| Name | rand_automata_0002-1604984804-32266-0_1 |
| Workunit | 1264351 |
| Created | 10 Nov 2020, 5:33:19 UTC |
| Sent | 10 Nov 2020, 6:02:35 UTC |
| Report deadline | 11 Nov 2020, 4:32:35 UTC |
| Received | 10 Nov 2020, 18:40:23 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 563 |
| Run time | 22 min 36 sec |
| CPU time | 22 min 3 sec |
| Validate state | Valid |
| Credit | 959.40 |
| Device peak FLOPS | 5,442.60 GFLOPS |
| Application version | Machine Learning Dataset Generator (test) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 1.95 GB |
| Peak swap size | 3.88 GB |
| Peak disk usage | 1.54 GB |
<core_client_version>7.16.5</core_client_version> <![CDATA[ <stderr_txt> Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: GeForce GTX 1660 Ti) [2020-11-10 19:17:38 main:435] : INFO : Set logging level to 1 [2020-11-10 19:17:38 main:441] : INFO : Running in BOINC Client mode [2020-11-10 19:17:38 main:444] : INFO : Resolving all filenames [2020-11-10 19:17:38 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0002-train-val-dataset.hdf5 (exists = 1) [2020-11-10 19:17:38 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0002-1604984804-32266-0_1_r1907317864_1 (exists = 0) [2020-11-10 19:17:38 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0002-1604984804-32266-0_1_r1907317864_0 (exists = 0) [2020-11-10 19:17:38 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-10 19:17:39 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-10 19:17:39 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0002-train-val-dataset.hdf5 [2020-11-10 19:17:39 main:474] : INFO : Configuration: [2020-11-10 19:17:39 main:475] : INFO : Model type: LSTM [2020-11-10 19:17:39 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-10 19:17:39 main:477] : INFO : Max Epochs: 192 [2020-11-10 19:17:39 main:478] : INFO : Batch Size: 32 [2020-11-10 19:17:39 main:479] : INFO : Learning Rate: 0.001 [2020-11-10 19:17:39 main:480] : INFO : Patience: 10 [2020-11-10 19:17:39 main:481] : INFO : Hidden Width: 64 [2020-11-10 19:17:39 main:482] : INFO : # Recurrent Layers: 4 [2020-11-10 19:17:39 main:483] : INFO : # Backend Layers: 2 [2020-11-10 19:17:39 main:484] : INFO : # Threads: 1 [2020-11-10 19:17:39 main:486] : INFO : Preparing Dataset [2020-11-10 19:17:39 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0002-train-val-dataset.hdf5 into memory [2020-11-10 19:17:39 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0002-train-val-dataset.hdf5 into memory [2020-11-10 19:17:41 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-10 19:17:41 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0002-train-val-dataset.hdf5 into memory [2020-11-10 19:17:41 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0002-train-val-dataset.hdf5 into memory [2020-11-10 19:17:41 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-10 19:17:41 main:494] : INFO : Creating Model [2020-11-10 19:17:41 main:507] : INFO : Preparing config file [2020-11-10 19:17:41 main:519] : INFO : Creating new config file [2020-11-10 19:17:43 main:559] : INFO : Loading DataLoader into Memory [2020-11-10 19:17:43 main:562] : INFO : Starting Training [2020-11-10 19:17:50 main:574] : INFO : Epoch 1 | loss: 0.0661707 | val_loss: 0.0657818 | Time: 7255.35 ms [2020-11-10 19:17:57 main:574] : INFO : Epoch 2 | loss: 0.0652235 | val_loss: 0.0638115 | Time: 6954.16 ms [2020-11-10 19:18:04 main:574] : INFO : Epoch 3 | loss: 0.0618886 | val_loss: 0.0600013 | Time: 7016.58 ms [2020-11-10 19:18:11 main:574] : INFO : Epoch 4 | loss: 0.0582373 | val_loss: 0.0568093 | Time: 6984.49 ms [2020-11-10 19:18:18 main:574] : INFO : Epoch 5 | loss: 0.055753 | val_loss: 0.0549442 | Time: 6953.48 ms [2020-11-10 19:18:25 main:574] : INFO : Epoch 6 | loss: 0.0541964 | val_loss: 0.0536146 | Time: 6879.78 ms [2020-11-10 19:18:32 main:574] : INFO : Epoch 7 | loss: 0.0528555 | val_loss: 0.0524233 | Time: 6873.64 ms [2020-11-10 19:18:39 main:574] : INFO : Epoch 8 | loss: 0.0516606 | val_loss: 0.0512497 | Time: 6956.48 ms [2020-11-10 19:18:46 main:574] : INFO : Epoch 9 | loss: 0.0504148 | val_loss: 0.0500445 | Time: 6956.96 ms [2020-11-10 19:18:53 main:574] : INFO : Epoch 10 | loss: 0.04919 | val_loss: 0.0487914 | Time: 6962.23 ms [2020-11-10 19:19:00 main:574] : INFO : Epoch 11 | loss: 0.047838 | val_loss: 0.0475751 | Time: 7036.06 ms [2020-11-10 19:19:07 main:574] : INFO : Epoch 12 | loss: 0.046374 | val_loss: 0.0459212 | Time: 6783.18 ms [2020-11-10 19:19:14 main:574] : INFO : Epoch 13 | loss: 0.0447386 | val_loss: 0.0443917 | Time: 6914.42 ms [2020-11-10 19:19:21 main:574] : INFO : Epoch 14 | loss: 0.043024 | val_loss: 0.0429037 | Time: 6829.63 ms [2020-11-10 19:19:28 main:574] : INFO : Epoch 15 | loss: 0.040993 | val_loss: 0.0407677 | Time: 6792.47 ms [2020-11-10 19:19:35 main:574] : INFO : Epoch 16 | loss: 0.0387747 | val_loss: 0.0383776 | Time: 6854.52 ms [2020-11-10 19:19:42 main:574] : INFO : Epoch 17 | loss: 0.0361468 | val_loss: 0.0362001 | Time: 6909.77 ms [2020-11-10 19:19:49 main:574] : INFO : Epoch 18 | loss: 0.033574 | val_loss: 0.0335902 | Time: 6924.2 ms [2020-11-10 19:19:56 main:574] : INFO : Epoch 19 | loss: 0.0310824 | val_loss: 0.0307549 | Time: 7034.98 ms [2020-11-10 19:20:03 main:574] : INFO : Epoch 20 | loss: 0.028564 | val_loss: 0.0284177 | Time: 6948.97 ms [2020-11-10 19:20:10 main:574] : INFO : Epoch 21 | loss: 0.0259973 | val_loss: 0.026552 | Time: 6954.33 ms [2020-11-10 19:20:17 main:574] : INFO : Epoch 22 | loss: 0.0357384 | val_loss: 0.0425668 | Time: 6910.89 ms [2020-11-10 19:20:24 main:574] : INFO : Epoch 23 | loss: 0.0256695 | val_loss: 0.0275198 | Time: 6811.64 ms [2020-11-10 19:20:31 main:574] : INFO : Epoch 24 | loss: 0.0213687 | val_loss: 0.0198271 | Time: 6992 ms [2020-11-10 19:20:38 main:574] : INFO : Epoch 25 | loss: 0.0186934 | val_loss: 0.0162201 | Time: 6936.6 ms [2020-11-10 19:20:45 main:574] : INFO : Epoch 26 | loss: 0.0166524 | val_loss: 0.019145 | Time: 6871.77 ms [2020-11-10 19:20:51 main:574] : INFO : Epoch 27 | loss: 0.0173175 | val_loss: 0.034518 | Time: 6829.7 ms [2020-11-10 19:20:58 main:574] : INFO : Epoch 28 | loss: 0.0317434 | val_loss: 0.0382743 | Time: 6863.61 ms [2020-11-10 19:21:05 main:574] : INFO : Epoch 29 | loss: 0.0265281 | val_loss: 0.0147464 | Time: 6884.39 ms [2020-11-10 19:21:12 main:574] : INFO : Epoch 30 | loss: 0.0146619 | val_loss: 0.037768 | Time: 6873.78 ms [2020-11-10 19:21:19 main:574] : INFO : Epoch 31 | loss: 0.0185681 | val_loss: 0.0144573 | Time: 6912.71 ms [2020-11-10 19:21:26 main:574] : INFO : Epoch 32 | loss: 0.0137205 | val_loss: 0.0122936 | Time: 6936.83 ms [2020-11-10 19:21:33 main:574] : INFO : Epoch 33 | loss: 0.0301513 | val_loss: 0.0577159 | Time: 6953.2 ms [2020-11-10 19:21:40 main:574] : INFO : Epoch 34 | loss: 0.0543768 | val_loss: 0.0497686 | Time: 6853.03 ms [2020-11-10 19:21:47 main:574] : INFO : Epoch 35 | loss: 0.0372948 | val_loss: 0.0209643 | Time: 6861.62 ms [2020-11-10 19:21:54 main:574] : INFO : Epoch 36 | loss: 0.0344951 | val_loss: 0.0537848 | Time: 6896.21 ms [2020-11-10 19:22:01 main:574] : INFO : Epoch 37 | loss: 0.0448857 | val_loss: 0.0311242 | Time: 6903.49 ms [2020-11-10 19:22:08 main:574] : INFO : Epoch 38 | loss: 0.0183888 | val_loss: 0.0137183 | Time: 6827.71 ms [2020-11-10 19:22:15 main:574] : INFO : Epoch 39 | loss: 0.0153471 | val_loss: 0.0555749 | Time: 6941.63 ms [2020-11-10 19:22:22 main:574] : INFO : Epoch 40 | loss: 0.0435288 | val_loss: 0.0227172 | Time: 6942.13 ms [2020-11-10 19:22:29 main:574] : INFO : Epoch 41 | loss: 0.0151884 | val_loss: 0.0124758 | Time: 6890.56 ms [2020-11-10 19:22:36 main:574] : INFO : Epoch 42 | loss: 0.010495 | val_loss: 0.0100687 | Time: 6913.93 ms [2020-11-10 19:22:42 main:574] : INFO : Epoch 43 | loss: 0.00950465 | val_loss: 0.00952335 | Time: 6856.98 ms [2020-11-10 19:22:49 main:574] : INFO : Epoch 44 | loss: 0.00875645 | val_loss: 0.0087938 | Time: 6901.06 ms [2020-11-10 19:22:56 main:574] : INFO : Epoch 45 | loss: 0.00833576 | val_loss: 0.00855328 | Time: 6920.67 ms [2020-11-10 19:23:03 main:574] : INFO : Epoch 46 | loss: 0.00798446 | val_loss: 0.00809745 | Time: 6888.51 ms [2020-11-10 19:23:10 main:574] : INFO : Epoch 47 | loss: 0.00767871 | val_loss: 0.00784954 | Time: 7041.19 ms [2020-11-10 19:23:17 main:574] : INFO : Epoch 48 | loss: 0.00742638 | val_loss: 0.00760694 | Time: 7020.06 ms [2020-11-10 19:23:24 main:574] : INFO : Epoch 49 | loss: 0.00719155 | val_loss: 0.0073463 | Time: 7043.99 ms [2020-11-10 19:23:31 main:574] : INFO : Epoch 50 | loss: 0.00700038 | val_loss: 0.00712784 | Time: 6969.41 ms [2020-11-10 19:23:38 main:574] : INFO : Epoch 51 | loss: 0.00679347 | val_loss: 0.00695018 | Time: 6921.15 ms [2020-11-10 19:23:45 main:574] : INFO : Epoch 52 | loss: 0.00659598 | val_loss: 0.00674185 | Time: 6807.66 ms [2020-11-10 19:23:52 main:574] : INFO : Epoch 53 | loss: 0.00640967 | val_loss: 0.00655249 | Time: 6881.74 ms [2020-11-10 19:23:59 main:574] : INFO : Epoch 54 | loss: 0.00622959 | val_loss: 0.00636658 | Time: 6984.87 ms [2020-11-10 19:24:06 main:574] : INFO : Epoch 55 | loss: 0.00621402 | val_loss: 0.00676408 | Time: 6834.72 ms [2020-11-10 19:24:13 main:574] : INFO : Epoch 56 | loss: 0.00610608 | val_loss: 0.00603987 | Time: 6922.29 ms [2020-11-10 19:24:20 main:574] : INFO : Epoch 57 | loss: 0.00574418 | val_loss: 0.00583852 | Time: 6930.77 ms [2020-11-10 19:24:27 main:574] : INFO : Epoch 58 | loss: 0.00555394 | val_loss: 0.00567261 | Time: 6962.02 ms [2020-11-10 19:24:34 main:574] : INFO : Epoch 59 | loss: 0.0192665 | val_loss: 0.0100196 | Time: 6932.8 ms [2020-11-10 19:24:41 main:574] : INFO : Epoch 60 | loss: 0.0111408 | val_loss: 0.00687167 | Time: 6980.26 ms [2020-11-10 19:24:48 main:574] : INFO : Epoch 61 | loss: 0.00618366 | val_loss: 0.00596474 | Time: 6908.5 ms [2020-11-10 19:24:55 main:574] : INFO : Epoch 62 | loss: 0.00556229 | val_loss: 0.00551786 | Time: 6940.68 ms [2020-11-10 19:25:02 main:574] : INFO : Epoch 63 | loss: 0.00526438 | val_loss: 0.00525786 | Time: 6929.35 ms [2020-11-10 19:25:09 main:574] : INFO : Epoch 64 | loss: 0.00505859 | val_loss: 0.00509065 | Time: 6971.48 ms [2020-11-10 19:25:16 main:574] : INFO : Epoch 65 | loss: 0.00488546 | val_loss: 0.00488972 | Time: 6871.33 ms [2020-11-10 19:25:23 main:574] : INFO : Epoch 66 | loss: 0.00472668 | val_loss: 0.00474186 | Time: 6931.6 ms [2020-11-10 19:25:30 main:574] : INFO : Epoch 67 | loss: 0.0045807 | val_loss: 0.00459297 | Time: 6912.13 ms [2020-11-10 19:25:37 main:574] : INFO : Epoch 68 | loss: 0.00444103 | val_loss: 0.00445494 | Time: 6848.7 ms [2020-11-10 19:25:43 main:574] : INFO : Epoch 69 | loss: 0.00430604 | val_loss: 0.00432228 | Time: 6894.85 ms [2020-11-10 19:25:50 main:574] : INFO : Epoch 70 | loss: 0.00417999 | val_loss: 0.0041923 | Time: 6778.14 ms [2020-11-10 19:25:57 main:574] : INFO : Epoch 71 | loss: 0.00404735 | val_loss: 0.00405958 | Time: 6925.99 ms [2020-11-10 19:26:04 main:574] : INFO : Epoch 72 | loss: 0.00392264 | val_loss: 0.00392599 | Time: 6929.78 ms [2020-11-10 19:26:11 main:574] : INFO : Epoch 73 | loss: 0.00379941 | val_loss: 0.00379699 | Time: 6860.89 ms [2020-11-10 19:26:18 main:574] : INFO : Epoch 74 | loss: 0.00367089 | val_loss: 0.0036945 | Time: 6876.29 ms [2020-11-10 19:26:25 main:574] : INFO : Epoch 75 | loss: 0.00355157 | val_loss: 0.00354765 | Time: 6942.91 ms [2020-11-10 19:26:32 main:574] : INFO : Epoch 76 | loss: 0.00342831 | val_loss: 0.00342732 | Time: 6838.33 ms [2020-11-10 19:26:39 main:574] : INFO : Epoch 77 | loss: 0.00330975 | val_loss: 0.00330282 | Time: 6793.55 ms [2020-11-10 19:26:46 main:574] : INFO : Epoch 78 | loss: 0.00319285 | val_loss: 0.00318607 | Time: 6824.41 ms [2020-11-10 19:26:52 main:574] : INFO : Epoch 79 | loss: 0.00307795 | val_loss: 0.00306752 | Time: 6780.6 ms [2020-11-10 19:26:59 main:574] : INFO : Epoch 80 | loss: 0.00296541 | val_loss: 0.00295277 | Time: 6927.23 ms [2020-11-10 19:27:06 main:574] : INFO : Epoch 81 | loss: 0.0028521 | val_loss: 0.00283873 | Time: 6917.54 ms [2020-11-10 19:27:13 main:574] : INFO : Epoch 82 | loss: 0.00274387 | val_loss: 0.00272979 | Time: 6902.42 ms [2020-11-10 19:27:20 main:574] : INFO : Epoch 83 | loss: 0.00263594 | val_loss: 0.00262225 | Time: 6907.57 ms [2020-11-10 19:27:27 main:574] : INFO : Epoch 84 | loss: 0.00253189 | val_loss: 0.00251747 | Time: 6813.14 ms [2020-11-10 19:27:34 main:574] : INFO : Epoch 85 | loss: 0.00242926 | val_loss: 0.00241479 | Time: 6887.33 ms [2020-11-10 19:27:41 main:574] : INFO : Epoch 86 | loss: 0.00232961 | val_loss: 0.00231399 | Time: 6898.2 ms [2020-11-10 19:27:48 main:574] : INFO : Epoch 87 | loss: 0.00223349 | val_loss: 0.00221627 | Time: 6827.24 ms [2020-11-10 19:27:55 main:574] : INFO : Epoch 88 | loss: 0.00213767 | val_loss: 0.00212265 | Time: 6888.11 ms [2020-11-10 19:28:02 main:574] : INFO : Epoch 89 | loss: 0.00204599 | val_loss: 0.00202938 | Time: 6776.28 ms [2020-11-10 19:28:08 main:574] : INFO : Epoch 90 | loss: 0.00195735 | val_loss: 0.00194037 | Time: 6822.25 ms [2020-11-10 19:28:15 main:574] : INFO : Epoch 91 | loss: 0.00187086 | val_loss: 0.00185462 | Time: 6858.24 ms [2020-11-10 19:28:22 main:574] : INFO : Epoch 92 | loss: 0.00178835 | val_loss: 0.00177058 | Time: 6850.6 ms [2020-11-10 19:28:29 main:574] : INFO : Epoch 93 | loss: 0.00170697 | val_loss: 0.00169075 | Time: 6824.34 ms [2020-11-10 19:28:36 main:574] : INFO : Epoch 94 | loss: 0.00162854 | val_loss: 0.00161255 | Time: 6787.77 ms [2020-11-10 19:28:43 main:574] : INFO : Epoch 95 | loss: 0.0015533 | val_loss: 0.00153864 | Time: 6730.95 ms [2020-11-10 19:28:49 main:574] : INFO : Epoch 96 | loss: 0.00148096 | val_loss: 0.00146679 | Time: 6761.94 ms [2020-11-10 19:28:56 main:574] : INFO : Epoch 97 | loss: 0.00141268 | val_loss: 0.00139848 | Time: 6683.2 ms [2020-11-10 19:29:03 main:574] : INFO : Epoch 98 | loss: 0.00134603 | val_loss: 0.001332 | Time: 6784.26 ms [2020-11-10 19:29:10 main:574] : INFO : Epoch 99 | loss: 0.00128241 | val_loss: 0.00126984 | Time: 7008.95 ms [2020-11-10 19:29:17 main:574] : INFO : Epoch 100 | loss: 0.00122176 | val_loss: 0.00120949 | Time: 6946.49 ms [2020-11-10 19:29:24 main:574] : INFO : Epoch 101 | loss: 0.00116269 | val_loss: 0.00115154 | Time: 6887.86 ms [2020-11-10 19:29:31 main:574] : INFO : Epoch 102 | loss: 0.00110643 | val_loss: 0.00109419 | Time: 6951.35 ms [2020-11-10 19:29:38 main:574] : INFO : Epoch 103 | loss: 0.00105334 | val_loss: 0.00104032 | Time: 7025.36 ms [2020-11-10 19:29:45 main:574] : INFO : Epoch 104 | loss: 0.00100186 | val_loss: 0.00098993 | Time: 7016.4 ms [2020-11-10 19:29:52 main:574] : INFO : Epoch 105 | loss: 0.000953481 | val_loss: 0.000944433 | Time: 6897.66 ms [2020-11-10 19:29:59 main:574] : INFO : Epoch 106 | loss: 0.000906533 | val_loss: 0.000897108 | Time: 6860.77 ms [2020-11-10 19:30:06 main:574] : INFO : Epoch 107 | loss: 0.000861754 | val_loss: 0.000851041 | Time: 6834.46 ms [2020-11-10 19:30:13 main:574] : INFO : Epoch 108 | loss: 0.000818878 | val_loss: 0.000809515 | Time: 6907.36 ms [2020-11-10 19:30:20 main:574] : INFO : Epoch 109 | loss: 0.00077828 | val_loss: 0.000768503 | Time: 6890.84 ms [2020-11-10 19:30:27 main:574] : INFO : Epoch 110 | loss: 0.000739765 | val_loss: 0.000733582 | Time: 6902.15 ms [2020-11-10 19:30:34 main:574] : INFO : Epoch 111 | loss: 0.000703283 | val_loss: 0.000694054 | Time: 6968.62 ms [2020-11-10 19:30:41 main:574] : INFO : Epoch 112 | loss: 0.000667699 | val_loss: 0.000661289 | Time: 6999.05 ms [2020-11-10 19:30:48 main:574] : INFO : Epoch 113 | loss: 0.000635035 | val_loss: 0.000627566 | Time: 6882.95 ms [2020-11-10 19:30:55 main:574] : INFO : Epoch 114 | loss: 0.000602967 | val_loss: 0.000597841 | Time: 6992.95 ms [2020-11-10 19:31:01 main:574] : INFO : Epoch 115 | loss: 0.000573203 | val_loss: 0.000566412 | Time: 6866.45 ms [2020-11-10 19:31:08 main:574] : INFO : Epoch 116 | loss: 0.000544769 | val_loss: 0.000540885 | Time: 6797.89 ms [2020-11-10 19:31:15 main:574] : INFO : Epoch 117 | loss: 0.000517697 | val_loss: 0.000514301 | Time: 6770.6 ms [2020-11-10 19:31:22 main:574] : INFO : Epoch 118 | loss: 0.000492053 | val_loss: 0.000490845 | Time: 6807.98 ms [2020-11-10 19:31:29 main:574] : INFO : Epoch 119 | loss: 0.000468444 | val_loss: 0.000465343 | Time: 6880.16 ms [2020-11-10 19:31:36 main:574] : INFO : Epoch 120 | loss: 0.000445483 | val_loss: 0.00044142 | Time: 6782.53 ms [2020-11-10 19:31:43 main:574] : INFO : Epoch 121 | loss: 0.000424058 | val_loss: 0.000423507 | Time: 6973.96 ms [2020-11-10 19:31:50 main:574] : INFO : Epoch 122 | loss: 0.000403724 | val_loss: 0.000399165 | Time: 6898.36 ms [2020-11-10 19:31:57 main:574] : INFO : Epoch 123 | loss: 0.000383799 | val_loss: 0.000381528 | Time: 6922.06 ms [2020-11-10 19:32:04 main:574] : INFO : Epoch 124 | loss: 0.000366163 | val_loss: 0.000365263 | Time: 6977.18 ms [2020-11-10 19:32:11 main:574] : INFO : Epoch 125 | loss: 0.000347855 | val_loss: 0.000345024 | Time: 6933.71 ms [2020-11-10 19:32:18 main:574] : INFO : Epoch 126 | loss: 0.000331787 | val_loss: 0.000329973 | Time: 6906.08 ms [2020-11-10 19:32:24 main:574] : INFO : Epoch 127 | loss: 0.000316213 | val_loss: 0.000314212 | Time: 6838.71 ms [2020-11-10 19:32:31 main:574] : INFO : Epoch 128 | loss: 0.000300766 | val_loss: 0.000298867 | Time: 6823.98 ms [2020-11-10 19:32:38 main:574] : INFO : Epoch 129 | loss: 0.000287105 | val_loss: 0.000285366 | Time: 6860.79 ms [2020-11-10 19:32:45 main:574] : INFO : Epoch 130 | loss: 0.000274272 | val_loss: 0.000273324 | Time: 6890.93 ms [2020-11-10 19:32:52 main:574] : INFO : Epoch 131 | loss: 0.000261585 | val_loss: 0.000262871 | Time: 6920.28 ms [2020-11-10 19:32:59 main:574] : INFO : Epoch 132 | loss: 0.000249287 | val_loss: 0.000248394 | Time: 6946.42 ms [2020-11-10 19:33:06 main:574] : INFO : Epoch 133 | loss: 0.000238294 | val_loss: 0.000239645 | Time: 6995.37 ms [2020-11-10 19:33:13 main:574] : INFO : Epoch 134 | loss: 0.000228484 | val_loss: 0.000227458 | Time: 6854.97 ms [2020-11-10 19:33:20 main:574] : INFO : Epoch 135 | loss: 0.000217864 | val_loss: 0.000217933 | Time: 7053.42 ms [2020-11-10 19:33:27 main:574] : INFO : Epoch 136 | loss: 0.000208518 | val_loss: 0.000208824 | Time: 6943.19 ms [2020-11-10 19:33:34 main:574] : INFO : Epoch 137 | loss: 0.00019981 | val_loss: 0.000198666 | Time: 6912.33 ms [2020-11-10 19:33:41 main:574] : INFO : Epoch 138 | loss: 0.000191097 | val_loss: 0.0001913 | Time: 7031.62 ms [2020-11-10 19:33:48 main:574] : INFO : Epoch 139 | loss: 0.00018325 | val_loss: 0.000182484 | Time: 7145.26 ms [2020-11-10 19:33:55 main:574] : INFO : Epoch 140 | loss: 0.000175756 | val_loss: 0.000176386 | Time: 7093.02 ms [2020-11-10 19:34:03 main:574] : INFO : Epoch 141 | loss: 0.000168278 | val_loss: 0.000167314 | Time: 7051.83 ms [2020-11-10 19:34:10 main:574] : INFO : Epoch 142 | loss: 0.000161659 | val_loss: 0.000161088 | Time: 6952.19 ms [2020-11-10 19:34:16 main:574] : INFO : Epoch 143 | loss: 0.000155411 | val_loss: 0.000159461 | Time: 6809.95 ms [2020-11-10 19:34:23 main:574] : INFO : Epoch 144 | loss: 0.00014889 | val_loss: 0.000148733 | Time: 6986.53 ms [2020-11-10 19:34:30 main:574] : INFO : Epoch 145 | loss: 0.000143121 | val_loss: 0.000143768 | Time: 6944.18 ms [2020-11-10 19:34:37 main:574] : INFO : Epoch 146 | loss: 0.000137401 | val_loss: 0.00013888 | Time: 6835.48 ms [2020-11-10 19:34:44 main:574] : INFO : Epoch 147 | loss: 0.000132836 | val_loss: 0.000133606 | Time: 6845.69 ms [2020-11-10 19:34:51 main:574] : INFO : Epoch 148 | loss: 0.000128299 | val_loss: 0.000127699 | Time: 6996.31 ms [2020-11-10 19:34:58 main:574] : INFO : Epoch 149 | loss: 0.000123063 | val_loss: 0.000123433 | Time: 6869.47 ms [2020-11-10 19:35:05 main:574] : INFO : Epoch 150 | loss: 0.000118854 | val_loss: 0.00011747 | Time: 7013.65 ms [2020-11-10 19:35:12 main:574] : INFO : Epoch 151 | loss: 0.000114201 | val_loss: 0.000113578 | Time: 6925.26 ms [2020-11-10 19:35:19 main:574] : INFO : Epoch 152 | loss: 0.00011038 | val_loss: 0.0001109 | Time: 6875.94 ms [2020-11-10 19:35:26 main:574] : INFO : Epoch 153 | loss: 0.000106404 | val_loss: 0.00010684 | Time: 6865.48 ms [2020-11-10 19:35:33 main:574] : INFO : Epoch 154 | loss: 0.000103017 | val_loss: 0.000102585 | Time: 6883.78 ms [2020-11-10 19:35:40 main:574] : INFO : Epoch 155 | loss: 9.97443e-05 | val_loss: 9.96002e-05 | Time: 6938.87 ms [2020-11-10 19:35:47 main:574] : INFO : Epoch 156 | loss: 9.7263e-05 | val_loss: 0.000100179 | Time: 6851.71 ms [2020-11-10 19:35:53 main:574] : INFO : Epoch 157 | loss: 9.32856e-05 | val_loss: 9.34394e-05 | Time: 6748.44 ms [2020-11-10 19:36:00 main:574] : INFO : Epoch 158 | loss: 9.09763e-05 | val_loss: 9.33511e-05 | Time: 6823.64 ms [2020-11-10 19:36:07 main:574] : INFO : Epoch 159 | loss: 8.82376e-05 | val_loss: 8.81967e-05 | Time: 6889.26 ms [2020-11-10 19:36:14 main:574] : INFO : Epoch 160 | loss: 8.52853e-05 | val_loss: 8.5175e-05 | Time: 6796.43 ms [2020-11-10 19:36:21 main:574] : INFO : Epoch 161 | loss: 8.28674e-05 | val_loss: 8.64328e-05 | Time: 6804.57 ms [2020-11-10 19:36:28 main:574] : INFO : Epoch 162 | loss: 8.04526e-05 | val_loss: 8.07576e-05 | Time: 6858.95 ms [2020-11-10 19:36:35 main:574] : INFO : Epoch 163 | loss: 7.77798e-05 | val_loss: 7.84683e-05 | Time: 6735.91 ms [2020-11-10 19:36:41 main:574] : INFO : Epoch 164 | loss: 7.64002e-05 | val_loss: 7.62865e-05 | Time: 6701.38 ms [2020-11-10 19:36:48 main:574] : INFO : Epoch 165 | loss: 7.40014e-05 | val_loss: 7.39504e-05 | Time: 6858.21 ms [2020-11-10 19:36:55 main:574] : INFO : Epoch 166 | loss: 7.20401e-05 | val_loss: 7.31441e-05 | Time: 6837.11 ms [2020-11-10 19:37:02 main:574] : INFO : Epoch 167 | loss: 7.00069e-05 | val_loss: 7.2737e-05 | Time: 6884.44 ms [2020-11-10 19:37:09 main:574] : INFO : Epoch 168 | loss: 6.81964e-05 | val_loss: 6.86661e-05 | Time: 6852.82 ms [2020-11-10 19:37:16 main:574] : INFO : Epoch 169 | loss: 6.63878e-05 | val_loss: 6.78081e-05 | Time: 6902.04 ms [2020-11-10 19:37:23 main:574] : INFO : Epoch 170 | loss: 6.51635e-05 | val_loss: 6.56681e-05 | Time: 6908.25 ms [2020-11-10 19:37:30 main:574] : INFO : Epoch 171 | loss: 6.34957e-05 | val_loss: 6.32714e-05 | Time: 7021.6 ms [2020-11-10 19:37:37 main:574] : INFO : Epoch 172 | loss: 6.11521e-05 | val_loss: 6.2009e-05 | Time: 6968.66 ms [2020-11-10 19:37:44 main:574] : INFO : Epoch 173 | loss: 6.02266e-05 | val_loss: 6.03331e-05 | Time: 6961.89 ms [2020-11-10 19:37:51 main:574] : INFO : Epoch 174 | loss: 5.86818e-05 | val_loss: 5.8407e-05 | Time: 7045.32 ms [2020-11-10 19:37:58 main:574] : INFO : Epoch 175 | loss: 5.76656e-05 | val_loss: 5.83059e-05 | Time: 6959.5 ms [2020-11-10 19:38:05 main:574] : INFO : Epoch 176 | loss: 5.637e-05 | val_loss: 5.67712e-05 | Time: 6843.42 ms [2020-11-10 19:38:12 main:574] : INFO : Epoch 177 | loss: 5.51734e-05 | val_loss: 5.46622e-05 | Time: 6957.15 ms [2020-11-10 19:38:19 main:574] : INFO : Epoch 178 | loss: 5.4072e-05 | val_loss: 5.6529e-05 | Time: 6870.04 ms [2020-11-10 19:38:26 main:574] : INFO : Epoch 179 | loss: 5.26766e-05 | val_loss: 5.30515e-05 | Time: 6884.64 ms [2020-11-10 19:38:33 main:574] : INFO : Epoch 180 | loss: 5.11359e-05 | val_loss: 5.18615e-05 | Time: 6867.72 ms [2020-11-10 19:38:39 main:574] : INFO : Epoch 181 | loss: 5.02657e-05 | val_loss: 5.15409e-05 | Time: 6783.31 ms [2020-11-10 19:38:46 main:574] : INFO : Epoch 182 | loss: 4.98727e-05 | val_loss: 5.10174e-05 | Time: 6802.8 ms [2020-11-10 19:38:53 main:574] : INFO : Epoch 183 | loss: 4.82988e-05 | val_loss: 4.8568e-05 | Time: 6857.72 ms [2020-11-10 19:39:00 main:574] : INFO : Epoch 184 | loss: 4.70709e-05 | val_loss: 4.89274e-05 | Time: 6929.72 ms [2020-11-10 19:39:07 main:574] : INFO : Epoch 185 | loss: 4.68007e-05 | val_loss: 4.59346e-05 | Time: 6794.23 ms [2020-11-10 19:39:14 main:574] : INFO : Epoch 186 | loss: 4.55094e-05 | val_loss: 4.6807e-05 | Time: 6819.43 ms [2020-11-10 19:39:21 main:574] : INFO : Epoch 187 | loss: 4.49453e-05 | val_loss: 4.5408e-05 | Time: 6910.71 ms [2020-11-10 19:39:28 main:574] : INFO : Epoch 188 | loss: 4.38258e-05 | val_loss: 4.61184e-05 | Time: 6906.55 ms [2020-11-10 19:39:35 main:574] : INFO : Epoch 189 | loss: 4.39815e-05 | val_loss: 4.21973e-05 | Time: 6882.47 ms [2020-11-10 19:39:41 main:574] : INFO : Epoch 190 | loss: 4.18355e-05 | val_loss: 4.13769e-05 | Time: 6901.62 ms [2020-11-10 19:39:48 main:574] : INFO : Epoch 191 | loss: 4.14338e-05 | val_loss: 4.23362e-05 | Time: 6766.79 ms [2020-11-10 19:39:55 main:574] : INFO : Epoch 192 | loss: 4.07853e-05 | val_loss: 4.10292e-05 | Time: 6898.27 ms [2020-11-10 19:39:55 main:597] : INFO : Saving trained model to model-final.pt, val_loss 4.10292e-05 [2020-11-10 19:39:55 main:603] : INFO : Saving end state to config to file [2020-11-10 19:39:55 main:608] : INFO : Success, exiting.. 19:39:55 (11332): 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)