Task 2807250
| Name | rand_automata_0003-1604984804-32286-0_2 |
| Workunit | 1264352 |
| Created | 10 Nov 2020, 6:19:44 UTC |
| Sent | 10 Nov 2020, 7:08:11 UTC |
| Report deadline | 11 Nov 2020, 5:38:11 UTC |
| Received | 11 Nov 2020, 0:29:25 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 563 |
| Run time | 27 min 52 sec |
| CPU time | 24 min 36 sec |
| Validate state | Valid |
| Credit | 959.40 |
| Device peak FLOPS | 5,442.60 GFLOPS |
| Application version | Machine Learning Dataset Generator (test) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 1.95 GB |
| Peak swap size | 3.88 GB |
| Peak disk usage | 1.54 GB |
Stderr output
<core_client_version>7.16.5</core_client_version> <![CDATA[ <stderr_txt> Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: GeForce GTX 1660 Ti) [2020-11-11 00:52:27 main:435] : INFO : Set logging level to 1 [2020-11-11 00:52:27 main:441] : INFO : Running in BOINC Client mode [2020-11-11 00:52:27 main:444] : INFO : Resolving all filenames [2020-11-11 00:52:27 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0003-train-val-dataset.hdf5 (exists = 1) [2020-11-11 00:52:27 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0003-1604984804-32286-0_2_r1129979561_1 (exists = 0) [2020-11-11 00:52:28 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0003-1604984804-32286-0_2_r1129979561_0 (exists = 0) [2020-11-11 00:52:28 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-11 00:52:28 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-11 00:52:28 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0003-train-val-dataset.hdf5 [2020-11-11 00:52:28 main:474] : INFO : Configuration: [2020-11-11 00:52:28 main:475] : INFO : Model type: LSTM [2020-11-11 00:52:28 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-11 00:52:29 main:477] : INFO : Max Epochs: 192 [2020-11-11 00:52:29 main:478] : INFO : Batch Size: 32 [2020-11-11 00:52:29 main:479] : INFO : Learning Rate: 0.001 [2020-11-11 00:52:29 main:480] : INFO : Patience: 10 [2020-11-11 00:52:29 main:481] : INFO : Hidden Width: 64 [2020-11-11 00:52:29 main:482] : INFO : # Recurrent Layers: 4 [2020-11-11 00:52:29 main:483] : INFO : # Backend Layers: 2 [2020-11-11 00:52:29 main:484] : INFO : # Threads: 1 [2020-11-11 00:52:29 main:486] : INFO : Preparing Dataset [2020-11-11 00:52:29 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0003-train-val-dataset.hdf5 into memory [2020-11-11 00:52:30 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0003-train-val-dataset.hdf5 into memory [2020-11-11 00:52:32 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-11 00:52:32 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0003-train-val-dataset.hdf5 into memory [2020-11-11 00:52:32 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0003-train-val-dataset.hdf5 into memory [2020-11-11 00:52:32 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-11 00:52:32 main:494] : INFO : Creating Model [2020-11-11 00:52:32 main:507] : INFO : Preparing config file [2020-11-11 00:52:32 main:519] : INFO : Creating new config file [2020-11-11 00:52:35 main:559] : INFO : Loading DataLoader into Memory [2020-11-11 00:52:44 main:562] : INFO : Starting Training [2020-11-11 00:52:52 main:574] : INFO : Epoch 1 | loss: 0.0658781 | val_loss: 0.0656139 | Time: 8786.57 ms [2020-11-11 00:53:01 main:574] : INFO : Epoch 2 | loss: 0.0638917 | val_loss: 0.0618894 | Time: 8868.56 ms [2020-11-11 00:53:10 main:574] : INFO : Epoch 3 | loss: 0.0601768 | val_loss: 0.0586161 | Time: 8159.94 ms [2020-11-11 00:53:18 main:574] : INFO : Epoch 4 | loss: 0.0573845 | val_loss: 0.0563752 | Time: 8302.75 ms [2020-11-11 00:53:26 main:574] : INFO : Epoch 5 | loss: 0.0555936 | val_loss: 0.0549794 | Time: 8279.36 ms [2020-11-11 00:53:35 main:574] : INFO : Epoch 6 | loss: 0.0542336 | val_loss: 0.0536698 | Time: 8543.26 ms [2020-11-11 00:53:43 main:574] : INFO : Epoch 7 | loss: 0.0530667 | val_loss: 0.0527048 | Time: 8376.74 ms [2020-11-11 00:53:52 main:574] : INFO : Epoch 8 | loss: 0.0520083 | val_loss: 0.0517624 | Time: 8120.59 ms [2020-11-11 00:54:00 main:574] : INFO : Epoch 9 | loss: 0.0509988 | val_loss: 0.0507468 | Time: 8601.44 ms [2020-11-11 00:54:09 main:574] : INFO : Epoch 10 | loss: 0.0499407 | val_loss: 0.0496752 | Time: 8183.34 ms [2020-11-11 00:54:17 main:574] : INFO : Epoch 11 | loss: 0.0488841 | val_loss: 0.0487 | Time: 8798.31 ms [2020-11-11 00:54:26 main:574] : INFO : Epoch 12 | loss: 0.0476798 | val_loss: 0.0477464 | Time: 8355.22 ms [2020-11-11 00:54:35 main:574] : INFO : Epoch 13 | loss: 0.0465147 | val_loss: 0.0463439 | Time: 8756.15 ms [2020-11-11 00:54:43 main:574] : INFO : Epoch 14 | loss: 0.0451156 | val_loss: 0.0451074 | Time: 7893.93 ms [2020-11-11 00:54:50 main:574] : INFO : Epoch 15 | loss: 0.0436247 | val_loss: 0.0436373 | Time: 7751.23 ms [2020-11-11 00:54:59 main:574] : INFO : Epoch 16 | loss: 0.041845 | val_loss: 0.0417389 | Time: 8360.04 ms [2020-11-11 00:55:07 main:574] : INFO : Epoch 17 | loss: 0.0397184 | val_loss: 0.0395693 | Time: 8236.57 ms [2020-11-11 00:55:16 main:574] : INFO : Epoch 18 | loss: 0.0371238 | val_loss: 0.036692 | Time: 8443.48 ms [2020-11-11 00:55:25 main:574] : INFO : Epoch 19 | loss: 0.033857 | val_loss: 0.0334149 | Time: 8095.27 ms [2020-11-11 00:55:33 main:574] : INFO : Epoch 20 | loss: 0.030243 | val_loss: 0.0319119 | Time: 8333.69 ms [2020-11-11 00:55:41 main:574] : INFO : Epoch 21 | loss: 0.0266524 | val_loss: 0.025676 | Time: 8260.87 ms [2020-11-11 00:55:50 main:574] : INFO : Epoch 22 | loss: 0.0237221 | val_loss: 0.0215877 | Time: 8297.79 ms [2020-11-11 00:55:59 main:574] : INFO : Epoch 23 | loss: 0.0215575 | val_loss: 0.0192892 | Time: 8550.44 ms [2020-11-11 00:56:07 main:574] : INFO : Epoch 24 | loss: 0.0203958 | val_loss: 0.0177262 | Time: 7926.9 ms [2020-11-11 00:56:15 main:574] : INFO : Epoch 25 | loss: 0.019344 | val_loss: 0.0237916 | Time: 7893.85 ms [2020-11-11 00:56:23 main:574] : INFO : Epoch 26 | loss: 0.0186543 | val_loss: 0.0145852 | Time: 8044.6 ms [2020-11-11 00:56:31 main:574] : INFO : Epoch 27 | loss: 0.0118422 | val_loss: 0.0111423 | Time: 8014.55 ms [2020-11-11 00:56:40 main:574] : INFO : Epoch 28 | loss: 0.011575 | val_loss: 0.0137786 | Time: 8830.47 ms [2020-11-11 00:56:48 main:574] : INFO : Epoch 29 | loss: 0.0135861 | val_loss: 0.0106071 | Time: 8484.12 ms [2020-11-11 00:56:57 main:574] : INFO : Epoch 30 | loss: 0.0106062 | val_loss: 0.0100112 | Time: 7989.09 ms [2020-11-11 00:57:05 main:574] : INFO : Epoch 31 | loss: 0.00910855 | val_loss: 0.00922363 | Time: 8112.16 ms [2020-11-11 00:57:13 main:574] : INFO : Epoch 32 | loss: 0.00842445 | val_loss: 0.00840142 | Time: 7844.94 ms [2020-11-11 00:57:21 main:574] : INFO : Epoch 33 | loss: 0.00809903 | val_loss: 0.00817753 | Time: 8379.74 ms [2020-11-11 00:57:29 main:574] : INFO : Epoch 34 | loss: 0.00769011 | val_loss: 0.00779595 | Time: 7757.9 ms [2020-11-11 00:57:37 main:574] : INFO : Epoch 35 | loss: 0.00742583 | val_loss: 0.00758527 | Time: 8070.46 ms [2020-11-11 00:57:46 main:574] : INFO : Epoch 36 | loss: 0.00713761 | val_loss: 0.00717893 | Time: 8469.75 ms [2020-11-11 00:57:54 main:574] : INFO : Epoch 37 | loss: 0.00725445 | val_loss: 0.00724619 | Time: 8371.67 ms [2020-11-11 00:58:03 main:574] : INFO : Epoch 38 | loss: 0.00674379 | val_loss: 0.00672894 | Time: 8282.46 ms [2020-11-11 00:58:11 main:574] : INFO : Epoch 39 | loss: 0.00642693 | val_loss: 0.00643901 | Time: 8632.05 ms [2020-11-11 00:58:20 main:574] : INFO : Epoch 40 | loss: 0.0061961 | val_loss: 0.00623294 | Time: 8211.93 ms [2020-11-11 00:58:28 main:574] : INFO : Epoch 41 | loss: 0.00597618 | val_loss: 0.00600873 | Time: 8455.46 ms [2020-11-11 00:58:37 main:574] : INFO : Epoch 42 | loss: 0.00576538 | val_loss: 0.00576245 | Time: 8364.93 ms [2020-11-11 00:58:45 main:574] : INFO : Epoch 43 | loss: 0.00556109 | val_loss: 0.0055438 | Time: 8111.12 ms [2020-11-11 00:58:54 main:574] : INFO : Epoch 44 | loss: 0.00536249 | val_loss: 0.00533272 | Time: 8860.88 ms [2020-11-11 00:59:02 main:574] : INFO : Epoch 45 | loss: 0.0051675 | val_loss: 0.00513723 | Time: 8349.85 ms [2020-11-11 00:59:11 main:574] : INFO : Epoch 46 | loss: 0.00497724 | val_loss: 0.00494297 | Time: 8140.94 ms [2020-11-11 00:59:19 main:574] : INFO : Epoch 47 | loss: 0.00479251 | val_loss: 0.00475378 | Time: 8695.34 ms [2020-11-11 00:59:28 main:574] : INFO : Epoch 48 | loss: 0.00461228 | val_loss: 0.00457352 | Time: 8185.18 ms [2020-11-11 00:59:36 main:574] : INFO : Epoch 49 | loss: 0.00443633 | val_loss: 0.00439891 | Time: 8416.57 ms [2020-11-11 00:59:45 main:574] : INFO : Epoch 50 | loss: 0.00426619 | val_loss: 0.00422242 | Time: 8434.78 ms [2020-11-11 00:59:53 main:574] : INFO : Epoch 51 | loss: 0.0041007 | val_loss: 0.00406034 | Time: 8369.16 ms [2020-11-11 01:00:01 main:574] : INFO : Epoch 52 | loss: 0.00393862 | val_loss: 0.00389229 | Time: 8234.47 ms [2020-11-11 01:00:10 main:574] : INFO : Epoch 53 | loss: 0.00378367 | val_loss: 0.00373377 | Time: 8454.59 ms [2020-11-11 01:00:19 main:574] : INFO : Epoch 54 | loss: 0.00363061 | val_loss: 0.00358743 | Time: 8465.33 ms [2020-11-11 01:00:27 main:574] : INFO : Epoch 55 | loss: 0.00348485 | val_loss: 0.00343595 | Time: 8524.95 ms [2020-11-11 01:00:35 main:574] : INFO : Epoch 56 | loss: 0.00334399 | val_loss: 0.00329504 | Time: 8057.34 ms [2020-11-11 01:00:44 main:574] : INFO : Epoch 57 | loss: 0.00320639 | val_loss: 0.00315985 | Time: 8595.73 ms [2020-11-11 01:00:53 main:574] : INFO : Epoch 58 | loss: 0.00307507 | val_loss: 0.00302946 | Time: 8515.1 ms [2020-11-11 01:01:01 main:574] : INFO : Epoch 59 | loss: 0.00294714 | val_loss: 0.00290348 | Time: 7969.11 ms [2020-11-11 01:01:09 main:574] : INFO : Epoch 60 | loss: 0.00282493 | val_loss: 0.00278063 | Time: 8387.93 ms [2020-11-11 01:01:18 main:574] : INFO : Epoch 61 | loss: 0.00270675 | val_loss: 0.00266482 | Time: 8401.4 ms [2020-11-11 01:01:27 main:574] : INFO : Epoch 62 | loss: 0.00259214 | val_loss: 0.0025512 | Time: 8681.2 ms [2020-11-11 01:01:35 main:574] : INFO : Epoch 63 | loss: 0.00248291 | val_loss: 0.00244256 | Time: 8201.95 ms [2020-11-11 01:01:44 main:574] : INFO : Epoch 64 | loss: 0.00237672 | val_loss: 0.00233578 | Time: 8386.14 ms [2020-11-11 01:01:52 main:574] : INFO : Epoch 65 | loss: 0.00227422 | val_loss: 0.00223459 | Time: 8183.97 ms [2020-11-11 01:02:01 main:574] : INFO : Epoch 66 | loss: 0.00217589 | val_loss: 0.00213636 | Time: 8784.91 ms [2020-11-11 01:02:09 main:574] : INFO : Epoch 67 | loss: 0.00208001 | val_loss: 0.00204549 | Time: 8022.76 ms [2020-11-11 01:02:17 main:574] : INFO : Epoch 68 | loss: 0.00198789 | val_loss: 0.0019511 | Time: 8375.09 ms [2020-11-11 01:02:26 main:574] : INFO : Epoch 69 | loss: 0.00190108 | val_loss: 0.00186559 | Time: 8259.63 ms [2020-11-11 01:02:34 main:574] : INFO : Epoch 70 | loss: 0.0018206 | val_loss: 0.00178597 | Time: 8256.53 ms [2020-11-11 01:02:43 main:574] : INFO : Epoch 71 | loss: 0.00174183 | val_loss: 0.00171082 | Time: 8427.48 ms [2020-11-11 01:02:52 main:574] : INFO : Epoch 72 | loss: 0.00166742 | val_loss: 0.00163639 | Time: 9210.95 ms [2020-11-11 01:03:00 main:574] : INFO : Epoch 73 | loss: 0.00159639 | val_loss: 0.00156658 | Time: 8550.36 ms [2020-11-11 01:03:09 main:574] : INFO : Epoch 74 | loss: 0.00152862 | val_loss: 0.0014987 | Time: 8123.46 ms [2020-11-11 01:03:17 main:574] : INFO : Epoch 75 | loss: 0.00146295 | val_loss: 0.00143469 | Time: 8792.43 ms [2020-11-11 01:03:26 main:574] : INFO : Epoch 76 | loss: 0.00140159 | val_loss: 0.0013825 | Time: 8214.11 ms [2020-11-11 01:03:34 main:574] : INFO : Epoch 77 | loss: 0.00134292 | val_loss: 0.00131928 | Time: 8457.39 ms [2020-11-11 01:03:43 main:574] : INFO : Epoch 78 | loss: 0.00128737 | val_loss: 0.00126581 | Time: 8463.85 ms [2020-11-11 01:03:51 main:574] : INFO : Epoch 79 | loss: 0.00123383 | val_loss: 0.00121043 | Time: 8228.6 ms [2020-11-11 01:04:00 main:574] : INFO : Epoch 80 | loss: 0.00118251 | val_loss: 0.00116275 | Time: 8510.84 ms [2020-11-11 01:04:09 main:574] : INFO : Epoch 81 | loss: 0.00113363 | val_loss: 0.00111434 | Time: 8692.11 ms [2020-11-11 01:04:17 main:574] : INFO : Epoch 82 | loss: 0.00108704 | val_loss: 0.00107069 | Time: 8286.11 ms [2020-11-11 01:04:25 main:574] : INFO : Epoch 83 | loss: 0.00104243 | val_loss: 0.00102403 | Time: 8324.6 ms [2020-11-11 01:04:34 main:574] : INFO : Epoch 84 | loss: 0.00100052 | val_loss: 0.000986577 | Time: 8383.96 ms [2020-11-11 01:04:43 main:574] : INFO : Epoch 85 | loss: 0.000961159 | val_loss: 0.000942489 | Time: 8499.45 ms [2020-11-11 01:04:51 main:574] : INFO : Epoch 86 | loss: 0.000922214 | val_loss: 0.000909848 | Time: 8236.47 ms [2020-11-11 01:04:59 main:574] : INFO : Epoch 87 | loss: 0.000886441 | val_loss: 0.000873269 | Time: 8356.69 ms [2020-11-11 01:05:09 main:574] : INFO : Epoch 88 | loss: 0.000852456 | val_loss: 0.000843113 | Time: 9454.82 ms [2020-11-11 01:05:18 main:574] : INFO : Epoch 89 | loss: 0.00081943 | val_loss: 0.000807529 | Time: 8658.04 ms [2020-11-11 01:05:26 main:574] : INFO : Epoch 90 | loss: 0.000787643 | val_loss: 0.000777336 | Time: 8432.85 ms [2020-11-11 01:05:34 main:574] : INFO : Epoch 91 | loss: 0.000758345 | val_loss: 0.00074624 | Time: 8150.68 ms [2020-11-11 01:05:43 main:574] : INFO : Epoch 92 | loss: 0.000731573 | val_loss: 0.000718597 | Time: 8581.04 ms [2020-11-11 01:05:51 main:574] : INFO : Epoch 93 | loss: 0.000704184 | val_loss: 0.000697281 | Time: 8263.43 ms [2020-11-11 01:06:00 main:574] : INFO : Epoch 94 | loss: 0.000679645 | val_loss: 0.000673823 | Time: 8427.01 ms [2020-11-11 01:06:08 main:574] : INFO : Epoch 95 | loss: 0.000654785 | val_loss: 0.00064838 | Time: 7962.12 ms [2020-11-11 01:06:17 main:574] : INFO : Epoch 96 | loss: 0.00063289 | val_loss: 0.000624722 | Time: 8541.72 ms [2020-11-11 01:06:25 main:574] : INFO : Epoch 97 | loss: 0.000610891 | val_loss: 0.000603103 | Time: 8125.64 ms [2020-11-11 01:06:33 main:574] : INFO : Epoch 98 | loss: 0.000589463 | val_loss: 0.000587834 | Time: 8221.64 ms [2020-11-11 01:06:41 main:574] : INFO : Epoch 99 | loss: 0.000570318 | val_loss: 0.000561785 | Time: 8280.17 ms [2020-11-11 01:06:50 main:574] : INFO : Epoch 100 | loss: 0.000549577 | val_loss: 0.000542409 | Time: 8337.54 ms [2020-11-11 01:06:58 main:574] : INFO : Epoch 101 | loss: 0.000531824 | val_loss: 0.000528182 | Time: 8085.13 ms [2020-11-11 01:07:07 main:574] : INFO : Epoch 102 | loss: 0.000515855 | val_loss: 0.000511181 | Time: 8569.11 ms [2020-11-11 01:07:15 main:574] : INFO : Epoch 103 | loss: 0.000497762 | val_loss: 0.000492317 | Time: 8115.23 ms [2020-11-11 01:07:23 main:574] : INFO : Epoch 104 | loss: 0.000482688 | val_loss: 0.000477412 | Time: 8358.44 ms [2020-11-11 01:07:32 main:574] : INFO : Epoch 105 | loss: 0.000468355 | val_loss: 0.000464014 | Time: 8652.31 ms [2020-11-11 01:07:40 main:574] : INFO : Epoch 106 | loss: 0.000453722 | val_loss: 0.000448912 | Time: 8458.28 ms [2020-11-11 01:07:49 main:574] : INFO : Epoch 107 | loss: 0.000439472 | val_loss: 0.000434916 | Time: 8379.39 ms [2020-11-11 01:07:57 main:574] : INFO : Epoch 108 | loss: 0.000425907 | val_loss: 0.00042469 | Time: 8485.84 ms [2020-11-11 01:08:06 main:574] : INFO : Epoch 109 | loss: 0.000414052 | val_loss: 0.000412032 | Time: 8738.03 ms [2020-11-11 01:08:15 main:574] : INFO : Epoch 110 | loss: 0.000401876 | val_loss: 0.000401728 | Time: 8238.86 ms [2020-11-11 01:08:23 main:574] : INFO : Epoch 111 | loss: 0.000391219 | val_loss: 0.000388463 | Time: 8375.17 ms [2020-11-11 01:08:32 main:574] : INFO : Epoch 112 | loss: 0.000380572 | val_loss: 0.000378916 | Time: 9030.4 ms [2020-11-11 01:08:41 main:574] : INFO : Epoch 113 | loss: 0.000369967 | val_loss: 0.000370558 | Time: 8598.27 ms [2020-11-11 01:08:49 main:574] : INFO : Epoch 114 | loss: 0.000359706 | val_loss: 0.000358441 | Time: 8405.65 ms [2020-11-11 01:08:57 main:574] : INFO : Epoch 115 | loss: 0.000351219 | val_loss: 0.000348758 | Time: 8072.49 ms [2020-11-11 01:09:06 main:574] : INFO : Epoch 116 | loss: 0.000341258 | val_loss: 0.000338981 | Time: 8124.61 ms [2020-11-11 01:09:14 main:574] : INFO : Epoch 117 | loss: 0.000332517 | val_loss: 0.000332544 | Time: 8735.77 ms [2020-11-11 01:09:23 main:574] : INFO : Epoch 118 | loss: 0.000324616 | val_loss: 0.00032549 | Time: 8134.78 ms [2020-11-11 01:09:31 main:574] : INFO : Epoch 119 | loss: 0.000316256 | val_loss: 0.000314491 | Time: 8816.14 ms [2020-11-11 01:09:40 main:574] : INFO : Epoch 120 | loss: 0.000307899 | val_loss: 0.000309794 | Time: 8471.88 ms [2020-11-11 01:09:49 main:574] : INFO : Epoch 121 | loss: 0.000300753 | val_loss: 0.000299699 | Time: 8623.45 ms [2020-11-11 01:09:57 main:574] : INFO : Epoch 122 | loss: 0.000293153 | val_loss: 0.00029281 | Time: 8044.82 ms [2020-11-11 01:10:06 main:574] : INFO : Epoch 123 | loss: 0.000286394 | val_loss: 0.000287808 | Time: 9190.17 ms [2020-11-11 01:10:15 main:574] : INFO : Epoch 124 | loss: 0.000279499 | val_loss: 0.000280001 | Time: 8791.61 ms [2020-11-11 01:10:23 main:574] : INFO : Epoch 125 | loss: 0.000273806 | val_loss: 0.000272975 | Time: 8015.68 ms [2020-11-11 01:10:32 main:574] : INFO : Epoch 126 | loss: 0.000267597 | val_loss: 0.00027173 | Time: 8414.44 ms [2020-11-11 01:10:40 main:574] : INFO : Epoch 127 | loss: 0.00026275 | val_loss: 0.000263835 | Time: 8488.76 ms [2020-11-11 01:10:49 main:574] : INFO : Epoch 128 | loss: 0.000255971 | val_loss: 0.0002585 | Time: 8564.13 ms [2020-11-11 01:10:57 main:574] : INFO : Epoch 129 | loss: 0.000251074 | val_loss: 0.000251642 | Time: 8557.88 ms [2020-11-11 01:11:06 main:574] : INFO : Epoch 130 | loss: 0.000245659 | val_loss: 0.00024726 | Time: 8777.19 ms [2020-11-11 01:11:15 main:574] : INFO : Epoch 131 | loss: 0.000240524 | val_loss: 0.000243535 | Time: 8597.22 ms [2020-11-11 01:11:23 main:574] : INFO : Epoch 132 | loss: 0.000236131 | val_loss: 0.000238247 | Time: 8549.62 ms [2020-11-11 01:11:32 main:574] : INFO : Epoch 133 | loss: 0.000231876 | val_loss: 0.000233369 | Time: 8474.37 ms [2020-11-11 01:11:41 main:574] : INFO : Epoch 134 | loss: 0.000226219 | val_loss: 0.000227301 | Time: 8636.06 ms [2020-11-11 01:11:49 main:574] : INFO : Epoch 135 | loss: 0.000221819 | val_loss: 0.000224947 | Time: 8438.48 ms [2020-11-11 01:11:58 main:574] : INFO : Epoch 136 | loss: 0.000218312 | val_loss: 0.000219449 | Time: 8315.76 ms [2020-11-11 01:12:06 main:574] : INFO : Epoch 137 | loss: 0.000213697 | val_loss: 0.00021844 | Time: 8361.45 ms [2020-11-11 01:12:15 main:574] : INFO : Epoch 138 | loss: 0.000210443 | val_loss: 0.000213634 | Time: 8910.82 ms [2020-11-11 01:12:24 main:574] : INFO : Epoch 139 | loss: 0.000206675 | val_loss: 0.000211616 | Time: 8823.88 ms [2020-11-11 01:12:33 main:574] : INFO : Epoch 140 | loss: 0.000203096 | val_loss: 0.00020424 | Time: 8600.62 ms [2020-11-11 01:12:41 main:574] : INFO : Epoch 141 | loss: 0.000199307 | val_loss: 0.000201387 | Time: 8245.31 ms [2020-11-11 01:12:49 main:574] : INFO : Epoch 142 | loss: 0.000196136 | val_loss: 0.000200553 | Time: 8161.47 ms [2020-11-11 01:12:57 main:574] : INFO : Epoch 143 | loss: 0.000192008 | val_loss: 0.000199511 | Time: 8182.34 ms [2020-11-11 01:13:06 main:574] : INFO : Epoch 144 | loss: 0.000190042 | val_loss: 0.000194941 | Time: 8383.44 ms [2020-11-11 01:13:14 main:574] : INFO : Epoch 145 | loss: 0.000187074 | val_loss: 0.000188776 | Time: 8316.37 ms [2020-11-11 01:13:23 main:574] : INFO : Epoch 146 | loss: 0.000183981 | val_loss: 0.00019058 | Time: 8319.51 ms [2020-11-11 01:13:31 main:574] : INFO : Epoch 147 | loss: 0.000181774 | val_loss: 0.000186004 | Time: 8574.95 ms [2020-11-11 01:13:40 main:574] : INFO : Epoch 148 | loss: 0.000178018 | val_loss: 0.000178778 | Time: 8673.21 ms [2020-11-11 01:13:48 main:574] : INFO : Epoch 149 | loss: 0.000174349 | val_loss: 0.000178952 | Time: 8044.58 ms [2020-11-11 01:13:57 main:574] : INFO : Epoch 150 | loss: 0.000172565 | val_loss: 0.000174985 | Time: 8674.63 ms [2020-11-11 01:14:07 main:574] : INFO : Epoch 151 | loss: 0.000169987 | val_loss: 0.000170539 | Time: 9556.06 ms [2020-11-11 01:14:16 main:574] : INFO : Epoch 152 | loss: 0.000167239 | val_loss: 0.000169094 | Time: 8469.13 ms [2020-11-11 01:14:24 main:574] : INFO : Epoch 153 | loss: 0.000164484 | val_loss: 0.000167402 | Time: 8714.36 ms [2020-11-11 01:14:33 main:574] : INFO : Epoch 154 | loss: 0.000162861 | val_loss: 0.000165761 | Time: 8768.02 ms [2020-11-11 01:14:42 main:574] : INFO : Epoch 155 | loss: 0.000160529 | val_loss: 0.000163394 | Time: 8561.25 ms [2020-11-11 01:14:50 main:574] : INFO : Epoch 156 | loss: 0.000157469 | val_loss: 0.000161912 | Time: 8226.99 ms [2020-11-11 01:14:58 main:574] : INFO : Epoch 157 | loss: 0.000155466 | val_loss: 0.000158436 | Time: 8267.44 ms [2020-11-11 01:15:07 main:574] : INFO : Epoch 158 | loss: 0.000153759 | val_loss: 0.000157711 | Time: 8361.54 ms [2020-11-11 01:15:15 main:574] : INFO : Epoch 159 | loss: 0.000152033 | val_loss: 0.000154099 | Time: 8470.4 ms [2020-11-11 01:15:24 main:574] : INFO : Epoch 160 | loss: 0.000149643 | val_loss: 0.000154697 | Time: 8444.34 ms [2020-11-11 01:15:33 main:574] : INFO : Epoch 161 | loss: 0.000148626 | val_loss: 0.000154287 | Time: 8873.91 ms [2020-11-11 01:15:41 main:574] : INFO : Epoch 162 | loss: 0.000146117 | val_loss: 0.000150772 | Time: 8378.23 ms [2020-11-11 01:15:50 main:574] : INFO : Epoch 163 | loss: 0.000143511 | val_loss: 0.000148528 | Time: 8664.85 ms [2020-11-11 01:15:59 main:574] : INFO : Epoch 164 | loss: 0.000142249 | val_loss: 0.000145948 | Time: 8467.91 ms [2020-11-11 01:16:08 main:574] : INFO : Epoch 165 | loss: 0.000141 | val_loss: 0.000143393 | Time: 8827.74 ms [2020-11-11 01:16:16 main:574] : INFO : Epoch 166 | loss: 0.000138506 | val_loss: 0.000142202 | Time: 8727.99 ms [2020-11-11 01:16:25 main:574] : INFO : Epoch 167 | loss: 0.000137371 | val_loss: 0.000139562 | Time: 8551.6 ms [2020-11-11 01:16:34 main:574] : INFO : Epoch 168 | loss: 0.000134802 | val_loss: 0.000136335 | Time: 8576.55 ms [2020-11-11 01:16:42 main:574] : INFO : Epoch 169 | loss: 0.000133134 | val_loss: 0.000136481 | Time: 8138.35 ms [2020-11-11 01:16:51 main:574] : INFO : Epoch 170 | loss: 0.000131805 | val_loss: 0.000134786 | Time: 8462.46 ms [2020-11-11 01:16:59 main:574] : INFO : Epoch 171 | loss: 0.000130381 | val_loss: 0.000135346 | Time: 8108.67 ms [2020-11-11 01:17:08 main:574] : INFO : Epoch 172 | loss: 0.000128711 | val_loss: 0.000133412 | Time: 8734.85 ms [2020-11-11 01:17:17 main:574] : INFO : Epoch 173 | loss: 0.000127555 | val_loss: 0.00013054 | Time: 8909.01 ms [2020-11-11 01:17:26 main:574] : INFO : Epoch 174 | loss: 0.000125649 | val_loss: 0.000130314 | Time: 8854 ms [2020-11-11 01:17:34 main:574] : INFO : Epoch 175 | loss: 0.000124793 | val_loss: 0.000130672 | Time: 8456.17 ms [2020-11-11 01:17:43 main:574] : INFO : Epoch 176 | loss: 0.000123143 | val_loss: 0.000125778 | Time: 8676.73 ms [2020-11-11 01:17:51 main:574] : INFO : Epoch 177 | loss: 0.000121827 | val_loss: 0.000126007 | Time: 8434.42 ms [2020-11-11 01:18:00 main:574] : INFO : Epoch 178 | loss: 0.00012013 | val_loss: 0.00012331 | Time: 8728.09 ms [2020-11-11 01:18:08 main:574] : INFO : Epoch 179 | loss: 0.000118971 | val_loss: 0.000121539 | Time: 7895.22 ms [2020-11-11 01:18:17 main:574] : INFO : Epoch 180 | loss: 0.000117626 | val_loss: 0.00012167 | Time: 8643.69 ms [2020-11-11 01:18:26 main:574] : INFO : Epoch 181 | loss: 0.000116705 | val_loss: 0.000120523 | Time: 8653.71 ms [2020-11-11 01:18:34 main:574] : INFO : Epoch 182 | loss: 0.000115356 | val_loss: 0.000117235 | Time: 8297.24 ms [2020-11-11 01:18:42 main:574] : INFO : Epoch 183 | loss: 0.000114418 | val_loss: 0.000118021 | Time: 8087.99 ms [2020-11-11 01:18:51 main:574] : INFO : Epoch 184 | loss: 0.000112775 | val_loss: 0.000115636 | Time: 8608.49 ms [2020-11-11 01:19:00 main:574] : INFO : Epoch 185 | loss: 0.000111851 | val_loss: 0.000115 | Time: 8703.35 ms [2020-11-11 01:19:08 main:574] : INFO : Epoch 186 | loss: 0.000110219 | val_loss: 0.000113012 | Time: 8625.32 ms [2020-11-11 01:19:17 main:574] : INFO : Epoch 187 | loss: 0.000109727 | val_loss: 0.000114204 | Time: 8620.06 ms [2020-11-11 01:19:26 main:574] : INFO : Epoch 188 | loss: 0.000108707 | val_loss: 0.000111349 | Time: 8473.35 ms [2020-11-11 01:19:34 main:574] : INFO : Epoch 189 | loss: 0.000108989 | val_loss: 0.000111157 | Time: 8545.2 ms [2020-11-11 01:19:43 main:574] : INFO : Epoch 190 | loss: 0.0001062 | val_loss: 0.000110674 | Time: 8414.32 ms [2020-11-11 01:19:51 main:574] : INFO : Epoch 191 | loss: 0.000104763 | val_loss: 0.000106916 | Time: 8436 ms [2020-11-11 01:20:00 main:574] : INFO : Epoch 192 | loss: 0.000104403 | val_loss: 0.000108644 | Time: 8672.64 ms [2020-11-11 01:20:00 main:597] : INFO : Saving trained model to model-final.pt, val_loss 0.000108644 [2020-11-11 01:20:00 main:603] : INFO : Saving end state to config to file [2020-11-11 01:20:00 main:608] : INFO : Success, exiting.. 01:20:00 (10832): 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)