Task 2868267
| Name | rand_automata_0005-1605109696-16486-0_0 |
| Workunit | 1293836 |
| Created | 11 Nov 2020, 15:48:20 UTC |
| Sent | 11 Nov 2020, 21:54:27 UTC |
| Report deadline | 19 Nov 2020, 21:54:27 UTC |
| Received | 12 Nov 2020, 6:21:44 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 4439 |
| Run time | 50 min 21 sec |
| CPU time | 50 min 7 sec |
| Validate state | Valid |
| Credit | 959.40 |
| Device peak FLOPS | 1,476.13 GFLOPS |
| Application version | Machine Learning Dataset Generator (GPU) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 1.42 GB |
| Peak swap size | 2.53 GB |
| Peak disk usage | 1.54 GB |
Stderr output
<core_client_version>7.16.11</core_client_version> <![CDATA[ <stderr_txt> Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: GeForce GTX 750 Ti) [2020-11-12 00:28:56 main:435] : INFO : Set logging level to 1 [2020-11-12 00:28:56 main:441] : INFO : Running in BOINC Client mode [2020-11-12 00:28:56 main:444] : INFO : Resolving all filenames [2020-11-12 00:28:56 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0005-train-val-dataset.hdf5 (exists = 1) [2020-11-12 00:28:56 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0005-1605109696-16486-0_0_r1493303898_1 (exists = 0) [2020-11-12 00:28:56 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0005-1605109696-16486-0_0_r1493303898_0 (exists = 0) [2020-11-12 00:28:56 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-12 00:28:56 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-12 00:28:56 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0005-train-val-dataset.hdf5 [2020-11-12 00:28:56 main:474] : INFO : Configuration: [2020-11-12 00:28:56 main:475] : INFO : Model type: LSTM [2020-11-12 00:28:56 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-12 00:28:56 main:477] : INFO : Max Epochs: 192 [2020-11-12 00:28:56 main:478] : INFO : Batch Size: 32 [2020-11-12 00:28:56 main:479] : INFO : Learning Rate: 0.001 [2020-11-12 00:28:56 main:480] : INFO : Patience: 10 [2020-11-12 00:28:56 main:481] : INFO : Hidden Width: 64 [2020-11-12 00:28:56 main:482] : INFO : # Recurrent Layers: 4 [2020-11-12 00:28:56 main:483] : INFO : # Backend Layers: 2 [2020-11-12 00:28:56 main:484] : INFO : # Threads: 1 [2020-11-12 00:28:56 main:486] : INFO : Preparing Dataset [2020-11-12 00:28:56 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0005-train-val-dataset.hdf5 into memory [2020-11-12 00:28:56 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0005-train-val-dataset.hdf5 into memory [2020-11-12 00:28:58 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-12 00:28:58 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0005-train-val-dataset.hdf5 into memory [2020-11-12 00:28:58 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0005-train-val-dataset.hdf5 into memory [2020-11-12 00:28:58 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-12 00:28:58 main:494] : INFO : Creating Model [2020-11-12 00:28:58 main:507] : INFO : Preparing config file [2020-11-12 00:28:58 main:519] : INFO : Creating new config file [2020-11-12 00:28:59 main:559] : INFO : Loading DataLoader into Memory [2020-11-12 00:28:59 main:562] : INFO : Starting Training [2020-11-12 00:29:15 main:574] : INFO : Epoch 1 | loss: 0.0664447 | val_loss: 0.0661268 | Time: 15997.6 ms [2020-11-12 00:29:30 main:574] : INFO : Epoch 2 | loss: 0.0655438 | val_loss: 0.0642286 | Time: 15753.9 ms [2020-11-12 00:29:46 main:574] : INFO : Epoch 3 | loss: 0.0630423 | val_loss: 0.061338 | Time: 15731.5 ms [2020-11-12 00:30:02 main:574] : INFO : Epoch 4 | loss: 0.0599698 | val_loss: 0.0589677 | Time: 16042.3 ms [2020-11-12 00:30:18 main:574] : INFO : Epoch 5 | loss: 0.0579721 | val_loss: 0.0573553 | Time: 15904.9 ms [2020-11-12 00:30:34 main:574] : INFO : Epoch 6 | loss: 0.0565456 | val_loss: 0.055981 | Time: 15547.4 ms [2020-11-12 00:30:49 main:574] : INFO : Epoch 7 | loss: 0.0553406 | val_loss: 0.0548088 | Time: 15575.1 ms [2020-11-12 00:31:05 main:574] : INFO : Epoch 8 | loss: 0.0542071 | val_loss: 0.0537876 | Time: 15576.9 ms [2020-11-12 00:31:20 main:574] : INFO : Epoch 9 | loss: 0.0531246 | val_loss: 0.0528499 | Time: 15563.5 ms [2020-11-12 00:31:36 main:574] : INFO : Epoch 10 | loss: 0.0520414 | val_loss: 0.0516478 | Time: 15564.2 ms [2020-11-12 00:31:51 main:574] : INFO : Epoch 11 | loss: 0.0510185 | val_loss: 0.0505286 | Time: 15553.3 ms [2020-11-12 00:32:07 main:574] : INFO : Epoch 12 | loss: 0.0497899 | val_loss: 0.0494125 | Time: 15572 ms [2020-11-12 00:32:23 main:574] : INFO : Epoch 13 | loss: 0.0485286 | val_loss: 0.0484166 | Time: 15568.3 ms [2020-11-12 00:32:38 main:574] : INFO : Epoch 14 | loss: 0.0472566 | val_loss: 0.0468656 | Time: 15567.1 ms [2020-11-12 00:32:54 main:574] : INFO : Epoch 15 | loss: 0.0455976 | val_loss: 0.045239 | Time: 15588 ms [2020-11-12 00:33:09 main:574] : INFO : Epoch 16 | loss: 0.0438406 | val_loss: 0.0436688 | Time: 15573.7 ms [2020-11-12 00:33:25 main:574] : INFO : Epoch 17 | loss: 0.0417675 | val_loss: 0.0416342 | Time: 15534.4 ms [2020-11-12 00:33:41 main:574] : INFO : Epoch 18 | loss: 0.0394126 | val_loss: 0.0394168 | Time: 15544.7 ms [2020-11-12 00:33:56 main:574] : INFO : Epoch 19 | loss: 0.0365879 | val_loss: 0.0367609 | Time: 15555.1 ms [2020-11-12 00:34:12 main:574] : INFO : Epoch 20 | loss: 0.0339173 | val_loss: 0.0329154 | Time: 15555 ms [2020-11-12 00:34:27 main:574] : INFO : Epoch 21 | loss: 0.0307531 | val_loss: 0.0313651 | Time: 15547.6 ms [2020-11-12 00:34:43 main:574] : INFO : Epoch 22 | loss: 0.0280371 | val_loss: 0.0276828 | Time: 15594 ms [2020-11-12 00:34:58 main:574] : INFO : Epoch 23 | loss: 0.029132 | val_loss: 0.0282809 | Time: 15560.4 ms [2020-11-12 00:35:14 main:574] : INFO : Epoch 24 | loss: 0.0292614 | val_loss: 0.0285361 | Time: 15521.1 ms [2020-11-12 00:35:29 main:574] : INFO : Epoch 25 | loss: 0.0222952 | val_loss: 0.0238111 | Time: 15541.9 ms [2020-11-12 00:35:45 main:574] : INFO : Epoch 26 | loss: 0.0198697 | val_loss: 0.0258247 | Time: 15550.2 ms [2020-11-12 00:36:01 main:574] : INFO : Epoch 27 | loss: 0.0183817 | val_loss: 0.0335756 | Time: 15612 ms [2020-11-12 00:36:16 main:574] : INFO : Epoch 28 | loss: 0.0217945 | val_loss: 0.0160213 | Time: 15538.9 ms [2020-11-12 00:36:32 main:574] : INFO : Epoch 29 | loss: 0.0128198 | val_loss: 0.0134855 | Time: 15552.2 ms [2020-11-12 00:36:47 main:574] : INFO : Epoch 30 | loss: 0.0144462 | val_loss: 0.0143067 | Time: 15579.9 ms [2020-11-12 00:37:03 main:574] : INFO : Epoch 31 | loss: 0.0113971 | val_loss: 0.0112096 | Time: 15527.8 ms [2020-11-12 00:37:18 main:574] : INFO : Epoch 32 | loss: 0.0100258 | val_loss: 0.0100394 | Time: 15538.7 ms [2020-11-12 00:37:34 main:574] : INFO : Epoch 33 | loss: 0.00937428 | val_loss: 0.00929288 | Time: 15530.7 ms [2020-11-12 00:37:50 main:574] : INFO : Epoch 34 | loss: 0.00912143 | val_loss: 0.00946663 | Time: 15517.4 ms [2020-11-12 00:38:05 main:574] : INFO : Epoch 35 | loss: 0.00909237 | val_loss: 0.0091232 | Time: 15550.7 ms [2020-11-12 00:38:21 main:574] : INFO : Epoch 36 | loss: 0.00826786 | val_loss: 0.00822086 | Time: 15523 ms [2020-11-12 00:38:36 main:574] : INFO : Epoch 37 | loss: 0.00791272 | val_loss: 0.00801982 | Time: 15555.3 ms [2020-11-12 00:38:52 main:574] : INFO : Epoch 38 | loss: 0.00757361 | val_loss: 0.00759192 | Time: 15552.8 ms [2020-11-12 00:39:07 main:574] : INFO : Epoch 39 | loss: 0.0120505 | val_loss: 0.00847169 | Time: 15533.1 ms [2020-11-12 00:39:23 main:574] : INFO : Epoch 40 | loss: 0.0206797 | val_loss: 0.0106938 | Time: 15567.8 ms [2020-11-12 00:39:38 main:574] : INFO : Epoch 41 | loss: 0.00868342 | val_loss: 0.00796171 | Time: 15553.2 ms [2020-11-12 00:39:54 main:574] : INFO : Epoch 42 | loss: 0.00744532 | val_loss: 0.00733813 | Time: 15545.3 ms [2020-11-12 00:40:10 main:574] : INFO : Epoch 43 | loss: 0.00701619 | val_loss: 0.0070694 | Time: 15550.6 ms [2020-11-12 00:40:25 main:574] : INFO : Epoch 44 | loss: 0.0067144 | val_loss: 0.00666045 | Time: 15580.6 ms [2020-11-12 00:40:41 main:574] : INFO : Epoch 45 | loss: 0.00645002 | val_loss: 0.00638298 | Time: 15543.1 ms [2020-11-12 00:40:56 main:574] : INFO : Epoch 46 | loss: 0.00622885 | val_loss: 0.00660178 | Time: 15555.9 ms [2020-11-12 00:41:12 main:574] : INFO : Epoch 47 | loss: 0.00689526 | val_loss: 0.00611585 | Time: 15573.8 ms [2020-11-12 00:41:28 main:574] : INFO : Epoch 48 | loss: 0.00590167 | val_loss: 0.00579629 | Time: 15774 ms [2020-11-12 00:41:43 main:574] : INFO : Epoch 49 | loss: 0.00567614 | val_loss: 0.0055981 | Time: 15719.2 ms [2020-11-12 00:41:59 main:574] : INFO : Epoch 50 | loss: 0.00549254 | val_loss: 0.00541622 | Time: 15728.7 ms [2020-11-12 00:42:15 main:574] : INFO : Epoch 51 | loss: 0.00532095 | val_loss: 0.00524932 | Time: 15711.1 ms [2020-11-12 00:42:31 main:574] : INFO : Epoch 52 | loss: 0.00515588 | val_loss: 0.00508341 | Time: 15724.6 ms [2020-11-12 00:42:46 main:574] : INFO : Epoch 53 | loss: 0.00534009 | val_loss: 0.00494828 | Time: 15767.4 ms [2020-11-12 00:43:02 main:574] : INFO : Epoch 54 | loss: 0.00485935 | val_loss: 0.00477146 | Time: 15581.3 ms [2020-11-12 00:43:18 main:574] : INFO : Epoch 55 | loss: 0.00470712 | val_loss: 0.00624615 | Time: 15568.3 ms [2020-11-12 00:43:33 main:574] : INFO : Epoch 56 | loss: 0.00504467 | val_loss: 0.00451045 | Time: 15538.7 ms [2020-11-12 00:43:49 main:574] : INFO : Epoch 57 | loss: 0.00443331 | val_loss: 0.00434097 | Time: 15540.6 ms [2020-11-12 00:44:04 main:574] : INFO : Epoch 58 | loss: 0.00428277 | val_loss: 0.00421423 | Time: 15588 ms [2020-11-12 00:44:20 main:574] : INFO : Epoch 59 | loss: 0.00413662 | val_loss: 0.00405187 | Time: 15533.6 ms [2020-11-12 00:44:35 main:574] : INFO : Epoch 60 | loss: 0.00399653 | val_loss: 0.00391466 | Time: 15563 ms [2020-11-12 00:44:51 main:574] : INFO : Epoch 61 | loss: 0.00386322 | val_loss: 0.00377987 | Time: 15543.7 ms [2020-11-12 00:45:07 main:574] : INFO : Epoch 62 | loss: 0.0037325 | val_loss: 0.00365247 | Time: 15686.3 ms [2020-11-12 00:45:22 main:574] : INFO : Epoch 63 | loss: 0.00360446 | val_loss: 0.00352928 | Time: 15585.6 ms [2020-11-12 00:45:38 main:574] : INFO : Epoch 64 | loss: 0.00348705 | val_loss: 0.0033975 | Time: 15621.2 ms [2020-11-12 00:45:54 main:574] : INFO : Epoch 65 | loss: 0.00335718 | val_loss: 0.00327952 | Time: 15729.8 ms [2020-11-12 00:46:09 main:574] : INFO : Epoch 66 | loss: 0.00324882 | val_loss: 0.00317174 | Time: 15631.1 ms [2020-11-12 00:46:25 main:574] : INFO : Epoch 67 | loss: 0.00312956 | val_loss: 0.0030413 | Time: 15554 ms [2020-11-12 00:46:40 main:574] : INFO : Epoch 68 | loss: 0.00300422 | val_loss: 0.0029278 | Time: 15543.1 ms [2020-11-12 00:46:56 main:574] : INFO : Epoch 69 | loss: 0.00291396 | val_loss: 0.00281799 | Time: 15760.7 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: GeForce GTX 750 Ti) [2020-11-12 00:47:49 main:435] : INFO : Set logging level to 1 [2020-11-12 00:47:49 main:441] : INFO : Running in BOINC Client mode [2020-11-12 00:47:49 main:444] : INFO : Resolving all filenames [2020-11-12 00:47:49 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0005-train-val-dataset.hdf5 (exists = 1) [2020-11-12 00:47:49 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0005-1605109696-16486-0_0_r1493303898_1 (exists = 1) [2020-11-12 00:47:49 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0005-1605109696-16486-0_0_r1493303898_0 (exists = 0) [2020-11-12 00:47:49 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-12 00:47:49 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2020-11-12 00:47:49 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0005-train-val-dataset.hdf5 [2020-11-12 00:47:49 main:474] : INFO : Configuration: [2020-11-12 00:47:49 main:475] : INFO : Model type: LSTM [2020-11-12 00:47:49 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-12 00:47:49 main:477] : INFO : Max Epochs: 192 [2020-11-12 00:47:49 main:478] : INFO : Batch Size: 32 [2020-11-12 00:47:49 main:479] : INFO : Learning Rate: 0.001 [2020-11-12 00:47:49 main:480] : INFO : Patience: 10 [2020-11-12 00:47:49 main:481] : INFO : Hidden Width: 64 [2020-11-12 00:47:49 main:482] : INFO : # Recurrent Layers: 4 [2020-11-12 00:47:49 main:483] : INFO : # Backend Layers: 2 [2020-11-12 00:47:49 main:484] : INFO : # Threads: 1 [2020-11-12 00:47:49 main:486] : INFO : Preparing Dataset [2020-11-12 00:47:49 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0005-train-val-dataset.hdf5 into memory [2020-11-12 00:47:49 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0005-train-val-dataset.hdf5 into memory [2020-11-12 00:47:52 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-12 00:47:52 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0005-train-val-dataset.hdf5 into memory [2020-11-12 00:47:52 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0005-train-val-dataset.hdf5 into memory [2020-11-12 00:47:52 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-12 00:47:52 main:494] : INFO : Creating Model [2020-11-12 00:47:52 main:507] : INFO : Preparing config file [2020-11-12 00:47:52 main:511] : INFO : Found checkpoint, attempting to load... [2020-11-12 00:47:52 main:512] : INFO : Loading config [2020-11-12 00:47:52 main:514] : INFO : Loading state [2020-11-12 00:47:53 main:559] : INFO : Loading DataLoader into Memory [2020-11-12 00:47:53 main:562] : INFO : Starting Training [2020-11-12 00:48:11 main:574] : INFO : Epoch 65 | loss: 0.00319683 | val_loss: 0.00284326 | Time: 17822.6 ms [2020-11-12 00:48:27 main:574] : INFO : Epoch 66 | loss: 0.00263395 | val_loss: 0.00239133 | Time: 16696.7 ms [2020-11-12 00:48:44 main:574] : INFO : Epoch 67 | loss: 0.00224344 | val_loss: 0.00205662 | Time: 16563.7 ms [2020-11-12 00:49:01 main:574] : INFO : Epoch 68 | loss: 0.00194573 | val_loss: 0.0017955 | Time: 16537.4 ms [2020-11-12 00:49:18 main:574] : INFO : Epoch 69 | loss: 0.00171131 | val_loss: 0.00158621 | Time: 17274.4 ms [2020-11-12 00:49:34 main:574] : INFO : Epoch 70 | loss: 0.00152284 | val_loss: 0.00141925 | Time: 16150.7 ms [2020-11-12 00:49:50 main:574] : INFO : Epoch 71 | loss: 0.00136921 | val_loss: 0.00128247 | Time: 15949 ms [2020-11-12 00:50:06 main:574] : INFO : Epoch 72 | loss: 0.00124054 | val_loss: 0.00116625 | Time: 15902.2 ms [2020-11-12 00:50:22 main:574] : INFO : Epoch 73 | loss: 0.0011306 | val_loss: 0.00106785 | Time: 16101.3 ms [2020-11-12 00:50:38 main:574] : INFO : Epoch 74 | loss: 0.00104012 | val_loss: 0.000984866 | Time: 15694.4 ms [2020-11-12 00:50:53 main:574] : INFO : Epoch 75 | loss: 0.000959834 | val_loss: 0.000907592 | Time: 15770.7 ms [2020-11-12 00:51:09 main:574] : INFO : Epoch 76 | loss: 0.000889868 | val_loss: 0.000847588 | Time: 15653.8 ms [2020-11-12 00:51:25 main:574] : INFO : Epoch 77 | loss: 0.000828617 | val_loss: 0.000791047 | Time: 16032.8 ms [2020-11-12 00:51:42 main:574] : INFO : Epoch 78 | loss: 0.00077551 | val_loss: 0.000738906 | Time: 17104 ms [2020-11-12 00:51:59 main:574] : INFO : Epoch 79 | loss: 0.000726803 | val_loss: 0.000696883 | Time: 17163.7 ms [2020-11-12 00:52:16 main:574] : INFO : Epoch 80 | loss: 0.000683521 | val_loss: 0.000654269 | Time: 16753.6 ms [2020-11-12 00:52:33 main:574] : INFO : Epoch 81 | loss: 0.000642368 | val_loss: 0.000616707 | Time: 16760.3 ms [2020-11-12 00:52:49 main:574] : INFO : Epoch 82 | loss: 0.000606995 | val_loss: 0.00058251 | Time: 16108 ms [2020-11-12 00:53:06 main:574] : INFO : Epoch 83 | loss: 0.000574872 | val_loss: 0.000556641 | Time: 16975.9 ms [2020-11-12 00:53:22 main:574] : INFO : Epoch 84 | loss: 0.000545124 | val_loss: 0.000524309 | Time: 16162.8 ms [2020-11-12 00:53:39 main:574] : INFO : Epoch 85 | loss: 0.000517861 | val_loss: 0.000501405 | Time: 16280.2 ms [2020-11-12 00:53:55 main:574] : INFO : Epoch 86 | loss: 0.000494367 | val_loss: 0.000482683 | Time: 16033.4 ms [2020-11-12 00:54:11 main:574] : INFO : Epoch 87 | loss: 0.00047192 | val_loss: 0.000457372 | Time: 15836 ms [2020-11-12 00:54:27 main:574] : INFO : Epoch 88 | loss: 0.000450668 | val_loss: 0.000438483 | Time: 16156.3 ms [2020-11-12 00:54:43 main:574] : INFO : Epoch 89 | loss: 0.000431044 | val_loss: 0.000422176 | Time: 15925.1 ms [2020-11-12 00:54:59 main:574] : INFO : Epoch 90 | loss: 0.000413688 | val_loss: 0.000402563 | Time: 16666.1 ms [2020-11-12 00:55:15 main:574] : INFO : Epoch 91 | loss: 0.000397961 | val_loss: 0.000387553 | Time: 15935.9 ms [2020-11-12 00:55:31 main:574] : INFO : Epoch 92 | loss: 0.000381405 | val_loss: 0.000371243 | Time: 15829.7 ms [2020-11-12 00:55:47 main:574] : INFO : Epoch 93 | loss: 0.00036739 | val_loss: 0.000358433 | Time: 15661.1 ms [2020-11-12 00:56:03 main:574] : INFO : Epoch 94 | loss: 0.000354331 | val_loss: 0.000344862 | Time: 16222.1 ms [2020-11-12 00:56:20 main:574] : INFO : Epoch 95 | loss: 0.000341135 | val_loss: 0.000329956 | Time: 16671.4 ms [2020-11-12 00:56:36 main:574] : INFO : Epoch 96 | loss: 0.00032961 | val_loss: 0.000320938 | Time: 15887.6 ms [2020-11-12 00:56:51 main:574] : INFO : Epoch 97 | loss: 0.000318459 | val_loss: 0.000313919 | Time: 15497.4 ms [2020-11-12 00:57:07 main:574] : INFO : Epoch 98 | loss: 0.000307062 | val_loss: 0.000300729 | Time: 15491.3 ms [2020-11-12 00:57:22 main:574] : INFO : Epoch 99 | loss: 0.000297065 | val_loss: 0.00028888 | Time: 15491.6 ms [2020-11-12 00:57:39 main:574] : INFO : Epoch 100 | loss: 0.00028779 | val_loss: 0.000282756 | Time: 17287.4 ms [2020-11-12 00:57:55 main:574] : INFO : Epoch 101 | loss: 0.000278044 | val_loss: 0.000272544 | Time: 15765.4 ms [2020-11-12 00:58:11 main:574] : INFO : Epoch 102 | loss: 0.00026986 | val_loss: 0.000261811 | Time: 15434.7 ms [2020-11-12 00:58:26 main:574] : INFO : Epoch 103 | loss: 0.000260897 | val_loss: 0.000254149 | Time: 15453.5 ms [2020-11-12 00:58:42 main:574] : INFO : Epoch 104 | loss: 0.000253117 | val_loss: 0.00024799 | Time: 15419 ms [2020-11-12 00:58:57 main:574] : INFO : Epoch 105 | loss: 0.000246183 | val_loss: 0.000240574 | Time: 15412.8 ms [2020-11-12 00:59:12 main:574] : INFO : Epoch 106 | loss: 0.000238488 | val_loss: 0.000232448 | Time: 15401.8 ms [2020-11-12 00:59:28 main:574] : INFO : Epoch 107 | loss: 0.000231727 | val_loss: 0.000226946 | Time: 15404.6 ms [2020-11-12 00:59:43 main:574] : INFO : Epoch 108 | loss: 0.000225518 | val_loss: 0.000219196 | Time: 15446.3 ms [2020-11-12 00:59:59 main:574] : INFO : Epoch 109 | loss: 0.000219474 | val_loss: 0.00021419 | Time: 15428.6 ms [2020-11-12 01:00:14 main:574] : INFO : Epoch 110 | loss: 0.000213227 | val_loss: 0.000208844 | Time: 15500.2 ms [2020-11-12 01:00:30 main:574] : INFO : Epoch 111 | loss: 0.000207546 | val_loss: 0.000202213 | Time: 15435.9 ms [2020-11-12 01:00:45 main:574] : INFO : Epoch 112 | loss: 0.000201914 | val_loss: 0.000196511 | Time: 15441.2 ms [2020-11-12 01:01:01 main:574] : INFO : Epoch 113 | loss: 0.000196792 | val_loss: 0.000194702 | Time: 15463.3 ms [2020-11-12 01:01:16 main:574] : INFO : Epoch 114 | loss: 0.000192016 | val_loss: 0.000187825 | Time: 15425.7 ms [2020-11-12 01:01:31 main:574] : INFO : Epoch 115 | loss: 0.000187522 | val_loss: 0.00018314 | Time: 15407.6 ms [2020-11-12 01:01:47 main:574] : INFO : Epoch 116 | loss: 0.00018266 | val_loss: 0.000179262 | Time: 15407.4 ms [2020-11-12 01:02:02 main:574] : INFO : Epoch 117 | loss: 0.000179144 | val_loss: 0.000175635 | Time: 15477.9 ms [2020-11-12 01:02:18 main:574] : INFO : Epoch 118 | loss: 0.000174564 | val_loss: 0.000171046 | Time: 15429.6 ms [2020-11-12 01:02:33 main:574] : INFO : Epoch 119 | loss: 0.000171186 | val_loss: 0.000169508 | Time: 15437.3 ms [2020-11-12 01:02:49 main:574] : INFO : Epoch 120 | loss: 0.000167422 | val_loss: 0.000166852 | Time: 15683.8 ms [2020-11-12 01:03:04 main:574] : INFO : Epoch 121 | loss: 0.000162872 | val_loss: 0.00015999 | Time: 15485.9 ms [2020-11-12 01:03:20 main:574] : INFO : Epoch 122 | loss: 0.000159485 | val_loss: 0.000157077 | Time: 15418.4 ms [2020-11-12 01:03:35 main:574] : INFO : Epoch 123 | loss: 0.000156464 | val_loss: 0.000153965 | Time: 15390.7 ms [2020-11-12 01:03:51 main:574] : INFO : Epoch 124 | loss: 0.000153526 | val_loss: 0.000152354 | Time: 15418.4 ms [2020-11-12 01:04:06 main:574] : INFO : Epoch 125 | loss: 0.000150573 | val_loss: 0.000147263 | Time: 15401.8 ms [2020-11-12 01:04:22 main:574] : INFO : Epoch 126 | loss: 0.000147577 | val_loss: 0.000144399 | Time: 15406.6 ms [2020-11-12 01:04:37 main:574] : INFO : Epoch 127 | loss: 0.00014481 | val_loss: 0.000142802 | Time: 15425.3 ms [2020-11-12 01:04:52 main:574] : INFO : Epoch 128 | loss: 0.000141976 | val_loss: 0.00013977 | Time: 15426.3 ms [2020-11-12 01:05:08 main:574] : INFO : Epoch 129 | loss: 0.000139312 | val_loss: 0.000136584 | Time: 15416.2 ms [2020-11-12 01:05:23 main:574] : INFO : Epoch 130 | loss: 0.00013617 | val_loss: 0.000133995 | Time: 15398.4 ms [2020-11-12 01:05:39 main:574] : INFO : Epoch 131 | loss: 0.000134245 | val_loss: 0.000131306 | Time: 15429.3 ms [2020-11-12 01:05:54 main:574] : INFO : Epoch 132 | loss: 0.00013213 | val_loss: 0.000130131 | Time: 15434.7 ms [2020-11-12 01:06:10 main:574] : INFO : Epoch 133 | loss: 0.000129432 | val_loss: 0.000127248 | Time: 15416.3 ms [2020-11-12 01:06:25 main:574] : INFO : Epoch 134 | loss: 0.000127485 | val_loss: 0.000125202 | Time: 15425.5 ms [2020-11-12 01:06:41 main:574] : INFO : Epoch 135 | loss: 0.000124887 | val_loss: 0.000122692 | Time: 15455.2 ms [2020-11-12 01:06:56 main:574] : INFO : Epoch 136 | loss: 0.000123413 | val_loss: 0.000122254 | Time: 15433.9 ms [2020-11-12 01:07:11 main:574] : INFO : Epoch 137 | loss: 0.000121349 | val_loss: 0.000120339 | Time: 15414.1 ms [2020-11-12 01:07:27 main:574] : INFO : Epoch 138 | loss: 0.000119326 | val_loss: 0.000116947 | Time: 15386.5 ms [2020-11-12 01:07:42 main:574] : INFO : Epoch 139 | loss: 0.000117602 | val_loss: 0.000116247 | Time: 15428.7 ms [2020-11-12 01:07:58 main:574] : INFO : Epoch 140 | loss: 0.000116295 | val_loss: 0.000113863 | Time: 15447.7 ms [2020-11-12 01:08:13 main:574] : INFO : Epoch 141 | loss: 0.00011352 | val_loss: 0.000111546 | Time: 15402.6 ms [2020-11-12 01:08:29 main:574] : INFO : Epoch 142 | loss: 0.000112946 | val_loss: 0.000109554 | Time: 15445.2 ms [2020-11-12 01:08:44 main:574] : INFO : Epoch 143 | loss: 0.00011092 | val_loss: 0.000108849 | Time: 15413.6 ms [2020-11-12 01:08:59 main:574] : INFO : Epoch 144 | loss: 0.000108743 | val_loss: 0.000108035 | Time: 15418.9 ms [2020-11-12 01:09:15 main:574] : INFO : Epoch 145 | loss: 0.000107313 | val_loss: 0.000105621 | Time: 15407.5 ms [2020-11-12 01:09:30 main:574] : INFO : Epoch 146 | loss: 0.000105522 | val_loss: 0.000103816 | Time: 15448.8 ms [2020-11-12 01:09:46 main:574] : INFO : Epoch 147 | loss: 0.000104361 | val_loss: 0.000103712 | Time: 15408.3 ms [2020-11-12 01:10:01 main:574] : INFO : Epoch 148 | loss: 0.000103215 | val_loss: 0.000100362 | Time: 15419.4 ms [2020-11-12 01:10:17 main:574] : INFO : Epoch 149 | loss: 0.000101668 | val_loss: 0.000101982 | Time: 15425.1 ms [2020-11-12 01:10:32 main:574] : INFO : Epoch 150 | loss: 9.98787e-05 | val_loss: 9.93823e-05 | Time: 15451.4 ms [2020-11-12 01:10:47 main:574] : INFO : Epoch 151 | loss: 9.89093e-05 | val_loss: 9.79148e-05 | Time: 15394 ms [2020-11-12 01:11:03 main:574] : INFO : Epoch 152 | loss: 9.75212e-05 | val_loss: 9.64106e-05 | Time: 15435.3 ms [2020-11-12 01:11:18 main:574] : INFO : Epoch 153 | loss: 9.61012e-05 | val_loss: 9.50633e-05 | Time: 15409.3 ms [2020-11-12 01:11:34 main:574] : INFO : Epoch 154 | loss: 9.5339e-05 | val_loss: 9.42309e-05 | Time: 15423 ms [2020-11-12 01:11:49 main:574] : INFO : Epoch 155 | loss: 9.40458e-05 | val_loss: 9.33316e-05 | Time: 15409.9 ms [2020-11-12 01:12:05 main:574] : INFO : Epoch 156 | loss: 9.27115e-05 | val_loss: 9.08966e-05 | Time: 15429.7 ms [2020-11-12 01:12:20 main:574] : INFO : Epoch 157 | loss: 9.14577e-05 | val_loss: 9.09426e-05 | Time: 15416.5 ms [2020-11-12 01:12:36 main:574] : INFO : Epoch 158 | loss: 9.06901e-05 | val_loss: 8.81277e-05 | Time: 15445 ms [2020-11-12 01:12:51 main:574] : INFO : Epoch 159 | loss: 8.91487e-05 | val_loss: 8.89203e-05 | Time: 15438.8 ms [2020-11-12 01:13:06 main:574] : INFO : Epoch 160 | loss: 8.83377e-05 | val_loss: 8.75743e-05 | Time: 15427.1 ms [2020-11-12 01:13:22 main:574] : INFO : Epoch 161 | loss: 8.6862e-05 | val_loss: 8.59641e-05 | Time: 15490.7 ms [2020-11-12 01:13:37 main:574] : INFO : Epoch 162 | loss: 8.59324e-05 | val_loss: 8.48677e-05 | Time: 15395.3 ms [2020-11-12 01:13:53 main:574] : INFO : Epoch 163 | loss: 8.50357e-05 | val_loss: 8.41452e-05 | Time: 15419.6 ms [2020-11-12 01:14:08 main:574] : INFO : Epoch 164 | loss: 8.46954e-05 | val_loss: 8.26685e-05 | Time: 15450.4 ms [2020-11-12 01:14:24 main:574] : INFO : Epoch 165 | loss: 8.29673e-05 | val_loss: 8.29134e-05 | Time: 15429.7 ms [2020-11-12 01:14:39 main:574] : INFO : Epoch 166 | loss: 8.2105e-05 | val_loss: 8.13946e-05 | Time: 15431.4 ms [2020-11-12 01:14:55 main:574] : INFO : Epoch 167 | loss: 8.10563e-05 | val_loss: 8.12758e-05 | Time: 15403.9 ms [2020-11-12 01:15:10 main:574] : INFO : Epoch 168 | loss: 8.09702e-05 | val_loss: 8.07028e-05 | Time: 15434.2 ms [2020-11-12 01:15:25 main:574] : INFO : Epoch 169 | loss: 7.93242e-05 | val_loss: 7.99378e-05 | Time: 15413.2 ms [2020-11-12 01:15:41 main:574] : INFO : Epoch 170 | loss: 7.8804e-05 | val_loss: 7.90758e-05 | Time: 15424.9 ms [2020-11-12 01:15:56 main:574] : INFO : Epoch 171 | loss: 7.7632e-05 | val_loss: 7.59824e-05 | Time: 15415.2 ms [2020-11-12 01:16:12 main:574] : INFO : Epoch 172 | loss: 7.67404e-05 | val_loss: 7.68417e-05 | Time: 15444.2 ms [2020-11-12 01:16:27 main:574] : INFO : Epoch 173 | loss: 7.64156e-05 | val_loss: 7.55413e-05 | Time: 15422.2 ms [2020-11-12 01:16:43 main:574] : INFO : Epoch 174 | loss: 7.53995e-05 | val_loss: 7.35647e-05 | Time: 15406.7 ms [2020-11-12 01:16:58 main:574] : INFO : Epoch 175 | loss: 7.44343e-05 | val_loss: 7.37682e-05 | Time: 15434.1 ms [2020-11-12 01:17:13 main:574] : INFO : Epoch 176 | loss: 7.39182e-05 | val_loss: 7.25638e-05 | Time: 15409.4 ms [2020-11-12 01:17:29 main:574] : INFO : Epoch 177 | loss: 7.27486e-05 | val_loss: 7.31083e-05 | Time: 15425.6 ms [2020-11-12 01:17:44 main:574] : INFO : Epoch 178 | loss: 7.27952e-05 | val_loss: 7.39044e-05 | Time: 15456.5 ms [2020-11-12 01:18:00 main:574] : INFO : Epoch 179 | loss: 7.12395e-05 | val_loss: 6.98478e-05 | Time: 15890.7 ms [2020-11-12 01:18:16 main:574] : INFO : Epoch 180 | loss: 7.10762e-05 | val_loss: 6.94819e-05 | Time: 15429 ms [2020-11-12 01:18:31 main:574] : INFO : Epoch 181 | loss: 7.01793e-05 | val_loss: 7.1015e-05 | Time: 15413 ms [2020-11-12 01:18:47 main:574] : INFO : Epoch 182 | loss: 6.95654e-05 | val_loss: 6.88307e-05 | Time: 15410.4 ms [2020-11-12 01:19:02 main:574] : INFO : Epoch 183 | loss: 6.8607e-05 | val_loss: 6.82319e-05 | Time: 15446 ms [2020-11-12 01:19:17 main:574] : INFO : Epoch 184 | loss: 6.81474e-05 | val_loss: 6.73337e-05 | Time: 15419.2 ms [2020-11-12 01:19:33 main:574] : INFO : Epoch 185 | loss: 6.77033e-05 | val_loss: 6.75624e-05 | Time: 15399.8 ms [2020-11-12 01:19:48 main:574] : INFO : Epoch 186 | loss: 6.69843e-05 | val_loss: 6.76095e-05 | Time: 15433.4 ms [2020-11-12 01:20:04 main:574] : INFO : Epoch 187 | loss: 6.65139e-05 | val_loss: 6.57139e-05 | Time: 15790 ms [2020-11-12 01:20:20 main:574] : INFO : Epoch 188 | loss: 6.54566e-05 | val_loss: 6.56997e-05 | Time: 15434.9 ms [2020-11-12 01:20:35 main:574] : INFO : Epoch 189 | loss: 6.49677e-05 | val_loss: 6.47109e-05 | Time: 15415.6 ms [2020-11-12 01:20:50 main:574] : INFO : Epoch 190 | loss: 6.44261e-05 | val_loss: 6.31162e-05 | Time: 15410.6 ms [2020-11-12 01:21:06 main:574] : INFO : Epoch 191 | loss: 6.3441e-05 | val_loss: 6.38137e-05 | Time: 15441.9 ms [2020-11-12 01:21:21 main:574] : INFO : Epoch 192 | loss: 6.33061e-05 | val_loss: 6.26658e-05 | Time: 15437.9 ms [2020-11-12 01:21:21 main:597] : INFO : Saving trained model to model-final.pt, val_loss 6.26658e-05 [2020-11-12 01:21:21 main:603] : INFO : Saving end state to config to file [2020-11-12 01:21:21 main:608] : INFO : Success, exiting.. 01:21:21 (5312): 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)