Task 2807238

Name rand_automata_0063-1604984702-29216-0_1
Workunit 1264205
Created 10 Nov 2020, 6:19:44 UTC
Sent 10 Nov 2020, 7:40:48 UTC
Report deadline 11 Nov 2020, 6:10:48 UTC
Received 11 Nov 2020, 0:49:45 UTC
Server state Over
Outcome Success
Client state Done
Exit status 0 (0x00000000)
Computer ID 563
Run time 26 min 45 sec
CPU time 24 min 9 sec
Validate state Valid
Credit 959.40
Device peak FLOPS 5,442.60 GFLOPS
Application version Machine Learning Dataset Generator (test) v9.75 (cuda10200)
windows_x86_64
Peak working set size 1.95 GB
Peak swap size 3.89 GB
Peak disk usage 1.54 GB

Stderr output

<core_client_version>7.16.5</core_client_version>
<![CDATA[
<stderr_txt>
Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: GeForce GTX 1660 Ti)
[2020-11-11 01:20:22	                main:435]	:	INFO	:	Set logging level to 1
[2020-11-11 01:20:22	                main:441]	:	INFO	:	Running in BOINC Client mode
[2020-11-11 01:20:22	                main:444]	:	INFO	:	Resolving all filenames
[2020-11-11 01:20:22	                main:452]	:	INFO	:	Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0063-train-val-dataset.hdf5 (exists = 1)
[2020-11-11 01:20:22	                main:452]	:	INFO	:	Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0063-1604984702-29216-0_1_r594652711_1 (exists = 0)
[2020-11-11 01:20:22	                main:452]	:	INFO	:	Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0063-1604984702-29216-0_1_r594652711_0 (exists = 0)
[2020-11-11 01:20:22	                main:452]	:	INFO	:	Resolved: model-input.pt => model-input.pt (exists = 0)
[2020-11-11 01:20:22	                main:452]	:	INFO	:	Resolved: snapshot.pt => snapshot.pt (exists = 0)
[2020-11-11 01:20:22	                main:472]	:	INFO	:	Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0063-train-val-dataset.hdf5
[2020-11-11 01:20:22	                main:474]	:	INFO	:	Configuration: 
[2020-11-11 01:20:22	                main:475]	:	INFO	:	    Model type: LSTM
[2020-11-11 01:20:22	                main:476]	:	INFO	:	    Validation Loss Threshold: 0.0001
[2020-11-11 01:20:23	                main:477]	:	INFO	:	    Max Epochs: 192
[2020-11-11 01:20:23	                main:478]	:	INFO	:	    Batch Size: 32
[2020-11-11 01:20:23	                main:479]	:	INFO	:	    Learning Rate: 0.001
[2020-11-11 01:20:23	                main:480]	:	INFO	:	    Patience: 10
[2020-11-11 01:20:23	                main:481]	:	INFO	:	    Hidden Width: 64
[2020-11-11 01:20:23	                main:482]	:	INFO	:	    # Recurrent Layers: 4
[2020-11-11 01:20:23	                main:483]	:	INFO	:	    # Backend Layers: 2
[2020-11-11 01:20:23	                main:484]	:	INFO	:	    # Threads: 1
[2020-11-11 01:20:23	                main:486]	:	INFO	:	Preparing Dataset
[2020-11-11 01:20:23	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0063-train-val-dataset.hdf5 into memory
[2020-11-11 01:20:23	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0063-train-val-dataset.hdf5 into memory
[2020-11-11 01:20:25	                load:106]	:	INFO	:	Successfully loaded dataset of 4096 examples into memory.
[2020-11-11 01:20:25	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0063-train-val-dataset.hdf5 into memory
[2020-11-11 01:20:26	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0063-train-val-dataset.hdf5 into memory
[2020-11-11 01:20:26	                load:106]	:	INFO	:	Successfully loaded dataset of 512 examples into memory.
[2020-11-11 01:20:26	                main:494]	:	INFO	:	Creating Model
[2020-11-11 01:20:26	                main:507]	:	INFO	:	Preparing config file
[2020-11-11 01:20:26	                main:519]	:	INFO	:	Creating new config file
[2020-11-11 01:20:28	                main:559]	:	INFO	:	Loading DataLoader into Memory
[2020-11-11 01:20:45	                main:562]	:	INFO	:	Starting Training
[2020-11-11 01:20:53	                main:574]	:	INFO	:	Epoch 1 | loss: 0.0663601 | val_loss: 0.0660015 | Time: 8694.51 ms
[2020-11-11 01:21:01	                main:574]	:	INFO	:	Epoch 2 | loss: 0.0653411 | val_loss: 0.0634082 | Time: 7857.54 ms
[2020-11-11 01:21:09	                main:574]	:	INFO	:	Epoch 3 | loss: 0.0616115 | val_loss: 0.059907 | Time: 7732.52 ms
[2020-11-11 01:21:17	                main:574]	:	INFO	:	Epoch 4 | loss: 0.0584879 | val_loss: 0.0572495 | Time: 7981.49 ms
[2020-11-11 01:21:26	                main:574]	:	INFO	:	Epoch 5 | loss: 0.0560784 | val_loss: 0.0551701 | Time: 8310.35 ms
[2020-11-11 01:21:34	                main:574]	:	INFO	:	Epoch 6 | loss: 0.0544016 | val_loss: 0.053818 | Time: 7859.43 ms
[2020-11-11 01:21:42	                main:574]	:	INFO	:	Epoch 7 | loss: 0.0530724 | val_loss: 0.0526839 | Time: 8435.63 ms
[2020-11-11 01:21:50	                main:574]	:	INFO	:	Epoch 8 | loss: 0.0518634 | val_loss: 0.0513868 | Time: 7522.15 ms
[2020-11-11 01:21:58	                main:574]	:	INFO	:	Epoch 9 | loss: 0.0505734 | val_loss: 0.0502748 | Time: 7991.04 ms
[2020-11-11 01:22:07	                main:574]	:	INFO	:	Epoch 10 | loss: 0.0492622 | val_loss: 0.0488106 | Time: 8436.6 ms
[2020-11-11 01:22:14	                main:574]	:	INFO	:	Epoch 11 | loss: 0.0476701 | val_loss: 0.0472634 | Time: 7687.12 ms
[2020-11-11 01:22:22	                main:574]	:	INFO	:	Epoch 12 | loss: 0.0458773 | val_loss: 0.0452334 | Time: 7843.18 ms
[2020-11-11 01:22:30	                main:574]	:	INFO	:	Epoch 13 | loss: 0.0437958 | val_loss: 0.0433056 | Time: 7650.77 ms
[2020-11-11 01:22:38	                main:574]	:	INFO	:	Epoch 14 | loss: 0.0413064 | val_loss: 0.0407643 | Time: 8376 ms
[2020-11-11 01:22:46	                main:574]	:	INFO	:	Epoch 15 | loss: 0.038396 | val_loss: 0.0373189 | Time: 7874.68 ms
[2020-11-11 01:22:55	                main:574]	:	INFO	:	Epoch 16 | loss: 0.0349475 | val_loss: 0.0351259 | Time: 8159.92 ms
[2020-11-11 01:23:02	                main:574]	:	INFO	:	Epoch 17 | loss: 0.0314888 | val_loss: 0.0309271 | Time: 7698.91 ms
[2020-11-11 01:23:10	                main:574]	:	INFO	:	Epoch 18 | loss: 0.0279313 | val_loss: 0.0263361 | Time: 8039.94 ms
[2020-11-11 01:23:19	                main:574]	:	INFO	:	Epoch 19 | loss: 0.0252469 | val_loss: 0.0254011 | Time: 7976.76 ms
[2020-11-11 01:23:27	                main:574]	:	INFO	:	Epoch 20 | loss: 0.0225514 | val_loss: 0.021149 | Time: 8291.92 ms
[2020-11-11 01:23:35	                main:574]	:	INFO	:	Epoch 21 | loss: 0.0204507 | val_loss: 0.0169977 | Time: 7766.07 ms
[2020-11-11 01:23:43	                main:574]	:	INFO	:	Epoch 22 | loss: 0.0155384 | val_loss: 0.0165925 | Time: 8162.73 ms
[2020-11-11 01:23:51	                main:574]	:	INFO	:	Epoch 23 | loss: 0.0204326 | val_loss: 0.0238201 | Time: 8045.43 ms
[2020-11-11 01:23:59	                main:574]	:	INFO	:	Epoch 24 | loss: 0.0244521 | val_loss: 0.0412731 | Time: 8166.7 ms
[2020-11-11 01:24:08	                main:574]	:	INFO	:	Epoch 25 | loss: 0.0207173 | val_loss: 0.0182096 | Time: 8027.66 ms
[2020-11-11 01:24:16	                main:574]	:	INFO	:	Epoch 26 | loss: 0.01924 | val_loss: 0.0155634 | Time: 7970.87 ms
[2020-11-11 01:24:24	                main:574]	:	INFO	:	Epoch 27 | loss: 0.0117682 | val_loss: 0.0115738 | Time: 8115.68 ms
[2020-11-11 01:24:32	                main:574]	:	INFO	:	Epoch 28 | loss: 0.0108662 | val_loss: 0.0116783 | Time: 8221.29 ms
[2020-11-11 01:24:41	                main:574]	:	INFO	:	Epoch 29 | loss: 0.0108165 | val_loss: 0.00925217 | Time: 8516.19 ms
[2020-11-11 01:24:49	                main:574]	:	INFO	:	Epoch 30 | loss: 0.00854017 | val_loss: 0.00843766 | Time: 8045.83 ms
[2020-11-11 01:24:57	                main:574]	:	INFO	:	Epoch 31 | loss: 0.00862603 | val_loss: 0.00951957 | Time: 7908.74 ms
[2020-11-11 01:25:06	                main:574]	:	INFO	:	Epoch 32 | loss: 0.00830241 | val_loss: 0.00815504 | Time: 8412.75 ms
[2020-11-11 01:25:14	                main:574]	:	INFO	:	Epoch 33 | loss: 0.00751615 | val_loss: 0.00745611 | Time: 8031.19 ms
[2020-11-11 01:25:22	                main:574]	:	INFO	:	Epoch 34 | loss: 0.00713575 | val_loss: 0.00714803 | Time: 7872.42 ms
[2020-11-11 01:25:30	                main:574]	:	INFO	:	Epoch 35 | loss: 0.00683514 | val_loss: 0.00689151 | Time: 7739.61 ms
[2020-11-11 01:25:38	                main:574]	:	INFO	:	Epoch 36 | loss: 0.00657847 | val_loss: 0.00666415 | Time: 8406.49 ms
[2020-11-11 01:25:47	                main:574]	:	INFO	:	Epoch 37 | loss: 0.00636254 | val_loss: 0.00642609 | Time: 8115.13 ms
[2020-11-11 01:25:54	                main:574]	:	INFO	:	Epoch 38 | loss: 0.00612918 | val_loss: 0.00621119 | Time: 7528.54 ms
[2020-11-11 01:26:02	                main:574]	:	INFO	:	Epoch 39 | loss: 0.00591786 | val_loss: 0.00600626 | Time: 8084.23 ms
[2020-11-11 01:26:10	                main:574]	:	INFO	:	Epoch 40 | loss: 0.00570681 | val_loss: 0.00577757 | Time: 7993.39 ms
[2020-11-11 01:26:18	                main:574]	:	INFO	:	Epoch 41 | loss: 0.00550666 | val_loss: 0.00557634 | Time: 7636.36 ms
[2020-11-11 01:26:26	                main:574]	:	INFO	:	Epoch 42 | loss: 0.00531431 | val_loss: 0.00538208 | Time: 8125.01 ms
[2020-11-11 01:26:34	                main:574]	:	INFO	:	Epoch 43 | loss: 0.00512457 | val_loss: 0.00518002 | Time: 7834.68 ms
[2020-11-11 01:26:42	                main:574]	:	INFO	:	Epoch 44 | loss: 0.00494144 | val_loss: 0.00502833 | Time: 8061.01 ms
[2020-11-11 01:26:50	                main:574]	:	INFO	:	Epoch 45 | loss: 0.0048642 | val_loss: 0.00495483 | Time: 8046.59 ms
[2020-11-11 01:26:59	                main:574]	:	INFO	:	Epoch 46 | loss: 0.00461587 | val_loss: 0.00463988 | Time: 7967.05 ms
[2020-11-11 01:27:07	                main:574]	:	INFO	:	Epoch 47 | loss: 0.00441631 | val_loss: 0.00445975 | Time: 8164.53 ms
[2020-11-11 01:27:15	                main:574]	:	INFO	:	Epoch 48 | loss: 0.00425111 | val_loss: 0.00429116 | Time: 7799.96 ms
[2020-11-11 01:27:23	                main:574]	:	INFO	:	Epoch 49 | loss: 0.00408945 | val_loss: 0.00411896 | Time: 8075.19 ms
[2020-11-11 01:27:31	                main:574]	:	INFO	:	Epoch 50 | loss: 0.00393431 | val_loss: 0.003962 | Time: 8436 ms
[2020-11-11 01:27:40	                main:574]	:	INFO	:	Epoch 51 | loss: 0.00378583 | val_loss: 0.00377203 | Time: 8148.99 ms
[2020-11-11 01:27:48	                main:574]	:	INFO	:	Epoch 52 | loss: 0.00363964 | val_loss: 0.00362171 | Time: 8214.43 ms
[2020-11-11 01:27:56	                main:574]	:	INFO	:	Epoch 53 | loss: 0.00349802 | val_loss: 0.00348122 | Time: 7954.99 ms
[2020-11-11 01:28:04	                main:574]	:	INFO	:	Epoch 54 | loss: 0.00336203 | val_loss: 0.00334104 | Time: 8074.73 ms
[2020-11-11 01:28:12	                main:574]	:	INFO	:	Epoch 55 | loss: 0.00322878 | val_loss: 0.00320771 | Time: 7852.31 ms
[2020-11-11 01:28:20	                main:574]	:	INFO	:	Epoch 56 | loss: 0.0031007 | val_loss: 0.00307631 | Time: 8093 ms
[2020-11-11 01:28:28	                main:574]	:	INFO	:	Epoch 57 | loss: 0.00297634 | val_loss: 0.00295552 | Time: 8034.91 ms
[2020-11-11 01:28:36	                main:574]	:	INFO	:	Epoch 58 | loss: 0.00285727 | val_loss: 0.00283279 | Time: 7633.42 ms
[2020-11-11 01:28:44	                main:574]	:	INFO	:	Epoch 59 | loss: 0.00274169 | val_loss: 0.00271677 | Time: 7766.83 ms
[2020-11-11 01:28:52	                main:574]	:	INFO	:	Epoch 60 | loss: 0.00262863 | val_loss: 0.00260337 | Time: 7878.19 ms
[2020-11-11 01:29:00	                main:574]	:	INFO	:	Epoch 61 | loss: 0.00252109 | val_loss: 0.00249681 | Time: 8185.09 ms
[2020-11-11 01:29:08	                main:574]	:	INFO	:	Epoch 62 | loss: 0.00241714 | val_loss: 0.00239298 | Time: 8131.34 ms
[2020-11-11 01:29:16	                main:574]	:	INFO	:	Epoch 63 | loss: 0.00231712 | val_loss: 0.00229576 | Time: 7980.8 ms
[2020-11-11 01:29:24	                main:574]	:	INFO	:	Epoch 64 | loss: 0.00221918 | val_loss: 0.00219695 | Time: 7696.05 ms
[2020-11-11 01:29:32	                main:574]	:	INFO	:	Epoch 65 | loss: 0.00212797 | val_loss: 0.00210772 | Time: 7908.11 ms
[2020-11-11 01:29:40	                main:574]	:	INFO	:	Epoch 66 | loss: 0.00203778 | val_loss: 0.00202114 | Time: 8008.95 ms
[2020-11-11 01:29:48	                main:574]	:	INFO	:	Epoch 67 | loss: 0.00195147 | val_loss: 0.00193093 | Time: 8021.77 ms
[2020-11-11 01:29:56	                main:574]	:	INFO	:	Epoch 68 | loss: 0.00186919 | val_loss: 0.00185174 | Time: 7964.94 ms
[2020-11-11 01:30:04	                main:574]	:	INFO	:	Epoch 69 | loss: 0.00178862 | val_loss: 0.00177369 | Time: 7883.29 ms
[2020-11-11 01:30:13	                main:574]	:	INFO	:	Epoch 70 | loss: 0.00171239 | val_loss: 0.00169736 | Time: 7998.42 ms
[2020-11-11 01:30:20	                main:574]	:	INFO	:	Epoch 71 | loss: 0.00163997 | val_loss: 0.00162466 | Time: 7896.3 ms
[2020-11-11 01:30:29	                main:574]	:	INFO	:	Epoch 72 | loss: 0.00156952 | val_loss: 0.00155261 | Time: 8154.19 ms
[2020-11-11 01:30:36	                main:574]	:	INFO	:	Epoch 73 | loss: 0.00150288 | val_loss: 0.00148849 | Time: 7702.72 ms
[2020-11-11 01:30:44	                main:574]	:	INFO	:	Epoch 74 | loss: 0.00143809 | val_loss: 0.00142554 | Time: 7737.6 ms
[2020-11-11 01:30:52	                main:574]	:	INFO	:	Epoch 75 | loss: 0.0013784 | val_loss: 0.00136709 | Time: 7754.7 ms
[2020-11-11 01:31:00	                main:574]	:	INFO	:	Epoch 76 | loss: 0.00132038 | val_loss: 0.00130873 | Time: 7914.2 ms
[2020-11-11 01:31:08	                main:574]	:	INFO	:	Epoch 77 | loss: 0.00126377 | val_loss: 0.00125639 | Time: 7848.01 ms
[2020-11-11 01:31:16	                main:574]	:	INFO	:	Epoch 78 | loss: 0.00121174 | val_loss: 0.00120594 | Time: 7988.61 ms
[2020-11-11 01:31:24	                main:574]	:	INFO	:	Epoch 79 | loss: 0.00116115 | val_loss: 0.00115092 | Time: 8089.77 ms
[2020-11-11 01:31:32	                main:574]	:	INFO	:	Epoch 80 | loss: 0.00111213 | val_loss: 0.00110392 | Time: 7940.03 ms
[2020-11-11 01:31:40	                main:574]	:	INFO	:	Epoch 81 | loss: 0.00106681 | val_loss: 0.00106162 | Time: 7827.63 ms
[2020-11-11 01:31:48	                main:574]	:	INFO	:	Epoch 82 | loss: 0.00102364 | val_loss: 0.0010171 | Time: 7839.99 ms
[2020-11-11 01:31:56	                main:574]	:	INFO	:	Epoch 83 | loss: 0.000980697 | val_loss: 0.000973707 | Time: 7812.89 ms
[2020-11-11 01:32:04	                main:574]	:	INFO	:	Epoch 84 | loss: 0.000941336 | val_loss: 0.000941308 | Time: 8065.27 ms
[2020-11-11 01:32:12	                main:574]	:	INFO	:	Epoch 85 | loss: 0.000903352 | val_loss: 0.000900895 | Time: 7726.99 ms
[2020-11-11 01:32:20	                main:574]	:	INFO	:	Epoch 86 | loss: 0.000867103 | val_loss: 0.000863409 | Time: 7728.04 ms
[2020-11-11 01:32:28	                main:574]	:	INFO	:	Epoch 87 | loss: 0.000831846 | val_loss: 0.000829873 | Time: 8211.97 ms
[2020-11-11 01:32:36	                main:574]	:	INFO	:	Epoch 88 | loss: 0.000797643 | val_loss: 0.000798931 | Time: 8121.9 ms
[2020-11-11 01:32:44	                main:574]	:	INFO	:	Epoch 89 | loss: 0.000767007 | val_loss: 0.000766746 | Time: 7963.3 ms
[2020-11-11 01:32:52	                main:574]	:	INFO	:	Epoch 90 | loss: 0.000735684 | val_loss: 0.000738971 | Time: 7961.8 ms
[2020-11-11 01:33:00	                main:574]	:	INFO	:	Epoch 91 | loss: 0.00070664 | val_loss: 0.000707348 | Time: 7814.84 ms
[2020-11-11 01:33:08	                main:574]	:	INFO	:	Epoch 92 | loss: 0.000678142 | val_loss: 0.00067747 | Time: 7935.95 ms
[2020-11-11 01:33:16	                main:574]	:	INFO	:	Epoch 93 | loss: 0.000652069 | val_loss: 0.000652612 | Time: 7791.08 ms
[2020-11-11 01:33:24	                main:574]	:	INFO	:	Epoch 94 | loss: 0.000626103 | val_loss: 0.000627351 | Time: 7932.36 ms
[2020-11-11 01:33:32	                main:574]	:	INFO	:	Epoch 95 | loss: 0.000601889 | val_loss: 0.000603002 | Time: 7632.57 ms
[2020-11-11 01:33:40	                main:574]	:	INFO	:	Epoch 96 | loss: 0.000578459 | val_loss: 0.000579497 | Time: 7940.71 ms
[2020-11-11 01:33:48	                main:574]	:	INFO	:	Epoch 97 | loss: 0.000556269 | val_loss: 0.000563765 | Time: 7926.75 ms
[2020-11-11 01:33:56	                main:574]	:	INFO	:	Epoch 98 | loss: 0.000535045 | val_loss: 0.000539389 | Time: 7825.36 ms
[2020-11-11 01:34:03	                main:574]	:	INFO	:	Epoch 99 | loss: 0.00051466 | val_loss: 0.000516295 | Time: 7789.61 ms
[2020-11-11 01:34:11	                main:574]	:	INFO	:	Epoch 100 | loss: 0.00049544 | val_loss: 0.000498705 | Time: 7512.19 ms
[2020-11-11 01:34:19	                main:574]	:	INFO	:	Epoch 101 | loss: 0.000477112 | val_loss: 0.000478809 | Time: 8293.05 ms
[2020-11-11 01:34:27	                main:574]	:	INFO	:	Epoch 102 | loss: 0.000460254 | val_loss: 0.000461113 | Time: 7792.69 ms
[2020-11-11 01:34:35	                main:574]	:	INFO	:	Epoch 103 | loss: 0.000441842 | val_loss: 0.000440311 | Time: 7861.06 ms
[2020-11-11 01:34:43	                main:574]	:	INFO	:	Epoch 104 | loss: 0.000425887 | val_loss: 0.000425343 | Time: 8243.97 ms
[2020-11-11 01:34:52	                main:574]	:	INFO	:	Epoch 105 | loss: 0.000409471 | val_loss: 0.000410776 | Time: 8090.55 ms
[2020-11-11 01:35:00	                main:574]	:	INFO	:	Epoch 106 | loss: 0.000395723 | val_loss: 0.000396073 | Time: 7756.24 ms
[2020-11-11 01:35:08	                main:574]	:	INFO	:	Epoch 107 | loss: 0.000381969 | val_loss: 0.0003827 | Time: 7925.3 ms
[2020-11-11 01:35:15	                main:574]	:	INFO	:	Epoch 108 | loss: 0.000369564 | val_loss: 0.000373061 | Time: 7696.84 ms
[2020-11-11 01:35:23	                main:574]	:	INFO	:	Epoch 109 | loss: 0.000357317 | val_loss: 0.000359316 | Time: 7629.47 ms
[2020-11-11 01:35:31	                main:574]	:	INFO	:	Epoch 110 | loss: 0.000345943 | val_loss: 0.000351312 | Time: 7821.63 ms
[2020-11-11 01:35:39	                main:574]	:	INFO	:	Epoch 111 | loss: 0.000335433 | val_loss: 0.00033736 | Time: 7874.53 ms
[2020-11-11 01:35:47	                main:574]	:	INFO	:	Epoch 112 | loss: 0.000325067 | val_loss: 0.00033029 | Time: 7920.43 ms
[2020-11-11 01:35:55	                main:574]	:	INFO	:	Epoch 113 | loss: 0.000315617 | val_loss: 0.000317799 | Time: 7905.48 ms
[2020-11-11 01:36:03	                main:574]	:	INFO	:	Epoch 114 | loss: 0.000306103 | val_loss: 0.000312409 | Time: 7709.93 ms
[2020-11-11 01:36:11	                main:574]	:	INFO	:	Epoch 115 | loss: 0.000297072 | val_loss: 0.000298587 | Time: 7808.13 ms
[2020-11-11 01:36:19	                main:574]	:	INFO	:	Epoch 116 | loss: 0.000288801 | val_loss: 0.000292955 | Time: 8158.35 ms
[2020-11-11 01:36:27	                main:574]	:	INFO	:	Epoch 117 | loss: 0.000281196 | val_loss: 0.000282289 | Time: 8009.64 ms
[2020-11-11 01:36:35	                main:574]	:	INFO	:	Epoch 118 | loss: 0.000273338 | val_loss: 0.000275745 | Time: 8056.83 ms
[2020-11-11 01:36:43	                main:574]	:	INFO	:	Epoch 119 | loss: 0.000265801 | val_loss: 0.000266751 | Time: 8064.37 ms
[2020-11-11 01:36:51	                main:574]	:	INFO	:	Epoch 120 | loss: 0.000259135 | val_loss: 0.000261237 | Time: 7943.16 ms
[2020-11-11 01:36:59	                main:574]	:	INFO	:	Epoch 121 | loss: 0.000251324 | val_loss: 0.000253406 | Time: 7714.37 ms
[2020-11-11 01:37:07	                main:574]	:	INFO	:	Epoch 122 | loss: 0.000245687 | val_loss: 0.000249671 | Time: 8048.31 ms
[2020-11-11 01:37:15	                main:574]	:	INFO	:	Epoch 123 | loss: 0.000238607 | val_loss: 0.00024491 | Time: 8099.89 ms
[2020-11-11 01:37:23	                main:574]	:	INFO	:	Epoch 124 | loss: 0.000233422 | val_loss: 0.000235134 | Time: 7970.61 ms
[2020-11-11 01:37:32	                main:574]	:	INFO	:	Epoch 125 | loss: 0.000227346 | val_loss: 0.0002296 | Time: 8162.28 ms
[2020-11-11 01:37:40	                main:574]	:	INFO	:	Epoch 126 | loss: 0.000221512 | val_loss: 0.000226205 | Time: 7753.93 ms
[2020-11-11 01:37:48	                main:574]	:	INFO	:	Epoch 127 | loss: 0.000215856 | val_loss: 0.00021925 | Time: 8526.52 ms
[2020-11-11 01:37:56	                main:574]	:	INFO	:	Epoch 128 | loss: 0.000211456 | val_loss: 0.000214643 | Time: 8182.35 ms
[2020-11-11 01:38:04	                main:574]	:	INFO	:	Epoch 129 | loss: 0.000206686 | val_loss: 0.000208231 | Time: 7776.38 ms
[2020-11-11 01:38:13	                main:574]	:	INFO	:	Epoch 130 | loss: 0.000201698 | val_loss: 0.000204965 | Time: 7770.46 ms
[2020-11-11 01:38:20	                main:574]	:	INFO	:	Epoch 131 | loss: 0.000197567 | val_loss: 0.000202207 | Time: 7478.5 ms
[2020-11-11 01:38:28	                main:574]	:	INFO	:	Epoch 132 | loss: 0.00019362 | val_loss: 0.000196991 | Time: 7858.47 ms
[2020-11-11 01:38:36	                main:574]	:	INFO	:	Epoch 133 | loss: 0.000190113 | val_loss: 0.000192364 | Time: 7786.16 ms
[2020-11-11 01:38:44	                main:574]	:	INFO	:	Epoch 134 | loss: 0.000184177 | val_loss: 0.000186852 | Time: 7855.2 ms
[2020-11-11 01:38:52	                main:574]	:	INFO	:	Epoch 135 | loss: 0.00018146 | val_loss: 0.000185232 | Time: 7901.75 ms
[2020-11-11 01:39:01	                main:574]	:	INFO	:	Epoch 136 | loss: 0.00017775 | val_loss: 0.000180952 | Time: 8456.52 ms
[2020-11-11 01:39:09	                main:574]	:	INFO	:	Epoch 137 | loss: 0.000173619 | val_loss: 0.000176785 | Time: 7951.51 ms
[2020-11-11 01:39:17	                main:574]	:	INFO	:	Epoch 138 | loss: 0.000170313 | val_loss: 0.000174792 | Time: 7891.61 ms
[2020-11-11 01:39:25	                main:574]	:	INFO	:	Epoch 139 | loss: 0.000167385 | val_loss: 0.000169511 | Time: 7758.57 ms
[2020-11-11 01:39:33	                main:574]	:	INFO	:	Epoch 140 | loss: 0.000163616 | val_loss: 0.000167777 | Time: 8189.69 ms
[2020-11-11 01:39:41	                main:574]	:	INFO	:	Epoch 141 | loss: 0.000161393 | val_loss: 0.000163763 | Time: 7573.23 ms
[2020-11-11 01:39:49	                main:574]	:	INFO	:	Epoch 142 | loss: 0.00015777 | val_loss: 0.000160532 | Time: 8159.39 ms
[2020-11-11 01:39:57	                main:574]	:	INFO	:	Epoch 143 | loss: 0.000155316 | val_loss: 0.000156892 | Time: 8122.53 ms
[2020-11-11 01:40:06	                main:574]	:	INFO	:	Epoch 144 | loss: 0.000151853 | val_loss: 0.000154773 | Time: 8228.74 ms
[2020-11-11 01:40:14	                main:574]	:	INFO	:	Epoch 145 | loss: 0.000149507 | val_loss: 0.000153243 | Time: 7897.77 ms
[2020-11-11 01:40:22	                main:574]	:	INFO	:	Epoch 146 | loss: 0.000146576 | val_loss: 0.000155495 | Time: 8227.16 ms
[2020-11-11 01:40:30	                main:574]	:	INFO	:	Epoch 147 | loss: 0.000144978 | val_loss: 0.000149326 | Time: 8123.39 ms
[2020-11-11 01:40:38	                main:574]	:	INFO	:	Epoch 148 | loss: 0.000142271 | val_loss: 0.000144792 | Time: 7925.24 ms
[2020-11-11 01:40:46	                main:574]	:	INFO	:	Epoch 149 | loss: 0.000138715 | val_loss: 0.000142986 | Time: 8109.25 ms
[2020-11-11 01:40:54	                main:574]	:	INFO	:	Epoch 150 | loss: 0.000137219 | val_loss: 0.000142073 | Time: 8146.04 ms
[2020-11-11 01:41:02	                main:574]	:	INFO	:	Epoch 151 | loss: 0.000134609 | val_loss: 0.000137846 | Time: 7872.15 ms
[2020-11-11 01:41:10	                main:574]	:	INFO	:	Epoch 152 | loss: 0.000132512 | val_loss: 0.000136346 | Time: 8002.12 ms
[2020-11-11 01:41:19	                main:574]	:	INFO	:	Epoch 153 | loss: 0.000130383 | val_loss: 0.000134998 | Time: 8150.01 ms
[2020-11-11 01:41:27	                main:574]	:	INFO	:	Epoch 154 | loss: 0.000128207 | val_loss: 0.000132306 | Time: 7850.98 ms
[2020-11-11 01:41:34	                main:574]	:	INFO	:	Epoch 155 | loss: 0.000126711 | val_loss: 0.00013001 | Time: 7773.22 ms
[2020-11-11 01:41:42	                main:574]	:	INFO	:	Epoch 156 | loss: 0.000124257 | val_loss: 0.000131082 | Time: 8003.72 ms
[2020-11-11 01:41:51	                main:574]	:	INFO	:	Epoch 157 | loss: 0.000122444 | val_loss: 0.000126416 | Time: 8004.01 ms
[2020-11-11 01:41:58	                main:574]	:	INFO	:	Epoch 158 | loss: 0.000120351 | val_loss: 0.000124201 | Time: 7894.57 ms
[2020-11-11 01:42:07	                main:574]	:	INFO	:	Epoch 159 | loss: 0.000119002 | val_loss: 0.000126498 | Time: 8314.17 ms
[2020-11-11 01:42:15	                main:574]	:	INFO	:	Epoch 160 | loss: 0.000117342 | val_loss: 0.000120015 | Time: 7901.5 ms
[2020-11-11 01:42:23	                main:574]	:	INFO	:	Epoch 161 | loss: 0.000114747 | val_loss: 0.000119223 | Time: 8184.99 ms
[2020-11-11 01:42:31	                main:574]	:	INFO	:	Epoch 162 | loss: 0.000113625 | val_loss: 0.000118857 | Time: 7974.13 ms
[2020-11-11 01:42:39	                main:574]	:	INFO	:	Epoch 163 | loss: 0.00011162 | val_loss: 0.000115682 | Time: 7496.34 ms
[2020-11-11 01:42:53	                main:574]	:	INFO	:	Epoch 164 | loss: 0.000109913 | val_loss: 0.000113535 | Time: 13772.2 ms
[2020-11-11 01:43:08	                main:574]	:	INFO	:	Epoch 165 | loss: 0.000108433 | val_loss: 0.000111538 | Time: 15398.1 ms
[2020-11-11 01:43:17	                main:574]	:	INFO	:	Epoch 166 | loss: 0.000107073 | val_loss: 0.000111373 | Time: 8017.02 ms
[2020-11-11 01:43:24	                main:574]	:	INFO	:	Epoch 167 | loss: 0.000105722 | val_loss: 0.000111189 | Time: 7586.68 ms
[2020-11-11 01:43:32	                main:574]	:	INFO	:	Epoch 168 | loss: 0.000104285 | val_loss: 0.000108474 | Time: 7436.48 ms
[2020-11-11 01:43:41	                main:574]	:	INFO	:	Epoch 169 | loss: 0.00010274 | val_loss: 0.000107094 | Time: 9091.25 ms
[2020-11-11 01:43:51	                main:574]	:	INFO	:	Epoch 170 | loss: 0.000101401 | val_loss: 0.000104482 | Time: 9874.21 ms
[2020-11-11 01:44:01	                main:574]	:	INFO	:	Epoch 171 | loss: 9.99117e-05 | val_loss: 0.000104591 | Time: 9706.68 ms
[2020-11-11 01:44:11	                main:574]	:	INFO	:	Epoch 172 | loss: 9.88566e-05 | val_loss: 0.000104421 | Time: 9933.76 ms
[2020-11-11 01:44:21	                main:574]	:	INFO	:	Epoch 173 | loss: 9.72875e-05 | val_loss: 0.000103409 | Time: 9919.63 ms
[2020-11-11 01:44:31	                main:574]	:	INFO	:	Epoch 174 | loss: 9.59847e-05 | val_loss: 0.000101819 | Time: 9757.36 ms
[2020-11-11 01:44:40	                main:574]	:	INFO	:	Epoch 175 | loss: 9.50088e-05 | val_loss: 9.94891e-05 | Time: 9720.91 ms
[2020-11-11 01:44:49	                main:574]	:	INFO	:	Epoch 176 | loss: 9.34462e-05 | val_loss: 9.80376e-05 | Time: 9008.89 ms
[2020-11-11 01:44:55	                main:574]	:	INFO	:	Epoch 177 | loss: 9.24263e-05 | val_loss: 9.78534e-05 | Time: 5705.48 ms
[2020-11-11 01:45:01	                main:574]	:	INFO	:	Epoch 178 | loss: 9.1593e-05 | val_loss: 9.68426e-05 | Time: 5706.87 ms
[2020-11-11 01:45:07	                main:574]	:	INFO	:	Epoch 179 | loss: 9.0441e-05 | val_loss: 9.41493e-05 | Time: 5641.18 ms
[2020-11-11 01:45:14	                main:574]	:	INFO	:	Epoch 180 | loss: 8.92079e-05 | val_loss: 9.33773e-05 | Time: 6937.97 ms
[2020-11-11 01:45:21	                main:574]	:	INFO	:	Epoch 181 | loss: 8.81969e-05 | val_loss: 9.15351e-05 | Time: 7758.05 ms
[2020-11-11 01:45:31	                main:574]	:	INFO	:	Epoch 182 | loss: 8.73066e-05 | val_loss: 9.19556e-05 | Time: 9011.57 ms
[2020-11-11 01:45:40	                main:574]	:	INFO	:	Epoch 183 | loss: 8.61654e-05 | val_loss: 9.09933e-05 | Time: 9343.02 ms
[2020-11-11 01:45:49	                main:574]	:	INFO	:	Epoch 184 | loss: 8.47272e-05 | val_loss: 8.91855e-05 | Time: 9012.63 ms
[2020-11-11 01:45:58	                main:574]	:	INFO	:	Epoch 185 | loss: 8.40144e-05 | val_loss: 8.7116e-05 | Time: 9018.45 ms
[2020-11-11 01:46:07	                main:574]	:	INFO	:	Epoch 186 | loss: 8.27971e-05 | val_loss: 8.68566e-05 | Time: 9086.24 ms
[2020-11-11 01:46:16	                main:574]	:	INFO	:	Epoch 187 | loss: 8.20756e-05 | val_loss: 8.5243e-05 | Time: 8948.26 ms
[2020-11-11 01:46:25	                main:574]	:	INFO	:	Epoch 188 | loss: 8.10704e-05 | val_loss: 8.51448e-05 | Time: 8436.46 ms
[2020-11-11 01:46:31	                main:574]	:	INFO	:	Epoch 189 | loss: 8.00302e-05 | val_loss: 8.5637e-05 | Time: 5673.37 ms
[2020-11-11 01:46:36	                main:574]	:	INFO	:	Epoch 190 | loss: 7.91898e-05 | val_loss: 8.25643e-05 | Time: 5694.84 ms
[2020-11-11 01:46:42	                main:574]	:	INFO	:	Epoch 191 | loss: 7.85108e-05 | val_loss: 8.14808e-05 | Time: 5632.41 ms
[2020-11-11 01:46:48	                main:574]	:	INFO	:	Epoch 192 | loss: 7.76659e-05 | val_loss: 8.30487e-05 | Time: 5708.81 ms
[2020-11-11 01:46:48	                main:597]	:	INFO	:	Saving trained model to model-final.pt, val_loss 8.30487e-05
[2020-11-11 01:46:48	                main:603]	:	INFO	:	Saving end state to config to file
[2020-11-11 01:46:48	                main:608]	:	INFO	:	Success, exiting..
01:46:48 (6368): 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)