| Name | rand_automata_0059-1604947484-21671-0_1 |
| Workunit | 1259376 |
| Created | 9 Nov 2020, 18:58:31 UTC |
| Sent | 9 Nov 2020, 19:02:06 UTC |
| Report deadline | 10 Nov 2020, 17:32:06 UTC |
| Received | 10 Nov 2020, 11:09:59 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 596 |
| Run time | 51 min 27 sec |
| CPU time | 49 min 55 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 11:18:26 main:435] : INFO : Set logging level to 1 [2020-11-10 11:18:26 main:441] : INFO : Running in BOINC Client mode [2020-11-10 11:18:26 main:444] : INFO : Resolving all filenames [2020-11-10 11:18:26 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0059-train-val-dataset.hdf5 (exists = 1) [2020-11-10 11:18:26 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0059-1604947484-21671-0_1_r1430510557_1 (exists = 0) [2020-11-10 11:18:26 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0059-1604947484-21671-0_1_r1430510557_0 (exists = 0) [2020-11-10 11:18:26 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-10 11:18:26 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-10 11:18:26 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0059-train-val-dataset.hdf5 [2020-11-10 11:18:26 main:474] : INFO : Configuration: [2020-11-10 11:18:26 main:475] : INFO : Model type: LSTM [2020-11-10 11:18:26 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-10 11:18:26 main:477] : INFO : Max Epochs: 192 [2020-11-10 11:18:26 main:478] : INFO : Batch Size: 32 [2020-11-10 11:18:26 main:479] : INFO : Learning Rate: 0.001 [2020-11-10 11:18:26 main:480] : INFO : Patience: 10 [2020-11-10 11:18:26 main:481] : INFO : Hidden Width: 64 [2020-11-10 11:18:27 main:482] : INFO : # Recurrent Layers: 4 [2020-11-10 11:18:27 main:483] : INFO : # Backend Layers: 2 [2020-11-10 11:18:27 main:484] : INFO : # Threads: 1 [2020-11-10 11:18:27 main:486] : INFO : Preparing Dataset [2020-11-10 11:18:27 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0059-train-val-dataset.hdf5 into memory [2020-11-10 11:18:27 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0059-train-val-dataset.hdf5 into memory [2020-11-10 11:18:33 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-10 11:18:33 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0059-train-val-dataset.hdf5 into memory [2020-11-10 11:18:33 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0059-train-val-dataset.hdf5 into memory [2020-11-10 11:18:33 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-10 11:18:33 main:494] : INFO : Creating Model [2020-11-10 11:18:33 main:507] : INFO : Preparing config file [2020-11-10 11:18:33 main:519] : INFO : Creating new config file [2020-11-10 11:18:39 main:559] : INFO : Loading DataLoader into Memory [2020-11-10 11:18:39 main:562] : INFO : Starting Training [2020-11-10 11:18:56 main:574] : INFO : Epoch 1 | loss: 0.0660863 | val_loss: 0.0656873 | Time: 17190.9 ms [2020-11-10 11:19:12 main:574] : INFO : Epoch 2 | loss: 0.0649551 | val_loss: 0.0634304 | Time: 15912.4 ms [2020-11-10 11:19:28 main:574] : INFO : Epoch 3 | loss: 0.0604788 | val_loss: 0.058353 | Time: 16134.1 ms [2020-11-10 11:19:44 main:574] : INFO : Epoch 4 | loss: 0.056758 | val_loss: 0.0555076 | Time: 15988.5 ms [2020-11-10 11:20:00 main:574] : INFO : Epoch 5 | loss: 0.0541844 | val_loss: 0.0533746 | Time: 15937.9 ms [2020-11-10 11:20:16 main:574] : INFO : Epoch 6 | loss: 0.0523912 | val_loss: 0.0518317 | Time: 16103.6 ms [2020-11-10 11:20:32 main:574] : INFO : Epoch 7 | loss: 0.0508548 | val_loss: 0.0504211 | Time: 15980.5 ms [2020-11-10 11:20:48 main:574] : INFO : Epoch 8 | loss: 0.0494411 | val_loss: 0.0489175 | Time: 15941.4 ms [2020-11-10 11:21:04 main:574] : INFO : Epoch 9 | loss: 0.0479212 | val_loss: 0.0473645 | Time: 15975.2 ms [2020-11-10 11:21:20 main:574] : INFO : Epoch 10 | loss: 0.0461989 | val_loss: 0.0456723 | Time: 15924.4 ms [2020-11-10 11:21:36 main:574] : INFO : Epoch 11 | loss: 0.0443581 | val_loss: 0.0442576 | Time: 15809.2 ms [2020-11-10 11:21:52 main:574] : INFO : Epoch 12 | loss: 0.0421954 | val_loss: 0.0417368 | Time: 15976.1 ms [2020-11-10 11:22:08 main:574] : INFO : Epoch 13 | loss: 0.0397897 | val_loss: 0.0393158 | Time: 15815.1 ms [2020-11-10 11:22:24 main:574] : INFO : Epoch 14 | loss: 0.0372059 | val_loss: 0.0370994 | Time: 15908.1 ms [2020-11-10 11:22:40 main:574] : INFO : Epoch 15 | loss: 0.0346134 | val_loss: 0.0343989 | Time: 15873.5 ms [2020-11-10 11:22:56 main:574] : INFO : Epoch 16 | loss: 0.0318121 | val_loss: 0.0313594 | Time: 15880 ms [2020-11-10 11:23:12 main:574] : INFO : Epoch 17 | loss: 0.0291259 | val_loss: 0.0291614 | Time: 15910.1 ms [2020-11-10 11:23:27 main:574] : INFO : Epoch 18 | loss: 0.0267562 | val_loss: 0.0282255 | Time: 15818.6 ms [2020-11-10 11:23:43 main:574] : INFO : Epoch 19 | loss: 0.025228 | val_loss: 0.028185 | Time: 15965.6 ms [2020-11-10 11:24:00 main:574] : INFO : Epoch 20 | loss: 0.0219581 | val_loss: 0.0240502 | Time: 16023.7 ms [2020-11-10 11:24:16 main:574] : INFO : Epoch 21 | loss: 0.0216894 | val_loss: 0.0231195 | Time: 16077.8 ms [2020-11-10 11:24:32 main:574] : INFO : Epoch 22 | loss: 0.0210701 | val_loss: 0.0189697 | Time: 15907.6 ms [2020-11-10 11:24:47 main:574] : INFO : Epoch 23 | loss: 0.0183326 | val_loss: 0.0154725 | Time: 15655.5 ms [2020-11-10 11:25:03 main:574] : INFO : Epoch 24 | loss: 0.0151683 | val_loss: 0.0186908 | Time: 15790.8 ms [2020-11-10 11:25:19 main:574] : INFO : Epoch 25 | loss: 0.013053 | val_loss: 0.0121492 | Time: 15897.6 ms [2020-11-10 11:25:35 main:574] : INFO : Epoch 26 | loss: 0.013352 | val_loss: 0.0116789 | Time: 15829.2 ms [2020-11-10 11:25:51 main:574] : INFO : Epoch 27 | loss: 0.014136 | val_loss: 0.0167171 | Time: 15884.2 ms [2020-11-10 11:26:07 main:574] : INFO : Epoch 28 | loss: 0.0133503 | val_loss: 0.0144641 | Time: 15782.1 ms [2020-11-10 11:26:22 main:574] : INFO : Epoch 29 | loss: 0.0223695 | val_loss: 0.0607381 | Time: 15811.3 ms [2020-11-10 11:26:38 main:574] : INFO : Epoch 30 | loss: 0.0568946 | val_loss: 0.0527107 | Time: 15852.3 ms [2020-11-10 11:26:54 main:574] : INFO : Epoch 31 | loss: 0.0407717 | val_loss: 0.0220195 | Time: 15832.6 ms [2020-11-10 11:27:10 main:574] : INFO : Epoch 32 | loss: 0.0137235 | val_loss: 0.0131476 | Time: 15718.1 ms [2020-11-10 11:27:26 main:574] : INFO : Epoch 33 | loss: 0.0123323 | val_loss: 0.0101776 | Time: 15932.5 ms [2020-11-10 11:27:42 main:574] : INFO : Epoch 34 | loss: 0.0115006 | val_loss: 0.0177654 | Time: 16033.4 ms [2020-11-10 11:27:58 main:574] : INFO : Epoch 35 | loss: 0.00967944 | val_loss: 0.00827419 | Time: 15982.9 ms [2020-11-10 11:28:14 main:574] : INFO : Epoch 36 | loss: 0.0150049 | val_loss: 0.010197 | Time: 16012.1 ms [2020-11-10 11:28:30 main:574] : INFO : Epoch 37 | loss: 0.00845374 | val_loss: 0.00815095 | Time: 15914.3 ms [2020-11-10 11:28:46 main:574] : INFO : Epoch 38 | loss: 0.0078288 | val_loss: 0.00754352 | Time: 15989.5 ms [2020-11-10 11:29:02 main:574] : INFO : Epoch 39 | loss: 0.0073608 | val_loss: 0.00715243 | Time: 15959 ms [2020-11-10 11:29:18 main:574] : INFO : Epoch 40 | loss: 0.0066615 | val_loss: 0.00674823 | Time: 15954.3 ms [2020-11-10 11:29:34 main:574] : INFO : Epoch 41 | loss: 0.00635619 | val_loss: 0.00645954 | Time: 15948.6 ms [2020-11-10 11:29:50 main:574] : INFO : Epoch 42 | loss: 0.00610437 | val_loss: 0.00620794 | Time: 15739.5 ms [2020-11-10 11:30:06 main:574] : INFO : Epoch 43 | loss: 0.00589197 | val_loss: 0.00601384 | Time: 15872.1 ms [2020-11-10 11:30:22 main:574] : INFO : Epoch 44 | loss: 0.00569576 | val_loss: 0.00580055 | Time: 15688.7 ms [2020-11-10 11:30:38 main:574] : INFO : Epoch 45 | loss: 0.00551721 | val_loss: 0.00564431 | Time: 16011 ms [2020-11-10 11:30:54 main:574] : INFO : Epoch 46 | loss: 0.00535323 | val_loss: 0.00544873 | Time: 15836.3 ms [2020-11-10 11:31:09 main:574] : INFO : Epoch 47 | loss: 0.00516011 | val_loss: 0.00526275 | Time: 15705.9 ms [2020-11-10 11:31:25 main:574] : INFO : Epoch 48 | loss: 0.00498923 | val_loss: 0.00509398 | Time: 15967.4 ms [2020-11-10 11:31:41 main:574] : INFO : Epoch 49 | loss: 0.00482533 | val_loss: 0.00491341 | Time: 16008.9 ms [2020-11-10 11:31:57 main:574] : INFO : Epoch 50 | loss: 0.00465674 | val_loss: 0.00472626 | Time: 16057.6 ms [2020-11-10 11:32:13 main:574] : INFO : Epoch 51 | loss: 0.00449798 | val_loss: 0.00456949 | Time: 15864.2 ms [2020-11-10 11:32:29 main:574] : INFO : Epoch 52 | loss: 0.00434413 | val_loss: 0.00438481 | Time: 15844.1 ms [2020-11-10 11:32:45 main:574] : INFO : Epoch 53 | loss: 0.00419002 | val_loss: 0.00421917 | Time: 15985.7 ms [2020-11-10 11:33:01 main:574] : INFO : Epoch 54 | loss: 0.00404632 | val_loss: 0.0040622 | Time: 15851.7 ms [2020-11-10 11:33:17 main:574] : INFO : Epoch 55 | loss: 0.00388677 | val_loss: 0.00390414 | Time: 15879 ms [2020-11-10 11:33:33 main:574] : INFO : Epoch 56 | loss: 0.00374113 | val_loss: 0.00375134 | Time: 15985.4 ms [2020-11-10 11:33:49 main:574] : INFO : Epoch 57 | loss: 0.00359525 | val_loss: 0.00359048 | Time: 15895 ms [2020-11-10 11:34:05 main:574] : INFO : Epoch 58 | loss: 0.00345422 | val_loss: 0.00343982 | Time: 15765.6 ms [2020-11-10 11:34:21 main:574] : INFO : Epoch 59 | loss: 0.00331596 | val_loss: 0.00329889 | Time: 15817.6 ms [2020-11-10 11:34:37 main:574] : INFO : Epoch 60 | loss: 0.0031796 | val_loss: 0.0031632 | Time: 15945.2 ms [2020-11-10 11:34:53 main:574] : INFO : Epoch 61 | loss: 0.00304611 | val_loss: 0.00302399 | Time: 15816.7 ms [2020-11-10 11:35:08 main:574] : INFO : Epoch 62 | loss: 0.00291786 | val_loss: 0.00289916 | Time: 15881.2 ms [2020-11-10 11:35:24 main:574] : INFO : Epoch 63 | loss: 0.00279234 | val_loss: 0.00276736 | Time: 15771.6 ms [2020-11-10 11:35:40 main:574] : INFO : Epoch 64 | loss: 0.00266977 | val_loss: 0.00264659 | Time: 15914 ms [2020-11-10 11:35:56 main:574] : INFO : Epoch 65 | loss: 0.00255127 | val_loss: 0.00252356 | Time: 16008.3 ms [2020-11-10 11:36:12 main:574] : INFO : Epoch 66 | loss: 0.00243808 | val_loss: 0.00240611 | Time: 15917.3 ms [2020-11-10 11:36:28 main:574] : INFO : Epoch 67 | loss: 0.00232659 | val_loss: 0.00229613 | Time: 15952.3 ms [2020-11-10 11:36:44 main:574] : INFO : Epoch 68 | loss: 0.0022211 | val_loss: 0.00219076 | Time: 16027.7 ms [2020-11-10 11:37:00 main:574] : INFO : Epoch 69 | loss: 0.00211795 | val_loss: 0.00208816 | Time: 15934.7 ms [2020-11-10 11:37:16 main:574] : INFO : Epoch 70 | loss: 0.00202004 | val_loss: 0.0019891 | Time: 15835.2 ms [2020-11-10 11:37:32 main:574] : INFO : Epoch 71 | loss: 0.00192533 | val_loss: 0.00189667 | Time: 16001.3 ms [2020-11-10 11:37:48 main:574] : INFO : Epoch 72 | loss: 0.00183463 | val_loss: 0.00180534 | Time: 15935.7 ms [2020-11-10 11:38:04 main:574] : INFO : Epoch 73 | loss: 0.00174896 | val_loss: 0.0017174 | Time: 15879.8 ms [2020-11-10 11:38:20 main:574] : INFO : Epoch 74 | loss: 0.00166552 | val_loss: 0.00163663 | Time: 15689.9 ms [2020-11-10 11:38:36 main:574] : INFO : Epoch 75 | loss: 0.00158622 | val_loss: 0.00155842 | Time: 15697.7 ms [2020-11-10 11:38:52 main:574] : INFO : Epoch 76 | loss: 0.00151081 | val_loss: 0.00148326 | Time: 15897.6 ms [2020-11-10 11:39:07 main:574] : INFO : Epoch 77 | loss: 0.00143882 | val_loss: 0.00141029 | Time: 15819.4 ms [2020-11-10 11:39:23 main:574] : INFO : Epoch 78 | loss: 0.00136923 | val_loss: 0.00134443 | Time: 15839.9 ms [2020-11-10 11:39:39 main:574] : INFO : Epoch 79 | loss: 0.0013037 | val_loss: 0.00127793 | Time: 15947.6 ms [2020-11-10 11:39:55 main:574] : INFO : Epoch 80 | loss: 0.00124107 | val_loss: 0.00121856 | Time: 15938.1 ms [2020-11-10 11:40:11 main:574] : INFO : Epoch 81 | loss: 0.00118097 | val_loss: 0.00115872 | Time: 15926.2 ms [2020-11-10 11:40:27 main:574] : INFO : Epoch 82 | loss: 0.0011237 | val_loss: 0.00110292 | Time: 15912.1 ms [2020-11-10 11:40:43 main:574] : INFO : Epoch 83 | loss: 0.00106891 | val_loss: 0.00104819 | Time: 15867.9 ms [2020-11-10 11:40:59 main:574] : INFO : Epoch 84 | loss: 0.00101677 | val_loss: 0.00099874 | Time: 15973.1 ms [2020-11-10 11:41:15 main:574] : INFO : Epoch 85 | loss: 0.000967136 | val_loss: 0.000949744 | Time: 15838.3 ms [2020-11-10 11:41:31 main:574] : INFO : Epoch 86 | loss: 0.000919427 | val_loss: 0.000902052 | Time: 15755.4 ms [2020-11-10 11:41:47 main:574] : INFO : Epoch 87 | loss: 0.000874715 | val_loss: 0.000858079 | Time: 15847.9 ms [2020-11-10 11:42:03 main:574] : INFO : Epoch 88 | loss: 0.000832488 | val_loss: 0.000818703 | Time: 15847.5 ms [2020-11-10 11:42:18 main:574] : INFO : Epoch 89 | loss: 0.000791254 | val_loss: 0.0007747 | Time: 15649.9 ms [2020-11-10 11:42:34 main:574] : INFO : Epoch 90 | loss: 0.000751958 | val_loss: 0.000737559 | Time: 15688.7 ms [2020-11-10 11:42:50 main:574] : INFO : Epoch 91 | loss: 0.000714883 | val_loss: 0.000702648 | Time: 15869.7 ms [2020-11-10 11:43:06 main:574] : INFO : Epoch 92 | loss: 0.000680417 | val_loss: 0.000667779 | Time: 15956.7 ms [2020-11-10 11:43:22 main:574] : INFO : Epoch 93 | loss: 0.000646744 | val_loss: 0.000635474 | Time: 15861.3 ms [2020-11-10 11:43:38 main:574] : INFO : Epoch 94 | loss: 0.000615064 | val_loss: 0.000606975 | Time: 15857.7 ms [2020-11-10 11:43:54 main:574] : INFO : Epoch 95 | loss: 0.00058521 | val_loss: 0.000573927 | Time: 15926.5 ms [2020-11-10 11:44:10 main:574] : INFO : Epoch 96 | loss: 0.000557327 | val_loss: 0.000549539 | Time: 16088.7 ms [2020-11-10 11:44:26 main:574] : INFO : Epoch 97 | loss: 0.000529853 | val_loss: 0.000521655 | Time: 15973.5 ms [2020-11-10 11:44:42 main:574] : INFO : Epoch 98 | loss: 0.000504543 | val_loss: 0.000496616 | Time: 15909.8 ms [2020-11-10 11:44:58 main:574] : INFO : Epoch 99 | loss: 0.000480375 | val_loss: 0.000472225 | Time: 15861.8 ms [2020-11-10 11:45:14 main:574] : INFO : Epoch 100 | loss: 0.00045739 | val_loss: 0.000450128 | Time: 15819.7 ms [2020-11-10 11:45:29 main:574] : INFO : Epoch 101 | loss: 0.000435686 | val_loss: 0.000427044 | Time: 15897.2 ms [2020-11-10 11:45:45 main:574] : INFO : Epoch 102 | loss: 0.000415405 | val_loss: 0.000410456 | Time: 15927.8 ms [2020-11-10 11:46:01 main:574] : INFO : Epoch 103 | loss: 0.00039597 | val_loss: 0.000389471 | Time: 15791 ms [2020-11-10 11:46:17 main:574] : INFO : Epoch 104 | loss: 0.000377464 | val_loss: 0.00037155 | Time: 15861.2 ms [2020-11-10 11:46:33 main:574] : INFO : Epoch 105 | loss: 0.000360148 | val_loss: 0.000356383 | Time: 15663.8 ms [2020-11-10 11:46:49 main:574] : INFO : Epoch 106 | loss: 0.000344067 | val_loss: 0.0003407 | Time: 15677 ms [2020-11-10 11:47:05 main:574] : INFO : Epoch 107 | loss: 0.000328371 | val_loss: 0.000323854 | Time: 15940.6 ms [2020-11-10 11:47:21 main:574] : INFO : Epoch 108 | loss: 0.000314218 | val_loss: 0.000309565 | Time: 15958.1 ms [2020-11-10 11:47:37 main:574] : INFO : Epoch 109 | loss: 0.000299589 | val_loss: 0.000296557 | Time: 15946.4 ms [2020-11-10 11:47:53 main:574] : INFO : Epoch 110 | loss: 0.000286967 | val_loss: 0.000281853 | Time: 15969.4 ms [2020-11-10 11:48:09 main:574] : INFO : Epoch 111 | loss: 0.000274522 | val_loss: 0.00027235 | Time: 15926.9 ms [2020-11-10 11:48:25 main:574] : INFO : Epoch 112 | loss: 0.000262942 | val_loss: 0.000259797 | Time: 15998.4 ms [2020-11-10 11:48:41 main:574] : INFO : Epoch 113 | loss: 0.000251684 | val_loss: 0.000249262 | Time: 16062.8 ms [2020-11-10 11:48:57 main:574] : INFO : Epoch 114 | loss: 0.000241142 | val_loss: 0.00023765 | Time: 15894.2 ms [2020-11-10 11:49:13 main:574] : INFO : Epoch 115 | loss: 0.000230633 | val_loss: 0.000227439 | Time: 16041.1 ms [2020-11-10 11:49:29 main:574] : INFO : Epoch 116 | loss: 0.00022172 | val_loss: 0.000220809 | Time: 15975.7 ms [2020-11-10 11:49:45 main:574] : INFO : Epoch 117 | loss: 0.000212429 | val_loss: 0.00020981 | Time: 15863.3 ms [2020-11-10 11:50:01 main:574] : INFO : Epoch 118 | loss: 0.000203901 | val_loss: 0.000200383 | Time: 15926.4 ms [2020-11-10 11:50:17 main:574] : INFO : Epoch 119 | loss: 0.000195532 | val_loss: 0.000193585 | Time: 15886.9 ms [2020-11-10 11:50:32 main:574] : INFO : Epoch 120 | loss: 0.000188336 | val_loss: 0.000185792 | Time: 15693 ms [2020-11-10 11:50:48 main:574] : INFO : Epoch 121 | loss: 0.000180867 | val_loss: 0.00017879 | Time: 15684.6 ms [2020-11-10 11:51:04 main:574] : INFO : Epoch 122 | loss: 0.000174035 | val_loss: 0.000171954 | Time: 15856.5 ms [2020-11-10 11:51:20 main:574] : INFO : Epoch 123 | loss: 0.000167471 | val_loss: 0.000165378 | Time: 16029.5 ms [2020-11-10 11:51:36 main:574] : INFO : Epoch 124 | loss: 0.000161423 | val_loss: 0.000159561 | Time: 15776.3 ms [2020-11-10 11:51:52 main:574] : INFO : Epoch 125 | loss: 0.000155156 | val_loss: 0.000153263 | Time: 15892.5 ms [2020-11-10 11:52:08 main:574] : INFO : Epoch 126 | loss: 0.000150072 | val_loss: 0.000150023 | Time: 15805.9 ms [2020-11-10 11:52:24 main:574] : INFO : Epoch 127 | loss: 0.00014461 | val_loss: 0.000144327 | Time: 15825 ms [2020-11-10 11:52:40 main:574] : INFO : Epoch 128 | loss: 0.000139512 | val_loss: 0.00013918 | Time: 15940.4 ms [2020-11-10 11:52:55 main:574] : INFO : Epoch 129 | loss: 0.000135171 | val_loss: 0.000134183 | Time: 15853.3 ms [2020-11-10 11:53:11 main:574] : INFO : Epoch 130 | loss: 0.000130487 | val_loss: 0.000132388 | Time: 15992.9 ms [2020-11-10 11:53:27 main:574] : INFO : Epoch 131 | loss: 0.000125702 | val_loss: 0.000124407 | Time: 15819.1 ms [2020-11-10 11:53:43 main:574] : INFO : Epoch 132 | loss: 0.000122281 | val_loss: 0.000120665 | Time: 15876.6 ms [2020-11-10 11:53:59 main:574] : INFO : Epoch 133 | loss: 0.000118017 | val_loss: 0.00011594 | Time: 15959.6 ms [2020-11-10 11:54:15 main:574] : INFO : Epoch 134 | loss: 0.000113907 | val_loss: 0.00011319 | Time: 15824 ms [2020-11-10 11:54:31 main:574] : INFO : Epoch 135 | loss: 0.000110971 | val_loss: 0.000110417 | Time: 15775.8 ms [2020-11-10 11:54:47 main:574] : INFO : Epoch 136 | loss: 0.000107465 | val_loss: 0.000105961 | Time: 15625.8 ms [2020-11-10 11:55:02 main:574] : INFO : Epoch 137 | loss: 0.000104112 | val_loss: 0.000103508 | Time: 15784.5 ms [2020-11-10 11:55:19 main:574] : INFO : Epoch 138 | loss: 0.000101088 | val_loss: 0.000101423 | Time: 16062.4 ms [2020-11-10 11:55:34 main:574] : INFO : Epoch 139 | loss: 9.78822e-05 | val_loss: 9.72467e-05 | Time: 15911.9 ms [2020-11-10 11:55:50 main:574] : INFO : Epoch 140 | loss: 9.542e-05 | val_loss: 9.49592e-05 | Time: 15963.3 ms [2020-11-10 11:56:06 main:574] : INFO : Epoch 141 | loss: 9.27124e-05 | val_loss: 9.44931e-05 | Time: 15928.8 ms [2020-11-10 11:56:22 main:574] : INFO : Epoch 142 | loss: 9.01845e-05 | val_loss: 8.93939e-05 | Time: 15940.3 ms [2020-11-10 11:56:38 main:574] : INFO : Epoch 143 | loss: 8.7814e-05 | val_loss: 8.77782e-05 | Time: 16001.4 ms [2020-11-10 11:56:55 main:574] : INFO : Epoch 144 | loss: 8.52031e-05 | val_loss: 8.43652e-05 | Time: 16105.7 ms [2020-11-10 11:57:10 main:574] : INFO : Epoch 145 | loss: 8.34804e-05 | val_loss: 8.21941e-05 | Time: 15844.9 ms [2020-11-10 11:57:27 main:574] : INFO : Epoch 146 | loss: 8.13383e-05 | val_loss: 8.11338e-05 | Time: 15993.4 ms [2020-11-10 11:57:42 main:574] : INFO : Epoch 147 | loss: 7.87194e-05 | val_loss: 7.95867e-05 | Time: 15846.5 ms [2020-11-10 11:57:58 main:574] : INFO : Epoch 148 | loss: 7.6888e-05 | val_loss: 7.63917e-05 | Time: 15896.7 ms [2020-11-10 11:58:14 main:574] : INFO : Epoch 149 | loss: 7.49837e-05 | val_loss: 7.46712e-05 | Time: 15896.8 ms [2020-11-10 11:58:30 main:574] : INFO : Epoch 150 | loss: 7.30789e-05 | val_loss: 7.34401e-05 | Time: 15842.1 ms [2020-11-10 11:58:46 main:574] : INFO : Epoch 151 | loss: 7.18243e-05 | val_loss: 7.03414e-05 | Time: 15625.6 ms [2020-11-10 11:59:02 main:574] : INFO : Epoch 152 | loss: 6.96407e-05 | val_loss: 6.92718e-05 | Time: 15903.5 ms [2020-11-10 11:59:18 main:574] : INFO : Epoch 153 | loss: 6.85281e-05 | val_loss: 6.79201e-05 | Time: 15869.6 ms [2020-11-10 11:59:34 main:574] : INFO : Epoch 154 | loss: 6.67032e-05 | val_loss: 6.72438e-05 | Time: 15906.5 ms [2020-11-10 11:59:50 main:574] : INFO : Epoch 155 | loss: 6.53837e-05 | val_loss: 6.6546e-05 | Time: 15961.1 ms [2020-11-10 12:00:06 main:574] : INFO : Epoch 156 | loss: 6.40899e-05 | val_loss: 6.5682e-05 | Time: 15953.2 ms [2020-11-10 12:00:22 main:574] : INFO : Epoch 157 | loss: 6.21304e-05 | val_loss: 6.1685e-05 | Time: 16068.4 ms [2020-11-10 12:00:38 main:574] : INFO : Epoch 158 | loss: 6.12073e-05 | val_loss: 6.37024e-05 | Time: 15967.2 ms [2020-11-10 12:00:54 main:574] : INFO : Epoch 159 | loss: 6.01837e-05 | val_loss: 5.93148e-05 | Time: 16114.8 ms [2020-11-10 12:01:10 main:574] : INFO : Epoch 160 | loss: 5.83301e-05 | val_loss: 5.91673e-05 | Time: 15943.7 ms [2020-11-10 12:01:26 main:574] : INFO : Epoch 161 | loss: 5.7548e-05 | val_loss: 5.74862e-05 | Time: 15943.4 ms [2020-11-10 12:01:42 main:574] : INFO : Epoch 162 | loss: 5.62516e-05 | val_loss: 5.65786e-05 | Time: 15991 ms [2020-11-10 12:01:58 main:574] : INFO : Epoch 163 | loss: 5.52958e-05 | val_loss: 5.48854e-05 | Time: 15737.9 ms [2020-11-10 12:02:14 main:574] : INFO : Epoch 164 | loss: 5.39306e-05 | val_loss: 5.38904e-05 | Time: 15856.5 ms [2020-11-10 12:02:30 main:574] : INFO : Epoch 165 | loss: 5.31203e-05 | val_loss: 5.28122e-05 | Time: 15854.9 ms [2020-11-10 12:02:45 main:574] : INFO : Epoch 166 | loss: 5.209e-05 | val_loss: 5.18028e-05 | Time: 15559.7 ms [2020-11-10 12:03:01 main:574] : INFO : Epoch 167 | loss: 5.10911e-05 | val_loss: 5.0878e-05 | Time: 15873.5 ms [2020-11-10 12:03:17 main:574] : INFO : Epoch 168 | loss: 5.02011e-05 | val_loss: 5.09231e-05 | Time: 15813.6 ms [2020-11-10 12:03:33 main:574] : INFO : Epoch 169 | loss: 4.92549e-05 | val_loss: 4.96568e-05 | Time: 15906.4 ms [2020-11-10 12:03:49 main:574] : INFO : Epoch 170 | loss: 4.85728e-05 | val_loss: 4.87299e-05 | Time: 15960.5 ms [2020-11-10 12:04:05 main:574] : INFO : Epoch 171 | loss: 4.77428e-05 | val_loss: 4.69647e-05 | Time: 16089.3 ms [2020-11-10 12:04:21 main:574] : INFO : Epoch 172 | loss: 4.69513e-05 | val_loss: 4.65336e-05 | Time: 15893.4 ms [2020-11-10 12:04:37 main:574] : INFO : Epoch 173 | loss: 4.57538e-05 | val_loss: 4.58337e-05 | Time: 15991.5 ms [2020-11-10 12:04:53 main:574] : INFO : Epoch 174 | loss: 4.53903e-05 | val_loss: 4.57689e-05 | Time: 15931.5 ms [2020-11-10 12:05:09 main:574] : INFO : Epoch 175 | loss: 4.48585e-05 | val_loss: 4.43827e-05 | Time: 15934.7 ms [2020-11-10 12:05:25 main:574] : INFO : Epoch 176 | loss: 4.3841e-05 | val_loss: 4.50583e-05 | Time: 15976.2 ms [2020-11-10 12:05:41 main:574] : INFO : Epoch 177 | loss: 4.31904e-05 | val_loss: 4.30906e-05 | Time: 16036.1 ms [2020-11-10 12:05:57 main:574] : INFO : Epoch 178 | loss: 4.24234e-05 | val_loss: 4.34059e-05 | Time: 15928.9 ms [2020-11-10 12:06:13 main:574] : INFO : Epoch 179 | loss: 4.14836e-05 | val_loss: 4.11674e-05 | Time: 15956.3 ms [2020-11-10 12:06:29 main:574] : INFO : Epoch 180 | loss: 4.08503e-05 | val_loss: 4.12321e-05 | Time: 15943.8 ms [2020-11-10 12:06:45 main:574] : INFO : Epoch 181 | loss: 4.07795e-05 | val_loss: 4.05764e-05 | Time: 15777.2 ms [2020-11-10 12:07:01 main:574] : INFO : Epoch 182 | loss: 4.01944e-05 | val_loss: 4.02175e-05 | Time: 15868.5 ms [2020-11-10 12:07:16 main:574] : INFO : Epoch 183 | loss: 3.90827e-05 | val_loss: 4.06558e-05 | Time: 15678.6 ms [2020-11-10 12:07:32 main:574] : INFO : Epoch 184 | loss: 3.90972e-05 | val_loss: 3.87088e-05 | Time: 15918.6 ms [2020-11-10 12:07:48 main:574] : INFO : Epoch 185 | loss: 3.81782e-05 | val_loss: 3.78678e-05 | Time: 15825.8 ms [2020-11-10 12:08:04 main:574] : INFO : Epoch 186 | loss: 3.78599e-05 | val_loss: 3.75921e-05 | Time: 15934.1 ms [2020-11-10 12:08:20 main:574] : INFO : Epoch 187 | loss: 3.68008e-05 | val_loss: 3.67236e-05 | Time: 15896.2 ms [2020-11-10 12:08:36 main:574] : INFO : Epoch 188 | loss: 3.66111e-05 | val_loss: 3.7528e-05 | Time: 15856.8 ms [2020-11-10 12:08:52 main:574] : INFO : Epoch 189 | loss: 3.64333e-05 | val_loss: 3.63536e-05 | Time: 15897.1 ms [2020-11-10 12:09:08 main:574] : INFO : Epoch 190 | loss: 3.56632e-05 | val_loss: 3.7715e-05 | Time: 15807.6 ms [2020-11-10 12:09:24 main:574] : INFO : Epoch 191 | loss: 3.51671e-05 | val_loss: 3.68186e-05 | Time: 15914.8 ms [2020-11-10 12:09:40 main:574] : INFO : Epoch 192 | loss: 3.4761e-05 | val_loss: 3.54253e-05 | Time: 16059.8 ms [2020-11-10 12:09:40 main:597] : INFO : Saving trained model to model-final.pt, val_loss 3.54253e-05 [2020-11-10 12:09:40 main:603] : INFO : Saving end state to config to file [2020-11-10 12:09:40 main:608] : INFO : Success, exiting.. 12:09:40 (6228): 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)