| Name | rand_automata_0057-1604947875-32440-0_1 |
| Workunit | 1259631 |
| 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, 3:27:11 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 596 |
| Run time | 51 min 16 sec |
| CPU time | 49 min 48 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 | 1.98 GB |
| Peak swap size | 3.94 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 03:35:45 main:435] : INFO : Set logging level to 1 [2020-11-10 03:35:45 main:441] : INFO : Running in BOINC Client mode [2020-11-10 03:35:45 main:444] : INFO : Resolving all filenames [2020-11-10 03:35:45 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0057-train-val-dataset.hdf5 (exists = 1) [2020-11-10 03:35:45 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0057-1604947875-32440-0_1_r948322787_1 (exists = 0) [2020-11-10 03:35:45 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0057-1604947875-32440-0_1_r948322787_0 (exists = 0) [2020-11-10 03:35:45 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-10 03:35:45 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-10 03:35:45 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0057-train-val-dataset.hdf5 [2020-11-10 03:35:45 main:474] : INFO : Configuration: [2020-11-10 03:35:45 main:475] : INFO : Model type: LSTM [2020-11-10 03:35:45 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-10 03:35:45 main:477] : INFO : Max Epochs: 192 [2020-11-10 03:35:45 main:478] : INFO : Batch Size: 32 [2020-11-10 03:35:45 main:479] : INFO : Learning Rate: 0.001 [2020-11-10 03:35:45 main:480] : INFO : Patience: 10 [2020-11-10 03:35:45 main:481] : INFO : Hidden Width: 64 [2020-11-10 03:35:45 main:482] : INFO : # Recurrent Layers: 4 [2020-11-10 03:35:45 main:483] : INFO : # Backend Layers: 2 [2020-11-10 03:35:45 main:484] : INFO : # Threads: 1 [2020-11-10 03:35:45 main:486] : INFO : Preparing Dataset [2020-11-10 03:35:45 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0057-train-val-dataset.hdf5 into memory [2020-11-10 03:35:45 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0057-train-val-dataset.hdf5 into memory [2020-11-10 03:35:51 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-10 03:35:51 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0057-train-val-dataset.hdf5 into memory [2020-11-10 03:35:51 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0057-train-val-dataset.hdf5 into memory [2020-11-10 03:35:51 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-10 03:35:51 main:494] : INFO : Creating Model [2020-11-10 03:35:51 main:507] : INFO : Preparing config file [2020-11-10 03:35:51 main:519] : INFO : Creating new config file [2020-11-10 03:35:57 main:559] : INFO : Loading DataLoader into Memory [2020-11-10 03:35:57 main:562] : INFO : Starting Training [2020-11-10 03:36:14 main:574] : INFO : Epoch 1 | loss: 0.0660701 | val_loss: 0.0657915 | Time: 16941.3 ms [2020-11-10 03:36:29 main:574] : INFO : Epoch 2 | loss: 0.0653512 | val_loss: 0.064582 | Time: 15724.5 ms [2020-11-10 03:36:45 main:574] : INFO : Epoch 3 | loss: 0.06343 | val_loss: 0.0621072 | Time: 16037.8 ms [2020-11-10 03:37:01 main:574] : INFO : Epoch 4 | loss: 0.0608865 | val_loss: 0.0598141 | Time: 15919.4 ms [2020-11-10 03:37:17 main:574] : INFO : Epoch 5 | loss: 0.0585722 | val_loss: 0.0576337 | Time: 15862.6 ms [2020-11-10 03:37:33 main:574] : INFO : Epoch 6 | loss: 0.0568757 | val_loss: 0.0562916 | Time: 15697 ms [2020-11-10 03:37:49 main:574] : INFO : Epoch 7 | loss: 0.0557458 | val_loss: 0.0552967 | Time: 15737.8 ms [2020-11-10 03:38:05 main:574] : INFO : Epoch 8 | loss: 0.0546877 | val_loss: 0.0543486 | Time: 15770.3 ms [2020-11-10 03:38:21 main:574] : INFO : Epoch 9 | loss: 0.0536394 | val_loss: 0.0532353 | Time: 15899.2 ms [2020-11-10 03:38:37 main:574] : INFO : Epoch 10 | loss: 0.0525374 | val_loss: 0.052209 | Time: 16180 ms [2020-11-10 03:38:53 main:574] : INFO : Epoch 11 | loss: 0.0513943 | val_loss: 0.0511108 | Time: 15846.3 ms [2020-11-10 03:39:09 main:574] : INFO : Epoch 12 | loss: 0.0502157 | val_loss: 0.0498436 | Time: 15846.5 ms [2020-11-10 03:39:25 main:574] : INFO : Epoch 13 | loss: 0.0489349 | val_loss: 0.0487158 | Time: 16246.9 ms [2020-11-10 03:39:41 main:574] : INFO : Epoch 14 | loss: 0.0475361 | val_loss: 0.0472528 | Time: 15695.5 ms [2020-11-10 03:39:57 main:574] : INFO : Epoch 15 | loss: 0.045857 | val_loss: 0.0454965 | Time: 15867.2 ms [2020-11-10 03:40:13 main:574] : INFO : Epoch 16 | loss: 0.0439211 | val_loss: 0.0435725 | Time: 15940.6 ms [2020-11-10 03:40:28 main:574] : INFO : Epoch 17 | loss: 0.0416809 | val_loss: 0.0412143 | Time: 15808.3 ms [2020-11-10 03:40:44 main:574] : INFO : Epoch 18 | loss: 0.0390685 | val_loss: 0.0392223 | Time: 15837.2 ms [2020-11-10 03:41:00 main:574] : INFO : Epoch 19 | loss: 0.0359197 | val_loss: 0.0360255 | Time: 15875.5 ms [2020-11-10 03:41:16 main:574] : INFO : Epoch 20 | loss: 0.0332265 | val_loss: 0.0327276 | Time: 15871.7 ms [2020-11-10 03:41:32 main:574] : INFO : Epoch 21 | loss: 0.0297742 | val_loss: 0.0289781 | Time: 15858.4 ms [2020-11-10 03:41:48 main:574] : INFO : Epoch 22 | loss: 0.0284873 | val_loss: 0.0295202 | Time: 15770.7 ms [2020-11-10 03:42:04 main:574] : INFO : Epoch 23 | loss: 0.0242381 | val_loss: 0.0249507 | Time: 15796.9 ms [2020-11-10 03:42:19 main:574] : INFO : Epoch 24 | loss: 0.0270005 | val_loss: 0.0275899 | Time: 15819.8 ms [2020-11-10 03:42:35 main:574] : INFO : Epoch 25 | loss: 0.0221103 | val_loss: 0.0179325 | Time: 15895.4 ms [2020-11-10 03:42:51 main:574] : INFO : Epoch 26 | loss: 0.020454 | val_loss: 0.0462737 | Time: 15716.5 ms [2020-11-10 03:43:07 main:574] : INFO : Epoch 27 | loss: 0.0224061 | val_loss: 0.0160292 | Time: 15885.3 ms [2020-11-10 03:43:23 main:574] : INFO : Epoch 28 | loss: 0.0191821 | val_loss: 0.0317238 | Time: 15967.7 ms [2020-11-10 03:43:39 main:574] : INFO : Epoch 29 | loss: 0.0213 | val_loss: 0.0169762 | Time: 16024.2 ms [2020-11-10 03:43:55 main:574] : INFO : Epoch 30 | loss: 0.0288938 | val_loss: 0.0201332 | Time: 15900 ms [2020-11-10 03:44:11 main:574] : INFO : Epoch 31 | loss: 0.0535748 | val_loss: 0.0575143 | Time: 15880.3 ms [2020-11-10 03:44:27 main:574] : INFO : Epoch 32 | loss: 0.0547198 | val_loss: 0.0516437 | Time: 15916.4 ms [2020-11-10 03:44:43 main:574] : INFO : Epoch 33 | loss: 0.0448998 | val_loss: 0.0370249 | Time: 15807.7 ms [2020-11-10 03:44:59 main:574] : INFO : Epoch 34 | loss: 0.0271693 | val_loss: 0.0358815 | Time: 15815.2 ms [2020-11-10 03:45:14 main:574] : INFO : Epoch 35 | loss: 0.0432133 | val_loss: 0.0592818 | Time: 15695.3 ms [2020-11-10 03:45:30 main:574] : INFO : Epoch 36 | loss: 0.0562117 | val_loss: 0.0518415 | Time: 15839.3 ms [2020-11-10 03:45:46 main:574] : INFO : Epoch 37 | loss: 0.0409203 | val_loss: 0.0268731 | Time: 15709.2 ms [2020-11-10 03:46:02 main:574] : INFO : Epoch 38 | loss: 0.0232823 | val_loss: 0.022628 | Time: 15975.8 ms [2020-11-10 03:46:18 main:574] : INFO : Epoch 39 | loss: 0.0154414 | val_loss: 0.0137558 | Time: 15694.7 ms [2020-11-10 03:46:34 main:574] : INFO : Epoch 40 | loss: 0.0121466 | val_loss: 0.0125078 | Time: 15568.6 ms [2020-11-10 03:46:49 main:574] : INFO : Epoch 41 | loss: 0.0128788 | val_loss: 0.0144311 | Time: 15635.8 ms [2020-11-10 03:47:05 main:574] : INFO : Epoch 42 | loss: 0.0114706 | val_loss: 0.0108215 | Time: 15721.2 ms [2020-11-10 03:47:21 main:574] : INFO : Epoch 43 | loss: 0.0100367 | val_loss: 0.010074 | Time: 15772.7 ms [2020-11-10 03:47:37 main:574] : INFO : Epoch 44 | loss: 0.0105209 | val_loss: 0.00995088 | Time: 15910.3 ms [2020-11-10 03:47:53 main:574] : INFO : Epoch 45 | loss: 0.0093364 | val_loss: 0.00955393 | Time: 15768.1 ms [2020-11-10 03:48:08 main:574] : INFO : Epoch 46 | loss: 0.00887775 | val_loss: 0.00906254 | Time: 15899.6 ms [2020-11-10 03:48:24 main:574] : INFO : Epoch 47 | loss: 0.00857479 | val_loss: 0.00868473 | Time: 15914.6 ms [2020-11-10 03:48:40 main:574] : INFO : Epoch 48 | loss: 0.00830136 | val_loss: 0.00840812 | Time: 15932.4 ms [2020-11-10 03:48:56 main:574] : INFO : Epoch 49 | loss: 0.008058 | val_loss: 0.0083026 | Time: 15734.7 ms [2020-11-10 03:49:12 main:574] : INFO : Epoch 50 | loss: 0.00783692 | val_loss: 0.00793597 | Time: 15701.3 ms [2020-11-10 03:49:28 main:574] : INFO : Epoch 51 | loss: 0.0076069 | val_loss: 0.00771006 | Time: 15687.3 ms [2020-11-10 03:49:44 main:574] : INFO : Epoch 52 | loss: 0.00739519 | val_loss: 0.00748533 | Time: 15955.7 ms [2020-11-10 03:50:00 main:574] : INFO : Epoch 53 | loss: 0.0071926 | val_loss: 0.00726664 | Time: 15797 ms [2020-11-10 03:50:15 main:574] : INFO : Epoch 54 | loss: 0.00699772 | val_loss: 0.00704678 | Time: 15713.1 ms [2020-11-10 03:50:31 main:574] : INFO : Epoch 55 | loss: 0.00680417 | val_loss: 0.00681215 | Time: 15908 ms [2020-11-10 03:50:47 main:574] : INFO : Epoch 56 | loss: 0.00766343 | val_loss: 0.00760821 | Time: 15873 ms [2020-11-10 03:51:03 main:574] : INFO : Epoch 57 | loss: 0.0067301 | val_loss: 0.00655872 | Time: 16018.5 ms [2020-11-10 03:51:19 main:574] : INFO : Epoch 58 | loss: 0.00633603 | val_loss: 0.00628148 | Time: 15821.8 ms [2020-11-10 03:51:35 main:574] : INFO : Epoch 59 | loss: 0.00612881 | val_loss: 0.00608513 | Time: 15732.1 ms [2020-11-10 03:51:51 main:574] : INFO : Epoch 60 | loss: 0.00593935 | val_loss: 0.00589738 | Time: 15825.2 ms [2020-11-10 03:52:06 main:574] : INFO : Epoch 61 | loss: 0.00578315 | val_loss: 0.00571838 | Time: 15658.3 ms [2020-11-10 03:52:22 main:574] : INFO : Epoch 62 | loss: 0.00559009 | val_loss: 0.00554756 | Time: 15762.5 ms [2020-11-10 03:52:38 main:574] : INFO : Epoch 63 | loss: 0.005436 | val_loss: 0.00538463 | Time: 16029.2 ms [2020-11-10 03:52:54 main:574] : INFO : Epoch 64 | loss: 0.00525538 | val_loss: 0.00520763 | Time: 15865 ms [2020-11-10 03:53:10 main:574] : INFO : Epoch 65 | loss: 0.00509323 | val_loss: 0.00505025 | Time: 15881.1 ms [2020-11-10 03:53:26 main:574] : INFO : Epoch 66 | loss: 0.00709727 | val_loss: 0.010397 | Time: 15824.8 ms [2020-11-10 03:53:42 main:574] : INFO : Epoch 67 | loss: 0.0255015 | val_loss: 0.0103889 | Time: 15679 ms [2020-11-10 03:53:58 main:574] : INFO : Epoch 68 | loss: 0.00722813 | val_loss: 0.00612792 | Time: 15910 ms [2020-11-10 03:54:13 main:574] : INFO : Epoch 69 | loss: 0.00573437 | val_loss: 0.00550978 | Time: 15586.8 ms [2020-11-10 03:54:29 main:574] : INFO : Epoch 70 | loss: 0.00528583 | val_loss: 0.0051667 | Time: 16036.2 ms [2020-11-10 03:54:45 main:574] : INFO : Epoch 71 | loss: 0.00500834 | val_loss: 0.00490853 | Time: 15946.9 ms [2020-11-10 03:55:01 main:574] : INFO : Epoch 72 | loss: 0.00480385 | val_loss: 0.00472932 | Time: 15897.8 ms [2020-11-10 03:55:17 main:574] : INFO : Epoch 73 | loss: 0.00463903 | val_loss: 0.00457969 | Time: 15731.7 ms [2020-11-10 03:55:33 main:574] : INFO : Epoch 74 | loss: 0.00449891 | val_loss: 0.004446 | Time: 15838.7 ms [2020-11-10 03:55:49 main:574] : INFO : Epoch 75 | loss: 0.0043697 | val_loss: 0.00432256 | Time: 15967.1 ms [2020-11-10 03:56:05 main:574] : INFO : Epoch 76 | loss: 0.0042522 | val_loss: 0.0042102 | Time: 15777 ms [2020-11-10 03:56:21 main:574] : INFO : Epoch 77 | loss: 0.00414436 | val_loss: 0.00410692 | Time: 15737.9 ms [2020-11-10 03:56:37 main:574] : INFO : Epoch 78 | loss: 0.00403066 | val_loss: 0.004005 | Time: 15879.9 ms [2020-11-10 03:56:52 main:574] : INFO : Epoch 79 | loss: 0.00392173 | val_loss: 0.00389066 | Time: 15789.9 ms [2020-11-10 03:57:08 main:574] : INFO : Epoch 80 | loss: 0.00381825 | val_loss: 0.00379036 | Time: 15943.3 ms [2020-11-10 03:57:24 main:574] : INFO : Epoch 81 | loss: 0.00371904 | val_loss: 0.00369164 | Time: 15912.5 ms [2020-11-10 03:57:40 main:574] : INFO : Epoch 82 | loss: 0.0036183 | val_loss: 0.00359171 | Time: 15720.1 ms [2020-11-10 03:57:56 main:574] : INFO : Epoch 83 | loss: 0.00352121 | val_loss: 0.00349502 | Time: 15870.3 ms [2020-11-10 03:58:12 main:574] : INFO : Epoch 84 | loss: 0.00342584 | val_loss: 0.00339776 | Time: 15931.8 ms [2020-11-10 03:58:28 main:574] : INFO : Epoch 85 | loss: 0.00333051 | val_loss: 0.00330287 | Time: 15739.3 ms [2020-11-10 03:58:44 main:574] : INFO : Epoch 86 | loss: 0.00323628 | val_loss: 0.00321122 | Time: 15988.2 ms [2020-11-10 03:59:00 main:574] : INFO : Epoch 87 | loss: 0.00314418 | val_loss: 0.00311728 | Time: 15881.1 ms [2020-11-10 03:59:16 main:574] : INFO : Epoch 88 | loss: 0.00305116 | val_loss: 0.00302169 | Time: 15853.4 ms [2020-11-10 03:59:31 main:574] : INFO : Epoch 89 | loss: 0.00296111 | val_loss: 0.00293208 | Time: 15816.3 ms [2020-11-10 03:59:47 main:574] : INFO : Epoch 90 | loss: 0.00287012 | val_loss: 0.00284061 | Time: 15894.8 ms [2020-11-10 04:00:03 main:574] : INFO : Epoch 91 | loss: 0.00278131 | val_loss: 0.00275039 | Time: 15885.7 ms [2020-11-10 04:00:19 main:574] : INFO : Epoch 92 | loss: 0.00269361 | val_loss: 0.00266219 | Time: 15750.9 ms [2020-11-10 04:00:35 main:574] : INFO : Epoch 93 | loss: 0.0026077 | val_loss: 0.00257672 | Time: 15886.6 ms [2020-11-10 04:00:51 main:574] : INFO : Epoch 94 | loss: 0.00252259 | val_loss: 0.00249278 | Time: 15895.5 ms [2020-11-10 04:01:07 main:574] : INFO : Epoch 95 | loss: 0.00243959 | val_loss: 0.00241182 | Time: 15903.3 ms [2020-11-10 04:01:23 main:574] : INFO : Epoch 96 | loss: 0.00235735 | val_loss: 0.00232728 | Time: 15927.3 ms [2020-11-10 04:01:39 main:574] : INFO : Epoch 97 | loss: 0.00227758 | val_loss: 0.0022463 | Time: 15772.9 ms [2020-11-10 04:01:55 main:574] : INFO : Epoch 98 | loss: 0.00219939 | val_loss: 0.00217026 | Time: 15886.2 ms [2020-11-10 04:02:10 main:574] : INFO : Epoch 99 | loss: 0.00212201 | val_loss: 0.00209386 | Time: 15752.4 ms [2020-11-10 04:02:26 main:574] : INFO : Epoch 100 | loss: 0.00204731 | val_loss: 0.0020179 | Time: 15707 ms [2020-11-10 04:02:42 main:574] : INFO : Epoch 101 | loss: 0.00197435 | val_loss: 0.00194489 | Time: 15752.2 ms [2020-11-10 04:02:58 main:574] : INFO : Epoch 102 | loss: 0.00190279 | val_loss: 0.00187684 | Time: 15888.9 ms [2020-11-10 04:03:14 main:574] : INFO : Epoch 103 | loss: 0.00183288 | val_loss: 0.00180681 | Time: 15924.8 ms [2020-11-10 04:03:30 main:574] : INFO : Epoch 104 | loss: 0.00176484 | val_loss: 0.00173622 | Time: 15675.6 ms [2020-11-10 04:03:46 main:574] : INFO : Epoch 105 | loss: 0.00169884 | val_loss: 0.0016695 | Time: 15864.6 ms [2020-11-10 04:04:02 main:574] : INFO : Epoch 106 | loss: 0.00163365 | val_loss: 0.00160471 | Time: 15970.1 ms [2020-11-10 04:04:17 main:574] : INFO : Epoch 107 | loss: 0.00157074 | val_loss: 0.00154708 | Time: 15704.8 ms [2020-11-10 04:04:33 main:574] : INFO : Epoch 108 | loss: 0.00150894 | val_loss: 0.00148181 | Time: 15802.4 ms [2020-11-10 04:04:49 main:574] : INFO : Epoch 109 | loss: 0.0014496 | val_loss: 0.00142251 | Time: 15876.7 ms [2020-11-10 04:05:05 main:574] : INFO : Epoch 110 | loss: 0.00139138 | val_loss: 0.00136634 | Time: 15715.5 ms [2020-11-10 04:05:21 main:574] : INFO : Epoch 111 | loss: 0.00133696 | val_loss: 0.00130946 | Time: 15863.5 ms [2020-11-10 04:05:36 main:574] : INFO : Epoch 112 | loss: 0.00128231 | val_loss: 0.00125684 | Time: 15727.6 ms [2020-11-10 04:05:52 main:574] : INFO : Epoch 113 | loss: 0.00123158 | val_loss: 0.00120588 | Time: 15701.4 ms [2020-11-10 04:06:08 main:574] : INFO : Epoch 114 | loss: 0.0011818 | val_loss: 0.0011566 | Time: 15885.1 ms [2020-11-10 04:06:24 main:574] : INFO : Epoch 115 | loss: 0.00113379 | val_loss: 0.00110927 | Time: 15778.4 ms [2020-11-10 04:06:40 main:574] : INFO : Epoch 116 | loss: 0.00108754 | val_loss: 0.00106643 | Time: 15805.2 ms [2020-11-10 04:06:56 main:574] : INFO : Epoch 117 | loss: 0.00104392 | val_loss: 0.00102337 | Time: 15762.9 ms [2020-11-10 04:07:11 main:574] : INFO : Epoch 118 | loss: 0.00100177 | val_loss: 0.000977497 | Time: 15698.7 ms [2020-11-10 04:07:27 main:574] : INFO : Epoch 119 | loss: 0.000961408 | val_loss: 0.000940213 | Time: 15863.5 ms [2020-11-10 04:07:43 main:574] : INFO : Epoch 120 | loss: 0.00092265 | val_loss: 0.000905591 | Time: 15820.5 ms [2020-11-10 04:07:59 main:574] : INFO : Epoch 121 | loss: 0.000886045 | val_loss: 0.000866199 | Time: 15862.5 ms [2020-11-10 04:08:15 main:574] : INFO : Epoch 122 | loss: 0.000849773 | val_loss: 0.000830954 | Time: 15687.5 ms [2020-11-10 04:08:31 main:574] : INFO : Epoch 123 | loss: 0.000816189 | val_loss: 0.000797714 | Time: 15841.4 ms [2020-11-10 04:08:46 main:574] : INFO : Epoch 124 | loss: 0.000783204 | val_loss: 0.00076699 | Time: 15806.8 ms [2020-11-10 04:09:02 main:574] : INFO : Epoch 125 | loss: 0.000752181 | val_loss: 0.000734185 | Time: 15753 ms [2020-11-10 04:09:18 main:574] : INFO : Epoch 126 | loss: 0.000722958 | val_loss: 0.00070624 | Time: 15800.8 ms [2020-11-10 04:09:34 main:574] : INFO : Epoch 127 | loss: 0.000693767 | val_loss: 0.000677281 | Time: 16078.7 ms [2020-11-10 04:09:50 main:574] : INFO : Epoch 128 | loss: 0.000665596 | val_loss: 0.000650378 | Time: 15769.1 ms [2020-11-10 04:10:06 main:574] : INFO : Epoch 129 | loss: 0.000638984 | val_loss: 0.000624462 | Time: 15702.3 ms [2020-11-10 04:10:22 main:574] : INFO : Epoch 130 | loss: 0.000614304 | val_loss: 0.000601369 | Time: 15767.1 ms [2020-11-10 04:10:38 main:574] : INFO : Epoch 131 | loss: 0.000590668 | val_loss: 0.00057808 | Time: 15902.3 ms [2020-11-10 04:10:53 main:574] : INFO : Epoch 132 | loss: 0.000567478 | val_loss: 0.000554493 | Time: 15829.8 ms [2020-11-10 04:11:09 main:574] : INFO : Epoch 133 | loss: 0.000545239 | val_loss: 0.000535423 | Time: 15679.2 ms [2020-11-10 04:11:25 main:574] : INFO : Epoch 134 | loss: 0.000524103 | val_loss: 0.000512668 | Time: 15705.7 ms [2020-11-10 04:11:41 main:574] : INFO : Epoch 135 | loss: 0.000504435 | val_loss: 0.000495152 | Time: 15655.7 ms [2020-11-10 04:11:56 main:574] : INFO : Epoch 136 | loss: 0.000485752 | val_loss: 0.000476162 | Time: 15759 ms [2020-11-10 04:12:12 main:574] : INFO : Epoch 137 | loss: 0.000467011 | val_loss: 0.000456878 | Time: 15711 ms [2020-11-10 04:12:28 main:574] : INFO : Epoch 138 | loss: 0.000449976 | val_loss: 0.000440683 | Time: 15876.7 ms [2020-11-10 04:12:44 main:574] : INFO : Epoch 139 | loss: 0.000433298 | val_loss: 0.000423714 | Time: 15753.4 ms [2020-11-10 04:13:00 main:574] : INFO : Epoch 140 | loss: 0.000417828 | val_loss: 0.000409475 | Time: 15943.2 ms [2020-11-10 04:13:16 main:574] : INFO : Epoch 141 | loss: 0.000402603 | val_loss: 0.000394183 | Time: 15740.8 ms [2020-11-10 04:13:32 main:574] : INFO : Epoch 142 | loss: 0.000388016 | val_loss: 0.000381849 | Time: 15892.9 ms [2020-11-10 04:13:47 main:574] : INFO : Epoch 143 | loss: 0.000375232 | val_loss: 0.000367134 | Time: 15713.4 ms [2020-11-10 04:14:03 main:574] : INFO : Epoch 144 | loss: 0.000360967 | val_loss: 0.000355107 | Time: 15831 ms [2020-11-10 04:14:19 main:574] : INFO : Epoch 145 | loss: 0.000349687 | val_loss: 0.000348403 | Time: 15824.3 ms [2020-11-10 04:14:35 main:574] : INFO : Epoch 146 | loss: 0.000337384 | val_loss: 0.000331664 | Time: 15767 ms [2020-11-10 04:14:51 main:574] : INFO : Epoch 147 | loss: 0.000326832 | val_loss: 0.000320849 | Time: 15921.2 ms [2020-11-10 04:15:07 main:574] : INFO : Epoch 148 | loss: 0.000315816 | val_loss: 0.000310458 | Time: 15804.8 ms [2020-11-10 04:15:23 main:574] : INFO : Epoch 149 | loss: 0.000305659 | val_loss: 0.000299982 | Time: 15935.6 ms [2020-11-10 04:15:39 main:574] : INFO : Epoch 150 | loss: 0.000296075 | val_loss: 0.000291025 | Time: 15938 ms [2020-11-10 04:15:54 main:574] : INFO : Epoch 151 | loss: 0.000286414 | val_loss: 0.000281043 | Time: 15735.3 ms [2020-11-10 04:16:10 main:574] : INFO : Epoch 152 | loss: 0.000277775 | val_loss: 0.000273059 | Time: 15869.9 ms [2020-11-10 04:16:26 main:574] : INFO : Epoch 153 | loss: 0.00026934 | val_loss: 0.000264879 | Time: 15772.3 ms [2020-11-10 04:16:42 main:574] : INFO : Epoch 154 | loss: 0.000260515 | val_loss: 0.000257794 | Time: 15822 ms [2020-11-10 04:16:58 main:574] : INFO : Epoch 155 | loss: 0.00025372 | val_loss: 0.000249232 | Time: 15896.2 ms [2020-11-10 04:17:14 main:574] : INFO : Epoch 156 | loss: 0.000245512 | val_loss: 0.000244678 | Time: 15780.4 ms [2020-11-10 04:17:30 main:574] : INFO : Epoch 157 | loss: 0.000238599 | val_loss: 0.000237534 | Time: 15926.1 ms [2020-11-10 04:17:45 main:574] : INFO : Epoch 158 | loss: 0.000231852 | val_loss: 0.00022858 | Time: 15739.8 ms [2020-11-10 04:18:01 main:574] : INFO : Epoch 159 | loss: 0.000225388 | val_loss: 0.000222028 | Time: 15939.8 ms [2020-11-10 04:18:17 main:574] : INFO : Epoch 160 | loss: 0.000218914 | val_loss: 0.000216507 | Time: 15856.4 ms [2020-11-10 04:18:33 main:574] : INFO : Epoch 161 | loss: 0.000213222 | val_loss: 0.000211554 | Time: 15791.9 ms [2020-11-10 04:18:49 main:574] : INFO : Epoch 162 | loss: 0.000207271 | val_loss: 0.00020582 | Time: 15965.5 ms [2020-11-10 04:19:05 main:574] : INFO : Epoch 163 | loss: 0.000202059 | val_loss: 0.000200712 | Time: 15969.4 ms [2020-11-10 04:19:21 main:574] : INFO : Epoch 164 | loss: 0.000196324 | val_loss: 0.000195659 | Time: 15678.1 ms [2020-11-10 04:19:37 main:574] : INFO : Epoch 165 | loss: 0.000191819 | val_loss: 0.000189941 | Time: 15696.2 ms [2020-11-10 04:19:53 main:574] : INFO : Epoch 166 | loss: 0.000186648 | val_loss: 0.000185081 | Time: 15859.7 ms [2020-11-10 04:20:08 main:574] : INFO : Epoch 167 | loss: 0.000181967 | val_loss: 0.000181423 | Time: 15685.5 ms [2020-11-10 04:20:24 main:574] : INFO : Epoch 168 | loss: 0.000177872 | val_loss: 0.000176109 | Time: 15788 ms [2020-11-10 04:20:40 main:574] : INFO : Epoch 169 | loss: 0.000173033 | val_loss: 0.000172172 | Time: 15807.3 ms [2020-11-10 04:20:56 main:574] : INFO : Epoch 170 | loss: 0.000169313 | val_loss: 0.000167722 | Time: 15884.3 ms [2020-11-10 04:21:12 main:574] : INFO : Epoch 171 | loss: 0.000165022 | val_loss: 0.000161586 | Time: 15887 ms [2020-11-10 04:21:28 main:574] : INFO : Epoch 172 | loss: 0.000160481 | val_loss: 0.000161767 | Time: 15986.9 ms [2020-11-10 04:21:44 main:574] : INFO : Epoch 173 | loss: 0.000157006 | val_loss: 0.000157952 | Time: 15812.7 ms [2020-11-10 04:22:00 main:574] : INFO : Epoch 174 | loss: 0.000153455 | val_loss: 0.000152443 | Time: 15785.8 ms [2020-11-10 04:22:16 main:574] : INFO : Epoch 175 | loss: 0.000149617 | val_loss: 0.000149273 | Time: 15946.9 ms [2020-11-10 04:22:31 main:574] : INFO : Epoch 176 | loss: 0.00014626 | val_loss: 0.000146082 | Time: 15806.4 ms [2020-11-10 04:22:47 main:574] : INFO : Epoch 177 | loss: 0.000142909 | val_loss: 0.00014331 | Time: 15854.5 ms [2020-11-10 04:23:03 main:574] : INFO : Epoch 178 | loss: 0.000139872 | val_loss: 0.000138422 | Time: 15864.6 ms [2020-11-10 04:23:19 main:574] : INFO : Epoch 179 | loss: 0.000136981 | val_loss: 0.000136077 | Time: 15890.5 ms [2020-11-10 04:23:35 main:574] : INFO : Epoch 180 | loss: 0.000134 | val_loss: 0.000132716 | Time: 15790 ms [2020-11-10 04:23:51 main:574] : INFO : Epoch 181 | loss: 0.000130957 | val_loss: 0.000131656 | Time: 15868.2 ms [2020-11-10 04:24:07 main:574] : INFO : Epoch 182 | loss: 0.000128845 | val_loss: 0.000126768 | Time: 15969.4 ms [2020-11-10 04:24:23 main:574] : INFO : Epoch 183 | loss: 0.000125534 | val_loss: 0.0001273 | Time: 15714.3 ms [2020-11-10 04:24:39 main:574] : INFO : Epoch 184 | loss: 0.000123415 | val_loss: 0.000122138 | Time: 16171 ms [2020-11-10 04:24:55 main:574] : INFO : Epoch 185 | loss: 0.000120076 | val_loss: 0.00011979 | Time: 15856.9 ms [2020-11-10 04:25:11 main:574] : INFO : Epoch 186 | loss: 0.000117655 | val_loss: 0.000116373 | Time: 15776.6 ms [2020-11-10 04:25:27 main:574] : INFO : Epoch 187 | loss: 0.00011558 | val_loss: 0.000115113 | Time: 15943.6 ms [2020-11-10 04:25:43 main:574] : INFO : Epoch 188 | loss: 0.00011374 | val_loss: 0.000112723 | Time: 15893 ms [2020-11-10 04:25:58 main:574] : INFO : Epoch 189 | loss: 0.000111103 | val_loss: 0.000112751 | Time: 15773.3 ms [2020-11-10 04:26:14 main:574] : INFO : Epoch 190 | loss: 0.000108929 | val_loss: 0.000107879 | Time: 15900.9 ms [2020-11-10 04:26:30 main:574] : INFO : Epoch 191 | loss: 0.000107059 | val_loss: 0.000106754 | Time: 15874.1 ms [2020-11-10 04:26:46 main:574] : INFO : Epoch 192 | loss: 0.000105631 | val_loss: 0.000104868 | Time: 15740.1 ms [2020-11-10 04:26:46 main:597] : INFO : Saving trained model to model-final.pt, val_loss 0.000104868 [2020-11-10 04:26:46 main:603] : INFO : Saving end state to config to file [2020-11-10 04:26:46 main:608] : INFO : Success, exiting.. 04:26:46 (11240): 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)