Task 2806871
| Name | rand_automata_0070-1604985009-5204-0_1 |
| Workunit | 1264534 |
| Created | 10 Nov 2020, 5:59:22 UTC |
| Sent | 10 Nov 2020, 6:02:35 UTC |
| Report deadline | 11 Nov 2020, 4:32:35 UTC |
| Received | 10 Nov 2020, 21:01:09 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 563 |
| Run time | 22 min 43 sec |
| CPU time | 22 min 8 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 |
Stderr output
<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 21:38:27 main:435] : INFO : Set logging level to 1 [2020-11-10 21:38:27 main:441] : INFO : Running in BOINC Client mode [2020-11-10 21:38:27 main:444] : INFO : Resolving all filenames [2020-11-10 21:38:27 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0070-train-val-dataset.hdf5 (exists = 1) [2020-11-10 21:38:27 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0070-1604985009-5204-0_1_r623362756_1 (exists = 0) [2020-11-10 21:38:27 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0070-1604985009-5204-0_1_r623362756_0 (exists = 0) [2020-11-10 21:38:28 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-10 21:38:28 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-10 21:38:28 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0070-train-val-dataset.hdf5 [2020-11-10 21:38:28 main:474] : INFO : Configuration: [2020-11-10 21:38:28 main:475] : INFO : Model type: LSTM [2020-11-10 21:38:28 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-10 21:38:28 main:477] : INFO : Max Epochs: 192 [2020-11-10 21:38:28 main:478] : INFO : Batch Size: 32 [2020-11-10 21:38:28 main:479] : INFO : Learning Rate: 0.001 [2020-11-10 21:38:28 main:480] : INFO : Patience: 10 [2020-11-10 21:38:28 main:481] : INFO : Hidden Width: 64 [2020-11-10 21:38:28 main:482] : INFO : # Recurrent Layers: 4 [2020-11-10 21:38:28 main:483] : INFO : # Backend Layers: 2 [2020-11-10 21:38:28 main:484] : INFO : # Threads: 1 [2020-11-10 21:38:28 main:486] : INFO : Preparing Dataset [2020-11-10 21:38:28 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0070-train-val-dataset.hdf5 into memory [2020-11-10 21:38:28 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0070-train-val-dataset.hdf5 into memory [2020-11-10 21:38:30 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-10 21:38:30 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0070-train-val-dataset.hdf5 into memory [2020-11-10 21:38:30 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0070-train-val-dataset.hdf5 into memory [2020-11-10 21:38:30 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-10 21:38:30 main:494] : INFO : Creating Model [2020-11-10 21:38:30 main:507] : INFO : Preparing config file [2020-11-10 21:38:30 main:519] : INFO : Creating new config file [2020-11-10 21:38:31 main:559] : INFO : Loading DataLoader into Memory [2020-11-10 21:38:31 main:562] : INFO : Starting Training [2020-11-10 21:38:39 main:574] : INFO : Epoch 1 | loss: 0.0657719 | val_loss: 0.0655036 | Time: 7249.81 ms [2020-11-10 21:38:46 main:574] : INFO : Epoch 2 | loss: 0.0649369 | val_loss: 0.0639884 | Time: 6951.86 ms [2020-11-10 21:38:53 main:574] : INFO : Epoch 3 | loss: 0.0626646 | val_loss: 0.0616358 | Time: 6884.32 ms [2020-11-10 21:39:00 main:574] : INFO : Epoch 4 | loss: 0.0606824 | val_loss: 0.0596008 | Time: 6994.56 ms [2020-11-10 21:39:07 main:574] : INFO : Epoch 5 | loss: 0.0587246 | val_loss: 0.057881 | Time: 6958.87 ms [2020-11-10 21:39:14 main:574] : INFO : Epoch 6 | loss: 0.0571526 | val_loss: 0.0565175 | Time: 6957.8 ms [2020-11-10 21:39:21 main:574] : INFO : Epoch 7 | loss: 0.0559542 | val_loss: 0.0554591 | Time: 6908.54 ms [2020-11-10 21:39:28 main:574] : INFO : Epoch 8 | loss: 0.0548723 | val_loss: 0.0543585 | Time: 6980.97 ms [2020-11-10 21:39:35 main:574] : INFO : Epoch 9 | loss: 0.0537933 | val_loss: 0.0533131 | Time: 6828.79 ms [2020-11-10 21:39:42 main:574] : INFO : Epoch 10 | loss: 0.0527167 | val_loss: 0.052415 | Time: 6883.05 ms [2020-11-10 21:39:49 main:574] : INFO : Epoch 11 | loss: 0.0516211 | val_loss: 0.0510927 | Time: 6980.44 ms [2020-11-10 21:39:56 main:574] : INFO : Epoch 12 | loss: 0.0504218 | val_loss: 0.0500112 | Time: 6905.42 ms [2020-11-10 21:40:03 main:574] : INFO : Epoch 13 | loss: 0.0490848 | val_loss: 0.0485479 | Time: 7066.03 ms [2020-11-10 21:40:10 main:574] : INFO : Epoch 14 | loss: 0.0476601 | val_loss: 0.0473383 | Time: 7065.38 ms [2020-11-10 21:40:17 main:574] : INFO : Epoch 15 | loss: 0.0460216 | val_loss: 0.0461313 | Time: 7046.38 ms [2020-11-10 21:40:24 main:574] : INFO : Epoch 16 | loss: 0.0440494 | val_loss: 0.0435698 | Time: 6900.57 ms [2020-11-10 21:40:31 main:574] : INFO : Epoch 17 | loss: 0.0416382 | val_loss: 0.0410334 | Time: 6789.1 ms [2020-11-10 21:40:38 main:574] : INFO : Epoch 18 | loss: 0.0389995 | val_loss: 0.0378908 | Time: 6831 ms [2020-11-10 21:40:45 main:574] : INFO : Epoch 19 | loss: 0.0356898 | val_loss: 0.0343478 | Time: 6746.58 ms [2020-11-10 21:40:52 main:574] : INFO : Epoch 20 | loss: 0.0323137 | val_loss: 0.03098 | Time: 6904.51 ms [2020-11-10 21:40:58 main:574] : INFO : Epoch 21 | loss: 0.0395365 | val_loss: 0.0343175 | Time: 6833.02 ms [2020-11-10 21:41:05 main:574] : INFO : Epoch 22 | loss: 0.0299233 | val_loss: 0.0297334 | Time: 6853.76 ms [2020-11-10 21:41:12 main:574] : INFO : Epoch 23 | loss: 0.0274793 | val_loss: 0.0261471 | Time: 6969.35 ms [2020-11-10 21:41:19 main:574] : INFO : Epoch 24 | loss: 0.0261668 | val_loss: 0.025498 | Time: 6835 ms [2020-11-10 21:41:26 main:574] : INFO : Epoch 25 | loss: 0.0352191 | val_loss: 0.0311858 | Time: 6941.94 ms [2020-11-10 21:41:33 main:574] : INFO : Epoch 26 | loss: 0.0236678 | val_loss: 0.0244453 | Time: 6861.95 ms [2020-11-10 21:41:40 main:574] : INFO : Epoch 27 | loss: 0.0586463 | val_loss: 0.0566699 | Time: 6865.32 ms [2020-11-10 21:41:47 main:574] : INFO : Epoch 28 | loss: 0.0539637 | val_loss: 0.0502992 | Time: 6713.2 ms [2020-11-10 21:41:54 main:574] : INFO : Epoch 29 | loss: 0.0432821 | val_loss: 0.0346751 | Time: 6982.79 ms [2020-11-10 21:42:01 main:574] : INFO : Epoch 30 | loss: 0.0282084 | val_loss: 0.0221385 | Time: 6824.1 ms [2020-11-10 21:42:08 main:574] : INFO : Epoch 31 | loss: 0.0230667 | val_loss: 0.0625895 | Time: 6929.5 ms [2020-11-10 21:42:15 main:574] : INFO : Epoch 32 | loss: 0.0511409 | val_loss: 0.0369064 | Time: 6896.37 ms [2020-11-10 21:42:22 main:574] : INFO : Epoch 33 | loss: 0.0257887 | val_loss: 0.0257635 | Time: 6789.72 ms [2020-11-10 21:42:29 main:574] : INFO : Epoch 34 | loss: 0.0191237 | val_loss: 0.0163127 | Time: 6849.38 ms [2020-11-10 21:42:35 main:574] : INFO : Epoch 35 | loss: 0.0146513 | val_loss: 0.0142544 | Time: 6749.72 ms [2020-11-10 21:42:42 main:574] : INFO : Epoch 36 | loss: 0.0133144 | val_loss: 0.0143832 | Time: 6829.16 ms [2020-11-10 21:42:49 main:574] : INFO : Epoch 37 | loss: 0.0139272 | val_loss: 0.0146381 | Time: 6901.97 ms [2020-11-10 21:42:56 main:574] : INFO : Epoch 38 | loss: 0.0116913 | val_loss: 0.0113716 | Time: 6861.67 ms [2020-11-10 21:43:03 main:574] : INFO : Epoch 39 | loss: 0.0108775 | val_loss: 0.0129773 | Time: 6856.03 ms [2020-11-10 21:43:10 main:574] : INFO : Epoch 40 | loss: 0.0113936 | val_loss: 0.0105186 | Time: 7058.47 ms [2020-11-10 21:43:17 main:574] : INFO : Epoch 41 | loss: 0.00977513 | val_loss: 0.0102059 | Time: 6971.14 ms [2020-11-10 21:43:24 main:574] : INFO : Epoch 42 | loss: 0.0107117 | val_loss: 0.020008 | Time: 6974.67 ms [2020-11-10 21:43:31 main:574] : INFO : Epoch 43 | loss: 0.0398225 | val_loss: 0.0182286 | Time: 6934.96 ms [2020-11-10 21:43:38 main:574] : INFO : Epoch 44 | loss: 0.0238142 | val_loss: 0.01994 | Time: 6945.1 ms [2020-11-10 21:43:45 main:574] : INFO : Epoch 45 | loss: 0.0167616 | val_loss: 0.0115351 | Time: 6885.37 ms [2020-11-10 21:43:52 main:574] : INFO : Epoch 46 | loss: 0.0103876 | val_loss: 0.0101308 | Time: 6786.88 ms [2020-11-10 21:43:59 main:574] : INFO : Epoch 47 | loss: 0.00940567 | val_loss: 0.00939513 | Time: 6983.98 ms [2020-11-10 21:44:06 main:574] : INFO : Epoch 48 | loss: 0.00883597 | val_loss: 0.00912478 | Time: 6867.85 ms [2020-11-10 21:44:13 main:574] : INFO : Epoch 49 | loss: 0.00843473 | val_loss: 0.00846496 | Time: 6830.26 ms [2020-11-10 21:44:20 main:574] : INFO : Epoch 50 | loss: 0.00817509 | val_loss: 0.00845724 | Time: 6894.77 ms [2020-11-10 21:44:27 main:574] : INFO : Epoch 51 | loss: 0.00793881 | val_loss: 0.00792103 | Time: 6913.36 ms [2020-11-10 21:44:34 main:574] : INFO : Epoch 52 | loss: 0.0114548 | val_loss: 0.0122051 | Time: 6904.45 ms [2020-11-10 21:44:41 main:574] : INFO : Epoch 53 | loss: 0.00868029 | val_loss: 0.00814724 | Time: 6879.04 ms [2020-11-10 21:44:48 main:574] : INFO : Epoch 54 | loss: 0.00756739 | val_loss: 0.00757206 | Time: 6968.52 ms [2020-11-10 21:44:55 main:574] : INFO : Epoch 55 | loss: 0.0071837 | val_loss: 0.00724448 | Time: 6862.07 ms [2020-11-10 21:45:01 main:574] : INFO : Epoch 56 | loss: 0.00692418 | val_loss: 0.00698651 | Time: 6807.82 ms [2020-11-10 21:45:08 main:574] : INFO : Epoch 57 | loss: 0.00670444 | val_loss: 0.00680773 | Time: 6888.45 ms [2020-11-10 21:45:15 main:574] : INFO : Epoch 58 | loss: 0.00650265 | val_loss: 0.00661591 | Time: 6835.32 ms [2020-11-10 21:45:22 main:574] : INFO : Epoch 59 | loss: 0.00631705 | val_loss: 0.00638663 | Time: 6700.64 ms [2020-11-10 21:45:29 main:574] : INFO : Epoch 60 | loss: 0.0061377 | val_loss: 0.00621059 | Time: 6657.09 ms [2020-11-10 21:45:36 main:574] : INFO : Epoch 61 | loss: 0.00596328 | val_loss: 0.00602538 | Time: 6794.98 ms [2020-11-10 21:45:43 main:574] : INFO : Epoch 62 | loss: 0.00579408 | val_loss: 0.00584966 | Time: 6954.54 ms [2020-11-10 21:45:49 main:574] : INFO : Epoch 63 | loss: 0.00567758 | val_loss: 0.00564548 | Time: 6909.31 ms [2020-11-10 21:45:56 main:574] : INFO : Epoch 64 | loss: 0.00546175 | val_loss: 0.00545858 | Time: 6854.47 ms [2020-11-10 21:46:03 main:574] : INFO : Epoch 65 | loss: 0.00529763 | val_loss: 0.00528999 | Time: 6842.17 ms [2020-11-10 21:46:10 main:574] : INFO : Epoch 66 | loss: 0.00513562 | val_loss: 0.0051177 | Time: 6755.71 ms [2020-11-10 21:46:17 main:574] : INFO : Epoch 67 | loss: 0.00497967 | val_loss: 0.00494877 | Time: 6905.15 ms [2020-11-10 21:46:24 main:574] : INFO : Epoch 68 | loss: 0.00482418 | val_loss: 0.00479169 | Time: 6998.93 ms [2020-11-10 21:46:31 main:574] : INFO : Epoch 69 | loss: 0.0046735 | val_loss: 0.00463599 | Time: 7015.99 ms [2020-11-10 21:46:38 main:574] : INFO : Epoch 70 | loss: 0.00452262 | val_loss: 0.00448336 | Time: 7016.07 ms [2020-11-10 21:46:45 main:574] : INFO : Epoch 71 | loss: 0.00437438 | val_loss: 0.00433395 | Time: 6841.29 ms [2020-11-10 21:46:52 main:574] : INFO : Epoch 72 | loss: 0.00439621 | val_loss: 0.00429156 | Time: 7071.65 ms [2020-11-10 21:46:59 main:574] : INFO : Epoch 73 | loss: 0.00411496 | val_loss: 0.00404996 | Time: 7115.18 ms [2020-11-10 21:47:07 main:574] : INFO : Epoch 74 | loss: 0.00395155 | val_loss: 0.00390424 | Time: 7113.93 ms [2020-11-10 21:47:14 main:574] : INFO : Epoch 75 | loss: 0.00381141 | val_loss: 0.0037632 | Time: 7157.23 ms [2020-11-10 21:47:21 main:574] : INFO : Epoch 76 | loss: 0.00367569 | val_loss: 0.00362754 | Time: 6925.88 ms [2020-11-10 21:47:28 main:574] : INFO : Epoch 77 | loss: 0.00354245 | val_loss: 0.00349531 | Time: 6994.5 ms [2020-11-10 21:47:35 main:574] : INFO : Epoch 78 | loss: 0.00341261 | val_loss: 0.00336427 | Time: 6932.42 ms [2020-11-10 21:47:42 main:574] : INFO : Epoch 79 | loss: 0.00328648 | val_loss: 0.00323995 | Time: 6787.23 ms [2020-11-10 21:47:49 main:574] : INFO : Epoch 80 | loss: 0.00316365 | val_loss: 0.00311965 | Time: 6825.96 ms [2020-11-10 21:47:56 main:574] : INFO : Epoch 81 | loss: 0.00304374 | val_loss: 0.00299591 | Time: 6900.76 ms [2020-11-10 21:48:02 main:574] : INFO : Epoch 82 | loss: 0.0029269 | val_loss: 0.00288151 | Time: 6912.7 ms [2020-11-10 21:48:09 main:574] : INFO : Epoch 83 | loss: 0.00281225 | val_loss: 0.00276799 | Time: 6899.22 ms [2020-11-10 21:48:16 main:574] : INFO : Epoch 84 | loss: 0.00270216 | val_loss: 0.00265744 | Time: 6882.68 ms [2020-11-10 21:48:23 main:574] : INFO : Epoch 85 | loss: 0.00259529 | val_loss: 0.00255397 | Time: 6779.57 ms [2020-11-10 21:48:30 main:574] : INFO : Epoch 86 | loss: 0.00249183 | val_loss: 0.00244875 | Time: 6904.15 ms [2020-11-10 21:48:37 main:574] : INFO : Epoch 87 | loss: 0.00239137 | val_loss: 0.00235271 | Time: 6906.22 ms [2020-11-10 21:48:44 main:574] : INFO : Epoch 88 | loss: 0.00229531 | val_loss: 0.00225736 | Time: 6936.19 ms [2020-11-10 21:48:51 main:574] : INFO : Epoch 89 | loss: 0.00220194 | val_loss: 0.00216566 | Time: 6908.96 ms [2020-11-10 21:48:58 main:574] : INFO : Epoch 90 | loss: 0.00211188 | val_loss: 0.0020753 | Time: 6898.79 ms [2020-11-10 21:49:05 main:574] : INFO : Epoch 91 | loss: 0.00202592 | val_loss: 0.00199142 | Time: 6783.05 ms [2020-11-10 21:49:12 main:574] : INFO : Epoch 92 | loss: 0.00194383 | val_loss: 0.00190978 | Time: 6778.1 ms [2020-11-10 21:49:19 main:574] : INFO : Epoch 93 | loss: 0.00186465 | val_loss: 0.00183064 | Time: 6903.07 ms [2020-11-10 21:49:26 main:574] : INFO : Epoch 94 | loss: 0.00178773 | val_loss: 0.00175578 | Time: 6958.29 ms [2020-11-10 21:49:33 main:574] : INFO : Epoch 95 | loss: 0.00171354 | val_loss: 0.00168409 | Time: 7018.71 ms [2020-11-10 21:49:40 main:574] : INFO : Epoch 96 | loss: 0.00164303 | val_loss: 0.00161325 | Time: 6902.72 ms [2020-11-10 21:49:47 main:574] : INFO : Epoch 97 | loss: 0.00157629 | val_loss: 0.00154876 | Time: 6865.95 ms [2020-11-10 21:49:54 main:574] : INFO : Epoch 98 | loss: 0.00151071 | val_loss: 0.00148595 | Time: 6894.89 ms [2020-11-10 21:50:01 main:574] : INFO : Epoch 99 | loss: 0.00144852 | val_loss: 0.00142239 | Time: 6945.6 ms [2020-11-10 21:50:08 main:574] : INFO : Epoch 100 | loss: 0.00138846 | val_loss: 0.00136409 | Time: 6846.6 ms [2020-11-10 21:50:15 main:574] : INFO : Epoch 101 | loss: 0.00133162 | val_loss: 0.00130721 | Time: 6901.59 ms [2020-11-10 21:50:22 main:574] : INFO : Epoch 102 | loss: 0.00127597 | val_loss: 0.00125324 | Time: 6923.61 ms [2020-11-10 21:50:28 main:574] : INFO : Epoch 103 | loss: 0.00122349 | val_loss: 0.00120093 | Time: 6888.61 ms [2020-11-10 21:50:35 main:574] : INFO : Epoch 104 | loss: 0.00117261 | val_loss: 0.00114941 | Time: 6872.67 ms [2020-11-10 21:50:42 main:574] : INFO : Epoch 105 | loss: 0.00112403 | val_loss: 0.00110578 | Time: 6915.6 ms [2020-11-10 21:50:49 main:574] : INFO : Epoch 106 | loss: 0.00107759 | val_loss: 0.00106185 | Time: 7000.32 ms [2020-11-10 21:50:57 main:574] : INFO : Epoch 107 | loss: 0.00103265 | val_loss: 0.00101361 | Time: 7088.83 ms [2020-11-10 21:51:04 main:574] : INFO : Epoch 108 | loss: 0.000989692 | val_loss: 0.000968251 | Time: 6887.59 ms [2020-11-10 21:51:11 main:574] : INFO : Epoch 109 | loss: 0.000949198 | val_loss: 0.00093415 | Time: 6983.23 ms [2020-11-10 21:51:18 main:574] : INFO : Epoch 110 | loss: 0.000908194 | val_loss: 0.000889872 | Time: 6915.5 ms [2020-11-10 21:51:25 main:574] : INFO : Epoch 111 | loss: 0.00087029 | val_loss: 0.000853474 | Time: 6989.23 ms [2020-11-10 21:51:32 main:574] : INFO : Epoch 112 | loss: 0.000834114 | val_loss: 0.000817838 | Time: 6966.82 ms [2020-11-10 21:51:39 main:574] : INFO : Epoch 113 | loss: 0.00079881 | val_loss: 0.000782107 | Time: 6995.36 ms [2020-11-10 21:51:46 main:574] : INFO : Epoch 114 | loss: 0.000765529 | val_loss: 0.000752048 | Time: 6889.47 ms [2020-11-10 21:51:53 main:574] : INFO : Epoch 115 | loss: 0.000733583 | val_loss: 0.000718838 | Time: 6899.61 ms [2020-11-10 21:52:00 main:574] : INFO : Epoch 116 | loss: 0.00070257 | val_loss: 0.00068903 | Time: 6942.07 ms [2020-11-10 21:52:06 main:574] : INFO : Epoch 117 | loss: 0.000673267 | val_loss: 0.00066271 | Time: 6879.09 ms [2020-11-10 21:52:14 main:574] : INFO : Epoch 118 | loss: 0.000645333 | val_loss: 0.000632465 | Time: 6968.07 ms [2020-11-10 21:52:21 main:574] : INFO : Epoch 119 | loss: 0.00061839 | val_loss: 0.000606662 | Time: 7040.25 ms [2020-11-10 21:52:28 main:574] : INFO : Epoch 120 | loss: 0.000592269 | val_loss: 0.000580989 | Time: 6863.78 ms [2020-11-10 21:52:35 main:574] : INFO : Epoch 121 | loss: 0.00056837 | val_loss: 0.000560746 | Time: 6929.63 ms [2020-11-10 21:52:41 main:574] : INFO : Epoch 122 | loss: 0.000544514 | val_loss: 0.000538057 | Time: 6929.71 ms [2020-11-10 21:52:48 main:574] : INFO : Epoch 123 | loss: 0.00052234 | val_loss: 0.000513532 | Time: 6924.46 ms [2020-11-10 21:52:55 main:574] : INFO : Epoch 124 | loss: 0.000500441 | val_loss: 0.000493227 | Time: 6982.98 ms [2020-11-10 21:53:03 main:574] : INFO : Epoch 125 | loss: 0.000481184 | val_loss: 0.000473693 | Time: 6968.29 ms [2020-11-10 21:53:09 main:574] : INFO : Epoch 126 | loss: 0.000461338 | val_loss: 0.000454474 | Time: 6938.88 ms [2020-11-10 21:53:16 main:574] : INFO : Epoch 127 | loss: 0.00044318 | val_loss: 0.000435887 | Time: 6801.09 ms [2020-11-10 21:53:23 main:574] : INFO : Epoch 128 | loss: 0.000425666 | val_loss: 0.000422721 | Time: 6944.83 ms [2020-11-10 21:53:30 main:574] : INFO : Epoch 129 | loss: 0.000409582 | val_loss: 0.00040586 | Time: 6926.5 ms [2020-11-10 21:53:37 main:574] : INFO : Epoch 130 | loss: 0.000393177 | val_loss: 0.000389084 | Time: 6973.51 ms [2020-11-10 21:53:45 main:574] : INFO : Epoch 131 | loss: 0.000378033 | val_loss: 0.000373718 | Time: 7102.54 ms [2020-11-10 21:53:52 main:574] : INFO : Epoch 132 | loss: 0.000363782 | val_loss: 0.000359629 | Time: 6785.31 ms [2020-11-10 21:53:58 main:574] : INFO : Epoch 133 | loss: 0.000349906 | val_loss: 0.000345332 | Time: 6793.97 ms [2020-11-10 21:54:05 main:574] : INFO : Epoch 134 | loss: 0.000336529 | val_loss: 0.000332306 | Time: 6896.5 ms [2020-11-10 21:54:12 main:574] : INFO : Epoch 135 | loss: 0.000324505 | val_loss: 0.000321127 | Time: 7037.57 ms [2020-11-10 21:54:19 main:574] : INFO : Epoch 136 | loss: 0.000312245 | val_loss: 0.000309544 | Time: 7041.66 ms [2020-11-10 21:54:26 main:574] : INFO : Epoch 137 | loss: 0.000301364 | val_loss: 0.000298026 | Time: 6946.4 ms [2020-11-10 21:54:33 main:574] : INFO : Epoch 138 | loss: 0.000290239 | val_loss: 0.000288346 | Time: 6945.1 ms [2020-11-10 21:54:40 main:574] : INFO : Epoch 139 | loss: 0.000281266 | val_loss: 0.000280474 | Time: 6790.84 ms [2020-11-10 21:54:47 main:574] : INFO : Epoch 140 | loss: 0.000270589 | val_loss: 0.000270993 | Time: 6773.78 ms [2020-11-10 21:54:54 main:574] : INFO : Epoch 141 | loss: 0.000261352 | val_loss: 0.000261214 | Time: 6717.7 ms [2020-11-10 21:55:01 main:574] : INFO : Epoch 142 | loss: 0.00025273 | val_loss: 0.000250936 | Time: 6769.98 ms [2020-11-10 21:55:08 main:574] : INFO : Epoch 143 | loss: 0.000244236 | val_loss: 0.000242683 | Time: 6803.78 ms [2020-11-10 21:55:14 main:574] : INFO : Epoch 144 | loss: 0.000236173 | val_loss: 0.000234704 | Time: 6816.17 ms [2020-11-10 21:55:21 main:574] : INFO : Epoch 145 | loss: 0.000228678 | val_loss: 0.000225627 | Time: 6911.93 ms [2020-11-10 21:55:28 main:574] : INFO : Epoch 146 | loss: 0.000221692 | val_loss: 0.000220639 | Time: 6977.05 ms [2020-11-10 21:55:36 main:574] : INFO : Epoch 147 | loss: 0.000214383 | val_loss: 0.000214876 | Time: 7004.02 ms [2020-11-10 21:55:43 main:574] : INFO : Epoch 148 | loss: 0.000207609 | val_loss: 0.000207485 | Time: 6938.11 ms [2020-11-10 21:55:50 main:574] : INFO : Epoch 149 | loss: 0.000201076 | val_loss: 0.00020132 | Time: 7014.21 ms [2020-11-10 21:55:57 main:574] : INFO : Epoch 150 | loss: 0.000194811 | val_loss: 0.000195176 | Time: 6983.08 ms [2020-11-10 21:56:04 main:574] : INFO : Epoch 151 | loss: 0.000189541 | val_loss: 0.000190399 | Time: 6974.52 ms [2020-11-10 21:56:11 main:574] : INFO : Epoch 152 | loss: 0.000183916 | val_loss: 0.000183214 | Time: 7023.05 ms [2020-11-10 21:56:18 main:574] : INFO : Epoch 153 | loss: 0.000178282 | val_loss: 0.000179798 | Time: 6993.44 ms [2020-11-10 21:56:25 main:574] : INFO : Epoch 154 | loss: 0.000173756 | val_loss: 0.000174724 | Time: 6990.02 ms [2020-11-10 21:56:32 main:574] : INFO : Epoch 155 | loss: 0.000169273 | val_loss: 0.00016967 | Time: 6947.38 ms [2020-11-10 21:56:39 main:574] : INFO : Epoch 156 | loss: 0.000164228 | val_loss: 0.000165112 | Time: 6905.34 ms [2020-11-10 21:56:46 main:574] : INFO : Epoch 157 | loss: 0.00015926 | val_loss: 0.000160892 | Time: 7057.54 ms [2020-11-10 21:56:53 main:574] : INFO : Epoch 158 | loss: 0.000156012 | val_loss: 0.000155523 | Time: 6826.36 ms [2020-11-10 21:57:00 main:574] : INFO : Epoch 159 | loss: 0.000151141 | val_loss: 0.000150931 | Time: 6943.86 ms [2020-11-10 21:57:07 main:574] : INFO : Epoch 160 | loss: 0.000147502 | val_loss: 0.000148476 | Time: 7023.25 ms [2020-11-10 21:57:14 main:574] : INFO : Epoch 161 | loss: 0.000143504 | val_loss: 0.000144247 | Time: 6950.14 ms [2020-11-10 21:57:21 main:574] : INFO : Epoch 162 | loss: 0.000140237 | val_loss: 0.000141476 | Time: 6998.8 ms [2020-11-10 21:57:28 main:574] : INFO : Epoch 163 | loss: 0.000136806 | val_loss: 0.000137345 | Time: 6925.83 ms [2020-11-10 21:57:35 main:574] : INFO : Epoch 164 | loss: 0.000133625 | val_loss: 0.000136481 | Time: 6847.29 ms [2020-11-10 21:57:42 main:574] : INFO : Epoch 165 | loss: 0.00013004 | val_loss: 0.000131116 | Time: 6878.14 ms [2020-11-10 21:57:49 main:574] : INFO : Epoch 166 | loss: 0.000127252 | val_loss: 0.000128492 | Time: 6897.75 ms [2020-11-10 21:57:56 main:574] : INFO : Epoch 167 | loss: 0.000123952 | val_loss: 0.000123713 | Time: 6998.26 ms [2020-11-10 21:58:03 main:574] : INFO : Epoch 168 | loss: 0.000121211 | val_loss: 0.000122129 | Time: 7003.6 ms [2020-11-10 21:58:10 main:574] : INFO : Epoch 169 | loss: 0.000118787 | val_loss: 0.000119779 | Time: 6935.35 ms [2020-11-10 21:58:17 main:574] : INFO : Epoch 170 | loss: 0.000116132 | val_loss: 0.000116558 | Time: 6831.06 ms [2020-11-10 21:58:24 main:574] : INFO : Epoch 171 | loss: 0.000113989 | val_loss: 0.000113145 | Time: 7009.93 ms [2020-11-10 21:58:31 main:574] : INFO : Epoch 172 | loss: 0.000111156 | val_loss: 0.000112537 | Time: 6920.66 ms [2020-11-10 21:58:38 main:574] : INFO : Epoch 173 | loss: 0.000108433 | val_loss: 0.000111039 | Time: 6863.65 ms [2020-11-10 21:58:45 main:574] : INFO : Epoch 174 | loss: 0.000106628 | val_loss: 0.000108574 | Time: 7085.79 ms [2020-11-10 21:58:52 main:574] : INFO : Epoch 175 | loss: 0.000104308 | val_loss: 0.000103961 | Time: 7008.48 ms [2020-11-10 21:58:59 main:574] : INFO : Epoch 176 | loss: 0.000102014 | val_loss: 0.000104924 | Time: 7020.27 ms [2020-11-10 21:59:06 main:574] : INFO : Epoch 177 | loss: 9.98912e-05 | val_loss: 0.000101915 | Time: 7015.64 ms [2020-11-10 21:59:13 main:574] : INFO : Epoch 178 | loss: 9.81561e-05 | val_loss: 0.000100195 | Time: 7064.63 ms [2020-11-10 21:59:20 main:574] : INFO : Epoch 179 | loss: 9.69329e-05 | val_loss: 9.91617e-05 | Time: 7000.53 ms [2020-11-10 21:59:27 main:574] : INFO : Epoch 180 | loss: 9.46922e-05 | val_loss: 9.55788e-05 | Time: 6950.54 ms [2020-11-10 21:59:34 main:574] : INFO : Epoch 181 | loss: 9.28508e-05 | val_loss: 9.40372e-05 | Time: 6923.72 ms [2020-11-10 21:59:41 main:574] : INFO : Epoch 182 | loss: 9.12088e-05 | val_loss: 9.186e-05 | Time: 6949.92 ms [2020-11-10 21:59:48 main:574] : INFO : Epoch 183 | loss: 8.92528e-05 | val_loss: 9.12964e-05 | Time: 6923.51 ms [2020-11-10 21:59:55 main:574] : INFO : Epoch 184 | loss: 8.77139e-05 | val_loss: 8.90185e-05 | Time: 6919.24 ms [2020-11-10 22:00:02 main:574] : INFO : Epoch 185 | loss: 8.62574e-05 | val_loss: 8.70894e-05 | Time: 7101.16 ms [2020-11-10 22:00:10 main:574] : INFO : Epoch 186 | loss: 8.50244e-05 | val_loss: 8.56766e-05 | Time: 7048.87 ms [2020-11-10 22:00:17 main:574] : INFO : Epoch 187 | loss: 8.34961e-05 | val_loss: 8.38353e-05 | Time: 6950.24 ms [2020-11-10 22:00:24 main:574] : INFO : Epoch 188 | loss: 8.22354e-05 | val_loss: 8.35061e-05 | Time: 7044.47 ms [2020-11-10 22:00:31 main:574] : INFO : Epoch 189 | loss: 8.09438e-05 | val_loss: 8.17896e-05 | Time: 7070.99 ms [2020-11-10 22:00:38 main:574] : INFO : Epoch 190 | loss: 7.93566e-05 | val_loss: 8.05139e-05 | Time: 7049.62 ms [2020-11-10 22:00:45 main:574] : INFO : Epoch 191 | loss: 7.811e-05 | val_loss: 7.95038e-05 | Time: 6801.98 ms [2020-11-10 22:00:52 main:574] : INFO : Epoch 192 | loss: 7.71441e-05 | val_loss: 7.86709e-05 | Time: 6986.62 ms [2020-11-10 22:00:52 main:597] : INFO : Saving trained model to model-final.pt, val_loss 7.86709e-05 [2020-11-10 22:00:52 main:603] : INFO : Saving end state to config to file [2020-11-10 22:00:52 main:608] : INFO : Success, exiting.. 22:00:52 (12024): 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)