Task 3039758
| Name | rand_automata_0053-1606118004-22924-0_0 |
| Workunit | 1376079 |
| Created | 23 Nov 2020, 7:53:27 UTC |
| Sent | 24 Nov 2020, 1:33:49 UTC |
| Report deadline | 25 Nov 2020, 0:03:49 UTC |
| Received | 24 Nov 2020, 16:06:51 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 4379 |
| Run time | 14 min 38 sec |
| CPU time | 14 min 34 sec |
| Validate state | Valid |
| Credit | 959.40 |
| Device peak FLOPS | 4,493.80 GFLOPS |
| Application version | Machine Learning Dataset Generator (test) v9.80 (cuda10200) x86_64-pc-linux-gnu |
| Peak working set size | 2.18 GB |
| Peak swap size | 10.01 GB |
| Peak disk usage | 2.98 GB |
Stderr output
<core_client_version>7.16.11</core_client_version> <![CDATA[ <stderr_txt> DEBUG: Args: ../../projects/www.mlcathome.org_mlcathome/mlds-gpu_9.80_x86_64-pc-linux-gnu__cuda10200 -a LSTM -w 64 -b 2 -s 32 --lr 0.001 --maxepoch 192 nthreads: 1 gpudev: 0 Re-exec()-ing to set environment correctly Machine Learning Dataset Generator v9.80 (Linux/x86_64) (libTorch: release/1.7 GPU: GeForce GTX 1650 SUPER) [2020-11-24 10:52:00 main:442] : INFO : Set logging level to 1 [2020-11-24 10:52:00 main:448] : INFO : Running in BOINC Client mode [2020-11-24 10:52:00 main:451] : INFO : Resolving all filenames [2020-11-24 10:52:00 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0053-train-val-dataset.hdf5 (exists = 1) [2020-11-24 10:52:00 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0053-1606118004-22924-0_0_r1883286903_1 (exists = 0) [2020-11-24 10:52:00 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0053-1606118004-22924-0_0_r1883286903_0 (exists = 0) [2020-11-24 10:52:00 main:459] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-24 10:52:00 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-24 10:52:00 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0053-train-val-dataset.hdf5 [2020-11-24 10:52:00 main:481] : INFO : Configuration: [2020-11-24 10:52:00 main:482] : INFO : Model type: LSTM [2020-11-24 10:52:00 main:483] : INFO : Validation Loss Threshold: 0.0001 [2020-11-24 10:52:00 main:484] : INFO : Max Epochs: 192 [2020-11-24 10:52:00 main:485] : INFO : Batch Size: 32 [2020-11-24 10:52:00 main:486] : INFO : Learning Rate: 0.001 [2020-11-24 10:52:00 main:487] : INFO : Patience: 10 [2020-11-24 10:52:00 main:488] : INFO : Hidden Width: 64 [2020-11-24 10:52:00 main:489] : INFO : # Recurrent Layers: 4 [2020-11-24 10:52:00 main:490] : INFO : # Backend Layers: 2 [2020-11-24 10:52:00 main:491] : INFO : # Threads: 1 [2020-11-24 10:52:00 main:493] : INFO : Preparing Dataset [2020-11-24 10:52:00 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0053-train-val-dataset.hdf5 into memory [2020-11-24 10:52:00 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0053-train-val-dataset.hdf5 into memory [2020-11-24 10:52:02 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-24 10:52:02 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0053-train-val-dataset.hdf5 into memory [2020-11-24 10:52:02 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0053-train-val-dataset.hdf5 into memory [2020-11-24 10:52:02 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-24 10:52:02 main:501] : INFO : Creating Model [2020-11-24 10:52:02 main:514] : INFO : Preparing config file [2020-11-24 10:52:02 main:526] : INFO : Creating new config file [2020-11-24 10:52:02 main:566] : INFO : Loading DataLoader into Memory [2020-11-24 10:52:02 main:569] : INFO : Starting Training [2020-11-24 10:52:07 main:581] : INFO : Epoch 1 | loss: 0.066147 | val_loss: 0.0659873 | Time: 4877.93 ms [2020-11-24 10:52:11 main:581] : INFO : Epoch 2 | loss: 0.0643641 | val_loss: 0.0627525 | Time: 4381.81 ms [2020-11-24 10:52:16 main:581] : INFO : Epoch 3 | loss: 0.0613929 | val_loss: 0.0596421 | Time: 4401.16 ms [2020-11-24 10:52:20 main:581] : INFO : Epoch 4 | loss: 0.0581875 | val_loss: 0.0569429 | Time: 4561.05 ms [2020-11-24 10:52:25 main:581] : INFO : Epoch 5 | loss: 0.0558679 | val_loss: 0.0549436 | Time: 4343.6 ms [2020-11-24 10:52:29 main:581] : INFO : Epoch 6 | loss: 0.054159 | val_loss: 0.0535072 | Time: 4256.59 ms [2020-11-24 10:52:33 main:581] : INFO : Epoch 7 | loss: 0.0527642 | val_loss: 0.0522627 | Time: 3839.71 ms [2020-11-24 10:52:37 main:581] : INFO : Epoch 8 | loss: 0.0514707 | val_loss: 0.0509118 | Time: 4053.05 ms [2020-11-24 10:52:41 main:581] : INFO : Epoch 9 | loss: 0.050132 | val_loss: 0.0497344 | Time: 4029.45 ms [2020-11-24 10:52:45 main:581] : INFO : Epoch 10 | loss: 0.048748 | val_loss: 0.0484309 | Time: 3871.1 ms [2020-11-24 10:52:49 main:581] : INFO : Epoch 11 | loss: 0.0471 | val_loss: 0.0466268 | Time: 4020.83 ms [2020-11-24 10:52:53 main:581] : INFO : Epoch 12 | loss: 0.0454085 | val_loss: 0.0448347 | Time: 4115.12 ms [2020-11-24 10:52:57 main:581] : INFO : Epoch 13 | loss: 0.0434194 | val_loss: 0.0427089 | Time: 4059.5 ms [2020-11-24 10:53:01 main:581] : INFO : Epoch 14 | loss: 0.0410641 | val_loss: 0.0404874 | Time: 3800.46 ms [2020-11-24 10:53:05 main:581] : INFO : Epoch 15 | loss: 0.038379 | val_loss: 0.0375575 | Time: 3840.58 ms [2020-11-24 10:53:09 main:581] : INFO : Epoch 16 | loss: 0.0349685 | val_loss: 0.0340487 | Time: 3936.14 ms [2020-11-24 10:53:12 main:581] : INFO : Epoch 17 | loss: 0.0315674 | val_loss: 0.0301004 | Time: 3824.32 ms [2020-11-24 10:53:16 main:581] : INFO : Epoch 18 | loss: 0.0276736 | val_loss: 0.0330273 | Time: 3918.45 ms [2020-11-24 10:53:20 main:581] : INFO : Epoch 19 | loss: 0.0421497 | val_loss: 0.0303217 | Time: 4125.86 ms [2020-11-24 10:53:24 main:581] : INFO : Epoch 20 | loss: 0.0269988 | val_loss: 0.0230782 | Time: 3962.05 ms [2020-11-24 10:53:28 main:581] : INFO : Epoch 21 | loss: 0.0226915 | val_loss: 0.022663 | Time: 3887.32 ms [2020-11-24 10:53:32 main:581] : INFO : Epoch 22 | loss: 0.0210893 | val_loss: 0.015583 | Time: 3929.96 ms [2020-11-24 10:53:36 main:581] : INFO : Epoch 23 | loss: 0.0185547 | val_loss: 0.0221973 | Time: 4065.84 ms [2020-11-24 10:53:40 main:581] : INFO : Epoch 24 | loss: 0.0202986 | val_loss: 0.0143016 | Time: 3958.48 ms [2020-11-24 10:53:44 main:581] : INFO : Epoch 25 | loss: 0.0123282 | val_loss: 0.0154711 | Time: 3894.91 ms [2020-11-24 10:53:48 main:581] : INFO : Epoch 26 | loss: 0.0112462 | val_loss: 0.0105713 | Time: 3947.28 ms [2020-11-24 10:53:52 main:581] : INFO : Epoch 27 | loss: 0.0311469 | val_loss: 0.0448234 | Time: 3893.5 ms [2020-11-24 10:53:56 main:581] : INFO : Epoch 28 | loss: 0.0250886 | val_loss: 0.0138457 | Time: 4021.37 ms [2020-11-24 10:54:00 main:581] : INFO : Epoch 29 | loss: 0.0122932 | val_loss: 0.0109891 | Time: 3879.81 ms [2020-11-24 10:54:04 main:581] : INFO : Epoch 30 | loss: 0.00992579 | val_loss: 0.010358 | Time: 3818.16 ms [2020-11-24 10:54:07 main:581] : INFO : Epoch 31 | loss: 0.00918449 | val_loss: 0.0091674 | Time: 3821.81 ms [2020-11-24 10:54:11 main:581] : INFO : Epoch 32 | loss: 0.00854291 | val_loss: 0.00853265 | Time: 3805.55 ms [2020-11-24 10:54:15 main:581] : INFO : Epoch 33 | loss: 0.0080576 | val_loss: 0.00818198 | Time: 3878.19 ms [2020-11-24 10:54:19 main:581] : INFO : Epoch 34 | loss: 0.00777053 | val_loss: 0.00786424 | Time: 3907.99 ms [2020-11-24 10:54:23 main:581] : INFO : Epoch 35 | loss: 0.0074158 | val_loss: 0.00759949 | Time: 3892.99 ms [2020-11-24 10:54:27 main:581] : INFO : Epoch 36 | loss: 0.00715393 | val_loss: 0.00723979 | Time: 4121.27 ms [2020-11-24 10:54:31 main:581] : INFO : Epoch 37 | loss: 0.00687767 | val_loss: 0.00699803 | Time: 3990.9 ms [2020-11-24 10:54:35 main:581] : INFO : Epoch 38 | loss: 0.00663763 | val_loss: 0.00673467 | Time: 4036.64 ms [2020-11-24 10:54:39 main:581] : INFO : Epoch 39 | loss: 0.00749293 | val_loss: 0.00934665 | Time: 4020.47 ms [2020-11-24 10:54:43 main:581] : INFO : Epoch 40 | loss: 0.00667343 | val_loss: 0.00634972 | Time: 4246.17 ms [2020-11-24 10:54:47 main:581] : INFO : Epoch 41 | loss: 0.0060448 | val_loss: 0.00605908 | Time: 4114.66 ms [2020-11-24 10:54:52 main:581] : INFO : Epoch 42 | loss: 0.00580146 | val_loss: 0.00581347 | Time: 4087.06 ms [2020-11-24 10:54:56 main:581] : INFO : Epoch 43 | loss: 0.00559133 | val_loss: 0.00558754 | Time: 3953.92 ms [2020-11-24 10:55:00 main:581] : INFO : Epoch 44 | loss: 0.00539137 | val_loss: 0.00539467 | Time: 4085.25 ms [2020-11-24 10:55:03 main:581] : INFO : Epoch 45 | loss: 0.00520022 | val_loss: 0.00519868 | Time: 3796.63 ms [2020-11-24 10:55:07 main:581] : INFO : Epoch 46 | loss: 0.00501847 | val_loss: 0.00500355 | Time: 3855.2 ms [2020-11-24 10:55:11 main:581] : INFO : Epoch 47 | loss: 0.00483674 | val_loss: 0.00482644 | Time: 3836.4 ms [2020-11-24 10:55:16 main:581] : INFO : Epoch 48 | loss: 0.00466342 | val_loss: 0.00465305 | Time: 4726.06 ms [2020-11-24 10:55:20 main:581] : INFO : Epoch 49 | loss: 0.00449433 | val_loss: 0.00447173 | Time: 4229.09 ms [2020-11-24 10:55:24 main:581] : INFO : Epoch 50 | loss: 0.00432961 | val_loss: 0.00432106 | Time: 4432.33 ms [2020-11-24 10:55:29 main:581] : INFO : Epoch 51 | loss: 0.00416796 | val_loss: 0.00414373 | Time: 4427.68 ms [2020-11-24 10:55:33 main:581] : INFO : Epoch 52 | loss: 0.00411294 | val_loss: 0.00472071 | Time: 3861.32 ms [2020-11-24 10:55:37 main:581] : INFO : Epoch 53 | loss: 0.00394403 | val_loss: 0.00383129 | Time: 3951.22 ms [2020-11-24 10:55:41 main:581] : INFO : Epoch 54 | loss: 0.00371542 | val_loss: 0.00367323 | Time: 3791.09 ms [2020-11-24 10:55:44 main:581] : INFO : Epoch 55 | loss: 0.00356937 | val_loss: 0.00352888 | Time: 3920.31 ms [2020-11-24 10:55:49 main:581] : INFO : Epoch 56 | loss: 0.00343087 | val_loss: 0.00339363 | Time: 4514.51 ms [2020-11-24 10:55:53 main:581] : INFO : Epoch 57 | loss: 0.0032969 | val_loss: 0.00325337 | Time: 3917.08 ms [2020-11-24 10:55:57 main:581] : INFO : Epoch 58 | loss: 0.00316687 | val_loss: 0.00311984 | Time: 3760.41 ms [2020-11-24 10:56:01 main:581] : INFO : Epoch 59 | loss: 0.00304066 | val_loss: 0.00299444 | Time: 4053.59 ms [2020-11-24 10:56:05 main:581] : INFO : Epoch 60 | loss: 0.00292874 | val_loss: 0.00288318 | Time: 4278.12 ms [2020-11-24 10:56:10 main:581] : INFO : Epoch 61 | loss: 0.00280294 | val_loss: 0.0027615 | Time: 4792.63 ms [2020-11-24 10:56:15 main:581] : INFO : Epoch 62 | loss: 0.00268807 | val_loss: 0.00264491 | Time: 4766.72 ms [2020-11-24 10:56:19 main:581] : INFO : Epoch 63 | loss: 0.00257847 | val_loss: 0.00253789 | Time: 4770.52 ms [2020-11-24 10:56:24 main:581] : INFO : Epoch 64 | loss: 0.00247364 | val_loss: 0.00243661 | Time: 4803.87 ms [2020-11-24 10:56:29 main:581] : INFO : Epoch 65 | loss: 0.00237192 | val_loss: 0.00233356 | Time: 4740.76 ms [2020-11-24 10:56:34 main:581] : INFO : Epoch 66 | loss: 0.00227335 | val_loss: 0.00223497 | Time: 4781.73 ms [2020-11-24 10:56:38 main:581] : INFO : Epoch 67 | loss: 0.00217881 | val_loss: 0.00214103 | Time: 4774.26 ms [2020-11-24 10:56:43 main:581] : INFO : Epoch 68 | loss: 0.00208663 | val_loss: 0.00204924 | Time: 4764.74 ms [2020-11-24 10:56:48 main:581] : INFO : Epoch 69 | loss: 0.00199759 | val_loss: 0.00196344 | Time: 4806.42 ms [2020-11-24 10:56:53 main:581] : INFO : Epoch 70 | loss: 0.00191319 | val_loss: 0.0018788 | Time: 4773.76 ms [2020-11-24 10:56:57 main:581] : INFO : Epoch 71 | loss: 0.00183061 | val_loss: 0.00179952 | Time: 4748.05 ms [2020-11-24 10:57:02 main:581] : INFO : Epoch 72 | loss: 0.00175294 | val_loss: 0.00172202 | Time: 4762.54 ms [2020-11-24 10:57:07 main:581] : INFO : Epoch 73 | loss: 0.00167758 | val_loss: 0.00164839 | Time: 4739.45 ms [2020-11-24 10:57:12 main:581] : INFO : Epoch 74 | loss: 0.00160472 | val_loss: 0.00157775 | Time: 4756.18 ms [2020-11-24 10:57:17 main:581] : INFO : Epoch 75 | loss: 0.00153586 | val_loss: 0.00150676 | Time: 4803.11 ms [2020-11-24 10:57:21 main:581] : INFO : Epoch 76 | loss: 0.00146885 | val_loss: 0.0014426 | Time: 4795.82 ms [2020-11-24 10:57:26 main:581] : INFO : Epoch 77 | loss: 0.00140474 | val_loss: 0.00137961 | Time: 4800.62 ms [2020-11-24 10:57:31 main:581] : INFO : Epoch 78 | loss: 0.00134397 | val_loss: 0.00132096 | Time: 4763.31 ms [2020-11-24 10:57:36 main:581] : INFO : Epoch 79 | loss: 0.00128633 | val_loss: 0.00126279 | Time: 4732.33 ms [2020-11-24 10:57:40 main:581] : INFO : Epoch 80 | loss: 0.00122954 | val_loss: 0.00120677 | Time: 4772.5 ms [2020-11-24 10:57:45 main:581] : INFO : Epoch 81 | loss: 0.00117642 | val_loss: 0.00115418 | Time: 4753.21 ms [2020-11-24 10:57:50 main:581] : INFO : Epoch 82 | loss: 0.00112568 | val_loss: 0.00110483 | Time: 4731.2 ms [2020-11-24 10:57:55 main:581] : INFO : Epoch 83 | loss: 0.00107687 | val_loss: 0.00105585 | Time: 4765.75 ms [2020-11-24 10:57:59 main:581] : INFO : Epoch 84 | loss: 0.00103142 | val_loss: 0.00101212 | Time: 4832.93 ms [2020-11-24 10:58:04 main:581] : INFO : Epoch 85 | loss: 0.000987656 | val_loss: 0.000970431 | Time: 4760.92 ms [2020-11-24 10:58:09 main:581] : INFO : Epoch 86 | loss: 0.000945744 | val_loss: 0.000929264 | Time: 4788.79 ms [2020-11-24 10:58:14 main:581] : INFO : Epoch 87 | loss: 0.000905536 | val_loss: 0.000889726 | Time: 4886.15 ms [2020-11-24 10:58:19 main:581] : INFO : Epoch 88 | loss: 0.000866124 | val_loss: 0.000852529 | Time: 4802.53 ms [2020-11-24 10:58:23 main:581] : INFO : Epoch 89 | loss: 0.000830466 | val_loss: 0.000815303 | Time: 4726.32 ms [2020-11-24 10:58:28 main:581] : INFO : Epoch 90 | loss: 0.000795505 | val_loss: 0.000785625 | Time: 4617.19 ms [2020-11-24 10:58:32 main:581] : INFO : Epoch 91 | loss: 0.000763522 | val_loss: 0.000747079 | Time: 4403.32 ms [2020-11-24 10:58:37 main:581] : INFO : Epoch 92 | loss: 0.000731219 | val_loss: 0.000720682 | Time: 4794.22 ms [2020-11-24 10:58:42 main:581] : INFO : Epoch 93 | loss: 0.00070141 | val_loss: 0.000688133 | Time: 4781.69 ms [2020-11-24 10:58:47 main:581] : INFO : Epoch 94 | loss: 0.000672701 | val_loss: 0.000661391 | Time: 4779.17 ms [2020-11-24 10:58:52 main:581] : INFO : Epoch 95 | loss: 0.000645583 | val_loss: 0.00063555 | Time: 4784.6 ms [2020-11-24 10:58:56 main:581] : INFO : Epoch 96 | loss: 0.000619708 | val_loss: 0.000608817 | Time: 4763.15 ms [2020-11-24 10:59:01 main:581] : INFO : Epoch 97 | loss: 0.000595619 | val_loss: 0.000584138 | Time: 4768.02 ms [2020-11-24 10:59:06 main:581] : INFO : Epoch 98 | loss: 0.000571998 | val_loss: 0.000565584 | Time: 4739.28 ms [2020-11-24 10:59:11 main:581] : INFO : Epoch 99 | loss: 0.000550448 | val_loss: 0.000544788 | Time: 4739.46 ms [2020-11-24 10:59:15 main:581] : INFO : Epoch 100 | loss: 0.000528928 | val_loss: 0.000519728 | Time: 4761.12 ms [2020-11-24 10:59:20 main:581] : INFO : Epoch 101 | loss: 0.000508676 | val_loss: 0.000500325 | Time: 4771.98 ms [2020-11-24 10:59:25 main:581] : INFO : Epoch 102 | loss: 0.000489473 | val_loss: 0.000482644 | Time: 4797.11 ms [2020-11-24 10:59:30 main:581] : INFO : Epoch 103 | loss: 0.00047124 | val_loss: 0.000464274 | Time: 4798.19 ms [2020-11-24 10:59:34 main:581] : INFO : Epoch 104 | loss: 0.00045343 | val_loss: 0.000452547 | Time: 4735.88 ms [2020-11-24 10:59:39 main:581] : INFO : Epoch 105 | loss: 0.000437291 | val_loss: 0.000434803 | Time: 4766.25 ms [2020-11-24 10:59:44 main:581] : INFO : Epoch 106 | loss: 0.000421454 | val_loss: 0.000414569 | Time: 4768.08 ms [2020-11-24 10:59:49 main:581] : INFO : Epoch 107 | loss: 0.000406357 | val_loss: 0.000404567 | Time: 4725.39 ms [2020-11-24 10:59:54 main:581] : INFO : Epoch 108 | loss: 0.000392771 | val_loss: 0.000387163 | Time: 4746.89 ms [2020-11-24 10:59:58 main:581] : INFO : Epoch 109 | loss: 0.000378398 | val_loss: 0.000376327 | Time: 4780.02 ms [2020-11-24 11:00:03 main:581] : INFO : Epoch 110 | loss: 0.000365816 | val_loss: 0.000361762 | Time: 4769.19 ms [2020-11-24 11:00:08 main:581] : INFO : Epoch 111 | loss: 0.000352917 | val_loss: 0.000348693 | Time: 4785.75 ms [2020-11-24 11:00:13 main:581] : INFO : Epoch 112 | loss: 0.000341471 | val_loss: 0.000338885 | Time: 4814.15 ms [2020-11-24 11:00:17 main:581] : INFO : Epoch 113 | loss: 0.000330898 | val_loss: 0.000326342 | Time: 4803.53 ms [2020-11-24 11:00:22 main:581] : INFO : Epoch 114 | loss: 0.000319442 | val_loss: 0.000319123 | Time: 4769.5 ms [2020-11-24 11:00:27 main:581] : INFO : Epoch 115 | loss: 0.000309997 | val_loss: 0.000307816 | Time: 4717.84 ms [2020-11-24 11:00:32 main:581] : INFO : Epoch 116 | loss: 0.000299519 | val_loss: 0.000296179 | Time: 4801.91 ms [2020-11-24 11:00:37 main:581] : INFO : Epoch 117 | loss: 0.000290353 | val_loss: 0.000290764 | Time: 4778.9 ms [2020-11-24 11:00:41 main:581] : INFO : Epoch 118 | loss: 0.000281869 | val_loss: 0.000281013 | Time: 4791.77 ms [2020-11-24 11:00:46 main:581] : INFO : Epoch 119 | loss: 0.000273184 | val_loss: 0.000271761 | Time: 4807.18 ms [2020-11-24 11:00:51 main:581] : INFO : Epoch 120 | loss: 0.000264688 | val_loss: 0.00026345 | Time: 4778.85 ms [2020-11-24 11:00:56 main:581] : INFO : Epoch 121 | loss: 0.000257889 | val_loss: 0.000256566 | Time: 4823.87 ms [2020-11-24 11:01:01 main:581] : INFO : Epoch 122 | loss: 0.000249426 | val_loss: 0.000249234 | Time: 4783.5 ms [2020-11-24 11:01:05 main:581] : INFO : Epoch 123 | loss: 0.000242485 | val_loss: 0.000240742 | Time: 4746.83 ms [2020-11-24 11:01:10 main:581] : INFO : Epoch 124 | loss: 0.000233952 | val_loss: 0.000235565 | Time: 4744 ms [2020-11-24 11:01:15 main:581] : INFO : Epoch 125 | loss: 0.000227775 | val_loss: 0.000227624 | Time: 4791.18 ms [2020-11-24 11:01:20 main:581] : INFO : Epoch 126 | loss: 0.000221155 | val_loss: 0.000219779 | Time: 4773.24 ms [2020-11-24 11:01:24 main:581] : INFO : Epoch 127 | loss: 0.000215324 | val_loss: 0.000213943 | Time: 4788.23 ms [2020-11-24 11:01:29 main:581] : INFO : Epoch 128 | loss: 0.000209692 | val_loss: 0.000209602 | Time: 4816.96 ms [2020-11-24 11:01:34 main:581] : INFO : Epoch 129 | loss: 0.000203953 | val_loss: 0.000204284 | Time: 4801.22 ms [2020-11-24 11:01:39 main:581] : INFO : Epoch 130 | loss: 0.000198106 | val_loss: 0.000198766 | Time: 4787.93 ms [2020-11-24 11:01:44 main:581] : INFO : Epoch 131 | loss: 0.000193295 | val_loss: 0.00019449 | Time: 4789.2 ms [2020-11-24 11:01:48 main:581] : INFO : Epoch 132 | loss: 0.000189011 | val_loss: 0.000189053 | Time: 4792.42 ms [2020-11-24 11:01:53 main:581] : INFO : Epoch 133 | loss: 0.000183715 | val_loss: 0.000185224 | Time: 4776.92 ms [2020-11-24 11:01:58 main:581] : INFO : Epoch 134 | loss: 0.000179101 | val_loss: 0.000180074 | Time: 4795.42 ms [2020-11-24 11:02:03 main:581] : INFO : Epoch 135 | loss: 0.000175329 | val_loss: 0.000174959 | Time: 4774.37 ms [2020-11-24 11:02:07 main:581] : INFO : Epoch 136 | loss: 0.000171297 | val_loss: 0.000172149 | Time: 4756.7 ms [2020-11-24 11:02:12 main:581] : INFO : Epoch 137 | loss: 0.000167073 | val_loss: 0.000168926 | Time: 4742.46 ms [2020-11-24 11:02:17 main:581] : INFO : Epoch 138 | loss: 0.000163147 | val_loss: 0.000167132 | Time: 4748.3 ms [2020-11-24 11:02:22 main:581] : INFO : Epoch 139 | loss: 0.000159913 | val_loss: 0.000163582 | Time: 4748.39 ms [2020-11-24 11:02:26 main:581] : INFO : Epoch 140 | loss: 0.00015648 | val_loss: 0.000156356 | Time: 4748.24 ms [2020-11-24 11:02:31 main:581] : INFO : Epoch 141 | loss: 0.000153171 | val_loss: 0.000157103 | Time: 4754.69 ms [2020-11-24 11:02:36 main:581] : INFO : Epoch 142 | loss: 0.000150045 | val_loss: 0.000152735 | Time: 4779.88 ms [2020-11-24 11:02:41 main:581] : INFO : Epoch 143 | loss: 0.000147259 | val_loss: 0.000150238 | Time: 4825.7 ms [2020-11-24 11:02:46 main:581] : INFO : Epoch 144 | loss: 0.000143508 | val_loss: 0.000144759 | Time: 4823.28 ms [2020-11-24 11:02:50 main:581] : INFO : Epoch 145 | loss: 0.000140993 | val_loss: 0.000141898 | Time: 4826.93 ms [2020-11-24 11:02:55 main:581] : INFO : Epoch 146 | loss: 0.00013766 | val_loss: 0.000138818 | Time: 4778.24 ms [2020-11-24 11:03:00 main:581] : INFO : Epoch 147 | loss: 0.000134943 | val_loss: 0.000140248 | Time: 4760.38 ms [2020-11-24 11:03:05 main:581] : INFO : Epoch 148 | loss: 0.000132548 | val_loss: 0.000135041 | Time: 4810.3 ms [2020-11-24 11:03:10 main:581] : INFO : Epoch 149 | loss: 0.00013019 | val_loss: 0.000133096 | Time: 4780.81 ms [2020-11-24 11:03:14 main:581] : INFO : Epoch 150 | loss: 0.000129487 | val_loss: 0.000132502 | Time: 4775.73 ms [2020-11-24 11:03:19 main:581] : INFO : Epoch 151 | loss: 0.00012538 | val_loss: 0.000125619 | Time: 4786.98 ms [2020-11-24 11:03:24 main:581] : INFO : Epoch 152 | loss: 0.000122979 | val_loss: 0.000124591 | Time: 4790.39 ms [2020-11-24 11:03:29 main:581] : INFO : Epoch 153 | loss: 0.000120985 | val_loss: 0.000123315 | Time: 4762.93 ms [2020-11-24 11:03:33 main:581] : INFO : Epoch 154 | loss: 0.000118684 | val_loss: 0.000120522 | Time: 4791.85 ms [2020-11-24 11:03:38 main:581] : INFO : Epoch 155 | loss: 0.000116687 | val_loss: 0.000119124 | Time: 4782 ms [2020-11-24 11:03:43 main:581] : INFO : Epoch 156 | loss: 0.000114436 | val_loss: 0.000117541 | Time: 4781.26 ms [2020-11-24 11:03:48 main:581] : INFO : Epoch 157 | loss: 0.000112757 | val_loss: 0.000113875 | Time: 4783.58 ms [2020-11-24 11:03:53 main:581] : INFO : Epoch 158 | loss: 0.00011104 | val_loss: 0.00011307 | Time: 4843.38 ms [2020-11-24 11:03:57 main:581] : INFO : Epoch 159 | loss: 0.00010922 | val_loss: 0.000110889 | Time: 4754.42 ms [2020-11-24 11:04:02 main:581] : INFO : Epoch 160 | loss: 0.000107405 | val_loss: 0.000109657 | Time: 4798.95 ms [2020-11-24 11:04:07 main:581] : INFO : Epoch 161 | loss: 0.000105542 | val_loss: 0.000109396 | Time: 4755.59 ms [2020-11-24 11:04:12 main:581] : INFO : Epoch 162 | loss: 0.000104117 | val_loss: 0.000105593 | Time: 4743.77 ms [2020-11-24 11:04:16 main:581] : INFO : Epoch 163 | loss: 0.000101682 | val_loss: 0.000104954 | Time: 4739.59 ms [2020-11-24 11:04:21 main:581] : INFO : Epoch 164 | loss: 0.000100643 | val_loss: 0.00010602 | Time: 4733.1 ms [2020-11-24 11:04:26 main:581] : INFO : Epoch 165 | loss: 0.000117625 | val_loss: 0.000101077 | Time: 4757.39 ms [2020-11-24 11:04:31 main:581] : INFO : Epoch 166 | loss: 9.70396e-05 | val_loss: 9.93954e-05 | Time: 5117.46 ms [2020-11-24 11:04:36 main:581] : INFO : Epoch 167 | loss: 9.57994e-05 | val_loss: 9.83046e-05 | Time: 4844.2 ms [2020-11-24 11:04:41 main:581] : INFO : Epoch 168 | loss: 9.51927e-05 | val_loss: 9.90964e-05 | Time: 4766.95 ms [2020-11-24 11:04:45 main:581] : INFO : Epoch 169 | loss: 9.3658e-05 | val_loss: 9.47315e-05 | Time: 4739.43 ms [2020-11-24 11:04:50 main:581] : INFO : Epoch 170 | loss: 9.20059e-05 | val_loss: 9.5216e-05 | Time: 4765.15 ms [2020-11-24 11:04:55 main:581] : INFO : Epoch 171 | loss: 9.1245e-05 | val_loss: 9.25323e-05 | Time: 4746.64 ms [2020-11-24 11:05:00 main:581] : INFO : Epoch 172 | loss: 9.0512e-05 | val_loss: 9.48208e-05 | Time: 4747.25 ms [2020-11-24 11:05:04 main:581] : INFO : Epoch 173 | loss: 8.89753e-05 | val_loss: 9.04562e-05 | Time: 4749.3 ms [2020-11-24 11:05:09 main:581] : INFO : Epoch 174 | loss: 8.74213e-05 | val_loss: 9.02185e-05 | Time: 4745.14 ms [2020-11-24 11:05:14 main:581] : INFO : Epoch 175 | loss: 8.65543e-05 | val_loss: 8.8899e-05 | Time: 4815.56 ms [2020-11-24 11:05:19 main:581] : INFO : Epoch 176 | loss: 8.5481e-05 | val_loss: 8.74738e-05 | Time: 4768.17 ms [2020-11-24 11:05:24 main:581] : INFO : Epoch 177 | loss: 8.44519e-05 | val_loss: 8.72102e-05 | Time: 4761 ms [2020-11-24 11:05:28 main:581] : INFO : Epoch 178 | loss: 8.32328e-05 | val_loss: 8.53095e-05 | Time: 4708.09 ms [2020-11-24 11:05:33 main:581] : INFO : Epoch 179 | loss: 8.25422e-05 | val_loss: 8.56797e-05 | Time: 4722.86 ms [2020-11-24 11:05:38 main:581] : INFO : Epoch 180 | loss: 8.15333e-05 | val_loss: 8.3834e-05 | Time: 4802.02 ms [2020-11-24 11:05:43 main:581] : INFO : Epoch 181 | loss: 8.05201e-05 | val_loss: 8.28985e-05 | Time: 4789.33 ms [2020-11-24 11:05:47 main:581] : INFO : Epoch 182 | loss: 7.9372e-05 | val_loss: 8.31092e-05 | Time: 4799.49 ms [2020-11-24 11:05:52 main:581] : INFO : Epoch 183 | loss: 7.86274e-05 | val_loss: 8.19277e-05 | Time: 4755.41 ms [2020-11-24 11:05:57 main:581] : INFO : Epoch 184 | loss: 7.81477e-05 | val_loss: 7.92224e-05 | Time: 4743.7 ms [2020-11-24 11:06:02 main:581] : INFO : Epoch 185 | loss: 7.68479e-05 | val_loss: 8.0516e-05 | Time: 4745.49 ms [2020-11-24 11:06:06 main:581] : INFO : Epoch 186 | loss: 7.62313e-05 | val_loss: 7.90855e-05 | Time: 4756.77 ms [2020-11-24 11:06:11 main:581] : INFO : Epoch 187 | loss: 7.50934e-05 | val_loss: 7.72842e-05 | Time: 4735.52 ms [2020-11-24 11:06:16 main:581] : INFO : Epoch 188 | loss: 7.42078e-05 | val_loss: 7.61999e-05 | Time: 4754.08 ms [2020-11-24 11:06:21 main:581] : INFO : Epoch 189 | loss: 7.33841e-05 | val_loss: 7.71021e-05 | Time: 4755.84 ms [2020-11-24 11:06:25 main:581] : INFO : Epoch 190 | loss: 7.25488e-05 | val_loss: 7.61103e-05 | Time: 4762.3 ms [2020-11-24 11:06:30 main:581] : INFO : Epoch 191 | loss: 7.18601e-05 | val_loss: 7.45405e-05 | Time: 4794.43 ms [2020-11-24 11:06:35 main:581] : INFO : Epoch 192 | loss: 7.14437e-05 | val_loss: 7.31317e-05 | Time: 4794.08 ms [2020-11-24 11:06:35 main:604] : INFO : Saving trained model to model-final.pt, val_loss 7.31317e-05 [2020-11-24 11:06:35 main:610] : INFO : Saving end state to config to file [2020-11-24 11:06:35 main:615] : INFO : Success, exiting.. 11:06:35 (2758642): 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)