [2020-11-10 05:02:14 main:574] : INFO : Epoch 132 | loss: 0.000270959 | val_loss: 0.000265588 | Time: 16008.8 ms [2020-11-10 05:02:30 main:574] : INFO : Epoch 133 | loss: 0.000260206 | val_loss: 0.00025689 | Time: 15863.9 ms [2020-11-10 05:02:45 main:574] : INFO : Epoch 134 | loss: 0.000250565 | val_loss: 0.000246357 | Time: 15916.8 ms [2020-11-10 05:03:01 main:574] : INFO : Epoch 135 | loss: 0.000241184 | val_loss: 0.000237485 | Time: 15908.3 ms [2020-11-10 05:03:17 main:574] : INFO : Epoch 136 | loss: 0.000232668 | val_loss: 0.000229644 | Time: 15907.6 ms [2020-11-10 05:03:33 main:574] : INFO : Epoch 137 | loss: 0.000224311 | val_loss: 0.000221066 | Time: 15664.8 ms [2020-11-10 05:03:49 main:574] : INFO : Epoch 138 | loss: 0.00021574 | val_loss: 0.000212533 | Time: 15857.7 ms [2020-11-10 05:04:05 main:574] : INFO : Epoch 139 | loss: 0.000208188 | val_loss: 0.00020673 | Time: 15781.8 ms [2020-11-10 05:04:21 main:574] : INFO : Epoch 140 | loss: 0.000200824 | val_loss: 0.000197838 | Time: 15721.6 ms [2020-11-10 05:04:37 main:574] : INFO : Epoch 141 | loss: 0.000193882 | val_loss: 0.000192395 | Time: 16045 ms [2020-11-10 05:04:53 main:574] : INFO : Epoch 142 | loss: 0.000188077 | val_loss: 0.000184957 | Time: 15889.8 ms [2020-11-10 05:05:08 main:574] : INFO : Epoch 143 | loss: 0.000181 | val_loss: 0.000179258 | Time: 15854.6 ms [2020-11-10 05:05:24 main:574] : INFO : Epoch 144 | loss: 0.000175033 | val_loss: 0.000174424 | Time: 15804 ms [2020-11-10 05:05:40 main:574] : INFO : Epoch 145 | loss: 0.000169323 | val_loss: 0.000168898 | Time: 15755.2 ms [2020-11-10 05:05:56 main:574] : INFO : Epoch 146 | loss: 0.000163869 | val_loss: 0.000161328 | Time: 15776.3 ms [2020-11-10 05:06:12 main:574] : INFO : Epoch 147 | loss: 0.000158791 | val_loss: 0.000156033 | Time: 15829.8 ms [2020-11-10 05:06:28 main:574] : INFO : Epoch 148 | loss: 0.000154025 | val_loss: 0.000152271 | Time: 15758.1 ms [2020-11-10 05:06:44 main:574] : INFO : Epoch 149 | loss: 0.00014922 | val_loss: 0.000147428 | Time: 15872.1 ms [2020-11-10 05:06:59 main:574] : INFO : Epoch 150 | loss: 0.000144876 | val_loss: 0.000143088 | Time: 15810.3 ms [2020-11-10 05:07:15 main:574] : INFO : Epoch 151 | loss: 0.000140073 | val_loss: 0.000138957 | Time: 15899.8 ms [2020-11-10 05:07:31 main:574] : INFO : Epoch 152 | loss: 0.000136184 | val_loss: 0.000135138 | Time: 15848.4 ms [2020-11-10 05:07:47 main:574] : INFO : Epoch 153 | loss: 0.000132097 | val_loss: 0.000129933 | Time: 15794.3 ms [2020-11-10 05:08:03 main:574] : INFO : Epoch 154 | loss: 0.000128825 | val_loss: 0.000128208 | Time: 15743.8 ms [2020-11-10 05:08:19 main:574] : INFO : Epoch 155 | loss: 0.000125497 | val_loss: 0.000123997 | Time: 15854.4 ms [2020-11-10 05:08:35 main:574] : INFO : Epoch 156 | loss: 0.000121568 | val_loss: 0.000120953 | Time: 15683.9 ms [2020-11-10 05:08:50 main:574] : INFO : Epoch 157 | loss: 0.000118638 | val_loss: 0.000118289 | Time: 15886 ms [2020-11-10 05:09:07 main:574] : INFO : Epoch 158 | loss: 0.00011531 | val_loss: 0.000114761 | Time: 16004.2 ms [2020-11-10 05:09:22 main:574] : INFO : Epoch 159 | loss: 0.000112822 | val_loss: 0.000112808 | Time: 15855.4 ms [2020-11-10 05:09:38 main:574] : INFO : Epoch 160 | loss: 0.000109724 | val_loss: 0.000109201 | Time: 15829.6 ms [2020-11-10 05:09:54 main:574] : INFO : Epoch 161 | loss: 0.000107064 | val_loss: 0.000105394 | Time: 16109.6 ms [2020-11-10 05:10:10 main:574] : INFO : Epoch 162 | loss: 0.000104242 | val_loss: 0.00010328 | Time: 15777 ms [2020-11-10 05:10:26 main:574] : INFO : Epoch 163 | loss: 0.000101528 | val_loss: 0.000100909 | Time: 15692.1 ms [2020-11-10 05:10:42 main:574] : INFO : Epoch 164 | loss: 9.91168e-05 | val_loss: 9.89941e-05 | Time: 15888.1 ms [2020-11-10 05:10:58 main:574] : INFO : Epoch 165 | loss: 9.64549e-05 | val_loss: 9.57928e-05 | Time: 15905.7 ms [2020-11-10 05:11:14 main:574] : INFO : Epoch 166 | loss: 9.47512e-05 | val_loss: 9.54419e-05 | Time: 15850.5 ms [2020-11-10 05:11:30 main:574] : INFO : Epoch 167 | loss: 9.21081e-05 | val_loss: 9.21234e-05 | Time: 15865.5 ms [2020-11-10 05:11:46 main:574] : INFO : Epoch 168 | loss: 8.99192e-05 | val_loss: 9.03092e-05 | Time: 15875.4 ms [2020-11-10 05:12:02 main:574] : INFO : Epoch 169 | loss: 8.84343e-05 | val_loss: 8.85721e-05 | Time: 16038 ms [2020-11-10 05:12:18 main:574] : INFO : Epoch 170 | loss: 8.6082e-05 | val_loss: 8.67467e-05 | Time: 15809.9 ms [2020-11-10 05:12:33 main:574] : INFO : Epoch 171 | loss: 8.42544e-05 | val_loss: 8.35749e-05 | Time: 15759.1 ms [2020-11-10 05:12:49 main:574] : INFO : Epoch 172 | loss: 8.25054e-05 | val_loss: 8.22058e-05 | Time: 15850.7 ms [2020-11-10 05:13:05 main:574] : INFO : Epoch 173 | loss: 8.09913e-05 | val_loss: 8.10074e-05 | Time: 15603.3 ms [2020-11-10 05:13:21 main:574] : INFO : Epoch 174 | loss: 7.94178e-05 | val_loss: 7.91815e-05 | Time: 15624 ms [2020-11-10 05:13:36 main:574] : INFO : Epoch 175 | loss: 7.75707e-05 | val_loss: 7.8899e-05 | Time: 15706.1 ms [2020-11-10 05:13:52 main:574] : INFO : Epoch 176 | loss: 7.60868e-05 | val_loss: 7.71243e-05 | Time: 15862.8 ms [2020-11-10 05:14:08 main:574] : INFO : Epoch 177 | loss: 7.46202e-05 | val_loss: 7.42077e-05 | Time: 15853.7 ms [2020-11-10 05:14:24 main:574] : INFO : Epoch 178 | loss: 7.30688e-05 | val_loss: 7.38147e-05 | Time: 15793.6 ms [2020-11-10 05:14:40 main:574] : INFO : Epoch 179 | loss: 7.1964e-05 | val_loss: 7.17552e-05 | Time: 15693.1 ms [2020-11-10 05:14:56 main:574] : INFO : Epoch 180 | loss: 7.05235e-05 | val_loss: 6.98758e-05 | Time: 15850.3 ms [2020-11-10 05:15:12 main:574] : INFO : Epoch 181 | loss: 6.89514e-05 | val_loss: 6.90374e-05 | Time: 15850.7 ms [2020-11-10 05:15:27 main:574] : INFO : Epoch 182 | loss: 6.81251e-05 | val_loss: 6.813e-05 | Time: 15809.6 ms [2020-11-10 05:15:43 main:574] : INFO : Epoch 183 | loss: 6.6787e-05 | val_loss: 6.69029e-05 | Time: 15839.5 ms [2020-11-10 05:15:59 main:574] : INFO : Epoch 184 | loss: 6.55996e-05 | val_loss: 6.54145e-05 | Time: 15853.3 ms [2020-11-10 05:16:15 main:574] : INFO : Epoch 185 | loss: 6.47052e-05 | val_loss: 6.35569e-05 | Time: 15756.9 ms [2020-11-10 05:16:31 main:574] : INFO : Epoch 186 | loss: 6.33674e-05 | val_loss: 6.31009e-05 | Time: 15932.1 ms [2020-11-10 05:16:47 main:574] : INFO : Epoch 187 | loss: 6.21293e-05 | val_loss: 6.24724e-05 | Time: 15849.2 ms [2020-11-10 05:17:03 main:574] : INFO : Epoch 188 | loss: 6.1391e-05 | val_loss: 6.07513e-05 | Time: 15938.3 ms [2020-11-10 05:17:19 main:574] : INFO : Epoch 189 | loss: 6.05599e-05 | val_loss: 6.08521e-05 | Time: 15662.8 ms [2020-11-10 05:17:34 main:574] : INFO : Epoch 190 | loss: 5.95331e-05 | val_loss: 5.98577e-05 | Time: 15765.7 ms [2020-11-10 05:17:50 main:574] : INFO : Epoch 191 | loss: 5.85994e-05 | val_loss: 5.89025e-05 | Time: 15776.8 ms [2020-11-10 05:18:06 main:574] : INFO : Epoch 192 | loss: 5.7641e-05 | val_loss: 5.8086e-05 | Time: 15979.2 ms [2020-11-10 05:18:06 main:597] : INFO : Saving trained model to model-final.pt, val_loss 5.8086e-05 [2020-11-10 05:18:06 main:603] : INFO : Saving end state to config to file [2020-11-10 05:18:06 main:608] : INFO : Success, exiting.. 05:18:06 (10484): 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)