Task 2795845
| Name | rand_automata_0053-1604947873-32382-0_1 |
| Workunit | 1259627 |
| 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, 12:01:40 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 596 |
| Run time | 51 min 34 sec |
| CPU time | 50 min 1 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 |
Stderr output
<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 12:09:57 main:435] : INFO : Set logging level to 1 [2020-11-10 12:09:57 main:441] : INFO : Running in BOINC Client mode [2020-11-10 12:09:57 main:444] : INFO : Resolving all filenames [2020-11-10 12:09:57 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0053-train-val-dataset.hdf5 (exists = 1) [2020-11-10 12:09:57 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0053-1604947873-32382-0_1_r891174264_1 (exists = 0) [2020-11-10 12:09:57 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0053-1604947873-32382-0_1_r891174264_0 (exists = 0) [2020-11-10 12:09:57 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-10 12:09:57 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-10 12:09:57 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0053-train-val-dataset.hdf5 [2020-11-10 12:09:57 main:474] : INFO : Configuration: [2020-11-10 12:09:57 main:475] : INFO : Model type: LSTM [2020-11-10 12:09:57 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-10 12:09:57 main:477] : INFO : Max Epochs: 192 [2020-11-10 12:09:57 main:478] : INFO : Batch Size: 32 [2020-11-10 12:09:57 main:479] : INFO : Learning Rate: 0.001 [2020-11-10 12:09:57 main:480] : INFO : Patience: 10 [2020-11-10 12:09:57 main:481] : INFO : Hidden Width: 64 [2020-11-10 12:09:57 main:482] : INFO : # Recurrent Layers: 4 [2020-11-10 12:09:57 main:483] : INFO : # Backend Layers: 2 [2020-11-10 12:09:57 main:484] : INFO : # Threads: 1 [2020-11-10 12:09:57 main:486] : INFO : Preparing Dataset [2020-11-10 12:09:57 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0053-train-val-dataset.hdf5 into memory [2020-11-10 12:09:58 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0053-train-val-dataset.hdf5 into memory [2020-11-10 12:10:04 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-10 12:10:04 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0053-train-val-dataset.hdf5 into memory [2020-11-10 12:10:04 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0053-train-val-dataset.hdf5 into memory [2020-11-10 12:10:04 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-10 12:10:05 main:494] : INFO : Creating Model [2020-11-10 12:10:05 main:507] : INFO : Preparing config file [2020-11-10 12:10:05 main:519] : INFO : Creating new config file [2020-11-10 12:10:10 main:559] : INFO : Loading DataLoader into Memory [2020-11-10 12:10:10 main:562] : INFO : Starting Training [2020-11-10 12:10:27 main:574] : INFO : Epoch 1 | loss: 0.0664428 | val_loss: 0.0660127 | Time: 17057.9 ms [2020-11-10 12:10:43 main:574] : INFO : Epoch 2 | loss: 0.0659538 | val_loss: 0.064979 | Time: 15751.8 ms [2020-11-10 12:10:59 main:574] : INFO : Epoch 3 | loss: 0.0637621 | val_loss: 0.0626129 | Time: 15840.7 ms [2020-11-10 12:11:14 main:574] : INFO : Epoch 4 | loss: 0.0609599 | val_loss: 0.0593796 | Time: 15804.7 ms [2020-11-10 12:11:30 main:574] : INFO : Epoch 5 | loss: 0.0579907 | val_loss: 0.0567311 | Time: 15956.4 ms [2020-11-10 12:11:46 main:574] : INFO : Epoch 6 | loss: 0.0557698 | val_loss: 0.0549697 | Time: 15854.2 ms [2020-11-10 12:12:02 main:574] : INFO : Epoch 7 | loss: 0.0541984 | val_loss: 0.0535872 | Time: 16074 ms [2020-11-10 12:12:19 main:574] : INFO : Epoch 8 | loss: 0.052798 | val_loss: 0.0521924 | Time: 16153.7 ms [2020-11-10 12:12:35 main:574] : INFO : Epoch 9 | loss: 0.0514829 | val_loss: 0.050714 | Time: 15942.3 ms [2020-11-10 12:12:51 main:574] : INFO : Epoch 10 | loss: 0.0500063 | val_loss: 0.0493837 | Time: 15957.3 ms [2020-11-10 12:13:07 main:574] : INFO : Epoch 11 | loss: 0.0484572 | val_loss: 0.0479189 | Time: 16037.8 ms [2020-11-10 12:13:23 main:574] : INFO : Epoch 12 | loss: 0.0468309 | val_loss: 0.0460334 | Time: 15927.7 ms [2020-11-10 12:13:39 main:574] : INFO : Epoch 13 | loss: 0.0449542 | val_loss: 0.0443542 | Time: 15925.7 ms [2020-11-10 12:13:55 main:574] : INFO : Epoch 14 | loss: 0.042946 | val_loss: 0.0418969 | Time: 15974.4 ms [2020-11-10 12:14:10 main:574] : INFO : Epoch 15 | loss: 0.0405353 | val_loss: 0.0399642 | Time: 15775.8 ms [2020-11-10 12:14:27 main:574] : INFO : Epoch 16 | loss: 0.0379774 | val_loss: 0.036876 | Time: 16058.1 ms [2020-11-10 12:14:42 main:574] : INFO : Epoch 17 | loss: 0.0349447 | val_loss: 0.0347959 | Time: 15877.4 ms [2020-11-10 12:14:58 main:574] : INFO : Epoch 18 | loss: 0.0317988 | val_loss: 0.0319041 | Time: 15706.6 ms [2020-11-10 12:15:14 main:574] : INFO : Epoch 19 | loss: 0.0303459 | val_loss: 0.0285367 | Time: 15859 ms [2020-11-10 12:15:30 main:574] : INFO : Epoch 20 | loss: 0.0262139 | val_loss: 0.0276802 | Time: 16001.8 ms [2020-11-10 12:15:46 main:574] : INFO : Epoch 21 | loss: 0.0245123 | val_loss: 0.052018 | Time: 16028.2 ms [2020-11-10 12:16:02 main:574] : INFO : Epoch 22 | loss: 0.0295801 | val_loss: 0.0216866 | Time: 15815.2 ms [2020-11-10 12:16:18 main:574] : INFO : Epoch 23 | loss: 0.021176 | val_loss: 0.0189771 | Time: 16046.9 ms [2020-11-10 12:16:34 main:574] : INFO : Epoch 24 | loss: 0.0190315 | val_loss: 0.0199446 | Time: 16008.8 ms [2020-11-10 12:16:50 main:574] : INFO : Epoch 25 | loss: 0.0155388 | val_loss: 0.0161775 | Time: 15983.8 ms [2020-11-10 12:17:06 main:574] : INFO : Epoch 26 | loss: 0.0131985 | val_loss: 0.0127835 | Time: 15970.2 ms [2020-11-10 12:17:22 main:574] : INFO : Epoch 27 | loss: 0.0106836 | val_loss: 0.0107016 | Time: 15904.8 ms [2020-11-10 12:17:38 main:574] : INFO : Epoch 28 | loss: 0.010292 | val_loss: 0.0100561 | Time: 15993.8 ms [2020-11-10 12:17:54 main:574] : INFO : Epoch 29 | loss: 0.0096639 | val_loss: 0.0107968 | Time: 15915.9 ms [2020-11-10 12:18:10 main:574] : INFO : Epoch 30 | loss: 0.00903264 | val_loss: 0.00945284 | Time: 15918.5 ms [2020-11-10 12:18:26 main:574] : INFO : Epoch 31 | loss: 0.00842885 | val_loss: 0.00854801 | Time: 15904.8 ms [2020-11-10 12:18:42 main:574] : INFO : Epoch 32 | loss: 0.00794118 | val_loss: 0.00809187 | Time: 15875 ms [2020-11-10 12:18:58 main:574] : INFO : Epoch 33 | loss: 0.00756278 | val_loss: 0.00764132 | Time: 15598.6 ms [2020-11-10 12:19:14 main:574] : INFO : Epoch 34 | loss: 0.00725192 | val_loss: 0.0073369 | Time: 15868.5 ms [2020-11-10 12:19:30 main:574] : INFO : Epoch 35 | loss: 0.00695223 | val_loss: 0.00701698 | Time: 16163.8 ms [2020-11-10 12:19:46 main:574] : INFO : Epoch 36 | loss: 0.00666957 | val_loss: 0.00732326 | Time: 15942.9 ms [2020-11-10 12:20:02 main:574] : INFO : Epoch 37 | loss: 0.0064807 | val_loss: 0.00642304 | Time: 15726.6 ms [2020-11-10 12:20:18 main:574] : INFO : Epoch 38 | loss: 0.00613121 | val_loss: 0.00613923 | Time: 16031.7 ms [2020-11-10 12:20:34 main:574] : INFO : Epoch 39 | loss: 0.0058778 | val_loss: 0.00587684 | Time: 15931.4 ms [2020-11-10 12:20:50 main:574] : INFO : Epoch 40 | loss: 0.00562902 | val_loss: 0.00561863 | Time: 15993.2 ms [2020-11-10 12:21:06 main:574] : INFO : Epoch 41 | loss: 0.00539581 | val_loss: 0.00539193 | Time: 16078.3 ms [2020-11-10 12:21:22 main:574] : INFO : Epoch 42 | loss: 0.00516979 | val_loss: 0.00512774 | Time: 16035 ms [2020-11-10 12:21:38 main:574] : INFO : Epoch 43 | loss: 0.0049524 | val_loss: 0.00491442 | Time: 15996.3 ms [2020-11-10 12:21:54 main:574] : INFO : Epoch 44 | loss: 0.00474266 | val_loss: 0.00474487 | Time: 15919.1 ms [2020-11-10 12:22:10 main:574] : INFO : Epoch 45 | loss: 0.00454151 | val_loss: 0.00447841 | Time: 15921.1 ms [2020-11-10 12:22:26 main:574] : INFO : Epoch 46 | loss: 0.00433945 | val_loss: 0.00428078 | Time: 15837 ms [2020-11-10 12:22:42 main:574] : INFO : Epoch 47 | loss: 0.0041498 | val_loss: 0.0040921 | Time: 15863.8 ms [2020-11-10 12:22:57 main:574] : INFO : Epoch 48 | loss: 0.00396721 | val_loss: 0.00390962 | Time: 15727.1 ms [2020-11-10 12:23:13 main:574] : INFO : Epoch 49 | loss: 0.00379226 | val_loss: 0.00373302 | Time: 15676.6 ms [2020-11-10 12:23:29 main:574] : INFO : Epoch 50 | loss: 0.00362264 | val_loss: 0.00356659 | Time: 16047.9 ms [2020-11-10 12:23:45 main:574] : INFO : Epoch 51 | loss: 0.00345953 | val_loss: 0.00340544 | Time: 16053.7 ms [2020-11-10 12:24:01 main:574] : INFO : Epoch 52 | loss: 0.00330334 | val_loss: 0.00324878 | Time: 15936 ms [2020-11-10 12:24:17 main:574] : INFO : Epoch 53 | loss: 0.00315322 | val_loss: 0.00309943 | Time: 15976.7 ms [2020-11-10 12:24:33 main:574] : INFO : Epoch 54 | loss: 0.00300929 | val_loss: 0.00295528 | Time: 15946.9 ms [2020-11-10 12:24:49 main:574] : INFO : Epoch 55 | loss: 0.00287266 | val_loss: 0.002823 | Time: 15885.5 ms [2020-11-10 12:25:05 main:574] : INFO : Epoch 56 | loss: 0.0027391 | val_loss: 0.00269097 | Time: 15899.1 ms [2020-11-10 12:25:21 main:574] : INFO : Epoch 57 | loss: 0.00261374 | val_loss: 0.00256838 | Time: 16002.4 ms [2020-11-10 12:25:37 main:574] : INFO : Epoch 58 | loss: 0.00249256 | val_loss: 0.00244887 | Time: 16029.2 ms [2020-11-10 12:25:53 main:574] : INFO : Epoch 59 | loss: 0.00237708 | val_loss: 0.00233601 | Time: 15984.9 ms [2020-11-10 12:26:09 main:574] : INFO : Epoch 60 | loss: 0.00226654 | val_loss: 0.0022233 | Time: 15980.7 ms [2020-11-10 12:26:25 main:574] : INFO : Epoch 61 | loss: 0.00216157 | val_loss: 0.00212343 | Time: 15880.1 ms [2020-11-10 12:26:41 main:574] : INFO : Epoch 62 | loss: 0.00206007 | val_loss: 0.00202122 | Time: 15755.4 ms [2020-11-10 12:26:57 main:574] : INFO : Epoch 63 | loss: 0.00196422 | val_loss: 0.00192477 | Time: 15875 ms [2020-11-10 12:27:13 main:574] : INFO : Epoch 64 | loss: 0.00187232 | val_loss: 0.00183766 | Time: 15711.1 ms [2020-11-10 12:27:29 main:574] : INFO : Epoch 65 | loss: 0.00178286 | val_loss: 0.00174805 | Time: 15844.8 ms [2020-11-10 12:27:45 main:574] : INFO : Epoch 66 | loss: 0.00169903 | val_loss: 0.00166477 | Time: 16044.5 ms [2020-11-10 12:28:01 main:574] : INFO : Epoch 67 | loss: 0.00161884 | val_loss: 0.00159367 | Time: 15900 ms [2020-11-10 12:28:17 main:574] : INFO : Epoch 68 | loss: 0.00154181 | val_loss: 0.00151339 | Time: 15877.8 ms [2020-11-10 12:28:33 main:574] : INFO : Epoch 69 | loss: 0.0014698 | val_loss: 0.0014449 | Time: 16001.6 ms [2020-11-10 12:28:49 main:574] : INFO : Epoch 70 | loss: 0.0014015 | val_loss: 0.00137823 | Time: 15984.3 ms [2020-11-10 12:29:05 main:574] : INFO : Epoch 71 | loss: 0.00133661 | val_loss: 0.00131411 | Time: 15968.3 ms [2020-11-10 12:29:21 main:574] : INFO : Epoch 72 | loss: 0.00127535 | val_loss: 0.00125471 | Time: 16042.2 ms [2020-11-10 12:29:37 main:574] : INFO : Epoch 73 | loss: 0.00121699 | val_loss: 0.00119633 | Time: 16051.1 ms [2020-11-10 12:29:53 main:574] : INFO : Epoch 74 | loss: 0.00116226 | val_loss: 0.00114078 | Time: 15885.5 ms [2020-11-10 12:30:09 main:574] : INFO : Epoch 75 | loss: 0.00111024 | val_loss: 0.00109329 | Time: 15969.8 ms [2020-11-10 12:30:25 main:574] : INFO : Epoch 76 | loss: 0.00106014 | val_loss: 0.00103929 | Time: 15792.6 ms [2020-11-10 12:30:41 main:574] : INFO : Epoch 77 | loss: 0.00101283 | val_loss: 0.00099852 | Time: 15918.4 ms [2020-11-10 12:30:57 main:574] : INFO : Epoch 78 | loss: 0.000968749 | val_loss: 0.000952819 | Time: 15970.4 ms [2020-11-10 12:31:12 main:574] : INFO : Epoch 79 | loss: 0.000926294 | val_loss: 0.000910308 | Time: 15625.6 ms [2020-11-10 12:31:28 main:574] : INFO : Epoch 80 | loss: 0.000886975 | val_loss: 0.000872701 | Time: 15907.8 ms [2020-11-10 12:31:44 main:574] : INFO : Epoch 81 | loss: 0.000847615 | val_loss: 0.000832552 | Time: 15911 ms [2020-11-10 12:32:00 main:574] : INFO : Epoch 82 | loss: 0.000812156 | val_loss: 0.000798666 | Time: 15843.1 ms [2020-11-10 12:32:16 main:574] : INFO : Epoch 83 | loss: 0.000778154 | val_loss: 0.000764404 | Time: 16016.2 ms [2020-11-10 12:32:32 main:574] : INFO : Epoch 84 | loss: 0.000744846 | val_loss: 0.000731668 | Time: 16053.4 ms [2020-11-10 12:32:48 main:574] : INFO : Epoch 85 | loss: 0.00071448 | val_loss: 0.00070021 | Time: 15924.5 ms [2020-11-10 12:33:04 main:574] : INFO : Epoch 86 | loss: 0.000684806 | val_loss: 0.000672318 | Time: 15812.7 ms [2020-11-10 12:33:20 main:574] : INFO : Epoch 87 | loss: 0.000657036 | val_loss: 0.000645747 | Time: 15881.3 ms [2020-11-10 12:33:36 main:574] : INFO : Epoch 88 | loss: 0.000630168 | val_loss: 0.000620976 | Time: 16025.8 ms [2020-11-10 12:33:52 main:574] : INFO : Epoch 89 | loss: 0.000604944 | val_loss: 0.00059535 | Time: 15794.3 ms [2020-11-10 12:34:08 main:574] : INFO : Epoch 90 | loss: 0.00058223 | val_loss: 0.000570426 | Time: 16179.7 ms [2020-11-10 12:34:24 main:574] : INFO : Epoch 91 | loss: 0.000559194 | val_loss: 0.000550448 | Time: 15966.9 ms [2020-11-10 12:34:40 main:574] : INFO : Epoch 92 | loss: 0.000538292 | val_loss: 0.000530549 | Time: 16005.8 ms [2020-11-10 12:34:56 main:574] : INFO : Epoch 93 | loss: 0.000518613 | val_loss: 0.000510003 | Time: 15774.9 ms [2020-11-10 12:35:12 main:574] : INFO : Epoch 94 | loss: 0.000498929 | val_loss: 0.000491192 | Time: 15874.4 ms [2020-11-10 12:35:28 main:574] : INFO : Epoch 95 | loss: 0.000480799 | val_loss: 0.000476751 | Time: 15730.4 ms [2020-11-10 12:35:44 main:574] : INFO : Epoch 96 | loss: 0.000463332 | val_loss: 0.000456945 | Time: 15865.4 ms [2020-11-10 12:35:59 main:574] : INFO : Epoch 97 | loss: 0.00044795 | val_loss: 0.000443468 | Time: 15699.1 ms [2020-11-10 12:36:15 main:574] : INFO : Epoch 98 | loss: 0.000433182 | val_loss: 0.000424286 | Time: 15985.7 ms [2020-11-10 12:36:31 main:574] : INFO : Epoch 99 | loss: 0.00041779 | val_loss: 0.000410918 | Time: 15907.5 ms [2020-11-10 12:36:47 main:574] : INFO : Epoch 100 | loss: 0.000403197 | val_loss: 0.000399124 | Time: 15936 ms [2020-11-10 12:37:03 main:574] : INFO : Epoch 101 | loss: 0.000389961 | val_loss: 0.000383033 | Time: 16039.3 ms [2020-11-10 12:37:19 main:574] : INFO : Epoch 102 | loss: 0.000376637 | val_loss: 0.000369246 | Time: 15900 ms [2020-11-10 12:37:35 main:574] : INFO : Epoch 103 | loss: 0.000364074 | val_loss: 0.000357861 | Time: 15975.4 ms [2020-11-10 12:37:52 main:574] : INFO : Epoch 104 | loss: 0.000353284 | val_loss: 0.000346484 | Time: 15973.6 ms [2020-11-10 12:38:08 main:574] : INFO : Epoch 105 | loss: 0.000342564 | val_loss: 0.000344688 | Time: 15983.5 ms [2020-11-10 12:38:24 main:574] : INFO : Epoch 106 | loss: 0.000331841 | val_loss: 0.000325557 | Time: 15916.9 ms [2020-11-10 12:38:39 main:574] : INFO : Epoch 107 | loss: 0.000320858 | val_loss: 0.00031631 | Time: 15843.7 ms [2020-11-10 12:38:55 main:574] : INFO : Epoch 108 | loss: 0.000312044 | val_loss: 0.000305815 | Time: 15840.9 ms [2020-11-10 12:39:11 main:574] : INFO : Epoch 109 | loss: 0.000302692 | val_loss: 0.000297241 | Time: 15798.3 ms [2020-11-10 12:39:27 main:574] : INFO : Epoch 110 | loss: 0.000293095 | val_loss: 0.000289427 | Time: 15777.4 ms [2020-11-10 12:39:43 main:574] : INFO : Epoch 111 | loss: 0.000284398 | val_loss: 0.000280553 | Time: 15929.1 ms [2020-11-10 12:39:59 main:574] : INFO : Epoch 112 | loss: 0.000276461 | val_loss: 0.000273618 | Time: 15962.3 ms [2020-11-10 12:40:15 main:574] : INFO : Epoch 113 | loss: 0.000269565 | val_loss: 0.000265606 | Time: 15907.7 ms [2020-11-10 12:40:31 main:574] : INFO : Epoch 114 | loss: 0.000261644 | val_loss: 0.000259478 | Time: 15817.3 ms [2020-11-10 12:40:47 main:574] : INFO : Epoch 115 | loss: 0.00025453 | val_loss: 0.000251123 | Time: 15907.4 ms [2020-11-10 12:41:03 main:574] : INFO : Epoch 116 | loss: 0.000247448 | val_loss: 0.000246774 | Time: 16036.2 ms [2020-11-10 12:41:19 main:574] : INFO : Epoch 117 | loss: 0.000241814 | val_loss: 0.000237085 | Time: 16037.4 ms [2020-11-10 12:41:35 main:574] : INFO : Epoch 118 | loss: 0.000235159 | val_loss: 0.000231461 | Time: 15914 ms [2020-11-10 12:41:51 main:574] : INFO : Epoch 119 | loss: 0.000228476 | val_loss: 0.000229345 | Time: 16006.2 ms [2020-11-10 12:42:07 main:574] : INFO : Epoch 120 | loss: 0.000223803 | val_loss: 0.000220939 | Time: 16121.5 ms [2020-11-10 12:42:23 main:574] : INFO : Epoch 121 | loss: 0.000217811 | val_loss: 0.000216617 | Time: 16037.8 ms [2020-11-10 12:42:39 main:574] : INFO : Epoch 122 | loss: 0.000212307 | val_loss: 0.000211719 | Time: 15903.2 ms [2020-11-10 12:42:55 main:574] : INFO : Epoch 123 | loss: 0.000208123 | val_loss: 0.000207723 | Time: 15877.7 ms [2020-11-10 12:43:11 main:574] : INFO : Epoch 124 | loss: 0.000202552 | val_loss: 0.000202793 | Time: 15922.4 ms [2020-11-10 12:43:27 main:574] : INFO : Epoch 125 | loss: 0.000198821 | val_loss: 0.00019886 | Time: 15724.6 ms [2020-11-10 12:43:43 main:574] : INFO : Epoch 126 | loss: 0.000194467 | val_loss: 0.000195652 | Time: 15864.4 ms [2020-11-10 12:43:59 main:574] : INFO : Epoch 127 | loss: 0.000188983 | val_loss: 0.000188345 | Time: 16065.6 ms [2020-11-10 12:44:15 main:574] : INFO : Epoch 128 | loss: 0.000184864 | val_loss: 0.000183468 | Time: 16275.1 ms [2020-11-10 12:44:31 main:574] : INFO : Epoch 129 | loss: 0.000181081 | val_loss: 0.000183514 | Time: 15970 ms [2020-11-10 12:44:47 main:574] : INFO : Epoch 130 | loss: 0.000177484 | val_loss: 0.000176094 | Time: 16194.5 ms [2020-11-10 12:45:03 main:574] : INFO : Epoch 131 | loss: 0.00017384 | val_loss: 0.000173255 | Time: 16068.5 ms [2020-11-10 12:45:19 main:574] : INFO : Epoch 132 | loss: 0.000170132 | val_loss: 0.000170103 | Time: 15961.6 ms [2020-11-10 12:45:36 main:574] : INFO : Epoch 133 | loss: 0.000166061 | val_loss: 0.000166638 | Time: 16230.4 ms [2020-11-10 12:45:52 main:574] : INFO : Epoch 134 | loss: 0.0001632 | val_loss: 0.000161661 | Time: 16296.3 ms [2020-11-10 12:46:08 main:574] : INFO : Epoch 135 | loss: 0.000160316 | val_loss: 0.000162039 | Time: 16035.2 ms [2020-11-10 12:46:24 main:574] : INFO : Epoch 136 | loss: 0.000157152 | val_loss: 0.000157775 | Time: 16085.9 ms [2020-11-10 12:46:40 main:574] : INFO : Epoch 137 | loss: 0.000153664 | val_loss: 0.000153892 | Time: 16094.5 ms [2020-11-10 12:46:57 main:574] : INFO : Epoch 138 | loss: 0.000151162 | val_loss: 0.000152091 | Time: 16223.9 ms [2020-11-10 12:47:13 main:574] : INFO : Epoch 139 | loss: 0.000148227 | val_loss: 0.000148858 | Time: 15942.1 ms [2020-11-10 12:47:29 main:574] : INFO : Epoch 140 | loss: 0.000145232 | val_loss: 0.000148476 | Time: 15756.2 ms [2020-11-10 12:47:45 main:574] : INFO : Epoch 141 | loss: 0.000142527 | val_loss: 0.00014222 | Time: 15981 ms [2020-11-10 12:48:01 main:574] : INFO : Epoch 142 | loss: 0.000140277 | val_loss: 0.000140914 | Time: 16038.8 ms [2020-11-10 12:48:17 main:574] : INFO : Epoch 143 | loss: 0.000138213 | val_loss: 0.00013997 | Time: 15868.2 ms [2020-11-10 12:48:32 main:574] : INFO : Epoch 144 | loss: 0.00013562 | val_loss: 0.000135416 | Time: 15925 ms [2020-11-10 12:48:49 main:574] : INFO : Epoch 145 | loss: 0.000133347 | val_loss: 0.000135997 | Time: 15982.3 ms [2020-11-10 12:49:05 main:574] : INFO : Epoch 146 | loss: 0.00013097 | val_loss: 0.000133399 | Time: 16119.7 ms [2020-11-10 12:49:21 main:574] : INFO : Epoch 147 | loss: 0.000129006 | val_loss: 0.000130165 | Time: 16024.5 ms [2020-11-10 12:49:37 main:574] : INFO : Epoch 148 | loss: 0.000126938 | val_loss: 0.000127172 | Time: 16047.1 ms [2020-11-10 12:49:53 main:574] : INFO : Epoch 149 | loss: 0.000125381 | val_loss: 0.000126656 | Time: 16033.3 ms [2020-11-10 12:50:09 main:574] : INFO : Epoch 150 | loss: 0.000122534 | val_loss: 0.000123678 | Time: 15955.6 ms [2020-11-10 12:50:25 main:574] : INFO : Epoch 151 | loss: 0.000120586 | val_loss: 0.000122144 | Time: 16021.6 ms [2020-11-10 12:50:41 main:574] : INFO : Epoch 152 | loss: 0.000118223 | val_loss: 0.000118715 | Time: 15930 ms [2020-11-10 12:50:57 main:574] : INFO : Epoch 153 | loss: 0.000117169 | val_loss: 0.00011993 | Time: 15843.7 ms [2020-11-10 12:51:13 main:574] : INFO : Epoch 154 | loss: 0.000115683 | val_loss: 0.000119086 | Time: 15685.1 ms [2020-11-10 12:51:28 main:574] : INFO : Epoch 155 | loss: 0.00011408 | val_loss: 0.000114328 | Time: 15858.1 ms [2020-11-10 12:51:44 main:574] : INFO : Epoch 156 | loss: 0.000112024 | val_loss: 0.000116008 | Time: 15844.9 ms [2020-11-10 12:52:01 main:574] : INFO : Epoch 157 | loss: 0.000110448 | val_loss: 0.000112673 | Time: 16127 ms [2020-11-10 12:52:16 main:574] : INFO : Epoch 158 | loss: 0.000108763 | val_loss: 0.000109674 | Time: 15881 ms [2020-11-10 12:52:32 main:574] : INFO : Epoch 159 | loss: 0.000107508 | val_loss: 0.000110849 | Time: 15784.5 ms [2020-11-10 12:52:48 main:574] : INFO : Epoch 160 | loss: 0.000106137 | val_loss: 0.00010749 | Time: 15983.1 ms [2020-11-10 12:53:04 main:574] : INFO : Epoch 161 | loss: 0.000104814 | val_loss: 0.000104671 | Time: 15991.2 ms [2020-11-10 12:53:20 main:574] : INFO : Epoch 162 | loss: 0.000102992 | val_loss: 0.000104168 | Time: 16070 ms [2020-11-10 12:53:36 main:574] : INFO : Epoch 163 | loss: 0.000101599 | val_loss: 0.000104883 | Time: 15967.2 ms [2020-11-10 12:53:53 main:574] : INFO : Epoch 164 | loss: 0.000100416 | val_loss: 0.000100903 | Time: 15977.6 ms [2020-11-10 12:54:09 main:574] : INFO : Epoch 165 | loss: 9.89395e-05 | val_loss: 0.000100995 | Time: 16001.5 ms [2020-11-10 12:54:25 main:574] : INFO : Epoch 166 | loss: 9.81132e-05 | val_loss: 0.000101347 | Time: 16099.2 ms [2020-11-10 12:54:41 main:574] : INFO : Epoch 167 | loss: 9.66608e-05 | val_loss: 9.9923e-05 | Time: 16007.8 ms [2020-11-10 12:54:57 main:574] : INFO : Epoch 168 | loss: 9.65514e-05 | val_loss: 9.91507e-05 | Time: 16053.5 ms [2020-11-10 12:55:13 main:574] : INFO : Epoch 169 | loss: 9.42118e-05 | val_loss: 9.74383e-05 | Time: 15632.2 ms [2020-11-10 12:55:28 main:574] : INFO : Epoch 170 | loss: 9.31692e-05 | val_loss: 9.51515e-05 | Time: 15888.8 ms [2020-11-10 12:55:44 main:574] : INFO : Epoch 171 | loss: 9.18019e-05 | val_loss: 9.29384e-05 | Time: 15756.8 ms [2020-11-10 12:56:00 main:574] : INFO : Epoch 172 | loss: 9.12138e-05 | val_loss: 9.1566e-05 | Time: 15956.1 ms [2020-11-10 12:56:16 main:574] : INFO : Epoch 173 | loss: 8.99153e-05 | val_loss: 9.12089e-05 | Time: 16165.6 ms [2020-11-10 12:56:32 main:574] : INFO : Epoch 174 | loss: 8.849e-05 | val_loss: 8.94639e-05 | Time: 15978.8 ms [2020-11-10 12:56:49 main:574] : INFO : Epoch 175 | loss: 8.80952e-05 | val_loss: 8.89188e-05 | Time: 15983.1 ms [2020-11-10 12:57:05 main:574] : INFO : Epoch 176 | loss: 8.69709e-05 | val_loss: 8.80879e-05 | Time: 15988.3 ms [2020-11-10 12:57:21 main:574] : INFO : Epoch 177 | loss: 8.53512e-05 | val_loss: 8.58886e-05 | Time: 15932.1 ms [2020-11-10 12:57:36 main:574] : INFO : Epoch 178 | loss: 8.45293e-05 | val_loss: 8.67872e-05 | Time: 15863.5 ms [2020-11-10 12:57:53 main:574] : INFO : Epoch 179 | loss: 8.35998e-05 | val_loss: 8.55642e-05 | Time: 16164.9 ms [2020-11-10 12:58:09 main:574] : INFO : Epoch 180 | loss: 8.29026e-05 | val_loss: 8.31945e-05 | Time: 16188 ms [2020-11-10 12:58:25 main:574] : INFO : Epoch 181 | loss: 8.1061e-05 | val_loss: 8.29877e-05 | Time: 16166.8 ms [2020-11-10 12:58:41 main:574] : INFO : Epoch 182 | loss: 8.08453e-05 | val_loss: 8.16448e-05 | Time: 15984.7 ms [2020-11-10 12:58:57 main:574] : INFO : Epoch 183 | loss: 8.06173e-05 | val_loss: 8.28093e-05 | Time: 15989 ms [2020-11-10 12:59:13 main:574] : INFO : Epoch 184 | loss: 7.94605e-05 | val_loss: 7.99157e-05 | Time: 15786.3 ms [2020-11-10 12:59:29 main:574] : INFO : Epoch 185 | loss: 7.89096e-05 | val_loss: 8.09097e-05 | Time: 15802.5 ms [2020-11-10 12:59:45 main:574] : INFO : Epoch 186 | loss: 7.80024e-05 | val_loss: 7.81503e-05 | Time: 15801.3 ms [2020-11-10 13:00:01 main:574] : INFO : Epoch 187 | loss: 7.69385e-05 | val_loss: 7.83931e-05 | Time: 15964.4 ms [2020-11-10 13:00:17 main:574] : INFO : Epoch 188 | loss: 7.64114e-05 | val_loss: 7.9515e-05 | Time: 16159.3 ms [2020-11-10 13:00:33 main:574] : INFO : Epoch 189 | loss: 7.49018e-05 | val_loss: 7.65605e-05 | Time: 16094.9 ms [2020-11-10 13:00:49 main:574] : INFO : Epoch 190 | loss: 7.43689e-05 | val_loss: 7.60935e-05 | Time: 15939.9 ms [2020-11-10 13:01:05 main:574] : INFO : Epoch 191 | loss: 7.40218e-05 | val_loss: 7.45497e-05 | Time: 16120.2 ms [2020-11-10 13:01:21 main:574] : INFO : Epoch 192 | loss: 7.31708e-05 | val_loss: 7.71716e-05 | Time: 16056.6 ms [2020-11-10 13:01:21 main:597] : INFO : Saving trained model to model-final.pt, val_loss 7.71716e-05 [2020-11-10 13:01:21 main:603] : INFO : Saving end state to config to file [2020-11-10 13:01:21 main:608] : INFO : Success, exiting.. 13:01:21 (3220): 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)