Task 2825016
| Name | rand_automata_0004-1604983406-880-0_2 |
| Workunit | 1263802 |
| Created | 10 Nov 2020, 23:31:35 UTC |
| Sent | 10 Nov 2020, 23:35:37 UTC |
| Report deadline | 11 Nov 2020, 22:05:37 UTC |
| Received | 11 Nov 2020, 3:10:41 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 443 |
| Run time | 50 min 21 sec |
| CPU time | 28 min 41 sec |
| Validate state | Valid |
| Credit | 959.40 |
| Device peak FLOPS | 9,073.48 GFLOPS |
| Application version | Machine Learning Dataset Generator (test) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 1.49 GB |
| Peak swap size | 3.22 GB |
| Peak disk usage | 1.54 GB |
Stderr output
<core_client_version>7.16.6</core_client_version> <![CDATA[ <stderr_txt> Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: GeForce GTX 1080) [2020-11-11 03:20:13 main:435] : INFO : Set logging level to 1 [2020-11-11 03:20:13 main:441] : INFO : Running in BOINC Client mode [2020-11-11 03:20:13 main:444] : INFO : Resolving all filenames [2020-11-11 03:20:13 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0004-train-val-dataset.hdf5 (exists = 1) [2020-11-11 03:20:13 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0004-1604983406-880-0_2_r155609760_1 (exists = 0) [2020-11-11 03:20:13 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0004-1604983406-880-0_2_r155609760_0 (exists = 0) [2020-11-11 03:20:13 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-11 03:20:13 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-11 03:20:13 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0004-train-val-dataset.hdf5 [2020-11-11 03:20:13 main:474] : INFO : Configuration: [2020-11-11 03:20:13 main:475] : INFO : Model type: LSTM [2020-11-11 03:20:13 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-11 03:20:13 main:477] : INFO : Max Epochs: 192 [2020-11-11 03:20:13 main:478] : INFO : Batch Size: 32 [2020-11-11 03:20:13 main:479] : INFO : Learning Rate: 0.001 [2020-11-11 03:20:13 main:480] : INFO : Patience: 10 [2020-11-11 03:20:13 main:481] : INFO : Hidden Width: 64 [2020-11-11 03:20:13 main:482] : INFO : # Recurrent Layers: 4 [2020-11-11 03:20:13 main:483] : INFO : # Backend Layers: 2 [2020-11-11 03:20:13 main:484] : INFO : # Threads: 1 [2020-11-11 03:20:13 main:486] : INFO : Preparing Dataset [2020-11-11 03:20:13 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0004-train-val-dataset.hdf5 into memory [2020-11-11 03:20:13 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0004-train-val-dataset.hdf5 into memory [2020-11-11 03:20:34 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-11 03:20:34 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0004-train-val-dataset.hdf5 into memory [2020-11-11 03:20:34 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0004-train-val-dataset.hdf5 into memory [2020-11-11 03:20:34 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-11 03:20:34 main:494] : INFO : Creating Model [2020-11-11 03:20:34 main:507] : INFO : Preparing config file [2020-11-11 03:20:34 main:519] : INFO : Creating new config file [2020-11-11 03:20:44 main:559] : INFO : Loading DataLoader into Memory [2020-11-11 03:20:44 main:562] : INFO : Starting Training [2020-11-11 03:21:04 main:574] : INFO : Epoch 1 | loss: 0.0658459 | val_loss: 0.0654295 | Time: 19995.4 ms [2020-11-11 03:21:21 main:574] : INFO : Epoch 2 | loss: 0.0652791 | val_loss: 0.0643295 | Time: 16745.9 ms [2020-11-11 03:21:39 main:574] : INFO : Epoch 3 | loss: 0.0631224 | val_loss: 0.0613643 | Time: 17801.6 ms [2020-11-11 03:21:57 main:574] : INFO : Epoch 4 | loss: 0.0600023 | val_loss: 0.058627 | Time: 18402.4 ms [2020-11-11 03:22:13 main:574] : INFO : Epoch 5 | loss: 0.0573503 | val_loss: 0.0564393 | Time: 16093 ms [2020-11-11 03:22:29 main:574] : INFO : Epoch 6 | loss: 0.0554748 | val_loss: 0.0549741 | Time: 16036.9 ms [2020-11-11 03:22:47 main:574] : INFO : Epoch 7 | loss: 0.0539579 | val_loss: 0.0535716 | Time: 18162.5 ms [2020-11-11 03:23:04 main:574] : INFO : Epoch 8 | loss: 0.0525957 | val_loss: 0.0522855 | Time: 16539.3 ms [2020-11-11 03:23:22 main:574] : INFO : Epoch 9 | loss: 0.0511493 | val_loss: 0.05073 | Time: 17653.5 ms [2020-11-11 03:23:38 main:574] : INFO : Epoch 10 | loss: 0.0495529 | val_loss: 0.0491073 | Time: 16245.3 ms [2020-11-11 03:23:54 main:574] : INFO : Epoch 11 | loss: 0.0476924 | val_loss: 0.0471278 | Time: 16268 ms [2020-11-11 03:24:11 main:574] : INFO : Epoch 12 | loss: 0.0455711 | val_loss: 0.0447112 | Time: 16364.6 ms [2020-11-11 03:24:28 main:574] : INFO : Epoch 13 | loss: 0.0430839 | val_loss: 0.0425966 | Time: 17214.2 ms [2020-11-11 03:24:44 main:574] : INFO : Epoch 14 | loss: 0.0405504 | val_loss: 0.0403898 | Time: 16708.6 ms [2020-11-11 03:25:01 main:574] : INFO : Epoch 15 | loss: 0.037669 | val_loss: 0.0374098 | Time: 16100.8 ms [2020-11-11 03:25:16 main:574] : INFO : Epoch 16 | loss: 0.0347109 | val_loss: 0.0346928 | Time: 15079.1 ms [2020-11-11 03:25:30 main:574] : INFO : Epoch 17 | loss: 0.0324514 | val_loss: 0.0324792 | Time: 14196.6 ms [2020-11-11 03:25:46 main:574] : INFO : Epoch 18 | loss: 0.0307308 | val_loss: 0.0495957 | Time: 15882.9 ms [2020-11-11 03:26:03 main:574] : INFO : Epoch 19 | loss: 0.0319974 | val_loss: 0.0466475 | Time: 16960.5 ms [2020-11-11 03:26:18 main:574] : INFO : Epoch 20 | loss: 0.0338671 | val_loss: 0.0294155 | Time: 15189.9 ms [2020-11-11 03:26:35 main:574] : INFO : Epoch 21 | loss: 0.0252528 | val_loss: 0.0237759 | Time: 16694.5 ms [2020-11-11 03:26:50 main:574] : INFO : Epoch 22 | loss: 0.0235957 | val_loss: 0.0249962 | Time: 15482.1 ms [2020-11-11 03:27:07 main:574] : INFO : Epoch 23 | loss: 0.0219841 | val_loss: 0.030625 | Time: 16530.3 ms [2020-11-11 03:27:23 main:574] : INFO : Epoch 24 | loss: 0.021933 | val_loss: 0.0201112 | Time: 16196.5 ms [2020-11-11 03:27:39 main:574] : INFO : Epoch 25 | loss: 0.0216989 | val_loss: 0.0192562 | Time: 15981.9 ms [2020-11-11 03:27:52 main:574] : INFO : Epoch 26 | loss: 0.0176525 | val_loss: 0.0195557 | Time: 13213.7 ms [2020-11-11 03:28:08 main:574] : INFO : Epoch 27 | loss: 0.021193 | val_loss: 0.0176967 | Time: 16000.2 ms [2020-11-11 03:28:23 main:574] : INFO : Epoch 28 | loss: 0.02037 | val_loss: 0.0190291 | Time: 14956 ms [2020-11-11 03:28:39 main:574] : INFO : Epoch 29 | loss: 0.0140566 | val_loss: 0.0138698 | Time: 15883.1 ms [2020-11-11 03:28:55 main:574] : INFO : Epoch 30 | loss: 0.0171929 | val_loss: 0.0555778 | Time: 15990.7 ms [2020-11-11 03:29:10 main:574] : INFO : Epoch 31 | loss: 0.0419201 | val_loss: 0.023487 | Time: 14911.3 ms [2020-11-11 03:29:24 main:574] : INFO : Epoch 32 | loss: 0.0218272 | val_loss: 0.0458807 | Time: 14098.5 ms [2020-11-11 03:29:40 main:574] : INFO : Epoch 33 | loss: 0.0245728 | val_loss: 0.0160787 | Time: 15746.5 ms [2020-11-11 03:29:57 main:574] : INFO : Epoch 34 | loss: 0.0136953 | val_loss: 0.0121665 | Time: 16419.1 ms [2020-11-11 03:30:13 main:574] : INFO : Epoch 35 | loss: 0.0124226 | val_loss: 0.0250469 | Time: 16152.1 ms [2020-11-11 03:30:28 main:574] : INFO : Epoch 36 | loss: 0.016886 | val_loss: 0.0117946 | Time: 15572.9 ms [2020-11-11 03:30:45 main:574] : INFO : Epoch 37 | loss: 0.0106424 | val_loss: 0.011056 | Time: 16179 ms [2020-11-11 03:31:00 main:574] : INFO : Epoch 38 | loss: 0.0123143 | val_loss: 0.0151032 | Time: 15728.3 ms [2020-11-11 03:31:16 main:574] : INFO : Epoch 39 | loss: 0.0109146 | val_loss: 0.0096262 | Time: 15392.9 ms [2020-11-11 03:31:32 main:574] : INFO : Epoch 40 | loss: 0.00875278 | val_loss: 0.00899788 | Time: 15836.2 ms [2020-11-11 03:31:47 main:574] : INFO : Epoch 41 | loss: 0.00813559 | val_loss: 0.00851684 | Time: 15863.6 ms [2020-11-11 03:32:05 main:574] : INFO : Epoch 42 | loss: 0.00770214 | val_loss: 0.00798917 | Time: 17135.6 ms [2020-11-11 03:32:19 main:574] : INFO : Epoch 43 | loss: 0.00754434 | val_loss: 0.00777772 | Time: 14848.2 ms [2020-11-11 03:32:35 main:574] : INFO : Epoch 44 | loss: 0.00708708 | val_loss: 0.00735201 | Time: 15689.7 ms [2020-11-11 03:32:51 main:574] : INFO : Epoch 45 | loss: 0.00690181 | val_loss: 0.00842161 | Time: 16129.2 ms [2020-11-11 03:33:07 main:574] : INFO : Epoch 46 | loss: 0.0191997 | val_loss: 0.0105158 | Time: 15638.9 ms [2020-11-11 03:33:21 main:574] : INFO : Epoch 47 | loss: 0.00945175 | val_loss: 0.00806828 | Time: 14226.7 ms [2020-11-11 03:33:35 main:574] : INFO : Epoch 48 | loss: 0.00798815 | val_loss: 0.00744569 | Time: 14161.3 ms [2020-11-11 03:33:52 main:574] : INFO : Epoch 49 | loss: 0.00666013 | val_loss: 0.0086829 | Time: 16212.1 ms [2020-11-11 03:34:05 main:574] : INFO : Epoch 50 | loss: 0.0090888 | val_loss: 0.00831599 | Time: 13502.6 ms [2020-11-11 03:34:21 main:574] : INFO : Epoch 51 | loss: 0.00685318 | val_loss: 0.00662717 | Time: 15669.2 ms [2020-11-11 03:34:36 main:574] : INFO : Epoch 52 | loss: 0.00630428 | val_loss: 0.00622706 | Time: 14952 ms [2020-11-11 03:34:53 main:574] : INFO : Epoch 53 | loss: 0.00585351 | val_loss: 0.00580826 | Time: 17261.3 ms [2020-11-11 03:35:10 main:574] : INFO : Epoch 54 | loss: 0.00552894 | val_loss: 0.00559047 | Time: 16796.1 ms [2020-11-11 03:35:26 main:574] : INFO : Epoch 55 | loss: 0.0053485 | val_loss: 0.00543655 | Time: 15817.3 ms [2020-11-11 03:35:42 main:574] : INFO : Epoch 56 | loss: 0.00516786 | val_loss: 0.00520552 | Time: 15939.3 ms [2020-11-11 03:35:58 main:574] : INFO : Epoch 57 | loss: 0.00500356 | val_loss: 0.00502817 | Time: 16852 ms [2020-11-11 03:36:13 main:574] : INFO : Epoch 58 | loss: 0.00484501 | val_loss: 0.00483786 | Time: 14579.3 ms [2020-11-11 03:36:27 main:574] : INFO : Epoch 59 | loss: 0.0046993 | val_loss: 0.00468728 | Time: 14207.6 ms [2020-11-11 03:36:43 main:574] : INFO : Epoch 60 | loss: 0.00454781 | val_loss: 0.00453073 | Time: 15747.4 ms [2020-11-11 03:36:59 main:574] : INFO : Epoch 61 | loss: 0.00440578 | val_loss: 0.00438786 | Time: 15651.4 ms [2020-11-11 03:37:16 main:574] : INFO : Epoch 62 | loss: 0.00426884 | val_loss: 0.00424368 | Time: 16926.6 ms [2020-11-11 03:37:30 main:574] : INFO : Epoch 63 | loss: 0.00413277 | val_loss: 0.00410034 | Time: 14604.1 ms [2020-11-11 03:37:44 main:574] : INFO : Epoch 64 | loss: 0.00399756 | val_loss: 0.00396344 | Time: 13926.1 ms [2020-11-11 03:37:58 main:574] : INFO : Epoch 65 | loss: 0.00386599 | val_loss: 0.00382326 | Time: 13557.9 ms [2020-11-11 03:38:13 main:574] : INFO : Epoch 66 | loss: 0.00373541 | val_loss: 0.00369037 | Time: 15375.2 ms [2020-11-11 03:38:28 main:574] : INFO : Epoch 67 | loss: 0.00360731 | val_loss: 0.00356043 | Time: 15121.6 ms [2020-11-11 03:38:43 main:574] : INFO : Epoch 68 | loss: 0.00348013 | val_loss: 0.00343033 | Time: 14580.7 ms [2020-11-11 03:38:58 main:574] : INFO : Epoch 69 | loss: 0.00335465 | val_loss: 0.00330457 | Time: 14852.6 ms [2020-11-11 03:39:13 main:574] : INFO : Epoch 70 | loss: 0.00323327 | val_loss: 0.00317938 | Time: 15267.9 ms [2020-11-11 03:39:29 main:574] : INFO : Epoch 71 | loss: 0.0031075 | val_loss: 0.00305818 | Time: 16138.3 ms [2020-11-11 03:39:45 main:574] : INFO : Epoch 72 | loss: 0.00298923 | val_loss: 0.00293989 | Time: 15694.3 ms [2020-11-11 03:39:59 main:574] : INFO : Epoch 73 | loss: 0.00287304 | val_loss: 0.0028215 | Time: 13637 ms [2020-11-11 03:40:15 main:574] : INFO : Epoch 74 | loss: 0.00275829 | val_loss: 0.0027099 | Time: 16740.4 ms [2020-11-11 03:40:29 main:574] : INFO : Epoch 75 | loss: 0.00264666 | val_loss: 0.00259672 | Time: 13699.1 ms [2020-11-11 03:40:46 main:574] : INFO : Epoch 76 | loss: 0.00253808 | val_loss: 0.00248987 | Time: 16988.1 ms [2020-11-11 03:41:02 main:574] : INFO : Epoch 77 | loss: 0.00243151 | val_loss: 0.00238586 | Time: 15642 ms [2020-11-11 03:41:17 main:574] : INFO : Epoch 78 | loss: 0.00232758 | val_loss: 0.00228309 | Time: 15108.5 ms [2020-11-11 03:41:34 main:574] : INFO : Epoch 79 | loss: 0.00222703 | val_loss: 0.00218493 | Time: 16747.9 ms [2020-11-11 03:41:50 main:574] : INFO : Epoch 80 | loss: 0.00212933 | val_loss: 0.00208649 | Time: 16257.8 ms [2020-11-11 03:42:05 main:574] : INFO : Epoch 81 | loss: 0.00203557 | val_loss: 0.00199421 | Time: 15072.2 ms [2020-11-11 03:42:20 main:574] : INFO : Epoch 82 | loss: 0.00194456 | val_loss: 0.00190655 | Time: 15127 ms [2020-11-11 03:42:35 main:574] : INFO : Epoch 83 | loss: 0.00185709 | val_loss: 0.00181734 | Time: 14703.4 ms [2020-11-11 03:42:51 main:574] : INFO : Epoch 84 | loss: 0.00177253 | val_loss: 0.0017348 | Time: 16448.4 ms [2020-11-11 03:43:07 main:574] : INFO : Epoch 85 | loss: 0.00169117 | val_loss: 0.00165408 | Time: 15554.1 ms [2020-11-11 03:43:23 main:574] : INFO : Epoch 86 | loss: 0.00161202 | val_loss: 0.00157759 | Time: 16321.1 ms [2020-11-11 03:43:38 main:574] : INFO : Epoch 87 | loss: 0.00153708 | val_loss: 0.00150409 | Time: 14741.6 ms [2020-11-11 03:43:55 main:574] : INFO : Epoch 88 | loss: 0.00146434 | val_loss: 0.00143363 | Time: 17232.4 ms [2020-11-11 03:44:11 main:574] : INFO : Epoch 89 | loss: 0.00139511 | val_loss: 0.00136446 | Time: 15564.6 ms [2020-11-11 03:44:22 main:574] : INFO : Epoch 90 | loss: 0.00132847 | val_loss: 0.00130116 | Time: 11143.9 ms [2020-11-11 03:44:37 main:574] : INFO : Epoch 91 | loss: 0.00126516 | val_loss: 0.00123848 | Time: 14679.9 ms [2020-11-11 03:44:52 main:574] : INFO : Epoch 92 | loss: 0.00120431 | val_loss: 0.00117937 | Time: 15245.6 ms [2020-11-11 03:45:08 main:574] : INFO : Epoch 93 | loss: 0.00114685 | val_loss: 0.00112355 | Time: 16306.5 ms [2020-11-11 03:45:24 main:574] : INFO : Epoch 94 | loss: 0.00109167 | val_loss: 0.00106809 | Time: 15859.3 ms [2020-11-11 03:45:41 main:574] : INFO : Epoch 95 | loss: 0.00103917 | val_loss: 0.00101753 | Time: 17233.9 ms [2020-11-11 03:45:55 main:574] : INFO : Epoch 96 | loss: 0.000988809 | val_loss: 0.000968639 | Time: 14106.9 ms [2020-11-11 03:46:11 main:574] : INFO : Epoch 97 | loss: 0.000941425 | val_loss: 0.000920851 | Time: 15678.6 ms [2020-11-11 03:46:26 main:574] : INFO : Epoch 98 | loss: 0.000895714 | val_loss: 0.000877313 | Time: 14933 ms [2020-11-11 03:46:43 main:574] : INFO : Epoch 99 | loss: 0.000852741 | val_loss: 0.000836423 | Time: 16744.8 ms [2020-11-11 03:46:58 main:574] : INFO : Epoch 100 | loss: 0.000811521 | val_loss: 0.000797523 | Time: 15246.9 ms [2020-11-11 03:47:14 main:574] : INFO : Epoch 101 | loss: 0.000772599 | val_loss: 0.000755945 | Time: 15944.9 ms [2020-11-11 03:47:29 main:574] : INFO : Epoch 102 | loss: 0.000734865 | val_loss: 0.000720326 | Time: 15163 ms [2020-11-11 03:47:45 main:574] : INFO : Epoch 103 | loss: 0.000699994 | val_loss: 0.000686429 | Time: 15960.7 ms [2020-11-11 03:48:01 main:574] : INFO : Epoch 104 | loss: 0.000666165 | val_loss: 0.000653492 | Time: 15972.8 ms [2020-11-11 03:48:18 main:574] : INFO : Epoch 105 | loss: 0.000633815 | val_loss: 0.000622766 | Time: 16754 ms [2020-11-11 03:48:34 main:574] : INFO : Epoch 106 | loss: 0.000603199 | val_loss: 0.000594025 | Time: 15630.3 ms [2020-11-11 03:48:50 main:574] : INFO : Epoch 107 | loss: 0.000574498 | val_loss: 0.000563759 | Time: 16475.2 ms [2020-11-11 03:49:06 main:574] : INFO : Epoch 108 | loss: 0.000546539 | val_loss: 0.000535657 | Time: 15862.3 ms [2020-11-11 03:49:22 main:574] : INFO : Epoch 109 | loss: 0.000520304 | val_loss: 0.000512794 | Time: 16243.2 ms [2020-11-11 03:49:39 main:574] : INFO : Epoch 110 | loss: 0.000495475 | val_loss: 0.000487101 | Time: 16564 ms [2020-11-11 03:49:55 main:574] : INFO : Epoch 111 | loss: 0.000471589 | val_loss: 0.000463872 | Time: 15995.8 ms [2020-11-11 03:50:12 main:574] : INFO : Epoch 112 | loss: 0.000449238 | val_loss: 0.000442829 | Time: 16681.3 ms [2020-11-11 03:50:27 main:574] : INFO : Epoch 113 | loss: 0.000427651 | val_loss: 0.000420711 | Time: 15102.6 ms [2020-11-11 03:50:45 main:574] : INFO : Epoch 114 | loss: 0.000407647 | val_loss: 0.000399216 | Time: 18069.9 ms [2020-11-11 03:51:01 main:574] : INFO : Epoch 115 | loss: 0.000388046 | val_loss: 0.000382361 | Time: 15998.6 ms [2020-11-11 03:51:19 main:574] : INFO : Epoch 116 | loss: 0.000369757 | val_loss: 0.000364435 | Time: 17563.5 ms [2020-11-11 03:51:31 main:574] : INFO : Epoch 117 | loss: 0.000352853 | val_loss: 0.00035025 | Time: 12858.3 ms [2020-11-11 03:51:50 main:574] : INFO : Epoch 118 | loss: 0.000336209 | val_loss: 0.0003307 | Time: 18254.1 ms [2020-11-11 03:52:06 main:574] : INFO : Epoch 119 | loss: 0.000320357 | val_loss: 0.00031473 | Time: 16561 ms [2020-11-11 03:52:20 main:574] : INFO : Epoch 120 | loss: 0.000305892 | val_loss: 0.000300019 | Time: 14093.9 ms [2020-11-11 03:52:35 main:574] : INFO : Epoch 121 | loss: 0.000292148 | val_loss: 0.000286515 | Time: 14914.7 ms [2020-11-11 03:52:53 main:574] : INFO : Epoch 122 | loss: 0.000278857 | val_loss: 0.000275578 | Time: 18075.7 ms [2020-11-11 03:53:09 main:574] : INFO : Epoch 123 | loss: 0.000266346 | val_loss: 0.000263415 | Time: 16009.7 ms [2020-11-11 03:53:26 main:574] : INFO : Epoch 124 | loss: 0.000254358 | val_loss: 0.00025112 | Time: 16800.5 ms [2020-11-11 03:53:41 main:574] : INFO : Epoch 125 | loss: 0.000243508 | val_loss: 0.000239384 | Time: 14984.7 ms [2020-11-11 03:53:55 main:574] : INFO : Epoch 126 | loss: 0.000232773 | val_loss: 0.000228297 | Time: 13874.9 ms [2020-11-11 03:54:12 main:574] : INFO : Epoch 127 | loss: 0.000222435 | val_loss: 0.000217576 | Time: 16815.2 ms [2020-11-11 03:54:25 main:574] : INFO : Epoch 128 | loss: 0.000212621 | val_loss: 0.00020844 | Time: 13427.4 ms [2020-11-11 03:54:41 main:574] : INFO : Epoch 129 | loss: 0.00020401 | val_loss: 0.000200184 | Time: 15671.6 ms [2020-11-11 03:54:57 main:574] : INFO : Epoch 130 | loss: 0.000195182 | val_loss: 0.000194025 | Time: 16093.2 ms [2020-11-11 03:55:13 main:574] : INFO : Epoch 131 | loss: 0.000186666 | val_loss: 0.000183891 | Time: 15381 ms [2020-11-11 03:55:29 main:574] : INFO : Epoch 132 | loss: 0.000179283 | val_loss: 0.000176352 | Time: 16484.1 ms [2020-11-11 03:55:45 main:574] : INFO : Epoch 133 | loss: 0.00017186 | val_loss: 0.000170297 | Time: 15506.6 ms [2020-11-11 03:56:00 main:574] : INFO : Epoch 134 | loss: 0.000165185 | val_loss: 0.000161861 | Time: 15038 ms [2020-11-11 03:56:16 main:574] : INFO : Epoch 135 | loss: 0.000157771 | val_loss: 0.000156285 | Time: 15847.5 ms [2020-11-11 03:56:32 main:574] : INFO : Epoch 136 | loss: 0.00015171 | val_loss: 0.00014953 | Time: 16143.1 ms [2020-11-11 03:56:47 main:574] : INFO : Epoch 137 | loss: 0.000145449 | val_loss: 0.000144757 | Time: 15763 ms [2020-11-11 03:57:02 main:574] : INFO : Epoch 138 | loss: 0.000139813 | val_loss: 0.000137161 | Time: 14923 ms [2020-11-11 03:57:19 main:574] : INFO : Epoch 139 | loss: 0.000134406 | val_loss: 0.000133699 | Time: 16712 ms [2020-11-11 03:57:34 main:574] : INFO : Epoch 140 | loss: 0.000130015 | val_loss: 0.000129045 | Time: 15186.8 ms [2020-11-11 03:57:50 main:574] : INFO : Epoch 141 | loss: 0.000124732 | val_loss: 0.000123629 | Time: 16076.8 ms [2020-11-11 03:58:04 main:574] : INFO : Epoch 142 | loss: 0.000120048 | val_loss: 0.000118143 | Time: 13724.1 ms [2020-11-11 03:58:21 main:574] : INFO : Epoch 143 | loss: 0.000115857 | val_loss: 0.000114961 | Time: 17032.6 ms [2020-11-11 03:58:35 main:574] : INFO : Epoch 144 | loss: 0.000112387 | val_loss: 0.000112105 | Time: 13374.2 ms [2020-11-11 03:58:50 main:574] : INFO : Epoch 145 | loss: 0.00010769 | val_loss: 0.000107944 | Time: 15531.6 ms [2020-11-11 03:59:06 main:574] : INFO : Epoch 146 | loss: 0.000104301 | val_loss: 0.000102637 | Time: 16086.6 ms [2020-11-11 03:59:22 main:574] : INFO : Epoch 147 | loss: 0.000100674 | val_loss: 9.96373e-05 | Time: 15691.5 ms [2020-11-11 03:59:38 main:574] : INFO : Epoch 148 | loss: 9.78486e-05 | val_loss: 9.77039e-05 | Time: 16410.6 ms [2020-11-11 03:59:52 main:574] : INFO : Epoch 149 | loss: 9.48148e-05 | val_loss: 9.28704e-05 | Time: 13576.4 ms [2020-11-11 04:00:09 main:574] : INFO : Epoch 150 | loss: 9.12599e-05 | val_loss: 8.99375e-05 | Time: 16641.3 ms [2020-11-11 04:00:24 main:574] : INFO : Epoch 151 | loss: 8.88101e-05 | val_loss: 8.97325e-05 | Time: 15030.7 ms [2020-11-11 04:00:38 main:574] : INFO : Epoch 152 | loss: 8.6423e-05 | val_loss: 8.58229e-05 | Time: 13801.7 ms [2020-11-11 04:00:54 main:574] : INFO : Epoch 153 | loss: 8.37497e-05 | val_loss: 8.28364e-05 | Time: 16308.8 ms [2020-11-11 04:01:08 main:574] : INFO : Epoch 154 | loss: 8.15288e-05 | val_loss: 7.99985e-05 | Time: 13774.9 ms [2020-11-11 04:01:22 main:574] : INFO : Epoch 155 | loss: 7.965e-05 | val_loss: 7.96126e-05 | Time: 13900.9 ms [2020-11-11 04:01:36 main:574] : INFO : Epoch 156 | loss: 7.67806e-05 | val_loss: 7.7234e-05 | Time: 14064.3 ms [2020-11-11 04:01:53 main:574] : INFO : Epoch 157 | loss: 7.46545e-05 | val_loss: 7.55294e-05 | Time: 17696.8 ms [2020-11-11 04:02:10 main:574] : INFO : Epoch 158 | loss: 7.29592e-05 | val_loss: 7.25113e-05 | Time: 16529.9 ms [2020-11-11 04:02:25 main:574] : INFO : Epoch 159 | loss: 7.09999e-05 | val_loss: 7.08998e-05 | Time: 15401.4 ms [2020-11-11 04:02:39 main:574] : INFO : Epoch 160 | loss: 6.89514e-05 | val_loss: 6.89661e-05 | Time: 13845 ms [2020-11-11 04:02:54 main:574] : INFO : Epoch 161 | loss: 6.70858e-05 | val_loss: 6.6404e-05 | Time: 14469 ms [2020-11-11 04:03:10 main:574] : INFO : Epoch 162 | loss: 6.57416e-05 | val_loss: 6.49161e-05 | Time: 16594.4 ms [2020-11-11 04:03:26 main:574] : INFO : Epoch 163 | loss: 6.39408e-05 | val_loss: 6.38544e-05 | Time: 16086.2 ms [2020-11-11 04:03:42 main:574] : INFO : Epoch 164 | loss: 6.2457e-05 | val_loss: 6.18707e-05 | Time: 15383.9 ms [2020-11-11 04:03:57 main:574] : INFO : Epoch 165 | loss: 6.09159e-05 | val_loss: 6.1338e-05 | Time: 15409.2 ms [2020-11-11 04:04:12 main:574] : INFO : Epoch 166 | loss: 5.98819e-05 | val_loss: 5.9281e-05 | Time: 14612.3 ms [2020-11-11 04:04:27 main:574] : INFO : Epoch 167 | loss: 5.84802e-05 | val_loss: 5.77644e-05 | Time: 15360.6 ms [2020-11-11 04:04:42 main:574] : INFO : Epoch 168 | loss: 5.69449e-05 | val_loss: 5.67958e-05 | Time: 14414.1 ms [2020-11-11 04:04:57 main:574] : INFO : Epoch 169 | loss: 5.54125e-05 | val_loss: 5.51761e-05 | Time: 15676.3 ms [2020-11-11 04:05:12 main:574] : INFO : Epoch 170 | loss: 5.46769e-05 | val_loss: 5.60704e-05 | Time: 14899 ms [2020-11-11 04:05:27 main:574] : INFO : Epoch 171 | loss: 5.37777e-05 | val_loss: 5.32143e-05 | Time: 14442.8 ms [2020-11-11 04:05:43 main:574] : INFO : Epoch 172 | loss: 5.23716e-05 | val_loss: 5.27313e-05 | Time: 15882.9 ms [2020-11-11 04:05:58 main:574] : INFO : Epoch 173 | loss: 5.11321e-05 | val_loss: 5.21328e-05 | Time: 15114.6 ms [2020-11-11 04:06:13 main:574] : INFO : Epoch 174 | loss: 5.02353e-05 | val_loss: 5.04474e-05 | Time: 15553.3 ms [2020-11-11 04:06:26 main:574] : INFO : Epoch 175 | loss: 4.90844e-05 | val_loss: 4.86056e-05 | Time: 12616.2 ms [2020-11-11 04:06:40 main:574] : INFO : Epoch 176 | loss: 4.82525e-05 | val_loss: 4.95616e-05 | Time: 14156.5 ms [2020-11-11 04:06:53 main:574] : INFO : Epoch 177 | loss: 4.71708e-05 | val_loss: 4.66014e-05 | Time: 12659.4 ms [2020-11-11 04:07:04 main:574] : INFO : Epoch 178 | loss: 4.60178e-05 | val_loss: 4.57766e-05 | Time: 11301.4 ms [2020-11-11 04:07:20 main:574] : INFO : Epoch 179 | loss: 4.53331e-05 | val_loss: 4.63521e-05 | Time: 15867.9 ms [2020-11-11 04:07:37 main:574] : INFO : Epoch 180 | loss: 4.46897e-05 | val_loss: 4.50837e-05 | Time: 16721.1 ms [2020-11-11 04:07:53 main:574] : INFO : Epoch 181 | loss: 4.37444e-05 | val_loss: 4.40106e-05 | Time: 16046.7 ms [2020-11-11 04:08:07 main:574] : INFO : Epoch 182 | loss: 4.29086e-05 | val_loss: 4.27825e-05 | Time: 13843.4 ms [2020-11-11 04:08:23 main:574] : INFO : Epoch 183 | loss: 4.21962e-05 | val_loss: 4.25446e-05 | Time: 16127.6 ms [2020-11-11 04:08:38 main:574] : INFO : Epoch 184 | loss: 4.18928e-05 | val_loss: 4.11293e-05 | Time: 15511.2 ms [2020-11-11 04:08:54 main:574] : INFO : Epoch 185 | loss: 4.0791e-05 | val_loss: 4.08745e-05 | Time: 15354 ms [2020-11-11 04:09:07 main:574] : INFO : Epoch 186 | loss: 4.00891e-05 | val_loss: 4.18544e-05 | Time: 12944.1 ms [2020-11-11 04:09:18 main:574] : INFO : Epoch 187 | loss: 3.92769e-05 | val_loss: 4.06282e-05 | Time: 11227 ms [2020-11-11 04:09:28 main:574] : INFO : Epoch 188 | loss: 3.88911e-05 | val_loss: 4.19388e-05 | Time: 10505.7 ms [2020-11-11 04:09:43 main:574] : INFO : Epoch 189 | loss: 3.80634e-05 | val_loss: 3.84926e-05 | Time: 14398.3 ms [2020-11-11 04:09:58 main:574] : INFO : Epoch 190 | loss: 3.76164e-05 | val_loss: 3.69868e-05 | Time: 15035.4 ms [2020-11-11 04:10:12 main:574] : INFO : Epoch 191 | loss: 3.69368e-05 | val_loss: 3.7303e-05 | Time: 14226.4 ms [2020-11-11 04:10:28 main:574] : INFO : Epoch 192 | loss: 3.65867e-05 | val_loss: 3.62386e-05 | Time: 15981.7 ms [2020-11-11 04:10:28 main:597] : INFO : Saving trained model to model-final.pt, val_loss 3.62386e-05 [2020-11-11 04:10:28 main:603] : INFO : Saving end state to config to file [2020-11-11 04:10:28 main:608] : INFO : Success, exiting.. 04:10:28 (52248): 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)