Task 2795829
| Name | rand_automata_0040-1604947473-21295-0_1 |
| Workunit | 1259353 |
| Created | 9 Nov 2020, 19:00:31 UTC |
| Sent | 9 Nov 2020, 19:01:28 UTC |
| Report deadline | 10 Nov 2020, 17:31:28 UTC |
| Received | 10 Nov 2020, 2:35:46 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 596 |
| Run time | 51 min 15 sec |
| CPU time | 49 min 47 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 | 1.98 GB |
| Peak swap size | 3.93 GB |
| Peak disk usage | 1.54 GB |
Stderr output
<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 02:44:22 main:435] : INFO : Set logging level to 1 [2020-11-10 02:44:22 main:441] : INFO : Running in BOINC Client mode [2020-11-10 02:44:22 main:444] : INFO : Resolving all filenames [2020-11-10 02:44:22 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0040-train-val-dataset.hdf5 (exists = 1) [2020-11-10 02:44:22 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0040-1604947473-21295-0_1_r1533024581_1 (exists = 0) [2020-11-10 02:44:22 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0040-1604947473-21295-0_1_r1533024581_0 (exists = 0) [2020-11-10 02:44:22 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-10 02:44:22 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-10 02:44:22 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0040-train-val-dataset.hdf5 [2020-11-10 02:44:22 main:474] : INFO : Configuration: [2020-11-10 02:44:22 main:475] : INFO : Model type: LSTM [2020-11-10 02:44:22 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-10 02:44:22 main:477] : INFO : Max Epochs: 192 [2020-11-10 02:44:22 main:478] : INFO : Batch Size: 32 [2020-11-10 02:44:22 main:479] : INFO : Learning Rate: 0.001 [2020-11-10 02:44:22 main:480] : INFO : Patience: 10 [2020-11-10 02:44:22 main:481] : INFO : Hidden Width: 64 [2020-11-10 02:44:22 main:482] : INFO : # Recurrent Layers: 4 [2020-11-10 02:44:22 main:483] : INFO : # Backend Layers: 2 [2020-11-10 02:44:22 main:484] : INFO : # Threads: 1 [2020-11-10 02:44:22 main:486] : INFO : Preparing Dataset [2020-11-10 02:44:22 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0040-train-val-dataset.hdf5 into memory [2020-11-10 02:44:22 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0040-train-val-dataset.hdf5 into memory [2020-11-10 02:44:29 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-10 02:44:29 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0040-train-val-dataset.hdf5 into memory [2020-11-10 02:44:29 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0040-train-val-dataset.hdf5 into memory [2020-11-10 02:44:29 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-10 02:44:29 main:494] : INFO : Creating Model [2020-11-10 02:44:29 main:507] : INFO : Preparing config file [2020-11-10 02:44:29 main:519] : INFO : Creating new config file [2020-11-10 02:44:34 main:559] : INFO : Loading DataLoader into Memory [2020-11-10 02:44:34 main:562] : INFO : Starting Training [2020-11-10 02:44:51 main:574] : INFO : Epoch 1 | loss: 0.0662093 | val_loss: 0.0657804 | Time: 17177.6 ms [2020-11-10 02:45:07 main:574] : INFO : Epoch 2 | loss: 0.0653435 | val_loss: 0.0646115 | Time: 15853.7 ms [2020-11-10 02:45:23 main:574] : INFO : Epoch 3 | loss: 0.0636901 | val_loss: 0.0622281 | Time: 15843.8 ms [2020-11-10 02:45:39 main:574] : INFO : Epoch 4 | loss: 0.0605067 | val_loss: 0.0591404 | Time: 15870.2 ms [2020-11-10 02:45:55 main:574] : INFO : Epoch 5 | loss: 0.0580847 | val_loss: 0.0573394 | Time: 15766 ms [2020-11-10 02:46:11 main:574] : INFO : Epoch 6 | loss: 0.0566051 | val_loss: 0.0562017 | Time: 15849.8 ms [2020-11-10 02:46:27 main:574] : INFO : Epoch 7 | loss: 0.0554511 | val_loss: 0.0550987 | Time: 15882.4 ms [2020-11-10 02:46:43 main:574] : INFO : Epoch 8 | loss: 0.0544112 | val_loss: 0.0541035 | Time: 15835.9 ms [2020-11-10 02:46:58 main:574] : INFO : Epoch 9 | loss: 0.0533521 | val_loss: 0.0531755 | Time: 15780.5 ms [2020-11-10 02:47:14 main:574] : INFO : Epoch 10 | loss: 0.0523443 | val_loss: 0.0521769 | Time: 15632.1 ms [2020-11-10 02:47:30 main:574] : INFO : Epoch 11 | loss: 0.0512819 | val_loss: 0.0511833 | Time: 15812.7 ms [2020-11-10 02:47:46 main:574] : INFO : Epoch 12 | loss: 0.0502226 | val_loss: 0.0501862 | Time: 15649.2 ms [2020-11-10 02:48:01 main:574] : INFO : Epoch 13 | loss: 0.0490432 | val_loss: 0.0488861 | Time: 15751.9 ms [2020-11-10 02:48:17 main:574] : INFO : Epoch 14 | loss: 0.0477346 | val_loss: 0.0477084 | Time: 15765.9 ms [2020-11-10 02:48:33 main:574] : INFO : Epoch 15 | loss: 0.0462979 | val_loss: 0.0459237 | Time: 15841.9 ms [2020-11-10 02:48:49 main:574] : INFO : Epoch 16 | loss: 0.0444759 | val_loss: 0.0443679 | Time: 15976.7 ms [2020-11-10 02:49:05 main:574] : INFO : Epoch 17 | loss: 0.0424331 | val_loss: 0.0428985 | Time: 15846.1 ms [2020-11-10 02:49:21 main:574] : INFO : Epoch 18 | loss: 0.0401872 | val_loss: 0.0404388 | Time: 15855.3 ms [2020-11-10 02:49:37 main:574] : INFO : Epoch 19 | loss: 0.0372769 | val_loss: 0.0367053 | Time: 15853.1 ms [2020-11-10 02:49:53 main:574] : INFO : Epoch 20 | loss: 0.0346413 | val_loss: 0.0351734 | Time: 15976 ms [2020-11-10 02:50:09 main:574] : INFO : Epoch 21 | loss: 0.0313676 | val_loss: 0.030406 | Time: 15785.3 ms [2020-11-10 02:50:24 main:574] : INFO : Epoch 22 | loss: 0.028975 | val_loss: 0.0269095 | Time: 15678 ms [2020-11-10 02:50:40 main:574] : INFO : Epoch 23 | loss: 0.027471 | val_loss: 0.0261203 | Time: 15951.3 ms [2020-11-10 02:50:56 main:574] : INFO : Epoch 24 | loss: 0.0294894 | val_loss: 0.0249704 | Time: 15860.2 ms [2020-11-10 02:51:12 main:574] : INFO : Epoch 25 | loss: 0.0280773 | val_loss: 0.0325394 | Time: 15975.5 ms [2020-11-10 02:51:28 main:574] : INFO : Epoch 26 | loss: 0.0214826 | val_loss: 0.0203714 | Time: 15780.5 ms [2020-11-10 02:51:44 main:574] : INFO : Epoch 27 | loss: 0.0341789 | val_loss: 0.057667 | Time: 15824.3 ms [2020-11-10 02:52:00 main:574] : INFO : Epoch 28 | loss: 0.05329 | val_loss: 0.0484916 | Time: 15709.8 ms [2020-11-10 02:52:16 main:574] : INFO : Epoch 29 | loss: 0.0381512 | val_loss: 0.0273789 | Time: 15733.6 ms [2020-11-10 02:52:31 main:574] : INFO : Epoch 30 | loss: 0.0237735 | val_loss: 0.020568 | Time: 15663.9 ms [2020-11-10 02:52:47 main:574] : INFO : Epoch 31 | loss: 0.0288493 | val_loss: 0.0165617 | Time: 15830.1 ms [2020-11-10 02:53:03 main:574] : INFO : Epoch 32 | loss: 0.0156933 | val_loss: 0.0131148 | Time: 15836 ms [2020-11-10 02:53:19 main:574] : INFO : Epoch 33 | loss: 0.0131246 | val_loss: 0.013593 | Time: 15875.2 ms [2020-11-10 02:53:35 main:574] : INFO : Epoch 34 | loss: 0.0281774 | val_loss: 0.0526793 | Time: 15872.2 ms [2020-11-10 02:53:51 main:574] : INFO : Epoch 35 | loss: 0.0306907 | val_loss: 0.0138253 | Time: 15887.9 ms [2020-11-10 02:54:07 main:574] : INFO : Epoch 36 | loss: 0.0123182 | val_loss: 0.0131649 | Time: 15902.7 ms [2020-11-10 02:54:23 main:574] : INFO : Epoch 37 | loss: 0.0185649 | val_loss: 0.0145581 | Time: 15997.2 ms [2020-11-10 02:54:38 main:574] : INFO : Epoch 38 | loss: 0.0106308 | val_loss: 0.00991225 | Time: 15646.3 ms [2020-11-10 02:54:54 main:574] : INFO : Epoch 39 | loss: 0.0156049 | val_loss: 0.0208881 | Time: 15934.8 ms [2020-11-10 02:55:10 main:574] : INFO : Epoch 40 | loss: 0.0256207 | val_loss: 0.0622035 | Time: 15948.9 ms [2020-11-10 02:55:26 main:574] : INFO : Epoch 41 | loss: 0.0600529 | val_loss: 0.0588412 | Time: 15794.9 ms [2020-11-10 02:55:42 main:574] : INFO : Epoch 42 | loss: 0.0563265 | val_loss: 0.0533317 | Time: 15854.1 ms [2020-11-10 02:55:58 main:574] : INFO : Epoch 43 | loss: 0.0460876 | val_loss: 0.0353372 | Time: 15708.7 ms [2020-11-10 02:56:14 main:574] : INFO : Epoch 44 | loss: 0.0211175 | val_loss: 0.015564 | Time: 15747 ms [2020-11-10 02:56:29 main:574] : INFO : Epoch 45 | loss: 0.0386059 | val_loss: 0.0562902 | Time: 15664.3 ms [2020-11-10 02:56:45 main:574] : INFO : Epoch 46 | loss: 0.0533789 | val_loss: 0.0506569 | Time: 15747.7 ms [2020-11-10 02:57:01 main:574] : INFO : Epoch 47 | loss: 0.0446186 | val_loss: 0.0402478 | Time: 15661.1 ms [2020-11-10 02:57:17 main:574] : INFO : Epoch 48 | loss: 0.0276893 | val_loss: 0.0239344 | Time: 15853.4 ms [2020-11-10 02:57:33 main:574] : INFO : Epoch 49 | loss: 0.0505367 | val_loss: 0.0533807 | Time: 15829.5 ms [2020-11-10 02:57:48 main:574] : INFO : Epoch 50 | loss: 0.0431683 | val_loss: 0.0288628 | Time: 15702.4 ms [2020-11-10 02:58:04 main:574] : INFO : Epoch 51 | loss: 0.0316045 | val_loss: 0.0421321 | Time: 15874.2 ms [2020-11-10 02:58:20 main:574] : INFO : Epoch 52 | loss: 0.0247887 | val_loss: 0.0173578 | Time: 15805.3 ms [2020-11-10 02:58:36 main:574] : INFO : Epoch 53 | loss: 0.0130125 | val_loss: 0.0121645 | Time: 15866.8 ms [2020-11-10 02:58:52 main:574] : INFO : Epoch 54 | loss: 0.0112331 | val_loss: 0.011271 | Time: 15901.7 ms [2020-11-10 02:59:08 main:574] : INFO : Epoch 55 | loss: 0.00996061 | val_loss: 0.00969434 | Time: 15999.9 ms [2020-11-10 02:59:24 main:574] : INFO : Epoch 56 | loss: 0.00906111 | val_loss: 0.0090295 | Time: 15880 ms [2020-11-10 02:59:40 main:574] : INFO : Epoch 57 | loss: 0.00900695 | val_loss: 0.00868011 | Time: 15942.8 ms [2020-11-10 02:59:56 main:574] : INFO : Epoch 58 | loss: 0.00832875 | val_loss: 0.00827013 | Time: 15805.5 ms [2020-11-10 03:00:12 main:574] : INFO : Epoch 59 | loss: 0.00795631 | val_loss: 0.00793862 | Time: 15900.6 ms [2020-11-10 03:00:28 main:574] : INFO : Epoch 60 | loss: 0.00766478 | val_loss: 0.00765104 | Time: 15803.7 ms [2020-11-10 03:00:43 main:574] : INFO : Epoch 61 | loss: 0.0074149 | val_loss: 0.00738735 | Time: 15676.2 ms [2020-11-10 03:00:59 main:574] : INFO : Epoch 62 | loss: 0.0071909 | val_loss: 0.00717098 | Time: 15806.1 ms [2020-11-10 03:01:15 main:574] : INFO : Epoch 63 | loss: 0.00698731 | val_loss: 0.00695563 | Time: 15823 ms [2020-11-10 03:01:31 main:574] : INFO : Epoch 64 | loss: 0.00679088 | val_loss: 0.00676986 | Time: 15815.2 ms [2020-11-10 03:01:47 main:574] : INFO : Epoch 65 | loss: 0.0066039 | val_loss: 0.00658863 | Time: 15848.6 ms [2020-11-10 03:02:03 main:574] : INFO : Epoch 66 | loss: 0.0064234 | val_loss: 0.00639749 | Time: 15708 ms [2020-11-10 03:02:18 main:574] : INFO : Epoch 67 | loss: 0.00623592 | val_loss: 0.00621498 | Time: 15813.8 ms [2020-11-10 03:02:34 main:574] : INFO : Epoch 68 | loss: 0.00606528 | val_loss: 0.00605005 | Time: 15986.4 ms [2020-11-10 03:02:50 main:574] : INFO : Epoch 69 | loss: 0.00590117 | val_loss: 0.00588041 | Time: 15693.7 ms [2020-11-10 03:03:06 main:574] : INFO : Epoch 70 | loss: 0.00573852 | val_loss: 0.00570945 | Time: 15904.4 ms [2020-11-10 03:03:22 main:574] : INFO : Epoch 71 | loss: 0.00558086 | val_loss: 0.0055546 | Time: 15882.9 ms [2020-11-10 03:03:38 main:574] : INFO : Epoch 72 | loss: 0.00542129 | val_loss: 0.00540622 | Time: 15869.8 ms [2020-11-10 03:03:54 main:574] : INFO : Epoch 73 | loss: 0.00526509 | val_loss: 0.00524338 | Time: 15741.4 ms [2020-11-10 03:04:10 main:574] : INFO : Epoch 74 | loss: 0.00511059 | val_loss: 0.00508526 | Time: 15929 ms [2020-11-10 03:04:26 main:574] : INFO : Epoch 75 | loss: 0.00495838 | val_loss: 0.0049284 | Time: 15958.7 ms [2020-11-10 03:04:41 main:574] : INFO : Epoch 76 | loss: 0.0048089 | val_loss: 0.004771 | Time: 15690.6 ms [2020-11-10 03:04:57 main:574] : INFO : Epoch 77 | loss: 0.00465924 | val_loss: 0.00462414 | Time: 15791.5 ms [2020-11-10 03:05:13 main:574] : INFO : Epoch 78 | loss: 0.00451121 | val_loss: 0.00447738 | Time: 15817.1 ms [2020-11-10 03:05:29 main:574] : INFO : Epoch 79 | loss: 0.0043622 | val_loss: 0.00432773 | Time: 15885.1 ms [2020-11-10 03:05:45 main:574] : INFO : Epoch 80 | loss: 0.00421028 | val_loss: 0.00418565 | Time: 16015.6 ms [2020-11-10 03:06:01 main:574] : INFO : Epoch 81 | loss: 0.00406807 | val_loss: 0.00403668 | Time: 15966.2 ms [2020-11-10 03:06:17 main:574] : INFO : Epoch 82 | loss: 0.00392834 | val_loss: 0.00389838 | Time: 15828.8 ms [2020-11-10 03:06:33 main:574] : INFO : Epoch 83 | loss: 0.00378962 | val_loss: 0.00375996 | Time: 15749.9 ms [2020-11-10 03:06:49 main:574] : INFO : Epoch 84 | loss: 0.00365479 | val_loss: 0.00362474 | Time: 15752.7 ms [2020-11-10 03:07:04 main:574] : INFO : Epoch 85 | loss: 0.00352092 | val_loss: 0.00348933 | Time: 15777.1 ms [2020-11-10 03:07:20 main:574] : INFO : Epoch 86 | loss: 0.00339066 | val_loss: 0.0033607 | Time: 15849.9 ms [2020-11-10 03:07:36 main:574] : INFO : Epoch 87 | loss: 0.00326266 | val_loss: 0.00323325 | Time: 15761.3 ms [2020-11-10 03:07:52 main:574] : INFO : Epoch 88 | loss: 0.00313726 | val_loss: 0.00310467 | Time: 15750.8 ms [2020-11-10 03:08:08 main:574] : INFO : Epoch 89 | loss: 0.00301569 | val_loss: 0.002982 | Time: 15905.8 ms [2020-11-10 03:08:24 main:574] : INFO : Epoch 90 | loss: 0.00289665 | val_loss: 0.00286388 | Time: 15880.6 ms [2020-11-10 03:08:40 main:574] : INFO : Epoch 91 | loss: 0.00278096 | val_loss: 0.0027481 | Time: 15774.4 ms [2020-11-10 03:08:55 main:574] : INFO : Epoch 92 | loss: 0.00266979 | val_loss: 0.00263553 | Time: 15647.6 ms [2020-11-10 03:09:11 main:574] : INFO : Epoch 93 | loss: 0.00256063 | val_loss: 0.00252663 | Time: 15746.5 ms [2020-11-10 03:09:27 main:574] : INFO : Epoch 94 | loss: 0.00245524 | val_loss: 0.00242056 | Time: 15969.2 ms [2020-11-10 03:09:43 main:574] : INFO : Epoch 95 | loss: 0.00235381 | val_loss: 0.00232025 | Time: 15822.6 ms [2020-11-10 03:09:59 main:574] : INFO : Epoch 96 | loss: 0.00225559 | val_loss: 0.00222303 | Time: 15850.3 ms [2020-11-10 03:10:15 main:574] : INFO : Epoch 97 | loss: 0.00216014 | val_loss: 0.00212763 | Time: 15906.9 ms [2020-11-10 03:10:31 main:574] : INFO : Epoch 98 | loss: 0.00206899 | val_loss: 0.00203736 | Time: 15855.6 ms [2020-11-10 03:10:47 main:574] : INFO : Epoch 99 | loss: 0.00198073 | val_loss: 0.0019513 | Time: 15851.3 ms [2020-11-10 03:11:02 main:574] : INFO : Epoch 100 | loss: 0.00189633 | val_loss: 0.00186583 | Time: 15734.3 ms [2020-11-10 03:11:18 main:574] : INFO : Epoch 101 | loss: 0.00181458 | val_loss: 0.00178534 | Time: 15920.9 ms [2020-11-10 03:11:34 main:574] : INFO : Epoch 102 | loss: 0.00173619 | val_loss: 0.00170654 | Time: 15712.8 ms [2020-11-10 03:11:50 main:574] : INFO : Epoch 103 | loss: 0.00166077 | val_loss: 0.00163227 | Time: 15796.5 ms [2020-11-10 03:12:06 main:574] : INFO : Epoch 104 | loss: 0.00158759 | val_loss: 0.00156166 | Time: 15656.2 ms [2020-11-10 03:12:22 main:574] : INFO : Epoch 105 | loss: 0.00151878 | val_loss: 0.0014922 | Time: 15907.8 ms [2020-11-10 03:12:38 main:574] : INFO : Epoch 106 | loss: 0.00145155 | val_loss: 0.00142774 | Time: 15851.7 ms [2020-11-10 03:12:53 main:574] : INFO : Epoch 107 | loss: 0.00138822 | val_loss: 0.00136575 | Time: 15719.4 ms [2020-11-10 03:13:09 main:574] : INFO : Epoch 108 | loss: 0.00132622 | val_loss: 0.00130529 | Time: 15598.6 ms [2020-11-10 03:13:25 main:574] : INFO : Epoch 109 | loss: 0.00126784 | val_loss: 0.00124458 | Time: 15797.9 ms [2020-11-10 03:13:41 main:574] : INFO : Epoch 110 | loss: 0.0012106 | val_loss: 0.00118834 | Time: 15976.1 ms [2020-11-10 03:13:57 main:574] : INFO : Epoch 111 | loss: 0.00115697 | val_loss: 0.00113779 | Time: 15851.1 ms [2020-11-10 03:14:13 main:574] : INFO : Epoch 112 | loss: 0.0011049 | val_loss: 0.001085 | Time: 15874.7 ms [2020-11-10 03:14:29 main:574] : INFO : Epoch 113 | loss: 0.00105597 | val_loss: 0.00103621 | Time: 15904.6 ms [2020-11-10 03:14:44 main:574] : INFO : Epoch 114 | loss: 0.00100858 | val_loss: 0.000987928 | Time: 15865.7 ms [2020-11-10 03:15:00 main:574] : INFO : Epoch 115 | loss: 0.000962801 | val_loss: 0.000944676 | Time: 15818.7 ms [2020-11-10 03:15:16 main:574] : INFO : Epoch 116 | loss: 0.000918985 | val_loss: 0.000904149 | Time: 15992.3 ms [2020-11-10 03:15:32 main:574] : INFO : Epoch 117 | loss: 0.000877164 | val_loss: 0.000861216 | Time: 15675.9 ms [2020-11-10 03:15:48 main:574] : INFO : Epoch 118 | loss: 0.000836289 | val_loss: 0.0008218 | Time: 15869.4 ms [2020-11-10 03:16:04 main:574] : INFO : Epoch 119 | loss: 0.000798482 | val_loss: 0.000783095 | Time: 15845.1 ms [2020-11-10 03:16:20 main:574] : INFO : Epoch 120 | loss: 0.000761674 | val_loss: 0.000748889 | Time: 15835 ms [2020-11-10 03:16:36 main:574] : INFO : Epoch 121 | loss: 0.000726871 | val_loss: 0.000713403 | Time: 15961 ms [2020-11-10 03:16:52 main:574] : INFO : Epoch 122 | loss: 0.000692756 | val_loss: 0.000680647 | Time: 15886.8 ms [2020-11-10 03:17:07 main:574] : INFO : Epoch 123 | loss: 0.000659873 | val_loss: 0.000647211 | Time: 15577.9 ms [2020-11-10 03:17:23 main:574] : INFO : Epoch 124 | loss: 0.000629451 | val_loss: 0.000618298 | Time: 15882.2 ms [2020-11-10 03:17:39 main:574] : INFO : Epoch 125 | loss: 0.000599757 | val_loss: 0.00058889 | Time: 16062.5 ms [2020-11-10 03:17:55 main:574] : INFO : Epoch 126 | loss: 0.00057043 | val_loss: 0.000561054 | Time: 15889.8 ms [2020-11-10 03:18:11 main:574] : INFO : Epoch 127 | loss: 0.000543215 | val_loss: 0.000534362 | Time: 15968.6 ms [2020-11-10 03:18:27 main:574] : INFO : Epoch 128 | loss: 0.000517873 | val_loss: 0.000508066 | Time: 15950.9 ms [2020-11-10 03:18:43 main:574] : INFO : Epoch 129 | loss: 0.000492911 | val_loss: 0.00048469 | Time: 15946.2 ms [2020-11-10 03:18:59 main:574] : INFO : Epoch 130 | loss: 0.000469335 | val_loss: 0.000461729 | Time: 15872.7 ms [2020-11-10 03:19:15 main:574] : INFO : Epoch 131 | loss: 0.000447175 | val_loss: 0.00043875 | Time: 15818.9 ms [2020-11-10 03:19:31 main:574] : INFO : Epoch 132 | loss: 0.000425877 | val_loss: 0.00041882 | Time: 15806.2 ms [2020-11-10 03:19:47 main:574] : INFO : Epoch 133 | loss: 0.000405707 | val_loss: 0.000400319 | Time: 15716.7 ms [2020-11-10 03:20:03 main:574] : INFO : Epoch 134 | loss: 0.000386523 | val_loss: 0.000380684 | Time: 15757.3 ms [2020-11-10 03:20:18 main:574] : INFO : Epoch 135 | loss: 0.000368034 | val_loss: 0.000364746 | Time: 15765.5 ms [2020-11-10 03:20:34 main:574] : INFO : Epoch 136 | loss: 0.000351722 | val_loss: 0.000348174 | Time: 15866.1 ms [2020-11-10 03:20:50 main:574] : INFO : Epoch 137 | loss: 0.000335675 | val_loss: 0.00032829 | Time: 15777.4 ms [2020-11-10 03:21:06 main:574] : INFO : Epoch 138 | loss: 0.000319802 | val_loss: 0.000312936 | Time: 15822.6 ms [2020-11-10 03:21:22 main:574] : INFO : Epoch 139 | loss: 0.000304813 | val_loss: 0.000300038 | Time: 15702 ms [2020-11-10 03:21:38 main:574] : INFO : Epoch 140 | loss: 0.000291899 | val_loss: 0.000288199 | Time: 15826.2 ms [2020-11-10 03:21:53 main:574] : INFO : Epoch 141 | loss: 0.000277895 | val_loss: 0.000274905 | Time: 15824.8 ms [2020-11-10 03:22:09 main:574] : INFO : Epoch 142 | loss: 0.000265797 | val_loss: 0.000263255 | Time: 15862.4 ms [2020-11-10 03:22:25 main:574] : INFO : Epoch 143 | loss: 0.000254686 | val_loss: 0.00025162 | Time: 16003.9 ms [2020-11-10 03:22:41 main:574] : INFO : Epoch 144 | loss: 0.000243211 | val_loss: 0.00024098 | Time: 15900.5 ms [2020-11-10 03:22:57 main:574] : INFO : Epoch 145 | loss: 0.000233045 | val_loss: 0.000230401 | Time: 15793.9 ms [2020-11-10 03:23:13 main:574] : INFO : Epoch 146 | loss: 0.000222902 | val_loss: 0.000222449 | Time: 15902.6 ms [2020-11-10 03:23:29 main:574] : INFO : Epoch 147 | loss: 0.000213269 | val_loss: 0.000211376 | Time: 15985.5 ms [2020-11-10 03:23:45 main:574] : INFO : Epoch 148 | loss: 0.000204893 | val_loss: 0.000202805 | Time: 15856.2 ms [2020-11-10 03:24:01 main:574] : INFO : Epoch 149 | loss: 0.000196586 | val_loss: 0.000193801 | Time: 16016.4 ms [2020-11-10 03:24:17 main:574] : INFO : Epoch 150 | loss: 0.00018865 | val_loss: 0.000185257 | Time: 15796.3 ms [2020-11-10 03:24:33 main:574] : INFO : Epoch 151 | loss: 0.000180998 | val_loss: 0.00017928 | Time: 15783.1 ms [2020-11-10 03:24:49 main:574] : INFO : Epoch 152 | loss: 0.000173984 | val_loss: 0.000172256 | Time: 15862.3 ms [2020-11-10 03:25:05 main:574] : INFO : Epoch 153 | loss: 0.000167194 | val_loss: 0.000165378 | Time: 15849.5 ms [2020-11-10 03:25:20 main:574] : INFO : Epoch 154 | loss: 0.000160946 | val_loss: 0.000158557 | Time: 15628.5 ms [2020-11-10 03:25:36 main:574] : INFO : Epoch 155 | loss: 0.00015506 | val_loss: 0.000154411 | Time: 15779.8 ms [2020-11-10 03:25:52 main:574] : INFO : Epoch 156 | loss: 0.00014945 | val_loss: 0.000147942 | Time: 15812 ms [2020-11-10 03:26:08 main:574] : INFO : Epoch 157 | loss: 0.000143884 | val_loss: 0.000142593 | Time: 15970.6 ms [2020-11-10 03:26:24 main:574] : INFO : Epoch 158 | loss: 0.000138976 | val_loss: 0.000137506 | Time: 15984 ms [2020-11-10 03:26:40 main:574] : INFO : Epoch 159 | loss: 0.000134022 | val_loss: 0.000134278 | Time: 15760.7 ms [2020-11-10 03:26:56 main:574] : INFO : Epoch 160 | loss: 0.000129799 | val_loss: 0.000129782 | Time: 15938.6 ms [2020-11-10 03:27:12 main:574] : INFO : Epoch 161 | loss: 0.000125725 | val_loss: 0.000124194 | Time: 15922.6 ms [2020-11-10 03:27:28 main:574] : INFO : Epoch 162 | loss: 0.000121607 | val_loss: 0.000122493 | Time: 15938.6 ms [2020-11-10 03:27:43 main:574] : INFO : Epoch 163 | loss: 0.000117271 | val_loss: 0.000116399 | Time: 15643 ms [2020-11-10 03:27:59 main:574] : INFO : Epoch 164 | loss: 0.000113704 | val_loss: 0.000113994 | Time: 15872 ms [2020-11-10 03:28:15 main:574] : INFO : Epoch 165 | loss: 0.00011111 | val_loss: 0.000111186 | Time: 15730.9 ms [2020-11-10 03:28:31 main:574] : INFO : Epoch 166 | loss: 0.000107223 | val_loss: 0.000107602 | Time: 15808.6 ms [2020-11-10 03:28:47 main:574] : INFO : Epoch 167 | loss: 0.000103798 | val_loss: 0.000105446 | Time: 15832.2 ms [2020-11-10 03:29:03 main:574] : INFO : Epoch 168 | loss: 0.000101204 | val_loss: 0.000101062 | Time: 15818.8 ms [2020-11-10 03:29:18 main:574] : INFO : Epoch 169 | loss: 9.87353e-05 | val_loss: 9.87539e-05 | Time: 15714 ms [2020-11-10 03:29:34 main:574] : INFO : Epoch 170 | loss: 9.56671e-05 | val_loss: 9.67839e-05 | Time: 15851.1 ms [2020-11-10 03:29:50 main:574] : INFO : Epoch 171 | loss: 9.32945e-05 | val_loss: 9.28824e-05 | Time: 15785.7 ms [2020-11-10 03:30:06 main:574] : INFO : Epoch 172 | loss: 9.06912e-05 | val_loss: 9.07695e-05 | Time: 15957.4 ms [2020-11-10 03:30:22 main:574] : INFO : Epoch 173 | loss: 8.83532e-05 | val_loss: 8.75846e-05 | Time: 15866.6 ms [2020-11-10 03:30:38 main:574] : INFO : Epoch 174 | loss: 8.60751e-05 | val_loss: 8.49788e-05 | Time: 15896.7 ms [2020-11-10 03:30:54 main:574] : INFO : Epoch 175 | loss: 8.33486e-05 | val_loss: 8.28452e-05 | Time: 15931.1 ms [2020-11-10 03:31:10 main:574] : INFO : Epoch 176 | loss: 8.23852e-05 | val_loss: 8.18697e-05 | Time: 15639.9 ms [2020-11-10 03:31:26 main:574] : INFO : Epoch 177 | loss: 7.97609e-05 | val_loss: 8.01174e-05 | Time: 16109.2 ms [2020-11-10 03:31:42 main:574] : INFO : Epoch 178 | loss: 7.78509e-05 | val_loss: 7.8017e-05 | Time: 16012.8 ms [2020-11-10 03:31:58 main:574] : INFO : Epoch 179 | loss: 7.58657e-05 | val_loss: 7.74341e-05 | Time: 15761.9 ms [2020-11-10 03:32:13 main:574] : INFO : Epoch 180 | loss: 7.4141e-05 | val_loss: 7.48974e-05 | Time: 15616.8 ms [2020-11-10 03:32:29 main:574] : INFO : Epoch 181 | loss: 7.25869e-05 | val_loss: 7.41675e-05 | Time: 15764.7 ms [2020-11-10 03:32:45 main:574] : INFO : Epoch 182 | loss: 7.1049e-05 | val_loss: 6.97593e-05 | Time: 15883.5 ms [2020-11-10 03:33:01 main:574] : INFO : Epoch 183 | loss: 6.93178e-05 | val_loss: 6.92624e-05 | Time: 15769.8 ms [2020-11-10 03:33:17 main:574] : INFO : Epoch 184 | loss: 6.78696e-05 | val_loss: 6.82527e-05 | Time: 15869.7 ms [2020-11-10 03:33:32 main:574] : INFO : Epoch 185 | loss: 6.64646e-05 | val_loss: 6.67968e-05 | Time: 15720.9 ms [2020-11-10 03:33:48 main:574] : INFO : Epoch 186 | loss: 6.49526e-05 | val_loss: 6.4541e-05 | Time: 15824.1 ms [2020-11-10 03:34:04 main:574] : INFO : Epoch 187 | loss: 6.37207e-05 | val_loss: 6.44701e-05 | Time: 15888.7 ms [2020-11-10 03:34:20 main:574] : INFO : Epoch 188 | loss: 6.27411e-05 | val_loss: 6.17694e-05 | Time: 15889 ms [2020-11-10 03:34:36 main:574] : INFO : Epoch 189 | loss: 6.1203e-05 | val_loss: 6.14469e-05 | Time: 15928.3 ms [2020-11-10 03:34:52 main:574] : INFO : Epoch 190 | loss: 5.98783e-05 | val_loss: 6.02784e-05 | Time: 16012.6 ms [2020-11-10 03:35:08 main:574] : INFO : Epoch 191 | loss: 5.87613e-05 | val_loss: 5.80165e-05 | Time: 15826.4 ms [2020-11-10 03:35:24 main:574] : INFO : Epoch 192 | loss: 5.76516e-05 | val_loss: 5.75323e-05 | Time: 16002.6 ms [2020-11-10 03:35:24 main:597] : INFO : Saving trained model to model-final.pt, val_loss 5.75323e-05 [2020-11-10 03:35:24 main:603] : INFO : Saving end state to config to file [2020-11-10 03:35:24 main:608] : INFO : Success, exiting.. 03:35:24 (9612): 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)