Task 2795828
| Name | rand_automata_0099-1604947424-19607-0_1 |
| Workunit | 1259299 |
| 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, 0:01:24 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 596 |
| Run time | 51 min 14 sec |
| CPU time | 49 min 49 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 00:10:03 main:435] : INFO : Set logging level to 1 [2020-11-10 00:10:03 main:441] : INFO : Running in BOINC Client mode [2020-11-10 00:10:03 main:444] : INFO : Resolving all filenames [2020-11-10 00:10:03 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0099-train-val-dataset.hdf5 (exists = 1) [2020-11-10 00:10:03 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0099-1604947424-19607-0_1_r1317119711_1 (exists = 0) [2020-11-10 00:10:03 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0099-1604947424-19607-0_1_r1317119711_0 (exists = 0) [2020-11-10 00:10:03 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-10 00:10:03 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-10 00:10:03 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0099-train-val-dataset.hdf5 [2020-11-10 00:10:03 main:474] : INFO : Configuration: [2020-11-10 00:10:03 main:475] : INFO : Model type: LSTM [2020-11-10 00:10:03 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-10 00:10:04 main:477] : INFO : Max Epochs: 192 [2020-11-10 00:10:04 main:478] : INFO : Batch Size: 32 [2020-11-10 00:10:04 main:479] : INFO : Learning Rate: 0.001 [2020-11-10 00:10:04 main:480] : INFO : Patience: 10 [2020-11-10 00:10:04 main:481] : INFO : Hidden Width: 64 [2020-11-10 00:10:04 main:482] : INFO : # Recurrent Layers: 4 [2020-11-10 00:10:04 main:483] : INFO : # Backend Layers: 2 [2020-11-10 00:10:04 main:484] : INFO : # Threads: 1 [2020-11-10 00:10:04 main:486] : INFO : Preparing Dataset [2020-11-10 00:10:04 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0099-train-val-dataset.hdf5 into memory [2020-11-10 00:10:04 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0099-train-val-dataset.hdf5 into memory [2020-11-10 00:10:10 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-10 00:10:10 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0099-train-val-dataset.hdf5 into memory [2020-11-10 00:10:11 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0099-train-val-dataset.hdf5 into memory [2020-11-10 00:10:11 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-10 00:10:11 main:494] : INFO : Creating Model [2020-11-10 00:10:11 main:507] : INFO : Preparing config file [2020-11-10 00:10:11 main:519] : INFO : Creating new config file [2020-11-10 00:10:16 main:559] : INFO : Loading DataLoader into Memory [2020-11-10 00:10:16 main:562] : INFO : Starting Training [2020-11-10 00:10:33 main:574] : INFO : Epoch 1 | loss: 0.0662404 | val_loss: 0.0658533 | Time: 17233.2 ms [2020-11-10 00:10:49 main:574] : INFO : Epoch 2 | loss: 0.0658231 | val_loss: 0.0656226 | Time: 15878 ms [2020-11-10 00:11:05 main:574] : INFO : Epoch 3 | loss: 0.063918 | val_loss: 0.0620757 | Time: 15735.1 ms [2020-11-10 00:11:21 main:574] : INFO : Epoch 4 | loss: 0.0604075 | val_loss: 0.0588613 | Time: 15953.2 ms [2020-11-10 00:11:37 main:574] : INFO : Epoch 5 | loss: 0.0573907 | val_loss: 0.0563477 | Time: 15764.6 ms [2020-11-10 00:11:53 main:574] : INFO : Epoch 6 | loss: 0.0553026 | val_loss: 0.0545937 | Time: 15723.5 ms [2020-11-10 00:12:09 main:574] : INFO : Epoch 7 | loss: 0.0537028 | val_loss: 0.0531059 | Time: 15854.5 ms [2020-11-10 00:12:24 main:574] : INFO : Epoch 8 | loss: 0.0523404 | val_loss: 0.0518612 | Time: 15723.6 ms [2020-11-10 00:12:40 main:574] : INFO : Epoch 9 | loss: 0.0510281 | val_loss: 0.0505635 | Time: 15930 ms [2020-11-10 00:12:56 main:574] : INFO : Epoch 10 | loss: 0.0496788 | val_loss: 0.0492785 | Time: 15898.4 ms [2020-11-10 00:13:12 main:574] : INFO : Epoch 11 | loss: 0.0483077 | val_loss: 0.0477989 | Time: 15865.1 ms [2020-11-10 00:13:28 main:574] : INFO : Epoch 12 | loss: 0.0466831 | val_loss: 0.04633 | Time: 15663.4 ms [2020-11-10 00:13:44 main:574] : INFO : Epoch 13 | loss: 0.0448995 | val_loss: 0.0445865 | Time: 15833.5 ms [2020-11-10 00:14:00 main:574] : INFO : Epoch 14 | loss: 0.0430739 | val_loss: 0.0430654 | Time: 15747.5 ms [2020-11-10 00:14:15 main:574] : INFO : Epoch 15 | loss: 0.0409038 | val_loss: 0.0406718 | Time: 15806.9 ms [2020-11-10 00:14:31 main:574] : INFO : Epoch 16 | loss: 0.0385327 | val_loss: 0.0383601 | Time: 15859.7 ms [2020-11-10 00:14:47 main:574] : INFO : Epoch 17 | loss: 0.0358892 | val_loss: 0.0361933 | Time: 15962.7 ms [2020-11-10 00:15:03 main:574] : INFO : Epoch 18 | loss: 0.0338991 | val_loss: 0.0332449 | Time: 15788.8 ms [2020-11-10 00:15:19 main:574] : INFO : Epoch 19 | loss: 0.0304254 | val_loss: 0.0306636 | Time: 15805.1 ms [2020-11-10 00:15:35 main:574] : INFO : Epoch 20 | loss: 0.0323052 | val_loss: 0.0457907 | Time: 15810.9 ms [2020-11-10 00:15:51 main:574] : INFO : Epoch 21 | loss: 0.0297961 | val_loss: 0.0268432 | Time: 16026.6 ms [2020-11-10 00:16:07 main:574] : INFO : Epoch 22 | loss: 0.0248915 | val_loss: 0.0283768 | Time: 15848.1 ms [2020-11-10 00:16:23 main:574] : INFO : Epoch 23 | loss: 0.0239787 | val_loss: 0.027887 | Time: 15931 ms [2020-11-10 00:16:39 main:574] : INFO : Epoch 24 | loss: 0.024953 | val_loss: 0.0270757 | Time: 15708.3 ms [2020-11-10 00:16:54 main:574] : INFO : Epoch 25 | loss: 0.0270769 | val_loss: 0.0307051 | Time: 15907.2 ms [2020-11-10 00:17:10 main:574] : INFO : Epoch 26 | loss: 0.0292072 | val_loss: 0.0196951 | Time: 15682.8 ms [2020-11-10 00:17:26 main:574] : INFO : Epoch 27 | loss: 0.0245579 | val_loss: 0.0170654 | Time: 15818.9 ms [2020-11-10 00:17:42 main:574] : INFO : Epoch 28 | loss: 0.0380858 | val_loss: 0.0491883 | Time: 15851.7 ms [2020-11-10 00:17:58 main:574] : INFO : Epoch 29 | loss: 0.0383726 | val_loss: 0.0281227 | Time: 15770.4 ms [2020-11-10 00:18:14 main:574] : INFO : Epoch 30 | loss: 0.0280646 | val_loss: 0.0200487 | Time: 15734.5 ms [2020-11-10 00:18:29 main:574] : INFO : Epoch 31 | loss: 0.0164317 | val_loss: 0.0160686 | Time: 15710.1 ms [2020-11-10 00:18:45 main:574] : INFO : Epoch 32 | loss: 0.0392146 | val_loss: 0.048575 | Time: 15990.6 ms [2020-11-10 00:19:01 main:574] : INFO : Epoch 33 | loss: 0.0320067 | val_loss: 0.0203423 | Time: 15893.5 ms [2020-11-10 00:19:17 main:574] : INFO : Epoch 34 | loss: 0.0208402 | val_loss: 0.0177058 | Time: 15755.1 ms [2020-11-10 00:19:33 main:574] : INFO : Epoch 35 | loss: 0.0225743 | val_loss: 0.0427841 | Time: 15883 ms [2020-11-10 00:19:49 main:574] : INFO : Epoch 36 | loss: 0.0234404 | val_loss: 0.0243549 | Time: 15957.3 ms [2020-11-10 00:20:05 main:574] : INFO : Epoch 37 | loss: 0.0152036 | val_loss: 0.012649 | Time: 15826.9 ms [2020-11-10 00:20:21 main:574] : INFO : Epoch 38 | loss: 0.0111376 | val_loss: 0.0114818 | Time: 15792.1 ms [2020-11-10 00:20:36 main:574] : INFO : Epoch 39 | loss: 0.0125224 | val_loss: 0.023645 | Time: 15717.8 ms [2020-11-10 00:20:52 main:574] : INFO : Epoch 40 | loss: 0.0122646 | val_loss: 0.0111674 | Time: 15841.8 ms [2020-11-10 00:21:08 main:574] : INFO : Epoch 41 | loss: 0.0100041 | val_loss: 0.0100637 | Time: 15689.6 ms [2020-11-10 00:21:24 main:574] : INFO : Epoch 42 | loss: 0.00940361 | val_loss: 0.0101071 | Time: 15688.7 ms [2020-11-10 00:21:40 main:574] : INFO : Epoch 43 | loss: 0.00900523 | val_loss: 0.00912156 | Time: 15799.5 ms [2020-11-10 00:21:55 main:574] : INFO : Epoch 44 | loss: 0.00845835 | val_loss: 0.00871064 | Time: 15824.2 ms [2020-11-10 00:22:11 main:574] : INFO : Epoch 45 | loss: 0.0111732 | val_loss: 0.0262816 | Time: 15676.6 ms [2020-11-10 00:22:27 main:574] : INFO : Epoch 46 | loss: 0.013613 | val_loss: 0.0117276 | Time: 15744.4 ms [2020-11-10 00:22:43 main:574] : INFO : Epoch 47 | loss: 0.00903876 | val_loss: 0.00880703 | Time: 15930.2 ms [2020-11-10 00:22:59 main:574] : INFO : Epoch 48 | loss: 0.00800011 | val_loss: 0.00824756 | Time: 15867 ms [2020-11-10 00:23:15 main:574] : INFO : Epoch 49 | loss: 0.00765334 | val_loss: 0.00794944 | Time: 15712.1 ms [2020-11-10 00:23:31 main:574] : INFO : Epoch 50 | loss: 0.0122371 | val_loss: 0.0161923 | Time: 16144.7 ms [2020-11-10 00:23:47 main:574] : INFO : Epoch 51 | loss: 0.0099624 | val_loss: 0.00904565 | Time: 15849.1 ms [2020-11-10 00:24:03 main:574] : INFO : Epoch 52 | loss: 0.00785451 | val_loss: 0.00780002 | Time: 15892.3 ms [2020-11-10 00:24:19 main:574] : INFO : Epoch 53 | loss: 0.00725059 | val_loss: 0.00723814 | Time: 15812.1 ms [2020-11-10 00:24:35 main:574] : INFO : Epoch 54 | loss: 0.00694842 | val_loss: 0.00700921 | Time: 15967 ms [2020-11-10 00:24:50 main:574] : INFO : Epoch 55 | loss: 0.00675142 | val_loss: 0.00685547 | Time: 15788.8 ms [2020-11-10 00:25:06 main:574] : INFO : Epoch 56 | loss: 0.00655152 | val_loss: 0.00665721 | Time: 15833.9 ms [2020-11-10 00:25:22 main:574] : INFO : Epoch 57 | loss: 0.00633335 | val_loss: 0.00646412 | Time: 15779.2 ms [2020-11-10 00:25:38 main:574] : INFO : Epoch 58 | loss: 0.00615751 | val_loss: 0.00629051 | Time: 15749.6 ms [2020-11-10 00:25:54 main:574] : INFO : Epoch 59 | loss: 0.00599648 | val_loss: 0.00611453 | Time: 15734.7 ms [2020-11-10 00:26:10 main:574] : INFO : Epoch 60 | loss: 0.00583951 | val_loss: 0.00594181 | Time: 15831.3 ms [2020-11-10 00:26:25 main:574] : INFO : Epoch 61 | loss: 0.00569163 | val_loss: 0.00577134 | Time: 15668.1 ms [2020-11-10 00:26:41 main:574] : INFO : Epoch 62 | loss: 0.00553383 | val_loss: 0.00561516 | Time: 15866.3 ms [2020-11-10 00:26:57 main:574] : INFO : Epoch 63 | loss: 0.00538799 | val_loss: 0.0054529 | Time: 15995.5 ms [2020-11-10 00:27:13 main:574] : INFO : Epoch 64 | loss: 0.00524609 | val_loss: 0.00530888 | Time: 15765.4 ms [2020-11-10 00:27:29 main:574] : INFO : Epoch 65 | loss: 0.0051094 | val_loss: 0.00511321 | Time: 15788.5 ms [2020-11-10 00:27:45 main:574] : INFO : Epoch 66 | loss: 0.0049608 | val_loss: 0.00496568 | Time: 15843.4 ms [2020-11-10 00:28:01 main:574] : INFO : Epoch 67 | loss: 0.00482287 | val_loss: 0.00482805 | Time: 16031.2 ms [2020-11-10 00:28:17 main:574] : INFO : Epoch 68 | loss: 0.00469209 | val_loss: 0.00465135 | Time: 16031 ms [2020-11-10 00:28:33 main:574] : INFO : Epoch 69 | loss: 0.00455798 | val_loss: 0.00451498 | Time: 15950.6 ms [2020-11-10 00:28:49 main:574] : INFO : Epoch 70 | loss: 0.00442639 | val_loss: 0.00438097 | Time: 15785.7 ms [2020-11-10 00:29:05 main:574] : INFO : Epoch 71 | loss: 0.00430811 | val_loss: 0.00425188 | Time: 15937.9 ms [2020-11-10 00:29:21 main:574] : INFO : Epoch 72 | loss: 0.0041581 | val_loss: 0.00411915 | Time: 15781.8 ms [2020-11-10 00:29:36 main:574] : INFO : Epoch 73 | loss: 0.00403048 | val_loss: 0.00399562 | Time: 15815.3 ms [2020-11-10 00:29:52 main:574] : INFO : Epoch 74 | loss: 0.00390654 | val_loss: 0.0038712 | Time: 15852.6 ms [2020-11-10 00:30:08 main:574] : INFO : Epoch 75 | loss: 0.00378464 | val_loss: 0.00374726 | Time: 15782.5 ms [2020-11-10 00:30:24 main:574] : INFO : Epoch 76 | loss: 0.00366529 | val_loss: 0.00363195 | Time: 15581.7 ms [2020-11-10 00:30:39 main:574] : INFO : Epoch 77 | loss: 0.00354889 | val_loss: 0.00351333 | Time: 15600.5 ms [2020-11-10 00:30:55 main:574] : INFO : Epoch 78 | loss: 0.00343384 | val_loss: 0.00339878 | Time: 15854.1 ms [2020-11-10 00:31:11 main:574] : INFO : Epoch 79 | loss: 0.0033218 | val_loss: 0.00328773 | Time: 15760.9 ms [2020-11-10 00:31:27 main:574] : INFO : Epoch 80 | loss: 0.00321222 | val_loss: 0.00317838 | Time: 15888.6 ms [2020-11-10 00:31:43 main:574] : INFO : Epoch 81 | loss: 0.00310465 | val_loss: 0.00307087 | Time: 15875.2 ms [2020-11-10 00:31:59 main:574] : INFO : Epoch 82 | loss: 0.00300005 | val_loss: 0.00296391 | Time: 15865.5 ms [2020-11-10 00:32:15 main:574] : INFO : Epoch 83 | loss: 0.00289694 | val_loss: 0.00286566 | Time: 15914.5 ms [2020-11-10 00:32:31 main:574] : INFO : Epoch 84 | loss: 0.00279823 | val_loss: 0.00276763 | Time: 15971.6 ms [2020-11-10 00:32:47 main:574] : INFO : Epoch 85 | loss: 0.0027008 | val_loss: 0.00266972 | Time: 15886.5 ms [2020-11-10 00:33:02 main:574] : INFO : Epoch 86 | loss: 0.00260617 | val_loss: 0.00257489 | Time: 15653.7 ms [2020-11-10 00:33:18 main:574] : INFO : Epoch 87 | loss: 0.00251329 | val_loss: 0.0024836 | Time: 15805.8 ms [2020-11-10 00:33:34 main:574] : INFO : Epoch 88 | loss: 0.00242357 | val_loss: 0.0023951 | Time: 15770.7 ms [2020-11-10 00:33:50 main:574] : INFO : Epoch 89 | loss: 0.00233692 | val_loss: 0.00230794 | Time: 15942.2 ms [2020-11-10 00:34:06 main:574] : INFO : Epoch 90 | loss: 0.00225191 | val_loss: 0.00222825 | Time: 15774.1 ms [2020-11-10 00:34:22 main:574] : INFO : Epoch 91 | loss: 0.00217097 | val_loss: 0.00214427 | Time: 15864.4 ms [2020-11-10 00:34:37 main:574] : INFO : Epoch 92 | loss: 0.00209125 | val_loss: 0.00206712 | Time: 15508.7 ms [2020-11-10 00:34:53 main:574] : INFO : Epoch 93 | loss: 0.00201365 | val_loss: 0.00199171 | Time: 15934.8 ms [2020-11-10 00:35:09 main:574] : INFO : Epoch 94 | loss: 0.00193859 | val_loss: 0.00191194 | Time: 15715.1 ms [2020-11-10 00:35:25 main:574] : INFO : Epoch 95 | loss: 0.00186563 | val_loss: 0.00184164 | Time: 15830.6 ms [2020-11-10 00:35:41 main:574] : INFO : Epoch 96 | loss: 0.00179457 | val_loss: 0.00177227 | Time: 15863.4 ms [2020-11-10 00:35:57 main:574] : INFO : Epoch 97 | loss: 0.00172651 | val_loss: 0.00170591 | Time: 16046.9 ms [2020-11-10 00:36:13 main:574] : INFO : Epoch 98 | loss: 0.00165973 | val_loss: 0.00163881 | Time: 15896.3 ms [2020-11-10 00:36:29 main:574] : INFO : Epoch 99 | loss: 0.00159555 | val_loss: 0.00157499 | Time: 15875.1 ms [2020-11-10 00:36:45 main:574] : INFO : Epoch 100 | loss: 0.00153342 | val_loss: 0.00151241 | Time: 15687.2 ms [2020-11-10 00:37:00 main:574] : INFO : Epoch 101 | loss: 0.00147415 | val_loss: 0.00145127 | Time: 15842.2 ms [2020-11-10 00:37:16 main:574] : INFO : Epoch 102 | loss: 0.00141569 | val_loss: 0.00139729 | Time: 16059.5 ms [2020-11-10 00:37:32 main:574] : INFO : Epoch 103 | loss: 0.00136015 | val_loss: 0.00134001 | Time: 15650.1 ms [2020-11-10 00:37:48 main:574] : INFO : Epoch 104 | loss: 0.00130631 | val_loss: 0.00128929 | Time: 15756.9 ms [2020-11-10 00:38:04 main:574] : INFO : Epoch 105 | loss: 0.00125441 | val_loss: 0.00123503 | Time: 15883 ms [2020-11-10 00:38:20 main:574] : INFO : Epoch 106 | loss: 0.00120485 | val_loss: 0.00118595 | Time: 15782.8 ms [2020-11-10 00:38:36 main:574] : INFO : Epoch 107 | loss: 0.00115678 | val_loss: 0.00113812 | Time: 15825.3 ms [2020-11-10 00:38:51 main:574] : INFO : Epoch 108 | loss: 0.0011114 | val_loss: 0.00109519 | Time: 15827.3 ms [2020-11-10 00:39:07 main:574] : INFO : Epoch 109 | loss: 0.00106692 | val_loss: 0.0010499 | Time: 15783.4 ms [2020-11-10 00:39:23 main:574] : INFO : Epoch 110 | loss: 0.00102489 | val_loss: 0.00100855 | Time: 15907.2 ms [2020-11-10 00:39:39 main:574] : INFO : Epoch 111 | loss: 0.000982763 | val_loss: 0.000964981 | Time: 15874.1 ms [2020-11-10 00:39:55 main:574] : INFO : Epoch 112 | loss: 0.000944207 | val_loss: 0.000928797 | Time: 15911.2 ms [2020-11-10 00:40:11 main:574] : INFO : Epoch 113 | loss: 0.000907039 | val_loss: 0.00089016 | Time: 15857.9 ms [2020-11-10 00:40:27 main:574] : INFO : Epoch 114 | loss: 0.000870454 | val_loss: 0.000855323 | Time: 15798 ms [2020-11-10 00:40:43 main:574] : INFO : Epoch 115 | loss: 0.000835968 | val_loss: 0.000820984 | Time: 15948 ms [2020-11-10 00:40:59 main:574] : INFO : Epoch 116 | loss: 0.000803209 | val_loss: 0.000790391 | Time: 15897.4 ms [2020-11-10 00:41:15 main:574] : INFO : Epoch 117 | loss: 0.000772531 | val_loss: 0.000757499 | Time: 15843.3 ms [2020-11-10 00:41:31 main:574] : INFO : Epoch 118 | loss: 0.00074127 | val_loss: 0.000726785 | Time: 15895.7 ms [2020-11-10 00:41:46 main:574] : INFO : Epoch 119 | loss: 0.000714389 | val_loss: 0.000700739 | Time: 15844.6 ms [2020-11-10 00:42:02 main:574] : INFO : Epoch 120 | loss: 0.000686375 | val_loss: 0.000676287 | Time: 15852.2 ms [2020-11-10 00:42:18 main:574] : INFO : Epoch 121 | loss: 0.000660648 | val_loss: 0.000649628 | Time: 15707.1 ms [2020-11-10 00:42:34 main:574] : INFO : Epoch 122 | loss: 0.000635228 | val_loss: 0.000623906 | Time: 15989.2 ms [2020-11-10 00:42:50 main:574] : INFO : Epoch 123 | loss: 0.00061134 | val_loss: 0.000602636 | Time: 15671.2 ms [2020-11-10 00:43:06 main:574] : INFO : Epoch 124 | loss: 0.000590196 | val_loss: 0.000580542 | Time: 15973.8 ms [2020-11-10 00:43:22 main:574] : INFO : Epoch 125 | loss: 0.000569337 | val_loss: 0.000559581 | Time: 15933.7 ms [2020-11-10 00:43:37 main:574] : INFO : Epoch 126 | loss: 0.000548298 | val_loss: 0.000541515 | Time: 15556.2 ms [2020-11-10 00:43:53 main:574] : INFO : Epoch 127 | loss: 0.000529489 | val_loss: 0.000522089 | Time: 15957.1 ms [2020-11-10 00:44:09 main:574] : INFO : Epoch 128 | loss: 0.000510793 | val_loss: 0.000500812 | Time: 15800.6 ms [2020-11-10 00:44:25 main:574] : INFO : Epoch 129 | loss: 0.000492415 | val_loss: 0.00048452 | Time: 15835.9 ms [2020-11-10 00:44:41 main:574] : INFO : Epoch 130 | loss: 0.000475887 | val_loss: 0.000468955 | Time: 15901.7 ms [2020-11-10 00:44:57 main:574] : INFO : Epoch 131 | loss: 0.000459988 | val_loss: 0.000455124 | Time: 15710.6 ms [2020-11-10 00:45:13 main:574] : INFO : Epoch 132 | loss: 0.000445259 | val_loss: 0.000440158 | Time: 15776.7 ms [2020-11-10 00:45:29 main:574] : INFO : Epoch 133 | loss: 0.00043029 | val_loss: 0.000421785 | Time: 15768.1 ms [2020-11-10 00:45:44 main:574] : INFO : Epoch 134 | loss: 0.000416187 | val_loss: 0.000408187 | Time: 15804.6 ms [2020-11-10 00:46:00 main:574] : INFO : Epoch 135 | loss: 0.000402534 | val_loss: 0.000395727 | Time: 15928.5 ms [2020-11-10 00:46:16 main:574] : INFO : Epoch 136 | loss: 0.00038972 | val_loss: 0.000386348 | Time: 15838.5 ms [2020-11-10 00:46:32 main:574] : INFO : Epoch 137 | loss: 0.000377187 | val_loss: 0.000370137 | Time: 15950.9 ms [2020-11-10 00:46:48 main:574] : INFO : Epoch 138 | loss: 0.000366087 | val_loss: 0.000361206 | Time: 15533.8 ms [2020-11-10 00:47:04 main:574] : INFO : Epoch 139 | loss: 0.000354542 | val_loss: 0.000348348 | Time: 15871.4 ms [2020-11-10 00:47:20 main:574] : INFO : Epoch 140 | loss: 0.000344242 | val_loss: 0.000339674 | Time: 15861.2 ms [2020-11-10 00:47:36 main:574] : INFO : Epoch 141 | loss: 0.000333903 | val_loss: 0.000328054 | Time: 15948.8 ms [2020-11-10 00:47:52 main:574] : INFO : Epoch 142 | loss: 0.000323397 | val_loss: 0.000318658 | Time: 15933.6 ms [2020-11-10 00:48:08 main:574] : INFO : Epoch 143 | loss: 0.000313157 | val_loss: 0.000308316 | Time: 15951.8 ms [2020-11-10 00:48:24 main:574] : INFO : Epoch 144 | loss: 0.000304547 | val_loss: 0.000300291 | Time: 15870.2 ms [2020-11-10 00:48:39 main:574] : INFO : Epoch 145 | loss: 0.00029606 | val_loss: 0.000291871 | Time: 15780.9 ms [2020-11-10 00:48:55 main:574] : INFO : Epoch 146 | loss: 0.000288185 | val_loss: 0.000283744 | Time: 15948.2 ms [2020-11-10 00:49:11 main:574] : INFO : Epoch 147 | loss: 0.000281112 | val_loss: 0.000275681 | Time: 15924.1 ms [2020-11-10 00:49:27 main:574] : INFO : Epoch 148 | loss: 0.000272481 | val_loss: 0.000267422 | Time: 15815.4 ms [2020-11-10 00:49:43 main:574] : INFO : Epoch 149 | loss: 0.000265339 | val_loss: 0.000262331 | Time: 15619.6 ms [2020-11-10 00:49:59 main:574] : INFO : Epoch 150 | loss: 0.000258511 | val_loss: 0.000255648 | Time: 15970.4 ms [2020-11-10 00:50:15 main:574] : INFO : Epoch 151 | loss: 0.000252339 | val_loss: 0.000250663 | Time: 15839.4 ms [2020-11-10 00:50:31 main:574] : INFO : Epoch 152 | loss: 0.000245939 | val_loss: 0.000242808 | Time: 15884.2 ms [2020-11-10 00:50:46 main:574] : INFO : Epoch 153 | loss: 0.000240389 | val_loss: 0.000237897 | Time: 15589.6 ms [2020-11-10 00:51:02 main:574] : INFO : Epoch 154 | loss: 0.000234384 | val_loss: 0.000229856 | Time: 15947.3 ms [2020-11-10 00:51:18 main:574] : INFO : Epoch 155 | loss: 0.000228948 | val_loss: 0.000226347 | Time: 15794.6 ms [2020-11-10 00:51:34 main:574] : INFO : Epoch 156 | loss: 0.00022353 | val_loss: 0.000220976 | Time: 15829.1 ms [2020-11-10 00:51:50 main:574] : INFO : Epoch 157 | loss: 0.000218392 | val_loss: 0.00021655 | Time: 15825.3 ms [2020-11-10 00:52:06 main:574] : INFO : Epoch 158 | loss: 0.000213111 | val_loss: 0.000212493 | Time: 15966.5 ms [2020-11-10 00:52:22 main:574] : INFO : Epoch 159 | loss: 0.000208944 | val_loss: 0.000207457 | Time: 15776.4 ms [2020-11-10 00:52:38 main:574] : INFO : Epoch 160 | loss: 0.000204067 | val_loss: 0.000202146 | Time: 15966.6 ms [2020-11-10 00:52:54 main:574] : INFO : Epoch 161 | loss: 0.000200276 | val_loss: 0.000199038 | Time: 15826.2 ms [2020-11-10 00:53:10 main:574] : INFO : Epoch 162 | loss: 0.000195717 | val_loss: 0.000196191 | Time: 15901.9 ms [2020-11-10 00:53:25 main:574] : INFO : Epoch 163 | loss: 0.000191663 | val_loss: 0.000190202 | Time: 15813.8 ms [2020-11-10 00:53:41 main:574] : INFO : Epoch 164 | loss: 0.000187654 | val_loss: 0.000186603 | Time: 15913.2 ms [2020-11-10 00:53:57 main:574] : INFO : Epoch 165 | loss: 0.000184132 | val_loss: 0.000181689 | Time: 15597 ms [2020-11-10 00:54:13 main:574] : INFO : Epoch 166 | loss: 0.000180496 | val_loss: 0.000179736 | Time: 15869.2 ms [2020-11-10 00:54:29 main:574] : INFO : Epoch 167 | loss: 0.00017715 | val_loss: 0.000175902 | Time: 15732.2 ms [2020-11-10 00:54:45 main:574] : INFO : Epoch 168 | loss: 0.000173456 | val_loss: 0.000172692 | Time: 15798.5 ms [2020-11-10 00:55:00 main:574] : INFO : Epoch 169 | loss: 0.000170699 | val_loss: 0.000168766 | Time: 15833.8 ms [2020-11-10 00:55:16 main:574] : INFO : Epoch 170 | loss: 0.000166711 | val_loss: 0.00016821 | Time: 15884.6 ms [2020-11-10 00:55:32 main:574] : INFO : Epoch 171 | loss: 0.000163992 | val_loss: 0.000161935 | Time: 15888.5 ms [2020-11-10 00:55:48 main:574] : INFO : Epoch 172 | loss: 0.000160806 | val_loss: 0.000159823 | Time: 15763.2 ms [2020-11-10 00:56:04 main:574] : INFO : Epoch 173 | loss: 0.000158148 | val_loss: 0.000156595 | Time: 15923.1 ms [2020-11-10 00:56:20 main:574] : INFO : Epoch 174 | loss: 0.000155296 | val_loss: 0.0001535 | Time: 15848.6 ms [2020-11-10 00:56:36 main:574] : INFO : Epoch 175 | loss: 0.000152261 | val_loss: 0.000151058 | Time: 15827.9 ms [2020-11-10 00:56:52 main:574] : INFO : Epoch 176 | loss: 0.000149881 | val_loss: 0.000148595 | Time: 15911.4 ms [2020-11-10 00:57:08 main:574] : INFO : Epoch 177 | loss: 0.000147301 | val_loss: 0.000146581 | Time: 15933.2 ms [2020-11-10 00:57:24 main:574] : INFO : Epoch 178 | loss: 0.000144995 | val_loss: 0.000144672 | Time: 15963.4 ms [2020-11-10 00:57:39 main:574] : INFO : Epoch 179 | loss: 0.00014251 | val_loss: 0.000141649 | Time: 15670.2 ms [2020-11-10 00:57:55 main:574] : INFO : Epoch 180 | loss: 0.000139916 | val_loss: 0.000138782 | Time: 15769.3 ms [2020-11-10 00:58:11 main:574] : INFO : Epoch 181 | loss: 0.00013778 | val_loss: 0.000137383 | Time: 15888.9 ms [2020-11-10 00:58:27 main:574] : INFO : Epoch 182 | loss: 0.000135679 | val_loss: 0.000134121 | Time: 15860.3 ms [2020-11-10 00:58:43 main:574] : INFO : Epoch 183 | loss: 0.000133436 | val_loss: 0.000133312 | Time: 15722.7 ms [2020-11-10 00:58:59 main:574] : INFO : Epoch 184 | loss: 0.000131866 | val_loss: 0.000132499 | Time: 15762.9 ms [2020-11-10 00:59:15 main:574] : INFO : Epoch 185 | loss: 0.000129693 | val_loss: 0.000127976 | Time: 15765.1 ms [2020-11-10 00:59:31 main:574] : INFO : Epoch 186 | loss: 0.000127715 | val_loss: 0.000126608 | Time: 15917.1 ms [2020-11-10 00:59:46 main:574] : INFO : Epoch 187 | loss: 0.000125866 | val_loss: 0.00012486 | Time: 15893.8 ms [2020-11-10 01:00:02 main:574] : INFO : Epoch 188 | loss: 0.000123404 | val_loss: 0.000123307 | Time: 15825.9 ms [2020-11-10 01:00:18 main:574] : INFO : Epoch 189 | loss: 0.000121871 | val_loss: 0.0001215 | Time: 15786.5 ms [2020-11-10 01:00:34 main:574] : INFO : Epoch 190 | loss: 0.000119891 | val_loss: 0.000120666 | Time: 15960.4 ms [2020-11-10 01:00:50 main:574] : INFO : Epoch 191 | loss: 0.00011833 | val_loss: 0.000118018 | Time: 15942.2 ms [2020-11-10 01:01:06 main:574] : INFO : Epoch 192 | loss: 0.000116756 | val_loss: 0.000116856 | Time: 15839.9 ms [2020-11-10 01:01:06 main:597] : INFO : Saving trained model to model-final.pt, val_loss 0.000116856 [2020-11-10 01:01:06 main:603] : INFO : Saving end state to config to file [2020-11-10 01:01:06 main:608] : INFO : Success, exiting.. 01:01:06 (9512): 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)