| Name | rand_automata_0067-1604947488-21812-0_1 |
| Workunit | 1259384 |
| 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, 5:09:45 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 596 |
| Run time | 51 min 6 sec |
| CPU time | 49 min 44 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 05:18:31 main:435] : INFO : Set logging level to 1 [2020-11-10 05:18:31 main:441] : INFO : Running in BOINC Client mode [2020-11-10 05:18:31 main:444] : INFO : Resolving all filenames [2020-11-10 05:18:31 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0067-train-val-dataset.hdf5 (exists = 1) [2020-11-10 05:18:31 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0067-1604947488-21812-0_1_r1775727947_1 (exists = 0) [2020-11-10 05:18:31 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0067-1604947488-21812-0_1_r1775727947_0 (exists = 0) [2020-11-10 05:18:31 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-10 05:18:31 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-10 05:18:31 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0067-train-val-dataset.hdf5 [2020-11-10 05:18:31 main:474] : INFO : Configuration: [2020-11-10 05:18:31 main:475] : INFO : Model type: LSTM [2020-11-10 05:18:31 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-10 05:18:31 main:477] : INFO : Max Epochs: 192 [2020-11-10 05:18:31 main:478] : INFO : Batch Size: 32 [2020-11-10 05:18:31 main:479] : INFO : Learning Rate: 0.001 [2020-11-10 05:18:31 main:480] : INFO : Patience: 10 [2020-11-10 05:18:31 main:481] : INFO : Hidden Width: 64 [2020-11-10 05:18:31 main:482] : INFO : # Recurrent Layers: 4 [2020-11-10 05:18:31 main:483] : INFO : # Backend Layers: 2 [2020-11-10 05:18:31 main:484] : INFO : # Threads: 1 [2020-11-10 05:18:31 main:486] : INFO : Preparing Dataset [2020-11-10 05:18:31 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0067-train-val-dataset.hdf5 into memory [2020-11-10 05:18:31 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0067-train-val-dataset.hdf5 into memory [2020-11-10 05:18:38 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-10 05:18:38 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0067-train-val-dataset.hdf5 into memory [2020-11-10 05:18:38 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0067-train-val-dataset.hdf5 into memory [2020-11-10 05:18:38 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-10 05:18:38 main:494] : INFO : Creating Model [2020-11-10 05:18:38 main:507] : INFO : Preparing config file [2020-11-10 05:18:38 main:519] : INFO : Creating new config file [2020-11-10 05:18:43 main:559] : INFO : Loading DataLoader into Memory [2020-11-10 05:18:43 main:562] : INFO : Starting Training [2020-11-10 05:19:00 main:574] : INFO : Epoch 1 | loss: 0.0659293 | val_loss: 0.0656662 | Time: 16951.2 ms [2020-11-10 05:19:16 main:574] : INFO : Epoch 2 | loss: 0.0645974 | val_loss: 0.0634427 | Time: 16022.9 ms [2020-11-10 05:19:32 main:574] : INFO : Epoch 3 | loss: 0.0613815 | val_loss: 0.0596926 | Time: 15877.1 ms [2020-11-10 05:19:48 main:574] : INFO : Epoch 4 | loss: 0.0580526 | val_loss: 0.0564375 | Time: 15825.5 ms [2020-11-10 05:20:04 main:574] : INFO : Epoch 5 | loss: 0.0551499 | val_loss: 0.0538795 | Time: 15795.2 ms [2020-11-10 05:20:20 main:574] : INFO : Epoch 6 | loss: 0.0529413 | val_loss: 0.0520262 | Time: 15825.9 ms [2020-11-10 05:20:36 main:574] : INFO : Epoch 7 | loss: 0.0512714 | val_loss: 0.0503768 | Time: 15962.1 ms [2020-11-10 05:20:51 main:574] : INFO : Epoch 8 | loss: 0.049723 | val_loss: 0.0489743 | Time: 15562.8 ms [2020-11-10 05:21:07 main:574] : INFO : Epoch 9 | loss: 0.0482594 | val_loss: 0.0475811 | Time: 15700.2 ms [2020-11-10 05:21:23 main:574] : INFO : Epoch 10 | loss: 0.0468829 | val_loss: 0.0460726 | Time: 15789 ms [2020-11-10 05:21:39 main:574] : INFO : Epoch 11 | loss: 0.045323 | val_loss: 0.0447374 | Time: 15741.3 ms [2020-11-10 05:21:55 main:574] : INFO : Epoch 12 | loss: 0.0436937 | val_loss: 0.043185 | Time: 15824.2 ms [2020-11-10 05:22:10 main:574] : INFO : Epoch 13 | loss: 0.0418134 | val_loss: 0.0409323 | Time: 15841.8 ms [2020-11-10 05:22:26 main:574] : INFO : Epoch 14 | loss: 0.0396908 | val_loss: 0.0389801 | Time: 15769.7 ms [2020-11-10 05:22:42 main:574] : INFO : Epoch 15 | loss: 0.0372842 | val_loss: 0.036491 | Time: 15768.4 ms [2020-11-10 05:22:58 main:574] : INFO : Epoch 16 | loss: 0.0348372 | val_loss: 0.0343111 | Time: 15695.1 ms [2020-11-10 05:23:14 main:574] : INFO : Epoch 17 | loss: 0.0321387 | val_loss: 0.0317834 | Time: 15828 ms [2020-11-10 05:23:30 main:574] : INFO : Epoch 18 | loss: 0.0293123 | val_loss: 0.028998 | Time: 15975.7 ms [2020-11-10 05:23:45 main:574] : INFO : Epoch 19 | loss: 0.0267052 | val_loss: 0.0268312 | Time: 15764 ms [2020-11-10 05:24:01 main:574] : INFO : Epoch 20 | loss: 0.0244896 | val_loss: 0.0265057 | Time: 15810.4 ms [2020-11-10 05:24:17 main:574] : INFO : Epoch 21 | loss: 0.0222961 | val_loss: 0.0204691 | Time: 15866.6 ms [2020-11-10 05:24:33 main:574] : INFO : Epoch 22 | loss: 0.020527 | val_loss: 0.0181351 | Time: 15903.5 ms [2020-11-10 05:24:49 main:574] : INFO : Epoch 23 | loss: 0.0189422 | val_loss: 0.0206641 | Time: 15690.1 ms [2020-11-10 05:25:05 main:574] : INFO : Epoch 24 | loss: 0.0185943 | val_loss: 0.0188565 | Time: 16066.7 ms [2020-11-10 05:25:21 main:574] : INFO : Epoch 25 | loss: 0.0183352 | val_loss: 0.0134935 | Time: 15802.1 ms [2020-11-10 05:25:37 main:574] : INFO : Epoch 26 | loss: 0.0125609 | val_loss: 0.0319287 | Time: 15759 ms [2020-11-10 05:25:53 main:574] : INFO : Epoch 27 | loss: 0.0219375 | val_loss: 0.0137663 | Time: 15805.4 ms [2020-11-10 05:26:09 main:574] : INFO : Epoch 28 | loss: 0.0162474 | val_loss: 0.0132132 | Time: 15921.4 ms [2020-11-10 05:26:24 main:574] : INFO : Epoch 29 | loss: 0.0122303 | val_loss: 0.0113474 | Time: 15725.5 ms [2020-11-10 05:26:40 main:574] : INFO : Epoch 30 | loss: 0.0115516 | val_loss: 0.00962923 | Time: 15726.4 ms [2020-11-10 05:26:56 main:574] : INFO : Epoch 31 | loss: 0.00874776 | val_loss: 0.00885809 | Time: 15859.8 ms [2020-11-10 05:27:12 main:574] : INFO : Epoch 32 | loss: 0.0102973 | val_loss: 0.0429463 | Time: 16000.1 ms [2020-11-10 05:27:28 main:574] : INFO : Epoch 33 | loss: 0.0213733 | val_loss: 0.0520061 | Time: 15998.5 ms [2020-11-10 05:27:44 main:574] : INFO : Epoch 34 | loss: 0.0345578 | val_loss: 0.0158307 | Time: 15699.7 ms [2020-11-10 05:27:59 main:574] : INFO : Epoch 35 | loss: 0.012954 | val_loss: 0.0145758 | Time: 15717.8 ms [2020-11-10 05:28:15 main:574] : INFO : Epoch 36 | loss: 0.0111998 | val_loss: 0.0124633 | Time: 15700.2 ms [2020-11-10 05:28:31 main:574] : INFO : Epoch 37 | loss: 0.0089515 | val_loss: 0.0081819 | Time: 15859.6 ms [2020-11-10 05:28:47 main:574] : INFO : Epoch 38 | loss: 0.00771275 | val_loss: 0.007586 | Time: 15850.6 ms [2020-11-10 05:29:03 main:574] : INFO : Epoch 39 | loss: 0.00750991 | val_loss: 0.00745109 | Time: 15746.3 ms [2020-11-10 05:29:19 main:574] : INFO : Epoch 40 | loss: 0.00687966 | val_loss: 0.0069597 | Time: 15803.6 ms [2020-11-10 05:29:34 main:574] : INFO : Epoch 41 | loss: 0.00655412 | val_loss: 0.00667307 | Time: 15711.6 ms [2020-11-10 05:29:50 main:574] : INFO : Epoch 42 | loss: 0.00633465 | val_loss: 0.00645761 | Time: 15749.7 ms [2020-11-10 05:30:06 main:574] : INFO : Epoch 43 | loss: 0.00612421 | val_loss: 0.00625441 | Time: 15862.7 ms [2020-11-10 05:30:22 main:574] : INFO : Epoch 44 | loss: 0.00593762 | val_loss: 0.0060909 | Time: 15908 ms [2020-11-10 05:30:38 main:574] : INFO : Epoch 45 | loss: 0.00576211 | val_loss: 0.00588893 | Time: 15713.4 ms [2020-11-10 05:30:54 main:574] : INFO : Epoch 46 | loss: 0.00570485 | val_loss: 0.00584514 | Time: 15874.1 ms [2020-11-10 05:31:10 main:574] : INFO : Epoch 47 | loss: 0.00545175 | val_loss: 0.00555878 | Time: 15822.8 ms [2020-11-10 05:31:25 main:574] : INFO : Epoch 48 | loss: 0.00525988 | val_loss: 0.0053803 | Time: 15622.8 ms [2020-11-10 05:31:41 main:574] : INFO : Epoch 49 | loss: 0.00510237 | val_loss: 0.00521027 | Time: 15794.2 ms [2020-11-10 05:31:57 main:574] : INFO : Epoch 50 | loss: 0.00494148 | val_loss: 0.00505392 | Time: 15843.4 ms [2020-11-10 05:32:13 main:574] : INFO : Epoch 51 | loss: 0.00479098 | val_loss: 0.00488103 | Time: 15753.4 ms [2020-11-10 05:32:29 main:574] : INFO : Epoch 52 | loss: 0.0046402 | val_loss: 0.00474571 | Time: 15878.3 ms [2020-11-10 05:32:45 main:574] : INFO : Epoch 53 | loss: 0.00449965 | val_loss: 0.00457077 | Time: 15820.3 ms [2020-11-10 05:33:00 main:574] : INFO : Epoch 54 | loss: 0.00435144 | val_loss: 0.00440446 | Time: 15779.8 ms [2020-11-10 05:33:16 main:574] : INFO : Epoch 55 | loss: 0.00421184 | val_loss: 0.00424209 | Time: 15766.7 ms [2020-11-10 05:33:32 main:574] : INFO : Epoch 56 | loss: 0.00407397 | val_loss: 0.00410494 | Time: 15760 ms [2020-11-10 05:33:48 main:574] : INFO : Epoch 57 | loss: 0.00393947 | val_loss: 0.00397753 | Time: 15810.3 ms [2020-11-10 05:34:04 main:574] : INFO : Epoch 58 | loss: 0.00380504 | val_loss: 0.00381463 | Time: 15905.6 ms [2020-11-10 05:34:20 main:574] : INFO : Epoch 59 | loss: 0.00367629 | val_loss: 0.00367225 | Time: 15782.2 ms [2020-11-10 05:34:36 main:574] : INFO : Epoch 60 | loss: 0.00354743 | val_loss: 0.00353517 | Time: 15756.4 ms [2020-11-10 05:34:52 main:574] : INFO : Epoch 61 | loss: 0.00342136 | val_loss: 0.00340589 | Time: 15905.1 ms [2020-11-10 05:35:07 main:574] : INFO : Epoch 62 | loss: 0.00329945 | val_loss: 0.00328088 | Time: 15767.2 ms [2020-11-10 05:35:23 main:574] : INFO : Epoch 63 | loss: 0.00318053 | val_loss: 0.00315845 | Time: 15916.5 ms [2020-11-10 05:35:39 main:574] : INFO : Epoch 64 | loss: 0.00306316 | val_loss: 0.0030436 | Time: 15884.8 ms [2020-11-10 05:35:55 main:574] : INFO : Epoch 65 | loss: 0.0029518 | val_loss: 0.00293515 | Time: 15785.8 ms [2020-11-10 05:36:11 main:574] : INFO : Epoch 66 | loss: 0.00284224 | val_loss: 0.00282355 | Time: 15682.3 ms [2020-11-10 05:36:27 main:574] : INFO : Epoch 67 | loss: 0.00273445 | val_loss: 0.00271628 | Time: 15836.3 ms [2020-11-10 05:36:43 main:574] : INFO : Epoch 68 | loss: 0.00263094 | val_loss: 0.00261352 | Time: 15839 ms [2020-11-10 05:36:58 main:574] : INFO : Epoch 69 | loss: 0.00253003 | val_loss: 0.00250914 | Time: 15763.6 ms [2020-11-10 05:37:14 main:574] : INFO : Epoch 70 | loss: 0.00243279 | val_loss: 0.0024129 | Time: 15591.2 ms [2020-11-10 05:37:30 main:574] : INFO : Epoch 71 | loss: 0.00233818 | val_loss: 0.00232249 | Time: 15611.9 ms [2020-11-10 05:37:45 main:574] : INFO : Epoch 72 | loss: 0.00224916 | val_loss: 0.00222955 | Time: 15813 ms [2020-11-10 05:38:01 main:574] : INFO : Epoch 73 | loss: 0.00216018 | val_loss: 0.00214228 | Time: 15788.8 ms [2020-11-10 05:38:17 main:574] : INFO : Epoch 74 | loss: 0.0020752 | val_loss: 0.00205305 | Time: 15834.3 ms [2020-11-10 05:38:33 main:574] : INFO : Epoch 75 | loss: 0.00199289 | val_loss: 0.00197358 | Time: 15751.2 ms [2020-11-10 05:38:49 main:574] : INFO : Epoch 76 | loss: 0.00191509 | val_loss: 0.00189654 | Time: 15812.5 ms [2020-11-10 05:39:05 main:574] : INFO : Epoch 77 | loss: 0.00183868 | val_loss: 0.00182501 | Time: 15805.6 ms [2020-11-10 05:39:21 main:574] : INFO : Epoch 78 | loss: 0.0017659 | val_loss: 0.00175216 | Time: 15805.7 ms [2020-11-10 05:39:36 main:574] : INFO : Epoch 79 | loss: 0.00169575 | val_loss: 0.00167559 | Time: 15709.3 ms [2020-11-10 05:39:52 main:574] : INFO : Epoch 80 | loss: 0.00162724 | val_loss: 0.00161214 | Time: 15872.8 ms [2020-11-10 05:40:08 main:574] : INFO : Epoch 81 | loss: 0.00156298 | val_loss: 0.00154636 | Time: 15801.3 ms [2020-11-10 05:40:24 main:574] : INFO : Epoch 82 | loss: 0.00149868 | val_loss: 0.00148392 | Time: 15614.2 ms [2020-11-10 05:40:39 main:574] : INFO : Epoch 83 | loss: 0.00143852 | val_loss: 0.00142232 | Time: 15765.7 ms [2020-11-10 05:40:55 main:574] : INFO : Epoch 84 | loss: 0.00137938 | val_loss: 0.00136338 | Time: 15809.6 ms [2020-11-10 05:41:11 main:574] : INFO : Epoch 85 | loss: 0.00132374 | val_loss: 0.00130746 | Time: 15834.4 ms [2020-11-10 05:41:27 main:574] : INFO : Epoch 86 | loss: 0.00127075 | val_loss: 0.00125547 | Time: 15673 ms [2020-11-10 05:41:43 main:574] : INFO : Epoch 87 | loss: 0.00121938 | val_loss: 0.00120223 | Time: 15638.5 ms [2020-11-10 05:41:58 main:574] : INFO : Epoch 88 | loss: 0.00116993 | val_loss: 0.00115379 | Time: 15729.7 ms [2020-11-10 05:42:14 main:574] : INFO : Epoch 89 | loss: 0.00112376 | val_loss: 0.00110732 | Time: 15861.2 ms [2020-11-10 05:42:30 main:574] : INFO : Epoch 90 | loss: 0.00107853 | val_loss: 0.00106542 | Time: 15698.1 ms [2020-11-10 05:42:46 main:574] : INFO : Epoch 91 | loss: 0.00103604 | val_loss: 0.00102182 | Time: 15602.2 ms [2020-11-10 05:43:02 main:574] : INFO : Epoch 92 | loss: 0.0009939 | val_loss: 0.000978895 | Time: 15851.9 ms [2020-11-10 05:43:17 main:574] : INFO : Epoch 93 | loss: 0.000952756 | val_loss: 0.000937357 | Time: 15778.2 ms [2020-11-10 05:43:33 main:574] : INFO : Epoch 94 | loss: 0.000914978 | val_loss: 0.000900333 | Time: 15664.3 ms [2020-11-10 05:43:49 main:574] : INFO : Epoch 95 | loss: 0.000878514 | val_loss: 0.000861896 | Time: 15956.6 ms [2020-11-10 05:44:05 main:574] : INFO : Epoch 96 | loss: 0.000842793 | val_loss: 0.00083001 | Time: 15861.6 ms [2020-11-10 05:44:21 main:574] : INFO : Epoch 97 | loss: 0.000809878 | val_loss: 0.000795701 | Time: 15614.8 ms [2020-11-10 05:44:37 main:574] : INFO : Epoch 98 | loss: 0.000776728 | val_loss: 0.000765807 | Time: 15791.2 ms [2020-11-10 05:44:52 main:574] : INFO : Epoch 99 | loss: 0.000745951 | val_loss: 0.000733161 | Time: 15810.1 ms [2020-11-10 05:45:08 main:574] : INFO : Epoch 100 | loss: 0.000715753 | val_loss: 0.000703561 | Time: 15809.2 ms [2020-11-10 05:45:24 main:574] : INFO : Epoch 101 | loss: 0.000686809 | val_loss: 0.000676804 | Time: 15627.1 ms [2020-11-10 05:45:40 main:574] : INFO : Epoch 102 | loss: 0.000660391 | val_loss: 0.000649351 | Time: 15722.6 ms [2020-11-10 05:45:56 main:574] : INFO : Epoch 103 | loss: 0.000633617 | val_loss: 0.00062184 | Time: 15810.8 ms [2020-11-10 05:46:11 main:574] : INFO : Epoch 104 | loss: 0.000608432 | val_loss: 0.000599493 | Time: 15765.5 ms [2020-11-10 05:46:27 main:574] : INFO : Epoch 105 | loss: 0.000585483 | val_loss: 0.000577382 | Time: 15794.7 ms [2020-11-10 05:46:43 main:574] : INFO : Epoch 106 | loss: 0.000563304 | val_loss: 0.000555335 | Time: 15821.2 ms [2020-11-10 05:46:59 main:574] : INFO : Epoch 107 | loss: 0.00054164 | val_loss: 0.000536838 | Time: 15831.2 ms [2020-11-10 05:47:15 main:574] : INFO : Epoch 108 | loss: 0.000521761 | val_loss: 0.000511759 | Time: 15809.1 ms [2020-11-10 05:47:31 main:574] : INFO : Epoch 109 | loss: 0.000501152 | val_loss: 0.000495195 | Time: 15741.9 ms [2020-11-10 05:47:46 main:574] : INFO : Epoch 110 | loss: 0.000483398 | val_loss: 0.000477368 | Time: 15788.5 ms [2020-11-10 05:48:02 main:574] : INFO : Epoch 111 | loss: 0.000466337 | val_loss: 0.000461876 | Time: 15815.5 ms [2020-11-10 05:48:18 main:574] : INFO : Epoch 112 | loss: 0.000449776 | val_loss: 0.00044632 | Time: 15658.5 ms [2020-11-10 05:48:34 main:574] : INFO : Epoch 113 | loss: 0.000433869 | val_loss: 0.000432457 | Time: 15724.6 ms [2020-11-10 05:48:50 main:574] : INFO : Epoch 114 | loss: 0.000418965 | val_loss: 0.000416421 | Time: 15831.4 ms [2020-11-10 05:49:05 main:574] : INFO : Epoch 115 | loss: 0.000404201 | val_loss: 0.000401039 | Time: 15874.3 ms [2020-11-10 05:49:21 main:574] : INFO : Epoch 116 | loss: 0.0003916 | val_loss: 0.000389846 | Time: 15824.2 ms [2020-11-10 05:49:37 main:574] : INFO : Epoch 117 | loss: 0.00037872 | val_loss: 0.00037528 | Time: 15693.5 ms [2020-11-10 05:49:53 main:574] : INFO : Epoch 118 | loss: 0.0003664 | val_loss: 0.000362979 | Time: 15592.9 ms [2020-11-10 05:50:08 main:574] : INFO : Epoch 119 | loss: 0.00035495 | val_loss: 0.000350781 | Time: 15701.7 ms [2020-11-10 05:50:24 main:574] : INFO : Epoch 120 | loss: 0.000344017 | val_loss: 0.000341592 | Time: 15767.8 ms [2020-11-10 05:50:40 main:574] : INFO : Epoch 121 | loss: 0.00033273 | val_loss: 0.000329057 | Time: 15728.5 ms [2020-11-10 05:50:56 main:574] : INFO : Epoch 122 | loss: 0.000322575 | val_loss: 0.000322765 | Time: 15747.7 ms [2020-11-10 05:51:12 main:574] : INFO : Epoch 123 | loss: 0.000314423 | val_loss: 0.00031312 | Time: 15739.7 ms [2020-11-10 05:51:28 main:574] : INFO : Epoch 124 | loss: 0.000304357 | val_loss: 0.000300243 | Time: 15837 ms [2020-11-10 05:51:43 main:574] : INFO : Epoch 125 | loss: 0.0002952 | val_loss: 0.000292244 | Time: 15683.7 ms [2020-11-10 05:51:59 main:574] : INFO : Epoch 126 | loss: 0.000286953 | val_loss: 0.000283829 | Time: 15775.8 ms [2020-11-10 05:52:15 main:574] : INFO : Epoch 127 | loss: 0.000278773 | val_loss: 0.000277742 | Time: 15862.6 ms [2020-11-10 05:52:31 main:574] : INFO : Epoch 128 | loss: 0.000271366 | val_loss: 0.000270689 | Time: 15718.8 ms [2020-11-10 05:52:47 main:574] : INFO : Epoch 129 | loss: 0.000264126 | val_loss: 0.00026184 | Time: 15868.1 ms [2020-11-10 05:53:02 main:574] : INFO : Epoch 130 | loss: 0.00025719 | val_loss: 0.000253729 | Time: 15792.6 ms [2020-11-10 05:53:18 main:574] : INFO : Epoch 131 | loss: 0.000250181 | val_loss: 0.000250264 | Time: 15817.6 ms [2020-11-10 05:53:34 main:574] : INFO : Epoch 132 | loss: 0.000244193 | val_loss: 0.000244972 | Time: 15705.5 ms [2020-11-10 05:53:50 main:574] : INFO : Epoch 133 | loss: 0.000238168 | val_loss: 0.00023614 | Time: 15600.4 ms [2020-11-10 05:54:06 main:574] : INFO : Epoch 134 | loss: 0.000231361 | val_loss: 0.000230777 | Time: 15764.4 ms [2020-11-10 05:54:21 main:574] : INFO : Epoch 135 | loss: 0.000226492 | val_loss: 0.000226585 | Time: 15920.8 ms [2020-11-10 05:54:37 main:574] : INFO : Epoch 136 | loss: 0.000220561 | val_loss: 0.000219158 | Time: 15832.9 ms [2020-11-10 05:54:53 main:574] : INFO : Epoch 137 | loss: 0.000214881 | val_loss: 0.000213966 | Time: 15655.3 ms [2020-11-10 05:55:09 main:574] : INFO : Epoch 138 | loss: 0.00021071 | val_loss: 0.000210822 | Time: 15946.4 ms [2020-11-10 05:55:25 main:574] : INFO : Epoch 139 | loss: 0.000205366 | val_loss: 0.000204743 | Time: 15716.4 ms [2020-11-10 05:55:41 main:574] : INFO : Epoch 140 | loss: 0.000201019 | val_loss: 0.000199983 | Time: 15853.8 ms [2020-11-10 05:55:57 main:574] : INFO : Epoch 141 | loss: 0.000195523 | val_loss: 0.000195384 | Time: 15796.8 ms [2020-11-10 05:56:12 main:574] : INFO : Epoch 142 | loss: 0.000191989 | val_loss: 0.000190874 | Time: 15798.7 ms [2020-11-10 05:56:28 main:574] : INFO : Epoch 143 | loss: 0.000187081 | val_loss: 0.000187428 | Time: 15787.2 ms [2020-11-10 05:56:44 main:574] : INFO : Epoch 144 | loss: 0.000183832 | val_loss: 0.000182882 | Time: 15670.8 ms [2020-11-10 05:57:00 main:574] : INFO : Epoch 145 | loss: 0.00017963 | val_loss: 0.000180401 | Time: 15867.4 ms [2020-11-10 05:57:16 main:574] : INFO : Epoch 146 | loss: 0.00017564 | val_loss: 0.000174706 | Time: 15862.5 ms [2020-11-10 05:57:32 main:574] : INFO : Epoch 147 | loss: 0.000171863 | val_loss: 0.000171146 | Time: 15767 ms [2020-11-10 05:57:48 main:574] : INFO : Epoch 148 | loss: 0.000169283 | val_loss: 0.000168012 | Time: 15800.2 ms [2020-11-10 05:58:03 main:574] : INFO : Epoch 149 | loss: 0.000165519 | val_loss: 0.000165103 | Time: 15770.6 ms [2020-11-10 05:58:19 main:574] : INFO : Epoch 150 | loss: 0.000162366 | val_loss: 0.000162521 | Time: 15737 ms [2020-11-10 05:58:35 main:574] : INFO : Epoch 151 | loss: 0.000158739 | val_loss: 0.000157276 | Time: 15734.2 ms [2020-11-10 05:58:51 main:574] : INFO : Epoch 152 | loss: 0.00015538 | val_loss: 0.000155318 | Time: 15697.5 ms [2020-11-10 05:59:07 main:574] : INFO : Epoch 153 | loss: 0.000152101 | val_loss: 0.000151635 | Time: 15923.7 ms [2020-11-10 05:59:22 main:574] : INFO : Epoch 154 | loss: 0.000149414 | val_loss: 0.000148796 | Time: 15792.4 ms [2020-11-10 05:59:38 main:574] : INFO : Epoch 155 | loss: 0.000146784 | val_loss: 0.000147236 | Time: 15754.3 ms [2020-11-10 05:59:54 main:574] : INFO : Epoch 156 | loss: 0.00014465 | val_loss: 0.000144981 | Time: 15731.2 ms [2020-11-10 06:00:10 main:574] : INFO : Epoch 157 | loss: 0.000141781 | val_loss: 0.000141859 | Time: 15704.8 ms [2020-11-10 06:00:26 main:574] : INFO : Epoch 158 | loss: 0.000139056 | val_loss: 0.000139471 | Time: 15825.7 ms [2020-11-10 06:00:41 main:574] : INFO : Epoch 159 | loss: 0.000136546 | val_loss: 0.00013613 | Time: 15740 ms [2020-11-10 06:00:57 main:574] : INFO : Epoch 160 | loss: 0.000134082 | val_loss: 0.000135752 | Time: 15753.7 ms [2020-11-10 06:01:13 main:574] : INFO : Epoch 161 | loss: 0.000132367 | val_loss: 0.000132098 | Time: 15829.1 ms [2020-11-10 06:01:29 main:574] : INFO : Epoch 162 | loss: 0.000129514 | val_loss: 0.000129236 | Time: 15726.5 ms [2020-11-10 06:01:45 main:574] : INFO : Epoch 163 | loss: 0.000128221 | val_loss: 0.000128095 | Time: 15734.9 ms [2020-11-10 06:02:00 main:574] : INFO : Epoch 164 | loss: 0.000125506 | val_loss: 0.00012482 | Time: 15579.7 ms [2020-11-10 06:02:16 main:574] : INFO : Epoch 165 | loss: 0.000123726 | val_loss: 0.000123563 | Time: 15863.1 ms [2020-11-10 06:02:32 main:574] : INFO : Epoch 166 | loss: 0.000121398 | val_loss: 0.000120994 | Time: 15783.4 ms [2020-11-10 06:02:48 main:574] : INFO : Epoch 167 | loss: 0.00011936 | val_loss: 0.000117531 | Time: 15844.2 ms [2020-11-10 06:03:04 main:574] : INFO : Epoch 168 | loss: 0.000117346 | val_loss: 0.00011822 | Time: 15709 ms [2020-11-10 06:03:19 main:574] : INFO : Epoch 169 | loss: 0.000115919 | val_loss: 0.000117075 | Time: 15837.6 ms [2020-11-10 06:03:35 main:574] : INFO : Epoch 170 | loss: 0.0001139 | val_loss: 0.000114915 | Time: 15870.9 ms [2020-11-10 06:03:51 main:574] : INFO : Epoch 171 | loss: 0.000112417 | val_loss: 0.000112626 | Time: 15744.5 ms [2020-11-10 06:04:07 main:574] : INFO : Epoch 172 | loss: 0.000110367 | val_loss: 0.000110295 | Time: 15743.9 ms [2020-11-10 06:04:23 main:574] : INFO : Epoch 173 | loss: 0.00010887 | val_loss: 0.000110024 | Time: 15760.3 ms [2020-11-10 06:04:39 main:574] : INFO : Epoch 174 | loss: 0.000107409 | val_loss: 0.000108072 | Time: 15797.2 ms [2020-11-10 06:04:54 main:574] : INFO : Epoch 175 | loss: 0.000105498 | val_loss: 0.000106453 | Time: 15833 ms [2020-11-10 06:05:10 main:574] : INFO : Epoch 176 | loss: 0.000104409 | val_loss: 0.000104336 | Time: 15883.6 ms [2020-11-10 06:05:26 main:574] : INFO : Epoch 177 | loss: 0.000102832 | val_loss: 0.000104074 | Time: 15832.5 ms [2020-11-10 06:05:42 main:574] : INFO : Epoch 178 | loss: 0.000101414 | val_loss: 0.000103498 | Time: 15746.9 ms [2020-11-10 06:05:58 main:574] : INFO : Epoch 179 | loss: 9.98107e-05 | val_loss: 0.000100555 | Time: 15680.5 ms [2020-11-10 06:06:13 main:574] : INFO : Epoch 180 | loss: 9.86096e-05 | val_loss: 0.000100381 | Time: 15676.1 ms [2020-11-10 06:06:29 main:574] : INFO : Epoch 181 | loss: 9.71691e-05 | val_loss: 9.73079e-05 | Time: 15953.8 ms [2020-11-10 06:06:45 main:574] : INFO : Epoch 182 | loss: 9.57133e-05 | val_loss: 9.60974e-05 | Time: 15764.6 ms [2020-11-10 06:07:01 main:574] : INFO : Epoch 183 | loss: 9.38677e-05 | val_loss: 9.43377e-05 | Time: 15563.5 ms [2020-11-10 06:07:17 main:574] : INFO : Epoch 184 | loss: 9.31285e-05 | val_loss: 9.44478e-05 | Time: 15841.4 ms [2020-11-10 06:07:32 main:574] : INFO : Epoch 185 | loss: 9.18409e-05 | val_loss: 9.2185e-05 | Time: 15726.4 ms [2020-11-10 06:07:48 main:574] : INFO : Epoch 186 | loss: 9.03527e-05 | val_loss: 9.09415e-05 | Time: 15779 ms [2020-11-10 06:08:04 main:574] : INFO : Epoch 187 | loss: 8.91976e-05 | val_loss: 8.94037e-05 | Time: 15803.7 ms [2020-11-10 06:08:20 main:574] : INFO : Epoch 188 | loss: 8.7899e-05 | val_loss: 8.89106e-05 | Time: 15748.4 ms [2020-11-10 06:08:36 main:574] : INFO : Epoch 189 | loss: 8.69189e-05 | val_loss: 8.76734e-05 | Time: 15835.6 ms [2020-11-10 06:08:52 main:574] : INFO : Epoch 190 | loss: 8.60535e-05 | val_loss: 8.61095e-05 | Time: 15725.8 ms [2020-11-10 06:09:07 main:574] : INFO : Epoch 191 | loss: 8.49093e-05 | val_loss: 8.58974e-05 | Time: 15847.8 ms [2020-11-10 06:09:23 main:574] : INFO : Epoch 192 | loss: 8.3691e-05 | val_loss: 8.44148e-05 | Time: 15683.5 ms [2020-11-10 06:09:23 main:597] : INFO : Saving trained model to model-final.pt, val_loss 8.44148e-05 [2020-11-10 06:09:23 main:603] : INFO : Saving end state to config to file [2020-11-10 06:09:23 main:608] : INFO : Success, exiting.. 06:09:23 (2356): 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)