Task 2899331
| Name | rand_automata_0063-1604947486-21730-10_2 |
| Workunit | 1309516 |
| Created | 12 Nov 2020, 8:12:17 UTC |
| Sent | 12 Nov 2020, 8:13:50 UTC |
| Report deadline | 19 Nov 2020, 8:13:50 UTC |
| Received | 12 Nov 2020, 16:49:04 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 1545 |
| Run time | 12 min 34 sec |
| CPU time | 11 min 56 sec |
| Validate state | Valid |
| Credit | 959.40 |
| Device peak FLOPS | 4,174.60 GFLOPS |
| Application version | Machine Learning Dataset Generator (test) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 1.41 GB |
| Peak swap size | 3.04 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 970) [2020-11-12 17:35:51 main:435] : INFO : Set logging level to 1 [2020-11-12 17:35:51 main:441] : INFO : Running in BOINC Client mode [2020-11-12 17:35:51 main:444] : INFO : Resolving all filenames [2020-11-12 17:35:51 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0063-train-val-dataset.hdf5 (exists = 1) [2020-11-12 17:35:51 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0063-1604947486-21730-10_2_r898136998_1 (exists = 0) [2020-11-12 17:35:51 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0063-1604947486-21730-10_2_r898136998_0 (exists = 0) [2020-11-12 17:35:51 main:452] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0063-1604947486-21730-10 (exists = 1) [2020-11-12 17:35:51 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-12 17:35:51 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0063-train-val-dataset.hdf5 [2020-11-12 17:35:51 main:474] : INFO : Configuration: [2020-11-12 17:35:51 main:475] : INFO : Model type: LSTM [2020-11-12 17:35:51 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-12 17:35:51 main:477] : INFO : Max Epochs: 192 [2020-11-12 17:35:51 main:478] : INFO : Batch Size: 32 [2020-11-12 17:35:51 main:479] : INFO : Learning Rate: 0.001 [2020-11-12 17:35:51 main:480] : INFO : Patience: 10 [2020-11-12 17:35:51 main:481] : INFO : Hidden Width: 64 [2020-11-12 17:35:51 main:482] : INFO : # Recurrent Layers: 4 [2020-11-12 17:35:52 main:483] : INFO : # Backend Layers: 2 [2020-11-12 17:35:52 main:484] : INFO : # Threads: 1 [2020-11-12 17:35:52 main:486] : INFO : Preparing Dataset [2020-11-12 17:35:52 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0063-train-val-dataset.hdf5 into memory [2020-11-12 17:35:52 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0063-train-val-dataset.hdf5 into memory [2020-11-12 17:35:53 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-12 17:35:54 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0063-train-val-dataset.hdf5 into memory [2020-11-12 17:35:54 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0063-train-val-dataset.hdf5 into memory [2020-11-12 17:35:54 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-12 17:35:54 main:494] : INFO : Creating Model [2020-11-12 17:35:54 main:507] : INFO : Preparing config file [2020-11-12 17:35:54 main:519] : INFO : Creating new config file [2020-11-12 17:35:54 main:538] : INFO : This is a continuation WU, loading previous network [2020-11-12 17:35:55 main:559] : INFO : Loading DataLoader into Memory [2020-11-12 17:35:55 main:562] : INFO : Starting Training [2020-11-12 17:35:59 main:574] : INFO : Epoch 1 | loss: 0.0514692 | val_loss: 0.0513809 | Time: 4131.28 ms [2020-11-12 17:36:03 main:574] : INFO : Epoch 2 | loss: 0.0507833 | val_loss: 0.0511736 | Time: 3674.38 ms [2020-11-12 17:36:07 main:574] : INFO : Epoch 3 | loss: 0.0507917 | val_loss: 0.0509156 | Time: 3868.09 ms [2020-11-12 17:36:10 main:574] : INFO : Epoch 4 | loss: 0.0506933 | val_loss: 0.0513694 | Time: 3647.49 ms [2020-11-12 17:36:14 main:574] : INFO : Epoch 5 | loss: 0.0513947 | val_loss: 0.0514201 | Time: 3815.32 ms [2020-11-12 17:36:18 main:574] : INFO : Epoch 6 | loss: 0.0511411 | val_loss: 0.0511463 | Time: 3886.48 ms [2020-11-12 17:36:22 main:574] : INFO : Epoch 7 | loss: 0.0509259 | val_loss: 0.0509365 | Time: 3681.75 ms [2020-11-12 17:36:26 main:574] : INFO : Epoch 8 | loss: 0.0507361 | val_loss: 0.0507953 | Time: 3857.33 ms [2020-11-12 17:36:30 main:574] : INFO : Epoch 9 | loss: 0.0507032 | val_loss: 0.0516522 | Time: 3764.24 ms [2020-11-12 17:36:33 main:574] : INFO : Epoch 10 | loss: 0.0514254 | val_loss: 0.0514856 | Time: 3635.16 ms [2020-11-12 17:36:37 main:574] : INFO : Epoch 11 | loss: 0.0510759 | val_loss: 0.0511895 | Time: 3853.46 ms [2020-11-12 17:36:41 main:574] : INFO : Epoch 12 | loss: 0.0508784 | val_loss: 0.0510452 | Time: 3666.78 ms [2020-11-12 17:36:45 main:574] : INFO : Epoch 13 | loss: 0.050796 | val_loss: 0.0510191 | Time: 3842.24 ms [2020-11-12 17:36:49 main:574] : INFO : Epoch 14 | loss: 0.0513198 | val_loss: 0.051713 | Time: 3818.72 ms [2020-11-12 17:36:52 main:574] : INFO : Epoch 15 | loss: 0.0513817 | val_loss: 0.0514901 | Time: 3643.17 ms [2020-11-12 17:36:56 main:574] : INFO : Epoch 16 | loss: 0.0511153 | val_loss: 0.0512404 | Time: 3825.73 ms [2020-11-12 17:37:00 main:574] : INFO : Epoch 17 | loss: 0.0508406 | val_loss: 0.0509543 | Time: 3700.92 ms [2020-11-12 17:37:04 main:574] : INFO : Epoch 18 | loss: 0.0504847 | val_loss: 0.0505546 | Time: 3786.8 ms [2020-11-12 17:37:08 main:574] : INFO : Epoch 19 | loss: 0.0503085 | val_loss: 0.0505468 | Time: 3825.92 ms [2020-11-12 17:37:11 main:574] : INFO : Epoch 20 | loss: 0.0506328 | val_loss: 0.0508922 | Time: 3695.17 ms [2020-11-12 17:37:15 main:574] : INFO : Epoch 21 | loss: 0.0504046 | val_loss: 0.0506318 | Time: 3787.97 ms [2020-11-12 17:37:19 main:574] : INFO : Epoch 22 | loss: 0.050207 | val_loss: 0.0503875 | Time: 3743.43 ms [2020-11-12 17:37:23 main:574] : INFO : Epoch 23 | loss: 0.0498729 | val_loss: 0.0500835 | Time: 3632.84 ms [2020-11-12 17:37:27 main:574] : INFO : Epoch 24 | loss: 0.0493975 | val_loss: 0.0496096 | Time: 3834.45 ms [2020-11-12 17:37:30 main:574] : INFO : Epoch 25 | loss: 0.0488806 | val_loss: 0.0489878 | Time: 3640.67 ms [2020-11-12 17:37:34 main:574] : INFO : Epoch 26 | loss: 0.048428 | val_loss: 0.0487094 | Time: 3828.79 ms [2020-11-12 17:37:38 main:574] : INFO : Epoch 27 | loss: 0.0479443 | val_loss: 0.0481491 | Time: 3806.43 ms [2020-11-12 17:37:42 main:574] : INFO : Epoch 28 | loss: 0.0479705 | val_loss: 0.0482951 | Time: 3623.6 ms [2020-11-12 17:37:46 main:574] : INFO : Epoch 29 | loss: 0.0475545 | val_loss: 0.0476264 | Time: 3787.36 ms [2020-11-12 17:37:49 main:574] : INFO : Epoch 30 | loss: 0.0475631 | val_loss: 0.0481485 | Time: 3712.37 ms [2020-11-12 17:37:53 main:574] : INFO : Epoch 31 | loss: 0.0473427 | val_loss: 0.0474815 | Time: 3686.75 ms [2020-11-12 17:37:57 main:574] : INFO : Epoch 32 | loss: 0.0469739 | val_loss: 0.0474625 | Time: 3833.68 ms [2020-11-12 17:38:01 main:574] : INFO : Epoch 33 | loss: 0.0465885 | val_loss: 0.0466108 | Time: 3623.65 ms [2020-11-12 17:38:05 main:574] : INFO : Epoch 34 | loss: 0.050687 | val_loss: 0.0526453 | Time: 3826.7 ms [2020-11-12 17:38:09 main:574] : INFO : Epoch 35 | loss: 0.0520713 | val_loss: 0.0520056 | Time: 3840.98 ms [2020-11-12 17:38:12 main:574] : INFO : Epoch 36 | loss: 0.0516731 | val_loss: 0.0519269 | Time: 3646.72 ms [2020-11-12 17:38:16 main:574] : INFO : Epoch 37 | loss: 0.0515842 | val_loss: 0.0520324 | Time: 3890.12 ms [2020-11-12 17:38:20 main:574] : INFO : Epoch 38 | loss: 0.0519214 | val_loss: 0.0517085 | Time: 3707.97 ms [2020-11-12 17:38:24 main:574] : INFO : Epoch 39 | loss: 0.0514687 | val_loss: 0.0515058 | Time: 3679.9 ms [2020-11-12 17:38:28 main:574] : INFO : Epoch 40 | loss: 0.051369 | val_loss: 0.0518123 | Time: 3809.97 ms [2020-11-12 17:38:31 main:574] : INFO : Epoch 41 | loss: 0.0518233 | val_loss: 0.0522948 | Time: 3704.91 ms [2020-11-12 17:38:35 main:574] : INFO : Epoch 42 | loss: 0.0519483 | val_loss: 0.0520109 | Time: 3813.03 ms [2020-11-12 17:38:39 main:574] : INFO : Epoch 43 | loss: 0.0516626 | val_loss: 0.0518449 | Time: 3817.83 ms [2020-11-12 17:38:43 main:574] : INFO : Epoch 44 | loss: 0.0515564 | val_loss: 0.0525902 | Time: 3565.86 ms [2020-11-12 17:38:46 main:574] : INFO : Epoch 45 | loss: 0.0527889 | val_loss: 0.0527808 | Time: 3779.44 ms [2020-11-12 17:38:50 main:574] : INFO : Epoch 46 | loss: 0.052469 | val_loss: 0.0526211 | Time: 3635.35 ms [2020-11-12 17:38:54 main:574] : INFO : Epoch 47 | loss: 0.0524069 | val_loss: 0.0524991 | Time: 3755.25 ms [2020-11-12 17:38:58 main:574] : INFO : Epoch 48 | loss: 0.0534217 | val_loss: 0.0558282 | Time: 3782.76 ms [2020-11-12 17:39:02 main:574] : INFO : Epoch 49 | loss: 0.0558002 | val_loss: 0.0557345 | Time: 3634.55 ms [2020-11-12 17:39:05 main:574] : INFO : Epoch 50 | loss: 0.0556968 | val_loss: 0.0555664 | Time: 3851.74 ms [2020-11-12 17:39:09 main:574] : INFO : Epoch 51 | loss: 0.0555324 | val_loss: 0.0553745 | Time: 3803.03 ms [2020-11-12 17:39:13 main:574] : INFO : Epoch 52 | loss: 0.0553531 | val_loss: 0.0551951 | Time: 3683.11 ms [2020-11-12 17:39:17 main:574] : INFO : Epoch 53 | loss: 0.0551594 | val_loss: 0.0550269 | Time: 3843.39 ms [2020-11-12 17:39:21 main:574] : INFO : Epoch 54 | loss: 0.0550105 | val_loss: 0.0548454 | Time: 3674.42 ms [2020-11-12 17:39:25 main:574] : INFO : Epoch 55 | loss: 0.0548098 | val_loss: 0.0546298 | Time: 3858.83 ms [2020-11-12 17:39:28 main:574] : INFO : Epoch 56 | loss: 0.0547297 | val_loss: 0.054831 | Time: 3770.51 ms [2020-11-12 17:39:32 main:574] : INFO : Epoch 57 | loss: 0.0547244 | val_loss: 0.0545955 | Time: 3665.04 ms [2020-11-12 17:39:36 main:574] : INFO : Epoch 58 | loss: 0.0545263 | val_loss: 0.0543586 | Time: 3832.15 ms [2020-11-12 17:39:40 main:574] : INFO : Epoch 59 | loss: 0.0544019 | val_loss: 0.0543029 | Time: 3745.58 ms [2020-11-12 17:39:44 main:574] : INFO : Epoch 60 | loss: 0.0542867 | val_loss: 0.0541752 | Time: 3791.64 ms [2020-11-12 17:39:47 main:574] : INFO : Epoch 61 | loss: 0.054195 | val_loss: 0.0541069 | Time: 3763.95 ms [2020-11-12 17:39:51 main:574] : INFO : Epoch 62 | loss: 0.0554214 | val_loss: 0.0555682 | Time: 3653.69 ms [2020-11-12 17:39:55 main:574] : INFO : Epoch 63 | loss: 0.0554701 | val_loss: 0.0554545 | Time: 3773.97 ms [2020-11-12 17:39:59 main:574] : INFO : Epoch 64 | loss: 0.0553048 | val_loss: 0.0552793 | Time: 3883.11 ms [2020-11-12 17:40:03 main:574] : INFO : Epoch 65 | loss: 0.0551353 | val_loss: 0.0551311 | Time: 3626.6 ms [2020-11-12 17:40:06 main:574] : INFO : Epoch 66 | loss: 0.0550435 | val_loss: 0.0550573 | Time: 3793.46 ms [2020-11-12 17:40:10 main:574] : INFO : Epoch 67 | loss: 0.0548614 | val_loss: 0.0548383 | Time: 3649.44 ms [2020-11-12 17:40:14 main:574] : INFO : Epoch 68 | loss: 0.0546717 | val_loss: 0.0546381 | Time: 3838.15 ms [2020-11-12 17:40:18 main:574] : INFO : Epoch 69 | loss: 0.0544481 | val_loss: 0.0544579 | Time: 3822.28 ms [2020-11-12 17:40:22 main:574] : INFO : Epoch 70 | loss: 0.0542651 | val_loss: 0.0542578 | Time: 3604.9 ms [2020-11-12 17:40:26 main:574] : INFO : Epoch 71 | loss: 0.054028 | val_loss: 0.0539618 | Time: 3904.84 ms [2020-11-12 17:40:29 main:574] : INFO : Epoch 72 | loss: 0.0537655 | val_loss: 0.0537986 | Time: 3779.44 ms [2020-11-12 17:40:33 main:574] : INFO : Epoch 73 | loss: 0.0535739 | val_loss: 0.0535771 | Time: 3688.21 ms [2020-11-12 17:40:37 main:574] : INFO : Epoch 74 | loss: 0.0534406 | val_loss: 0.0534609 | Time: 3831.39 ms [2020-11-12 17:40:41 main:574] : INFO : Epoch 75 | loss: 0.053187 | val_loss: 0.0532995 | Time: 3601.38 ms [2020-11-12 17:40:45 main:574] : INFO : Epoch 76 | loss: 0.0531335 | val_loss: 0.0532348 | Time: 3858.73 ms [2020-11-12 17:40:48 main:574] : INFO : Epoch 77 | loss: 0.0529303 | val_loss: 0.053024 | Time: 3774.12 ms [2020-11-12 17:40:52 main:574] : INFO : Epoch 78 | loss: 0.052628 | val_loss: 0.0526971 | Time: 3610.69 ms [2020-11-12 17:40:56 main:574] : INFO : Epoch 79 | loss: 0.0524206 | val_loss: 0.0526238 | Time: 3825.15 ms [2020-11-12 17:41:00 main:574] : INFO : Epoch 80 | loss: 0.0522057 | val_loss: 0.0522969 | Time: 3740.72 ms [2020-11-12 17:41:04 main:574] : INFO : Epoch 81 | loss: 0.0519071 | val_loss: 0.0519951 | Time: 3782.89 ms [2020-11-12 17:41:07 main:574] : INFO : Epoch 82 | loss: 0.0516857 | val_loss: 0.0518607 | Time: 3831.5 ms [2020-11-12 17:41:11 main:574] : INFO : Epoch 83 | loss: 0.0514272 | val_loss: 0.0515285 | Time: 3619.4 ms [2020-11-12 17:41:15 main:574] : INFO : Epoch 84 | loss: 0.0511191 | val_loss: 0.0512537 | Time: 3816.74 ms [2020-11-12 17:41:19 main:574] : INFO : Epoch 85 | loss: 0.0508299 | val_loss: 0.0509495 | Time: 3836.84 ms [2020-11-12 17:41:23 main:574] : INFO : Epoch 86 | loss: 0.0504606 | val_loss: 0.0507784 | Time: 3640.64 ms [2020-11-12 17:41:26 main:574] : INFO : Epoch 87 | loss: 0.0502552 | val_loss: 0.0503487 | Time: 3881.79 ms [2020-11-12 17:41:30 main:574] : INFO : Epoch 88 | loss: 0.0498358 | val_loss: 0.0498418 | Time: 3715.69 ms [2020-11-12 17:41:34 main:574] : INFO : Epoch 89 | loss: 0.050147 | val_loss: 0.0503051 | Time: 3785.45 ms [2020-11-12 17:41:38 main:574] : INFO : Epoch 90 | loss: 0.0499236 | val_loss: 0.0500517 | Time: 3795.85 ms [2020-11-12 17:41:42 main:574] : INFO : Epoch 91 | loss: 0.0495075 | val_loss: 0.0500779 | Time: 3634.69 ms [2020-11-12 17:41:45 main:574] : INFO : Epoch 92 | loss: 0.0492421 | val_loss: 0.0496008 | Time: 3833.04 ms [2020-11-12 17:41:49 main:574] : INFO : Epoch 93 | loss: 0.0492529 | val_loss: 0.0497326 | Time: 3776.24 ms [2020-11-12 17:41:53 main:574] : INFO : Epoch 94 | loss: 0.0490335 | val_loss: 0.0491495 | Time: 3636.97 ms [2020-11-12 17:41:57 main:574] : INFO : Epoch 95 | loss: 0.0488119 | val_loss: 0.0491587 | Time: 3823.81 ms [2020-11-12 17:42:01 main:574] : INFO : Epoch 96 | loss: 0.048818 | val_loss: 0.0498228 | Time: 3622.39 ms [2020-11-12 17:42:04 main:574] : INFO : Epoch 97 | loss: 0.0495313 | val_loss: 0.0508603 | Time: 3896.31 ms [2020-11-12 17:42:08 main:574] : INFO : Epoch 98 | loss: 0.050549 | val_loss: 0.0506353 | Time: 3843.84 ms [2020-11-12 17:42:12 main:574] : INFO : Epoch 99 | loss: 0.050128 | val_loss: 0.0503192 | Time: 3646.31 ms [2020-11-12 17:42:16 main:574] : INFO : Epoch 100 | loss: 0.0495392 | val_loss: 0.0495374 | Time: 3830.69 ms [2020-11-12 17:42:20 main:574] : INFO : Epoch 101 | loss: 0.0492752 | val_loss: 0.0500175 | Time: 3764.92 ms [2020-11-12 17:42:24 main:574] : INFO : Epoch 102 | loss: 0.0491575 | val_loss: 0.0508319 | Time: 3743.81 ms [2020-11-12 17:42:27 main:574] : INFO : Epoch 103 | loss: 0.0514871 | val_loss: 0.0515941 | Time: 3860.13 ms [2020-11-12 17:42:31 main:574] : INFO : Epoch 104 | loss: 0.0510626 | val_loss: 0.0512072 | Time: 3640.43 ms [2020-11-12 17:42:35 main:574] : INFO : Epoch 105 | loss: 0.0505272 | val_loss: 0.0506115 | Time: 3847.02 ms [2020-11-12 17:42:39 main:574] : INFO : Epoch 106 | loss: 0.0499487 | val_loss: 0.0501336 | Time: 3857.72 ms [2020-11-12 17:42:43 main:574] : INFO : Epoch 107 | loss: 0.0495418 | val_loss: 0.0497899 | Time: 3614.03 ms [2020-11-12 17:42:47 main:574] : INFO : Epoch 108 | loss: 0.0498292 | val_loss: 0.0502915 | Time: 3780.69 ms [2020-11-12 17:42:50 main:574] : INFO : Epoch 109 | loss: 0.0495871 | val_loss: 0.0495869 | Time: 3644.9 ms [2020-11-12 17:42:54 main:574] : INFO : Epoch 110 | loss: 0.0488468 | val_loss: 0.0489339 | Time: 3782.83 ms [2020-11-12 17:42:58 main:574] : INFO : Epoch 111 | loss: 0.0480647 | val_loss: 0.0482244 | Time: 3788.68 ms [2020-11-12 17:43:02 main:574] : INFO : Epoch 112 | loss: 0.0477974 | val_loss: 0.0488315 | Time: 3649.49 ms [2020-11-12 17:43:05 main:574] : INFO : Epoch 113 | loss: 0.0484835 | val_loss: 0.0499398 | Time: 3844.55 ms [2020-11-12 17:43:09 main:574] : INFO : Epoch 114 | loss: 0.0492367 | val_loss: 0.0491037 | Time: 3793.04 ms [2020-11-12 17:43:13 main:574] : INFO : Epoch 115 | loss: 0.0483386 | val_loss: 0.0484599 | Time: 3635.22 ms [2020-11-12 17:43:17 main:574] : INFO : Epoch 116 | loss: 0.0475452 | val_loss: 0.0478652 | Time: 3741.79 ms [2020-11-12 17:43:20 main:574] : INFO : Epoch 117 | loss: 0.0469152 | val_loss: 0.0475504 | Time: 3629.24 ms [2020-11-12 17:43:24 main:574] : INFO : Epoch 118 | loss: 0.046984 | val_loss: 0.047669 | Time: 3808.3 ms [2020-11-12 17:43:28 main:574] : INFO : Epoch 119 | loss: 0.0465487 | val_loss: 0.0467406 | Time: 3820.64 ms [2020-11-12 17:43:32 main:574] : INFO : Epoch 120 | loss: 0.0458612 | val_loss: 0.0461093 | Time: 3662.58 ms [2020-11-12 17:43:36 main:574] : INFO : Epoch 121 | loss: 0.0465063 | val_loss: 0.0482514 | Time: 3803.28 ms [2020-11-12 17:43:40 main:574] : INFO : Epoch 122 | loss: 0.0476719 | val_loss: 0.047547 | Time: 3698.91 ms [2020-11-12 17:43:43 main:574] : INFO : Epoch 123 | loss: 0.0469294 | val_loss: 0.047549 | Time: 3743.6 ms [2020-11-12 17:43:47 main:574] : INFO : Epoch 124 | loss: 0.0476985 | val_loss: 0.0484957 | Time: 3846.48 ms [2020-11-12 17:43:51 main:574] : INFO : Epoch 125 | loss: 0.0476724 | val_loss: 0.0482619 | Time: 3629.96 ms [2020-11-12 17:43:55 main:574] : INFO : Epoch 126 | loss: 0.0482505 | val_loss: 0.0486478 | Time: 3795.59 ms [2020-11-12 17:43:59 main:574] : INFO : Epoch 127 | loss: 0.0494079 | val_loss: 0.0519613 | Time: 3822.87 ms [2020-11-12 17:44:02 main:574] : INFO : Epoch 128 | loss: 0.0511457 | val_loss: 0.0511169 | Time: 3634.69 ms [2020-11-12 17:44:06 main:574] : INFO : Epoch 129 | loss: 0.0503037 | val_loss: 0.0505096 | Time: 3824.6 ms [2020-11-12 17:44:10 main:574] : INFO : Epoch 130 | loss: 0.0500224 | val_loss: 0.0502037 | Time: 3622.3 ms [2020-11-12 17:44:14 main:574] : INFO : Epoch 131 | loss: 0.0494282 | val_loss: 0.0493957 | Time: 3796.13 ms [2020-11-12 17:44:18 main:574] : INFO : Epoch 132 | loss: 0.0484095 | val_loss: 0.0484595 | Time: 3796.02 ms [2020-11-12 17:44:21 main:574] : INFO : Epoch 133 | loss: 0.0472363 | val_loss: 0.0474678 | Time: 3617.95 ms [2020-11-12 17:44:25 main:574] : INFO : Epoch 134 | loss: 0.0462314 | val_loss: 0.0467848 | Time: 3866.48 ms [2020-11-12 17:44:29 main:574] : INFO : Epoch 135 | loss: 0.0464162 | val_loss: 0.0501735 | Time: 3881.75 ms [2020-11-12 17:44:33 main:574] : INFO : Epoch 136 | loss: 0.0499992 | val_loss: 0.0501475 | Time: 3661.75 ms [2020-11-12 17:44:37 main:574] : INFO : Epoch 137 | loss: 0.0541559 | val_loss: 0.0546314 | Time: 3768.07 ms [2020-11-12 17:44:40 main:574] : INFO : Epoch 138 | loss: 0.0543373 | val_loss: 0.0544468 | Time: 3623.45 ms [2020-11-12 17:44:44 main:574] : INFO : Epoch 139 | loss: 0.0541591 | val_loss: 0.0538737 | Time: 3765.75 ms [2020-11-12 17:44:48 main:574] : INFO : Epoch 140 | loss: 0.0537666 | val_loss: 0.0538573 | Time: 3816.77 ms [2020-11-12 17:44:52 main:574] : INFO : Epoch 141 | loss: 0.0539715 | val_loss: 0.0541999 | Time: 3648.38 ms [2020-11-12 17:44:56 main:574] : INFO : Epoch 142 | loss: 0.0538958 | val_loss: 0.0537635 | Time: 3827.46 ms [2020-11-12 17:45:00 main:574] : INFO : Epoch 143 | loss: 0.0538794 | val_loss: 0.0540347 | Time: 3762.27 ms [2020-11-12 17:45:03 main:574] : INFO : Epoch 144 | loss: 0.0537633 | val_loss: 0.0537553 | Time: 3622.62 ms [2020-11-12 17:45:07 main:574] : INFO : Epoch 145 | loss: 0.053429 | val_loss: 0.0534939 | Time: 3837.1 ms [2020-11-12 17:45:11 main:574] : INFO : Epoch 146 | loss: 0.0532827 | val_loss: 0.0534595 | Time: 3655.97 ms [2020-11-12 17:45:15 main:574] : INFO : Epoch 147 | loss: 0.0531683 | val_loss: 0.0531475 | Time: 3837.18 ms [2020-11-12 17:45:19 main:574] : INFO : Epoch 148 | loss: 0.0528148 | val_loss: 0.0527625 | Time: 3821.27 ms [2020-11-12 17:45:22 main:574] : INFO : Epoch 149 | loss: 0.0524842 | val_loss: 0.0524972 | Time: 3617.42 ms [2020-11-12 17:45:26 main:574] : INFO : Epoch 150 | loss: 0.0522164 | val_loss: 0.0521372 | Time: 3797.27 ms [2020-11-12 17:45:30 main:574] : INFO : Epoch 151 | loss: 0.051762 | val_loss: 0.0516934 | Time: 3740.78 ms [2020-11-12 17:45:34 main:574] : INFO : Epoch 152 | loss: 0.0513467 | val_loss: 0.0512537 | Time: 3768.36 ms [2020-11-12 17:45:37 main:574] : INFO : Epoch 153 | loss: 0.0507948 | val_loss: 0.0508849 | Time: 3791.61 ms [2020-11-12 17:45:41 main:574] : INFO : Epoch 154 | loss: 0.0504632 | val_loss: 0.0503813 | Time: 3645.74 ms [2020-11-12 17:45:45 main:574] : INFO : Epoch 155 | loss: 0.0498822 | val_loss: 0.0500623 | Time: 3828.37 ms [2020-11-12 17:45:49 main:574] : INFO : Epoch 156 | loss: 0.0510161 | val_loss: 0.0518764 | Time: 3771.14 ms [2020-11-12 17:45:53 main:574] : INFO : Epoch 157 | loss: 0.0513422 | val_loss: 0.0513476 | Time: 3640.39 ms [2020-11-12 17:45:56 main:574] : INFO : Epoch 158 | loss: 0.051054 | val_loss: 0.0521889 | Time: 3790.93 ms [2020-11-12 17:46:00 main:574] : INFO : Epoch 159 | loss: 0.0515248 | val_loss: 0.0519673 | Time: 3660.61 ms [2020-11-12 17:46:04 main:574] : INFO : Epoch 160 | loss: 0.0512818 | val_loss: 0.0512811 | Time: 3833.27 ms [2020-11-12 17:46:08 main:574] : INFO : Epoch 161 | loss: 0.0503406 | val_loss: 0.0505621 | Time: 3832.96 ms [2020-11-12 17:46:12 main:574] : INFO : Epoch 162 | loss: 0.0498145 | val_loss: 0.050367 | Time: 3618.85 ms [2020-11-12 17:46:15 main:574] : INFO : Epoch 163 | loss: 0.0505295 | val_loss: 0.052268 | Time: 3784.47 ms [2020-11-12 17:46:19 main:574] : INFO : Epoch 164 | loss: 0.0525094 | val_loss: 0.0532441 | Time: 3841.15 ms [2020-11-12 17:46:23 main:574] : INFO : Epoch 165 | loss: 0.0527724 | val_loss: 0.0527225 | Time: 3617.44 ms [2020-11-12 17:46:27 main:574] : INFO : Epoch 166 | loss: 0.0522648 | val_loss: 0.0521997 | Time: 3795.18 ms [2020-11-12 17:46:31 main:574] : INFO : Epoch 167 | loss: 0.0518094 | val_loss: 0.0520227 | Time: 3675.84 ms [2020-11-12 17:46:35 main:574] : INFO : Epoch 168 | loss: 0.0514128 | val_loss: 0.0514116 | Time: 3911.11 ms [2020-11-12 17:46:38 main:574] : INFO : Epoch 169 | loss: 0.0510026 | val_loss: 0.0510695 | Time: 3875.08 ms [2020-11-12 17:46:42 main:574] : INFO : Epoch 170 | loss: 0.0506355 | val_loss: 0.0509046 | Time: 3627.16 ms [2020-11-12 17:46:46 main:574] : INFO : Epoch 171 | loss: 0.0504767 | val_loss: 0.0505882 | Time: 3803.22 ms [2020-11-12 17:46:50 main:574] : INFO : Epoch 172 | loss: 0.0503706 | val_loss: 0.0507523 | Time: 3730.84 ms [2020-11-12 17:46:54 main:574] : INFO : Epoch 173 | loss: 0.0499976 | val_loss: 0.0500536 | Time: 3749.48 ms [2020-11-12 17:46:57 main:574] : INFO : Epoch 174 | loss: 0.0505295 | val_loss: 0.0510874 | Time: 3820.85 ms [2020-11-12 17:47:01 main:574] : INFO : Epoch 175 | loss: 0.0503095 | val_loss: 0.0502583 | Time: 3602.42 ms [2020-11-12 17:47:05 main:574] : INFO : Epoch 176 | loss: 0.0499267 | val_loss: 0.0501855 | Time: 3877.86 ms [2020-11-12 17:47:09 main:574] : INFO : Epoch 177 | loss: 0.0493809 | val_loss: 0.0492974 | Time: 3738.61 ms [2020-11-12 17:47:12 main:574] : INFO : Epoch 178 | loss: 0.0490627 | val_loss: 0.049808 | Time: 3582.68 ms [2020-11-12 17:47:16 main:574] : INFO : Epoch 179 | loss: 0.0489989 | val_loss: 0.0491504 | Time: 3857.73 ms [2020-11-12 17:47:20 main:574] : INFO : Epoch 180 | loss: 0.0480942 | val_loss: 0.0480728 | Time: 3689.13 ms [2020-11-12 17:47:24 main:574] : INFO : Epoch 181 | loss: 0.0476144 | val_loss: 0.0485375 | Time: 3774.25 ms [2020-11-12 17:47:28 main:574] : INFO : Epoch 182 | loss: 0.0477372 | val_loss: 0.0478198 | Time: 3795.55 ms [2020-11-12 17:47:32 main:574] : INFO : Epoch 183 | loss: 0.046758 | val_loss: 0.0468009 | Time: 3603.28 ms [2020-11-12 17:47:35 main:574] : INFO : Epoch 184 | loss: 0.0471622 | val_loss: 0.04799 | Time: 3844.98 ms [2020-11-12 17:47:39 main:574] : INFO : Epoch 185 | loss: 0.0469926 | val_loss: 0.0486299 | Time: 3843.13 ms [2020-11-12 17:47:43 main:574] : INFO : Epoch 186 | loss: 0.0491623 | val_loss: 0.0491804 | Time: 3653.92 ms [2020-11-12 17:47:47 main:574] : INFO : Epoch 187 | loss: 0.0485098 | val_loss: 0.0496008 | Time: 3806.91 ms [2020-11-12 17:47:51 main:574] : INFO : Epoch 188 | loss: 0.0501846 | val_loss: 0.0514295 | Time: 3628.1 ms [2020-11-12 17:47:54 main:574] : INFO : Epoch 189 | loss: 0.0505839 | val_loss: 0.0508894 | Time: 3857.64 ms [2020-11-12 17:47:58 main:574] : INFO : Epoch 190 | loss: 0.0510164 | val_loss: 0.0517941 | Time: 3871.52 ms [2020-11-12 17:48:02 main:574] : INFO : Epoch 191 | loss: 0.0510385 | val_loss: 0.0513126 | Time: 3644.87 ms [2020-11-12 17:48:06 main:574] : INFO : Epoch 192 | loss: 0.052334 | val_loss: 0.0528962 | Time: 3814.39 ms [2020-11-12 17:48:06 main:597] : INFO : Saving trained model to model-final.pt, val_loss 0.0528962 [2020-11-12 17:48:06 main:603] : INFO : Saving end state to config to file [2020-11-12 17:48:06 main:608] : INFO : Success, exiting.. 17:48:06 (15020): 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)