| Name | rand_automata_0074-1604983445-2275-1_2 |
| Workunit | 1288139 |
| 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 57 sec |
| CPU time | 12 min 19 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 |
<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 01:52:37 main:435] : INFO : Set logging level to 1 [2020-11-12 01:52:37 main:441] : INFO : Running in BOINC Client mode [2020-11-12 01:52:37 main:444] : INFO : Resolving all filenames [2020-11-12 01:52:37 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0074-train-val-dataset.hdf5 (exists = 1) [2020-11-12 01:52:37 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0074-1604983445-2275-1_2_r966463035_1 (exists = 0) [2020-11-12 01:52:37 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0074-1604983445-2275-1_2_r966463035_0 (exists = 0) [2020-11-12 01:52:37 main:452] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0074-1604983445-2275-1 (exists = 1) [2020-11-12 01:52:37 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-12 01:52:37 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0074-train-val-dataset.hdf5 [2020-11-12 01:52:37 main:474] : INFO : Configuration: [2020-11-12 01:52:37 main:475] : INFO : Model type: LSTM [2020-11-12 01:52:37 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-12 01:52:37 main:477] : INFO : Max Epochs: 192 [2020-11-12 01:52:37 main:478] : INFO : Batch Size: 32 [2020-11-12 01:52:37 main:479] : INFO : Learning Rate: 0.001 [2020-11-12 01:52:37 main:480] : INFO : Patience: 10 [2020-11-12 01:52:37 main:481] : INFO : Hidden Width: 64 [2020-11-12 01:52:37 main:482] : INFO : # Recurrent Layers: 4 [2020-11-12 01:52:37 main:483] : INFO : # Backend Layers: 2 [2020-11-12 01:52:37 main:484] : INFO : # Threads: 1 [2020-11-12 01:52:38 main:486] : INFO : Preparing Dataset [2020-11-12 01:52:38 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0074-train-val-dataset.hdf5 into memory [2020-11-12 01:52:38 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0074-train-val-dataset.hdf5 into memory [2020-11-12 01:52:40 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-12 01:52:40 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0074-train-val-dataset.hdf5 into memory [2020-11-12 01:52:40 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0074-train-val-dataset.hdf5 into memory [2020-11-12 01:52:40 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-12 01:52:40 main:494] : INFO : Creating Model [2020-11-12 01:52:40 main:507] : INFO : Preparing config file [2020-11-12 01:52:40 main:519] : INFO : Creating new config file [2020-11-12 01:52:40 main:538] : INFO : This is a continuation WU, loading previous network [2020-11-12 01:52:41 main:559] : INFO : Loading DataLoader into Memory [2020-11-12 01:52:41 main:562] : INFO : Starting Training [2020-11-12 01:52:45 main:574] : INFO : Epoch 1 | loss: 0.000276095 | val_loss: 0.000261584 | Time: 4018.74 ms [2020-11-12 01:52:49 main:574] : INFO : Epoch 2 | loss: 0.000254733 | val_loss: 0.000260462 | Time: 3935.22 ms [2020-11-12 01:52:53 main:574] : INFO : Epoch 3 | loss: 0.000251267 | val_loss: 0.000255422 | Time: 3975.81 ms [2020-11-12 01:52:57 main:574] : INFO : Epoch 4 | loss: 0.000247389 | val_loss: 0.000252254 | Time: 3743.72 ms [2020-11-12 01:53:01 main:574] : INFO : Epoch 5 | loss: 0.000242722 | val_loss: 0.000247212 | Time: 3930.84 ms [2020-11-12 01:53:05 main:574] : INFO : Epoch 6 | loss: 0.000238339 | val_loss: 0.000241468 | Time: 3797.79 ms [2020-11-12 01:53:09 main:574] : INFO : Epoch 7 | loss: 0.000234567 | val_loss: 0.00024015 | Time: 3799.75 ms [2020-11-12 01:53:13 main:574] : INFO : Epoch 8 | loss: 0.000229893 | val_loss: 0.00023435 | Time: 3979.39 ms [2020-11-12 01:53:17 main:574] : INFO : Epoch 9 | loss: 0.000225765 | val_loss: 0.000231298 | Time: 3722.41 ms [2020-11-12 01:53:21 main:574] : INFO : Epoch 10 | loss: 0.00022229 | val_loss: 0.000228812 | Time: 3961.19 ms [2020-11-12 01:53:25 main:574] : INFO : Epoch 11 | loss: 0.000218973 | val_loss: 0.00022142 | Time: 3965.76 ms [2020-11-12 01:53:29 main:574] : INFO : Epoch 12 | loss: 0.000215053 | val_loss: 0.00021841 | Time: 3932.02 ms [2020-11-12 01:53:33 main:574] : INFO : Epoch 13 | loss: 0.000212526 | val_loss: 0.000214708 | Time: 3970.08 ms [2020-11-12 01:53:36 main:574] : INFO : Epoch 14 | loss: 0.000208068 | val_loss: 0.000212473 | Time: 3722.47 ms [2020-11-12 01:53:40 main:574] : INFO : Epoch 15 | loss: 0.000204686 | val_loss: 0.000211503 | Time: 3946.81 ms [2020-11-12 01:53:44 main:574] : INFO : Epoch 16 | loss: 0.00020179 | val_loss: 0.000206571 | Time: 3943.25 ms [2020-11-12 01:53:48 main:574] : INFO : Epoch 17 | loss: 0.000199008 | val_loss: 0.000203225 | Time: 3806.35 ms [2020-11-12 01:53:52 main:574] : INFO : Epoch 18 | loss: 0.000195158 | val_loss: 0.000201785 | Time: 3954.99 ms [2020-11-12 01:53:56 main:574] : INFO : Epoch 19 | loss: 0.000193409 | val_loss: 0.000196959 | Time: 3727.33 ms [2020-11-12 01:54:00 main:574] : INFO : Epoch 20 | loss: 0.000189572 | val_loss: 0.000192533 | Time: 3935.1 ms [2020-11-12 01:54:04 main:574] : INFO : Epoch 21 | loss: 0.016126 | val_loss: 0.0523751 | Time: 3970.97 ms [2020-11-12 01:54:08 main:574] : INFO : Epoch 22 | loss: 0.0505924 | val_loss: 0.059986 | Time: 3717.99 ms [2020-11-12 01:54:12 main:574] : INFO : Epoch 23 | loss: 0.057368 | val_loss: 0.0548113 | Time: 3957.6 ms [2020-11-12 01:54:16 main:574] : INFO : Epoch 24 | loss: 0.0516118 | val_loss: 0.0489407 | Time: 3767.91 ms [2020-11-12 01:54:20 main:574] : INFO : Epoch 25 | loss: 0.0517642 | val_loss: 0.0559627 | Time: 4025.23 ms [2020-11-12 01:54:24 main:574] : INFO : Epoch 26 | loss: 0.0511284 | val_loss: 0.0541533 | Time: 3946.69 ms [2020-11-12 01:54:27 main:574] : INFO : Epoch 27 | loss: 0.0441562 | val_loss: 0.0365641 | Time: 3716 ms [2020-11-12 01:54:31 main:574] : INFO : Epoch 28 | loss: 0.0483372 | val_loss: 0.0473916 | Time: 3936.53 ms [2020-11-12 01:54:35 main:574] : INFO : Epoch 29 | loss: 0.0442348 | val_loss: 0.046137 | Time: 3765.11 ms [2020-11-12 01:54:39 main:574] : INFO : Epoch 30 | loss: 0.0433907 | val_loss: 0.0493333 | Time: 3967.33 ms [2020-11-12 01:54:43 main:574] : INFO : Epoch 31 | loss: 0.0509104 | val_loss: 0.0563363 | Time: 3996.69 ms [2020-11-12 01:54:47 main:574] : INFO : Epoch 32 | loss: 0.0522884 | val_loss: 0.0468691 | Time: 3757.28 ms [2020-11-12 01:54:51 main:574] : INFO : Epoch 33 | loss: 0.0484342 | val_loss: 0.057147 | Time: 3955.09 ms [2020-11-12 01:54:55 main:574] : INFO : Epoch 34 | loss: 0.0557311 | val_loss: 0.0537626 | Time: 3770.29 ms [2020-11-12 01:54:59 main:574] : INFO : Epoch 35 | loss: 0.0518641 | val_loss: 0.0496903 | Time: 3900.59 ms [2020-11-12 01:55:03 main:574] : INFO : Epoch 36 | loss: 0.0560993 | val_loss: 0.057305 | Time: 3965.88 ms [2020-11-12 01:55:07 main:574] : INFO : Epoch 37 | loss: 0.0563643 | val_loss: 0.055437 | Time: 3713.04 ms [2020-11-12 01:55:11 main:574] : INFO : Epoch 38 | loss: 0.0543313 | val_loss: 0.0532389 | Time: 3981.82 ms [2020-11-12 01:55:15 main:574] : INFO : Epoch 39 | loss: 0.0516717 | val_loss: 0.0499833 | Time: 3910.71 ms [2020-11-12 01:55:18 main:574] : INFO : Epoch 40 | loss: 0.0516462 | val_loss: 0.0531892 | Time: 3777.32 ms [2020-11-12 01:55:22 main:574] : INFO : Epoch 41 | loss: 0.0510567 | val_loss: 0.0488309 | Time: 3994.09 ms [2020-11-12 01:55:26 main:574] : INFO : Epoch 42 | loss: 0.0448104 | val_loss: 0.0425284 | Time: 3730.25 ms [2020-11-12 01:55:30 main:574] : INFO : Epoch 43 | loss: 0.0429672 | val_loss: 0.051123 | Time: 3948.97 ms [2020-11-12 01:55:34 main:574] : INFO : Epoch 44 | loss: 0.0449393 | val_loss: 0.0384214 | Time: 3953.28 ms [2020-11-12 01:55:38 main:574] : INFO : Epoch 45 | loss: 0.040519 | val_loss: 0.0459333 | Time: 3719.58 ms [2020-11-12 01:55:42 main:574] : INFO : Epoch 46 | loss: 0.0431868 | val_loss: 0.0449927 | Time: 3957.45 ms [2020-11-12 01:55:46 main:574] : INFO : Epoch 47 | loss: 0.0513631 | val_loss: 0.0615382 | Time: 3692.28 ms [2020-11-12 01:55:50 main:574] : INFO : Epoch 48 | loss: 0.0610931 | val_loss: 0.0606251 | Time: 3914.43 ms [2020-11-12 01:55:54 main:574] : INFO : Epoch 49 | loss: 0.0603679 | val_loss: 0.0599082 | Time: 3941.92 ms [2020-11-12 01:55:57 main:574] : INFO : Epoch 50 | loss: 0.0596478 | val_loss: 0.059143 | Time: 3741.42 ms [2020-11-12 01:56:01 main:574] : INFO : Epoch 51 | loss: 0.0589139 | val_loss: 0.0584247 | Time: 3947.38 ms [2020-11-12 01:56:05 main:574] : INFO : Epoch 52 | loss: 0.0581912 | val_loss: 0.0576925 | Time: 3734.32 ms [2020-11-12 01:56:09 main:574] : INFO : Epoch 53 | loss: 0.0574286 | val_loss: 0.056943 | Time: 3957.18 ms [2020-11-12 01:56:13 main:574] : INFO : Epoch 54 | loss: 0.0566769 | val_loss: 0.0561663 | Time: 3961.13 ms [2020-11-12 01:56:17 main:574] : INFO : Epoch 55 | loss: 0.0558065 | val_loss: 0.0551838 | Time: 3748.71 ms [2020-11-12 01:56:21 main:574] : INFO : Epoch 56 | loss: 0.0547259 | val_loss: 0.0540275 | Time: 3964.88 ms [2020-11-12 01:56:25 main:574] : INFO : Epoch 57 | loss: 0.0534691 | val_loss: 0.052686 | Time: 3748.76 ms [2020-11-12 01:56:29 main:574] : INFO : Epoch 58 | loss: 0.0521037 | val_loss: 0.0513063 | Time: 3888.27 ms [2020-11-12 01:56:33 main:574] : INFO : Epoch 59 | loss: 0.0503725 | val_loss: 0.0494673 | Time: 3934.98 ms [2020-11-12 01:56:37 main:574] : INFO : Epoch 60 | loss: 0.0481825 | val_loss: 0.0468084 | Time: 3706.87 ms [2020-11-12 01:56:41 main:574] : INFO : Epoch 61 | loss: 0.0463258 | val_loss: 0.0456669 | Time: 3918.02 ms [2020-11-12 01:56:45 main:574] : INFO : Epoch 62 | loss: 0.0441785 | val_loss: 0.0419268 | Time: 3836.07 ms [2020-11-12 01:56:48 main:574] : INFO : Epoch 63 | loss: 0.0404449 | val_loss: 0.0531593 | Time: 3723.93 ms [2020-11-12 01:56:52 main:574] : INFO : Epoch 64 | loss: 0.0527668 | val_loss: 0.0495681 | Time: 3895.56 ms [2020-11-12 01:56:56 main:574] : INFO : Epoch 65 | loss: 0.0458082 | val_loss: 0.0423839 | Time: 3702.24 ms [2020-11-12 01:57:00 main:574] : INFO : Epoch 66 | loss: 0.0419298 | val_loss: 0.0412051 | Time: 3961.98 ms [2020-11-12 01:57:04 main:574] : INFO : Epoch 67 | loss: 0.0432137 | val_loss: 0.0412553 | Time: 3992.7 ms [2020-11-12 01:57:08 main:574] : INFO : Epoch 68 | loss: 0.0417291 | val_loss: 0.0390807 | Time: 3716.98 ms [2020-11-12 01:57:12 main:574] : INFO : Epoch 69 | loss: 0.0330749 | val_loss: 0.0294385 | Time: 3965.95 ms [2020-11-12 01:57:16 main:574] : INFO : Epoch 70 | loss: 0.0432717 | val_loss: 0.0459942 | Time: 3749.16 ms [2020-11-12 01:57:20 main:574] : INFO : Epoch 71 | loss: 0.0463505 | val_loss: 0.0427487 | Time: 3973.2 ms [2020-11-12 01:57:24 main:574] : INFO : Epoch 72 | loss: 0.0520992 | val_loss: 0.0520896 | Time: 3980.32 ms [2020-11-12 01:57:27 main:574] : INFO : Epoch 73 | loss: 0.0490926 | val_loss: 0.0462758 | Time: 3734.25 ms [2020-11-12 01:57:31 main:574] : INFO : Epoch 74 | loss: 0.042475 | val_loss: 0.0408545 | Time: 3981.78 ms [2020-11-12 01:57:35 main:574] : INFO : Epoch 75 | loss: 0.0435705 | val_loss: 0.0432336 | Time: 3698.89 ms [2020-11-12 01:57:39 main:574] : INFO : Epoch 76 | loss: 0.0569705 | val_loss: 0.0586858 | Time: 3982.85 ms [2020-11-12 01:57:43 main:574] : INFO : Epoch 77 | loss: 0.058476 | val_loss: 0.0581295 | Time: 3952.7 ms [2020-11-12 01:57:47 main:574] : INFO : Epoch 78 | loss: 0.0579274 | val_loss: 0.0575599 | Time: 3689.15 ms [2020-11-12 01:57:51 main:574] : INFO : Epoch 79 | loss: 0.0573431 | val_loss: 0.0569334 | Time: 4022.94 ms [2020-11-12 01:57:55 main:574] : INFO : Epoch 80 | loss: 0.0566911 | val_loss: 0.0562175 | Time: 3797.71 ms [2020-11-12 01:57:59 main:574] : INFO : Epoch 81 | loss: 0.0559267 | val_loss: 0.0553776 | Time: 3914.61 ms [2020-11-12 01:58:03 main:574] : INFO : Epoch 82 | loss: 0.0550298 | val_loss: 0.0544091 | Time: 4008.11 ms [2020-11-12 01:58:07 main:574] : INFO : Epoch 83 | loss: 0.0541204 | val_loss: 0.0541048 | Time: 3762.43 ms [2020-11-12 01:58:11 main:574] : INFO : Epoch 84 | loss: 0.0535585 | val_loss: 0.0528086 | Time: 3949.65 ms [2020-11-12 01:58:15 main:574] : INFO : Epoch 85 | loss: 0.0519924 | val_loss: 0.0510494 | Time: 3851.55 ms [2020-11-12 01:58:19 main:574] : INFO : Epoch 86 | loss: 0.0498393 | val_loss: 0.0484473 | Time: 3828.36 ms [2020-11-12 01:58:23 main:574] : INFO : Epoch 87 | loss: 0.047327 | val_loss: 0.0457814 | Time: 3939.17 ms [2020-11-12 01:58:26 main:574] : INFO : Epoch 88 | loss: 0.0438432 | val_loss: 0.0413382 | Time: 3763.22 ms [2020-11-12 01:58:31 main:574] : INFO : Epoch 89 | loss: 0.0505844 | val_loss: 0.0516905 | Time: 4142.74 ms [2020-11-12 01:58:35 main:574] : INFO : Epoch 90 | loss: 0.0509294 | val_loss: 0.0522821 | Time: 4034.05 ms [2020-11-12 01:58:39 main:574] : INFO : Epoch 91 | loss: 0.0508883 | val_loss: 0.0489595 | Time: 3853.76 ms [2020-11-12 01:58:43 main:574] : INFO : Epoch 92 | loss: 0.047447 | val_loss: 0.0458255 | Time: 3947.74 ms [2020-11-12 01:58:46 main:574] : INFO : Epoch 93 | loss: 0.0433363 | val_loss: 0.0430316 | Time: 3705.7 ms [2020-11-12 01:58:50 main:574] : INFO : Epoch 94 | loss: 0.0466129 | val_loss: 0.04408 | Time: 4019.95 ms [2020-11-12 01:58:54 main:574] : INFO : Epoch 95 | loss: 0.0450838 | val_loss: 0.0444291 | Time: 3923.58 ms [2020-11-12 01:58:58 main:574] : INFO : Epoch 96 | loss: 0.0428016 | val_loss: 0.0430973 | Time: 3780.03 ms [2020-11-12 01:59:02 main:574] : INFO : Epoch 97 | loss: 0.0441087 | val_loss: 0.0504694 | Time: 3985.57 ms [2020-11-12 01:59:06 main:574] : INFO : Epoch 98 | loss: 0.0520648 | val_loss: 0.0529425 | Time: 3737.62 ms [2020-11-12 01:59:10 main:574] : INFO : Epoch 99 | loss: 0.0507552 | val_loss: 0.0482022 | Time: 3958.27 ms [2020-11-12 01:59:14 main:574] : INFO : Epoch 100 | loss: 0.0467676 | val_loss: 0.0450536 | Time: 3942.99 ms [2020-11-12 01:59:18 main:574] : INFO : Epoch 101 | loss: 0.0473094 | val_loss: 0.0507176 | Time: 3822.54 ms [2020-11-12 01:59:22 main:574] : INFO : Epoch 102 | loss: 0.0491668 | val_loss: 0.0457673 | Time: 3984.81 ms [2020-11-12 01:59:26 main:574] : INFO : Epoch 103 | loss: 0.0492232 | val_loss: 0.0493209 | Time: 3730.55 ms [2020-11-12 01:59:30 main:574] : INFO : Epoch 104 | loss: 0.0481393 | val_loss: 0.0488333 | Time: 3950.4 ms [2020-11-12 01:59:34 main:574] : INFO : Epoch 105 | loss: 0.0459081 | val_loss: 0.0440345 | Time: 3963.68 ms [2020-11-12 01:59:37 main:574] : INFO : Epoch 106 | loss: 0.0438123 | val_loss: 0.0453576 | Time: 3733.04 ms [2020-11-12 01:59:41 main:574] : INFO : Epoch 107 | loss: 0.0425499 | val_loss: 0.0484817 | Time: 3952.91 ms [2020-11-12 01:59:45 main:574] : INFO : Epoch 108 | loss: 0.057713 | val_loss: 0.0563079 | Time: 3726.68 ms [2020-11-12 01:59:49 main:574] : INFO : Epoch 109 | loss: 0.0547138 | val_loss: 0.0530242 | Time: 3958.19 ms [2020-11-12 01:59:53 main:574] : INFO : Epoch 110 | loss: 0.0511949 | val_loss: 0.0491493 | Time: 3992.64 ms [2020-11-12 01:59:57 main:574] : INFO : Epoch 111 | loss: 0.048151 | val_loss: 0.0477732 | Time: 3694.49 ms [2020-11-12 02:00:01 main:574] : INFO : Epoch 112 | loss: 0.0463642 | val_loss: 0.058391 | Time: 4000.49 ms [2020-11-12 02:00:05 main:574] : INFO : Epoch 113 | loss: 0.0588432 | val_loss: 0.0586751 | Time: 3778.81 ms [2020-11-12 02:00:09 main:574] : INFO : Epoch 114 | loss: 0.0585467 | val_loss: 0.0584294 | Time: 3858.3 ms [2020-11-12 02:00:13 main:574] : INFO : Epoch 115 | loss: 0.0583063 | val_loss: 0.0582077 | Time: 3923.44 ms [2020-11-12 02:00:17 main:574] : INFO : Epoch 116 | loss: 0.0580864 | val_loss: 0.0579667 | Time: 3777.64 ms [2020-11-12 02:00:21 main:574] : INFO : Epoch 117 | loss: 0.0578608 | val_loss: 0.0577523 | Time: 4019.37 ms [2020-11-12 02:00:25 main:574] : INFO : Epoch 118 | loss: 0.0576381 | val_loss: 0.0575371 | Time: 3858.06 ms [2020-11-12 02:00:28 main:574] : INFO : Epoch 119 | loss: 0.0574226 | val_loss: 0.0573123 | Time: 3833.35 ms [2020-11-12 02:00:32 main:574] : INFO : Epoch 120 | loss: 0.0571939 | val_loss: 0.0570842 | Time: 3950.08 ms [2020-11-12 02:00:36 main:574] : INFO : Epoch 121 | loss: 0.0569702 | val_loss: 0.0568666 | Time: 3758.99 ms [2020-11-12 02:00:40 main:574] : INFO : Epoch 122 | loss: 0.0567252 | val_loss: 0.0566079 | Time: 3927.58 ms [2020-11-12 02:00:44 main:574] : INFO : Epoch 123 | loss: 0.0564606 | val_loss: 0.0563243 | Time: 3950.17 ms [2020-11-12 02:00:48 main:574] : INFO : Epoch 124 | loss: 0.0561491 | val_loss: 0.0559686 | Time: 3793.83 ms [2020-11-12 02:00:52 main:574] : INFO : Epoch 125 | loss: 0.0557798 | val_loss: 0.0555691 | Time: 4005.6 ms [2020-11-12 02:00:56 main:574] : INFO : Epoch 126 | loss: 0.0553648 | val_loss: 0.0551182 | Time: 3694.77 ms [2020-11-12 02:01:00 main:574] : INFO : Epoch 127 | loss: 0.0549239 | val_loss: 0.0546564 | Time: 3898.27 ms [2020-11-12 02:01:04 main:574] : INFO : Epoch 128 | loss: 0.0544487 | val_loss: 0.0541701 | Time: 3929.19 ms [2020-11-12 02:01:08 main:574] : INFO : Epoch 129 | loss: 0.0539656 | val_loss: 0.0536365 | Time: 3725.58 ms [2020-11-12 02:01:12 main:574] : INFO : Epoch 130 | loss: 0.0534189 | val_loss: 0.0530727 | Time: 4008.3 ms [2020-11-12 02:01:15 main:574] : INFO : Epoch 131 | loss: 0.0527606 | val_loss: 0.0523401 | Time: 3703.32 ms [2020-11-12 02:01:20 main:574] : INFO : Epoch 132 | loss: 0.0519952 | val_loss: 0.0515896 | Time: 4005.54 ms [2020-11-12 02:01:24 main:574] : INFO : Epoch 133 | loss: 0.051182 | val_loss: 0.050747 | Time: 3951.05 ms [2020-11-12 02:01:27 main:574] : INFO : Epoch 134 | loss: 0.050238 | val_loss: 0.0498241 | Time: 3727.52 ms [2020-11-12 02:01:31 main:574] : INFO : Epoch 135 | loss: 0.049148 | val_loss: 0.0485779 | Time: 4012.49 ms [2020-11-12 02:01:35 main:574] : INFO : Epoch 136 | loss: 0.0478181 | val_loss: 0.0475212 | Time: 3753.06 ms [2020-11-12 02:01:39 main:574] : INFO : Epoch 137 | loss: 0.0465896 | val_loss: 0.0463654 | Time: 3943.58 ms [2020-11-12 02:01:43 main:574] : INFO : Epoch 138 | loss: 0.0459713 | val_loss: 0.0489004 | Time: 3943.5 ms [2020-11-12 02:01:47 main:574] : INFO : Epoch 139 | loss: 0.0475773 | val_loss: 0.0468856 | Time: 3708.27 ms [2020-11-12 02:01:51 main:574] : INFO : Epoch 140 | loss: 0.0455723 | val_loss: 0.0455758 | Time: 3976.13 ms [2020-11-12 02:01:55 main:574] : INFO : Epoch 141 | loss: 0.0435609 | val_loss: 0.0420342 | Time: 3837.78 ms [2020-11-12 02:01:59 main:574] : INFO : Epoch 142 | loss: 0.0416581 | val_loss: 0.0408899 | Time: 3900.13 ms [2020-11-12 02:02:03 main:574] : INFO : Epoch 143 | loss: 0.0469113 | val_loss: 0.0523554 | Time: 3953.02 ms [2020-11-12 02:02:07 main:574] : INFO : Epoch 144 | loss: 0.0503419 | val_loss: 0.0472485 | Time: 3721.45 ms [2020-11-12 02:02:11 main:574] : INFO : Epoch 145 | loss: 0.0461019 | val_loss: 0.0469286 | Time: 3972.54 ms [2020-11-12 02:02:15 main:574] : INFO : Epoch 146 | loss: 0.0446179 | val_loss: 0.0444176 | Time: 3855.78 ms [2020-11-12 02:02:18 main:574] : INFO : Epoch 147 | loss: 0.0485633 | val_loss: 0.0469709 | Time: 3827.19 ms [2020-11-12 02:02:22 main:574] : INFO : Epoch 148 | loss: 0.0472864 | val_loss: 0.0473609 | Time: 3994.92 ms [2020-11-12 02:02:26 main:574] : INFO : Epoch 149 | loss: 0.0451453 | val_loss: 0.042747 | Time: 3755.7 ms [2020-11-12 02:02:30 main:574] : INFO : Epoch 150 | loss: 0.0417474 | val_loss: 0.0395445 | Time: 3999.65 ms [2020-11-12 02:02:34 main:574] : INFO : Epoch 151 | loss: 0.0479372 | val_loss: 0.0483767 | Time: 3985.9 ms [2020-11-12 02:02:38 main:574] : INFO : Epoch 152 | loss: 0.0456141 | val_loss: 0.0430316 | Time: 3772.55 ms [2020-11-12 02:02:42 main:574] : INFO : Epoch 153 | loss: 0.0424 | val_loss: 0.0421328 | Time: 3949 ms [2020-11-12 02:02:46 main:574] : INFO : Epoch 154 | loss: 0.0479473 | val_loss: 0.0472583 | Time: 3725.22 ms [2020-11-12 02:02:50 main:574] : INFO : Epoch 155 | loss: 0.0439988 | val_loss: 0.0412871 | Time: 4009.52 ms [2020-11-12 02:02:54 main:574] : INFO : Epoch 156 | loss: 0.0388106 | val_loss: 0.0374111 | Time: 3963.56 ms [2020-11-12 02:02:58 main:574] : INFO : Epoch 157 | loss: 0.0401924 | val_loss: 0.0429833 | Time: 3721.7 ms [2020-11-12 02:03:02 main:574] : INFO : Epoch 158 | loss: 0.0433723 | val_loss: 0.054981 | Time: 3989.94 ms [2020-11-12 02:03:06 main:574] : INFO : Epoch 159 | loss: 0.0535443 | val_loss: 0.0522541 | Time: 3731.53 ms [2020-11-12 02:03:10 main:574] : INFO : Epoch 160 | loss: 0.0525114 | val_loss: 0.0518884 | Time: 3969.88 ms [2020-11-12 02:03:14 main:574] : INFO : Epoch 161 | loss: 0.0501873 | val_loss: 0.0489957 | Time: 3976.11 ms [2020-11-12 02:03:17 main:574] : INFO : Epoch 162 | loss: 0.0476785 | val_loss: 0.0468491 | Time: 3754.24 ms [2020-11-12 02:03:22 main:574] : INFO : Epoch 163 | loss: 0.0445016 | val_loss: 0.0421133 | Time: 3987.82 ms [2020-11-12 02:03:25 main:574] : INFO : Epoch 164 | loss: 0.0447058 | val_loss: 0.0495614 | Time: 3668.89 ms [2020-11-12 02:03:29 main:574] : INFO : Epoch 165 | loss: 0.0477019 | val_loss: 0.0458716 | Time: 3972.34 ms [2020-11-12 02:03:33 main:574] : INFO : Epoch 166 | loss: 0.0438859 | val_loss: 0.042085 | Time: 3961 ms [2020-11-12 02:03:37 main:574] : INFO : Epoch 167 | loss: 0.0420048 | val_loss: 0.0504305 | Time: 3804.92 ms [2020-11-12 02:03:41 main:574] : INFO : Epoch 168 | loss: 0.0486342 | val_loss: 0.0472882 | Time: 4132.25 ms [2020-11-12 02:03:45 main:574] : INFO : Epoch 169 | loss: 0.0449167 | val_loss: 0.0461678 | Time: 3758.24 ms [2020-11-12 02:03:49 main:574] : INFO : Epoch 170 | loss: 0.0431974 | val_loss: 0.0427933 | Time: 3938.33 ms [2020-11-12 02:03:53 main:574] : INFO : Epoch 171 | loss: 0.0402756 | val_loss: 0.0365224 | Time: 3978.92 ms [2020-11-12 02:03:57 main:574] : INFO : Epoch 172 | loss: 0.0441885 | val_loss: 0.0458548 | Time: 3723.12 ms [2020-11-12 02:04:01 main:574] : INFO : Epoch 173 | loss: 0.0421605 | val_loss: 0.0394772 | Time: 3961.4 ms [2020-11-12 02:04:05 main:574] : INFO : Epoch 174 | loss: 0.0367483 | val_loss: 0.0339583 | Time: 3836.17 ms [2020-11-12 02:04:09 main:574] : INFO : Epoch 175 | loss: 0.0307664 | val_loss: 0.0335629 | Time: 3968.22 ms [2020-11-12 02:04:13 main:574] : INFO : Epoch 176 | loss: 0.0306689 | val_loss: 0.03587 | Time: 3998.28 ms [2020-11-12 02:04:17 main:574] : INFO : Epoch 177 | loss: 0.0317166 | val_loss: 0.0398824 | Time: 3730.52 ms [2020-11-12 02:04:21 main:574] : INFO : Epoch 178 | loss: 0.0454178 | val_loss: 0.0484913 | Time: 3979.03 ms [2020-11-12 02:04:25 main:574] : INFO : Epoch 179 | loss: 0.0563113 | val_loss: 0.0594523 | Time: 3822.83 ms [2020-11-12 02:04:29 main:574] : INFO : Epoch 180 | loss: 0.0593282 | val_loss: 0.0592845 | Time: 3831.14 ms [2020-11-12 02:04:33 main:574] : INFO : Epoch 181 | loss: 0.0592005 | val_loss: 0.0591889 | Time: 3964.22 ms [2020-11-12 02:04:36 main:574] : INFO : Epoch 182 | loss: 0.0590832 | val_loss: 0.0590603 | Time: 3740.39 ms [2020-11-12 02:04:40 main:574] : INFO : Epoch 183 | loss: 0.0589659 | val_loss: 0.0589354 | Time: 3951.7 ms [2020-11-12 02:04:44 main:574] : INFO : Epoch 184 | loss: 0.0588392 | val_loss: 0.0588136 | Time: 3955.29 ms [2020-11-12 02:04:48 main:574] : INFO : Epoch 185 | loss: 0.0587042 | val_loss: 0.0586807 | Time: 3721.81 ms [2020-11-12 02:04:52 main:574] : INFO : Epoch 186 | loss: 0.058561 | val_loss: 0.058546 | Time: 3992.43 ms [2020-11-12 02:04:56 main:574] : INFO : Epoch 187 | loss: 0.058404 | val_loss: 0.058388 | Time: 3747.54 ms [2020-11-12 02:05:00 main:574] : INFO : Epoch 188 | loss: 0.0582181 | val_loss: 0.0581959 | Time: 3951.56 ms [2020-11-12 02:05:04 main:574] : INFO : Epoch 189 | loss: 0.0579909 | val_loss: 0.0579719 | Time: 4009.05 ms [2020-11-12 02:05:08 main:574] : INFO : Epoch 190 | loss: 0.05775 | val_loss: 0.0577145 | Time: 3764.21 ms [2020-11-12 02:05:12 main:574] : INFO : Epoch 191 | loss: 0.0574868 | val_loss: 0.057448 | Time: 3955.47 ms [2020-11-12 02:05:16 main:574] : INFO : Epoch 192 | loss: 0.0571962 | val_loss: 0.0571131 | Time: 3744.84 ms [2020-11-12 02:05:16 main:597] : INFO : Saving trained model to model-final.pt, val_loss 0.0571131 [2020-11-12 02:05:16 main:603] : INFO : Saving end state to config to file [2020-11-12 02:05:16 main:608] : INFO : Success, exiting.. 02:05:16 (10872): 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)