Task 2806424
| Name | rand_automata_0096-1604984777-31710-0_1 |
| Workunit | 1264342 |
| 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, 20:38:23 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 563 |
| Run time | 23 min 13 sec |
| CPU time | 22 min 38 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 21:15:13 main:435] : INFO : Set logging level to 1 [2020-11-10 21:15:13 main:441] : INFO : Running in BOINC Client mode [2020-11-10 21:15:13 main:444] : INFO : Resolving all filenames [2020-11-10 21:15:13 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0096-train-val-dataset.hdf5 (exists = 1) [2020-11-10 21:15:13 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0096-1604984777-31710-0_1_r1967993498_1 (exists = 0) [2020-11-10 21:15:14 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0096-1604984777-31710-0_1_r1967993498_0 (exists = 0) [2020-11-10 21:15:14 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-10 21:15:14 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-10 21:15:14 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0096-train-val-dataset.hdf5 [2020-11-10 21:15:14 main:474] : INFO : Configuration: [2020-11-10 21:15:14 main:475] : INFO : Model type: LSTM [2020-11-10 21:15:14 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-10 21:15:14 main:477] : INFO : Max Epochs: 192 [2020-11-10 21:15:14 main:478] : INFO : Batch Size: 32 [2020-11-10 21:15:14 main:479] : INFO : Learning Rate: 0.001 [2020-11-10 21:15:14 main:480] : INFO : Patience: 10 [2020-11-10 21:15:14 main:481] : INFO : Hidden Width: 64 [2020-11-10 21:15:14 main:482] : INFO : # Recurrent Layers: 4 [2020-11-10 21:15:14 main:483] : INFO : # Backend Layers: 2 [2020-11-10 21:15:14 main:484] : INFO : # Threads: 1 [2020-11-10 21:15:14 main:486] : INFO : Preparing Dataset [2020-11-10 21:15:14 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0096-train-val-dataset.hdf5 into memory [2020-11-10 21:15:14 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0096-train-val-dataset.hdf5 into memory [2020-11-10 21:15:16 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-10 21:15:16 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0096-train-val-dataset.hdf5 into memory [2020-11-10 21:15:16 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0096-train-val-dataset.hdf5 into memory [2020-11-10 21:15:16 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-10 21:15:16 main:494] : INFO : Creating Model [2020-11-10 21:15:16 main:507] : INFO : Preparing config file [2020-11-10 21:15:16 main:519] : INFO : Creating new config file [2020-11-10 21:15:18 main:559] : INFO : Loading DataLoader into Memory [2020-11-10 21:15:18 main:562] : INFO : Starting Training [2020-11-10 21:15:25 main:574] : INFO : Epoch 1 | loss: 0.0662581 | val_loss: 0.0658649 | Time: 7538.77 ms [2020-11-10 21:15:32 main:574] : INFO : Epoch 2 | loss: 0.0649976 | val_loss: 0.0633008 | Time: 7033.49 ms [2020-11-10 21:15:40 main:574] : INFO : Epoch 3 | loss: 0.0614111 | val_loss: 0.059951 | Time: 7064.2 ms [2020-11-10 21:15:47 main:574] : INFO : Epoch 4 | loss: 0.0585911 | val_loss: 0.0573077 | Time: 7148.24 ms [2020-11-10 21:15:54 main:574] : INFO : Epoch 5 | loss: 0.0565021 | val_loss: 0.0556937 | Time: 7107.57 ms [2020-11-10 21:16:01 main:574] : INFO : Epoch 6 | loss: 0.0551076 | val_loss: 0.0546168 | Time: 7102.55 ms [2020-11-10 21:16:08 main:574] : INFO : Epoch 7 | loss: 0.0539775 | val_loss: 0.0535456 | Time: 7255.07 ms [2020-11-10 21:16:16 main:574] : INFO : Epoch 8 | loss: 0.0529144 | val_loss: 0.052557 | Time: 7209.36 ms [2020-11-10 21:16:23 main:574] : INFO : Epoch 9 | loss: 0.0518471 | val_loss: 0.0513348 | Time: 7073.23 ms [2020-11-10 21:16:30 main:574] : INFO : Epoch 10 | loss: 0.0506562 | val_loss: 0.0503075 | Time: 7190.8 ms [2020-11-10 21:16:37 main:574] : INFO : Epoch 11 | loss: 0.0493035 | val_loss: 0.0489929 | Time: 7123.57 ms [2020-11-10 21:16:44 main:574] : INFO : Epoch 12 | loss: 0.0478683 | val_loss: 0.0474561 | Time: 7058.46 ms [2020-11-10 21:16:52 main:574] : INFO : Epoch 13 | loss: 0.0461606 | val_loss: 0.0457914 | Time: 7120.73 ms [2020-11-10 21:16:59 main:574] : INFO : Epoch 14 | loss: 0.0442191 | val_loss: 0.0439963 | Time: 7078.69 ms [2020-11-10 21:17:06 main:574] : INFO : Epoch 15 | loss: 0.0419178 | val_loss: 0.041838 | Time: 7086.51 ms [2020-11-10 21:17:13 main:574] : INFO : Epoch 16 | loss: 0.039351 | val_loss: 0.0388558 | Time: 7027.45 ms [2020-11-10 21:17:20 main:574] : INFO : Epoch 17 | loss: 0.0365068 | val_loss: 0.0358251 | Time: 7061.01 ms [2020-11-10 21:17:27 main:574] : INFO : Epoch 18 | loss: 0.0328879 | val_loss: 0.0325914 | Time: 6989.45 ms [2020-11-10 21:17:34 main:574] : INFO : Epoch 19 | loss: 0.0303158 | val_loss: 0.0320199 | Time: 7070.15 ms [2020-11-10 21:17:41 main:574] : INFO : Epoch 20 | loss: 0.0277285 | val_loss: 0.0277959 | Time: 7204.66 ms [2020-11-10 21:17:49 main:574] : INFO : Epoch 21 | loss: 0.0268368 | val_loss: 0.039387 | Time: 7091.27 ms [2020-11-10 21:17:56 main:574] : INFO : Epoch 22 | loss: 0.0268692 | val_loss: 0.0340827 | Time: 7001.45 ms [2020-11-10 21:18:03 main:574] : INFO : Epoch 23 | loss: 0.0228774 | val_loss: 0.020771 | Time: 7122.45 ms [2020-11-10 21:18:10 main:574] : INFO : Epoch 24 | loss: 0.0235745 | val_loss: 0.0271855 | Time: 6994.6 ms [2020-11-10 21:18:17 main:574] : INFO : Epoch 25 | loss: 0.0161405 | val_loss: 0.0163112 | Time: 7021.61 ms [2020-11-10 21:18:24 main:574] : INFO : Epoch 26 | loss: 0.0215682 | val_loss: 0.0594605 | Time: 7152.33 ms [2020-11-10 21:18:31 main:574] : INFO : Epoch 27 | loss: 0.0556416 | val_loss: 0.0522942 | Time: 7057.01 ms [2020-11-10 21:18:38 main:574] : INFO : Epoch 28 | loss: 0.0446923 | val_loss: 0.0330431 | Time: 7098.61 ms [2020-11-10 21:18:46 main:574] : INFO : Epoch 29 | loss: 0.0232012 | val_loss: 0.0173444 | Time: 7187.34 ms [2020-11-10 21:18:53 main:574] : INFO : Epoch 30 | loss: 0.0146252 | val_loss: 0.0130575 | Time: 7212.59 ms [2020-11-10 21:19:00 main:574] : INFO : Epoch 31 | loss: 0.0116787 | val_loss: 0.0110449 | Time: 7132.2 ms [2020-11-10 21:19:07 main:574] : INFO : Epoch 32 | loss: 0.0110172 | val_loss: 0.0102166 | Time: 7094.86 ms [2020-11-10 21:19:14 main:574] : INFO : Epoch 33 | loss: 0.0100986 | val_loss: 0.00990638 | Time: 7165.98 ms [2020-11-10 21:19:22 main:574] : INFO : Epoch 34 | loss: 0.00898141 | val_loss: 0.00870644 | Time: 7063.81 ms [2020-11-10 21:19:29 main:574] : INFO : Epoch 35 | loss: 0.00835479 | val_loss: 0.00847438 | Time: 7071.41 ms [2020-11-10 21:19:36 main:574] : INFO : Epoch 36 | loss: 0.0078857 | val_loss: 0.00811154 | Time: 7031.13 ms [2020-11-10 21:19:43 main:574] : INFO : Epoch 37 | loss: 0.00769761 | val_loss: 0.00763848 | Time: 6980.69 ms [2020-11-10 21:19:50 main:574] : INFO : Epoch 38 | loss: 0.00722306 | val_loss: 0.00730343 | Time: 7041.9 ms [2020-11-10 21:19:57 main:574] : INFO : Epoch 39 | loss: 0.00689475 | val_loss: 0.00702169 | Time: 7153.08 ms [2020-11-10 21:20:04 main:574] : INFO : Epoch 40 | loss: 0.00665377 | val_loss: 0.00674495 | Time: 7110.38 ms [2020-11-10 21:20:11 main:574] : INFO : Epoch 41 | loss: 0.00639318 | val_loss: 0.00649525 | Time: 7046.19 ms [2020-11-10 21:20:19 main:574] : INFO : Epoch 42 | loss: 0.00615918 | val_loss: 0.00624121 | Time: 7161.02 ms [2020-11-10 21:20:26 main:574] : INFO : Epoch 43 | loss: 0.00593601 | val_loss: 0.00599017 | Time: 7109.99 ms [2020-11-10 21:20:33 main:574] : INFO : Epoch 44 | loss: 0.00572276 | val_loss: 0.00575731 | Time: 7028.82 ms [2020-11-10 21:20:40 main:574] : INFO : Epoch 45 | loss: 0.00550678 | val_loss: 0.00556144 | Time: 7087.19 ms [2020-11-10 21:20:47 main:574] : INFO : Epoch 46 | loss: 0.00529409 | val_loss: 0.00533179 | Time: 7143.01 ms [2020-11-10 21:20:54 main:574] : INFO : Epoch 47 | loss: 0.00509213 | val_loss: 0.00512092 | Time: 7052.66 ms [2020-11-10 21:21:01 main:574] : INFO : Epoch 48 | loss: 0.00489636 | val_loss: 0.00491479 | Time: 7008.58 ms [2020-11-10 21:21:08 main:574] : INFO : Epoch 49 | loss: 0.00470644 | val_loss: 0.00471504 | Time: 7158.67 ms [2020-11-10 21:21:16 main:574] : INFO : Epoch 50 | loss: 0.00452232 | val_loss: 0.0045347 | Time: 7156.81 ms [2020-11-10 21:21:23 main:574] : INFO : Epoch 51 | loss: 0.00434304 | val_loss: 0.00434517 | Time: 7138.79 ms [2020-11-10 21:21:30 main:574] : INFO : Epoch 52 | loss: 0.00416887 | val_loss: 0.00416902 | Time: 7208.54 ms [2020-11-10 21:21:37 main:574] : INFO : Epoch 53 | loss: 0.00399942 | val_loss: 0.00399366 | Time: 7108.21 ms [2020-11-10 21:21:44 main:574] : INFO : Epoch 54 | loss: 0.00383381 | val_loss: 0.00382518 | Time: 6999.68 ms [2020-11-10 21:21:51 main:574] : INFO : Epoch 55 | loss: 0.0036742 | val_loss: 0.00366609 | Time: 7090.53 ms [2020-11-10 21:21:58 main:574] : INFO : Epoch 56 | loss: 0.00351924 | val_loss: 0.00350495 | Time: 6997.27 ms [2020-11-10 21:22:05 main:574] : INFO : Epoch 57 | loss: 0.00336984 | val_loss: 0.00335666 | Time: 7093.69 ms [2020-11-10 21:22:13 main:574] : INFO : Epoch 58 | loss: 0.00322416 | val_loss: 0.00321262 | Time: 7146.46 ms [2020-11-10 21:22:20 main:574] : INFO : Epoch 59 | loss: 0.00308465 | val_loss: 0.00307216 | Time: 7051.2 ms [2020-11-10 21:22:27 main:574] : INFO : Epoch 60 | loss: 0.00294928 | val_loss: 0.00293123 | Time: 7071.64 ms [2020-11-10 21:22:34 main:574] : INFO : Epoch 61 | loss: 0.00281961 | val_loss: 0.00280594 | Time: 7062.84 ms [2020-11-10 21:22:41 main:574] : INFO : Epoch 62 | loss: 0.00269401 | val_loss: 0.00267688 | Time: 7036.13 ms [2020-11-10 21:22:48 main:574] : INFO : Epoch 63 | loss: 0.00257396 | val_loss: 0.00255925 | Time: 7081.67 ms [2020-11-10 21:22:55 main:574] : INFO : Epoch 64 | loss: 0.00245855 | val_loss: 0.00244941 | Time: 7124.06 ms [2020-11-10 21:23:02 main:574] : INFO : Epoch 65 | loss: 0.0023492 | val_loss: 0.00233735 | Time: 7105.36 ms [2020-11-10 21:23:09 main:574] : INFO : Epoch 66 | loss: 0.0022422 | val_loss: 0.0022284 | Time: 6976.74 ms [2020-11-10 21:23:17 main:574] : INFO : Epoch 67 | loss: 0.00214116 | val_loss: 0.00213108 | Time: 7138.63 ms [2020-11-10 21:23:24 main:574] : INFO : Epoch 68 | loss: 0.00204533 | val_loss: 0.00203107 | Time: 7152.71 ms [2020-11-10 21:23:31 main:574] : INFO : Epoch 69 | loss: 0.0019519 | val_loss: 0.00193909 | Time: 7071.69 ms [2020-11-10 21:23:38 main:574] : INFO : Epoch 70 | loss: 0.00186461 | val_loss: 0.00185542 | Time: 7083.46 ms [2020-11-10 21:23:45 main:574] : INFO : Epoch 71 | loss: 0.00177921 | val_loss: 0.00177032 | Time: 7030.61 ms [2020-11-10 21:23:52 main:574] : INFO : Epoch 72 | loss: 0.00169858 | val_loss: 0.00168862 | Time: 7132.71 ms [2020-11-10 21:23:59 main:574] : INFO : Epoch 73 | loss: 0.00162079 | val_loss: 0.00161541 | Time: 7097.41 ms [2020-11-10 21:24:06 main:574] : INFO : Epoch 74 | loss: 0.00154807 | val_loss: 0.0015418 | Time: 7028.99 ms [2020-11-10 21:24:13 main:574] : INFO : Epoch 75 | loss: 0.00147927 | val_loss: 0.00147339 | Time: 7026.4 ms [2020-11-10 21:24:20 main:574] : INFO : Epoch 76 | loss: 0.00141084 | val_loss: 0.00140361 | Time: 6922.62 ms [2020-11-10 21:24:27 main:574] : INFO : Epoch 77 | loss: 0.00134716 | val_loss: 0.00134168 | Time: 6965.28 ms [2020-11-10 21:24:34 main:574] : INFO : Epoch 78 | loss: 0.00128635 | val_loss: 0.0012808 | Time: 7010.51 ms [2020-11-10 21:24:42 main:574] : INFO : Epoch 79 | loss: 0.00122894 | val_loss: 0.00122604 | Time: 7079.68 ms [2020-11-10 21:24:49 main:574] : INFO : Epoch 80 | loss: 0.00117251 | val_loss: 0.00116894 | Time: 7143.44 ms [2020-11-10 21:24:56 main:574] : INFO : Epoch 81 | loss: 0.00111951 | val_loss: 0.00111396 | Time: 7074.93 ms [2020-11-10 21:25:03 main:574] : INFO : Epoch 82 | loss: 0.00106815 | val_loss: 0.00105993 | Time: 7057.87 ms [2020-11-10 21:25:10 main:574] : INFO : Epoch 83 | loss: 0.00101971 | val_loss: 0.00101475 | Time: 7020.08 ms [2020-11-10 21:25:17 main:574] : INFO : Epoch 84 | loss: 0.000973695 | val_loss: 0.000968554 | Time: 7082.03 ms [2020-11-10 21:25:25 main:574] : INFO : Epoch 85 | loss: 0.000930572 | val_loss: 0.000926651 | Time: 7061.6 ms [2020-11-10 21:25:32 main:574] : INFO : Epoch 86 | loss: 0.000888875 | val_loss: 0.000884177 | Time: 7129.79 ms [2020-11-10 21:25:39 main:574] : INFO : Epoch 87 | loss: 0.000848504 | val_loss: 0.000845785 | Time: 7122.06 ms [2020-11-10 21:25:46 main:574] : INFO : Epoch 88 | loss: 0.000811276 | val_loss: 0.000808922 | Time: 7019.54 ms [2020-11-10 21:25:53 main:574] : INFO : Epoch 89 | loss: 0.000773845 | val_loss: 0.000770243 | Time: 6976.69 ms [2020-11-10 21:26:00 main:574] : INFO : Epoch 90 | loss: 0.000739704 | val_loss: 0.000736535 | Time: 6996.62 ms [2020-11-10 21:26:07 main:574] : INFO : Epoch 91 | loss: 0.000706972 | val_loss: 0.000706636 | Time: 7092.54 ms [2020-11-10 21:26:14 main:574] : INFO : Epoch 92 | loss: 0.000676364 | val_loss: 0.00067269 | Time: 7022.76 ms [2020-11-10 21:26:21 main:574] : INFO : Epoch 93 | loss: 0.000647067 | val_loss: 0.000644915 | Time: 6985.83 ms [2020-11-10 21:26:28 main:574] : INFO : Epoch 94 | loss: 0.000618042 | val_loss: 0.000617279 | Time: 7217.19 ms [2020-11-10 21:26:35 main:574] : INFO : Epoch 95 | loss: 0.000591396 | val_loss: 0.000587736 | Time: 6946.87 ms [2020-11-10 21:26:43 main:574] : INFO : Epoch 96 | loss: 0.000565648 | val_loss: 0.000560754 | Time: 7077.02 ms [2020-11-10 21:26:50 main:574] : INFO : Epoch 97 | loss: 0.000541681 | val_loss: 0.00054303 | Time: 6989.99 ms [2020-11-10 21:26:57 main:574] : INFO : Epoch 98 | loss: 0.00051783 | val_loss: 0.000517258 | Time: 7117.84 ms [2020-11-10 21:27:04 main:574] : INFO : Epoch 99 | loss: 0.000497181 | val_loss: 0.000497042 | Time: 6981.01 ms [2020-11-10 21:27:11 main:574] : INFO : Epoch 100 | loss: 0.000475016 | val_loss: 0.00047546 | Time: 6996.92 ms [2020-11-10 21:27:18 main:574] : INFO : Epoch 101 | loss: 0.0004555 | val_loss: 0.000454257 | Time: 7033.33 ms [2020-11-10 21:27:25 main:574] : INFO : Epoch 102 | loss: 0.000436564 | val_loss: 0.000434436 | Time: 7133.05 ms [2020-11-10 21:27:32 main:574] : INFO : Epoch 103 | loss: 0.00041818 | val_loss: 0.000416871 | Time: 7006.87 ms [2020-11-10 21:27:39 main:574] : INFO : Epoch 104 | loss: 0.000401255 | val_loss: 0.000399264 | Time: 7028.87 ms [2020-11-10 21:27:46 main:574] : INFO : Epoch 105 | loss: 0.000384813 | val_loss: 0.000383688 | Time: 7085.44 ms [2020-11-10 21:27:54 main:574] : INFO : Epoch 106 | loss: 0.000369532 | val_loss: 0.000369295 | Time: 7084.24 ms [2020-11-10 21:28:01 main:574] : INFO : Epoch 107 | loss: 0.000354405 | val_loss: 0.000354099 | Time: 7078.43 ms [2020-11-10 21:28:08 main:574] : INFO : Epoch 108 | loss: 0.000340867 | val_loss: 0.000342078 | Time: 7104.82 ms [2020-11-10 21:28:15 main:574] : INFO : Epoch 109 | loss: 0.000326952 | val_loss: 0.000326939 | Time: 6945.56 ms [2020-11-10 21:28:22 main:574] : INFO : Epoch 110 | loss: 0.000314186 | val_loss: 0.000316796 | Time: 6880.41 ms [2020-11-10 21:28:29 main:574] : INFO : Epoch 111 | loss: 0.00030235 | val_loss: 0.000300144 | Time: 6974.65 ms [2020-11-10 21:28:36 main:574] : INFO : Epoch 112 | loss: 0.000290498 | val_loss: 0.000291702 | Time: 6969.22 ms [2020-11-10 21:28:43 main:574] : INFO : Epoch 113 | loss: 0.000279828 | val_loss: 0.00028313 | Time: 7021.39 ms [2020-11-10 21:28:50 main:574] : INFO : Epoch 114 | loss: 0.000269072 | val_loss: 0.000269472 | Time: 7009.58 ms [2020-11-10 21:28:57 main:574] : INFO : Epoch 115 | loss: 0.000259628 | val_loss: 0.000260158 | Time: 7025.63 ms [2020-11-10 21:29:04 main:574] : INFO : Epoch 116 | loss: 0.000249958 | val_loss: 0.000249793 | Time: 6969.73 ms [2020-11-10 21:29:11 main:574] : INFO : Epoch 117 | loss: 0.000240532 | val_loss: 0.000241557 | Time: 7042.62 ms [2020-11-10 21:29:18 main:574] : INFO : Epoch 118 | loss: 0.000232691 | val_loss: 0.000233595 | Time: 7074.12 ms [2020-11-10 21:29:25 main:574] : INFO : Epoch 119 | loss: 0.000223905 | val_loss: 0.000224205 | Time: 7049.49 ms [2020-11-10 21:29:32 main:574] : INFO : Epoch 120 | loss: 0.000215731 | val_loss: 0.000215203 | Time: 7065.8 ms [2020-11-10 21:29:39 main:574] : INFO : Epoch 121 | loss: 0.00020886 | val_loss: 0.000210448 | Time: 6976.82 ms [2020-11-10 21:29:46 main:574] : INFO : Epoch 122 | loss: 0.000202148 | val_loss: 0.000202425 | Time: 7061.22 ms [2020-11-10 21:29:53 main:574] : INFO : Epoch 123 | loss: 0.000194712 | val_loss: 0.000194312 | Time: 7079.35 ms [2020-11-10 21:30:01 main:574] : INFO : Epoch 124 | loss: 0.000188433 | val_loss: 0.000189543 | Time: 7148.95 ms [2020-11-10 21:30:08 main:574] : INFO : Epoch 125 | loss: 0.000181477 | val_loss: 0.000185289 | Time: 7236.68 ms [2020-11-10 21:30:15 main:574] : INFO : Epoch 126 | loss: 0.00017637 | val_loss: 0.000177788 | Time: 7168.82 ms [2020-11-10 21:30:22 main:574] : INFO : Epoch 127 | loss: 0.000170753 | val_loss: 0.000171415 | Time: 7038.79 ms [2020-11-10 21:30:29 main:574] : INFO : Epoch 128 | loss: 0.000165612 | val_loss: 0.000165057 | Time: 7092.8 ms [2020-11-10 21:30:36 main:574] : INFO : Epoch 129 | loss: 0.000160104 | val_loss: 0.000163967 | Time: 7042.51 ms [2020-11-10 21:30:44 main:574] : INFO : Epoch 130 | loss: 0.000155442 | val_loss: 0.000156127 | Time: 7175.41 ms [2020-11-10 21:30:51 main:574] : INFO : Epoch 131 | loss: 0.000149841 | val_loss: 0.000150709 | Time: 7047.69 ms [2020-11-10 21:30:58 main:574] : INFO : Epoch 132 | loss: 0.000146094 | val_loss: 0.000149458 | Time: 7023.92 ms [2020-11-10 21:31:05 main:574] : INFO : Epoch 133 | loss: 0.000141644 | val_loss: 0.00014338 | Time: 7124.59 ms [2020-11-10 21:31:12 main:574] : INFO : Epoch 134 | loss: 0.000137486 | val_loss: 0.000137663 | Time: 7152.14 ms [2020-11-10 21:31:19 main:574] : INFO : Epoch 135 | loss: 0.000133803 | val_loss: 0.000137377 | Time: 7085.18 ms [2020-11-10 21:31:27 main:574] : INFO : Epoch 136 | loss: 0.000129619 | val_loss: 0.000129917 | Time: 7126.71 ms [2020-11-10 21:31:34 main:574] : INFO : Epoch 137 | loss: 0.000126441 | val_loss: 0.000130962 | Time: 7031.23 ms [2020-11-10 21:31:41 main:574] : INFO : Epoch 138 | loss: 0.000122327 | val_loss: 0.0001224 | Time: 7025.65 ms [2020-11-10 21:31:48 main:574] : INFO : Epoch 139 | loss: 0.000119641 | val_loss: 0.000120344 | Time: 7120.34 ms [2020-11-10 21:31:55 main:574] : INFO : Epoch 140 | loss: 0.000116547 | val_loss: 0.00011855 | Time: 7021.17 ms [2020-11-10 21:32:02 main:574] : INFO : Epoch 141 | loss: 0.000113101 | val_loss: 0.000115099 | Time: 7100.44 ms [2020-11-10 21:32:09 main:574] : INFO : Epoch 142 | loss: 0.000110456 | val_loss: 0.000111251 | Time: 7024.8 ms [2020-11-10 21:32:16 main:574] : INFO : Epoch 143 | loss: 0.000108167 | val_loss: 0.000109853 | Time: 6990.33 ms [2020-11-10 21:32:23 main:574] : INFO : Epoch 144 | loss: 0.000104409 | val_loss: 0.000104936 | Time: 7038.74 ms [2020-11-10 21:32:30 main:574] : INFO : Epoch 145 | loss: 0.000101837 | val_loss: 0.000105632 | Time: 7009.67 ms [2020-11-10 21:32:37 main:574] : INFO : Epoch 146 | loss: 0.000100574 | val_loss: 0.000100926 | Time: 7101.24 ms [2020-11-10 21:32:44 main:574] : INFO : Epoch 147 | loss: 9.64806e-05 | val_loss: 9.82804e-05 | Time: 7027 ms [2020-11-10 21:32:52 main:574] : INFO : Epoch 148 | loss: 9.42606e-05 | val_loss: 9.61794e-05 | Time: 7078.75 ms [2020-11-10 21:32:59 main:574] : INFO : Epoch 149 | loss: 9.22413e-05 | val_loss: 9.16048e-05 | Time: 7153.65 ms [2020-11-10 21:33:06 main:574] : INFO : Epoch 150 | loss: 9.0354e-05 | val_loss: 9.17085e-05 | Time: 7220.26 ms [2020-11-10 21:33:13 main:574] : INFO : Epoch 151 | loss: 8.81926e-05 | val_loss: 8.87302e-05 | Time: 7114.11 ms [2020-11-10 21:33:20 main:574] : INFO : Epoch 152 | loss: 8.6178e-05 | val_loss: 8.77138e-05 | Time: 7062.04 ms [2020-11-10 21:33:27 main:574] : INFO : Epoch 153 | loss: 8.43241e-05 | val_loss: 8.58148e-05 | Time: 7017.65 ms [2020-11-10 21:33:34 main:574] : INFO : Epoch 154 | loss: 8.20702e-05 | val_loss: 8.30611e-05 | Time: 7081.99 ms [2020-11-10 21:33:41 main:574] : INFO : Epoch 155 | loss: 8.03764e-05 | val_loss: 8.27253e-05 | Time: 6974.19 ms [2020-11-10 21:33:49 main:574] : INFO : Epoch 156 | loss: 7.8272e-05 | val_loss: 7.94566e-05 | Time: 7128.72 ms [2020-11-10 21:33:56 main:574] : INFO : Epoch 157 | loss: 7.67493e-05 | val_loss: 7.78565e-05 | Time: 7073.41 ms [2020-11-10 21:34:03 main:574] : INFO : Epoch 158 | loss: 7.54014e-05 | val_loss: 7.7675e-05 | Time: 7069.87 ms [2020-11-10 21:34:10 main:574] : INFO : Epoch 159 | loss: 7.3607e-05 | val_loss: 7.43735e-05 | Time: 7191.23 ms [2020-11-10 21:34:17 main:574] : INFO : Epoch 160 | loss: 7.19157e-05 | val_loss: 7.48197e-05 | Time: 7080.31 ms [2020-11-10 21:34:24 main:574] : INFO : Epoch 161 | loss: 7.11521e-05 | val_loss: 7.06457e-05 | Time: 7075.98 ms [2020-11-10 21:34:31 main:574] : INFO : Epoch 162 | loss: 6.932e-05 | val_loss: 6.93604e-05 | Time: 7135.32 ms [2020-11-10 21:34:39 main:574] : INFO : Epoch 163 | loss: 6.70629e-05 | val_loss: 6.81912e-05 | Time: 7107.62 ms [2020-11-10 21:34:46 main:574] : INFO : Epoch 164 | loss: 6.64729e-05 | val_loss: 6.5748e-05 | Time: 6994.81 ms [2020-11-10 21:34:53 main:574] : INFO : Epoch 165 | loss: 6.46517e-05 | val_loss: 6.57518e-05 | Time: 7134.38 ms [2020-11-10 21:35:00 main:574] : INFO : Epoch 166 | loss: 6.35327e-05 | val_loss: 6.38488e-05 | Time: 7171.8 ms [2020-11-10 21:35:07 main:574] : INFO : Epoch 167 | loss: 6.25263e-05 | val_loss: 6.44872e-05 | Time: 7072.68 ms [2020-11-10 21:35:14 main:574] : INFO : Epoch 168 | loss: 6.15043e-05 | val_loss: 6.30256e-05 | Time: 7147.96 ms [2020-11-10 21:35:21 main:574] : INFO : Epoch 169 | loss: 5.99304e-05 | val_loss: 6.06747e-05 | Time: 7206.61 ms [2020-11-10 21:35:29 main:574] : INFO : Epoch 170 | loss: 5.86316e-05 | val_loss: 5.99413e-05 | Time: 7198.17 ms [2020-11-10 21:35:36 main:574] : INFO : Epoch 171 | loss: 5.82431e-05 | val_loss: 5.96956e-05 | Time: 7091.11 ms [2020-11-10 21:35:43 main:574] : INFO : Epoch 172 | loss: 5.69331e-05 | val_loss: 5.99202e-05 | Time: 7246.73 ms [2020-11-10 21:35:50 main:574] : INFO : Epoch 173 | loss: 5.55192e-05 | val_loss: 5.61697e-05 | Time: 7156.85 ms [2020-11-10 21:35:58 main:574] : INFO : Epoch 174 | loss: 5.42739e-05 | val_loss: 5.53981e-05 | Time: 7213.57 ms [2020-11-10 21:36:05 main:574] : INFO : Epoch 175 | loss: 5.36948e-05 | val_loss: 5.78034e-05 | Time: 7173.73 ms [2020-11-10 21:36:12 main:574] : INFO : Epoch 176 | loss: 5.29112e-05 | val_loss: 5.46998e-05 | Time: 7112 ms [2020-11-10 21:36:19 main:574] : INFO : Epoch 177 | loss: 5.21536e-05 | val_loss: 5.3527e-05 | Time: 7073.11 ms [2020-11-10 21:36:26 main:574] : INFO : Epoch 178 | loss: 5.14254e-05 | val_loss: 5.29036e-05 | Time: 7077.37 ms [2020-11-10 21:36:33 main:574] : INFO : Epoch 179 | loss: 5.00179e-05 | val_loss: 5.0836e-05 | Time: 7091.53 ms [2020-11-10 21:36:40 main:574] : INFO : Epoch 180 | loss: 4.95899e-05 | val_loss: 4.95641e-05 | Time: 7010.99 ms [2020-11-10 21:36:47 main:574] : INFO : Epoch 181 | loss: 4.8263e-05 | val_loss: 4.93998e-05 | Time: 7116.79 ms [2020-11-10 21:36:55 main:574] : INFO : Epoch 182 | loss: 4.74718e-05 | val_loss: 4.78052e-05 | Time: 7214.79 ms [2020-11-10 21:37:02 main:574] : INFO : Epoch 183 | loss: 4.67643e-05 | val_loss: 4.65961e-05 | Time: 7013.82 ms [2020-11-10 21:37:09 main:574] : INFO : Epoch 184 | loss: 4.58615e-05 | val_loss: 4.77112e-05 | Time: 7032.19 ms [2020-11-10 21:37:16 main:574] : INFO : Epoch 185 | loss: 4.5257e-05 | val_loss: 4.53726e-05 | Time: 7058.97 ms [2020-11-10 21:37:23 main:574] : INFO : Epoch 186 | loss: 4.47735e-05 | val_loss: 4.77351e-05 | Time: 7039.97 ms [2020-11-10 21:37:30 main:574] : INFO : Epoch 187 | loss: 4.42514e-05 | val_loss: 4.54329e-05 | Time: 7050.12 ms [2020-11-10 21:37:37 main:574] : INFO : Epoch 188 | loss: 4.28137e-05 | val_loss: 4.32008e-05 | Time: 7025.78 ms [2020-11-10 21:37:44 main:574] : INFO : Epoch 189 | loss: 4.28112e-05 | val_loss: 4.55716e-05 | Time: 7048.21 ms [2020-11-10 21:37:51 main:574] : INFO : Epoch 190 | loss: 4.20034e-05 | val_loss: 4.23712e-05 | Time: 7042.46 ms [2020-11-10 21:37:58 main:574] : INFO : Epoch 191 | loss: 4.14906e-05 | val_loss: 4.2015e-05 | Time: 7029.16 ms [2020-11-10 21:38:05 main:574] : INFO : Epoch 192 | loss: 4.0328e-05 | val_loss: 4.14662e-05 | Time: 6949.39 ms [2020-11-10 21:38:05 main:597] : INFO : Saving trained model to model-final.pt, val_loss 4.14662e-05 [2020-11-10 21:38:05 main:603] : INFO : Saving end state to config to file [2020-11-10 21:38:05 main:608] : INFO : Success, exiting.. 21:38:06 (12048): 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)