Task 2795789
| Name | rand_automata_0058-1604947483-21663-0_1 |
| Workunit | 1259375 |
| 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, 9:27:05 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 596 |
| Run time | 51 min 9 sec |
| CPU time | 49 min 45 sec |
| Validate state | Valid |
| Credit | 959.40 |
| Device peak FLOPS | 7,315.00 GFLOPS |
| Application version | Machine Learning Dataset Generator (test) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 1.98 GB |
| Peak swap size | 3.93 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 09:35:46 main:435] : INFO : Set logging level to 1 [2020-11-10 09:35:46 main:441] : INFO : Running in BOINC Client mode [2020-11-10 09:35:46 main:444] : INFO : Resolving all filenames [2020-11-10 09:35:46 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0058-train-val-dataset.hdf5 (exists = 1) [2020-11-10 09:35:46 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0058-1604947483-21663-0_1_r974272921_1 (exists = 0) [2020-11-10 09:35:46 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0058-1604947483-21663-0_1_r974272921_0 (exists = 0) [2020-11-10 09:35:46 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-10 09:35:46 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-10 09:35:46 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0058-train-val-dataset.hdf5 [2020-11-10 09:35:46 main:474] : INFO : Configuration: [2020-11-10 09:35:46 main:475] : INFO : Model type: LSTM [2020-11-10 09:35:46 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-10 09:35:46 main:477] : INFO : Max Epochs: 192 [2020-11-10 09:35:46 main:478] : INFO : Batch Size: 32 [2020-11-10 09:35:46 main:479] : INFO : Learning Rate: 0.001 [2020-11-10 09:35:46 main:480] : INFO : Patience: 10 [2020-11-10 09:35:46 main:481] : INFO : Hidden Width: 64 [2020-11-10 09:35:46 main:482] : INFO : # Recurrent Layers: 4 [2020-11-10 09:35:46 main:483] : INFO : # Backend Layers: 2 [2020-11-10 09:35:46 main:484] : INFO : # Threads: 1 [2020-11-10 09:35:46 main:486] : INFO : Preparing Dataset [2020-11-10 09:35:46 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0058-train-val-dataset.hdf5 into memory [2020-11-10 09:35:46 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0058-train-val-dataset.hdf5 into memory [2020-11-10 09:35:53 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-10 09:35:53 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0058-train-val-dataset.hdf5 into memory [2020-11-10 09:35:53 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0058-train-val-dataset.hdf5 into memory [2020-11-10 09:35:53 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-10 09:35:53 main:494] : INFO : Creating Model [2020-11-10 09:35:53 main:507] : INFO : Preparing config file [2020-11-10 09:35:53 main:519] : INFO : Creating new config file [2020-11-10 09:35:58 main:559] : INFO : Loading DataLoader into Memory [2020-11-10 09:35:58 main:562] : INFO : Starting Training [2020-11-10 09:36:15 main:574] : INFO : Epoch 1 | loss: 0.0661749 | val_loss: 0.0659254 | Time: 16992 ms [2020-11-10 09:36:31 main:574] : INFO : Epoch 2 | loss: 0.0652385 | val_loss: 0.0636252 | Time: 15992 ms [2020-11-10 09:36:47 main:574] : INFO : Epoch 3 | loss: 0.0616516 | val_loss: 0.0594995 | Time: 15553 ms [2020-11-10 09:37:03 main:574] : INFO : Epoch 4 | loss: 0.0577787 | val_loss: 0.0561471 | Time: 15911 ms [2020-11-10 09:37:19 main:574] : INFO : Epoch 5 | loss: 0.0549437 | val_loss: 0.053949 | Time: 15710 ms [2020-11-10 09:37:34 main:574] : INFO : Epoch 6 | loss: 0.0529317 | val_loss: 0.0520992 | Time: 15616.5 ms [2020-11-10 09:37:50 main:574] : INFO : Epoch 7 | loss: 0.0510869 | val_loss: 0.0502527 | Time: 15835.7 ms [2020-11-10 09:38:06 main:574] : INFO : Epoch 8 | loss: 0.0491366 | val_loss: 0.0482562 | Time: 15954.1 ms [2020-11-10 09:38:22 main:574] : INFO : Epoch 9 | loss: 0.0470318 | val_loss: 0.0462647 | Time: 15877.3 ms [2020-11-10 09:38:38 main:574] : INFO : Epoch 10 | loss: 0.0446104 | val_loss: 0.0438171 | Time: 15808.6 ms [2020-11-10 09:38:54 main:574] : INFO : Epoch 11 | loss: 0.0417291 | val_loss: 0.0414028 | Time: 15809.7 ms [2020-11-10 09:39:10 main:574] : INFO : Epoch 12 | loss: 0.0387162 | val_loss: 0.0381603 | Time: 15801.6 ms [2020-11-10 09:39:26 main:574] : INFO : Epoch 13 | loss: 0.0352736 | val_loss: 0.0341039 | Time: 15936.9 ms [2020-11-10 09:39:41 main:574] : INFO : Epoch 14 | loss: 0.0314583 | val_loss: 0.0316907 | Time: 15846.6 ms [2020-11-10 09:39:57 main:574] : INFO : Epoch 15 | loss: 0.0284216 | val_loss: 0.0280008 | Time: 15807.5 ms [2020-11-10 09:40:13 main:574] : INFO : Epoch 16 | loss: 0.0255671 | val_loss: 0.0252783 | Time: 15824.3 ms [2020-11-10 09:40:29 main:574] : INFO : Epoch 17 | loss: 0.0215442 | val_loss: 0.0201207 | Time: 15914.7 ms [2020-11-10 09:40:45 main:574] : INFO : Epoch 18 | loss: 0.0193408 | val_loss: 0.0187274 | Time: 15696.1 ms [2020-11-10 09:41:01 main:574] : INFO : Epoch 19 | loss: 0.0198386 | val_loss: 0.0161138 | Time: 15657.1 ms [2020-11-10 09:41:16 main:574] : INFO : Epoch 20 | loss: 0.0159357 | val_loss: 0.0132292 | Time: 15838.1 ms [2020-11-10 09:41:32 main:574] : INFO : Epoch 21 | loss: 0.0122121 | val_loss: 0.0123104 | Time: 15561.4 ms [2020-11-10 09:41:48 main:574] : INFO : Epoch 22 | loss: 0.010294 | val_loss: 0.0160525 | Time: 15782.7 ms [2020-11-10 09:42:04 main:574] : INFO : Epoch 23 | loss: 0.0107612 | val_loss: 0.00930627 | Time: 15788.9 ms [2020-11-10 09:42:20 main:574] : INFO : Epoch 24 | loss: 0.0112485 | val_loss: 0.0177634 | Time: 15792.7 ms [2020-11-10 09:42:35 main:574] : INFO : Epoch 25 | loss: 0.00968267 | val_loss: 0.00825477 | Time: 15876.6 ms [2020-11-10 09:42:51 main:574] : INFO : Epoch 26 | loss: 0.00782582 | val_loss: 0.00737661 | Time: 15883.2 ms [2020-11-10 09:43:07 main:574] : INFO : Epoch 27 | loss: 0.00684028 | val_loss: 0.00692513 | Time: 15731.5 ms [2020-11-10 09:43:23 main:574] : INFO : Epoch 28 | loss: 0.0064547 | val_loss: 0.00648901 | Time: 16056.9 ms [2020-11-10 09:43:39 main:574] : INFO : Epoch 29 | loss: 0.00610031 | val_loss: 0.00638301 | Time: 15871.6 ms [2020-11-10 09:43:55 main:574] : INFO : Epoch 30 | loss: 0.00732633 | val_loss: 0.00630644 | Time: 15878.8 ms [2020-11-10 09:44:11 main:574] : INFO : Epoch 31 | loss: 0.005696 | val_loss: 0.00581101 | Time: 15667.3 ms [2020-11-10 09:44:27 main:574] : INFO : Epoch 32 | loss: 0.00534183 | val_loss: 0.00544263 | Time: 15747.6 ms [2020-11-10 09:44:42 main:574] : INFO : Epoch 33 | loss: 0.00505935 | val_loss: 0.00512796 | Time: 15741.7 ms [2020-11-10 09:44:58 main:574] : INFO : Epoch 34 | loss: 0.00482003 | val_loss: 0.00486203 | Time: 15578.6 ms [2020-11-10 09:45:14 main:574] : INFO : Epoch 35 | loss: 0.00459496 | val_loss: 0.00463474 | Time: 16152.5 ms [2020-11-10 09:45:30 main:574] : INFO : Epoch 36 | loss: 0.00437698 | val_loss: 0.00440762 | Time: 15740 ms [2020-11-10 09:45:46 main:574] : INFO : Epoch 37 | loss: 0.00417232 | val_loss: 0.00421016 | Time: 15691 ms [2020-11-10 09:46:02 main:574] : INFO : Epoch 38 | loss: 0.00397345 | val_loss: 0.00399793 | Time: 15867.5 ms [2020-11-10 09:46:17 main:574] : INFO : Epoch 39 | loss: 0.00378242 | val_loss: 0.00379737 | Time: 15813.6 ms [2020-11-10 09:46:33 main:574] : INFO : Epoch 40 | loss: 0.00359868 | val_loss: 0.00360403 | Time: 15898.2 ms [2020-11-10 09:46:49 main:574] : INFO : Epoch 41 | loss: 0.00342143 | val_loss: 0.00342788 | Time: 15833.7 ms [2020-11-10 09:47:05 main:574] : INFO : Epoch 42 | loss: 0.00325184 | val_loss: 0.00324807 | Time: 15758.9 ms [2020-11-10 09:47:21 main:574] : INFO : Epoch 43 | loss: 0.00308729 | val_loss: 0.00308108 | Time: 15735.3 ms [2020-11-10 09:47:37 main:574] : INFO : Epoch 44 | loss: 0.00292974 | val_loss: 0.00291714 | Time: 15805.5 ms [2020-11-10 09:47:53 main:574] : INFO : Epoch 45 | loss: 0.00277791 | val_loss: 0.00275656 | Time: 15824.1 ms [2020-11-10 09:48:08 main:574] : INFO : Epoch 46 | loss: 0.00263261 | val_loss: 0.00260928 | Time: 15781.7 ms [2020-11-10 09:48:24 main:574] : INFO : Epoch 47 | loss: 0.00249314 | val_loss: 0.00246543 | Time: 15687.2 ms [2020-11-10 09:48:40 main:574] : INFO : Epoch 48 | loss: 0.00235942 | val_loss: 0.0023331 | Time: 15881.7 ms [2020-11-10 09:48:56 main:574] : INFO : Epoch 49 | loss: 0.00223203 | val_loss: 0.00220684 | Time: 15649.3 ms [2020-11-10 09:49:12 main:574] : INFO : Epoch 50 | loss: 0.00211066 | val_loss: 0.00208689 | Time: 15765.5 ms [2020-11-10 09:49:28 main:574] : INFO : Epoch 51 | loss: 0.00199507 | val_loss: 0.00197184 | Time: 15884.4 ms [2020-11-10 09:49:44 main:574] : INFO : Epoch 52 | loss: 0.00188356 | val_loss: 0.00186154 | Time: 15922.1 ms [2020-11-10 09:49:59 main:574] : INFO : Epoch 53 | loss: 0.00177862 | val_loss: 0.00175552 | Time: 15823.1 ms [2020-11-10 09:50:15 main:574] : INFO : Epoch 54 | loss: 0.00167812 | val_loss: 0.0016578 | Time: 15887.2 ms [2020-11-10 09:50:31 main:574] : INFO : Epoch 55 | loss: 0.00158352 | val_loss: 0.0015638 | Time: 15951.4 ms [2020-11-10 09:50:47 main:574] : INFO : Epoch 56 | loss: 0.00149372 | val_loss: 0.00147447 | Time: 15887.7 ms [2020-11-10 09:51:03 main:574] : INFO : Epoch 57 | loss: 0.00140887 | val_loss: 0.00138844 | Time: 15662.4 ms [2020-11-10 09:51:19 main:574] : INFO : Epoch 58 | loss: 0.00132871 | val_loss: 0.00131281 | Time: 15903 ms [2020-11-10 09:51:35 main:574] : INFO : Epoch 59 | loss: 0.00125355 | val_loss: 0.00123747 | Time: 15961.9 ms [2020-11-10 09:51:51 main:574] : INFO : Epoch 60 | loss: 0.00118141 | val_loss: 0.00116568 | Time: 15745.2 ms [2020-11-10 09:52:07 main:574] : INFO : Epoch 61 | loss: 0.00111337 | val_loss: 0.00109864 | Time: 15850.2 ms [2020-11-10 09:52:22 main:574] : INFO : Epoch 62 | loss: 0.00104959 | val_loss: 0.00103402 | Time: 15701.4 ms [2020-11-10 09:52:38 main:574] : INFO : Epoch 63 | loss: 0.000989168 | val_loss: 0.000978459 | Time: 15840.9 ms [2020-11-10 09:52:54 main:574] : INFO : Epoch 64 | loss: 0.00093172 | val_loss: 0.000919968 | Time: 15696.1 ms [2020-11-10 09:53:10 main:574] : INFO : Epoch 65 | loss: 0.000877605 | val_loss: 0.000865846 | Time: 15645 ms [2020-11-10 09:53:25 main:574] : INFO : Epoch 66 | loss: 0.000827028 | val_loss: 0.000816051 | Time: 15793.6 ms [2020-11-10 09:53:42 main:574] : INFO : Epoch 67 | loss: 0.000778752 | val_loss: 0.000769659 | Time: 15995.4 ms [2020-11-10 09:53:57 main:574] : INFO : Epoch 68 | loss: 0.000733663 | val_loss: 0.000723611 | Time: 15791.1 ms [2020-11-10 09:54:13 main:574] : INFO : Epoch 69 | loss: 0.000690539 | val_loss: 0.000681422 | Time: 15708.4 ms [2020-11-10 09:54:29 main:574] : INFO : Epoch 70 | loss: 0.000650139 | val_loss: 0.000643381 | Time: 15837.9 ms [2020-11-10 09:54:45 main:574] : INFO : Epoch 71 | loss: 0.000612116 | val_loss: 0.000604073 | Time: 15953.5 ms [2020-11-10 09:55:01 main:574] : INFO : Epoch 72 | loss: 0.00057637 | val_loss: 0.000571433 | Time: 15900.6 ms [2020-11-10 09:55:17 main:574] : INFO : Epoch 73 | loss: 0.000543002 | val_loss: 0.000536199 | Time: 15749.2 ms [2020-11-10 09:55:33 main:574] : INFO : Epoch 74 | loss: 0.000511609 | val_loss: 0.000505787 | Time: 15926.5 ms [2020-11-10 09:55:49 main:574] : INFO : Epoch 75 | loss: 0.000482196 | val_loss: 0.000475242 | Time: 15808.7 ms [2020-11-10 09:56:04 main:574] : INFO : Epoch 76 | loss: 0.000454373 | val_loss: 0.000448572 | Time: 15859.4 ms [2020-11-10 09:56:20 main:574] : INFO : Epoch 77 | loss: 0.000428318 | val_loss: 0.000424618 | Time: 15843.4 ms [2020-11-10 09:56:36 main:574] : INFO : Epoch 78 | loss: 0.000404042 | val_loss: 0.000400548 | Time: 15804.6 ms [2020-11-10 09:56:52 main:574] : INFO : Epoch 79 | loss: 0.00038113 | val_loss: 0.000376161 | Time: 15709.2 ms [2020-11-10 09:57:08 main:574] : INFO : Epoch 80 | loss: 0.000359254 | val_loss: 0.000356021 | Time: 15862.9 ms [2020-11-10 09:57:24 main:574] : INFO : Epoch 81 | loss: 0.000339181 | val_loss: 0.000336944 | Time: 15822.8 ms [2020-11-10 09:57:40 main:574] : INFO : Epoch 82 | loss: 0.000320229 | val_loss: 0.000318038 | Time: 15871 ms [2020-11-10 09:57:55 main:574] : INFO : Epoch 83 | loss: 0.000302546 | val_loss: 0.000299324 | Time: 15822.6 ms [2020-11-10 09:58:11 main:574] : INFO : Epoch 84 | loss: 0.000285927 | val_loss: 0.000283432 | Time: 15897.8 ms [2020-11-10 09:58:27 main:574] : INFO : Epoch 85 | loss: 0.000271226 | val_loss: 0.000270014 | Time: 15796 ms [2020-11-10 09:58:43 main:574] : INFO : Epoch 86 | loss: 0.000256236 | val_loss: 0.00025403 | Time: 15935.2 ms [2020-11-10 09:58:59 main:574] : INFO : Epoch 87 | loss: 0.000242182 | val_loss: 0.000241058 | Time: 16010.1 ms [2020-11-10 09:59:15 main:574] : INFO : Epoch 88 | loss: 0.00023034 | val_loss: 0.000227818 | Time: 15756.6 ms [2020-11-10 09:59:31 main:574] : INFO : Epoch 89 | loss: 0.000218029 | val_loss: 0.000215739 | Time: 15764.2 ms [2020-11-10 09:59:47 main:574] : INFO : Epoch 90 | loss: 0.000206833 | val_loss: 0.000206613 | Time: 15875 ms [2020-11-10 10:00:03 main:574] : INFO : Epoch 91 | loss: 0.000196346 | val_loss: 0.000195741 | Time: 15869.9 ms [2020-11-10 10:00:19 main:574] : INFO : Epoch 92 | loss: 0.000186944 | val_loss: 0.000185876 | Time: 16050.1 ms [2020-11-10 10:00:34 main:574] : INFO : Epoch 93 | loss: 0.000177293 | val_loss: 0.000177192 | Time: 15643.8 ms [2020-11-10 10:00:50 main:574] : INFO : Epoch 94 | loss: 0.000168682 | val_loss: 0.000168904 | Time: 15841.1 ms [2020-11-10 10:01:06 main:574] : INFO : Epoch 95 | loss: 0.0001604 | val_loss: 0.000160801 | Time: 15664.4 ms [2020-11-10 10:01:22 main:574] : INFO : Epoch 96 | loss: 0.000152991 | val_loss: 0.000153731 | Time: 15748 ms [2020-11-10 10:01:38 main:574] : INFO : Epoch 97 | loss: 0.000146349 | val_loss: 0.00014552 | Time: 15756.2 ms [2020-11-10 10:01:53 main:574] : INFO : Epoch 98 | loss: 0.000139962 | val_loss: 0.000138998 | Time: 15685.2 ms [2020-11-10 10:02:09 main:574] : INFO : Epoch 99 | loss: 0.000132955 | val_loss: 0.000132502 | Time: 15742.7 ms [2020-11-10 10:02:25 main:574] : INFO : Epoch 100 | loss: 0.000126906 | val_loss: 0.000127697 | Time: 15761.5 ms [2020-11-10 10:02:41 main:574] : INFO : Epoch 101 | loss: 0.00012149 | val_loss: 0.000121178 | Time: 15935.5 ms [2020-11-10 10:02:57 main:574] : INFO : Epoch 102 | loss: 0.00011611 | val_loss: 0.000114501 | Time: 15907.5 ms [2020-11-10 10:03:13 main:574] : INFO : Epoch 103 | loss: 0.000111176 | val_loss: 0.000112915 | Time: 15747.7 ms [2020-11-10 10:03:28 main:574] : INFO : Epoch 104 | loss: 0.000107089 | val_loss: 0.000107052 | Time: 15745 ms [2020-11-10 10:03:44 main:574] : INFO : Epoch 105 | loss: 0.000102447 | val_loss: 0.000102643 | Time: 15883.2 ms [2020-11-10 10:04:00 main:574] : INFO : Epoch 106 | loss: 9.85468e-05 | val_loss: 9.88473e-05 | Time: 15927.5 ms [2020-11-10 10:04:16 main:574] : INFO : Epoch 107 | loss: 9.43836e-05 | val_loss: 9.43519e-05 | Time: 15986.2 ms [2020-11-10 10:04:32 main:574] : INFO : Epoch 108 | loss: 9.03978e-05 | val_loss: 9.06731e-05 | Time: 15793.3 ms [2020-11-10 10:04:48 main:574] : INFO : Epoch 109 | loss: 8.70125e-05 | val_loss: 8.58461e-05 | Time: 15587.5 ms [2020-11-10 10:05:04 main:574] : INFO : Epoch 110 | loss: 8.33029e-05 | val_loss: 8.3484e-05 | Time: 15699.8 ms [2020-11-10 10:05:19 main:574] : INFO : Epoch 111 | loss: 8.07183e-05 | val_loss: 8.13626e-05 | Time: 15782.1 ms [2020-11-10 10:05:35 main:574] : INFO : Epoch 112 | loss: 7.79992e-05 | val_loss: 7.80897e-05 | Time: 15840.6 ms [2020-11-10 10:05:51 main:574] : INFO : Epoch 113 | loss: 7.50441e-05 | val_loss: 7.50848e-05 | Time: 15783.7 ms [2020-11-10 10:06:07 main:574] : INFO : Epoch 114 | loss: 7.21653e-05 | val_loss: 7.22962e-05 | Time: 15869.7 ms [2020-11-10 10:06:23 main:574] : INFO : Epoch 115 | loss: 6.9737e-05 | val_loss: 6.91517e-05 | Time: 15743.8 ms [2020-11-10 10:06:39 main:574] : INFO : Epoch 116 | loss: 6.7088e-05 | val_loss: 6.69066e-05 | Time: 15728 ms [2020-11-10 10:06:55 main:574] : INFO : Epoch 117 | loss: 6.50488e-05 | val_loss: 6.42952e-05 | Time: 16009.3 ms [2020-11-10 10:07:11 main:574] : INFO : Epoch 118 | loss: 6.25854e-05 | val_loss: 6.29898e-05 | Time: 16003 ms [2020-11-10 10:07:26 main:574] : INFO : Epoch 119 | loss: 6.08786e-05 | val_loss: 6.06998e-05 | Time: 15755.9 ms [2020-11-10 10:07:42 main:574] : INFO : Epoch 120 | loss: 5.90399e-05 | val_loss: 5.95732e-05 | Time: 15959.9 ms [2020-11-10 10:07:58 main:574] : INFO : Epoch 121 | loss: 5.70996e-05 | val_loss: 5.74377e-05 | Time: 15947.6 ms [2020-11-10 10:08:14 main:574] : INFO : Epoch 122 | loss: 5.58439e-05 | val_loss: 5.56353e-05 | Time: 15874.5 ms [2020-11-10 10:08:30 main:574] : INFO : Epoch 123 | loss: 5.34712e-05 | val_loss: 5.42546e-05 | Time: 15924.1 ms [2020-11-10 10:08:46 main:574] : INFO : Epoch 124 | loss: 5.18666e-05 | val_loss: 5.16108e-05 | Time: 15742.7 ms [2020-11-10 10:09:02 main:574] : INFO : Epoch 125 | loss: 5.03643e-05 | val_loss: 5.12612e-05 | Time: 15737.8 ms [2020-11-10 10:09:18 main:574] : INFO : Epoch 126 | loss: 4.95964e-05 | val_loss: 4.96315e-05 | Time: 15778.9 ms [2020-11-10 10:09:34 main:574] : INFO : Epoch 127 | loss: 4.78539e-05 | val_loss: 4.83116e-05 | Time: 15891.4 ms [2020-11-10 10:09:50 main:574] : INFO : Epoch 128 | loss: 4.66423e-05 | val_loss: 4.74683e-05 | Time: 15977.2 ms [2020-11-10 10:10:05 main:574] : INFO : Epoch 129 | loss: 4.53886e-05 | val_loss: 4.51707e-05 | Time: 15654 ms [2020-11-10 10:10:21 main:574] : INFO : Epoch 130 | loss: 4.40819e-05 | val_loss: 4.38626e-05 | Time: 15732.9 ms [2020-11-10 10:10:37 main:574] : INFO : Epoch 131 | loss: 4.32037e-05 | val_loss: 4.2879e-05 | Time: 15884.8 ms [2020-11-10 10:10:53 main:574] : INFO : Epoch 132 | loss: 4.17597e-05 | val_loss: 4.30215e-05 | Time: 15528.7 ms [2020-11-10 10:11:08 main:574] : INFO : Epoch 133 | loss: 4.077e-05 | val_loss: 4.16535e-05 | Time: 15801.7 ms [2020-11-10 10:11:24 main:574] : INFO : Epoch 134 | loss: 4.0036e-05 | val_loss: 4.07427e-05 | Time: 15985.8 ms [2020-11-10 10:11:40 main:574] : INFO : Epoch 135 | loss: 3.94766e-05 | val_loss: 3.97803e-05 | Time: 15793.1 ms [2020-11-10 10:11:56 main:574] : INFO : Epoch 136 | loss: 3.84181e-05 | val_loss: 3.85802e-05 | Time: 15924.2 ms [2020-11-10 10:12:12 main:574] : INFO : Epoch 137 | loss: 3.72261e-05 | val_loss: 3.81378e-05 | Time: 15924.1 ms [2020-11-10 10:12:28 main:574] : INFO : Epoch 138 | loss: 3.64763e-05 | val_loss: 3.66152e-05 | Time: 15959.9 ms [2020-11-10 10:12:44 main:574] : INFO : Epoch 139 | loss: 3.58979e-05 | val_loss: 3.55953e-05 | Time: 15798.6 ms [2020-11-10 10:13:00 main:574] : INFO : Epoch 140 | loss: 3.49997e-05 | val_loss: 3.41734e-05 | Time: 15923.1 ms [2020-11-10 10:13:16 main:574] : INFO : Epoch 141 | loss: 3.43452e-05 | val_loss: 3.49406e-05 | Time: 15645.1 ms [2020-11-10 10:13:32 main:574] : INFO : Epoch 142 | loss: 3.38096e-05 | val_loss: 3.42824e-05 | Time: 15843.3 ms [2020-11-10 10:13:47 main:574] : INFO : Epoch 143 | loss: 3.28168e-05 | val_loss: 3.31416e-05 | Time: 15834.5 ms [2020-11-10 10:14:03 main:574] : INFO : Epoch 144 | loss: 3.218e-05 | val_loss: 3.29286e-05 | Time: 15906 ms [2020-11-10 10:14:19 main:574] : INFO : Epoch 145 | loss: 3.16735e-05 | val_loss: 3.24223e-05 | Time: 15836.1 ms [2020-11-10 10:14:35 main:574] : INFO : Epoch 146 | loss: 3.08019e-05 | val_loss: 3.14592e-05 | Time: 15867.5 ms [2020-11-10 10:14:51 main:574] : INFO : Epoch 147 | loss: 3.05462e-05 | val_loss: 2.97727e-05 | Time: 15771.6 ms [2020-11-10 10:15:07 main:574] : INFO : Epoch 148 | loss: 3.08695e-05 | val_loss: 3.28585e-05 | Time: 15667.8 ms [2020-11-10 10:15:23 main:574] : INFO : Epoch 149 | loss: 2.93942e-05 | val_loss: 3.16753e-05 | Time: 15915.7 ms [2020-11-10 10:15:39 main:574] : INFO : Epoch 150 | loss: 2.88161e-05 | val_loss: 2.82998e-05 | Time: 15920.5 ms [2020-11-10 10:15:54 main:574] : INFO : Epoch 151 | loss: 2.83965e-05 | val_loss: 2.90057e-05 | Time: 15848 ms [2020-11-10 10:16:11 main:574] : INFO : Epoch 152 | loss: 2.79057e-05 | val_loss: 2.92813e-05 | Time: 15911.6 ms [2020-11-10 10:16:26 main:574] : INFO : Epoch 153 | loss: 2.73748e-05 | val_loss: 2.74622e-05 | Time: 15835.5 ms [2020-11-10 10:16:42 main:574] : INFO : Epoch 154 | loss: 2.68888e-05 | val_loss: 2.66463e-05 | Time: 15753.7 ms [2020-11-10 10:16:58 main:574] : INFO : Epoch 155 | loss: 2.65428e-05 | val_loss: 2.72448e-05 | Time: 15847 ms [2020-11-10 10:17:14 main:574] : INFO : Epoch 156 | loss: 2.61531e-05 | val_loss: 2.55821e-05 | Time: 15672.7 ms [2020-11-10 10:17:29 main:574] : INFO : Epoch 157 | loss: 2.57345e-05 | val_loss: 2.5707e-05 | Time: 15603.5 ms [2020-11-10 10:17:45 main:574] : INFO : Epoch 158 | loss: 2.52613e-05 | val_loss: 2.56861e-05 | Time: 15646.9 ms [2020-11-10 10:18:01 main:574] : INFO : Epoch 159 | loss: 2.47973e-05 | val_loss: 2.49193e-05 | Time: 15650.5 ms [2020-11-10 10:18:17 main:574] : INFO : Epoch 160 | loss: 2.44881e-05 | val_loss: 2.44408e-05 | Time: 15741.8 ms [2020-11-10 10:18:32 main:574] : INFO : Epoch 161 | loss: 2.48353e-05 | val_loss: 2.36941e-05 | Time: 15819.9 ms [2020-11-10 10:18:48 main:574] : INFO : Epoch 162 | loss: 2.38573e-05 | val_loss: 2.42737e-05 | Time: 15860.8 ms [2020-11-10 10:19:04 main:574] : INFO : Epoch 163 | loss: 2.37417e-05 | val_loss: 2.44265e-05 | Time: 15825.1 ms [2020-11-10 10:19:20 main:574] : INFO : Epoch 164 | loss: 2.32174e-05 | val_loss: 2.3086e-05 | Time: 16022.3 ms [2020-11-10 10:19:36 main:574] : INFO : Epoch 165 | loss: 2.26612e-05 | val_loss: 2.28458e-05 | Time: 15782.5 ms [2020-11-10 10:19:52 main:574] : INFO : Epoch 166 | loss: 2.2646e-05 | val_loss: 2.36747e-05 | Time: 15906.1 ms [2020-11-10 10:20:08 main:574] : INFO : Epoch 167 | loss: 2.23426e-05 | val_loss: 2.2827e-05 | Time: 15844.8 ms [2020-11-10 10:20:24 main:574] : INFO : Epoch 168 | loss: 2.20616e-05 | val_loss: 2.36711e-05 | Time: 15946.8 ms [2020-11-10 10:20:40 main:574] : INFO : Epoch 169 | loss: 2.16152e-05 | val_loss: 2.20948e-05 | Time: 15904.2 ms [2020-11-10 10:20:56 main:574] : INFO : Epoch 170 | loss: 2.15054e-05 | val_loss: 2.15291e-05 | Time: 15842.3 ms [2020-11-10 10:21:12 main:574] : INFO : Epoch 171 | loss: 2.08603e-05 | val_loss: 2.1305e-05 | Time: 15697 ms [2020-11-10 10:21:27 main:574] : INFO : Epoch 172 | loss: 2.10615e-05 | val_loss: 2.08214e-05 | Time: 15712.6 ms [2020-11-10 10:21:43 main:574] : INFO : Epoch 173 | loss: 2.07725e-05 | val_loss: 2.17635e-05 | Time: 15777.2 ms [2020-11-10 10:21:59 main:574] : INFO : Epoch 174 | loss: 2.06411e-05 | val_loss: 1.99544e-05 | Time: 15948.2 ms [2020-11-10 10:22:15 main:574] : INFO : Epoch 175 | loss: 2.00661e-05 | val_loss: 2.182e-05 | Time: 15858 ms [2020-11-10 10:22:31 main:574] : INFO : Epoch 176 | loss: 2.00452e-05 | val_loss: 2.03795e-05 | Time: 15829.6 ms [2020-11-10 10:22:47 main:574] : INFO : Epoch 177 | loss: 1.94155e-05 | val_loss: 1.99878e-05 | Time: 16012.5 ms [2020-11-10 10:23:03 main:574] : INFO : Epoch 178 | loss: 1.92873e-05 | val_loss: 1.91656e-05 | Time: 15760.1 ms [2020-11-10 10:23:19 main:574] : INFO : Epoch 179 | loss: 1.93451e-05 | val_loss: 1.92223e-05 | Time: 15783.4 ms [2020-11-10 10:23:34 main:574] : INFO : Epoch 180 | loss: 1.88617e-05 | val_loss: 1.85065e-05 | Time: 15809.1 ms [2020-11-10 10:23:50 main:574] : INFO : Epoch 181 | loss: 1.88023e-05 | val_loss: 1.98645e-05 | Time: 15854.7 ms [2020-11-10 10:24:06 main:574] : INFO : Epoch 182 | loss: 1.86692e-05 | val_loss: 1.87456e-05 | Time: 15913.7 ms [2020-11-10 10:24:22 main:574] : INFO : Epoch 183 | loss: 1.86035e-05 | val_loss: 1.79904e-05 | Time: 15923 ms [2020-11-10 10:24:38 main:574] : INFO : Epoch 184 | loss: 1.80148e-05 | val_loss: 1.87468e-05 | Time: 15839.8 ms [2020-11-10 10:24:54 main:574] : INFO : Epoch 185 | loss: 1.82047e-05 | val_loss: 1.93487e-05 | Time: 15680.7 ms [2020-11-10 10:25:10 main:574] : INFO : Epoch 186 | loss: 1.77506e-05 | val_loss: 1.80979e-05 | Time: 15801.6 ms [2020-11-10 10:25:25 main:574] : INFO : Epoch 187 | loss: 1.72556e-05 | val_loss: 1.73235e-05 | Time: 15535 ms [2020-11-10 10:25:41 main:574] : INFO : Epoch 188 | loss: 1.72418e-05 | val_loss: 1.94858e-05 | Time: 15785.1 ms [2020-11-10 10:25:57 main:574] : INFO : Epoch 189 | loss: 1.76598e-05 | val_loss: 1.70717e-05 | Time: 15929.1 ms [2020-11-10 10:26:13 main:574] : INFO : Epoch 190 | loss: 1.73634e-05 | val_loss: 1.81101e-05 | Time: 15847.5 ms [2020-11-10 10:26:29 main:574] : INFO : Epoch 191 | loss: 1.69164e-05 | val_loss: 1.69303e-05 | Time: 15791.1 ms [2020-11-10 10:26:45 main:574] : INFO : Epoch 192 | loss: 1.65254e-05 | val_loss: 1.6268e-05 | Time: 16073 ms [2020-11-10 10:26:45 main:597] : INFO : Saving trained model to model-final.pt, val_loss 1.6268e-05 [2020-11-10 10:26:45 main:603] : INFO : Saving end state to config to file [2020-11-10 10:26:45 main:608] : INFO : Success, exiting.. 10:26:45 (6800): 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)