| Name | rand_automata_0055-1604947874-32412-0_1 |
| Workunit | 1259629 |
| Created | 9 Nov 2020, 19:00:31 UTC |
| Sent | 9 Nov 2020, 19:02:06 UTC |
| Report deadline | 10 Nov 2020, 17:32:06 UTC |
| Received | 10 Nov 2020, 7:44:21 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 596 |
| Run time | 51 min 17 sec |
| CPU time | 49 min 52 sec |
| Validate state | Valid |
| Credit | 959.40 |
| Device peak FLOPS | 7,315.00 GFLOPS |
| Application version | Machine Learning Dataset Generator (test) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 1.97 GB |
| Peak swap size | 3.93 GB |
| Peak disk usage | 1.54 GB |
<core_client_version>7.14.2</core_client_version> <![CDATA[ <stderr_txt> Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: GeForce RTX 2060 SUPER) [2020-11-10 07:52:52 main:435] : INFO : Set logging level to 1 [2020-11-10 07:52:52 main:441] : INFO : Running in BOINC Client mode [2020-11-10 07:52:52 main:444] : INFO : Resolving all filenames [2020-11-10 07:52:52 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0055-train-val-dataset.hdf5 (exists = 1) [2020-11-10 07:52:52 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0055-1604947874-32412-0_1_r686170600_1 (exists = 0) [2020-11-10 07:52:53 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0055-1604947874-32412-0_1_r686170600_0 (exists = 0) [2020-11-10 07:52:53 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-10 07:52:53 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-10 07:52:53 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0055-train-val-dataset.hdf5 [2020-11-10 07:52:53 main:474] : INFO : Configuration: [2020-11-10 07:52:53 main:475] : INFO : Model type: LSTM [2020-11-10 07:52:53 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-10 07:52:53 main:477] : INFO : Max Epochs: 192 [2020-11-10 07:52:53 main:478] : INFO : Batch Size: 32 [2020-11-10 07:52:53 main:479] : INFO : Learning Rate: 0.001 [2020-11-10 07:52:53 main:480] : INFO : Patience: 10 [2020-11-10 07:52:53 main:481] : INFO : Hidden Width: 64 [2020-11-10 07:52:53 main:482] : INFO : # Recurrent Layers: 4 [2020-11-10 07:52:53 main:483] : INFO : # Backend Layers: 2 [2020-11-10 07:52:53 main:484] : INFO : # Threads: 1 [2020-11-10 07:52:53 main:486] : INFO : Preparing Dataset [2020-11-10 07:52:53 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0055-train-val-dataset.hdf5 into memory [2020-11-10 07:52:53 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0055-train-val-dataset.hdf5 into memory [2020-11-10 07:52:59 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-10 07:52:59 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0055-train-val-dataset.hdf5 into memory [2020-11-10 07:52:59 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0055-train-val-dataset.hdf5 into memory [2020-11-10 07:52:59 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-10 07:52:59 main:494] : INFO : Creating Model [2020-11-10 07:52:59 main:507] : INFO : Preparing config file [2020-11-10 07:52:59 main:519] : INFO : Creating new config file [2020-11-10 07:53:04 main:559] : INFO : Loading DataLoader into Memory [2020-11-10 07:53:05 main:562] : INFO : Starting Training [2020-11-10 07:53:21 main:574] : INFO : Epoch 1 | loss: 0.0652194 | val_loss: 0.0650597 | Time: 16909.7 ms [2020-11-10 07:53:37 main:574] : INFO : Epoch 2 | loss: 0.0628587 | val_loss: 0.0608944 | Time: 15917.5 ms [2020-11-10 07:53:53 main:574] : INFO : Epoch 3 | loss: 0.059401 | val_loss: 0.057904 | Time: 15978.6 ms [2020-11-10 07:54:09 main:574] : INFO : Epoch 4 | loss: 0.0567322 | val_loss: 0.0555658 | Time: 16018 ms [2020-11-10 07:54:26 main:574] : INFO : Epoch 5 | loss: 0.0546735 | val_loss: 0.0538965 | Time: 15999.9 ms [2020-11-10 07:54:42 main:574] : INFO : Epoch 6 | loss: 0.0532197 | val_loss: 0.0527059 | Time: 15967.3 ms [2020-11-10 07:54:57 main:574] : INFO : Epoch 7 | loss: 0.0520339 | val_loss: 0.0515525 | Time: 15922.9 ms [2020-11-10 07:55:13 main:574] : INFO : Epoch 8 | loss: 0.0509261 | val_loss: 0.0504392 | Time: 15594.9 ms [2020-11-10 07:55:29 main:574] : INFO : Epoch 9 | loss: 0.0498301 | val_loss: 0.0494359 | Time: 15665.3 ms [2020-11-10 07:55:45 main:574] : INFO : Epoch 10 | loss: 0.0487869 | val_loss: 0.0484131 | Time: 15865.7 ms [2020-11-10 07:56:01 main:574] : INFO : Epoch 11 | loss: 0.0475992 | val_loss: 0.047546 | Time: 15884.7 ms [2020-11-10 07:56:17 main:574] : INFO : Epoch 12 | loss: 0.0464275 | val_loss: 0.0461829 | Time: 15959.2 ms [2020-11-10 07:56:33 main:574] : INFO : Epoch 13 | loss: 0.0450152 | val_loss: 0.0449475 | Time: 15797.1 ms [2020-11-10 07:56:48 main:574] : INFO : Epoch 14 | loss: 0.0435209 | val_loss: 0.0436222 | Time: 15769.1 ms [2020-11-10 07:57:04 main:574] : INFO : Epoch 15 | loss: 0.0419439 | val_loss: 0.041832 | Time: 15787.4 ms [2020-11-10 07:57:20 main:574] : INFO : Epoch 16 | loss: 0.0399584 | val_loss: 0.0397335 | Time: 15626.6 ms [2020-11-10 07:57:36 main:574] : INFO : Epoch 17 | loss: 0.0376837 | val_loss: 0.0378964 | Time: 15884.7 ms [2020-11-10 07:57:52 main:574] : INFO : Epoch 18 | loss: 0.0352428 | val_loss: 0.0350407 | Time: 15927.6 ms [2020-11-10 07:58:08 main:574] : INFO : Epoch 19 | loss: 0.0320657 | val_loss: 0.0325987 | Time: 15878.7 ms [2020-11-10 07:58:24 main:574] : INFO : Epoch 20 | loss: 0.0293254 | val_loss: 0.0290014 | Time: 15890.7 ms [2020-11-10 07:58:40 main:574] : INFO : Epoch 21 | loss: 0.0261902 | val_loss: 0.0272065 | Time: 16005.9 ms [2020-11-10 07:58:56 main:574] : INFO : Epoch 22 | loss: 0.0232757 | val_loss: 0.0287983 | Time: 15886.6 ms [2020-11-10 07:59:11 main:574] : INFO : Epoch 23 | loss: 0.0233813 | val_loss: 0.0268425 | Time: 15776 ms [2020-11-10 07:59:27 main:574] : INFO : Epoch 24 | loss: 0.0248705 | val_loss: 0.0249937 | Time: 15851.1 ms [2020-11-10 07:59:43 main:574] : INFO : Epoch 25 | loss: 0.0208363 | val_loss: 0.015936 | Time: 16014.8 ms [2020-11-10 07:59:59 main:574] : INFO : Epoch 26 | loss: 0.0179197 | val_loss: 0.0342928 | Time: 15826.4 ms [2020-11-10 08:00:15 main:574] : INFO : Epoch 27 | loss: 0.0201227 | val_loss: 0.0681866 | Time: 15890 ms [2020-11-10 08:00:31 main:574] : INFO : Epoch 28 | loss: 0.0568895 | val_loss: 0.0534974 | Time: 15914.6 ms [2020-11-10 08:00:47 main:574] : INFO : Epoch 29 | loss: 0.0486294 | val_loss: 0.0411212 | Time: 15911.2 ms [2020-11-10 08:01:03 main:574] : INFO : Epoch 30 | loss: 0.0315721 | val_loss: 0.0269173 | Time: 15872.4 ms [2020-11-10 08:01:19 main:574] : INFO : Epoch 31 | loss: 0.0214304 | val_loss: 0.0242517 | Time: 15694.7 ms [2020-11-10 08:01:35 main:574] : INFO : Epoch 32 | loss: 0.0201103 | val_loss: 0.0179109 | Time: 15822.6 ms [2020-11-10 08:01:50 main:574] : INFO : Epoch 33 | loss: 0.0173399 | val_loss: 0.0148565 | Time: 15865 ms [2020-11-10 08:02:06 main:574] : INFO : Epoch 34 | loss: 0.0120843 | val_loss: 0.0116715 | Time: 15886.7 ms [2020-11-10 08:02:22 main:574] : INFO : Epoch 35 | loss: 0.0104556 | val_loss: 0.0101647 | Time: 15946.3 ms [2020-11-10 08:02:38 main:574] : INFO : Epoch 36 | loss: 0.00947323 | val_loss: 0.00982972 | Time: 15858.4 ms [2020-11-10 08:02:54 main:574] : INFO : Epoch 37 | loss: 0.0227427 | val_loss: 0.0217898 | Time: 15960.6 ms [2020-11-10 08:03:10 main:574] : INFO : Epoch 38 | loss: 0.0129765 | val_loss: 0.0100214 | Time: 15875.8 ms [2020-11-10 08:03:26 main:574] : INFO : Epoch 39 | loss: 0.00974418 | val_loss: 0.0104272 | Time: 15718.9 ms [2020-11-10 08:03:42 main:574] : INFO : Epoch 40 | loss: 0.00889381 | val_loss: 0.00906959 | Time: 15858.2 ms [2020-11-10 08:03:58 main:574] : INFO : Epoch 41 | loss: 0.00818051 | val_loss: 0.00819394 | Time: 15755.8 ms [2020-11-10 08:04:14 main:574] : INFO : Epoch 42 | loss: 0.00775565 | val_loss: 0.00783095 | Time: 15876.8 ms [2020-11-10 08:04:30 main:574] : INFO : Epoch 43 | loss: 0.00752939 | val_loss: 0.00756381 | Time: 15954.3 ms [2020-11-10 08:04:46 main:574] : INFO : Epoch 44 | loss: 0.00719292 | val_loss: 0.00724639 | Time: 15902 ms [2020-11-10 08:05:01 main:574] : INFO : Epoch 45 | loss: 0.00695452 | val_loss: 0.00709487 | Time: 15838.4 ms [2020-11-10 08:05:17 main:574] : INFO : Epoch 46 | loss: 0.00674485 | val_loss: 0.00677689 | Time: 15674.9 ms [2020-11-10 08:05:33 main:574] : INFO : Epoch 47 | loss: 0.00652866 | val_loss: 0.00656818 | Time: 15742.6 ms [2020-11-10 08:05:49 main:574] : INFO : Epoch 48 | loss: 0.00632918 | val_loss: 0.00636103 | Time: 15776 ms [2020-11-10 08:06:05 main:574] : INFO : Epoch 49 | loss: 0.0061383 | val_loss: 0.00614964 | Time: 15912.5 ms [2020-11-10 08:06:21 main:574] : INFO : Epoch 50 | loss: 0.00595042 | val_loss: 0.00594415 | Time: 15950.6 ms [2020-11-10 08:06:37 main:574] : INFO : Epoch 51 | loss: 0.00577054 | val_loss: 0.00575152 | Time: 15997.2 ms [2020-11-10 08:06:53 main:574] : INFO : Epoch 52 | loss: 0.005586 | val_loss: 0.00558123 | Time: 15884.8 ms [2020-11-10 08:07:09 main:574] : INFO : Epoch 53 | loss: 0.00542064 | val_loss: 0.00540209 | Time: 15857.4 ms [2020-11-10 08:07:24 main:574] : INFO : Epoch 54 | loss: 0.00522945 | val_loss: 0.00521417 | Time: 15848.7 ms [2020-11-10 08:07:40 main:574] : INFO : Epoch 55 | loss: 0.00505596 | val_loss: 0.00503964 | Time: 15656.2 ms [2020-11-10 08:07:56 main:574] : INFO : Epoch 56 | loss: 0.00488729 | val_loss: 0.0048716 | Time: 15973.8 ms [2020-11-10 08:08:12 main:574] : INFO : Epoch 57 | loss: 0.00472071 | val_loss: 0.0047004 | Time: 15987.6 ms [2020-11-10 08:08:28 main:574] : INFO : Epoch 58 | loss: 0.00455775 | val_loss: 0.00453513 | Time: 15935.7 ms [2020-11-10 08:08:44 main:574] : INFO : Epoch 59 | loss: 0.00439719 | val_loss: 0.00437122 | Time: 15867.6 ms [2020-11-10 08:09:00 main:574] : INFO : Epoch 60 | loss: 0.00424033 | val_loss: 0.00421614 | Time: 15891.3 ms [2020-11-10 08:09:16 main:574] : INFO : Epoch 61 | loss: 0.00408485 | val_loss: 0.00405591 | Time: 15938.9 ms [2020-11-10 08:09:32 main:574] : INFO : Epoch 62 | loss: 0.00393308 | val_loss: 0.00390398 | Time: 15690.5 ms [2020-11-10 08:09:48 main:574] : INFO : Epoch 63 | loss: 0.00378502 | val_loss: 0.00374958 | Time: 15946.2 ms [2020-11-10 08:10:04 main:574] : INFO : Epoch 64 | loss: 0.00363714 | val_loss: 0.00360533 | Time: 16070.9 ms [2020-11-10 08:10:20 main:574] : INFO : Epoch 65 | loss: 0.00349427 | val_loss: 0.00346131 | Time: 15930.5 ms [2020-11-10 08:10:36 main:574] : INFO : Epoch 66 | loss: 0.0033537 | val_loss: 0.00332016 | Time: 15856.9 ms [2020-11-10 08:10:52 main:574] : INFO : Epoch 67 | loss: 0.00321895 | val_loss: 0.00318202 | Time: 16038.6 ms [2020-11-10 08:11:08 main:574] : INFO : Epoch 68 | loss: 0.00308628 | val_loss: 0.00304958 | Time: 15815.2 ms [2020-11-10 08:11:23 main:574] : INFO : Epoch 69 | loss: 0.00295627 | val_loss: 0.00291978 | Time: 15734 ms [2020-11-10 08:11:39 main:574] : INFO : Epoch 70 | loss: 0.00283154 | val_loss: 0.00279542 | Time: 15710.1 ms [2020-11-10 08:11:55 main:574] : INFO : Epoch 71 | loss: 0.00270948 | val_loss: 0.00267363 | Time: 15976.5 ms [2020-11-10 08:12:11 main:574] : INFO : Epoch 72 | loss: 0.00259249 | val_loss: 0.00255488 | Time: 15629.9 ms [2020-11-10 08:12:27 main:574] : INFO : Epoch 73 | loss: 0.0024787 | val_loss: 0.00244194 | Time: 15651.7 ms [2020-11-10 08:12:43 main:574] : INFO : Epoch 74 | loss: 0.00236883 | val_loss: 0.00233277 | Time: 15949.1 ms [2020-11-10 08:12:58 main:574] : INFO : Epoch 75 | loss: 0.00226342 | val_loss: 0.00222895 | Time: 15904.5 ms [2020-11-10 08:13:14 main:574] : INFO : Epoch 76 | loss: 0.00216197 | val_loss: 0.00212903 | Time: 15958.8 ms [2020-11-10 08:13:30 main:574] : INFO : Epoch 77 | loss: 0.00206463 | val_loss: 0.00202954 | Time: 15884.2 ms [2020-11-10 08:13:46 main:574] : INFO : Epoch 78 | loss: 0.00197032 | val_loss: 0.00193908 | Time: 15904 ms [2020-11-10 08:14:02 main:574] : INFO : Epoch 79 | loss: 0.00187998 | val_loss: 0.0018477 | Time: 15932.4 ms [2020-11-10 08:14:18 main:574] : INFO : Epoch 80 | loss: 0.00179396 | val_loss: 0.00176131 | Time: 15906.9 ms [2020-11-10 08:14:34 main:574] : INFO : Epoch 81 | loss: 0.00171055 | val_loss: 0.00167984 | Time: 15869.5 ms [2020-11-10 08:14:50 main:574] : INFO : Epoch 82 | loss: 0.00163145 | val_loss: 0.00160131 | Time: 16204.7 ms [2020-11-10 08:15:06 main:574] : INFO : Epoch 83 | loss: 0.00155582 | val_loss: 0.00152657 | Time: 15914.5 ms [2020-11-10 08:15:22 main:574] : INFO : Epoch 84 | loss: 0.0014825 | val_loss: 0.00145378 | Time: 15724.3 ms [2020-11-10 08:15:38 main:574] : INFO : Epoch 85 | loss: 0.00141315 | val_loss: 0.00138499 | Time: 15691.3 ms [2020-11-10 08:15:54 main:574] : INFO : Epoch 86 | loss: 0.00134521 | val_loss: 0.0013182 | Time: 15715.2 ms [2020-11-10 08:16:09 main:574] : INFO : Epoch 87 | loss: 0.00128105 | val_loss: 0.00125347 | Time: 15670.7 ms [2020-11-10 08:16:25 main:574] : INFO : Epoch 88 | loss: 0.00121918 | val_loss: 0.00119295 | Time: 15974.6 ms [2020-11-10 08:16:41 main:574] : INFO : Epoch 89 | loss: 0.00115957 | val_loss: 0.00113247 | Time: 15729.1 ms [2020-11-10 08:16:57 main:574] : INFO : Epoch 90 | loss: 0.00110321 | val_loss: 0.00108084 | Time: 15793.5 ms [2020-11-10 08:17:13 main:574] : INFO : Epoch 91 | loss: 0.00105006 | val_loss: 0.00102792 | Time: 15771.1 ms [2020-11-10 08:17:29 main:574] : INFO : Epoch 92 | loss: 0.000999974 | val_loss: 0.000977223 | Time: 15898.3 ms [2020-11-10 08:17:44 main:574] : INFO : Epoch 93 | loss: 0.000952042 | val_loss: 0.000928036 | Time: 15638.2 ms [2020-11-10 08:18:00 main:574] : INFO : Epoch 94 | loss: 0.000906315 | val_loss: 0.000886795 | Time: 15937.6 ms [2020-11-10 08:18:16 main:574] : INFO : Epoch 95 | loss: 0.000863055 | val_loss: 0.000842925 | Time: 15817.9 ms [2020-11-10 08:18:32 main:574] : INFO : Epoch 96 | loss: 0.000822185 | val_loss: 0.000802297 | Time: 15823.7 ms [2020-11-10 08:18:48 main:574] : INFO : Epoch 97 | loss: 0.000783155 | val_loss: 0.000765425 | Time: 15884 ms [2020-11-10 08:19:04 main:574] : INFO : Epoch 98 | loss: 0.000745969 | val_loss: 0.00073002 | Time: 15952.9 ms [2020-11-10 08:19:20 main:574] : INFO : Epoch 99 | loss: 0.00071118 | val_loss: 0.000698031 | Time: 15769.7 ms [2020-11-10 08:19:36 main:574] : INFO : Epoch 100 | loss: 0.000678088 | val_loss: 0.000664717 | Time: 15759.2 ms [2020-11-10 08:19:51 main:574] : INFO : Epoch 101 | loss: 0.000646369 | val_loss: 0.000629635 | Time: 15675.1 ms [2020-11-10 08:20:07 main:574] : INFO : Epoch 102 | loss: 0.000616561 | val_loss: 0.0006028 | Time: 15856.4 ms [2020-11-10 08:20:23 main:574] : INFO : Epoch 103 | loss: 0.000588943 | val_loss: 0.000577463 | Time: 16062.9 ms [2020-11-10 08:20:39 main:574] : INFO : Epoch 104 | loss: 0.00056179 | val_loss: 0.000548484 | Time: 15905.5 ms [2020-11-10 08:20:55 main:574] : INFO : Epoch 105 | loss: 0.000536386 | val_loss: 0.000526352 | Time: 16006.2 ms [2020-11-10 08:21:11 main:574] : INFO : Epoch 106 | loss: 0.000512986 | val_loss: 0.000500623 | Time: 15868 ms [2020-11-10 08:21:27 main:574] : INFO : Epoch 107 | loss: 0.000490198 | val_loss: 0.000480268 | Time: 15871.4 ms [2020-11-10 08:21:43 main:574] : INFO : Epoch 108 | loss: 0.000468638 | val_loss: 0.000459363 | Time: 15631.9 ms [2020-11-10 08:21:59 main:574] : INFO : Epoch 109 | loss: 0.000448626 | val_loss: 0.000439274 | Time: 15813 ms [2020-11-10 08:22:15 main:574] : INFO : Epoch 110 | loss: 0.000430025 | val_loss: 0.000420841 | Time: 15771.1 ms [2020-11-10 08:22:31 main:574] : INFO : Epoch 111 | loss: 0.000411517 | val_loss: 0.000403314 | Time: 15931.1 ms [2020-11-10 08:22:46 main:574] : INFO : Epoch 112 | loss: 0.000394035 | val_loss: 0.000387423 | Time: 15870.5 ms [2020-11-10 08:23:02 main:574] : INFO : Epoch 113 | loss: 0.000377914 | val_loss: 0.000368435 | Time: 15864.4 ms [2020-11-10 08:23:18 main:574] : INFO : Epoch 114 | loss: 0.00036184 | val_loss: 0.000354914 | Time: 15766.9 ms [2020-11-10 08:23:34 main:574] : INFO : Epoch 115 | loss: 0.000347803 | val_loss: 0.000342322 | Time: 15757.8 ms [2020-11-10 08:23:50 main:574] : INFO : Epoch 116 | loss: 0.000333834 | val_loss: 0.000327489 | Time: 15756.7 ms [2020-11-10 08:24:06 main:574] : INFO : Epoch 117 | loss: 0.000320214 | val_loss: 0.000314192 | Time: 15930.3 ms [2020-11-10 08:24:22 main:574] : INFO : Epoch 118 | loss: 0.000308796 | val_loss: 0.000301378 | Time: 15767 ms [2020-11-10 08:24:37 main:574] : INFO : Epoch 119 | loss: 0.000296272 | val_loss: 0.000292638 | Time: 15921.8 ms [2020-11-10 08:24:53 main:574] : INFO : Epoch 120 | loss: 0.000284588 | val_loss: 0.000281491 | Time: 15912 ms [2020-11-10 08:25:09 main:574] : INFO : Epoch 121 | loss: 0.000274622 | val_loss: 0.000270701 | Time: 15930.2 ms [2020-11-10 08:25:25 main:574] : INFO : Epoch 122 | loss: 0.000263598 | val_loss: 0.000258893 | Time: 15822.2 ms [2020-11-10 08:25:41 main:574] : INFO : Epoch 123 | loss: 0.000254351 | val_loss: 0.000250547 | Time: 15748.6 ms [2020-11-10 08:25:57 main:574] : INFO : Epoch 124 | loss: 0.000245469 | val_loss: 0.00024108 | Time: 15903 ms [2020-11-10 08:26:13 main:574] : INFO : Epoch 125 | loss: 0.000236052 | val_loss: 0.000232941 | Time: 15839.4 ms [2020-11-10 08:26:29 main:574] : INFO : Epoch 126 | loss: 0.000228685 | val_loss: 0.000228692 | Time: 15865.2 ms [2020-11-10 08:26:45 main:574] : INFO : Epoch 127 | loss: 0.000220619 | val_loss: 0.000216059 | Time: 15768.1 ms [2020-11-10 08:27:01 main:574] : INFO : Epoch 128 | loss: 0.000212951 | val_loss: 0.000208196 | Time: 15864.8 ms [2020-11-10 08:27:16 main:574] : INFO : Epoch 129 | loss: 0.000205743 | val_loss: 0.000203169 | Time: 15898.2 ms [2020-11-10 08:27:32 main:574] : INFO : Epoch 130 | loss: 0.000198907 | val_loss: 0.000194161 | Time: 15843.6 ms [2020-11-10 08:27:48 main:574] : INFO : Epoch 131 | loss: 0.000192836 | val_loss: 0.000192359 | Time: 15618.3 ms [2020-11-10 08:28:04 main:574] : INFO : Epoch 132 | loss: 0.000186064 | val_loss: 0.000183531 | Time: 15790.6 ms [2020-11-10 08:28:20 main:574] : INFO : Epoch 133 | loss: 0.00018129 | val_loss: 0.000178133 | Time: 15756.5 ms [2020-11-10 08:28:35 main:574] : INFO : Epoch 134 | loss: 0.000175379 | val_loss: 0.000173544 | Time: 15837.5 ms [2020-11-10 08:28:51 main:574] : INFO : Epoch 135 | loss: 0.000170133 | val_loss: 0.000166813 | Time: 15832 ms [2020-11-10 08:29:07 main:574] : INFO : Epoch 136 | loss: 0.000164781 | val_loss: 0.000163715 | Time: 15969 ms [2020-11-10 08:29:23 main:574] : INFO : Epoch 137 | loss: 0.000160309 | val_loss: 0.000157108 | Time: 15980.1 ms [2020-11-10 08:29:39 main:574] : INFO : Epoch 138 | loss: 0.000155374 | val_loss: 0.000154603 | Time: 15886.5 ms [2020-11-10 08:29:55 main:574] : INFO : Epoch 139 | loss: 0.000151529 | val_loss: 0.000149574 | Time: 15860.2 ms [2020-11-10 08:30:11 main:574] : INFO : Epoch 140 | loss: 0.000147064 | val_loss: 0.000145484 | Time: 15824.6 ms [2020-11-10 08:30:27 main:574] : INFO : Epoch 141 | loss: 0.000143421 | val_loss: 0.000142387 | Time: 15968.8 ms [2020-11-10 08:30:43 main:574] : INFO : Epoch 142 | loss: 0.000139689 | val_loss: 0.000137267 | Time: 15781.1 ms [2020-11-10 08:30:59 main:574] : INFO : Epoch 143 | loss: 0.000135477 | val_loss: 0.000134302 | Time: 15784.8 ms [2020-11-10 08:31:15 main:574] : INFO : Epoch 144 | loss: 0.000132435 | val_loss: 0.000129922 | Time: 15843.2 ms [2020-11-10 08:31:31 main:574] : INFO : Epoch 145 | loss: 0.000128964 | val_loss: 0.000127881 | Time: 15893 ms [2020-11-10 08:31:46 main:574] : INFO : Epoch 146 | loss: 0.000125239 | val_loss: 0.000124848 | Time: 15759 ms [2020-11-10 08:32:02 main:574] : INFO : Epoch 147 | loss: 0.000122574 | val_loss: 0.000120414 | Time: 15747.1 ms [2020-11-10 08:32:18 main:574] : INFO : Epoch 148 | loss: 0.000119743 | val_loss: 0.000118676 | Time: 15821.5 ms [2020-11-10 08:32:34 main:574] : INFO : Epoch 149 | loss: 0.000116383 | val_loss: 0.000115687 | Time: 15837.3 ms [2020-11-10 08:32:50 main:574] : INFO : Epoch 150 | loss: 0.000113834 | val_loss: 0.000111432 | Time: 15969.7 ms [2020-11-10 08:33:06 main:574] : INFO : Epoch 151 | loss: 0.000111108 | val_loss: 0.000111309 | Time: 15968.6 ms [2020-11-10 08:33:22 main:574] : INFO : Epoch 152 | loss: 0.000109051 | val_loss: 0.000110459 | Time: 15854.1 ms [2020-11-10 08:33:38 main:574] : INFO : Epoch 153 | loss: 0.0001062 | val_loss: 0.000105094 | Time: 15880.4 ms [2020-11-10 08:33:54 main:574] : INFO : Epoch 154 | loss: 0.000103451 | val_loss: 0.000107142 | Time: 15836.8 ms [2020-11-10 08:34:10 main:574] : INFO : Epoch 155 | loss: 0.000101833 | val_loss: 9.95479e-05 | Time: 15878.2 ms [2020-11-10 08:34:25 main:574] : INFO : Epoch 156 | loss: 9.96376e-05 | val_loss: 9.82228e-05 | Time: 15760.7 ms [2020-11-10 08:34:41 main:574] : INFO : Epoch 157 | loss: 9.75229e-05 | val_loss: 9.56548e-05 | Time: 15820.9 ms [2020-11-10 08:34:57 main:574] : INFO : Epoch 158 | loss: 9.48592e-05 | val_loss: 9.43831e-05 | Time: 15814.8 ms [2020-11-10 08:35:13 main:574] : INFO : Epoch 159 | loss: 9.30886e-05 | val_loss: 9.25402e-05 | Time: 16004.1 ms [2020-11-10 08:35:29 main:574] : INFO : Epoch 160 | loss: 9.11883e-05 | val_loss: 8.94697e-05 | Time: 15867.1 ms [2020-11-10 08:35:45 main:574] : INFO : Epoch 161 | loss: 8.92943e-05 | val_loss: 9.09295e-05 | Time: 15818.5 ms [2020-11-10 08:36:01 main:574] : INFO : Epoch 162 | loss: 8.75997e-05 | val_loss: 8.75651e-05 | Time: 15725.1 ms [2020-11-10 08:36:17 main:574] : INFO : Epoch 163 | loss: 8.60573e-05 | val_loss: 8.4624e-05 | Time: 15767.6 ms [2020-11-10 08:36:32 main:574] : INFO : Epoch 164 | loss: 8.40884e-05 | val_loss: 8.49755e-05 | Time: 15700.7 ms [2020-11-10 08:36:48 main:574] : INFO : Epoch 165 | loss: 8.2622e-05 | val_loss: 8.29597e-05 | Time: 15822 ms [2020-11-10 08:37:04 main:574] : INFO : Epoch 166 | loss: 8.08641e-05 | val_loss: 7.9409e-05 | Time: 15759.9 ms [2020-11-10 08:37:20 main:574] : INFO : Epoch 167 | loss: 7.93698e-05 | val_loss: 7.85276e-05 | Time: 16087.1 ms [2020-11-10 08:37:36 main:574] : INFO : Epoch 168 | loss: 7.80198e-05 | val_loss: 7.76321e-05 | Time: 15948.1 ms [2020-11-10 08:37:52 main:574] : INFO : Epoch 169 | loss: 7.61345e-05 | val_loss: 7.649e-05 | Time: 16082.4 ms [2020-11-10 08:38:08 main:574] : INFO : Epoch 170 | loss: 7.50917e-05 | val_loss: 7.56464e-05 | Time: 15823.1 ms [2020-11-10 08:38:24 main:574] : INFO : Epoch 171 | loss: 7.34869e-05 | val_loss: 7.41182e-05 | Time: 15812.4 ms [2020-11-10 08:38:40 main:574] : INFO : Epoch 172 | loss: 7.27684e-05 | val_loss: 7.11697e-05 | Time: 15856.8 ms [2020-11-10 08:38:56 main:574] : INFO : Epoch 173 | loss: 7.1094e-05 | val_loss: 7.2548e-05 | Time: 15952.7 ms [2020-11-10 08:39:12 main:574] : INFO : Epoch 174 | loss: 6.98033e-05 | val_loss: 6.90416e-05 | Time: 15940.4 ms [2020-11-10 08:39:28 main:574] : INFO : Epoch 175 | loss: 6.83719e-05 | val_loss: 6.80001e-05 | Time: 15745.5 ms [2020-11-10 08:39:44 main:574] : INFO : Epoch 176 | loss: 6.75855e-05 | val_loss: 6.68515e-05 | Time: 15979.7 ms [2020-11-10 08:39:59 main:574] : INFO : Epoch 177 | loss: 6.63512e-05 | val_loss: 6.63107e-05 | Time: 15678 ms [2020-11-10 08:40:15 main:574] : INFO : Epoch 178 | loss: 6.50698e-05 | val_loss: 6.57343e-05 | Time: 15762 ms [2020-11-10 08:40:31 main:574] : INFO : Epoch 179 | loss: 6.44402e-05 | val_loss: 6.47705e-05 | Time: 15710.4 ms [2020-11-10 08:40:47 main:574] : INFO : Epoch 180 | loss: 6.33326e-05 | val_loss: 6.36399e-05 | Time: 15769.3 ms [2020-11-10 08:41:03 main:574] : INFO : Epoch 181 | loss: 6.21229e-05 | val_loss: 6.22774e-05 | Time: 15909.4 ms [2020-11-10 08:41:19 main:574] : INFO : Epoch 182 | loss: 6.1958e-05 | val_loss: 6.22437e-05 | Time: 15922.8 ms [2020-11-10 08:41:35 main:574] : INFO : Epoch 183 | loss: 6.03202e-05 | val_loss: 6.05499e-05 | Time: 15891.6 ms [2020-11-10 08:41:51 main:574] : INFO : Epoch 184 | loss: 5.95581e-05 | val_loss: 6.03267e-05 | Time: 15940.2 ms [2020-11-10 08:42:07 main:574] : INFO : Epoch 185 | loss: 5.83806e-05 | val_loss: 5.82696e-05 | Time: 15960.9 ms [2020-11-10 08:42:23 main:574] : INFO : Epoch 186 | loss: 5.75208e-05 | val_loss: 5.7756e-05 | Time: 15893.3 ms [2020-11-10 08:42:38 main:574] : INFO : Epoch 187 | loss: 5.69688e-05 | val_loss: 5.62305e-05 | Time: 15740 ms [2020-11-10 08:42:54 main:574] : INFO : Epoch 188 | loss: 5.57087e-05 | val_loss: 5.56214e-05 | Time: 15852.2 ms [2020-11-10 08:43:10 main:574] : INFO : Epoch 189 | loss: 5.49656e-05 | val_loss: 5.48353e-05 | Time: 15783.1 ms [2020-11-10 08:43:26 main:574] : INFO : Epoch 190 | loss: 5.51605e-05 | val_loss: 5.47553e-05 | Time: 15709.7 ms [2020-11-10 08:43:42 main:574] : INFO : Epoch 191 | loss: 5.35716e-05 | val_loss: 5.40019e-05 | Time: 15691.7 ms [2020-11-10 08:43:57 main:574] : INFO : Epoch 192 | loss: 5.28864e-05 | val_loss: 5.3491e-05 | Time: 15770 ms [2020-11-10 08:43:57 main:597] : INFO : Saving trained model to model-final.pt, val_loss 5.3491e-05 [2020-11-10 08:43:57 main:603] : INFO : Saving end state to config to file [2020-11-10 08:43:57 main:608] : INFO : Success, exiting.. 08:43:57 (4584): 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)