Task 2887751
| Name | rand_automata_0010-1603776092-21754-42_2 |
| Workunit | 1289712 |
| Created | 11 Nov 2020, 20:02:47 UTC |
| Sent | 11 Nov 2020, 20:02:50 UTC |
| Report deadline | 18 Nov 2020, 20:02:50 UTC |
| Received | 12 Nov 2020, 0:35:45 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 1545 |
| Run time | 12 min 54 sec |
| CPU time | 12 min 16 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 02:05:38 main:435] : INFO : Set logging level to 1 [2020-11-12 02:05:38 main:441] : INFO : Running in BOINC Client mode [2020-11-12 02:05:38 main:444] : INFO : Resolving all filenames [2020-11-12 02:05:38 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0010-train-val-dataset.hdf5 (exists = 1) [2020-11-12 02:05:38 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0010-1603776092-21754-42_2_r227889696_1 (exists = 0) [2020-11-12 02:05:38 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0010-1603776092-21754-42_2_r227889696_0 (exists = 0) [2020-11-12 02:05:38 main:452] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0010-1603776092-21754-42 (exists = 1) [2020-11-12 02:05:38 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-12 02:05:38 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0010-train-val-dataset.hdf5 [2020-11-12 02:05:39 main:474] : INFO : Configuration: [2020-11-12 02:05:39 main:475] : INFO : Model type: LSTM [2020-11-12 02:05:39 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-12 02:05:39 main:477] : INFO : Max Epochs: 192 [2020-11-12 02:05:39 main:478] : INFO : Batch Size: 32 [2020-11-12 02:05:39 main:479] : INFO : Learning Rate: 0.001 [2020-11-12 02:05:39 main:480] : INFO : Patience: 10 [2020-11-12 02:05:39 main:481] : INFO : Hidden Width: 64 [2020-11-12 02:05:39 main:482] : INFO : # Recurrent Layers: 4 [2020-11-12 02:05:39 main:483] : INFO : # Backend Layers: 2 [2020-11-12 02:05:39 main:484] : INFO : # Threads: 1 [2020-11-12 02:05:39 main:486] : INFO : Preparing Dataset [2020-11-12 02:05:39 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0010-train-val-dataset.hdf5 into memory [2020-11-12 02:05:39 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0010-train-val-dataset.hdf5 into memory [2020-11-12 02:05:41 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-12 02:05:41 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0010-train-val-dataset.hdf5 into memory [2020-11-12 02:05:41 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0010-train-val-dataset.hdf5 into memory [2020-11-12 02:05:41 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-12 02:05:41 main:494] : INFO : Creating Model [2020-11-12 02:05:41 main:507] : INFO : Preparing config file [2020-11-12 02:05:41 main:519] : INFO : Creating new config file [2020-11-12 02:05:41 main:538] : INFO : This is a continuation WU, loading previous network [2020-11-12 02:05:42 main:559] : INFO : Loading DataLoader into Memory [2020-11-12 02:05:42 main:562] : INFO : Starting Training [2020-11-12 02:05:46 main:574] : INFO : Epoch 1 | loss: 0.0563247 | val_loss: 0.0557831 | Time: 3993.83 ms [2020-11-12 02:05:50 main:574] : INFO : Epoch 2 | loss: 0.0558366 | val_loss: 0.0555863 | Time: 3962.06 ms [2020-11-12 02:05:54 main:574] : INFO : Epoch 3 | loss: 0.0555686 | val_loss: 0.0557157 | Time: 3953.97 ms [2020-11-12 02:05:58 main:574] : INFO : Epoch 4 | loss: 0.0558511 | val_loss: 0.056182 | Time: 3718.26 ms [2020-11-12 02:06:02 main:574] : INFO : Epoch 5 | loss: 0.0563611 | val_loss: 0.0562629 | Time: 3950.97 ms [2020-11-12 02:06:05 main:574] : INFO : Epoch 6 | loss: 0.0563617 | val_loss: 0.0562608 | Time: 3709.91 ms [2020-11-12 02:06:09 main:574] : INFO : Epoch 7 | loss: 0.0561928 | val_loss: 0.0560976 | Time: 3903.36 ms [2020-11-12 02:06:13 main:574] : INFO : Epoch 8 | loss: 0.0560643 | val_loss: 0.0560384 | Time: 3922.91 ms [2020-11-12 02:06:17 main:574] : INFO : Epoch 9 | loss: 0.0561184 | val_loss: 0.0561754 | Time: 3730.4 ms [2020-11-12 02:06:21 main:574] : INFO : Epoch 10 | loss: 0.0564817 | val_loss: 0.0570821 | Time: 4004.97 ms [2020-11-12 02:06:25 main:574] : INFO : Epoch 11 | loss: 0.0571406 | val_loss: 0.057268 | Time: 3818.22 ms [2020-11-12 02:06:29 main:574] : INFO : Epoch 12 | loss: 0.0572226 | val_loss: 0.0571029 | Time: 3847.65 ms [2020-11-12 02:06:33 main:574] : INFO : Epoch 13 | loss: 0.0571645 | val_loss: 0.0571276 | Time: 3955.54 ms [2020-11-12 02:06:37 main:574] : INFO : Epoch 14 | loss: 0.0570427 | val_loss: 0.0570344 | Time: 3722.7 ms [2020-11-12 02:06:41 main:574] : INFO : Epoch 15 | loss: 0.0570395 | val_loss: 0.0574305 | Time: 3988.89 ms [2020-11-12 02:06:44 main:574] : INFO : Epoch 16 | loss: 0.0578745 | val_loss: 0.0578586 | Time: 3878.07 ms [2020-11-12 02:06:48 main:574] : INFO : Epoch 17 | loss: 0.0584801 | val_loss: 0.0588165 | Time: 3744.53 ms [2020-11-12 02:06:52 main:574] : INFO : Epoch 18 | loss: 0.0594046 | val_loss: 0.0596292 | Time: 3936.43 ms [2020-11-12 02:06:56 main:574] : INFO : Epoch 19 | loss: 0.0599543 | val_loss: 0.060036 | Time: 3717 ms [2020-11-12 02:07:00 main:574] : INFO : Epoch 20 | loss: 0.0600868 | val_loss: 0.059935 | Time: 3976.82 ms [2020-11-12 02:07:04 main:574] : INFO : Epoch 21 | loss: 0.0599993 | val_loss: 0.0599234 | Time: 3923.17 ms [2020-11-12 02:07:08 main:574] : INFO : Epoch 22 | loss: 0.0599789 | val_loss: 0.0598986 | Time: 3727.56 ms [2020-11-12 02:07:12 main:574] : INFO : Epoch 23 | loss: 0.0599382 | val_loss: 0.0598597 | Time: 3977.87 ms [2020-11-12 02:07:15 main:574] : INFO : Epoch 24 | loss: 0.0599494 | val_loss: 0.0598984 | Time: 3710.31 ms [2020-11-12 02:07:19 main:574] : INFO : Epoch 25 | loss: 0.0599593 | val_loss: 0.0599174 | Time: 3961.04 ms [2020-11-12 02:07:23 main:574] : INFO : Epoch 26 | loss: 0.0599796 | val_loss: 0.0599251 | Time: 3959.61 ms [2020-11-12 02:07:27 main:574] : INFO : Epoch 27 | loss: 0.0600142 | val_loss: 0.0600148 | Time: 3658.36 ms [2020-11-12 02:07:31 main:574] : INFO : Epoch 28 | loss: 0.0600623 | val_loss: 0.0600046 | Time: 3932.43 ms [2020-11-12 02:07:35 main:574] : INFO : Epoch 29 | loss: 0.0600619 | val_loss: 0.0599817 | Time: 3793.45 ms [2020-11-12 02:07:39 main:574] : INFO : Epoch 30 | loss: 0.0600367 | val_loss: 0.0599738 | Time: 3897.79 ms [2020-11-12 02:07:43 main:574] : INFO : Epoch 31 | loss: 0.0600284 | val_loss: 0.0599376 | Time: 4000.06 ms [2020-11-12 02:07:47 main:574] : INFO : Epoch 32 | loss: 0.0600533 | val_loss: 0.0600378 | Time: 3702.34 ms [2020-11-12 02:07:51 main:574] : INFO : Epoch 33 | loss: 0.0600995 | val_loss: 0.0600202 | Time: 3939.63 ms [2020-11-12 02:07:55 main:574] : INFO : Epoch 34 | loss: 0.0602226 | val_loss: 0.0602351 | Time: 3869.05 ms [2020-11-12 02:07:58 main:574] : INFO : Epoch 35 | loss: 0.0602734 | val_loss: 0.0602145 | Time: 3775.56 ms [2020-11-12 02:08:02 main:574] : INFO : Epoch 36 | loss: 0.0602516 | val_loss: 0.0601611 | Time: 4032.8 ms [2020-11-12 02:08:06 main:574] : INFO : Epoch 37 | loss: 0.0602176 | val_loss: 0.0601431 | Time: 3703.85 ms [2020-11-12 02:08:10 main:574] : INFO : Epoch 38 | loss: 0.0602082 | val_loss: 0.0601453 | Time: 3893.2 ms [2020-11-12 02:08:14 main:574] : INFO : Epoch 39 | loss: 0.060182 | val_loss: 0.0601068 | Time: 3931.63 ms [2020-11-12 02:08:18 main:574] : INFO : Epoch 40 | loss: 0.0601562 | val_loss: 0.0600911 | Time: 3683.81 ms [2020-11-12 02:08:22 main:574] : INFO : Epoch 41 | loss: 0.0601314 | val_loss: 0.0601321 | Time: 3951.33 ms [2020-11-12 02:08:26 main:574] : INFO : Epoch 42 | loss: 0.0601344 | val_loss: 0.0600804 | Time: 3709.97 ms [2020-11-12 02:08:30 main:574] : INFO : Epoch 43 | loss: 0.060103 | val_loss: 0.0601196 | Time: 3943.18 ms [2020-11-12 02:08:34 main:574] : INFO : Epoch 44 | loss: 0.0601201 | val_loss: 0.0600218 | Time: 3970.36 ms [2020-11-12 02:08:37 main:574] : INFO : Epoch 45 | loss: 0.0600654 | val_loss: 0.0600567 | Time: 3690.35 ms [2020-11-12 02:08:41 main:574] : INFO : Epoch 46 | loss: 0.060077 | val_loss: 0.0600448 | Time: 3937.45 ms [2020-11-12 02:08:45 main:574] : INFO : Epoch 47 | loss: 0.0600244 | val_loss: 0.0600258 | Time: 3797.3 ms [2020-11-12 02:08:49 main:574] : INFO : Epoch 48 | loss: 0.0599997 | val_loss: 0.0600108 | Time: 4038.79 ms [2020-11-12 02:08:53 main:574] : INFO : Epoch 49 | loss: 0.0599716 | val_loss: 0.0599727 | Time: 3942.81 ms [2020-11-12 02:08:57 main:574] : INFO : Epoch 50 | loss: 0.0599296 | val_loss: 0.0599178 | Time: 3669.9 ms [2020-11-12 02:09:01 main:574] : INFO : Epoch 51 | loss: 0.0598883 | val_loss: 0.0598966 | Time: 3914.3 ms [2020-11-12 02:09:05 main:574] : INFO : Epoch 52 | loss: 0.0602531 | val_loss: 0.0603887 | Time: 3876.63 ms [2020-11-12 02:09:09 main:574] : INFO : Epoch 53 | loss: 0.0603859 | val_loss: 0.0603513 | Time: 3834.46 ms [2020-11-12 02:09:13 main:574] : INFO : Epoch 54 | loss: 0.0603538 | val_loss: 0.0603154 | Time: 3966.21 ms [2020-11-12 02:09:17 main:574] : INFO : Epoch 55 | loss: 0.0603224 | val_loss: 0.0603072 | Time: 3742.54 ms [2020-11-12 02:09:21 main:574] : INFO : Epoch 56 | loss: 0.0602825 | val_loss: 0.0602508 | Time: 3929.31 ms [2020-11-12 02:09:24 main:574] : INFO : Epoch 57 | loss: 0.060222 | val_loss: 0.06021 | Time: 3848.74 ms [2020-11-12 02:09:28 main:574] : INFO : Epoch 58 | loss: 0.0601774 | val_loss: 0.060147 | Time: 3767.21 ms [2020-11-12 02:09:32 main:574] : INFO : Epoch 59 | loss: 0.0601135 | val_loss: 0.060104 | Time: 3824.01 ms [2020-11-12 02:09:36 main:574] : INFO : Epoch 60 | loss: 0.0600709 | val_loss: 0.0600818 | Time: 3683.96 ms [2020-11-12 02:09:40 main:574] : INFO : Epoch 61 | loss: 0.060182 | val_loss: 0.0602995 | Time: 3946.17 ms [2020-11-12 02:09:44 main:574] : INFO : Epoch 62 | loss: 0.0602926 | val_loss: 0.0602727 | Time: 3922.49 ms [2020-11-12 02:09:48 main:574] : INFO : Epoch 63 | loss: 0.0602542 | val_loss: 0.0602654 | Time: 3716.77 ms [2020-11-12 02:09:52 main:574] : INFO : Epoch 64 | loss: 0.0602553 | val_loss: 0.0602613 | Time: 3978.29 ms [2020-11-12 02:09:55 main:574] : INFO : Epoch 65 | loss: 0.0602196 | val_loss: 0.0601779 | Time: 3687 ms [2020-11-12 02:09:59 main:574] : INFO : Epoch 66 | loss: 0.0601635 | val_loss: 0.0601795 | Time: 3932.84 ms [2020-11-12 02:10:03 main:574] : INFO : Epoch 67 | loss: 0.060125 | val_loss: 0.0601211 | Time: 3944.81 ms [2020-11-12 02:10:07 main:574] : INFO : Epoch 68 | loss: 0.0600649 | val_loss: 0.0600389 | Time: 3724.46 ms [2020-11-12 02:10:11 main:574] : INFO : Epoch 69 | loss: 0.0600021 | val_loss: 0.0600585 | Time: 3956.58 ms [2020-11-12 02:10:15 main:574] : INFO : Epoch 70 | loss: 0.0600135 | val_loss: 0.0600364 | Time: 3764.59 ms [2020-11-12 02:10:19 main:574] : INFO : Epoch 71 | loss: 0.0599473 | val_loss: 0.0599532 | Time: 3922.71 ms [2020-11-12 02:10:23 main:574] : INFO : Epoch 72 | loss: 0.0598688 | val_loss: 0.0597937 | Time: 3884.93 ms [2020-11-12 02:10:27 main:574] : INFO : Epoch 73 | loss: 0.0597249 | val_loss: 0.0596696 | Time: 3716.95 ms [2020-11-12 02:10:31 main:574] : INFO : Epoch 74 | loss: 0.0595828 | val_loss: 0.0595192 | Time: 3906.32 ms [2020-11-12 02:10:35 main:574] : INFO : Epoch 75 | loss: 0.0594782 | val_loss: 0.0594485 | Time: 3899.15 ms [2020-11-12 02:10:38 main:574] : INFO : Epoch 76 | loss: 0.0594253 | val_loss: 0.0593992 | Time: 3758.67 ms [2020-11-12 02:10:42 main:574] : INFO : Epoch 77 | loss: 0.0592807 | val_loss: 0.059106 | Time: 4012.03 ms [2020-11-12 02:10:46 main:574] : INFO : Epoch 78 | loss: 0.0590199 | val_loss: 0.058936 | Time: 3694.4 ms [2020-11-12 02:10:50 main:574] : INFO : Epoch 79 | loss: 0.0588482 | val_loss: 0.0587729 | Time: 3936.29 ms [2020-11-12 02:10:54 main:574] : INFO : Epoch 80 | loss: 0.0586959 | val_loss: 0.0585809 | Time: 3936.16 ms [2020-11-12 02:10:58 main:574] : INFO : Epoch 81 | loss: 0.0584987 | val_loss: 0.0583939 | Time: 3702.94 ms [2020-11-12 02:11:02 main:574] : INFO : Epoch 82 | loss: 0.0584133 | val_loss: 0.0583101 | Time: 3935.97 ms [2020-11-12 02:11:06 main:574] : INFO : Epoch 83 | loss: 0.0582114 | val_loss: 0.0581052 | Time: 3718.36 ms [2020-11-12 02:11:10 main:574] : INFO : Epoch 84 | loss: 0.0579312 | val_loss: 0.0577638 | Time: 3928.34 ms [2020-11-12 02:11:14 main:574] : INFO : Epoch 85 | loss: 0.057633 | val_loss: 0.057509 | Time: 3936.76 ms [2020-11-12 02:11:17 main:574] : INFO : Epoch 86 | loss: 0.0573237 | val_loss: 0.0571701 | Time: 3675.17 ms [2020-11-12 02:11:21 main:574] : INFO : Epoch 87 | loss: 0.0570301 | val_loss: 0.0569783 | Time: 3914.95 ms [2020-11-12 02:11:25 main:574] : INFO : Epoch 88 | loss: 0.0567498 | val_loss: 0.0566692 | Time: 3747.42 ms [2020-11-12 02:11:29 main:574] : INFO : Epoch 89 | loss: 0.0564978 | val_loss: 0.0564411 | Time: 3860.23 ms [2020-11-12 02:11:33 main:574] : INFO : Epoch 90 | loss: 0.056187 | val_loss: 0.0560389 | Time: 3974.07 ms [2020-11-12 02:11:37 main:574] : INFO : Epoch 91 | loss: 0.0558316 | val_loss: 0.0557796 | Time: 3710.15 ms [2020-11-12 02:11:41 main:574] : INFO : Epoch 92 | loss: 0.0554731 | val_loss: 0.0553938 | Time: 3930.03 ms [2020-11-12 02:11:45 main:574] : INFO : Epoch 93 | loss: 0.0550522 | val_loss: 0.0551922 | Time: 3829.36 ms [2020-11-12 02:11:49 main:574] : INFO : Epoch 94 | loss: 0.0547649 | val_loss: 0.0547007 | Time: 3834.14 ms [2020-11-12 02:11:53 main:574] : INFO : Epoch 95 | loss: 0.0541707 | val_loss: 0.0542813 | Time: 3931.43 ms [2020-11-12 02:11:56 main:574] : INFO : Epoch 96 | loss: 0.0547221 | val_loss: 0.0549128 | Time: 3717.61 ms [2020-11-12 02:12:00 main:574] : INFO : Epoch 97 | loss: 0.0543067 | val_loss: 0.0541682 | Time: 3957.8 ms [2020-11-12 02:12:04 main:574] : INFO : Epoch 98 | loss: 0.0535241 | val_loss: 0.0535614 | Time: 3916.55 ms [2020-11-12 02:12:08 main:574] : INFO : Epoch 99 | loss: 0.0530751 | val_loss: 0.0534521 | Time: 3725.28 ms [2020-11-12 02:12:12 main:574] : INFO : Epoch 100 | loss: 0.0533353 | val_loss: 0.0538645 | Time: 3939.8 ms [2020-11-12 02:12:16 main:574] : INFO : Epoch 101 | loss: 0.0537861 | val_loss: 0.054808 | Time: 3698.47 ms [2020-11-12 02:12:20 main:574] : INFO : Epoch 102 | loss: 0.054961 | val_loss: 0.0549642 | Time: 3920.29 ms [2020-11-12 02:12:24 main:574] : INFO : Epoch 103 | loss: 0.0546047 | val_loss: 0.0545651 | Time: 3976.75 ms [2020-11-12 02:12:28 main:574] : INFO : Epoch 104 | loss: 0.054279 | val_loss: 0.0543035 | Time: 3742.21 ms [2020-11-12 02:12:32 main:574] : INFO : Epoch 105 | loss: 0.053905 | val_loss: 0.0539008 | Time: 3979.16 ms [2020-11-12 02:12:35 main:574] : INFO : Epoch 106 | loss: 0.0534131 | val_loss: 0.0533876 | Time: 3716.21 ms [2020-11-12 02:12:39 main:574] : INFO : Epoch 107 | loss: 0.0530314 | val_loss: 0.05323 | Time: 3923.13 ms [2020-11-12 02:12:43 main:574] : INFO : Epoch 108 | loss: 0.0526756 | val_loss: 0.0528518 | Time: 3952.82 ms [2020-11-12 02:12:47 main:574] : INFO : Epoch 109 | loss: 0.0527415 | val_loss: 0.0531892 | Time: 3737.74 ms [2020-11-12 02:12:51 main:574] : INFO : Epoch 110 | loss: 0.0526997 | val_loss: 0.0529767 | Time: 3963.3 ms [2020-11-12 02:12:55 main:574] : INFO : Epoch 111 | loss: 0.0526782 | val_loss: 0.0525708 | Time: 3752.16 ms [2020-11-12 02:12:59 main:574] : INFO : Epoch 112 | loss: 0.0521977 | val_loss: 0.0523281 | Time: 3906.55 ms [2020-11-12 02:13:03 main:574] : INFO : Epoch 113 | loss: 0.0526251 | val_loss: 0.053096 | Time: 4018.13 ms [2020-11-12 02:13:07 main:574] : INFO : Epoch 114 | loss: 0.0528727 | val_loss: 0.0528458 | Time: 3719.14 ms [2020-11-12 02:13:11 main:574] : INFO : Epoch 115 | loss: 0.052634 | val_loss: 0.0526152 | Time: 3901.65 ms [2020-11-12 02:13:15 main:574] : INFO : Epoch 116 | loss: 0.0523781 | val_loss: 0.0524407 | Time: 3843.67 ms [2020-11-12 02:13:19 main:574] : INFO : Epoch 117 | loss: 0.0524185 | val_loss: 0.0524092 | Time: 3835.91 ms [2020-11-12 02:13:23 main:574] : INFO : Epoch 118 | loss: 0.0521867 | val_loss: 0.0521591 | Time: 3964.98 ms [2020-11-12 02:13:26 main:574] : INFO : Epoch 119 | loss: 0.0519185 | val_loss: 0.0520055 | Time: 3751.55 ms [2020-11-12 02:13:30 main:574] : INFO : Epoch 120 | loss: 0.0515793 | val_loss: 0.051661 | Time: 3963.97 ms [2020-11-12 02:13:34 main:574] : INFO : Epoch 121 | loss: 0.0515358 | val_loss: 0.0516921 | Time: 3900.29 ms [2020-11-12 02:13:38 main:574] : INFO : Epoch 122 | loss: 0.0518082 | val_loss: 0.0516211 | Time: 3796.86 ms [2020-11-12 02:13:42 main:574] : INFO : Epoch 123 | loss: 0.0513046 | val_loss: 0.0510934 | Time: 3961.23 ms [2020-11-12 02:13:46 main:574] : INFO : Epoch 124 | loss: 0.0508949 | val_loss: 0.0508461 | Time: 3716.22 ms [2020-11-12 02:13:50 main:574] : INFO : Epoch 125 | loss: 0.0504778 | val_loss: 0.0502788 | Time: 4011.41 ms [2020-11-12 02:13:54 main:574] : INFO : Epoch 126 | loss: 0.0499474 | val_loss: 0.0497725 | Time: 4113.87 ms [2020-11-12 02:13:58 main:574] : INFO : Epoch 127 | loss: 0.049562 | val_loss: 0.0495488 | Time: 3717.78 ms [2020-11-12 02:14:02 main:574] : INFO : Epoch 128 | loss: 0.0492343 | val_loss: 0.0495332 | Time: 3938.38 ms [2020-11-12 02:14:06 main:574] : INFO : Epoch 129 | loss: 0.049366 | val_loss: 0.04934 | Time: 3698.1 ms [2020-11-12 02:14:10 main:574] : INFO : Epoch 130 | loss: 0.0486744 | val_loss: 0.0485851 | Time: 3970.97 ms [2020-11-12 02:14:14 main:574] : INFO : Epoch 131 | loss: 0.0479781 | val_loss: 0.0480665 | Time: 3971.79 ms [2020-11-12 02:14:18 main:574] : INFO : Epoch 132 | loss: 0.0488177 | val_loss: 0.0501908 | Time: 3695.1 ms [2020-11-12 02:14:22 main:574] : INFO : Epoch 133 | loss: 0.0496623 | val_loss: 0.0494543 | Time: 3959.39 ms [2020-11-12 02:14:25 main:574] : INFO : Epoch 134 | loss: 0.0497856 | val_loss: 0.0500828 | Time: 3735.48 ms [2020-11-12 02:14:29 main:574] : INFO : Epoch 135 | loss: 0.0495562 | val_loss: 0.0494053 | Time: 3942.51 ms [2020-11-12 02:14:33 main:574] : INFO : Epoch 136 | loss: 0.0487621 | val_loss: 0.0492025 | Time: 3957.64 ms [2020-11-12 02:14:37 main:574] : INFO : Epoch 137 | loss: 0.0483046 | val_loss: 0.0482248 | Time: 3704.51 ms [2020-11-12 02:14:41 main:574] : INFO : Epoch 138 | loss: 0.0479679 | val_loss: 0.0482928 | Time: 3901.89 ms [2020-11-12 02:14:45 main:574] : INFO : Epoch 139 | loss: 0.047439 | val_loss: 0.0472712 | Time: 3794.46 ms [2020-11-12 02:14:49 main:574] : INFO : Epoch 140 | loss: 0.0479423 | val_loss: 0.0482197 | Time: 3864.69 ms [2020-11-12 02:14:53 main:574] : INFO : Epoch 141 | loss: 0.0475892 | val_loss: 0.0476251 | Time: 3942.42 ms [2020-11-12 02:14:57 main:574] : INFO : Epoch 142 | loss: 0.0470609 | val_loss: 0.0474476 | Time: 3716.39 ms [2020-11-12 02:15:01 main:574] : INFO : Epoch 143 | loss: 0.0465934 | val_loss: 0.0469947 | Time: 3999.51 ms [2020-11-12 02:15:05 main:574] : INFO : Epoch 144 | loss: 0.0474408 | val_loss: 0.0481755 | Time: 3864.79 ms [2020-11-12 02:15:08 main:574] : INFO : Epoch 145 | loss: 0.0473209 | val_loss: 0.0474 | Time: 3815.33 ms [2020-11-12 02:15:12 main:574] : INFO : Epoch 146 | loss: 0.0478303 | val_loss: 0.048515 | Time: 3972.56 ms [2020-11-12 02:15:16 main:574] : INFO : Epoch 147 | loss: 0.0477302 | val_loss: 0.0477011 | Time: 3708.17 ms [2020-11-12 02:15:20 main:574] : INFO : Epoch 148 | loss: 0.0470211 | val_loss: 0.0469191 | Time: 3950.46 ms [2020-11-12 02:15:24 main:574] : INFO : Epoch 149 | loss: 0.046432 | val_loss: 0.0468217 | Time: 3918.24 ms [2020-11-12 02:15:28 main:574] : INFO : Epoch 150 | loss: 0.0461778 | val_loss: 0.0458439 | Time: 3738.5 ms [2020-11-12 02:15:32 main:574] : INFO : Epoch 151 | loss: 0.044983 | val_loss: 0.0447514 | Time: 3990.23 ms [2020-11-12 02:15:36 main:574] : INFO : Epoch 152 | loss: 0.044229 | val_loss: 0.0461347 | Time: 3682.86 ms [2020-11-12 02:15:40 main:574] : INFO : Epoch 153 | loss: 0.0453001 | val_loss: 0.0460701 | Time: 3953.27 ms [2020-11-12 02:15:44 main:574] : INFO : Epoch 154 | loss: 0.0461228 | val_loss: 0.0459606 | Time: 3869.89 ms [2020-11-12 02:15:47 main:574] : INFO : Epoch 155 | loss: 0.0454156 | val_loss: 0.0453847 | Time: 3725.15 ms [2020-11-12 02:15:52 main:574] : INFO : Epoch 156 | loss: 0.0451399 | val_loss: 0.0448313 | Time: 3954.26 ms [2020-11-12 02:15:55 main:574] : INFO : Epoch 157 | loss: 0.0453061 | val_loss: 0.0457849 | Time: 3704.86 ms [2020-11-12 02:15:59 main:574] : INFO : Epoch 158 | loss: 0.0447268 | val_loss: 0.0448116 | Time: 3919.8 ms [2020-11-12 02:16:03 main:574] : INFO : Epoch 159 | loss: 0.0436265 | val_loss: 0.0436876 | Time: 3969.04 ms [2020-11-12 02:16:07 main:574] : INFO : Epoch 160 | loss: 0.0436233 | val_loss: 0.0451822 | Time: 3735.76 ms [2020-11-12 02:16:11 main:574] : INFO : Epoch 161 | loss: 0.044514 | val_loss: 0.0449569 | Time: 3989.75 ms [2020-11-12 02:16:15 main:574] : INFO : Epoch 162 | loss: 0.0440431 | val_loss: 0.0438768 | Time: 3782.47 ms [2020-11-12 02:16:19 main:574] : INFO : Epoch 163 | loss: 0.047331 | val_loss: 0.0500251 | Time: 3925.74 ms [2020-11-12 02:16:23 main:574] : INFO : Epoch 164 | loss: 0.0496034 | val_loss: 0.0488477 | Time: 3953.86 ms [2020-11-12 02:16:27 main:574] : INFO : Epoch 165 | loss: 0.0484008 | val_loss: 0.0485174 | Time: 3704.63 ms [2020-11-12 02:16:31 main:574] : INFO : Epoch 166 | loss: 0.0483969 | val_loss: 0.049087 | Time: 3932.94 ms [2020-11-12 02:16:35 main:574] : INFO : Epoch 167 | loss: 0.0500309 | val_loss: 0.0521498 | Time: 3822.72 ms [2020-11-12 02:16:38 main:574] : INFO : Epoch 168 | loss: 0.0519967 | val_loss: 0.0524399 | Time: 3751.73 ms [2020-11-12 02:16:42 main:574] : INFO : Epoch 169 | loss: 0.0522609 | val_loss: 0.0529309 | Time: 3932.06 ms [2020-11-12 02:16:46 main:574] : INFO : Epoch 170 | loss: 0.0524074 | val_loss: 0.0525966 | Time: 3704.27 ms [2020-11-12 02:16:50 main:574] : INFO : Epoch 171 | loss: 0.0523663 | val_loss: 0.052747 | Time: 4005.25 ms [2020-11-12 02:16:54 main:574] : INFO : Epoch 172 | loss: 0.0531648 | val_loss: 0.0544275 | Time: 3964.79 ms [2020-11-12 02:16:58 main:574] : INFO : Epoch 173 | loss: 0.05411 | val_loss: 0.054256 | Time: 3697.41 ms [2020-11-12 02:17:02 main:574] : INFO : Epoch 174 | loss: 0.0551881 | val_loss: 0.0571599 | Time: 3984.17 ms [2020-11-12 02:17:06 main:574] : INFO : Epoch 175 | loss: 0.0570152 | val_loss: 0.0570679 | Time: 3728.15 ms [2020-11-12 02:17:10 main:574] : INFO : Epoch 176 | loss: 0.0569728 | val_loss: 0.0570918 | Time: 3992.71 ms [2020-11-12 02:17:14 main:574] : INFO : Epoch 177 | loss: 0.0569791 | val_loss: 0.0570351 | Time: 3960.43 ms [2020-11-12 02:17:17 main:574] : INFO : Epoch 178 | loss: 0.0568648 | val_loss: 0.0569417 | Time: 3701.54 ms [2020-11-12 02:17:21 main:574] : INFO : Epoch 179 | loss: 0.056864 | val_loss: 0.0570866 | Time: 3924.64 ms [2020-11-12 02:17:25 main:574] : INFO : Epoch 180 | loss: 0.0569619 | val_loss: 0.0570697 | Time: 3738.17 ms [2020-11-12 02:17:29 main:574] : INFO : Epoch 181 | loss: 0.0571668 | val_loss: 0.0572631 | Time: 4019.66 ms [2020-11-12 02:17:33 main:574] : INFO : Epoch 182 | loss: 0.0571825 | val_loss: 0.0572509 | Time: 3906.86 ms [2020-11-12 02:17:37 main:574] : INFO : Epoch 183 | loss: 0.0571577 | val_loss: 0.0572016 | Time: 3726.53 ms [2020-11-12 02:17:41 main:574] : INFO : Epoch 184 | loss: 0.0571396 | val_loss: 0.0572237 | Time: 3909.21 ms [2020-11-12 02:17:45 main:574] : INFO : Epoch 185 | loss: 0.057103 | val_loss: 0.0571739 | Time: 3776.96 ms [2020-11-12 02:17:49 main:574] : INFO : Epoch 186 | loss: 0.0570156 | val_loss: 0.0570796 | Time: 3879.14 ms [2020-11-12 02:17:53 main:574] : INFO : Epoch 187 | loss: 0.0570181 | val_loss: 0.057048 | Time: 3909.06 ms [2020-11-12 02:17:57 main:574] : INFO : Epoch 188 | loss: 0.0572464 | val_loss: 0.0574808 | Time: 3733.12 ms [2020-11-12 02:18:01 main:574] : INFO : Epoch 189 | loss: 0.0572774 | val_loss: 0.0574405 | Time: 4009.65 ms [2020-11-12 02:18:05 main:574] : INFO : Epoch 190 | loss: 0.0572071 | val_loss: 0.057374 | Time: 3877.31 ms [2020-11-12 02:18:08 main:574] : INFO : Epoch 191 | loss: 0.0571539 | val_loss: 0.0573138 | Time: 3761.02 ms [2020-11-12 02:18:12 main:574] : INFO : Epoch 192 | loss: 0.0570805 | val_loss: 0.0571983 | Time: 3957.25 ms [2020-11-12 02:18:12 main:597] : INFO : Saving trained model to model-final.pt, val_loss 0.0571983 [2020-11-12 02:18:12 main:603] : INFO : Saving end state to config to file [2020-11-12 02:18:12 main:608] : INFO : Success, exiting.. 02:18:12 (10388): 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)