Task 2922304
| Name | rand_automata_0025-1604984680-28533-6_2 |
| Workunit | 1318268 |
| Created | 13 Nov 2020, 21:50:04 UTC |
| Sent | 13 Nov 2020, 21:59:21 UTC |
| Report deadline | 20 Nov 2020, 21:59:21 UTC |
| Received | 14 Nov 2020, 4:57:44 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 1545 |
| Run time | 12 min 35 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 | 3.03 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) [2020-11-14 06:30:40 main:435] : INFO : Set logging level to 1 [2020-11-14 06:30:40 main:441] : INFO : Running in BOINC Client mode [2020-11-14 06:30:40 main:444] : INFO : Resolving all filenames [2020-11-14 06:30:40 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 (exists = 1) [2020-11-14 06:30:40 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1604984680-28533-6_2_r1149507720_1 (exists = 0) [2020-11-14 06:30:40 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1604984680-28533-6_2_r1149507720_0 (exists = 0) [2020-11-14 06:30:40 main:452] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1604984680-28533-6 (exists = 1) [2020-11-14 06:30:41 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-14 06:30:41 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 [2020-11-14 06:30:41 main:474] : INFO : Configuration: [2020-11-14 06:30:41 main:475] : INFO : Model type: LSTM [2020-11-14 06:30:41 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-14 06:30:41 main:477] : INFO : Max Epochs: 192 [2020-11-14 06:30:41 main:478] : INFO : Batch Size: 32 [2020-11-14 06:30:41 main:479] : INFO : Learning Rate: 0.001 [2020-11-14 06:30:41 main:480] : INFO : Patience: 10 [2020-11-14 06:30:41 main:481] : INFO : Hidden Width: 64 [2020-11-14 06:30:41 main:482] : INFO : # Recurrent Layers: 4 [2020-11-14 06:30:41 main:483] : INFO : # Backend Layers: 2 [2020-11-14 06:30:41 main:484] : INFO : # Threads: 1 [2020-11-14 06:30:41 main:486] : INFO : Preparing Dataset [2020-11-14 06:30:41 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 into memory [2020-11-14 06:30:41 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 into memory [2020-11-14 06:30:43 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-14 06:30:43 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 into memory [2020-11-14 06:30:43 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 into memory [2020-11-14 06:30:43 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-14 06:30:43 main:494] : INFO : Creating Model [2020-11-14 06:30:43 main:507] : INFO : Preparing config file [2020-11-14 06:30:43 main:519] : INFO : Creating new config file [2020-11-14 06:30:43 main:538] : INFO : This is a continuation WU, loading previous network [2020-11-14 06:30:43 main:559] : INFO : Loading DataLoader into Memory [2020-11-14 06:30:43 main:562] : INFO : Starting Training [2020-11-14 06:30:47 main:574] : INFO : Epoch 1 | loss: 0.0530216 | val_loss: 0.0530276 | Time: 3986.05 ms [2020-11-14 06:30:51 main:574] : INFO : Epoch 2 | loss: 0.0528529 | val_loss: 0.0528533 | Time: 3906.36 ms [2020-11-14 06:30:55 main:574] : INFO : Epoch 3 | loss: 0.0525648 | val_loss: 0.052607 | Time: 3680.04 ms [2020-11-14 06:30:59 main:574] : INFO : Epoch 4 | loss: 0.0524033 | val_loss: 0.0524407 | Time: 3867.23 ms [2020-11-14 06:31:03 main:574] : INFO : Epoch 5 | loss: 0.0522118 | val_loss: 0.0519171 | Time: 3769.34 ms [2020-11-14 06:31:07 main:574] : INFO : Epoch 6 | loss: 0.0515184 | val_loss: 0.0512533 | Time: 3649.72 ms [2020-11-14 06:31:11 main:574] : INFO : Epoch 7 | loss: 0.0509495 | val_loss: 0.0507255 | Time: 3813.02 ms [2020-11-14 06:31:14 main:574] : INFO : Epoch 8 | loss: 0.0499542 | val_loss: 0.0497791 | Time: 3649.99 ms [2020-11-14 06:31:18 main:574] : INFO : Epoch 9 | loss: 0.0493356 | val_loss: 0.0496031 | Time: 3822.05 ms [2020-11-14 06:31:22 main:574] : INFO : Epoch 10 | loss: 0.0496831 | val_loss: 0.050153 | Time: 3823.01 ms [2020-11-14 06:31:26 main:574] : INFO : Epoch 11 | loss: 0.049522 | val_loss: 0.0493456 | Time: 3589.79 ms [2020-11-14 06:31:29 main:574] : INFO : Epoch 12 | loss: 0.0486969 | val_loss: 0.04827 | Time: 3834.5 ms [2020-11-14 06:31:33 main:574] : INFO : Epoch 13 | loss: 0.0472203 | val_loss: 0.047155 | Time: 3694.32 ms [2020-11-14 06:31:37 main:574] : INFO : Epoch 14 | loss: 0.0469647 | val_loss: 0.047547 | Time: 3804.93 ms [2020-11-14 06:31:41 main:574] : INFO : Epoch 15 | loss: 0.0471856 | val_loss: 0.046361 | Time: 3836.18 ms [2020-11-14 06:31:45 main:574] : INFO : Epoch 16 | loss: 0.0477048 | val_loss: 0.0499715 | Time: 3706.59 ms [2020-11-14 06:31:49 main:574] : INFO : Epoch 17 | loss: 0.0490163 | val_loss: 0.0486957 | Time: 3813.38 ms [2020-11-14 06:31:53 main:574] : INFO : Epoch 18 | loss: 0.0480636 | val_loss: 0.0482358 | Time: 3845.5 ms [2020-11-14 06:31:56 main:574] : INFO : Epoch 19 | loss: 0.048592 | val_loss: 0.0486129 | Time: 3653.76 ms [2020-11-14 06:32:00 main:574] : INFO : Epoch 20 | loss: 0.0478603 | val_loss: 0.0477298 | Time: 3807.36 ms [2020-11-14 06:32:04 main:574] : INFO : Epoch 21 | loss: 0.0469512 | val_loss: 0.0468437 | Time: 3620.03 ms [2020-11-14 06:32:08 main:574] : INFO : Epoch 22 | loss: 0.04594 | val_loss: 0.0458592 | Time: 3829.88 ms [2020-11-14 06:32:12 main:574] : INFO : Epoch 23 | loss: 0.0504216 | val_loss: 0.0536146 | Time: 3810.24 ms [2020-11-14 06:32:15 main:574] : INFO : Epoch 24 | loss: 0.0534016 | val_loss: 0.0532646 | Time: 3670.2 ms [2020-11-14 06:32:19 main:574] : INFO : Epoch 25 | loss: 0.0531928 | val_loss: 0.0530926 | Time: 3866.61 ms [2020-11-14 06:32:23 main:574] : INFO : Epoch 26 | loss: 0.0530559 | val_loss: 0.0528822 | Time: 3789.47 ms [2020-11-14 06:32:27 main:574] : INFO : Epoch 27 | loss: 0.0526963 | val_loss: 0.0526849 | Time: 3662.95 ms [2020-11-14 06:32:31 main:574] : INFO : Epoch 28 | loss: 0.0528239 | val_loss: 0.0531916 | Time: 3808.79 ms [2020-11-14 06:32:34 main:574] : INFO : Epoch 29 | loss: 0.0527465 | val_loss: 0.0527933 | Time: 3653.59 ms [2020-11-14 06:32:38 main:574] : INFO : Epoch 30 | loss: 0.0525093 | val_loss: 0.052555 | Time: 3845.88 ms [2020-11-14 06:32:42 main:574] : INFO : Epoch 31 | loss: 0.0522358 | val_loss: 0.0521482 | Time: 3795.38 ms [2020-11-14 06:32:46 main:574] : INFO : Epoch 32 | loss: 0.0520985 | val_loss: 0.0522308 | Time: 3640.72 ms [2020-11-14 06:32:50 main:574] : INFO : Epoch 33 | loss: 0.0518906 | val_loss: 0.0518221 | Time: 3821.33 ms [2020-11-14 06:32:53 main:574] : INFO : Epoch 34 | loss: 0.0516063 | val_loss: 0.0517592 | Time: 3711.04 ms [2020-11-14 06:32:57 main:574] : INFO : Epoch 35 | loss: 0.0514081 | val_loss: 0.0515 | Time: 3746.27 ms [2020-11-14 06:33:01 main:574] : INFO : Epoch 36 | loss: 0.0511771 | val_loss: 0.0510938 | Time: 3865.9 ms [2020-11-14 06:33:05 main:574] : INFO : Epoch 37 | loss: 0.0509801 | val_loss: 0.0510293 | Time: 3619.79 ms [2020-11-14 06:33:09 main:574] : INFO : Epoch 38 | loss: 0.0507916 | val_loss: 0.0508022 | Time: 3867.91 ms [2020-11-14 06:33:12 main:574] : INFO : Epoch 39 | loss: 0.051074 | val_loss: 0.051698 | Time: 3824.65 ms [2020-11-14 06:33:16 main:574] : INFO : Epoch 40 | loss: 0.0515028 | val_loss: 0.0514188 | Time: 3645.07 ms [2020-11-14 06:33:20 main:574] : INFO : Epoch 41 | loss: 0.0512196 | val_loss: 0.0512364 | Time: 3782.21 ms [2020-11-14 06:33:24 main:574] : INFO : Epoch 42 | loss: 0.0508648 | val_loss: 0.0508363 | Time: 3615.65 ms [2020-11-14 06:33:27 main:574] : INFO : Epoch 43 | loss: 0.0505418 | val_loss: 0.0511813 | Time: 3809.86 ms [2020-11-14 06:33:31 main:574] : INFO : Epoch 44 | loss: 0.0506862 | val_loss: 0.0507167 | Time: 3786.58 ms [2020-11-14 06:33:35 main:574] : INFO : Epoch 45 | loss: 0.0502075 | val_loss: 0.0503951 | Time: 3602.32 ms [2020-11-14 06:33:39 main:574] : INFO : Epoch 46 | loss: 0.054388 | val_loss: 0.0558526 | Time: 3821.44 ms [2020-11-14 06:33:43 main:574] : INFO : Epoch 47 | loss: 0.055696 | val_loss: 0.0557792 | Time: 3799.01 ms [2020-11-14 06:33:46 main:574] : INFO : Epoch 48 | loss: 0.0556071 | val_loss: 0.0556652 | Time: 3625.95 ms [2020-11-14 06:33:50 main:574] : INFO : Epoch 49 | loss: 0.0555374 | val_loss: 0.0556475 | Time: 3861.26 ms [2020-11-14 06:33:54 main:574] : INFO : Epoch 50 | loss: 0.0554926 | val_loss: 0.0556048 | Time: 3655.24 ms [2020-11-14 06:33:58 main:574] : INFO : Epoch 51 | loss: 0.0554267 | val_loss: 0.0555451 | Time: 3811.45 ms [2020-11-14 06:34:02 main:574] : INFO : Epoch 52 | loss: 0.0554288 | val_loss: 0.0555014 | Time: 3860.86 ms [2020-11-14 06:34:05 main:574] : INFO : Epoch 53 | loss: 0.0553885 | val_loss: 0.0554671 | Time: 3691.14 ms [2020-11-14 06:34:09 main:574] : INFO : Epoch 54 | loss: 0.0553532 | val_loss: 0.0554557 | Time: 3819.73 ms [2020-11-14 06:34:13 main:574] : INFO : Epoch 55 | loss: 0.0553051 | val_loss: 0.0553858 | Time: 3714.47 ms [2020-11-14 06:34:17 main:574] : INFO : Epoch 56 | loss: 0.0552836 | val_loss: 0.0555304 | Time: 3659.83 ms [2020-11-14 06:34:21 main:574] : INFO : Epoch 57 | loss: 0.0553772 | val_loss: 0.0554974 | Time: 3892.99 ms [2020-11-14 06:34:24 main:574] : INFO : Epoch 58 | loss: 0.0553304 | val_loss: 0.0554408 | Time: 3644.11 ms [2020-11-14 06:34:28 main:574] : INFO : Epoch 59 | loss: 0.0552256 | val_loss: 0.0553321 | Time: 3829.63 ms [2020-11-14 06:34:32 main:574] : INFO : Epoch 60 | loss: 0.0551414 | val_loss: 0.0552797 | Time: 3859.24 ms [2020-11-14 06:34:36 main:574] : INFO : Epoch 61 | loss: 0.0551601 | val_loss: 0.0553572 | Time: 3662.26 ms [2020-11-14 06:34:40 main:574] : INFO : Epoch 62 | loss: 0.0551594 | val_loss: 0.0552013 | Time: 3844.11 ms [2020-11-14 06:34:44 main:574] : INFO : Epoch 63 | loss: 0.0550548 | val_loss: 0.055162 | Time: 3663.1 ms [2020-11-14 06:34:47 main:574] : INFO : Epoch 64 | loss: 0.0549535 | val_loss: 0.0549202 | Time: 3851.47 ms [2020-11-14 06:34:51 main:574] : INFO : Epoch 65 | loss: 0.0548378 | val_loss: 0.0549472 | Time: 3889.81 ms [2020-11-14 06:34:55 main:574] : INFO : Epoch 66 | loss: 0.0549077 | val_loss: 0.0552998 | Time: 3603.06 ms [2020-11-14 06:34:59 main:574] : INFO : Epoch 67 | loss: 0.0551407 | val_loss: 0.0552474 | Time: 3842.51 ms [2020-11-14 06:35:03 main:574] : INFO : Epoch 68 | loss: 0.0550749 | val_loss: 0.0552539 | Time: 3828.7 ms [2020-11-14 06:35:06 main:574] : INFO : Epoch 69 | loss: 0.0550595 | val_loss: 0.0551854 | Time: 3614.33 ms [2020-11-14 06:35:10 main:574] : INFO : Epoch 70 | loss: 0.0549805 | val_loss: 0.0551193 | Time: 3860.57 ms [2020-11-14 06:35:14 main:574] : INFO : Epoch 71 | loss: 0.0549538 | val_loss: 0.0551695 | Time: 3675.99 ms [2020-11-14 06:35:18 main:574] : INFO : Epoch 72 | loss: 0.054943 | val_loss: 0.0550848 | Time: 3810.22 ms [2020-11-14 06:35:22 main:574] : INFO : Epoch 73 | loss: 0.0548801 | val_loss: 0.0550392 | Time: 3825.93 ms [2020-11-14 06:35:25 main:574] : INFO : Epoch 74 | loss: 0.054825 | val_loss: 0.0549973 | Time: 3647.94 ms [2020-11-14 06:35:29 main:574] : INFO : Epoch 75 | loss: 0.0548019 | val_loss: 0.0549354 | Time: 3817.94 ms [2020-11-14 06:35:33 main:574] : INFO : Epoch 76 | loss: 0.0548302 | val_loss: 0.0550483 | Time: 3708.26 ms [2020-11-14 06:35:37 main:574] : INFO : Epoch 77 | loss: 0.0548306 | val_loss: 0.0549401 | Time: 3777 ms [2020-11-14 06:35:41 main:574] : INFO : Epoch 78 | loss: 0.0546855 | val_loss: 0.0547773 | Time: 3778.37 ms [2020-11-14 06:35:45 main:574] : INFO : Epoch 79 | loss: 0.0545042 | val_loss: 0.0546399 | Time: 3697.51 ms [2020-11-14 06:35:48 main:574] : INFO : Epoch 80 | loss: 0.054358 | val_loss: 0.0545029 | Time: 3767.61 ms [2020-11-14 06:35:52 main:574] : INFO : Epoch 81 | loss: 0.0543781 | val_loss: 0.0546515 | Time: 3861.42 ms [2020-11-14 06:35:56 main:574] : INFO : Epoch 82 | loss: 0.0544068 | val_loss: 0.0544794 | Time: 3706.71 ms [2020-11-14 06:36:00 main:574] : INFO : Epoch 83 | loss: 0.0542806 | val_loss: 0.0543702 | Time: 3916.94 ms [2020-11-14 06:36:04 main:574] : INFO : Epoch 84 | loss: 0.0540284 | val_loss: 0.0542307 | Time: 3748.22 ms [2020-11-14 06:36:08 main:574] : INFO : Epoch 85 | loss: 0.0538547 | val_loss: 0.0540039 | Time: 3826.45 ms [2020-11-14 06:36:11 main:574] : INFO : Epoch 86 | loss: 0.0537544 | val_loss: 0.0541933 | Time: 3798.57 ms [2020-11-14 06:36:15 main:574] : INFO : Epoch 87 | loss: 0.0539642 | val_loss: 0.0540373 | Time: 3633.16 ms [2020-11-14 06:36:19 main:574] : INFO : Epoch 88 | loss: 0.0536805 | val_loss: 0.0537145 | Time: 3804.74 ms [2020-11-14 06:36:23 main:574] : INFO : Epoch 89 | loss: 0.0541212 | val_loss: 0.0545228 | Time: 3784.07 ms [2020-11-14 06:36:27 main:574] : INFO : Epoch 90 | loss: 0.0542848 | val_loss: 0.0545991 | Time: 3700.55 ms [2020-11-14 06:36:30 main:574] : INFO : Epoch 91 | loss: 0.0542659 | val_loss: 0.0543256 | Time: 3851.39 ms [2020-11-14 06:36:34 main:574] : INFO : Epoch 92 | loss: 0.0540493 | val_loss: 0.0541418 | Time: 3673.31 ms [2020-11-14 06:36:38 main:574] : INFO : Epoch 93 | loss: 0.0538922 | val_loss: 0.054011 | Time: 3842.54 ms [2020-11-14 06:36:42 main:574] : INFO : Epoch 94 | loss: 0.0537733 | val_loss: 0.053887 | Time: 3815.82 ms [2020-11-14 06:36:46 main:574] : INFO : Epoch 95 | loss: 0.0536091 | val_loss: 0.0537235 | Time: 3598.02 ms [2020-11-14 06:36:49 main:574] : INFO : Epoch 96 | loss: 0.053423 | val_loss: 0.0535234 | Time: 3808.76 ms [2020-11-14 06:36:53 main:574] : INFO : Epoch 97 | loss: 0.0531816 | val_loss: 0.0532714 | Time: 3760.25 ms [2020-11-14 06:36:57 main:574] : INFO : Epoch 98 | loss: 0.0528586 | val_loss: 0.0529574 | Time: 3753.33 ms [2020-11-14 06:37:01 main:574] : INFO : Epoch 99 | loss: 0.0526022 | val_loss: 0.0528318 | Time: 3803.93 ms [2020-11-14 06:37:05 main:574] : INFO : Epoch 100 | loss: 0.0523992 | val_loss: 0.0524928 | Time: 3601.13 ms [2020-11-14 06:37:08 main:574] : INFO : Epoch 101 | loss: 0.0523903 | val_loss: 0.0526224 | Time: 3832.45 ms [2020-11-14 06:37:12 main:574] : INFO : Epoch 102 | loss: 0.0522741 | val_loss: 0.0524371 | Time: 3778.37 ms [2020-11-14 06:37:16 main:574] : INFO : Epoch 103 | loss: 0.05196 | val_loss: 0.0519811 | Time: 3652.85 ms [2020-11-14 06:37:20 main:574] : INFO : Epoch 104 | loss: 0.0517001 | val_loss: 0.0520884 | Time: 3798.64 ms [2020-11-14 06:37:23 main:574] : INFO : Epoch 105 | loss: 0.0516535 | val_loss: 0.0517686 | Time: 3646.26 ms [2020-11-14 06:37:27 main:574] : INFO : Epoch 106 | loss: 0.0520546 | val_loss: 0.0525727 | Time: 3802.96 ms [2020-11-14 06:37:31 main:574] : INFO : Epoch 107 | loss: 0.0522181 | val_loss: 0.0523603 | Time: 3813.31 ms [2020-11-14 06:37:35 main:574] : INFO : Epoch 108 | loss: 0.0522352 | val_loss: 0.0524997 | Time: 3662.61 ms [2020-11-14 06:37:39 main:574] : INFO : Epoch 109 | loss: 0.0525332 | val_loss: 0.0529333 | Time: 3764.89 ms [2020-11-14 06:37:43 main:574] : INFO : Epoch 110 | loss: 0.0527005 | val_loss: 0.0528694 | Time: 3783.68 ms [2020-11-14 06:37:46 main:574] : INFO : Epoch 111 | loss: 0.0525918 | val_loss: 0.0526114 | Time: 3631.78 ms [2020-11-14 06:37:50 main:574] : INFO : Epoch 112 | loss: 0.0524954 | val_loss: 0.0527478 | Time: 3844.46 ms [2020-11-14 06:37:54 main:574] : INFO : Epoch 113 | loss: 0.0524041 | val_loss: 0.0521785 | Time: 3589.05 ms [2020-11-14 06:37:58 main:574] : INFO : Epoch 114 | loss: 0.0522302 | val_loss: 0.0523993 | Time: 3864.06 ms [2020-11-14 06:38:02 main:574] : INFO : Epoch 115 | loss: 0.0523088 | val_loss: 0.0526887 | Time: 3862.17 ms [2020-11-14 06:38:05 main:574] : INFO : Epoch 116 | loss: 0.0531006 | val_loss: 0.0544111 | Time: 3621.45 ms [2020-11-14 06:38:09 main:574] : INFO : Epoch 117 | loss: 0.0563019 | val_loss: 0.0562859 | Time: 3788.55 ms [2020-11-14 06:38:13 main:574] : INFO : Epoch 118 | loss: 0.0567489 | val_loss: 0.0570779 | Time: 3796.39 ms [2020-11-14 06:38:17 main:574] : INFO : Epoch 119 | loss: 0.056849 | val_loss: 0.0566524 | Time: 3732.56 ms [2020-11-14 06:38:20 main:574] : INFO : Epoch 120 | loss: 0.0565618 | val_loss: 0.0565524 | Time: 3763.84 ms [2020-11-14 06:38:24 main:574] : INFO : Epoch 121 | loss: 0.0568074 | val_loss: 0.0566855 | Time: 3598.62 ms [2020-11-14 06:38:28 main:574] : INFO : Epoch 122 | loss: 0.0565724 | val_loss: 0.0564269 | Time: 3813.41 ms [2020-11-14 06:38:32 main:574] : INFO : Epoch 123 | loss: 0.0564195 | val_loss: 0.0563667 | Time: 3811.95 ms [2020-11-14 06:38:36 main:574] : INFO : Epoch 124 | loss: 0.0563201 | val_loss: 0.0562468 | Time: 3690.57 ms [2020-11-14 06:38:39 main:574] : INFO : Epoch 125 | loss: 0.0561945 | val_loss: 0.0561418 | Time: 3846.65 ms [2020-11-14 06:38:43 main:574] : INFO : Epoch 126 | loss: 0.0560587 | val_loss: 0.0560153 | Time: 3739.34 ms [2020-11-14 06:38:47 main:574] : INFO : Epoch 127 | loss: 0.055966 | val_loss: 0.055885 | Time: 3753.54 ms [2020-11-14 06:38:51 main:574] : INFO : Epoch 128 | loss: 0.0558793 | val_loss: 0.0558503 | Time: 3871.1 ms [2020-11-14 06:38:55 main:574] : INFO : Epoch 129 | loss: 0.0557531 | val_loss: 0.0557225 | Time: 3686.89 ms [2020-11-14 06:38:59 main:574] : INFO : Epoch 130 | loss: 0.0555866 | val_loss: 0.0555495 | Time: 3869.29 ms [2020-11-14 06:39:03 main:574] : INFO : Epoch 131 | loss: 0.0555902 | val_loss: 0.0556987 | Time: 3860.11 ms [2020-11-14 06:39:06 main:574] : INFO : Epoch 132 | loss: 0.0555698 | val_loss: 0.0555662 | Time: 3629.13 ms [2020-11-14 06:39:10 main:574] : INFO : Epoch 133 | loss: 0.0554077 | val_loss: 0.0553639 | Time: 3783.6 ms [2020-11-14 06:39:14 main:574] : INFO : Epoch 134 | loss: 0.0552224 | val_loss: 0.0553345 | Time: 3626.56 ms [2020-11-14 06:39:18 main:574] : INFO : Epoch 135 | loss: 0.0550974 | val_loss: 0.055105 | Time: 3753.3 ms [2020-11-14 06:39:22 main:574] : INFO : Epoch 136 | loss: 0.054797 | val_loss: 0.0547624 | Time: 3840.84 ms [2020-11-14 06:39:25 main:574] : INFO : Epoch 137 | loss: 0.055216 | val_loss: 0.0553752 | Time: 3602.05 ms [2020-11-14 06:39:29 main:574] : INFO : Epoch 138 | loss: 0.0552869 | val_loss: 0.055214 | Time: 3803.1 ms [2020-11-14 06:39:33 main:574] : INFO : Epoch 139 | loss: 0.0550901 | val_loss: 0.055076 | Time: 3815.8 ms [2020-11-14 06:39:37 main:574] : INFO : Epoch 140 | loss: 0.0549071 | val_loss: 0.0549434 | Time: 3706.25 ms [2020-11-14 06:39:41 main:574] : INFO : Epoch 141 | loss: 0.0547362 | val_loss: 0.0547652 | Time: 3839.7 ms [2020-11-14 06:39:44 main:574] : INFO : Epoch 142 | loss: 0.0545124 | val_loss: 0.0545445 | Time: 3692.8 ms [2020-11-14 06:39:48 main:574] : INFO : Epoch 143 | loss: 0.0543709 | val_loss: 0.0544084 | Time: 3841.91 ms [2020-11-14 06:39:52 main:574] : INFO : Epoch 144 | loss: 0.0541546 | val_loss: 0.0541973 | Time: 3813.82 ms [2020-11-14 06:39:56 main:574] : INFO : Epoch 145 | loss: 0.0538878 | val_loss: 0.0539781 | Time: 3646.08 ms [2020-11-14 06:40:00 main:574] : INFO : Epoch 146 | loss: 0.0537944 | val_loss: 0.0539023 | Time: 3854.93 ms [2020-11-14 06:40:03 main:574] : INFO : Epoch 147 | loss: 0.0536823 | val_loss: 0.0536589 | Time: 3748.84 ms [2020-11-14 06:40:07 main:574] : INFO : Epoch 148 | loss: 0.0533978 | val_loss: 0.0534407 | Time: 3795 ms [2020-11-14 06:40:11 main:574] : INFO : Epoch 149 | loss: 0.0531754 | val_loss: 0.0532647 | Time: 3795.94 ms [2020-11-14 06:40:15 main:574] : INFO : Epoch 150 | loss: 0.0528114 | val_loss: 0.0527626 | Time: 3630.37 ms [2020-11-14 06:40:19 main:574] : INFO : Epoch 151 | loss: 0.052377 | val_loss: 0.05242 | Time: 3839.14 ms [2020-11-14 06:40:22 main:574] : INFO : Epoch 152 | loss: 0.052021 | val_loss: 0.0521595 | Time: 3798.67 ms [2020-11-14 06:40:26 main:574] : INFO : Epoch 153 | loss: 0.0519276 | val_loss: 0.0518486 | Time: 3664.91 ms [2020-11-14 06:40:30 main:574] : INFO : Epoch 154 | loss: 0.0533234 | val_loss: 0.0537908 | Time: 3840.02 ms [2020-11-14 06:40:34 main:574] : INFO : Epoch 155 | loss: 0.0538414 | val_loss: 0.0553781 | Time: 3654.65 ms [2020-11-14 06:40:38 main:574] : INFO : Epoch 156 | loss: 0.0554583 | val_loss: 0.0553039 | Time: 3830.61 ms [2020-11-14 06:40:41 main:574] : INFO : Epoch 157 | loss: 0.0552136 | val_loss: 0.0551362 | Time: 3790.13 ms [2020-11-14 06:40:45 main:574] : INFO : Epoch 158 | loss: 0.0550026 | val_loss: 0.0549606 | Time: 3652.95 ms [2020-11-14 06:40:49 main:574] : INFO : Epoch 159 | loss: 0.0548607 | val_loss: 0.0549077 | Time: 3848.74 ms [2020-11-14 06:40:53 main:574] : INFO : Epoch 160 | loss: 0.054778 | val_loss: 0.0547502 | Time: 3745.29 ms [2020-11-14 06:40:57 main:574] : INFO : Epoch 161 | loss: 0.0546192 | val_loss: 0.054612 | Time: 3722.86 ms [2020-11-14 06:41:01 main:574] : INFO : Epoch 162 | loss: 0.0544795 | val_loss: 0.0544344 | Time: 3845.36 ms [2020-11-14 06:41:04 main:574] : INFO : Epoch 163 | loss: 0.0543009 | val_loss: 0.0542907 | Time: 3629.28 ms [2020-11-14 06:41:08 main:574] : INFO : Epoch 164 | loss: 0.0541662 | val_loss: 0.0541873 | Time: 3953.4 ms [2020-11-14 06:41:12 main:574] : INFO : Epoch 165 | loss: 0.0540971 | val_loss: 0.0541024 | Time: 3905.15 ms [2020-11-14 06:41:16 main:574] : INFO : Epoch 166 | loss: 0.0539817 | val_loss: 0.0539188 | Time: 3627.62 ms [2020-11-14 06:41:20 main:574] : INFO : Epoch 167 | loss: 0.0537589 | val_loss: 0.0536484 | Time: 3826.27 ms [2020-11-14 06:41:24 main:574] : INFO : Epoch 168 | loss: 0.0538219 | val_loss: 0.0538764 | Time: 3673.39 ms [2020-11-14 06:41:27 main:574] : INFO : Epoch 169 | loss: 0.0536371 | val_loss: 0.0537122 | Time: 3793.66 ms [2020-11-14 06:41:31 main:574] : INFO : Epoch 170 | loss: 0.0534541 | val_loss: 0.0534693 | Time: 3788.58 ms [2020-11-14 06:41:35 main:574] : INFO : Epoch 171 | loss: 0.0540278 | val_loss: 0.0545782 | Time: 3667.97 ms [2020-11-14 06:41:39 main:574] : INFO : Epoch 172 | loss: 0.0543211 | val_loss: 0.0544939 | Time: 3863.01 ms [2020-11-14 06:41:43 main:574] : INFO : Epoch 173 | loss: 0.054245 | val_loss: 0.054323 | Time: 3770.77 ms [2020-11-14 06:41:46 main:574] : INFO : Epoch 174 | loss: 0.0541412 | val_loss: 0.0543134 | Time: 3643.16 ms [2020-11-14 06:41:50 main:574] : INFO : Epoch 175 | loss: 0.0541563 | val_loss: 0.0543131 | Time: 3815.38 ms [2020-11-14 06:41:54 main:574] : INFO : Epoch 176 | loss: 0.0540335 | val_loss: 0.0541057 | Time: 3618.81 ms [2020-11-14 06:41:58 main:574] : INFO : Epoch 177 | loss: 0.0538483 | val_loss: 0.0539208 | Time: 3798.41 ms [2020-11-14 06:42:02 main:574] : INFO : Epoch 178 | loss: 0.0536762 | val_loss: 0.0537461 | Time: 3882.3 ms [2020-11-14 06:42:05 main:574] : INFO : Epoch 179 | loss: 0.0535789 | val_loss: 0.0536927 | Time: 3641.63 ms [2020-11-14 06:42:09 main:574] : INFO : Epoch 180 | loss: 0.0534291 | val_loss: 0.0535175 | Time: 3856.95 ms [2020-11-14 06:42:13 main:574] : INFO : Epoch 181 | loss: 0.0532016 | val_loss: 0.0532913 | Time: 3801.33 ms [2020-11-14 06:42:17 main:574] : INFO : Epoch 182 | loss: 0.0532573 | val_loss: 0.0537711 | Time: 3706.1 ms [2020-11-14 06:42:21 main:574] : INFO : Epoch 183 | loss: 0.0535578 | val_loss: 0.0536015 | Time: 3832.19 ms [2020-11-14 06:42:24 main:574] : INFO : Epoch 184 | loss: 0.0532163 | val_loss: 0.05331 | Time: 3625.62 ms [2020-11-14 06:42:28 main:574] : INFO : Epoch 185 | loss: 0.0531092 | val_loss: 0.0532181 | Time: 3865.47 ms [2020-11-14 06:42:32 main:574] : INFO : Epoch 186 | loss: 0.0528991 | val_loss: 0.0529767 | Time: 3848.01 ms [2020-11-14 06:42:36 main:574] : INFO : Epoch 187 | loss: 0.0529467 | val_loss: 0.0539994 | Time: 3688.34 ms [2020-11-14 06:42:40 main:574] : INFO : Epoch 188 | loss: 0.0536977 | val_loss: 0.053569 | Time: 3811 ms [2020-11-14 06:42:44 main:574] : INFO : Epoch 189 | loss: 0.0530729 | val_loss: 0.0529789 | Time: 3679.94 ms [2020-11-14 06:42:47 main:574] : INFO : Epoch 190 | loss: 0.0524936 | val_loss: 0.0525101 | Time: 3750.84 ms [2020-11-14 06:42:51 main:574] : INFO : Epoch 191 | loss: 0.0541806 | val_loss: 0.0545863 | Time: 3832.96 ms [2020-11-14 06:42:55 main:574] : INFO : Epoch 192 | loss: 0.0540895 | val_loss: 0.0537952 | Time: 3687.67 ms [2020-11-14 06:42:55 main:597] : INFO : Saving trained model to model-final.pt, val_loss 0.0537952 [2020-11-14 06:42:55 main:603] : INFO : Saving end state to config to file [2020-11-14 06:42:55 main:608] : INFO : Success, exiting.. 06:42:55 (956): 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)