| Name | rand_automata_0046-1604947477-21467-0_1 |
| Workunit | 1259361 |
| Created | 9 Nov 2020, 19:00:31 UTC |
| Sent | 9 Nov 2020, 19:02:06 UTC |
| Report deadline | 10 Nov 2020, 17:32:06 UTC |
| Received | 10 Nov 2020, 8:35:49 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 596 |
| Run time | 51 min 24 sec |
| CPU time | 49 min 55 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 08:44:17 main:435] : INFO : Set logging level to 1 [2020-11-10 08:44:17 main:441] : INFO : Running in BOINC Client mode [2020-11-10 08:44:17 main:444] : INFO : Resolving all filenames [2020-11-10 08:44:17 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0046-train-val-dataset.hdf5 (exists = 1) [2020-11-10 08:44:17 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0046-1604947477-21467-0_1_r103789811_1 (exists = 0) [2020-11-10 08:44:17 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0046-1604947477-21467-0_1_r103789811_0 (exists = 0) [2020-11-10 08:44:17 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-10 08:44:17 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-10 08:44:17 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0046-train-val-dataset.hdf5 [2020-11-10 08:44:17 main:474] : INFO : Configuration: [2020-11-10 08:44:17 main:475] : INFO : Model type: LSTM [2020-11-10 08:44:17 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-10 08:44:17 main:477] : INFO : Max Epochs: 192 [2020-11-10 08:44:17 main:478] : INFO : Batch Size: 32 [2020-11-10 08:44:17 main:479] : INFO : Learning Rate: 0.001 [2020-11-10 08:44:17 main:480] : INFO : Patience: 10 [2020-11-10 08:44:17 main:481] : INFO : Hidden Width: 64 [2020-11-10 08:44:17 main:482] : INFO : # Recurrent Layers: 4 [2020-11-10 08:44:17 main:483] : INFO : # Backend Layers: 2 [2020-11-10 08:44:17 main:484] : INFO : # Threads: 1 [2020-11-10 08:44:17 main:486] : INFO : Preparing Dataset [2020-11-10 08:44:17 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0046-train-val-dataset.hdf5 into memory [2020-11-10 08:44:18 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0046-train-val-dataset.hdf5 into memory [2020-11-10 08:44:24 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-10 08:44:24 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0046-train-val-dataset.hdf5 into memory [2020-11-10 08:44:24 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0046-train-val-dataset.hdf5 into memory [2020-11-10 08:44:24 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-10 08:44:24 main:494] : INFO : Creating Model [2020-11-10 08:44:24 main:507] : INFO : Preparing config file [2020-11-10 08:44:24 main:519] : INFO : Creating new config file [2020-11-10 08:44:29 main:559] : INFO : Loading DataLoader into Memory [2020-11-10 08:44:29 main:562] : INFO : Starting Training [2020-11-10 08:44:47 main:574] : INFO : Epoch 1 | loss: 0.0659518 | val_loss: 0.0655907 | Time: 17144.2 ms [2020-11-10 08:45:03 main:574] : INFO : Epoch 2 | loss: 0.0644608 | val_loss: 0.0632305 | Time: 15960.9 ms [2020-11-10 08:45:18 main:574] : INFO : Epoch 3 | loss: 0.061921 | val_loss: 0.0604749 | Time: 15671 ms [2020-11-10 08:45:34 main:574] : INFO : Epoch 4 | loss: 0.0591276 | val_loss: 0.0579626 | Time: 15835.2 ms [2020-11-10 08:45:50 main:574] : INFO : Epoch 5 | loss: 0.0571235 | val_loss: 0.0564111 | Time: 15902.4 ms [2020-11-10 08:46:06 main:574] : INFO : Epoch 6 | loss: 0.0556652 | val_loss: 0.0551221 | Time: 15889.3 ms [2020-11-10 08:46:22 main:574] : INFO : Epoch 7 | loss: 0.0544607 | val_loss: 0.0540828 | Time: 15769.9 ms [2020-11-10 08:46:38 main:574] : INFO : Epoch 8 | loss: 0.0534131 | val_loss: 0.0530015 | Time: 15844.8 ms [2020-11-10 08:46:54 main:574] : INFO : Epoch 9 | loss: 0.0523906 | val_loss: 0.0520175 | Time: 16068.5 ms [2020-11-10 08:47:10 main:574] : INFO : Epoch 10 | loss: 0.0513969 | val_loss: 0.0509489 | Time: 15833.3 ms [2020-11-10 08:47:26 main:574] : INFO : Epoch 11 | loss: 0.0503371 | val_loss: 0.0500313 | Time: 15814.1 ms [2020-11-10 08:47:41 main:574] : INFO : Epoch 12 | loss: 0.0492097 | val_loss: 0.0489358 | Time: 15812.2 ms [2020-11-10 08:47:57 main:574] : INFO : Epoch 13 | loss: 0.0479801 | val_loss: 0.0475904 | Time: 15878.3 ms [2020-11-10 08:48:13 main:574] : INFO : Epoch 14 | loss: 0.0464678 | val_loss: 0.0462493 | Time: 15834 ms [2020-11-10 08:48:29 main:574] : INFO : Epoch 15 | loss: 0.044687 | val_loss: 0.0441005 | Time: 15675.3 ms [2020-11-10 08:48:45 main:574] : INFO : Epoch 16 | loss: 0.0425813 | val_loss: 0.0418656 | Time: 15984.7 ms [2020-11-10 08:49:01 main:574] : INFO : Epoch 17 | loss: 0.0400138 | val_loss: 0.0394521 | Time: 15970.4 ms [2020-11-10 08:49:17 main:574] : INFO : Epoch 18 | loss: 0.0370336 | val_loss: 0.0364424 | Time: 15934.7 ms [2020-11-10 08:49:33 main:574] : INFO : Epoch 19 | loss: 0.0336508 | val_loss: 0.0337194 | Time: 15738 ms [2020-11-10 08:49:49 main:574] : INFO : Epoch 20 | loss: 0.0312361 | val_loss: 0.030522 | Time: 15925 ms [2020-11-10 08:50:05 main:574] : INFO : Epoch 21 | loss: 0.0280828 | val_loss: 0.0293856 | Time: 15728.3 ms [2020-11-10 08:50:20 main:574] : INFO : Epoch 22 | loss: 0.024411 | val_loss: 0.0317157 | Time: 15852.1 ms [2020-11-10 08:50:36 main:574] : INFO : Epoch 23 | loss: 0.0234379 | val_loss: 0.0216692 | Time: 15817.2 ms [2020-11-10 08:50:52 main:574] : INFO : Epoch 24 | loss: 0.0199451 | val_loss: 0.0215622 | Time: 15812.3 ms [2020-11-10 08:51:08 main:574] : INFO : Epoch 25 | loss: 0.0255187 | val_loss: 0.0575163 | Time: 16004.9 ms [2020-11-10 08:51:24 main:574] : INFO : Epoch 26 | loss: 0.0470715 | val_loss: 0.0286581 | Time: 15903.5 ms [2020-11-10 08:51:40 main:574] : INFO : Epoch 27 | loss: 0.0272595 | val_loss: 0.0286706 | Time: 15700.2 ms [2020-11-10 08:51:56 main:574] : INFO : Epoch 28 | loss: 0.020005 | val_loss: 0.0179411 | Time: 15987.3 ms [2020-11-10 08:52:12 main:574] : INFO : Epoch 29 | loss: 0.018484 | val_loss: 0.0154446 | Time: 15888.5 ms [2020-11-10 08:52:28 main:574] : INFO : Epoch 30 | loss: 0.0125918 | val_loss: 0.0117437 | Time: 15675.9 ms [2020-11-10 08:52:43 main:574] : INFO : Epoch 31 | loss: 0.0106215 | val_loss: 0.0108606 | Time: 15900.4 ms [2020-11-10 08:52:59 main:574] : INFO : Epoch 32 | loss: 0.00978445 | val_loss: 0.00993957 | Time: 15774.5 ms [2020-11-10 08:53:15 main:574] : INFO : Epoch 33 | loss: 0.00955648 | val_loss: 0.00954212 | Time: 15919 ms [2020-11-10 08:53:31 main:574] : INFO : Epoch 34 | loss: 0.00872631 | val_loss: 0.00877722 | Time: 15766.4 ms [2020-11-10 08:53:47 main:574] : INFO : Epoch 35 | loss: 0.00856161 | val_loss: 0.00851885 | Time: 15923.5 ms [2020-11-10 08:54:03 main:574] : INFO : Epoch 36 | loss: 0.010425 | val_loss: 0.0267489 | Time: 15895.2 ms [2020-11-10 08:54:19 main:574] : INFO : Epoch 37 | loss: 0.0470375 | val_loss: 0.0315797 | Time: 15911.1 ms [2020-11-10 08:54:35 main:574] : INFO : Epoch 38 | loss: 0.017242 | val_loss: 0.0101022 | Time: 16100.8 ms [2020-11-10 08:54:51 main:574] : INFO : Epoch 39 | loss: 0.0332791 | val_loss: 0.0569851 | Time: 15968.4 ms [2020-11-10 08:55:07 main:574] : INFO : Epoch 40 | loss: 0.0514867 | val_loss: 0.0422416 | Time: 15850.3 ms [2020-11-10 08:55:23 main:574] : INFO : Epoch 41 | loss: 0.0243335 | val_loss: 0.0132365 | Time: 15993.7 ms [2020-11-10 08:55:39 main:574] : INFO : Epoch 42 | loss: 0.0111867 | val_loss: 0.0100811 | Time: 15843.6 ms [2020-11-10 08:55:55 main:574] : INFO : Epoch 43 | loss: 0.0151341 | val_loss: 0.014717 | Time: 15819.9 ms [2020-11-10 08:56:11 main:574] : INFO : Epoch 44 | loss: 0.00996688 | val_loss: 0.00881071 | Time: 15826.2 ms [2020-11-10 08:56:26 main:574] : INFO : Epoch 45 | loss: 0.00824957 | val_loss: 0.00812952 | Time: 15833.7 ms [2020-11-10 08:56:42 main:574] : INFO : Epoch 46 | loss: 0.00776759 | val_loss: 0.00774546 | Time: 15798.8 ms [2020-11-10 08:56:58 main:574] : INFO : Epoch 47 | loss: 0.00740797 | val_loss: 0.00737404 | Time: 15888.3 ms [2020-11-10 08:57:14 main:574] : INFO : Epoch 48 | loss: 0.00714294 | val_loss: 0.00712272 | Time: 15982.1 ms [2020-11-10 08:57:30 main:574] : INFO : Epoch 49 | loss: 0.00691472 | val_loss: 0.0068867 | Time: 16024 ms [2020-11-10 08:57:46 main:574] : INFO : Epoch 50 | loss: 0.00670884 | val_loss: 0.00667695 | Time: 15870.6 ms [2020-11-10 08:58:02 main:574] : INFO : Epoch 51 | loss: 0.00651914 | val_loss: 0.00648111 | Time: 16026.4 ms [2020-11-10 08:58:18 main:574] : INFO : Epoch 52 | loss: 0.00634075 | val_loss: 0.00629727 | Time: 15998.1 ms [2020-11-10 08:58:34 main:574] : INFO : Epoch 53 | loss: 0.00617056 | val_loss: 0.00613514 | Time: 15951.9 ms [2020-11-10 08:58:50 main:574] : INFO : Epoch 54 | loss: 0.00600777 | val_loss: 0.00596075 | Time: 15855.2 ms [2020-11-10 08:59:06 main:574] : INFO : Epoch 55 | loss: 0.00584953 | val_loss: 0.00580473 | Time: 15807.6 ms [2020-11-10 08:59:22 main:574] : INFO : Epoch 56 | loss: 0.0056956 | val_loss: 0.00564865 | Time: 15926.2 ms [2020-11-10 08:59:38 main:574] : INFO : Epoch 57 | loss: 0.00554596 | val_loss: 0.00549427 | Time: 15913.2 ms [2020-11-10 08:59:54 main:574] : INFO : Epoch 58 | loss: 0.00540043 | val_loss: 0.00535144 | Time: 15916.2 ms [2020-11-10 09:00:10 main:574] : INFO : Epoch 59 | loss: 0.00525525 | val_loss: 0.00520603 | Time: 15774 ms [2020-11-10 09:00:26 main:574] : INFO : Epoch 60 | loss: 0.00511106 | val_loss: 0.0050687 | Time: 15745.2 ms [2020-11-10 09:00:41 main:574] : INFO : Epoch 61 | loss: 0.00497155 | val_loss: 0.00492622 | Time: 15835.1 ms [2020-11-10 09:00:57 main:574] : INFO : Epoch 62 | loss: 0.00483421 | val_loss: 0.00479319 | Time: 16018.7 ms [2020-11-10 09:01:14 main:574] : INFO : Epoch 63 | loss: 0.00469884 | val_loss: 0.00464499 | Time: 16022.6 ms [2020-11-10 09:01:30 main:574] : INFO : Epoch 64 | loss: 0.00456091 | val_loss: 0.00456457 | Time: 15943.4 ms [2020-11-10 09:01:46 main:574] : INFO : Epoch 65 | loss: 0.00443887 | val_loss: 0.00437508 | Time: 15966.4 ms [2020-11-10 09:02:02 main:574] : INFO : Epoch 66 | loss: 0.00429431 | val_loss: 0.0042451 | Time: 16025.7 ms [2020-11-10 09:02:18 main:574] : INFO : Epoch 67 | loss: 0.00416299 | val_loss: 0.00411141 | Time: 16023.4 ms [2020-11-10 09:02:33 main:574] : INFO : Epoch 68 | loss: 0.00403379 | val_loss: 0.00397914 | Time: 15765.9 ms [2020-11-10 09:02:50 main:574] : INFO : Epoch 69 | loss: 0.00390519 | val_loss: 0.00385415 | Time: 16042.9 ms [2020-11-10 09:03:05 main:574] : INFO : Epoch 70 | loss: 0.00377929 | val_loss: 0.00372765 | Time: 15855.4 ms [2020-11-10 09:03:21 main:574] : INFO : Epoch 71 | loss: 0.00365472 | val_loss: 0.00359783 | Time: 15886.3 ms [2020-11-10 09:03:37 main:574] : INFO : Epoch 72 | loss: 0.00353136 | val_loss: 0.00347454 | Time: 15955.3 ms [2020-11-10 09:03:53 main:574] : INFO : Epoch 73 | loss: 0.00341108 | val_loss: 0.00334825 | Time: 15695.6 ms [2020-11-10 09:04:09 main:574] : INFO : Epoch 74 | loss: 0.00329268 | val_loss: 0.00322935 | Time: 15825.2 ms [2020-11-10 09:04:25 main:574] : INFO : Epoch 75 | loss: 0.00317629 | val_loss: 0.00312055 | Time: 15919.9 ms [2020-11-10 09:04:41 main:574] : INFO : Epoch 76 | loss: 0.00306262 | val_loss: 0.00300209 | Time: 15788.6 ms [2020-11-10 09:04:57 main:574] : INFO : Epoch 77 | loss: 0.00294975 | val_loss: 0.00289111 | Time: 15885.2 ms [2020-11-10 09:05:13 main:574] : INFO : Epoch 78 | loss: 0.00284018 | val_loss: 0.00277944 | Time: 16010.4 ms [2020-11-10 09:05:29 main:574] : INFO : Epoch 79 | loss: 0.00273339 | val_loss: 0.00267669 | Time: 15990.7 ms [2020-11-10 09:05:45 main:574] : INFO : Epoch 80 | loss: 0.00262883 | val_loss: 0.0025707 | Time: 16035.3 ms [2020-11-10 09:06:01 main:574] : INFO : Epoch 81 | loss: 0.00252811 | val_loss: 0.00247467 | Time: 15956.3 ms [2020-11-10 09:06:17 main:574] : INFO : Epoch 82 | loss: 0.00242814 | val_loss: 0.00237479 | Time: 16020.7 ms [2020-11-10 09:06:33 main:574] : INFO : Epoch 83 | loss: 0.00233222 | val_loss: 0.00228045 | Time: 15869.1 ms [2020-11-10 09:06:49 main:574] : INFO : Epoch 84 | loss: 0.00223794 | val_loss: 0.00218985 | Time: 15968.3 ms [2020-11-10 09:07:05 main:574] : INFO : Epoch 85 | loss: 0.00214757 | val_loss: 0.00209772 | Time: 15720.5 ms [2020-11-10 09:07:20 main:574] : INFO : Epoch 86 | loss: 0.00205944 | val_loss: 0.00201309 | Time: 15856.1 ms [2020-11-10 09:07:37 main:574] : INFO : Epoch 87 | loss: 0.0019739 | val_loss: 0.00192833 | Time: 16038.1 ms [2020-11-10 09:07:52 main:574] : INFO : Epoch 88 | loss: 0.00189259 | val_loss: 0.00185019 | Time: 15842.7 ms [2020-11-10 09:08:08 main:574] : INFO : Epoch 89 | loss: 0.00181281 | val_loss: 0.00177252 | Time: 15967.7 ms [2020-11-10 09:08:24 main:574] : INFO : Epoch 90 | loss: 0.00173683 | val_loss: 0.00169948 | Time: 15691.3 ms [2020-11-10 09:08:40 main:574] : INFO : Epoch 91 | loss: 0.0016636 | val_loss: 0.00162778 | Time: 16015.8 ms [2020-11-10 09:08:56 main:574] : INFO : Epoch 92 | loss: 0.00159277 | val_loss: 0.00155804 | Time: 15809.6 ms [2020-11-10 09:09:12 main:574] : INFO : Epoch 93 | loss: 0.00152582 | val_loss: 0.00149289 | Time: 16110.2 ms [2020-11-10 09:09:28 main:574] : INFO : Epoch 94 | loss: 0.00145995 | val_loss: 0.00143083 | Time: 15886.4 ms [2020-11-10 09:09:44 main:574] : INFO : Epoch 95 | loss: 0.0013987 | val_loss: 0.00137093 | Time: 15794.1 ms [2020-11-10 09:10:00 main:574] : INFO : Epoch 96 | loss: 0.001339 | val_loss: 0.00131166 | Time: 15932.4 ms [2020-11-10 09:10:16 main:574] : INFO : Epoch 97 | loss: 0.00128162 | val_loss: 0.00125558 | Time: 15939.8 ms [2020-11-10 09:10:32 main:574] : INFO : Epoch 98 | loss: 0.00122702 | val_loss: 0.00120478 | Time: 15850.4 ms [2020-11-10 09:10:48 main:574] : INFO : Epoch 99 | loss: 0.00117436 | val_loss: 0.00115115 | Time: 15829.7 ms [2020-11-10 09:11:04 main:574] : INFO : Epoch 100 | loss: 0.00112378 | val_loss: 0.0011039 | Time: 15776.7 ms [2020-11-10 09:11:20 main:574] : INFO : Epoch 101 | loss: 0.00107641 | val_loss: 0.0010558 | Time: 15940.8 ms [2020-11-10 09:11:36 main:574] : INFO : Epoch 102 | loss: 0.00103009 | val_loss: 0.00101185 | Time: 15978.1 ms [2020-11-10 09:11:51 main:574] : INFO : Epoch 103 | loss: 0.000986585 | val_loss: 0.000968887 | Time: 15802.7 ms [2020-11-10 09:12:07 main:574] : INFO : Epoch 104 | loss: 0.000944182 | val_loss: 0.000926316 | Time: 15941.3 ms [2020-11-10 09:12:23 main:574] : INFO : Epoch 105 | loss: 0.000904389 | val_loss: 0.000888287 | Time: 15721.4 ms [2020-11-10 09:12:39 main:574] : INFO : Epoch 106 | loss: 0.000866206 | val_loss: 0.000851996 | Time: 15594.9 ms [2020-11-10 09:12:55 main:574] : INFO : Epoch 107 | loss: 0.000830095 | val_loss: 0.00081485 | Time: 15795.6 ms [2020-11-10 09:13:11 main:574] : INFO : Epoch 108 | loss: 0.000795767 | val_loss: 0.000782919 | Time: 15870.4 ms [2020-11-10 09:13:26 main:574] : INFO : Epoch 109 | loss: 0.000762094 | val_loss: 0.000749894 | Time: 15893.8 ms [2020-11-10 09:13:42 main:574] : INFO : Epoch 110 | loss: 0.000730696 | val_loss: 0.000719512 | Time: 15934.1 ms [2020-11-10 09:13:58 main:574] : INFO : Epoch 111 | loss: 0.000700242 | val_loss: 0.000687363 | Time: 15991.3 ms [2020-11-10 09:14:15 main:574] : INFO : Epoch 112 | loss: 0.000671009 | val_loss: 0.00066347 | Time: 15954.5 ms [2020-11-10 09:14:30 main:574] : INFO : Epoch 113 | loss: 0.000643996 | val_loss: 0.000634351 | Time: 15932.5 ms [2020-11-10 09:14:46 main:574] : INFO : Epoch 114 | loss: 0.000617837 | val_loss: 0.00060965 | Time: 15860.7 ms [2020-11-10 09:15:03 main:574] : INFO : Epoch 115 | loss: 0.000593038 | val_loss: 0.000587127 | Time: 16114.6 ms [2020-11-10 09:15:19 main:574] : INFO : Epoch 116 | loss: 0.000569373 | val_loss: 0.00056072 | Time: 15924.3 ms [2020-11-10 09:15:35 main:574] : INFO : Epoch 117 | loss: 0.000546839 | val_loss: 0.000542839 | Time: 16033.3 ms [2020-11-10 09:15:50 main:574] : INFO : Epoch 118 | loss: 0.000525334 | val_loss: 0.000520259 | Time: 15774.3 ms [2020-11-10 09:16:06 main:574] : INFO : Epoch 119 | loss: 0.000505047 | val_loss: 0.000501131 | Time: 15708.4 ms [2020-11-10 09:16:22 main:574] : INFO : Epoch 120 | loss: 0.000485207 | val_loss: 0.000481249 | Time: 15845.4 ms [2020-11-10 09:16:38 main:574] : INFO : Epoch 121 | loss: 0.00046716 | val_loss: 0.000463037 | Time: 15559.6 ms [2020-11-10 09:16:54 main:574] : INFO : Epoch 122 | loss: 0.000449143 | val_loss: 0.000446584 | Time: 15817.3 ms [2020-11-10 09:17:09 main:574] : INFO : Epoch 123 | loss: 0.00043098 | val_loss: 0.000427984 | Time: 15867.1 ms [2020-11-10 09:17:25 main:574] : INFO : Epoch 124 | loss: 0.000414379 | val_loss: 0.000411649 | Time: 15964.3 ms [2020-11-10 09:17:42 main:574] : INFO : Epoch 125 | loss: 0.000399454 | val_loss: 0.000397966 | Time: 16013.3 ms [2020-11-10 09:17:58 main:574] : INFO : Epoch 126 | loss: 0.00038418 | val_loss: 0.00038228 | Time: 15986.5 ms [2020-11-10 09:18:14 main:574] : INFO : Epoch 127 | loss: 0.000369843 | val_loss: 0.000368272 | Time: 16064.3 ms [2020-11-10 09:18:30 main:574] : INFO : Epoch 128 | loss: 0.000356952 | val_loss: 0.000353621 | Time: 16038 ms [2020-11-10 09:18:46 main:574] : INFO : Epoch 129 | loss: 0.000343912 | val_loss: 0.000344123 | Time: 15763.6 ms [2020-11-10 09:19:01 main:574] : INFO : Epoch 130 | loss: 0.000331153 | val_loss: 0.000330958 | Time: 15924.6 ms [2020-11-10 09:19:17 main:574] : INFO : Epoch 131 | loss: 0.000319302 | val_loss: 0.000320412 | Time: 15802.6 ms [2020-11-10 09:19:33 main:574] : INFO : Epoch 132 | loss: 0.000308175 | val_loss: 0.000307819 | Time: 15960.4 ms [2020-11-10 09:19:49 main:574] : INFO : Epoch 133 | loss: 0.000297736 | val_loss: 0.000299291 | Time: 16127.1 ms [2020-11-10 09:20:05 main:574] : INFO : Epoch 134 | loss: 0.00028724 | val_loss: 0.000288862 | Time: 15838.1 ms [2020-11-10 09:20:21 main:574] : INFO : Epoch 135 | loss: 0.000277499 | val_loss: 0.000276998 | Time: 16032.2 ms [2020-11-10 09:20:37 main:574] : INFO : Epoch 136 | loss: 0.000268415 | val_loss: 0.000269656 | Time: 15775.3 ms [2020-11-10 09:20:53 main:574] : INFO : Epoch 137 | loss: 0.000259145 | val_loss: 0.000260076 | Time: 15746.9 ms [2020-11-10 09:21:09 main:574] : INFO : Epoch 138 | loss: 0.000251285 | val_loss: 0.000251163 | Time: 16036.4 ms [2020-11-10 09:21:25 main:574] : INFO : Epoch 139 | loss: 0.000243599 | val_loss: 0.000244828 | Time: 15892 ms [2020-11-10 09:21:41 main:574] : INFO : Epoch 140 | loss: 0.000235513 | val_loss: 0.000236705 | Time: 15982.5 ms [2020-11-10 09:21:57 main:574] : INFO : Epoch 141 | loss: 0.000227906 | val_loss: 0.000230453 | Time: 15883.1 ms [2020-11-10 09:22:13 main:574] : INFO : Epoch 142 | loss: 0.000221457 | val_loss: 0.000223909 | Time: 15854.9 ms [2020-11-10 09:22:29 main:574] : INFO : Epoch 143 | loss: 0.0002148 | val_loss: 0.000214849 | Time: 15995.2 ms [2020-11-10 09:22:45 main:574] : INFO : Epoch 144 | loss: 0.000207851 | val_loss: 0.000211768 | Time: 15774 ms [2020-11-10 09:23:01 main:574] : INFO : Epoch 145 | loss: 0.000201977 | val_loss: 0.000203831 | Time: 15861.9 ms [2020-11-10 09:23:16 main:574] : INFO : Epoch 146 | loss: 0.000196156 | val_loss: 0.000197168 | Time: 15750.6 ms [2020-11-10 09:23:32 main:574] : INFO : Epoch 147 | loss: 0.000190305 | val_loss: 0.000190758 | Time: 15900.1 ms [2020-11-10 09:23:48 main:574] : INFO : Epoch 148 | loss: 0.000185667 | val_loss: 0.000186791 | Time: 16039.8 ms [2020-11-10 09:24:04 main:574] : INFO : Epoch 149 | loss: 0.000180326 | val_loss: 0.000182043 | Time: 15769.6 ms [2020-11-10 09:24:20 main:574] : INFO : Epoch 150 | loss: 0.000175438 | val_loss: 0.000177013 | Time: 15896.6 ms [2020-11-10 09:24:36 main:574] : INFO : Epoch 151 | loss: 0.00017066 | val_loss: 0.00017123 | Time: 15878.7 ms [2020-11-10 09:24:52 main:574] : INFO : Epoch 152 | loss: 0.000166192 | val_loss: 0.000171473 | Time: 15820.1 ms [2020-11-10 09:25:08 main:574] : INFO : Epoch 153 | loss: 0.000162304 | val_loss: 0.000168722 | Time: 15763.1 ms [2020-11-10 09:25:24 main:574] : INFO : Epoch 154 | loss: 0.000158237 | val_loss: 0.000158371 | Time: 15902 ms [2020-11-10 09:25:40 main:574] : INFO : Epoch 155 | loss: 0.000154408 | val_loss: 0.000155346 | Time: 15973 ms [2020-11-10 09:25:56 main:574] : INFO : Epoch 156 | loss: 0.000151458 | val_loss: 0.000152244 | Time: 15914.1 ms [2020-11-10 09:26:12 main:574] : INFO : Epoch 157 | loss: 0.000147223 | val_loss: 0.000148276 | Time: 15933.9 ms [2020-11-10 09:26:28 main:574] : INFO : Epoch 158 | loss: 0.000143307 | val_loss: 0.000143633 | Time: 15955.4 ms [2020-11-10 09:26:44 main:574] : INFO : Epoch 159 | loss: 0.000139595 | val_loss: 0.00014172 | Time: 15879.1 ms [2020-11-10 09:26:59 main:574] : INFO : Epoch 160 | loss: 0.000136548 | val_loss: 0.000137632 | Time: 15753.7 ms [2020-11-10 09:27:15 main:574] : INFO : Epoch 161 | loss: 0.000135711 | val_loss: 0.000135642 | Time: 15968.7 ms [2020-11-10 09:27:31 main:574] : INFO : Epoch 162 | loss: 0.00013026 | val_loss: 0.000132329 | Time: 15822.3 ms [2020-11-10 09:27:47 main:574] : INFO : Epoch 163 | loss: 0.000128888 | val_loss: 0.00012938 | Time: 15965.7 ms [2020-11-10 09:28:03 main:574] : INFO : Epoch 164 | loss: 0.000125407 | val_loss: 0.000130277 | Time: 15903.1 ms [2020-11-10 09:28:19 main:574] : INFO : Epoch 165 | loss: 0.000122951 | val_loss: 0.000124558 | Time: 15863.5 ms [2020-11-10 09:28:35 main:574] : INFO : Epoch 166 | loss: 0.000119478 | val_loss: 0.000122735 | Time: 15790.7 ms [2020-11-10 09:28:51 main:574] : INFO : Epoch 167 | loss: 0.000118852 | val_loss: 0.000125467 | Time: 15748.4 ms [2020-11-10 09:29:07 main:574] : INFO : Epoch 168 | loss: 0.000117333 | val_loss: 0.00011677 | Time: 15742.4 ms [2020-11-10 09:29:22 main:574] : INFO : Epoch 169 | loss: 0.000115013 | val_loss: 0.000115863 | Time: 15874.4 ms [2020-11-10 09:29:39 main:574] : INFO : Epoch 170 | loss: 0.00011065 | val_loss: 0.000111974 | Time: 16055.1 ms [2020-11-10 09:29:54 main:574] : INFO : Epoch 171 | loss: 0.0001083 | val_loss: 0.00011052 | Time: 15888.5 ms [2020-11-10 09:30:11 main:574] : INFO : Epoch 172 | loss: 0.000106951 | val_loss: 0.000108226 | Time: 16017.9 ms [2020-11-10 09:30:27 main:574] : INFO : Epoch 173 | loss: 0.000105978 | val_loss: 0.000106896 | Time: 15974.9 ms [2020-11-10 09:30:43 main:574] : INFO : Epoch 174 | loss: 0.000102955 | val_loss: 0.000104532 | Time: 15946.5 ms [2020-11-10 09:30:58 main:574] : INFO : Epoch 175 | loss: 0.000102302 | val_loss: 0.000103272 | Time: 15663.5 ms [2020-11-10 09:31:14 main:574] : INFO : Epoch 176 | loss: 9.98543e-05 | val_loss: 0.000101439 | Time: 15885.4 ms [2020-11-10 09:31:30 main:574] : INFO : Epoch 177 | loss: 9.79071e-05 | val_loss: 9.85366e-05 | Time: 15925.5 ms [2020-11-10 09:31:46 main:574] : INFO : Epoch 178 | loss: 9.67636e-05 | val_loss: 0.000112999 | Time: 15881.6 ms [2020-11-10 09:32:02 main:574] : INFO : Epoch 179 | loss: 9.57286e-05 | val_loss: 9.70293e-05 | Time: 16067.1 ms [2020-11-10 09:32:18 main:574] : INFO : Epoch 180 | loss: 9.27597e-05 | val_loss: 9.38764e-05 | Time: 15683.7 ms [2020-11-10 09:32:34 main:574] : INFO : Epoch 181 | loss: 9.1234e-05 | val_loss: 9.49344e-05 | Time: 15878.6 ms [2020-11-10 09:32:50 main:574] : INFO : Epoch 182 | loss: 9.11718e-05 | val_loss: 9.26043e-05 | Time: 15697.7 ms [2020-11-10 09:33:05 main:574] : INFO : Epoch 183 | loss: 8.9495e-05 | val_loss: 9.07067e-05 | Time: 15871.8 ms [2020-11-10 09:33:21 main:574] : INFO : Epoch 184 | loss: 8.68964e-05 | val_loss: 8.8555e-05 | Time: 15813.8 ms [2020-11-10 09:33:37 main:574] : INFO : Epoch 185 | loss: 8.56298e-05 | val_loss: 8.74156e-05 | Time: 15931.1 ms [2020-11-10 09:33:53 main:574] : INFO : Epoch 186 | loss: 8.46373e-05 | val_loss: 8.7619e-05 | Time: 15998.9 ms [2020-11-10 09:34:09 main:574] : INFO : Epoch 187 | loss: 8.54321e-05 | val_loss: 8.60582e-05 | Time: 16019.1 ms [2020-11-10 09:34:26 main:574] : INFO : Epoch 188 | loss: 8.4647e-05 | val_loss: 8.33544e-05 | Time: 16047.7 ms [2020-11-10 09:34:42 main:574] : INFO : Epoch 189 | loss: 8.09858e-05 | val_loss: 8.31567e-05 | Time: 15944.1 ms [2020-11-10 09:34:57 main:574] : INFO : Epoch 190 | loss: 7.94286e-05 | val_loss: 8.19388e-05 | Time: 15830.3 ms [2020-11-10 09:35:13 main:574] : INFO : Epoch 191 | loss: 7.879e-05 | val_loss: 8.04842e-05 | Time: 15910.9 ms [2020-11-10 09:35:29 main:574] : INFO : Epoch 192 | loss: 7.83417e-05 | val_loss: 7.97495e-05 | Time: 16082.5 ms [2020-11-10 09:35:29 main:597] : INFO : Saving trained model to model-final.pt, val_loss 7.97495e-05 [2020-11-10 09:35:30 main:603] : INFO : Saving end state to config to file [2020-11-10 09:35:30 main:608] : INFO : Success, exiting.. 09:35:30 (5656): 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)