Task 2825018
| Name | rand_automata_0037-1604983853-10551-0_2 |
| Workunit | 1263976 |
| 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, 4:59:37 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 443 |
| Run time | 1 hours 34 min 57 sec |
| CPU time | 30 min 31 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 | 1.50 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 04:24:30 main:435] : INFO : Set logging level to 1 [2020-11-11 04:24:30 main:441] : INFO : Running in BOINC Client mode [2020-11-11 04:24:30 main:444] : INFO : Resolving all filenames [2020-11-11 04:24:30 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0037-train-val-dataset.hdf5 (exists = 1) [2020-11-11 04:24:30 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0037-1604983853-10551-0_2_r1249860103_1 (exists = 0) [2020-11-11 04:24:30 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0037-1604983853-10551-0_2_r1249860103_0 (exists = 0) [2020-11-11 04:24:30 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-11 04:24:30 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-11 04:24:30 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0037-train-val-dataset.hdf5 [2020-11-11 04:24:30 main:474] : INFO : Configuration: [2020-11-11 04:24:30 main:475] : INFO : Model type: LSTM [2020-11-11 04:24:30 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-11 04:24:30 main:477] : INFO : Max Epochs: 192 [2020-11-11 04:24:30 main:478] : INFO : Batch Size: 32 [2020-11-11 04:24:30 main:479] : INFO : Learning Rate: 0.001 [2020-11-11 04:24:30 main:480] : INFO : Patience: 10 [2020-11-11 04:24:30 main:481] : INFO : Hidden Width: 64 [2020-11-11 04:24:30 main:482] : INFO : # Recurrent Layers: 4 [2020-11-11 04:24:30 main:483] : INFO : # Backend Layers: 2 [2020-11-11 04:24:30 main:484] : INFO : # Threads: 1 [2020-11-11 04:24:31 main:486] : INFO : Preparing Dataset [2020-11-11 04:24:31 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0037-train-val-dataset.hdf5 into memory [2020-11-11 04:24:31 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0037-train-val-dataset.hdf5 into memory [2020-11-11 04:24:34 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-11 04:24:34 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0037-train-val-dataset.hdf5 into memory [2020-11-11 04:24:34 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0037-train-val-dataset.hdf5 into memory [2020-11-11 04:24:34 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-11 04:24:34 main:494] : INFO : Creating Model [2020-11-11 04:24:34 main:507] : INFO : Preparing config file [2020-11-11 04:24:34 main:519] : INFO : Creating new config file [2020-11-11 04:24:35 main:559] : INFO : Loading DataLoader into Memory [2020-11-11 04:24:35 main:562] : INFO : Starting Training [2020-11-11 04:25:02 main:574] : INFO : Epoch 1 | loss: 0.0656124 | val_loss: 0.0652575 | Time: 26150.1 ms [2020-11-11 04:25:25 main:574] : INFO : Epoch 2 | loss: 0.0651149 | val_loss: 0.0641324 | Time: 23249.7 ms [2020-11-11 04:25:49 main:574] : INFO : Epoch 3 | loss: 0.0623466 | val_loss: 0.0606848 | Time: 23790.1 ms [2020-11-11 04:26:11 main:574] : INFO : Epoch 4 | loss: 0.0593806 | val_loss: 0.0582477 | Time: 22524.7 ms [2020-11-11 04:26:34 main:574] : INFO : Epoch 5 | loss: 0.0574925 | val_loss: 0.0567601 | Time: 23091.7 ms [2020-11-11 04:26:58 main:574] : INFO : Epoch 6 | loss: 0.0561949 | val_loss: 0.0556702 | Time: 23270.2 ms [2020-11-11 04:27:22 main:574] : INFO : Epoch 7 | loss: 0.0551013 | val_loss: 0.0546148 | Time: 24804.3 ms [2020-11-11 04:27:46 main:574] : INFO : Epoch 8 | loss: 0.0541346 | val_loss: 0.053753 | Time: 23364.8 ms [2020-11-11 04:28:09 main:574] : INFO : Epoch 9 | loss: 0.0532144 | val_loss: 0.0527753 | Time: 23197.2 ms [2020-11-11 04:28:33 main:574] : INFO : Epoch 10 | loss: 0.0522111 | val_loss: 0.0518515 | Time: 23878 ms [2020-11-11 04:28:57 main:574] : INFO : Epoch 11 | loss: 0.0511627 | val_loss: 0.0508422 | Time: 24093.3 ms [2020-11-11 04:29:21 main:574] : INFO : Epoch 12 | loss: 0.050082 | val_loss: 0.0498255 | Time: 24441.5 ms [2020-11-11 04:29:47 main:574] : INFO : Epoch 13 | loss: 0.0487355 | val_loss: 0.0484204 | Time: 25902.8 ms [2020-11-11 04:30:12 main:574] : INFO : Epoch 14 | loss: 0.0472331 | val_loss: 0.0466745 | Time: 24424.6 ms [2020-11-11 04:30:37 main:574] : INFO : Epoch 15 | loss: 0.0453087 | val_loss: 0.0449408 | Time: 24935.2 ms [2020-11-11 04:31:01 main:574] : INFO : Epoch 16 | loss: 0.0430457 | val_loss: 0.0423646 | Time: 24309.5 ms [2020-11-11 04:31:26 main:574] : INFO : Epoch 17 | loss: 0.0401874 | val_loss: 0.0396825 | Time: 25031.3 ms [2020-11-11 04:31:51 main:574] : INFO : Epoch 18 | loss: 0.0367832 | val_loss: 0.0366412 | Time: 24405.4 ms [2020-11-11 04:32:15 main:574] : INFO : Epoch 19 | loss: 0.0347843 | val_loss: 0.0358062 | Time: 24097 ms [2020-11-11 04:32:40 main:574] : INFO : Epoch 20 | loss: 0.0317518 | val_loss: 0.0328086 | Time: 25735.3 ms [2020-11-11 04:33:05 main:574] : INFO : Epoch 21 | loss: 0.0365184 | val_loss: 0.0314105 | Time: 24447.4 ms [2020-11-11 04:33:30 main:574] : INFO : Epoch 22 | loss: 0.0324172 | val_loss: 0.0295204 | Time: 25047.9 ms [2020-11-11 04:33:54 main:574] : INFO : Epoch 23 | loss: 0.0315079 | val_loss: 0.0260145 | Time: 24468.8 ms [2020-11-11 04:34:20 main:574] : INFO : Epoch 24 | loss: 0.0232958 | val_loss: 0.0204047 | Time: 25046.7 ms [2020-11-11 04:34:46 main:574] : INFO : Epoch 25 | loss: 0.0221839 | val_loss: 0.0181509 | Time: 26178.6 ms [2020-11-11 04:35:11 main:574] : INFO : Epoch 26 | loss: 0.0194779 | val_loss: 0.0318838 | Time: 24995.5 ms [2020-11-11 04:35:35 main:574] : INFO : Epoch 27 | loss: 0.0190848 | val_loss: 0.0278153 | Time: 24356.9 ms [2020-11-11 04:36:00 main:574] : INFO : Epoch 28 | loss: 0.0421792 | val_loss: 0.0275021 | Time: 24988.7 ms [2020-11-11 04:36:25 main:574] : INFO : Epoch 29 | loss: 0.018746 | val_loss: 0.0154965 | Time: 24975.9 ms [2020-11-11 04:36:51 main:574] : INFO : Epoch 30 | loss: 0.0238102 | val_loss: 0.0252621 | Time: 26226.9 ms [2020-11-11 04:37:17 main:574] : INFO : Epoch 31 | loss: 0.0166326 | val_loss: 0.0160538 | Time: 26050.5 ms [2020-11-11 04:37:43 main:574] : INFO : Epoch 32 | loss: 0.0123077 | val_loss: 0.0115637 | Time: 25483 ms [2020-11-11 04:38:08 main:574] : INFO : Epoch 33 | loss: 0.0211767 | val_loss: 0.04623 | Time: 24990.4 ms [2020-11-11 04:38:34 main:574] : INFO : Epoch 34 | loss: 0.0201686 | val_loss: 0.0127205 | Time: 25951.2 ms [2020-11-11 04:38:58 main:574] : INFO : Epoch 35 | loss: 0.0120097 | val_loss: 0.0128531 | Time: 24606.7 ms [2020-11-11 04:39:23 main:574] : INFO : Epoch 36 | loss: 0.0102116 | val_loss: 0.00980876 | Time: 24093.6 ms [2020-11-11 04:39:48 main:574] : INFO : Epoch 37 | loss: 0.00923616 | val_loss: 0.0106766 | Time: 25392.4 ms [2020-11-11 04:40:12 main:574] : INFO : Epoch 38 | loss: 0.0174136 | val_loss: 0.0135007 | Time: 23927.8 ms [2020-11-11 04:40:37 main:574] : INFO : Epoch 39 | loss: 0.014801 | val_loss: 0.00987747 | Time: 24958.3 ms [2020-11-11 04:41:02 main:574] : INFO : Epoch 40 | loss: 0.00919669 | val_loss: 0.00942446 | Time: 25295 ms [2020-11-11 04:41:28 main:574] : INFO : Epoch 41 | loss: 0.0086131 | val_loss: 0.00925727 | Time: 25817.7 ms [2020-11-11 04:41:53 main:574] : INFO : Epoch 42 | loss: 0.00827859 | val_loss: 0.00803307 | Time: 25173.4 ms [2020-11-11 04:42:19 main:574] : INFO : Epoch 43 | loss: 0.00783742 | val_loss: 0.00773184 | Time: 25286.9 ms [2020-11-11 04:42:44 main:574] : INFO : Epoch 44 | loss: 0.00741454 | val_loss: 0.00797288 | Time: 25210.1 ms [2020-11-11 04:43:10 main:574] : INFO : Epoch 45 | loss: 0.00727334 | val_loss: 0.00721953 | Time: 26036.1 ms [2020-11-11 04:43:36 main:574] : INFO : Epoch 46 | loss: 0.00693846 | val_loss: 0.00696316 | Time: 26136.7 ms [2020-11-11 04:44:00 main:574] : INFO : Epoch 47 | loss: 0.00681017 | val_loss: 0.00677274 | Time: 24413.6 ms [2020-11-11 04:44:26 main:574] : INFO : Epoch 48 | loss: 0.0065181 | val_loss: 0.00654129 | Time: 25953.4 ms [2020-11-11 04:44:51 main:574] : INFO : Epoch 49 | loss: 0.00631362 | val_loss: 0.00632622 | Time: 24469.8 ms [2020-11-11 04:45:16 main:574] : INFO : Epoch 50 | loss: 0.00611545 | val_loss: 0.00613428 | Time: 25103.4 ms [2020-11-11 04:45:41 main:574] : INFO : Epoch 51 | loss: 0.00592911 | val_loss: 0.00596109 | Time: 25104.2 ms [2020-11-11 04:46:05 main:574] : INFO : Epoch 52 | loss: 0.00574872 | val_loss: 0.00576392 | Time: 24340.7 ms [2020-11-11 04:46:30 main:574] : INFO : Epoch 53 | loss: 0.00559561 | val_loss: 0.00559148 | Time: 25052.1 ms [2020-11-11 04:46:56 main:574] : INFO : Epoch 54 | loss: 0.0053914 | val_loss: 0.00540757 | Time: 25175.3 ms [2020-11-11 04:47:22 main:574] : INFO : Epoch 55 | loss: 0.0052145 | val_loss: 0.00521279 | Time: 25917.4 ms [2020-11-11 04:47:48 main:574] : INFO : Epoch 56 | loss: 0.00504454 | val_loss: 0.00503527 | Time: 25880.1 ms [2020-11-11 04:48:14 main:574] : INFO : Epoch 57 | loss: 0.00487732 | val_loss: 0.00485906 | Time: 26454.4 ms [2020-11-11 04:48:38 main:574] : INFO : Epoch 58 | loss: 0.00471293 | val_loss: 0.00469109 | Time: 24452.6 ms [2020-11-11 04:49:03 main:574] : INFO : Epoch 59 | loss: 0.00455178 | val_loss: 0.00452109 | Time: 24293.9 ms [2020-11-11 04:49:28 main:574] : INFO : Epoch 60 | loss: 0.00439347 | val_loss: 0.00435465 | Time: 24990.2 ms [2020-11-11 04:49:53 main:574] : INFO : Epoch 61 | loss: 0.00423883 | val_loss: 0.00419043 | Time: 25452.1 ms [2020-11-11 04:50:17 main:574] : INFO : Epoch 62 | loss: 0.00408569 | val_loss: 0.00403841 | Time: 24059.2 ms [2020-11-11 04:50:41 main:574] : INFO : Epoch 63 | loss: 0.00393823 | val_loss: 0.00388759 | Time: 24149.9 ms [2020-11-11 04:51:07 main:574] : INFO : Epoch 64 | loss: 0.0037921 | val_loss: 0.00373846 | Time: 25042.6 ms [2020-11-11 04:51:32 main:574] : INFO : Epoch 65 | loss: 0.0036506 | val_loss: 0.00359506 | Time: 25135.7 ms [2020-11-11 04:51:57 main:574] : INFO : Epoch 66 | loss: 0.00351876 | val_loss: 0.00345914 | Time: 25263.7 ms [2020-11-11 04:52:22 main:574] : INFO : Epoch 67 | loss: 0.00337436 | val_loss: 0.00332748 | Time: 25081 ms [2020-11-11 04:52:48 main:574] : INFO : Epoch 68 | loss: 0.00324324 | val_loss: 0.00319282 | Time: 25950.9 ms [2020-11-11 04:53:13 main:574] : INFO : Epoch 69 | loss: 0.00311518 | val_loss: 0.00306448 | Time: 25184 ms [2020-11-11 04:53:39 main:574] : INFO : Epoch 70 | loss: 0.00299139 | val_loss: 0.00294251 | Time: 25912.9 ms [2020-11-11 04:54:04 main:574] : INFO : Epoch 71 | loss: 0.00287228 | val_loss: 0.0028225 | Time: 24554.8 ms [2020-11-11 04:54:29 main:574] : INFO : Epoch 72 | loss: 0.00275652 | val_loss: 0.00269875 | Time: 25049.2 ms [2020-11-11 04:54:54 main:574] : INFO : Epoch 73 | loss: 0.00264563 | val_loss: 0.00259761 | Time: 25185.7 ms [2020-11-11 04:55:20 main:574] : INFO : Epoch 74 | loss: 0.00253665 | val_loss: 0.00248045 | Time: 25967.7 ms [2020-11-11 04:55:45 main:574] : INFO : Epoch 75 | loss: 0.00243197 | val_loss: 0.0023779 | Time: 25279.9 ms [2020-11-11 04:56:10 main:574] : INFO : Epoch 76 | loss: 0.00233041 | val_loss: 0.00227055 | Time: 24380.6 ms [2020-11-11 04:56:34 main:574] : INFO : Epoch 77 | loss: 0.00223262 | val_loss: 0.0021753 | Time: 24723.2 ms [2020-11-11 04:56:58 main:574] : INFO : Epoch 78 | loss: 0.00213794 | val_loss: 0.00208217 | Time: 23627.3 ms [2020-11-11 04:57:22 main:574] : INFO : Epoch 79 | loss: 0.00204692 | val_loss: 0.00199344 | Time: 24060.5 ms [2020-11-11 04:57:46 main:574] : INFO : Epoch 80 | loss: 0.00195976 | val_loss: 0.00190542 | Time: 23960.4 ms [2020-11-11 04:58:10 main:574] : INFO : Epoch 81 | loss: 0.00187509 | val_loss: 0.00182027 | Time: 24475.7 ms [2020-11-11 04:58:35 main:574] : INFO : Epoch 82 | loss: 0.00179319 | val_loss: 0.00174165 | Time: 24693.3 ms [2020-11-11 04:59:00 main:574] : INFO : Epoch 83 | loss: 0.00171512 | val_loss: 0.00166286 | Time: 24369 ms [2020-11-11 04:59:24 main:574] : INFO : Epoch 84 | loss: 0.00164011 | val_loss: 0.00158872 | Time: 23923.6 ms [2020-11-11 04:59:47 main:574] : INFO : Epoch 85 | loss: 0.00156772 | val_loss: 0.0015221 | Time: 23567.5 ms [2020-11-11 05:00:11 main:574] : INFO : Epoch 86 | loss: 0.00149865 | val_loss: 0.00145332 | Time: 23976.6 ms [2020-11-11 05:00:35 main:574] : INFO : Epoch 87 | loss: 0.00143228 | val_loss: 0.00138863 | Time: 23493.5 ms [2020-11-11 05:00:58 main:574] : INFO : Epoch 88 | loss: 0.00136875 | val_loss: 0.0013247 | Time: 23802.3 ms [2020-11-11 05:01:23 main:574] : INFO : Epoch 89 | loss: 0.00130897 | val_loss: 0.0012671 | Time: 24119.2 ms [2020-11-11 05:01:46 main:574] : INFO : Epoch 90 | loss: 0.00125082 | val_loss: 0.00121049 | Time: 23390.9 ms [2020-11-11 05:02:11 main:574] : INFO : Epoch 91 | loss: 0.00119585 | val_loss: 0.00115636 | Time: 24848.3 ms [2020-11-11 05:02:34 main:574] : INFO : Epoch 92 | loss: 0.00114354 | val_loss: 0.00110538 | Time: 23452.6 ms [2020-11-11 05:02:59 main:574] : INFO : Epoch 93 | loss: 0.0010931 | val_loss: 0.00105709 | Time: 24690.5 ms [2020-11-11 05:03:23 main:574] : INFO : Epoch 94 | loss: 0.00104561 | val_loss: 0.00101262 | Time: 24331.6 ms [2020-11-11 05:03:48 main:574] : INFO : Epoch 95 | loss: 0.000999806 | val_loss: 0.000966381 | Time: 25090.2 ms [2020-11-11 05:04:12 main:574] : INFO : Epoch 96 | loss: 0.000957152 | val_loss: 0.000923619 | Time: 23455.3 ms [2020-11-11 05:04:35 main:574] : INFO : Epoch 97 | loss: 0.00091553 | val_loss: 0.000884332 | Time: 23177.9 ms [2020-11-11 05:04:58 main:574] : INFO : Epoch 98 | loss: 0.000875655 | val_loss: 0.00084707 | Time: 23190.8 ms [2020-11-11 05:05:22 main:574] : INFO : Epoch 99 | loss: 0.000838873 | val_loss: 0.000810065 | Time: 24033 ms [2020-11-11 05:05:48 main:574] : INFO : Epoch 100 | loss: 0.000803058 | val_loss: 0.000776674 | Time: 25260.7 ms [2020-11-11 05:06:12 main:574] : INFO : Epoch 101 | loss: 0.000768851 | val_loss: 0.000741241 | Time: 23956.3 ms [2020-11-11 05:06:36 main:574] : INFO : Epoch 102 | loss: 0.000736593 | val_loss: 0.000711907 | Time: 24179.9 ms [2020-11-11 05:07:00 main:574] : INFO : Epoch 103 | loss: 0.000704947 | val_loss: 0.00068202 | Time: 24302.2 ms [2020-11-11 05:07:24 main:574] : INFO : Epoch 104 | loss: 0.000676135 | val_loss: 0.000653245 | Time: 24042.6 ms [2020-11-11 05:07:48 main:574] : INFO : Epoch 105 | loss: 0.000647278 | val_loss: 0.000625812 | Time: 24093.1 ms [2020-11-11 05:08:13 main:574] : INFO : Epoch 106 | loss: 0.000619932 | val_loss: 0.000597976 | Time: 25088.3 ms [2020-11-11 05:08:37 main:574] : INFO : Epoch 107 | loss: 0.00059429 | val_loss: 0.000574565 | Time: 23361.8 ms [2020-11-11 05:09:01 main:574] : INFO : Epoch 108 | loss: 0.000570291 | val_loss: 0.00054844 | Time: 24051.5 ms [2020-11-11 05:09:25 main:574] : INFO : Epoch 109 | loss: 0.000546184 | val_loss: 0.000527352 | Time: 24208.1 ms [2020-11-11 05:09:50 main:574] : INFO : Epoch 110 | loss: 0.000523837 | val_loss: 0.00050603 | Time: 24850.1 ms [2020-11-11 05:10:15 main:574] : INFO : Epoch 111 | loss: 0.00050261 | val_loss: 0.000486418 | Time: 25137.7 ms [2020-11-11 05:10:39 main:574] : INFO : Epoch 112 | loss: 0.000482007 | val_loss: 0.000465712 | Time: 23527.9 ms [2020-11-11 05:11:04 main:574] : INFO : Epoch 113 | loss: 0.000463147 | val_loss: 0.000445577 | Time: 25775.8 ms [2020-11-11 05:11:31 main:574] : INFO : Epoch 114 | loss: 0.000443961 | val_loss: 0.000428089 | Time: 26220.3 ms [2020-11-11 05:11:56 main:574] : INFO : Epoch 115 | loss: 0.000426447 | val_loss: 0.000412297 | Time: 25430.3 ms [2020-11-11 05:12:22 main:574] : INFO : Epoch 116 | loss: 0.000409066 | val_loss: 0.00039695 | Time: 25995.3 ms [2020-11-11 05:12:47 main:574] : INFO : Epoch 117 | loss: 0.000393384 | val_loss: 0.000379004 | Time: 25254.2 ms [2020-11-11 05:13:14 main:574] : INFO : Epoch 118 | loss: 0.000377396 | val_loss: 0.000364215 | Time: 26239.3 ms [2020-11-11 05:13:39 main:574] : INFO : Epoch 119 | loss: 0.00036322 | val_loss: 0.000350289 | Time: 25068.4 ms [2020-11-11 05:14:05 main:574] : INFO : Epoch 120 | loss: 0.000349302 | val_loss: 0.000337379 | Time: 26159 ms [2020-11-11 05:14:40 main:574] : INFO : Epoch 121 | loss: 0.000336195 | val_loss: 0.00032345 | Time: 35232.5 ms [2020-11-11 05:15:15 main:574] : INFO : Epoch 122 | loss: 0.000323002 | val_loss: 0.000312073 | Time: 35178.8 ms [2020-11-11 05:15:49 main:574] : INFO : Epoch 123 | loss: 0.000311078 | val_loss: 0.000299875 | Time: 33298.4 ms [2020-11-11 05:16:26 main:574] : INFO : Epoch 124 | loss: 0.000300142 | val_loss: 0.000289291 | Time: 36948.9 ms [2020-11-11 05:17:00 main:574] : INFO : Epoch 125 | loss: 0.000289049 | val_loss: 0.000278742 | Time: 34570.9 ms [2020-11-11 05:17:41 main:574] : INFO : Epoch 126 | loss: 0.000278459 | val_loss: 0.000270242 | Time: 40433.8 ms [2020-11-11 05:18:18 main:574] : INFO : Epoch 127 | loss: 0.000269407 | val_loss: 0.000261053 | Time: 36983 ms [2020-11-11 05:18:54 main:574] : INFO : Epoch 128 | loss: 0.000259546 | val_loss: 0.000251556 | Time: 36196.8 ms [2020-11-11 05:19:29 main:574] : INFO : Epoch 129 | loss: 0.000250615 | val_loss: 0.000241216 | Time: 35218.7 ms [2020-11-11 05:20:02 main:574] : INFO : Epoch 130 | loss: 0.000241552 | val_loss: 0.000233103 | Time: 32677 ms [2020-11-11 05:20:40 main:574] : INFO : Epoch 131 | loss: 0.00023361 | val_loss: 0.000226449 | Time: 37760.6 ms [2020-11-11 05:21:17 main:574] : INFO : Epoch 132 | loss: 0.0002259 | val_loss: 0.000219195 | Time: 37812.4 ms [2020-11-11 05:21:55 main:574] : INFO : Epoch 133 | loss: 0.000218111 | val_loss: 0.000209944 | Time: 37457.6 ms [2020-11-11 05:22:33 main:574] : INFO : Epoch 134 | loss: 0.000211659 | val_loss: 0.000203369 | Time: 37624.7 ms [2020-11-11 05:23:10 main:574] : INFO : Epoch 135 | loss: 0.000205003 | val_loss: 0.000196502 | Time: 37793.8 ms [2020-11-11 05:23:46 main:574] : INFO : Epoch 136 | loss: 0.000198295 | val_loss: 0.0001904 | Time: 36011.1 ms [2020-11-11 05:24:25 main:574] : INFO : Epoch 137 | loss: 0.000191937 | val_loss: 0.000185313 | Time: 38372 ms [2020-11-11 05:25:02 main:574] : INFO : Epoch 138 | loss: 0.000186204 | val_loss: 0.000178961 | Time: 37185.2 ms [2020-11-11 05:25:36 main:574] : INFO : Epoch 139 | loss: 0.000180835 | val_loss: 0.000177641 | Time: 34374.7 ms [2020-11-11 05:26:13 main:574] : INFO : Epoch 140 | loss: 0.000174975 | val_loss: 0.000169882 | Time: 37083.3 ms [2020-11-11 05:26:49 main:574] : INFO : Epoch 141 | loss: 0.000169803 | val_loss: 0.000164557 | Time: 35305.5 ms [2020-11-11 05:27:23 main:574] : INFO : Epoch 142 | loss: 0.000165666 | val_loss: 0.000159383 | Time: 34614.8 ms [2020-11-11 05:27:57 main:574] : INFO : Epoch 143 | loss: 0.000160615 | val_loss: 0.000154973 | Time: 33849.6 ms [2020-11-11 05:28:33 main:574] : INFO : Epoch 144 | loss: 0.00015619 | val_loss: 0.000151461 | Time: 35211 ms [2020-11-11 05:29:07 main:574] : INFO : Epoch 145 | loss: 0.000152496 | val_loss: 0.000149206 | Time: 34355 ms [2020-11-11 05:29:44 main:574] : INFO : Epoch 146 | loss: 0.000148626 | val_loss: 0.000144656 | Time: 37255.9 ms [2020-11-11 05:30:20 main:574] : INFO : Epoch 147 | loss: 0.000144063 | val_loss: 0.000139173 | Time: 35972.1 ms [2020-11-11 05:30:58 main:574] : INFO : Epoch 148 | loss: 0.000140239 | val_loss: 0.000137104 | Time: 37392.8 ms [2020-11-11 05:31:37 main:574] : INFO : Epoch 149 | loss: 0.000137094 | val_loss: 0.000130865 | Time: 39051.3 ms [2020-11-11 05:32:14 main:574] : INFO : Epoch 150 | loss: 0.00013294 | val_loss: 0.000130481 | Time: 37510.6 ms [2020-11-11 05:32:51 main:574] : INFO : Epoch 151 | loss: 0.000130029 | val_loss: 0.00012676 | Time: 37135.6 ms [2020-11-11 05:33:26 main:574] : INFO : Epoch 152 | loss: 0.000127233 | val_loss: 0.000123104 | Time: 34210.5 ms [2020-11-11 05:34:05 main:574] : INFO : Epoch 153 | loss: 0.000123859 | val_loss: 0.000120123 | Time: 39619.8 ms [2020-11-11 05:34:41 main:574] : INFO : Epoch 154 | loss: 0.000120965 | val_loss: 0.000118445 | Time: 35910.4 ms [2020-11-11 05:35:18 main:574] : INFO : Epoch 155 | loss: 0.000118209 | val_loss: 0.00011459 | Time: 37074.7 ms [2020-11-11 05:35:53 main:574] : INFO : Epoch 156 | loss: 0.000115426 | val_loss: 0.000112917 | Time: 34249.1 ms [2020-11-11 05:36:32 main:574] : INFO : Epoch 157 | loss: 0.000112706 | val_loss: 0.000108997 | Time: 39526 ms [2020-11-11 05:37:12 main:574] : INFO : Epoch 158 | loss: 0.000110122 | val_loss: 0.000107094 | Time: 39938.2 ms [2020-11-11 05:37:51 main:574] : INFO : Epoch 159 | loss: 0.000107948 | val_loss: 0.000104652 | Time: 38458.3 ms [2020-11-11 05:38:32 main:574] : INFO : Epoch 160 | loss: 0.000105028 | val_loss: 0.000103047 | Time: 41632.9 ms [2020-11-11 05:39:12 main:574] : INFO : Epoch 161 | loss: 0.000103091 | val_loss: 9.9997e-05 | Time: 39718.2 ms [2020-11-11 05:39:52 main:574] : INFO : Epoch 162 | loss: 0.000100512 | val_loss: 9.71054e-05 | Time: 40100.2 ms [2020-11-11 05:40:32 main:574] : INFO : Epoch 163 | loss: 9.89083e-05 | val_loss: 9.58116e-05 | Time: 39648.3 ms [2020-11-11 05:41:08 main:574] : INFO : Epoch 164 | loss: 9.67822e-05 | val_loss: 9.37193e-05 | Time: 36004.2 ms [2020-11-11 05:41:44 main:574] : INFO : Epoch 165 | loss: 9.47176e-05 | val_loss: 9.35609e-05 | Time: 36462.7 ms [2020-11-11 05:42:21 main:574] : INFO : Epoch 166 | loss: 9.29615e-05 | val_loss: 9.07195e-05 | Time: 37282.7 ms [2020-11-11 05:43:00 main:574] : INFO : Epoch 167 | loss: 9.09873e-05 | val_loss: 8.93879e-05 | Time: 38640.6 ms [2020-11-11 05:43:39 main:574] : INFO : Epoch 168 | loss: 8.90475e-05 | val_loss: 8.75624e-05 | Time: 38350.8 ms [2020-11-11 05:44:17 main:574] : INFO : Epoch 169 | loss: 8.72334e-05 | val_loss: 8.54011e-05 | Time: 38473.8 ms [2020-11-11 05:44:54 main:574] : INFO : Epoch 170 | loss: 8.59215e-05 | val_loss: 8.45412e-05 | Time: 36607.1 ms [2020-11-11 05:45:32 main:574] : INFO : Epoch 171 | loss: 8.40803e-05 | val_loss: 8.23756e-05 | Time: 37952.6 ms [2020-11-11 05:46:08 main:574] : INFO : Epoch 172 | loss: 8.26085e-05 | val_loss: 8.0721e-05 | Time: 36310.6 ms [2020-11-11 05:46:47 main:574] : INFO : Epoch 173 | loss: 8.0989e-05 | val_loss: 8.07189e-05 | Time: 39111.6 ms [2020-11-11 05:47:28 main:574] : INFO : Epoch 174 | loss: 7.96541e-05 | val_loss: 7.77018e-05 | Time: 41351.1 ms [2020-11-11 05:48:10 main:574] : INFO : Epoch 175 | loss: 7.83165e-05 | val_loss: 7.77614e-05 | Time: 41133.4 ms [2020-11-11 05:48:52 main:574] : INFO : Epoch 176 | loss: 7.69779e-05 | val_loss: 7.51528e-05 | Time: 42223 ms [2020-11-11 05:49:33 main:574] : INFO : Epoch 177 | loss: 7.53301e-05 | val_loss: 7.42728e-05 | Time: 40611.4 ms [2020-11-11 05:50:12 main:574] : INFO : Epoch 178 | loss: 7.42422e-05 | val_loss: 7.32039e-05 | Time: 39754.6 ms [2020-11-11 05:50:48 main:574] : INFO : Epoch 179 | loss: 7.30948e-05 | val_loss: 7.15021e-05 | Time: 35758 ms [2020-11-11 05:51:28 main:574] : INFO : Epoch 180 | loss: 7.15759e-05 | val_loss: 6.941e-05 | Time: 40097.1 ms [2020-11-11 05:52:10 main:574] : INFO : Epoch 181 | loss: 7.0124e-05 | val_loss: 6.90574e-05 | Time: 41621.9 ms [2020-11-11 05:52:47 main:574] : INFO : Epoch 182 | loss: 6.90426e-05 | val_loss: 6.86094e-05 | Time: 37097.1 ms [2020-11-11 05:53:24 main:574] : INFO : Epoch 183 | loss: 6.82529e-05 | val_loss: 6.75051e-05 | Time: 37273.5 ms [2020-11-11 05:54:02 main:574] : INFO : Epoch 184 | loss: 6.69843e-05 | val_loss: 6.60177e-05 | Time: 38200.8 ms [2020-11-11 05:54:40 main:574] : INFO : Epoch 185 | loss: 6.59812e-05 | val_loss: 6.53203e-05 | Time: 37262.5 ms [2020-11-11 05:55:23 main:574] : INFO : Epoch 186 | loss: 6.50232e-05 | val_loss: 6.37132e-05 | Time: 43360.4 ms [2020-11-11 05:56:02 main:574] : INFO : Epoch 187 | loss: 6.41784e-05 | val_loss: 6.38283e-05 | Time: 39327.5 ms [2020-11-11 05:56:44 main:574] : INFO : Epoch 188 | loss: 6.29091e-05 | val_loss: 6.33921e-05 | Time: 41664.5 ms [2020-11-11 05:57:23 main:574] : INFO : Epoch 189 | loss: 6.2217e-05 | val_loss: 6.14831e-05 | Time: 38742.5 ms [2020-11-11 05:58:04 main:574] : INFO : Epoch 190 | loss: 6.11324e-05 | val_loss: 5.99618e-05 | Time: 41323.9 ms [2020-11-11 05:58:44 main:574] : INFO : Epoch 191 | loss: 6.07461e-05 | val_loss: 6.16699e-05 | Time: 40243.2 ms [2020-11-11 05:59:23 main:574] : INFO : Epoch 192 | loss: 5.92141e-05 | val_loss: 6.06135e-05 | Time: 38608.8 ms [2020-11-11 05:59:23 main:597] : INFO : Saving trained model to model-final.pt, val_loss 6.06135e-05 [2020-11-11 05:59:23 main:603] : INFO : Saving end state to config to file [2020-11-11 05:59:23 main:608] : INFO : Success, exiting.. 05:59:23 (50688): 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)