Task 2795830

Name rand_automata_0041-1604947474-21315-0_1
Workunit 1259354
Created 9 Nov 2020, 19:00:31 UTC
Sent 9 Nov 2020, 19:01:28 UTC
Report deadline 10 Nov 2020, 17:31:28 UTC
Received 10 Nov 2020, 0:53:10 UTC
Server state Over
Outcome Success
Client state Done
Exit status 0 (0x00000000)
Computer ID 596
Run time 51 min 32 sec
CPU time 50 min 4 sec
Validate state Valid
Credit 959.40
Device peak FLOPS 7,315.00 GFLOPS
Application version Machine Learning Dataset Generator (test) v9.75 (cuda10200)
windows_x86_64
Peak working set size 1.98 GB
Peak swap size 3.94 GB
Peak disk usage 1.54 GB

Stderr output

<core_client_version>7.14.2</core_client_version>
<![CDATA[
<stderr_txt>
Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: GeForce RTX 2060 SUPER)
[2020-11-10 01:01:26	                main:435]	:	INFO	:	Set logging level to 1
[2020-11-10 01:01:26	                main:441]	:	INFO	:	Running in BOINC Client mode
[2020-11-10 01:01:26	                main:444]	:	INFO	:	Resolving all filenames
[2020-11-10 01:01:26	                main:452]	:	INFO	:	Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0041-train-val-dataset.hdf5 (exists = 1)
[2020-11-10 01:01:26	                main:452]	:	INFO	:	Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0041-1604947474-21315-0_1_r2138465243_1 (exists = 0)
[2020-11-10 01:01:26	                main:452]	:	INFO	:	Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0041-1604947474-21315-0_1_r2138465243_0 (exists = 0)
[2020-11-10 01:01:26	                main:452]	:	INFO	:	Resolved: model-input.pt => model-input.pt (exists = 0)
[2020-11-10 01:01:26	                main:452]	:	INFO	:	Resolved: snapshot.pt => snapshot.pt (exists = 0)
[2020-11-10 01:01:26	                main:472]	:	INFO	:	Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0041-train-val-dataset.hdf5
[2020-11-10 01:01:26	                main:474]	:	INFO	:	Configuration: 
[2020-11-10 01:01:26	                main:475]	:	INFO	:	    Model type: LSTM
[2020-11-10 01:01:26	                main:476]	:	INFO	:	    Validation Loss Threshold: 0.0001
[2020-11-10 01:01:26	                main:477]	:	INFO	:	    Max Epochs: 192
[2020-11-10 01:01:26	                main:478]	:	INFO	:	    Batch Size: 32
[2020-11-10 01:01:26	                main:479]	:	INFO	:	    Learning Rate: 0.001
[2020-11-10 01:01:26	                main:480]	:	INFO	:	    Patience: 10
[2020-11-10 01:01:26	                main:481]	:	INFO	:	    Hidden Width: 64
[2020-11-10 01:01:26	                main:482]	:	INFO	:	    # Recurrent Layers: 4
[2020-11-10 01:01:26	                main:483]	:	INFO	:	    # Backend Layers: 2
[2020-11-10 01:01:26	                main:484]	:	INFO	:	    # Threads: 1
[2020-11-10 01:01:26	                main:486]	:	INFO	:	Preparing Dataset
[2020-11-10 01:01:26	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0041-train-val-dataset.hdf5 into memory
[2020-11-10 01:01:26	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0041-train-val-dataset.hdf5 into memory
[2020-11-10 01:01:33	                load:106]	:	INFO	:	Successfully loaded dataset of 4096 examples into memory.
[2020-11-10 01:01:33	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0041-train-val-dataset.hdf5 into memory
[2020-11-10 01:01:33	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0041-train-val-dataset.hdf5 into memory
[2020-11-10 01:01:33	                load:106]	:	INFO	:	Successfully loaded dataset of 512 examples into memory.
[2020-11-10 01:01:33	                main:494]	:	INFO	:	Creating Model
[2020-11-10 01:01:33	                main:507]	:	INFO	:	Preparing config file
[2020-11-10 01:01:33	                main:519]	:	INFO	:	Creating new config file
[2020-11-10 01:01:38	                main:559]	:	INFO	:	Loading DataLoader into Memory
[2020-11-10 01:01:38	                main:562]	:	INFO	:	Starting Training
[2020-11-10 01:01:55	                main:574]	:	INFO	:	Epoch 1 | loss: 0.0663483 | val_loss: 0.0660067 | Time: 17168 ms
[2020-11-10 01:02:11	                main:574]	:	INFO	:	Epoch 2 | loss: 0.0649062 | val_loss: 0.0633934 | Time: 16019 ms
[2020-11-10 01:02:27	                main:574]	:	INFO	:	Epoch 3 | loss: 0.0606235 | val_loss: 0.058418 | Time: 16011.2 ms
[2020-11-10 01:02:43	                main:574]	:	INFO	:	Epoch 4 | loss: 0.0561784 | val_loss: 0.0541893 | Time: 15802.8 ms
[2020-11-10 01:02:59	                main:574]	:	INFO	:	Epoch 5 | loss: 0.0526681 | val_loss: 0.0514025 | Time: 15729.6 ms
[2020-11-10 01:03:15	                main:574]	:	INFO	:	Epoch 6 | loss: 0.050107 | val_loss: 0.0490072 | Time: 15863.5 ms
[2020-11-10 01:03:31	                main:574]	:	INFO	:	Epoch 7 | loss: 0.0477641 | val_loss: 0.0466441 | Time: 15935.3 ms
[2020-11-10 01:03:46	                main:574]	:	INFO	:	Epoch 8 | loss: 0.045309 | val_loss: 0.0442104 | Time: 15714.2 ms
[2020-11-10 01:04:02	                main:574]	:	INFO	:	Epoch 9 | loss: 0.042512 | val_loss: 0.0415426 | Time: 15944.4 ms
[2020-11-10 01:04:18	                main:574]	:	INFO	:	Epoch 10 | loss: 0.0391875 | val_loss: 0.0378313 | Time: 15927.1 ms
[2020-11-10 01:04:34	                main:574]	:	INFO	:	Epoch 11 | loss: 0.0351244 | val_loss: 0.033963 | Time: 15978.1 ms
[2020-11-10 01:04:50	                main:574]	:	INFO	:	Epoch 12 | loss: 0.0305231 | val_loss: 0.0289782 | Time: 15917.9 ms
[2020-11-10 01:05:06	                main:574]	:	INFO	:	Epoch 13 | loss: 0.0260142 | val_loss: 0.0243766 | Time: 15940.3 ms
[2020-11-10 01:05:22	                main:574]	:	INFO	:	Epoch 14 | loss: 0.0223936 | val_loss: 0.0226657 | Time: 15952.6 ms
[2020-11-10 01:05:38	                main:574]	:	INFO	:	Epoch 15 | loss: 0.0180528 | val_loss: 0.0169452 | Time: 15927.5 ms
[2020-11-10 01:05:54	                main:574]	:	INFO	:	Epoch 16 | loss: 0.0164143 | val_loss: 0.0155495 | Time: 15715.3 ms
[2020-11-10 01:06:10	                main:574]	:	INFO	:	Epoch 17 | loss: 0.0161663 | val_loss: 0.0144643 | Time: 15923.4 ms
[2020-11-10 01:06:26	                main:574]	:	INFO	:	Epoch 18 | loss: 0.0153137 | val_loss: 0.0123911 | Time: 15915 ms
[2020-11-10 01:06:42	                main:574]	:	INFO	:	Epoch 19 | loss: 0.0115737 | val_loss: 0.0102974 | Time: 15840.1 ms
[2020-11-10 01:06:58	                main:574]	:	INFO	:	Epoch 20 | loss: 0.0109963 | val_loss: 0.0176309 | Time: 15812.4 ms
[2020-11-10 01:07:14	                main:574]	:	INFO	:	Epoch 21 | loss: 0.00953463 | val_loss: 0.00848982 | Time: 15834.1 ms
[2020-11-10 01:07:30	                main:574]	:	INFO	:	Epoch 22 | loss: 0.00766148 | val_loss: 0.00777935 | Time: 15975.1 ms
[2020-11-10 01:07:46	                main:574]	:	INFO	:	Epoch 23 | loss: 0.00663506 | val_loss: 0.00678551 | Time: 16011.1 ms
[2020-11-10 01:08:02	                main:574]	:	INFO	:	Epoch 24 | loss: 0.00706376 | val_loss: 0.00662884 | Time: 15848.2 ms
[2020-11-10 01:08:18	                main:574]	:	INFO	:	Epoch 25 | loss: 0.00642007 | val_loss: 0.00598032 | Time: 15996.3 ms
[2020-11-10 01:08:34	                main:574]	:	INFO	:	Epoch 26 | loss: 0.00539251 | val_loss: 0.00555604 | Time: 16065.1 ms
[2020-11-10 01:08:50	                main:574]	:	INFO	:	Epoch 27 | loss: 0.00505144 | val_loss: 0.00525782 | Time: 16149.2 ms
[2020-11-10 01:09:06	                main:574]	:	INFO	:	Epoch 28 | loss: 0.00475053 | val_loss: 0.00491198 | Time: 16096.7 ms
[2020-11-10 01:09:22	                main:574]	:	INFO	:	Epoch 29 | loss: 0.00449226 | val_loss: 0.00468878 | Time: 15928.7 ms
[2020-11-10 01:09:38	                main:574]	:	INFO	:	Epoch 30 | loss: 0.0042319 | val_loss: 0.00437669 | Time: 16076.6 ms
[2020-11-10 01:09:54	                main:574]	:	INFO	:	Epoch 31 | loss: 0.0039921 | val_loss: 0.00413296 | Time: 15805.7 ms
[2020-11-10 01:10:10	                main:574]	:	INFO	:	Epoch 32 | loss: 0.00378928 | val_loss: 0.00388508 | Time: 16039.4 ms
[2020-11-10 01:10:26	                main:574]	:	INFO	:	Epoch 33 | loss: 0.00356517 | val_loss: 0.00367758 | Time: 15979.1 ms
[2020-11-10 01:10:42	                main:574]	:	INFO	:	Epoch 34 | loss: 0.00337144 | val_loss: 0.00345386 | Time: 16003.7 ms
[2020-11-10 01:10:58	                main:574]	:	INFO	:	Epoch 35 | loss: 0.00318459 | val_loss: 0.0032532 | Time: 15776.9 ms
[2020-11-10 01:11:14	                main:574]	:	INFO	:	Epoch 36 | loss: 0.00300548 | val_loss: 0.00306548 | Time: 15816.4 ms
[2020-11-10 01:11:30	                main:574]	:	INFO	:	Epoch 37 | loss: 0.00283511 | val_loss: 0.00288574 | Time: 15953.1 ms
[2020-11-10 01:11:46	                main:574]	:	INFO	:	Epoch 38 | loss: 0.00267046 | val_loss: 0.0027195 | Time: 15925.2 ms
[2020-11-10 01:12:02	                main:574]	:	INFO	:	Epoch 39 | loss: 0.00255495 | val_loss: 0.00256351 | Time: 15817.2 ms
[2020-11-10 01:12:18	                main:574]	:	INFO	:	Epoch 40 | loss: 0.00237442 | val_loss: 0.0024125 | Time: 15900 ms
[2020-11-10 01:12:34	                main:574]	:	INFO	:	Epoch 41 | loss: 0.00223359 | val_loss: 0.00227122 | Time: 16183.8 ms
[2020-11-10 01:12:50	                main:574]	:	INFO	:	Epoch 42 | loss: 0.00237812 | val_loss: 0.00242976 | Time: 16024.4 ms
[2020-11-10 01:13:06	                main:574]	:	INFO	:	Epoch 43 | loss: 0.00202723 | val_loss: 0.00202492 | Time: 15801.8 ms
[2020-11-10 01:13:22	                main:574]	:	INFO	:	Epoch 44 | loss: 0.00187186 | val_loss: 0.0018943 | Time: 16096.7 ms
[2020-11-10 01:13:38	                main:574]	:	INFO	:	Epoch 45 | loss: 0.00175977 | val_loss: 0.00178288 | Time: 15847.5 ms
[2020-11-10 01:13:54	                main:574]	:	INFO	:	Epoch 46 | loss: 0.00165576 | val_loss: 0.00167536 | Time: 15805.7 ms
[2020-11-10 01:14:09	                main:574]	:	INFO	:	Epoch 47 | loss: 0.00155853 | val_loss: 0.00157634 | Time: 15796.7 ms
[2020-11-10 01:14:25	                main:574]	:	INFO	:	Epoch 48 | loss: 0.00146586 | val_loss: 0.00148285 | Time: 15831.1 ms
[2020-11-10 01:14:41	                main:574]	:	INFO	:	Epoch 49 | loss: 0.00137852 | val_loss: 0.00139334 | Time: 16000.8 ms
[2020-11-10 01:14:57	                main:574]	:	INFO	:	Epoch 50 | loss: 0.00129658 | val_loss: 0.00131155 | Time: 15761.9 ms
[2020-11-10 01:15:13	                main:574]	:	INFO	:	Epoch 51 | loss: 0.00121896 | val_loss: 0.00123229 | Time: 15793 ms
[2020-11-10 01:15:29	                main:574]	:	INFO	:	Epoch 52 | loss: 0.00114589 | val_loss: 0.00115792 | Time: 15907 ms
[2020-11-10 01:15:45	                main:574]	:	INFO	:	Epoch 53 | loss: 0.00107662 | val_loss: 0.00108887 | Time: 16125.4 ms
[2020-11-10 01:16:01	                main:574]	:	INFO	:	Epoch 54 | loss: 0.00101159 | val_loss: 0.00102076 | Time: 15908.6 ms
[2020-11-10 01:16:17	                main:574]	:	INFO	:	Epoch 55 | loss: 0.000950452 | val_loss: 0.000960965 | Time: 15903.5 ms
[2020-11-10 01:16:33	                main:574]	:	INFO	:	Epoch 56 | loss: 0.000892979 | val_loss: 0.000903598 | Time: 15985.4 ms
[2020-11-10 01:16:49	                main:574]	:	INFO	:	Epoch 57 | loss: 0.000838965 | val_loss: 0.0008495 | Time: 16001.6 ms
[2020-11-10 01:17:05	                main:574]	:	INFO	:	Epoch 58 | loss: 0.00078883 | val_loss: 0.000801736 | Time: 15949.7 ms
[2020-11-10 01:17:21	                main:574]	:	INFO	:	Epoch 59 | loss: 0.000741117 | val_loss: 0.000750153 | Time: 16060.5 ms
[2020-11-10 01:17:37	                main:574]	:	INFO	:	Epoch 60 | loss: 0.000695574 | val_loss: 0.000701832 | Time: 15915.7 ms
[2020-11-10 01:17:53	                main:574]	:	INFO	:	Epoch 61 | loss: 0.000653761 | val_loss: 0.000661043 | Time: 15978.9 ms
[2020-11-10 01:18:09	                main:574]	:	INFO	:	Epoch 62 | loss: 0.000613882 | val_loss: 0.000623262 | Time: 15640 ms
[2020-11-10 01:18:25	                main:574]	:	INFO	:	Epoch 63 | loss: 0.000576097 | val_loss: 0.000583681 | Time: 15748 ms
[2020-11-10 01:18:41	                main:574]	:	INFO	:	Epoch 64 | loss: 0.000541174 | val_loss: 0.000550288 | Time: 16046.7 ms
[2020-11-10 01:18:56	                main:574]	:	INFO	:	Epoch 65 | loss: 0.000508846 | val_loss: 0.000517637 | Time: 15727.8 ms
[2020-11-10 01:19:12	                main:574]	:	INFO	:	Epoch 66 | loss: 0.000477699 | val_loss: 0.000484752 | Time: 15800.2 ms
[2020-11-10 01:19:28	                main:574]	:	INFO	:	Epoch 67 | loss: 0.000448858 | val_loss: 0.000455937 | Time: 15845.3 ms
[2020-11-10 01:19:44	                main:574]	:	INFO	:	Epoch 68 | loss: 0.000421277 | val_loss: 0.00042997 | Time: 15958.9 ms
[2020-11-10 01:20:00	                main:574]	:	INFO	:	Epoch 69 | loss: 0.000396124 | val_loss: 0.000404229 | Time: 16022.7 ms
[2020-11-10 01:20:16	                main:574]	:	INFO	:	Epoch 70 | loss: 0.000372402 | val_loss: 0.000378356 | Time: 15926 ms
[2020-11-10 01:20:32	                main:574]	:	INFO	:	Epoch 71 | loss: 0.000349108 | val_loss: 0.000354901 | Time: 15864.2 ms
[2020-11-10 01:20:48	                main:574]	:	INFO	:	Epoch 72 | loss: 0.000328537 | val_loss: 0.000332079 | Time: 16055.1 ms
[2020-11-10 01:21:04	                main:574]	:	INFO	:	Epoch 73 | loss: 0.000308341 | val_loss: 0.000313052 | Time: 16004.6 ms
[2020-11-10 01:21:20	                main:574]	:	INFO	:	Epoch 74 | loss: 0.000289162 | val_loss: 0.000292146 | Time: 15907.5 ms
[2020-11-10 01:21:36	                main:574]	:	INFO	:	Epoch 75 | loss: 0.000272236 | val_loss: 0.000276682 | Time: 15896 ms
[2020-11-10 01:21:52	                main:574]	:	INFO	:	Epoch 76 | loss: 0.000254913 | val_loss: 0.000256896 | Time: 15850.8 ms
[2020-11-10 01:22:08	                main:574]	:	INFO	:	Epoch 77 | loss: 0.000239923 | val_loss: 0.000242473 | Time: 15977 ms
[2020-11-10 01:22:24	                main:574]	:	INFO	:	Epoch 78 | loss: 0.000225202 | val_loss: 0.000227973 | Time: 15943.5 ms
[2020-11-10 01:22:40	                main:574]	:	INFO	:	Epoch 79 | loss: 0.000211422 | val_loss: 0.00021575 | Time: 16095.3 ms
[2020-11-10 01:22:56	                main:574]	:	INFO	:	Epoch 80 | loss: 0.000198922 | val_loss: 0.000203259 | Time: 15885 ms
[2020-11-10 01:23:12	                main:574]	:	INFO	:	Epoch 81 | loss: 0.000187576 | val_loss: 0.000192213 | Time: 15913.4 ms
[2020-11-10 01:23:28	                main:574]	:	INFO	:	Epoch 82 | loss: 0.000177467 | val_loss: 0.000177375 | Time: 15899.1 ms
[2020-11-10 01:23:44	                main:574]	:	INFO	:	Epoch 83 | loss: 0.00016596 | val_loss: 0.000167019 | Time: 15988.1 ms
[2020-11-10 01:24:00	                main:574]	:	INFO	:	Epoch 84 | loss: 0.00015657 | val_loss: 0.000161051 | Time: 16185 ms
[2020-11-10 01:24:16	                main:574]	:	INFO	:	Epoch 85 | loss: 0.00014816 | val_loss: 0.000148973 | Time: 15963.5 ms
[2020-11-10 01:24:32	                main:574]	:	INFO	:	Epoch 86 | loss: 0.000139436 | val_loss: 0.000140589 | Time: 15993.6 ms
[2020-11-10 01:24:48	                main:574]	:	INFO	:	Epoch 87 | loss: 0.000131754 | val_loss: 0.00013299 | Time: 16000.8 ms
[2020-11-10 01:25:05	                main:574]	:	INFO	:	Epoch 88 | loss: 0.000125367 | val_loss: 0.000126166 | Time: 16021.4 ms
[2020-11-10 01:25:21	                main:574]	:	INFO	:	Epoch 89 | loss: 0.000118288 | val_loss: 0.000119243 | Time: 16076.2 ms
[2020-11-10 01:25:37	                main:574]	:	INFO	:	Epoch 90 | loss: 0.000112125 | val_loss: 0.000116321 | Time: 16045.3 ms
[2020-11-10 01:25:53	                main:574]	:	INFO	:	Epoch 91 | loss: 0.000106895 | val_loss: 0.00010772 | Time: 15864.1 ms
[2020-11-10 01:26:09	                main:574]	:	INFO	:	Epoch 92 | loss: 0.000100864 | val_loss: 0.000101092 | Time: 15926.6 ms
[2020-11-10 01:26:25	                main:574]	:	INFO	:	Epoch 93 | loss: 9.53689e-05 | val_loss: 9.94278e-05 | Time: 15893.3 ms
[2020-11-10 01:26:40	                main:574]	:	INFO	:	Epoch 94 | loss: 9.19302e-05 | val_loss: 9.15105e-05 | Time: 15934.7 ms
[2020-11-10 01:26:56	                main:574]	:	INFO	:	Epoch 95 | loss: 8.62006e-05 | val_loss: 8.74497e-05 | Time: 15882.8 ms
[2020-11-10 01:27:12	                main:574]	:	INFO	:	Epoch 96 | loss: 8.29184e-05 | val_loss: 8.33619e-05 | Time: 15798.8 ms
[2020-11-10 01:27:28	                main:574]	:	INFO	:	Epoch 97 | loss: 7.88613e-05 | val_loss: 7.95179e-05 | Time: 15889.5 ms
[2020-11-10 01:27:44	                main:574]	:	INFO	:	Epoch 98 | loss: 7.48447e-05 | val_loss: 7.58438e-05 | Time: 15970.2 ms
[2020-11-10 01:28:00	                main:574]	:	INFO	:	Epoch 99 | loss: 7.17727e-05 | val_loss: 7.3312e-05 | Time: 16050 ms
[2020-11-10 01:28:16	                main:574]	:	INFO	:	Epoch 100 | loss: 6.91258e-05 | val_loss: 7.14706e-05 | Time: 15945.8 ms
[2020-11-10 01:28:32	                main:574]	:	INFO	:	Epoch 101 | loss: 6.57074e-05 | val_loss: 6.69186e-05 | Time: 15981.8 ms
[2020-11-10 01:28:48	                main:574]	:	INFO	:	Epoch 102 | loss: 6.37096e-05 | val_loss: 6.74874e-05 | Time: 16014.2 ms
[2020-11-10 01:29:04	                main:574]	:	INFO	:	Epoch 103 | loss: 6.0396e-05 | val_loss: 6.29375e-05 | Time: 16140.3 ms
[2020-11-10 01:29:21	                main:574]	:	INFO	:	Epoch 104 | loss: 5.88887e-05 | val_loss: 5.81833e-05 | Time: 16002.3 ms
[2020-11-10 01:29:37	                main:574]	:	INFO	:	Epoch 105 | loss: 5.58524e-05 | val_loss: 5.57975e-05 | Time: 16059.3 ms
[2020-11-10 01:29:53	                main:574]	:	INFO	:	Epoch 106 | loss: 5.31926e-05 | val_loss: 5.44441e-05 | Time: 15936.6 ms
[2020-11-10 01:30:08	                main:574]	:	INFO	:	Epoch 107 | loss: 5.18186e-05 | val_loss: 5.09298e-05 | Time: 15679.8 ms
[2020-11-10 01:30:24	                main:574]	:	INFO	:	Epoch 108 | loss: 4.9456e-05 | val_loss: 4.92078e-05 | Time: 15768.2 ms
[2020-11-10 01:30:40	                main:574]	:	INFO	:	Epoch 109 | loss: 4.76984e-05 | val_loss: 4.71032e-05 | Time: 15924.7 ms
[2020-11-10 01:30:56	                main:574]	:	INFO	:	Epoch 110 | loss: 4.5595e-05 | val_loss: 4.53372e-05 | Time: 15864.1 ms
[2020-11-10 01:31:12	                main:574]	:	INFO	:	Epoch 111 | loss: 4.43736e-05 | val_loss: 4.54497e-05 | Time: 15823.2 ms
[2020-11-10 01:31:28	                main:574]	:	INFO	:	Epoch 112 | loss: 4.22381e-05 | val_loss: 4.58616e-05 | Time: 15834.8 ms
[2020-11-10 01:31:44	                main:574]	:	INFO	:	Epoch 113 | loss: 4.18631e-05 | val_loss: 4.11113e-05 | Time: 15790.1 ms
[2020-11-10 01:31:59	                main:574]	:	INFO	:	Epoch 114 | loss: 4.01751e-05 | val_loss: 3.98958e-05 | Time: 15800.8 ms
[2020-11-10 01:32:15	                main:574]	:	INFO	:	Epoch 115 | loss: 3.84543e-05 | val_loss: 3.98014e-05 | Time: 15970.4 ms
[2020-11-10 01:32:32	                main:574]	:	INFO	:	Epoch 116 | loss: 3.78903e-05 | val_loss: 3.83604e-05 | Time: 15992.6 ms
[2020-11-10 01:32:47	                main:574]	:	INFO	:	Epoch 117 | loss: 3.64113e-05 | val_loss: 3.63389e-05 | Time: 15849.2 ms
[2020-11-10 01:33:03	                main:574]	:	INFO	:	Epoch 118 | loss: 3.50784e-05 | val_loss: 3.67426e-05 | Time: 15865.4 ms
[2020-11-10 01:33:19	                main:574]	:	INFO	:	Epoch 119 | loss: 3.43074e-05 | val_loss: 3.89552e-05 | Time: 16087.7 ms
[2020-11-10 01:33:35	                main:574]	:	INFO	:	Epoch 120 | loss: 3.27829e-05 | val_loss: 3.20332e-05 | Time: 15950.9 ms
[2020-11-10 01:33:51	                main:574]	:	INFO	:	Epoch 121 | loss: 3.1726e-05 | val_loss: 3.13684e-05 | Time: 15881.7 ms
[2020-11-10 01:34:07	                main:574]	:	INFO	:	Epoch 122 | loss: 3.08677e-05 | val_loss: 3.1377e-05 | Time: 15890.1 ms
[2020-11-10 01:34:23	                main:574]	:	INFO	:	Epoch 123 | loss: 3.08073e-05 | val_loss: 3.1775e-05 | Time: 15924.5 ms
[2020-11-10 01:34:39	                main:574]	:	INFO	:	Epoch 124 | loss: 2.92057e-05 | val_loss: 2.87552e-05 | Time: 16001.1 ms
[2020-11-10 01:34:55	                main:574]	:	INFO	:	Epoch 125 | loss: 2.85431e-05 | val_loss: 3.00721e-05 | Time: 15998.2 ms
[2020-11-10 01:35:11	                main:574]	:	INFO	:	Epoch 126 | loss: 2.74836e-05 | val_loss: 2.83305e-05 | Time: 15890.8 ms
[2020-11-10 01:35:27	                main:574]	:	INFO	:	Epoch 127 | loss: 2.68146e-05 | val_loss: 2.68257e-05 | Time: 16081.4 ms
[2020-11-10 01:35:43	                main:574]	:	INFO	:	Epoch 128 | loss: 2.63425e-05 | val_loss: 2.84208e-05 | Time: 15849.7 ms
[2020-11-10 01:35:59	                main:574]	:	INFO	:	Epoch 129 | loss: 2.56177e-05 | val_loss: 2.55218e-05 | Time: 15923.8 ms
[2020-11-10 01:36:15	                main:574]	:	INFO	:	Epoch 130 | loss: 2.52466e-05 | val_loss: 2.48486e-05 | Time: 15906.7 ms
[2020-11-10 01:36:31	                main:574]	:	INFO	:	Epoch 131 | loss: 2.39463e-05 | val_loss: 2.41712e-05 | Time: 15908.4 ms
[2020-11-10 01:36:47	                main:574]	:	INFO	:	Epoch 132 | loss: 2.42004e-05 | val_loss: 2.34921e-05 | Time: 15996.4 ms
[2020-11-10 01:37:03	                main:574]	:	INFO	:	Epoch 133 | loss: 2.30794e-05 | val_loss: 2.25656e-05 | Time: 15921.1 ms
[2020-11-10 01:37:19	                main:574]	:	INFO	:	Epoch 134 | loss: 2.26159e-05 | val_loss: 2.2837e-05 | Time: 15748.5 ms
[2020-11-10 01:37:35	                main:574]	:	INFO	:	Epoch 135 | loss: 2.25975e-05 | val_loss: 2.25991e-05 | Time: 16033.6 ms
[2020-11-10 01:37:51	                main:574]	:	INFO	:	Epoch 136 | loss: 2.14932e-05 | val_loss: 2.16662e-05 | Time: 16033.5 ms
[2020-11-10 01:38:07	                main:574]	:	INFO	:	Epoch 137 | loss: 2.11923e-05 | val_loss: 2.33545e-05 | Time: 15972.1 ms
[2020-11-10 01:38:23	                main:574]	:	INFO	:	Epoch 138 | loss: 2.09294e-05 | val_loss: 2.13526e-05 | Time: 15888 ms
[2020-11-10 01:38:39	                main:574]	:	INFO	:	Epoch 139 | loss: 2.05025e-05 | val_loss: 2.1968e-05 | Time: 15872.3 ms
[2020-11-10 01:38:55	                main:574]	:	INFO	:	Epoch 140 | loss: 2.01185e-05 | val_loss: 1.94408e-05 | Time: 16256.8 ms
[2020-11-10 01:39:11	                main:574]	:	INFO	:	Epoch 141 | loss: 1.91586e-05 | val_loss: 1.939e-05 | Time: 15835.3 ms
[2020-11-10 01:39:27	                main:574]	:	INFO	:	Epoch 142 | loss: 1.87209e-05 | val_loss: 1.85824e-05 | Time: 15929.1 ms
[2020-11-10 01:39:43	                main:574]	:	INFO	:	Epoch 143 | loss: 1.93262e-05 | val_loss: 1.79962e-05 | Time: 15877 ms
[2020-11-10 01:39:59	                main:574]	:	INFO	:	Epoch 144 | loss: 1.79864e-05 | val_loss: 2.05335e-05 | Time: 15981 ms
[2020-11-10 01:40:15	                main:574]	:	INFO	:	Epoch 145 | loss: 1.79131e-05 | val_loss: 1.77986e-05 | Time: 15988.6 ms
[2020-11-10 01:40:31	                main:574]	:	INFO	:	Epoch 146 | loss: 1.78168e-05 | val_loss: 1.71887e-05 | Time: 15991.1 ms
[2020-11-10 01:40:47	                main:574]	:	INFO	:	Epoch 147 | loss: 1.73101e-05 | val_loss: 1.79562e-05 | Time: 16105.5 ms
[2020-11-10 01:41:03	                main:574]	:	INFO	:	Epoch 148 | loss: 1.6851e-05 | val_loss: 1.73705e-05 | Time: 15935.1 ms
[2020-11-10 01:41:19	                main:574]	:	INFO	:	Epoch 149 | loss: 1.71154e-05 | val_loss: 1.61838e-05 | Time: 15988.6 ms
[2020-11-10 01:41:35	                main:574]	:	INFO	:	Epoch 150 | loss: 1.61783e-05 | val_loss: 1.64945e-05 | Time: 15854.4 ms
[2020-11-10 01:41:51	                main:574]	:	INFO	:	Epoch 151 | loss: 1.59683e-05 | val_loss: 1.74949e-05 | Time: 16171.7 ms
[2020-11-10 01:42:07	                main:574]	:	INFO	:	Epoch 152 | loss: 1.5598e-05 | val_loss: 1.5559e-05 | Time: 15863.7 ms
[2020-11-10 01:42:23	                main:574]	:	INFO	:	Epoch 153 | loss: 1.60384e-05 | val_loss: 1.76212e-05 | Time: 15813.4 ms
[2020-11-10 01:42:39	                main:574]	:	INFO	:	Epoch 154 | loss: 1.52009e-05 | val_loss: 1.58311e-05 | Time: 15950.3 ms
[2020-11-10 01:42:55	                main:574]	:	INFO	:	Epoch 155 | loss: 1.52757e-05 | val_loss: 1.45345e-05 | Time: 15827.2 ms
[2020-11-10 01:43:11	                main:574]	:	INFO	:	Epoch 156 | loss: 1.49356e-05 | val_loss: 1.50202e-05 | Time: 15769.4 ms
[2020-11-10 01:43:27	                main:574]	:	INFO	:	Epoch 157 | loss: 1.45763e-05 | val_loss: 1.57582e-05 | Time: 15785.6 ms
[2020-11-10 01:43:43	                main:574]	:	INFO	:	Epoch 158 | loss: 1.4251e-05 | val_loss: 1.52521e-05 | Time: 15965 ms
[2020-11-10 01:43:59	                main:574]	:	INFO	:	Epoch 159 | loss: 1.41522e-05 | val_loss: 1.39118e-05 | Time: 16056.4 ms
[2020-11-10 01:44:15	                main:574]	:	INFO	:	Epoch 160 | loss: 1.36857e-05 | val_loss: 1.4294e-05 | Time: 15968.1 ms
[2020-11-10 01:44:31	                main:574]	:	INFO	:	Epoch 161 | loss: 1.44686e-05 | val_loss: 1.38146e-05 | Time: 16010.1 ms
[2020-11-10 01:44:47	                main:574]	:	INFO	:	Epoch 162 | loss: 1.33429e-05 | val_loss: 1.82346e-05 | Time: 15873.8 ms
[2020-11-10 01:45:03	                main:574]	:	INFO	:	Epoch 163 | loss: 1.35299e-05 | val_loss: 1.34308e-05 | Time: 15992 ms
[2020-11-10 01:45:19	                main:574]	:	INFO	:	Epoch 164 | loss: 1.33821e-05 | val_loss: 1.36254e-05 | Time: 15992.1 ms
[2020-11-10 01:45:35	                main:574]	:	INFO	:	Epoch 165 | loss: 1.26169e-05 | val_loss: 1.23386e-05 | Time: 15881.8 ms
[2020-11-10 01:45:51	                main:574]	:	INFO	:	Epoch 166 | loss: 1.26277e-05 | val_loss: 1.46076e-05 | Time: 15959.5 ms
[2020-11-10 01:46:07	                main:574]	:	INFO	:	Epoch 167 | loss: 1.30612e-05 | val_loss: 1.22461e-05 | Time: 15853.3 ms
[2020-11-10 01:46:23	                main:574]	:	INFO	:	Epoch 168 | loss: 1.23278e-05 | val_loss: 1.36229e-05 | Time: 15868.9 ms
[2020-11-10 01:46:39	                main:574]	:	INFO	:	Epoch 169 | loss: 1.32298e-05 | val_loss: 1.13032e-05 | Time: 15909.5 ms
[2020-11-10 01:46:54	                main:574]	:	INFO	:	Epoch 170 | loss: 1.16212e-05 | val_loss: 1.15762e-05 | Time: 15799.4 ms
[2020-11-10 01:47:10	                main:574]	:	INFO	:	Epoch 171 | loss: 1.17812e-05 | val_loss: 1.1846e-05 | Time: 15878.8 ms
[2020-11-10 01:47:26	                main:574]	:	INFO	:	Epoch 172 | loss: 1.18416e-05 | val_loss: 1.48753e-05 | Time: 15849.7 ms
[2020-11-10 01:47:42	                main:574]	:	INFO	:	Epoch 173 | loss: 1.19722e-05 | val_loss: 1.14043e-05 | Time: 15789.8 ms
[2020-11-10 01:47:58	                main:574]	:	INFO	:	Epoch 174 | loss: 1.11675e-05 | val_loss: 1.2322e-05 | Time: 15918.9 ms
[2020-11-10 01:48:14	                main:574]	:	INFO	:	Epoch 175 | loss: 1.19273e-05 | val_loss: 1.12146e-05 | Time: 15876 ms
[2020-11-10 01:48:30	                main:574]	:	INFO	:	Epoch 176 | loss: 1.1093e-05 | val_loss: 1.11855e-05 | Time: 15908.8 ms
[2020-11-10 01:48:46	                main:574]	:	INFO	:	Epoch 177 | loss: 1.13075e-05 | val_loss: 1.15369e-05 | Time: 16116.9 ms
[2020-11-10 01:49:02	                main:574]	:	INFO	:	Epoch 178 | loss: 1.11638e-05 | val_loss: 1.13603e-05 | Time: 16027.7 ms
[2020-11-10 01:49:18	                main:574]	:	INFO	:	Epoch 179 | loss: 1.07412e-05 | val_loss: 1.08004e-05 | Time: 15959 ms
[2020-11-10 01:49:34	                main:574]	:	INFO	:	Epoch 180 | loss: 1.07543e-05 | val_loss: 1.16988e-05 | Time: 16036.1 ms
[2020-11-10 01:49:50	                main:574]	:	INFO	:	Epoch 181 | loss: 1.11324e-05 | val_loss: 1.03277e-05 | Time: 15809.9 ms
[2020-11-10 01:50:06	                main:574]	:	INFO	:	Epoch 182 | loss: 1.01958e-05 | val_loss: 1.0272e-05 | Time: 16006 ms
[2020-11-10 01:50:22	                main:574]	:	INFO	:	Epoch 183 | loss: 1.03425e-05 | val_loss: 9.44858e-06 | Time: 15932.4 ms
[2020-11-10 01:50:38	                main:574]	:	INFO	:	Epoch 184 | loss: 1.06508e-05 | val_loss: 1.02207e-05 | Time: 15684.4 ms
[2020-11-10 01:50:54	                main:574]	:	INFO	:	Epoch 185 | loss: 1.00033e-05 | val_loss: 9.86413e-06 | Time: 15774.4 ms
[2020-11-10 01:51:09	                main:574]	:	INFO	:	Epoch 186 | loss: 1.01914e-05 | val_loss: 1.65355e-05 | Time: 15618.8 ms
[2020-11-10 01:51:25	                main:574]	:	INFO	:	Epoch 187 | loss: 1.00377e-05 | val_loss: 1.1088e-05 | Time: 15831.7 ms
[2020-11-10 01:51:41	                main:574]	:	INFO	:	Epoch 188 | loss: 9.9513e-06 | val_loss: 9.41011e-06 | Time: 15929.4 ms
[2020-11-10 01:51:57	                main:574]	:	INFO	:	Epoch 189 | loss: 9.56769e-06 | val_loss: 9.4634e-06 | Time: 15899.4 ms
[2020-11-10 01:52:13	                main:574]	:	INFO	:	Epoch 190 | loss: 1.00507e-05 | val_loss: 9.98789e-06 | Time: 16039.9 ms
[2020-11-10 01:52:29	                main:574]	:	INFO	:	Epoch 191 | loss: 9.52482e-06 | val_loss: 9.62516e-06 | Time: 15881.6 ms
[2020-11-10 01:52:45	                main:574]	:	INFO	:	Epoch 192 | loss: 9.81701e-06 | val_loss: 8.47925e-06 | Time: 15987.6 ms
[2020-11-10 01:52:45	                main:597]	:	INFO	:	Saving trained model to model-final.pt, val_loss 8.47925e-06
[2020-11-10 01:52:45	                main:603]	:	INFO	:	Saving end state to config to file
[2020-11-10 01:52:45	                main:608]	:	INFO	:	Success, exiting..
01:52:45 (9452): called boinc_finish(0)

</stderr_txt>
]]>


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A project of the Cognition, Robotics, and Learning (CORAL) Lab at the University of Maryland, Baltimore County (UMBC)