Task 2795792
| Name | rand_automata_0052-1604947872-32363-0_1 |
| Workunit | 1259626 |
| 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, 10:18:25 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 596 |
| Run time | 51 min 10 sec |
| CPU time | 49 min 50 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 |
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 10:27:07 main:435] : INFO : Set logging level to 1 [2020-11-10 10:27:07 main:441] : INFO : Running in BOINC Client mode [2020-11-10 10:27:07 main:444] : INFO : Resolving all filenames [2020-11-10 10:27:07 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0052-train-val-dataset.hdf5 (exists = 1) [2020-11-10 10:27:07 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0052-1604947872-32363-0_1_r948195418_1 (exists = 0) [2020-11-10 10:27:07 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0052-1604947872-32363-0_1_r948195418_0 (exists = 0) [2020-11-10 10:27:07 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-10 10:27:07 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-10 10:27:07 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0052-train-val-dataset.hdf5 [2020-11-10 10:27:07 main:474] : INFO : Configuration: [2020-11-10 10:27:07 main:475] : INFO : Model type: LSTM [2020-11-10 10:27:07 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-10 10:27:07 main:477] : INFO : Max Epochs: 192 [2020-11-10 10:27:07 main:478] : INFO : Batch Size: 32 [2020-11-10 10:27:07 main:479] : INFO : Learning Rate: 0.001 [2020-11-10 10:27:07 main:480] : INFO : Patience: 10 [2020-11-10 10:27:07 main:481] : INFO : Hidden Width: 64 [2020-11-10 10:27:07 main:482] : INFO : # Recurrent Layers: 4 [2020-11-10 10:27:07 main:483] : INFO : # Backend Layers: 2 [2020-11-10 10:27:07 main:484] : INFO : # Threads: 1 [2020-11-10 10:27:07 main:486] : INFO : Preparing Dataset [2020-11-10 10:27:07 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0052-train-val-dataset.hdf5 into memory [2020-11-10 10:27:07 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0052-train-val-dataset.hdf5 into memory [2020-11-10 10:27:14 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-10 10:27:14 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0052-train-val-dataset.hdf5 into memory [2020-11-10 10:27:14 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0052-train-val-dataset.hdf5 into memory [2020-11-10 10:27:14 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-10 10:27:14 main:494] : INFO : Creating Model [2020-11-10 10:27:14 main:507] : INFO : Preparing config file [2020-11-10 10:27:14 main:519] : INFO : Creating new config file [2020-11-10 10:27:19 main:559] : INFO : Loading DataLoader into Memory [2020-11-10 10:27:19 main:562] : INFO : Starting Training [2020-11-10 10:27:36 main:574] : INFO : Epoch 1 | loss: 0.0661171 | val_loss: 0.0658186 | Time: 16862.7 ms [2020-11-10 10:27:52 main:574] : INFO : Epoch 2 | loss: 0.0646361 | val_loss: 0.0630292 | Time: 15833.2 ms [2020-11-10 10:28:08 main:574] : INFO : Epoch 3 | loss: 0.0615327 | val_loss: 0.0599658 | Time: 15888.2 ms [2020-11-10 10:28:23 main:574] : INFO : Epoch 4 | loss: 0.0587268 | val_loss: 0.0577377 | Time: 15726.9 ms [2020-11-10 10:28:39 main:574] : INFO : Epoch 5 | loss: 0.0567742 | val_loss: 0.0561417 | Time: 15886 ms [2020-11-10 10:28:56 main:574] : INFO : Epoch 6 | loss: 0.0552936 | val_loss: 0.0548885 | Time: 15780.1 ms [2020-11-10 10:29:11 main:574] : INFO : Epoch 7 | loss: 0.0540033 | val_loss: 0.0538156 | Time: 15714.3 ms [2020-11-10 10:29:27 main:574] : INFO : Epoch 8 | loss: 0.0528183 | val_loss: 0.0525586 | Time: 15585.5 ms [2020-11-10 10:29:43 main:574] : INFO : Epoch 9 | loss: 0.0515677 | val_loss: 0.0513711 | Time: 15457.8 ms [2020-11-10 10:29:58 main:574] : INFO : Epoch 10 | loss: 0.0501539 | val_loss: 0.0498543 | Time: 15817.9 ms [2020-11-10 10:30:14 main:574] : INFO : Epoch 11 | loss: 0.0485977 | val_loss: 0.0485162 | Time: 15974.7 ms [2020-11-10 10:30:30 main:574] : INFO : Epoch 12 | loss: 0.0467364 | val_loss: 0.0464461 | Time: 15786.5 ms [2020-11-10 10:30:46 main:574] : INFO : Epoch 13 | loss: 0.0445386 | val_loss: 0.0440807 | Time: 15666.7 ms [2020-11-10 10:31:02 main:574] : INFO : Epoch 14 | loss: 0.0420225 | val_loss: 0.0415782 | Time: 15747.5 ms [2020-11-10 10:31:18 main:574] : INFO : Epoch 15 | loss: 0.0390701 | val_loss: 0.0387362 | Time: 15840.1 ms [2020-11-10 10:31:33 main:574] : INFO : Epoch 16 | loss: 0.0359516 | val_loss: 0.0393235 | Time: 15723.9 ms [2020-11-10 10:31:49 main:574] : INFO : Epoch 17 | loss: 0.0331251 | val_loss: 0.0341383 | Time: 15730 ms [2020-11-10 10:32:05 main:574] : INFO : Epoch 18 | loss: 0.0322839 | val_loss: 0.0319619 | Time: 15848.8 ms [2020-11-10 10:32:21 main:574] : INFO : Epoch 19 | loss: 0.0313334 | val_loss: 0.0318904 | Time: 15745.3 ms [2020-11-10 10:32:37 main:574] : INFO : Epoch 20 | loss: 0.0279667 | val_loss: 0.0254918 | Time: 15838.7 ms [2020-11-10 10:32:53 main:574] : INFO : Epoch 21 | loss: 0.0263902 | val_loss: 0.0461876 | Time: 15767.5 ms [2020-11-10 10:33:08 main:574] : INFO : Epoch 22 | loss: 0.0302603 | val_loss: 0.0257967 | Time: 15779.9 ms [2020-11-10 10:33:24 main:574] : INFO : Epoch 23 | loss: 0.0276531 | val_loss: 0.024641 | Time: 15670.2 ms [2020-11-10 10:33:40 main:574] : INFO : Epoch 24 | loss: 0.0325528 | val_loss: 0.0213417 | Time: 15706 ms [2020-11-10 10:33:56 main:574] : INFO : Epoch 25 | loss: 0.0200489 | val_loss: 0.0197274 | Time: 15764.5 ms [2020-11-10 10:34:12 main:574] : INFO : Epoch 26 | loss: 0.0335932 | val_loss: 0.0480194 | Time: 15841.6 ms [2020-11-10 10:34:27 main:574] : INFO : Epoch 27 | loss: 0.0305128 | val_loss: 0.0202367 | Time: 15689.8 ms [2020-11-10 10:34:43 main:574] : INFO : Epoch 28 | loss: 0.0168637 | val_loss: 0.0195157 | Time: 15876.5 ms [2020-11-10 10:34:59 main:574] : INFO : Epoch 29 | loss: 0.0279063 | val_loss: 0.0363679 | Time: 15915.1 ms [2020-11-10 10:35:15 main:574] : INFO : Epoch 30 | loss: 0.023202 | val_loss: 0.0198744 | Time: 15803.5 ms [2020-11-10 10:35:31 main:574] : INFO : Epoch 31 | loss: 0.0577469 | val_loss: 0.0602659 | Time: 15767.4 ms [2020-11-10 10:35:47 main:574] : INFO : Epoch 32 | loss: 0.0595613 | val_loss: 0.0590139 | Time: 15678.8 ms [2020-11-10 10:36:02 main:574] : INFO : Epoch 33 | loss: 0.0583124 | val_loss: 0.0577499 | Time: 15861 ms [2020-11-10 10:36:18 main:574] : INFO : Epoch 34 | loss: 0.0568565 | val_loss: 0.0560581 | Time: 15878.2 ms [2020-11-10 10:36:34 main:574] : INFO : Epoch 35 | loss: 0.054532 | val_loss: 0.0530646 | Time: 15803.3 ms [2020-11-10 10:36:50 main:574] : INFO : Epoch 36 | loss: 0.0501356 | val_loss: 0.0468525 | Time: 15691.7 ms [2020-11-10 10:37:06 main:574] : INFO : Epoch 37 | loss: 0.0409132 | val_loss: 0.038459 | Time: 15798.6 ms [2020-11-10 10:37:22 main:574] : INFO : Epoch 38 | loss: 0.0274515 | val_loss: 0.0212655 | Time: 15763.6 ms [2020-11-10 10:37:37 main:574] : INFO : Epoch 39 | loss: 0.0188241 | val_loss: 0.0197365 | Time: 15646.5 ms [2020-11-10 10:37:53 main:574] : INFO : Epoch 40 | loss: 0.0159523 | val_loss: 0.0149634 | Time: 15640.6 ms [2020-11-10 10:38:09 main:574] : INFO : Epoch 41 | loss: 0.0151112 | val_loss: 0.0148051 | Time: 15752.4 ms [2020-11-10 10:38:24 main:574] : INFO : Epoch 42 | loss: 0.0126645 | val_loss: 0.0120756 | Time: 15569.2 ms [2020-11-10 10:38:40 main:574] : INFO : Epoch 43 | loss: 0.0170785 | val_loss: 0.0528865 | Time: 15784 ms [2020-11-10 10:38:56 main:574] : INFO : Epoch 44 | loss: 0.0253823 | val_loss: 0.0144158 | Time: 15867.7 ms [2020-11-10 10:39:12 main:574] : INFO : Epoch 45 | loss: 0.0128287 | val_loss: 0.0122083 | Time: 15769.1 ms [2020-11-10 10:39:28 main:574] : INFO : Epoch 46 | loss: 0.0206233 | val_loss: 0.0247496 | Time: 15810.8 ms [2020-11-10 10:39:44 main:574] : INFO : Epoch 47 | loss: 0.0166565 | val_loss: 0.0121142 | Time: 15800.9 ms [2020-11-10 10:39:59 main:574] : INFO : Epoch 48 | loss: 0.0110993 | val_loss: 0.0109933 | Time: 15713.7 ms [2020-11-10 10:40:15 main:574] : INFO : Epoch 49 | loss: 0.0102278 | val_loss: 0.0105115 | Time: 15937.5 ms [2020-11-10 10:40:31 main:574] : INFO : Epoch 50 | loss: 0.0100658 | val_loss: 0.0106107 | Time: 15813.3 ms [2020-11-10 10:40:47 main:574] : INFO : Epoch 51 | loss: 0.0098842 | val_loss: 0.00952219 | Time: 15708.4 ms [2020-11-10 10:41:02 main:574] : INFO : Epoch 52 | loss: 0.00894631 | val_loss: 0.00899922 | Time: 15573 ms [2020-11-10 10:41:18 main:574] : INFO : Epoch 53 | loss: 0.00902424 | val_loss: 0.00910242 | Time: 15915.2 ms [2020-11-10 10:41:34 main:574] : INFO : Epoch 54 | loss: 0.00848073 | val_loss: 0.00848384 | Time: 15633.7 ms [2020-11-10 10:41:50 main:574] : INFO : Epoch 55 | loss: 0.0081808 | val_loss: 0.00848044 | Time: 15658.7 ms [2020-11-10 10:42:06 main:574] : INFO : Epoch 56 | loss: 0.00791514 | val_loss: 0.00804366 | Time: 15837.6 ms [2020-11-10 10:42:22 main:574] : INFO : Epoch 57 | loss: 0.00786245 | val_loss: 0.00802533 | Time: 15984.4 ms [2020-11-10 10:42:38 main:574] : INFO : Epoch 58 | loss: 0.00760157 | val_loss: 0.00766818 | Time: 15858.5 ms [2020-11-10 10:42:54 main:574] : INFO : Epoch 59 | loss: 0.00732997 | val_loss: 0.00747558 | Time: 15957.2 ms [2020-11-10 10:43:10 main:574] : INFO : Epoch 60 | loss: 0.00714393 | val_loss: 0.00729355 | Time: 15960.3 ms [2020-11-10 10:43:26 main:574] : INFO : Epoch 61 | loss: 0.00696296 | val_loss: 0.00710735 | Time: 15898.3 ms [2020-11-10 10:43:42 main:574] : INFO : Epoch 62 | loss: 0.00679625 | val_loss: 0.00693536 | Time: 15978.8 ms [2020-11-10 10:43:57 main:574] : INFO : Epoch 63 | loss: 0.00665209 | val_loss: 0.00677227 | Time: 15771.7 ms [2020-11-10 10:44:13 main:574] : INFO : Epoch 64 | loss: 0.0064807 | val_loss: 0.00658589 | Time: 15760.7 ms [2020-11-10 10:44:29 main:574] : INFO : Epoch 65 | loss: 0.00631491 | val_loss: 0.00643524 | Time: 15847 ms [2020-11-10 10:44:45 main:574] : INFO : Epoch 66 | loss: 0.00614727 | val_loss: 0.00621905 | Time: 15892.7 ms [2020-11-10 10:45:01 main:574] : INFO : Epoch 67 | loss: 0.00598511 | val_loss: 0.00605041 | Time: 15938.8 ms [2020-11-10 10:45:17 main:574] : INFO : Epoch 68 | loss: 0.00583333 | val_loss: 0.00588635 | Time: 15768.4 ms [2020-11-10 10:45:33 main:574] : INFO : Epoch 69 | loss: 0.00567701 | val_loss: 0.00574532 | Time: 15906 ms [2020-11-10 10:45:49 main:574] : INFO : Epoch 70 | loss: 0.00552034 | val_loss: 0.00557297 | Time: 15726.4 ms [2020-11-10 10:46:04 main:574] : INFO : Epoch 71 | loss: 0.00537041 | val_loss: 0.00539538 | Time: 15808.8 ms [2020-11-10 10:46:20 main:574] : INFO : Epoch 72 | loss: 0.00521924 | val_loss: 0.00522328 | Time: 15997.5 ms [2020-11-10 10:46:36 main:574] : INFO : Epoch 73 | loss: 0.00506533 | val_loss: 0.00505558 | Time: 15770.7 ms [2020-11-10 10:46:52 main:574] : INFO : Epoch 74 | loss: 0.00491739 | val_loss: 0.00489874 | Time: 15975 ms [2020-11-10 10:47:08 main:574] : INFO : Epoch 75 | loss: 0.00477164 | val_loss: 0.00475124 | Time: 15898.5 ms [2020-11-10 10:47:24 main:574] : INFO : Epoch 76 | loss: 0.00462668 | val_loss: 0.00460403 | Time: 15854.4 ms [2020-11-10 10:47:40 main:574] : INFO : Epoch 77 | loss: 0.00448304 | val_loss: 0.00445945 | Time: 15976.1 ms [2020-11-10 10:47:56 main:574] : INFO : Epoch 78 | loss: 0.004342 | val_loss: 0.0043123 | Time: 15872 ms [2020-11-10 10:48:12 main:574] : INFO : Epoch 79 | loss: 0.00420154 | val_loss: 0.00416098 | Time: 15697.2 ms [2020-11-10 10:48:28 main:574] : INFO : Epoch 80 | loss: 0.00406334 | val_loss: 0.00402356 | Time: 15714.1 ms [2020-11-10 10:48:43 main:574] : INFO : Epoch 81 | loss: 0.00392701 | val_loss: 0.00388541 | Time: 15768.8 ms [2020-11-10 10:48:59 main:574] : INFO : Epoch 82 | loss: 0.00379297 | val_loss: 0.00374914 | Time: 15934.7 ms [2020-11-10 10:49:15 main:574] : INFO : Epoch 83 | loss: 0.00366222 | val_loss: 0.00361667 | Time: 15876.2 ms [2020-11-10 10:49:31 main:574] : INFO : Epoch 84 | loss: 0.00353261 | val_loss: 0.00347839 | Time: 15799.5 ms [2020-11-10 10:49:47 main:574] : INFO : Epoch 85 | loss: 0.00340555 | val_loss: 0.00335046 | Time: 15918.6 ms [2020-11-10 10:50:03 main:574] : INFO : Epoch 86 | loss: 0.00328221 | val_loss: 0.00322784 | Time: 15604.8 ms [2020-11-10 10:50:19 main:574] : INFO : Epoch 87 | loss: 0.00316117 | val_loss: 0.00310414 | Time: 15748.3 ms [2020-11-10 10:50:35 main:574] : INFO : Epoch 88 | loss: 0.00304195 | val_loss: 0.00298882 | Time: 16027.1 ms [2020-11-10 10:50:50 main:574] : INFO : Epoch 89 | loss: 0.00292596 | val_loss: 0.00287375 | Time: 15779.3 ms [2020-11-10 10:51:06 main:574] : INFO : Epoch 90 | loss: 0.00281338 | val_loss: 0.00276045 | Time: 15865.7 ms [2020-11-10 10:51:22 main:574] : INFO : Epoch 91 | loss: 0.00270324 | val_loss: 0.00265118 | Time: 15865.2 ms [2020-11-10 10:51:38 main:574] : INFO : Epoch 92 | loss: 0.0025963 | val_loss: 0.00254392 | Time: 15847.5 ms [2020-11-10 10:51:54 main:574] : INFO : Epoch 93 | loss: 0.00249156 | val_loss: 0.00244094 | Time: 15883.4 ms [2020-11-10 10:52:10 main:574] : INFO : Epoch 94 | loss: 0.00238964 | val_loss: 0.00234205 | Time: 15692.6 ms [2020-11-10 10:52:26 main:574] : INFO : Epoch 95 | loss: 0.0022909 | val_loss: 0.00224324 | Time: 15777.8 ms [2020-11-10 10:52:42 main:574] : INFO : Epoch 96 | loss: 0.00219527 | val_loss: 0.00214826 | Time: 15884.9 ms [2020-11-10 10:52:57 main:574] : INFO : Epoch 97 | loss: 0.00210115 | val_loss: 0.0020574 | Time: 15844.5 ms [2020-11-10 10:53:13 main:574] : INFO : Epoch 98 | loss: 0.00200991 | val_loss: 0.00196331 | Time: 15789.9 ms [2020-11-10 10:53:29 main:574] : INFO : Epoch 99 | loss: 0.00192048 | val_loss: 0.00187863 | Time: 15724.2 ms [2020-11-10 10:53:45 main:574] : INFO : Epoch 100 | loss: 0.00183448 | val_loss: 0.00179289 | Time: 15660.2 ms [2020-11-10 10:54:01 main:574] : INFO : Epoch 101 | loss: 0.00175031 | val_loss: 0.0017103 | Time: 15843.5 ms [2020-11-10 10:54:16 main:574] : INFO : Epoch 102 | loss: 0.00166936 | val_loss: 0.0016303 | Time: 15828.6 ms [2020-11-10 10:54:32 main:574] : INFO : Epoch 103 | loss: 0.00159141 | val_loss: 0.00155248 | Time: 15808.2 ms [2020-11-10 10:54:48 main:574] : INFO : Epoch 104 | loss: 0.00151515 | val_loss: 0.0014798 | Time: 15837.6 ms [2020-11-10 10:55:04 main:574] : INFO : Epoch 105 | loss: 0.00144163 | val_loss: 0.00140784 | Time: 15901.9 ms [2020-11-10 10:55:20 main:574] : INFO : Epoch 106 | loss: 0.00137057 | val_loss: 0.0013354 | Time: 15848.7 ms [2020-11-10 10:55:36 main:574] : INFO : Epoch 107 | loss: 0.00130189 | val_loss: 0.00127002 | Time: 15791.6 ms [2020-11-10 10:55:52 main:574] : INFO : Epoch 108 | loss: 0.00123595 | val_loss: 0.00120705 | Time: 15841.9 ms [2020-11-10 10:56:08 main:574] : INFO : Epoch 109 | loss: 0.00117378 | val_loss: 0.00114364 | Time: 15823.9 ms [2020-11-10 10:56:23 main:574] : INFO : Epoch 110 | loss: 0.00111414 | val_loss: 0.00108734 | Time: 15781.7 ms [2020-11-10 10:56:39 main:574] : INFO : Epoch 111 | loss: 0.00105804 | val_loss: 0.00103311 | Time: 15832.4 ms [2020-11-10 10:56:55 main:574] : INFO : Epoch 112 | loss: 0.00100371 | val_loss: 0.000980595 | Time: 15938.8 ms [2020-11-10 10:57:11 main:574] : INFO : Epoch 113 | loss: 0.000952623 | val_loss: 0.000932415 | Time: 15883.5 ms [2020-11-10 10:57:27 main:574] : INFO : Epoch 114 | loss: 0.000904321 | val_loss: 0.000881849 | Time: 15699.7 ms [2020-11-10 10:57:43 main:574] : INFO : Epoch 115 | loss: 0.000857591 | val_loss: 0.000838327 | Time: 15748.9 ms [2020-11-10 10:57:58 main:574] : INFO : Epoch 116 | loss: 0.000813946 | val_loss: 0.000794863 | Time: 15668.4 ms [2020-11-10 10:58:14 main:574] : INFO : Epoch 117 | loss: 0.000772726 | val_loss: 0.000756573 | Time: 15705.5 ms [2020-11-10 10:58:30 main:574] : INFO : Epoch 118 | loss: 0.000733182 | val_loss: 0.000717006 | Time: 15887 ms [2020-11-10 10:58:46 main:574] : INFO : Epoch 119 | loss: 0.000696383 | val_loss: 0.000682497 | Time: 15852.4 ms [2020-11-10 10:59:02 main:574] : INFO : Epoch 120 | loss: 0.000661872 | val_loss: 0.000646637 | Time: 15808.7 ms [2020-11-10 10:59:18 main:574] : INFO : Epoch 121 | loss: 0.000628274 | val_loss: 0.000615483 | Time: 15922.2 ms [2020-11-10 10:59:34 main:574] : INFO : Epoch 122 | loss: 0.000597478 | val_loss: 0.00058412 | Time: 15923.5 ms [2020-11-10 10:59:50 main:574] : INFO : Epoch 123 | loss: 0.000568468 | val_loss: 0.000555866 | Time: 15961.5 ms [2020-11-10 11:00:06 main:574] : INFO : Epoch 124 | loss: 0.000540771 | val_loss: 0.000529751 | Time: 15856.8 ms [2020-11-10 11:00:22 main:574] : INFO : Epoch 125 | loss: 0.000514678 | val_loss: 0.00050227 | Time: 15745.7 ms [2020-11-10 11:00:38 main:574] : INFO : Epoch 126 | loss: 0.000490268 | val_loss: 0.000478307 | Time: 16110.3 ms [2020-11-10 11:00:54 main:574] : INFO : Epoch 127 | loss: 0.000467078 | val_loss: 0.000458736 | Time: 15843.4 ms [2020-11-10 11:01:09 main:574] : INFO : Epoch 128 | loss: 0.000445406 | val_loss: 0.000434569 | Time: 15850.8 ms [2020-11-10 11:01:26 main:574] : INFO : Epoch 129 | loss: 0.000424149 | val_loss: 0.000415335 | Time: 16074.2 ms [2020-11-10 11:01:41 main:574] : INFO : Epoch 130 | loss: 0.000405158 | val_loss: 0.000394731 | Time: 15670.7 ms [2020-11-10 11:01:57 main:574] : INFO : Epoch 131 | loss: 0.000386673 | val_loss: 0.00037796 | Time: 15775.2 ms [2020-11-10 11:02:13 main:574] : INFO : Epoch 132 | loss: 0.00036884 | val_loss: 0.000360798 | Time: 15848 ms [2020-11-10 11:02:29 main:574] : INFO : Epoch 133 | loss: 0.000352195 | val_loss: 0.000345158 | Time: 15703.3 ms [2020-11-10 11:02:44 main:574] : INFO : Epoch 134 | loss: 0.000336868 | val_loss: 0.000330034 | Time: 15731.2 ms [2020-11-10 11:03:00 main:574] : INFO : Epoch 135 | loss: 0.000322081 | val_loss: 0.000314792 | Time: 15770.1 ms [2020-11-10 11:03:16 main:574] : INFO : Epoch 136 | loss: 0.000307761 | val_loss: 0.000302672 | Time: 16000.9 ms [2020-11-10 11:03:32 main:574] : INFO : Epoch 137 | loss: 0.000295196 | val_loss: 0.000289834 | Time: 15802.6 ms [2020-11-10 11:03:48 main:574] : INFO : Epoch 138 | loss: 0.000283116 | val_loss: 0.000278424 | Time: 15896.4 ms [2020-11-10 11:04:04 main:574] : INFO : Epoch 139 | loss: 0.000270768 | val_loss: 0.000265787 | Time: 15818.4 ms [2020-11-10 11:04:20 main:574] : INFO : Epoch 140 | loss: 0.000260168 | val_loss: 0.000257529 | Time: 15711.1 ms [2020-11-10 11:04:36 main:574] : INFO : Epoch 141 | loss: 0.000249377 | val_loss: 0.000245459 | Time: 15860.3 ms [2020-11-10 11:04:52 main:574] : INFO : Epoch 142 | loss: 0.000240053 | val_loss: 0.000235009 | Time: 15918.5 ms [2020-11-10 11:05:08 main:574] : INFO : Epoch 143 | loss: 0.000231116 | val_loss: 0.000226119 | Time: 15976.7 ms [2020-11-10 11:05:24 main:574] : INFO : Epoch 144 | loss: 0.000222129 | val_loss: 0.000217367 | Time: 15845.8 ms [2020-11-10 11:05:39 main:574] : INFO : Epoch 145 | loss: 0.000213371 | val_loss: 0.000210737 | Time: 15743.6 ms [2020-11-10 11:05:55 main:574] : INFO : Epoch 146 | loss: 0.000205796 | val_loss: 0.000202364 | Time: 15681.7 ms [2020-11-10 11:06:11 main:574] : INFO : Epoch 147 | loss: 0.000197996 | val_loss: 0.000193897 | Time: 15792.1 ms [2020-11-10 11:06:27 main:574] : INFO : Epoch 148 | loss: 0.000190805 | val_loss: 0.000187546 | Time: 15954.4 ms [2020-11-10 11:06:43 main:574] : INFO : Epoch 149 | loss: 0.000184578 | val_loss: 0.000181599 | Time: 15938.7 ms [2020-11-10 11:06:59 main:574] : INFO : Epoch 150 | loss: 0.000178039 | val_loss: 0.000174464 | Time: 15959.4 ms [2020-11-10 11:07:15 main:574] : INFO : Epoch 151 | loss: 0.000172009 | val_loss: 0.000168069 | Time: 15819.9 ms [2020-11-10 11:07:31 main:574] : INFO : Epoch 152 | loss: 0.000166404 | val_loss: 0.000164906 | Time: 15824.1 ms [2020-11-10 11:07:46 main:574] : INFO : Epoch 153 | loss: 0.000160805 | val_loss: 0.000158269 | Time: 15792.9 ms [2020-11-10 11:08:02 main:574] : INFO : Epoch 154 | loss: 0.000156058 | val_loss: 0.000153772 | Time: 15920.3 ms [2020-11-10 11:08:18 main:574] : INFO : Epoch 155 | loss: 0.00015076 | val_loss: 0.000148599 | Time: 15851.4 ms [2020-11-10 11:08:34 main:574] : INFO : Epoch 156 | loss: 0.000146227 | val_loss: 0.000144155 | Time: 15868.4 ms [2020-11-10 11:08:50 main:574] : INFO : Epoch 157 | loss: 0.000141852 | val_loss: 0.000140004 | Time: 15610.7 ms [2020-11-10 11:09:06 main:574] : INFO : Epoch 158 | loss: 0.000137332 | val_loss: 0.000135487 | Time: 15717 ms [2020-11-10 11:09:21 main:574] : INFO : Epoch 159 | loss: 0.000133603 | val_loss: 0.000131879 | Time: 15884.9 ms [2020-11-10 11:09:37 main:574] : INFO : Epoch 160 | loss: 0.000129748 | val_loss: 0.000127637 | Time: 15953.2 ms [2020-11-10 11:09:53 main:574] : INFO : Epoch 161 | loss: 0.000125677 | val_loss: 0.000124411 | Time: 15724.1 ms [2020-11-10 11:10:09 main:574] : INFO : Epoch 162 | loss: 0.000122302 | val_loss: 0.000121081 | Time: 15715.2 ms [2020-11-10 11:10:25 main:574] : INFO : Epoch 163 | loss: 0.00011892 | val_loss: 0.00011772 | Time: 15838.5 ms [2020-11-10 11:10:41 main:574] : INFO : Epoch 164 | loss: 0.000115668 | val_loss: 0.000114106 | Time: 15827.4 ms [2020-11-10 11:10:57 main:574] : INFO : Epoch 165 | loss: 0.000112983 | val_loss: 0.000110479 | Time: 15817.5 ms [2020-11-10 11:11:13 main:574] : INFO : Epoch 166 | loss: 0.000109704 | val_loss: 0.000108822 | Time: 15891.3 ms [2020-11-10 11:11:29 main:574] : INFO : Epoch 167 | loss: 0.000107076 | val_loss: 0.000106434 | Time: 15892.3 ms [2020-11-10 11:11:44 main:574] : INFO : Epoch 168 | loss: 0.000104067 | val_loss: 0.000103946 | Time: 15864.9 ms [2020-11-10 11:12:00 main:574] : INFO : Epoch 169 | loss: 0.000101529 | val_loss: 9.939e-05 | Time: 15823.4 ms [2020-11-10 11:12:16 main:574] : INFO : Epoch 170 | loss: 9.92009e-05 | val_loss: 9.78722e-05 | Time: 15840.7 ms [2020-11-10 11:12:32 main:574] : INFO : Epoch 171 | loss: 9.65701e-05 | val_loss: 9.56138e-05 | Time: 15951.4 ms [2020-11-10 11:12:48 main:574] : INFO : Epoch 172 | loss: 9.48623e-05 | val_loss: 9.45101e-05 | Time: 16019.8 ms [2020-11-10 11:13:04 main:574] : INFO : Epoch 173 | loss: 9.24643e-05 | val_loss: 9.24119e-05 | Time: 15864.1 ms [2020-11-10 11:13:20 main:574] : INFO : Epoch 174 | loss: 9.01249e-05 | val_loss: 8.86715e-05 | Time: 15723.5 ms [2020-11-10 11:13:36 main:574] : INFO : Epoch 175 | loss: 8.81476e-05 | val_loss: 8.85286e-05 | Time: 15936.9 ms [2020-11-10 11:13:52 main:574] : INFO : Epoch 176 | loss: 8.6248e-05 | val_loss: 8.51236e-05 | Time: 15772.6 ms [2020-11-10 11:14:07 main:574] : INFO : Epoch 177 | loss: 8.48996e-05 | val_loss: 8.47718e-05 | Time: 15648.1 ms [2020-11-10 11:14:23 main:574] : INFO : Epoch 178 | loss: 8.24823e-05 | val_loss: 8.13821e-05 | Time: 15997.7 ms [2020-11-10 11:14:39 main:574] : INFO : Epoch 179 | loss: 8.04151e-05 | val_loss: 7.99803e-05 | Time: 15865.9 ms [2020-11-10 11:14:55 main:574] : INFO : Epoch 180 | loss: 7.89392e-05 | val_loss: 7.85155e-05 | Time: 15803.5 ms [2020-11-10 11:15:11 main:574] : INFO : Epoch 181 | loss: 7.7363e-05 | val_loss: 7.78651e-05 | Time: 15812.2 ms [2020-11-10 11:15:27 main:574] : INFO : Epoch 182 | loss: 7.5768e-05 | val_loss: 7.62638e-05 | Time: 15962.8 ms [2020-11-10 11:15:43 main:574] : INFO : Epoch 183 | loss: 7.41793e-05 | val_loss: 7.30829e-05 | Time: 15869.4 ms [2020-11-10 11:15:59 main:574] : INFO : Epoch 184 | loss: 7.26833e-05 | val_loss: 7.27464e-05 | Time: 15885.4 ms [2020-11-10 11:16:15 main:574] : INFO : Epoch 185 | loss: 7.12377e-05 | val_loss: 7.05975e-05 | Time: 15878.9 ms [2020-11-10 11:16:31 main:574] : INFO : Epoch 186 | loss: 7.02245e-05 | val_loss: 6.90932e-05 | Time: 15723.5 ms [2020-11-10 11:16:46 main:574] : INFO : Epoch 187 | loss: 6.89072e-05 | val_loss: 6.8686e-05 | Time: 15809 ms [2020-11-10 11:17:02 main:574] : INFO : Epoch 188 | loss: 6.75032e-05 | val_loss: 6.79173e-05 | Time: 15947.7 ms [2020-11-10 11:17:18 main:574] : INFO : Epoch 189 | loss: 6.65998e-05 | val_loss: 6.64819e-05 | Time: 15982.2 ms [2020-11-10 11:17:34 main:574] : INFO : Epoch 190 | loss: 6.51479e-05 | val_loss: 6.44691e-05 | Time: 15883.7 ms [2020-11-10 11:17:50 main:574] : INFO : Epoch 191 | loss: 6.44394e-05 | val_loss: 6.3857e-05 | Time: 15813.3 ms [2020-11-10 11:18:06 main:574] : INFO : Epoch 192 | loss: 6.29116e-05 | val_loss: 6.25866e-05 | Time: 15801.5 ms [2020-11-10 11:18:06 main:597] : INFO : Saving trained model to model-final.pt, val_loss 6.25866e-05 [2020-11-10 11:18:06 main:603] : INFO : Saving end state to config to file [2020-11-10 11:18:06 main:608] : INFO : Success, exiting.. 11:18:06 (10400): 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)