Task 2864568

Name rand_automata_0091-1605108849-17082-0_1
Workunit 1292217
Created 11 Nov 2020, 15:34:11 UTC
Sent 11 Nov 2020, 21:53:51 UTC
Report deadline 19 Nov 2020, 21:53:51 UTC
Received 11 Nov 2020, 23:18:09 UTC
Server state Over
Outcome Success
Client state Done
Exit status 0 (0x00000000)
Computer ID 4439
Run time 1 hours 21 min 47 sec
CPU time 1 hours 21 min 3 sec
Validate state Valid
Credit 959.40
Device peak FLOPS 1,476.13 GFLOPS
Application version Machine Learning Dataset Generator (GPU) v9.75 (cuda10200)
windows_x86_64
Peak working set size 1.41 GB
Peak swap size 2.52 GB
Peak disk usage 1.54 GB

Stderr output

<core_client_version>7.16.11</core_client_version>
<![CDATA[
<stderr_txt>
Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: GeForce GTX 750 Ti)
[2020-11-11 16:56:10	                main:435]	:	INFO	:	Set logging level to 1
[2020-11-11 16:56:10	                main:441]	:	INFO	:	Running in BOINC Client mode
[2020-11-11 16:56:10	                main:444]	:	INFO	:	Resolving all filenames
[2020-11-11 16:56:10	                main:452]	:	INFO	:	Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0091-train-val-dataset.hdf5 (exists = 1)
[2020-11-11 16:56:10	                main:452]	:	INFO	:	Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0091-1605108849-17082-0_1_r727267497_1 (exists = 0)
[2020-11-11 16:56:10	                main:452]	:	INFO	:	Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0091-1605108849-17082-0_1_r727267497_0 (exists = 0)
[2020-11-11 16:56:10	                main:452]	:	INFO	:	Resolved: model-input.pt => model-input.pt (exists = 0)
[2020-11-11 16:56:10	                main:452]	:	INFO	:	Resolved: snapshot.pt => snapshot.pt (exists = 0)
[2020-11-11 16:56:10	                main:472]	:	INFO	:	Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0091-train-val-dataset.hdf5
[2020-11-11 16:56:10	                main:474]	:	INFO	:	Configuration: 
[2020-11-11 16:56:10	                main:475]	:	INFO	:	    Model type: LSTM
[2020-11-11 16:56:10	                main:476]	:	INFO	:	    Validation Loss Threshold: 0.0001
[2020-11-11 16:56:10	                main:477]	:	INFO	:	    Max Epochs: 192
[2020-11-11 16:56:10	                main:478]	:	INFO	:	    Batch Size: 32
[2020-11-11 16:56:10	                main:479]	:	INFO	:	    Learning Rate: 0.001
[2020-11-11 16:56:10	                main:480]	:	INFO	:	    Patience: 10
[2020-11-11 16:56:10	                main:481]	:	INFO	:	    Hidden Width: 64
[2020-11-11 16:56:10	                main:482]	:	INFO	:	    # Recurrent Layers: 4
[2020-11-11 16:56:10	                main:483]	:	INFO	:	    # Backend Layers: 2
[2020-11-11 16:56:10	                main:484]	:	INFO	:	    # Threads: 1
[2020-11-11 16:56:10	                main:486]	:	INFO	:	Preparing Dataset
[2020-11-11 16:56:10	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0091-train-val-dataset.hdf5 into memory
[2020-11-11 16:56:10	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0091-train-val-dataset.hdf5 into memory
[2020-11-11 16:56:12	                load:106]	:	INFO	:	Successfully loaded dataset of 4096 examples into memory.
[2020-11-11 16:56:12	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0091-train-val-dataset.hdf5 into memory
[2020-11-11 16:56:12	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0091-train-val-dataset.hdf5 into memory
[2020-11-11 16:56:12	                load:106]	:	INFO	:	Successfully loaded dataset of 512 examples into memory.
[2020-11-11 16:56:12	                main:494]	:	INFO	:	Creating Model
[2020-11-11 16:56:12	                main:507]	:	INFO	:	Preparing config file
[2020-11-11 16:56:12	                main:519]	:	INFO	:	Creating new config file
[2020-11-11 16:56:13	                main:559]	:	INFO	:	Loading DataLoader into Memory
[2020-11-11 16:56:13	                main:562]	:	INFO	:	Starting Training
[2020-11-11 16:56:41	                main:574]	:	INFO	:	Epoch 1 | loss: 0.0667443 | val_loss: 0.0659133 | Time: 27308.1 ms
[2020-11-11 16:57:08	                main:574]	:	INFO	:	Epoch 2 | loss: 0.0659194 | val_loss: 0.0658823 | Time: 26975.9 ms
[2020-11-11 16:57:34	                main:574]	:	INFO	:	Epoch 3 | loss: 0.0648302 | val_loss: 0.0632784 | Time: 26557.7 ms
[2020-11-11 16:58:01	                main:574]	:	INFO	:	Epoch 4 | loss: 0.0615438 | val_loss: 0.0599636 | Time: 26561.6 ms
[2020-11-11 16:58:26	                main:574]	:	INFO	:	Epoch 5 | loss: 0.0585787 | val_loss: 0.0574041 | Time: 25052.4 ms
[2020-11-11 16:58:51	                main:574]	:	INFO	:	Epoch 6 | loss: 0.0563624 | val_loss: 0.0554738 | Time: 24598.9 ms
[2020-11-11 16:59:16	                main:574]	:	INFO	:	Epoch 7 | loss: 0.0547143 | val_loss: 0.0540832 | Time: 25291.6 ms
[2020-11-11 16:59:42	                main:574]	:	INFO	:	Epoch 8 | loss: 0.0533404 | val_loss: 0.0529199 | Time: 25559.2 ms
[2020-11-11 17:00:07	                main:574]	:	INFO	:	Epoch 9 | loss: 0.0520512 | val_loss: 0.0516945 | Time: 25172.4 ms
[2020-11-11 17:00:32	                main:574]	:	INFO	:	Epoch 10 | loss: 0.0507861 | val_loss: 0.0505021 | Time: 25116.4 ms
[2020-11-11 17:00:57	                main:574]	:	INFO	:	Epoch 11 | loss: 0.0494312 | val_loss: 0.0491778 | Time: 25389.2 ms
[2020-11-11 17:01:23	                main:574]	:	INFO	:	Epoch 12 | loss: 0.0479176 | val_loss: 0.0476276 | Time: 25279.3 ms
[2020-11-11 17:01:48	                main:574]	:	INFO	:	Epoch 13 | loss: 0.0462603 | val_loss: 0.0460414 | Time: 25023.9 ms
[2020-11-11 17:02:13	                main:574]	:	INFO	:	Epoch 14 | loss: 0.0443631 | val_loss: 0.0441049 | Time: 25328.5 ms
[2020-11-11 17:02:38	                main:574]	:	INFO	:	Epoch 15 | loss: 0.0420825 | val_loss: 0.0415481 | Time: 25174.7 ms
[2020-11-11 17:03:03	                main:574]	:	INFO	:	Epoch 16 | loss: 0.0396264 | val_loss: 0.0394992 | Time: 25220.8 ms
[2020-11-11 17:03:29	                main:574]	:	INFO	:	Epoch 17 | loss: 0.0367814 | val_loss: 0.0369331 | Time: 25103.8 ms
[2020-11-11 17:03:54	                main:574]	:	INFO	:	Epoch 18 | loss: 0.0337999 | val_loss: 0.0341765 | Time: 25174.6 ms
[2020-11-11 17:04:19	                main:574]	:	INFO	:	Epoch 19 | loss: 0.030679 | val_loss: 0.0313347 | Time: 25655.1 ms
[2020-11-11 17:04:45	                main:574]	:	INFO	:	Epoch 20 | loss: 0.0275267 | val_loss: 0.0274102 | Time: 25301.1 ms
[2020-11-11 17:05:10	                main:574]	:	INFO	:	Epoch 21 | loss: 0.023519 | val_loss: 0.0238752 | Time: 25166.9 ms
[2020-11-11 17:05:36	                main:574]	:	INFO	:	Epoch 22 | loss: 0.0200534 | val_loss: 0.0201195 | Time: 25821 ms
[2020-11-11 17:06:01	                main:574]	:	INFO	:	Epoch 23 | loss: 0.0195081 | val_loss: 0.0168548 | Time: 25481.3 ms
[2020-11-11 17:06:27	                main:574]	:	INFO	:	Epoch 24 | loss: 0.0151868 | val_loss: 0.0135535 | Time: 25345.1 ms
[2020-11-11 17:06:52	                main:574]	:	INFO	:	Epoch 25 | loss: 0.0138111 | val_loss: 0.0176134 | Time: 25763 ms
[2020-11-11 17:07:18	                main:574]	:	INFO	:	Epoch 26 | loss: 0.0135662 | val_loss: 0.015804 | Time: 25439.7 ms
[2020-11-11 17:07:43	                main:574]	:	INFO	:	Epoch 27 | loss: 0.0140239 | val_loss: 0.0105202 | Time: 25182.2 ms
[2020-11-11 17:08:09	                main:574]	:	INFO	:	Epoch 28 | loss: 0.0113384 | val_loss: 0.00977673 | Time: 25511.8 ms
[2020-11-11 17:08:34	                main:574]	:	INFO	:	Epoch 29 | loss: 0.00863892 | val_loss: 0.00883378 | Time: 25162.4 ms
[2020-11-11 17:08:59	                main:574]	:	INFO	:	Epoch 30 | loss: 0.00923691 | val_loss: 0.00847484 | Time: 24969.4 ms
[2020-11-11 17:09:24	                main:574]	:	INFO	:	Epoch 31 | loss: 0.00788945 | val_loss: 0.00807369 | Time: 24883.1 ms
[2020-11-11 17:09:49	                main:574]	:	INFO	:	Epoch 32 | loss: 0.0072968 | val_loss: 0.00737794 | Time: 25018.7 ms
[2020-11-11 17:10:14	                main:574]	:	INFO	:	Epoch 33 | loss: 0.00689091 | val_loss: 0.00699331 | Time: 25110.7 ms
[2020-11-11 17:10:39	                main:574]	:	INFO	:	Epoch 34 | loss: 0.00656898 | val_loss: 0.00666581 | Time: 24944 ms
[2020-11-11 17:11:04	                main:574]	:	INFO	:	Epoch 35 | loss: 0.00627978 | val_loss: 0.00635688 | Time: 24931.4 ms
[2020-11-11 17:11:29	                main:574]	:	INFO	:	Epoch 36 | loss: 0.0060231 | val_loss: 0.00611578 | Time: 25286.6 ms
[2020-11-11 17:11:54	                main:574]	:	INFO	:	Epoch 37 | loss: 0.00576177 | val_loss: 0.00585477 | Time: 25157.5 ms
[2020-11-11 17:12:19	                main:574]	:	INFO	:	Epoch 38 | loss: 0.0222183 | val_loss: 0.0371175 | Time: 25215 ms
[2020-11-11 17:12:45	                main:574]	:	INFO	:	Epoch 39 | loss: 0.014165 | val_loss: 0.00704134 | Time: 25509.9 ms
[2020-11-11 17:13:10	                main:574]	:	INFO	:	Epoch 40 | loss: 0.00620413 | val_loss: 0.00596349 | Time: 25201.7 ms
[2020-11-11 17:13:35	                main:574]	:	INFO	:	Epoch 41 | loss: 0.00559282 | val_loss: 0.00576896 | Time: 25046.3 ms
[2020-11-11 17:14:01	                main:574]	:	INFO	:	Epoch 42 | loss: 0.00527691 | val_loss: 0.00523105 | Time: 25434.8 ms
[2020-11-11 17:14:26	                main:574]	:	INFO	:	Epoch 43 | loss: 0.00499474 | val_loss: 0.00498774 | Time: 25200.2 ms
[2020-11-11 17:14:51	                main:574]	:	INFO	:	Epoch 44 | loss: 0.00478634 | val_loss: 0.00477729 | Time: 25153.6 ms
[2020-11-11 17:15:16	                main:574]	:	INFO	:	Epoch 45 | loss: 0.00460386 | val_loss: 0.00458845 | Time: 25128.8 ms
[2020-11-11 17:15:41	                main:574]	:	INFO	:	Epoch 46 | loss: 0.00442875 | val_loss: 0.00441824 | Time: 25244.3 ms
[2020-11-11 17:16:06	                main:574]	:	INFO	:	Epoch 47 | loss: 0.00426865 | val_loss: 0.00425818 | Time: 25029 ms
[2020-11-11 17:16:32	                main:574]	:	INFO	:	Epoch 48 | loss: 0.00414656 | val_loss: 0.00412492 | Time: 25153.6 ms
[2020-11-11 17:16:57	                main:574]	:	INFO	:	Epoch 49 | loss: 0.00396926 | val_loss: 0.00395396 | Time: 25409.9 ms
[2020-11-11 17:17:22	                main:574]	:	INFO	:	Epoch 50 | loss: 0.00382053 | val_loss: 0.00381002 | Time: 25088.4 ms
[2020-11-11 17:17:47	                main:574]	:	INFO	:	Epoch 51 | loss: 0.00368128 | val_loss: 0.00366876 | Time: 25083.2 ms
[2020-11-11 17:18:13	                main:574]	:	INFO	:	Epoch 52 | loss: 0.00354582 | val_loss: 0.00352964 | Time: 25254.9 ms
[2020-11-11 17:18:37	                main:574]	:	INFO	:	Epoch 53 | loss: 0.00341393 | val_loss: 0.00339969 | Time: 24869.6 ms
[2020-11-11 17:19:03	                main:574]	:	INFO	:	Epoch 54 | loss: 0.00328676 | val_loss: 0.00327223 | Time: 25227.5 ms
[2020-11-11 17:19:28	                main:574]	:	INFO	:	Epoch 55 | loss: 0.00316209 | val_loss: 0.00314453 | Time: 24946.2 ms
[2020-11-11 17:19:53	                main:574]	:	INFO	:	Epoch 56 | loss: 0.00303995 | val_loss: 0.0030227 | Time: 25358.3 ms
[2020-11-11 17:20:18	                main:574]	:	INFO	:	Epoch 57 | loss: 0.00292218 | val_loss: 0.00290294 | Time: 25266.5 ms
[2020-11-11 17:20:44	                main:574]	:	INFO	:	Epoch 58 | loss: 0.00280696 | val_loss: 0.00278607 | Time: 25375.5 ms
[2020-11-11 17:21:09	                main:574]	:	INFO	:	Epoch 59 | loss: 0.00269562 | val_loss: 0.00267602 | Time: 25143.8 ms
[2020-11-11 17:21:34	                main:574]	:	INFO	:	Epoch 60 | loss: 0.00258785 | val_loss: 0.00256648 | Time: 25474.4 ms
[2020-11-11 17:22:00	                main:574]	:	INFO	:	Epoch 61 | loss: 0.00248231 | val_loss: 0.00246184 | Time: 25370.4 ms
[2020-11-11 17:22:25	                main:574]	:	INFO	:	Epoch 62 | loss: 0.00238024 | val_loss: 0.00235953 | Time: 25150.1 ms
[2020-11-11 17:22:52	                main:574]	:	INFO	:	Epoch 63 | loss: 0.00228284 | val_loss: 0.00226111 | Time: 27397.5 ms
[2020-11-11 17:23:20	                main:574]	:	INFO	:	Epoch 64 | loss: 0.00218655 | val_loss: 0.00216598 | Time: 27865.3 ms
[2020-11-11 17:23:45	                main:574]	:	INFO	:	Epoch 65 | loss: 0.00209476 | val_loss: 0.00207438 | Time: 25176.3 ms
[2020-11-11 17:24:10	                main:574]	:	INFO	:	Epoch 66 | loss: 0.00200567 | val_loss: 0.00198376 | Time: 24726.9 ms
[2020-11-11 17:24:35	                main:574]	:	INFO	:	Epoch 67 | loss: 0.0019194 | val_loss: 0.00190074 | Time: 25217.2 ms
[2020-11-11 17:25:01	                main:574]	:	INFO	:	Epoch 68 | loss: 0.00183851 | val_loss: 0.00181905 | Time: 25401.5 ms
[2020-11-11 17:25:26	                main:574]	:	INFO	:	Epoch 69 | loss: 0.00175883 | val_loss: 0.00174149 | Time: 25411 ms
[2020-11-11 17:25:52	                main:574]	:	INFO	:	Epoch 70 | loss: 0.00168221 | val_loss: 0.00166534 | Time: 25426.6 ms
[2020-11-11 17:26:17	                main:574]	:	INFO	:	Epoch 71 | loss: 0.00160895 | val_loss: 0.00158841 | Time: 25449.2 ms
[2020-11-11 17:26:43	                main:574]	:	INFO	:	Epoch 72 | loss: 0.00153752 | val_loss: 0.00152105 | Time: 25550.5 ms
[2020-11-11 17:27:08	                main:574]	:	INFO	:	Epoch 73 | loss: 0.00146991 | val_loss: 0.00145139 | Time: 25450.7 ms
[2020-11-11 17:27:34	                main:574]	:	INFO	:	Epoch 74 | loss: 0.00140466 | val_loss: 0.00138775 | Time: 25412.4 ms
[2020-11-11 17:27:59	                main:574]	:	INFO	:	Epoch 75 | loss: 0.00134208 | val_loss: 0.00132853 | Time: 25485.9 ms
[2020-11-11 17:28:24	                main:574]	:	INFO	:	Epoch 76 | loss: 0.00128271 | val_loss: 0.00126632 | Time: 25338.3 ms
[2020-11-11 17:28:50	                main:574]	:	INFO	:	Epoch 77 | loss: 0.00122538 | val_loss: 0.00121133 | Time: 25278.3 ms
[2020-11-11 17:29:15	                main:574]	:	INFO	:	Epoch 78 | loss: 0.0011708 | val_loss: 0.00115327 | Time: 25137 ms
[2020-11-11 17:29:40	                main:574]	:	INFO	:	Epoch 79 | loss: 0.0011175 | val_loss: 0.00110415 | Time: 25120.5 ms
[2020-11-11 17:30:05	                main:574]	:	INFO	:	Epoch 80 | loss: 0.00106666 | val_loss: 0.00105494 | Time: 24651.2 ms
[2020-11-11 17:30:30	                main:574]	:	INFO	:	Epoch 81 | loss: 0.00101872 | val_loss: 0.00100783 | Time: 25050.8 ms
[2020-11-11 17:30:55	                main:574]	:	INFO	:	Epoch 82 | loss: 0.000973333 | val_loss: 0.000961155 | Time: 25620.2 ms
[2020-11-11 17:31:21	                main:574]	:	INFO	:	Epoch 83 | loss: 0.000929344 | val_loss: 0.000916533 | Time: 25322.1 ms
[2020-11-11 17:31:46	                main:574]	:	INFO	:	Epoch 84 | loss: 0.000886374 | val_loss: 0.000878706 | Time: 25261.3 ms
[2020-11-11 17:32:12	                main:574]	:	INFO	:	Epoch 85 | loss: 0.000846156 | val_loss: 0.000836826 | Time: 25488 ms
[2020-11-11 17:32:37	                main:574]	:	INFO	:	Epoch 86 | loss: 0.000807393 | val_loss: 0.000797263 | Time: 25296.2 ms
[2020-11-11 17:33:02	                main:574]	:	INFO	:	Epoch 87 | loss: 0.000770076 | val_loss: 0.000764119 | Time: 25288.5 ms
[2020-11-11 17:33:28	                main:574]	:	INFO	:	Epoch 88 | loss: 0.000735828 | val_loss: 0.000728736 | Time: 25519.6 ms
[2020-11-11 17:33:53	                main:574]	:	INFO	:	Epoch 89 | loss: 0.000701797 | val_loss: 0.000696326 | Time: 25425.5 ms
[2020-11-11 17:34:19	                main:574]	:	INFO	:	Epoch 90 | loss: 0.000671178 | val_loss: 0.000666562 | Time: 25476.7 ms
[2020-11-11 17:34:44	                main:574]	:	INFO	:	Epoch 91 | loss: 0.000640964 | val_loss: 0.000637916 | Time: 25066.6 ms
[2020-11-11 17:35:09	                main:574]	:	INFO	:	Epoch 92 | loss: 0.000612559 | val_loss: 0.000606213 | Time: 25357.2 ms
[2020-11-11 17:35:34	                main:574]	:	INFO	:	Epoch 93 | loss: 0.000585186 | val_loss: 0.000580728 | Time: 25284.7 ms
[2020-11-11 17:36:00	                main:574]	:	INFO	:	Epoch 94 | loss: 0.000559905 | val_loss: 0.000557457 | Time: 25655 ms
[2020-11-11 17:36:25	                main:574]	:	INFO	:	Epoch 95 | loss: 0.000535079 | val_loss: 0.000530165 | Time: 25305 ms
[2020-11-11 17:36:51	                main:574]	:	INFO	:	Epoch 96 | loss: 0.000512323 | val_loss: 0.000508765 | Time: 25565.3 ms
[2020-11-11 17:37:16	                main:574]	:	INFO	:	Epoch 97 | loss: 0.000490466 | val_loss: 0.000489153 | Time: 25102.1 ms
[2020-11-11 17:37:43	                main:574]	:	INFO	:	Epoch 98 | loss: 0.000469749 | val_loss: 0.000467794 | Time: 26892.6 ms
[2020-11-11 17:38:09	                main:574]	:	INFO	:	Epoch 99 | loss: 0.000450709 | val_loss: 0.000448498 | Time: 26402.7 ms
[2020-11-11 17:38:35	                main:574]	:	INFO	:	Epoch 100 | loss: 0.000431998 | val_loss: 0.000430325 | Time: 26033.3 ms
[2020-11-11 17:39:02	                main:574]	:	INFO	:	Epoch 101 | loss: 0.000414401 | val_loss: 0.000411344 | Time: 26550.9 ms
[2020-11-11 17:39:27	                main:574]	:	INFO	:	Epoch 102 | loss: 0.000397597 | val_loss: 0.000396439 | Time: 25415.9 ms
[2020-11-11 17:39:54	                main:574]	:	INFO	:	Epoch 103 | loss: 0.000381185 | val_loss: 0.000378552 | Time: 26313.4 ms
[2020-11-11 17:40:20	                main:574]	:	INFO	:	Epoch 104 | loss: 0.000365959 | val_loss: 0.000368095 | Time: 25720.4 ms
[2020-11-11 17:40:45	                main:574]	:	INFO	:	Epoch 105 | loss: 0.000352376 | val_loss: 0.000349092 | Time: 25211.5 ms
[2020-11-11 17:41:10	                main:574]	:	INFO	:	Epoch 106 | loss: 0.000338182 | val_loss: 0.00033677 | Time: 25507.1 ms
[2020-11-11 17:41:37	                main:574]	:	INFO	:	Epoch 107 | loss: 0.000326046 | val_loss: 0.000324286 | Time: 26240.1 ms
[2020-11-11 17:42:02	                main:574]	:	INFO	:	Epoch 108 | loss: 0.000313995 | val_loss: 0.000311695 | Time: 25361.2 ms
[2020-11-11 17:42:28	                main:574]	:	INFO	:	Epoch 109 | loss: 0.000302275 | val_loss: 0.000301221 | Time: 25799.6 ms
[2020-11-11 17:42:53	                main:574]	:	INFO	:	Epoch 110 | loss: 0.000291002 | val_loss: 0.000291331 | Time: 25370.3 ms
[2020-11-11 17:43:19	                main:574]	:	INFO	:	Epoch 111 | loss: 0.000280787 | val_loss: 0.00028088 | Time: 25614.8 ms
[2020-11-11 17:43:44	                main:574]	:	INFO	:	Epoch 112 | loss: 0.000270263 | val_loss: 0.000268957 | Time: 25425 ms
[2020-11-11 17:44:10	                main:574]	:	INFO	:	Epoch 113 | loss: 0.000261135 | val_loss: 0.000261489 | Time: 25570.7 ms
[2020-11-11 17:44:35	                main:574]	:	INFO	:	Epoch 114 | loss: 0.000252266 | val_loss: 0.00025205 | Time: 25539.3 ms
[2020-11-11 17:45:01	                main:574]	:	INFO	:	Epoch 115 | loss: 0.000243505 | val_loss: 0.000243497 | Time: 25378.2 ms
[2020-11-11 17:45:26	                main:574]	:	INFO	:	Epoch 116 | loss: 0.000236063 | val_loss: 0.000237492 | Time: 25292.6 ms
[2020-11-11 17:45:52	                main:574]	:	INFO	:	Epoch 117 | loss: 0.000227849 | val_loss: 0.000228934 | Time: 25905.7 ms
[2020-11-11 17:46:17	                main:574]	:	INFO	:	Epoch 118 | loss: 0.000220242 | val_loss: 0.000221893 | Time: 25431 ms
[2020-11-11 17:46:43	                main:574]	:	INFO	:	Epoch 119 | loss: 0.000213696 | val_loss: 0.000214481 | Time: 25567.7 ms
[2020-11-11 17:47:09	                main:574]	:	INFO	:	Epoch 120 | loss: 0.000207438 | val_loss: 0.000206385 | Time: 25490 ms
[2020-11-11 17:47:34	                main:574]	:	INFO	:	Epoch 121 | loss: 0.000200633 | val_loss: 0.000201237 | Time: 25522.9 ms
[2020-11-11 17:48:00	                main:574]	:	INFO	:	Epoch 122 | loss: 0.000194398 | val_loss: 0.000193953 | Time: 25715.5 ms
[2020-11-11 17:48:26	                main:574]	:	INFO	:	Epoch 123 | loss: 0.000188311 | val_loss: 0.000188859 | Time: 25976.5 ms
[2020-11-11 17:48:52	                main:574]	:	INFO	:	Epoch 124 | loss: 0.000183342 | val_loss: 0.000183075 | Time: 25749.4 ms
[2020-11-11 17:49:17	                main:574]	:	INFO	:	Epoch 125 | loss: 0.000177704 | val_loss: 0.000177831 | Time: 25903.7 ms
[2020-11-11 17:49:43	                main:574]	:	INFO	:	Epoch 126 | loss: 0.000174048 | val_loss: 0.000175718 | Time: 25548.9 ms
[2020-11-11 17:50:09	                main:574]	:	INFO	:	Epoch 127 | loss: 0.000168365 | val_loss: 0.00017032 | Time: 25889.6 ms
[2020-11-11 17:50:34	                main:574]	:	INFO	:	Epoch 128 | loss: 0.000163749 | val_loss: 0.000165139 | Time: 25507.4 ms
[2020-11-11 17:51:00	                main:574]	:	INFO	:	Epoch 129 | loss: 0.000160585 | val_loss: 0.000160014 | Time: 25769.9 ms
[2020-11-11 17:51:25	                main:574]	:	INFO	:	Epoch 130 | loss: 0.000155119 | val_loss: 0.000155621 | Time: 25141.7 ms
[2020-11-11 17:51:50	                main:574]	:	INFO	:	Epoch 131 | loss: 0.000152265 | val_loss: 0.000152131 | Time: 25080.1 ms
[2020-11-11 17:52:17	                main:574]	:	INFO	:	Epoch 132 | loss: 0.000147917 | val_loss: 0.000148351 | Time: 26779.9 ms
[2020-11-11 17:52:43	                main:574]	:	INFO	:	Epoch 133 | loss: 0.000144487 | val_loss: 0.000144912 | Time: 25562.9 ms
[2020-11-11 17:53:08	                main:574]	:	INFO	:	Epoch 134 | loss: 0.000140865 | val_loss: 0.000142357 | Time: 25336.6 ms
[2020-11-11 17:53:33	                main:574]	:	INFO	:	Epoch 135 | loss: 0.000137817 | val_loss: 0.000138854 | Time: 25100.2 ms
[2020-11-11 17:53:58	                main:574]	:	INFO	:	Epoch 136 | loss: 0.000134487 | val_loss: 0.000135242 | Time: 24803.8 ms
[2020-11-11 17:54:25	                main:574]	:	INFO	:	Epoch 137 | loss: 0.000131423 | val_loss: 0.000132206 | Time: 27275.8 ms
[2020-11-11 17:54:51	                main:574]	:	INFO	:	Epoch 138 | loss: 0.000128591 | val_loss: 0.000127735 | Time: 25654.4 ms
[2020-11-11 17:55:17	                main:574]	:	INFO	:	Epoch 139 | loss: 0.00012503 | val_loss: 0.000126224 | Time: 25508.2 ms
[2020-11-11 17:55:43	                main:574]	:	INFO	:	Epoch 140 | loss: 0.000122849 | val_loss: 0.000122419 | Time: 25887.5 ms
[2020-11-11 17:56:08	                main:574]	:	INFO	:	Epoch 141 | loss: 0.000120417 | val_loss: 0.000122225 | Time: 25303.7 ms
[2020-11-11 17:56:33	                main:574]	:	INFO	:	Epoch 142 | loss: 0.000117304 | val_loss: 0.000116676 | Time: 25151.2 ms
[2020-11-11 17:56:58	                main:574]	:	INFO	:	Epoch 143 | loss: 0.000115004 | val_loss: 0.000116159 | Time: 25194.3 ms
[2020-11-11 17:57:24	                main:574]	:	INFO	:	Epoch 144 | loss: 0.000113187 | val_loss: 0.000113839 | Time: 25356.6 ms
[2020-11-11 17:57:49	                main:574]	:	INFO	:	Epoch 145 | loss: 0.000110527 | val_loss: 0.000110724 | Time: 25083.5 ms
[2020-11-11 17:58:14	                main:574]	:	INFO	:	Epoch 146 | loss: 0.000108441 | val_loss: 0.000110301 | Time: 25354 ms
[2020-11-11 17:58:39	                main:574]	:	INFO	:	Epoch 147 | loss: 0.000106512 | val_loss: 0.000107022 | Time: 25320.1 ms
[2020-11-11 17:59:05	                main:574]	:	INFO	:	Epoch 148 | loss: 0.000104289 | val_loss: 0.000105931 | Time: 25250.8 ms
[2020-11-11 17:59:30	                main:574]	:	INFO	:	Epoch 149 | loss: 0.000102512 | val_loss: 0.000103427 | Time: 25097.8 ms
[2020-11-11 17:59:56	                main:574]	:	INFO	:	Epoch 150 | loss: 0.000100117 | val_loss: 0.00010066 | Time: 26192.1 ms
[2020-11-11 18:00:22	                main:574]	:	INFO	:	Epoch 151 | loss: 9.89043e-05 | val_loss: 9.90266e-05 | Time: 26438.3 ms
[2020-11-11 18:00:49	                main:574]	:	INFO	:	Epoch 152 | loss: 9.71974e-05 | val_loss: 9.76499e-05 | Time: 26449.7 ms
[2020-11-11 18:01:15	                main:574]	:	INFO	:	Epoch 153 | loss: 9.51243e-05 | val_loss: 9.45032e-05 | Time: 25820.2 ms
[2020-11-11 18:01:40	                main:574]	:	INFO	:	Epoch 154 | loss: 9.33121e-05 | val_loss: 9.36854e-05 | Time: 25382.5 ms
[2020-11-11 18:02:05	                main:574]	:	INFO	:	Epoch 155 | loss: 9.21166e-05 | val_loss: 9.38631e-05 | Time: 25220 ms
[2020-11-11 18:02:31	                main:574]	:	INFO	:	Epoch 156 | loss: 9.07637e-05 | val_loss: 9.09643e-05 | Time: 25535.4 ms
[2020-11-11 18:02:56	                main:574]	:	INFO	:	Epoch 157 | loss: 8.86056e-05 | val_loss: 8.8835e-05 | Time: 25427.7 ms
[2020-11-11 18:03:22	                main:574]	:	INFO	:	Epoch 158 | loss: 8.68478e-05 | val_loss: 8.8798e-05 | Time: 25431.3 ms
[2020-11-11 18:03:47	                main:574]	:	INFO	:	Epoch 159 | loss: 8.59288e-05 | val_loss: 8.67818e-05 | Time: 25399.3 ms
[2020-11-11 18:04:13	                main:574]	:	INFO	:	Epoch 160 | loss: 8.47129e-05 | val_loss: 8.51208e-05 | Time: 25542.8 ms
[2020-11-11 18:04:38	                main:574]	:	INFO	:	Epoch 161 | loss: 8.31594e-05 | val_loss: 8.31504e-05 | Time: 25427.2 ms
[2020-11-11 18:05:04	                main:574]	:	INFO	:	Epoch 162 | loss: 8.1667e-05 | val_loss: 8.19555e-05 | Time: 25441.8 ms
[2020-11-11 18:05:29	                main:574]	:	INFO	:	Epoch 163 | loss: 8.05962e-05 | val_loss: 8.19783e-05 | Time: 25544.2 ms
[2020-11-11 18:05:55	                main:574]	:	INFO	:	Epoch 164 | loss: 7.91864e-05 | val_loss: 7.92431e-05 | Time: 25483.7 ms
[2020-11-11 18:06:20	                main:574]	:	INFO	:	Epoch 165 | loss: 7.79432e-05 | val_loss: 7.80174e-05 | Time: 25413.5 ms
[2020-11-11 18:06:46	                main:574]	:	INFO	:	Epoch 166 | loss: 7.74691e-05 | val_loss: 7.7805e-05 | Time: 25588.5 ms
[2020-11-11 18:07:12	                main:574]	:	INFO	:	Epoch 167 | loss: 7.59605e-05 | val_loss: 7.86608e-05 | Time: 25691.4 ms
[2020-11-11 18:07:37	                main:574]	:	INFO	:	Epoch 168 | loss: 7.49654e-05 | val_loss: 7.50041e-05 | Time: 25519.7 ms
[2020-11-11 18:08:03	                main:574]	:	INFO	:	Epoch 169 | loss: 7.42055e-05 | val_loss: 7.41344e-05 | Time: 25691.8 ms
[2020-11-11 18:08:28	                main:574]	:	INFO	:	Epoch 170 | loss: 7.30962e-05 | val_loss: 7.42799e-05 | Time: 25460.2 ms
[2020-11-11 18:08:54	                main:574]	:	INFO	:	Epoch 171 | loss: 7.20621e-05 | val_loss: 7.14872e-05 | Time: 25344.3 ms
[2020-11-11 18:09:19	                main:574]	:	INFO	:	Epoch 172 | loss: 7.08965e-05 | val_loss: 7.13469e-05 | Time: 25337.3 ms
[2020-11-11 18:09:44	                main:574]	:	INFO	:	Epoch 173 | loss: 6.9822e-05 | val_loss: 6.98311e-05 | Time: 25331.6 ms
[2020-11-11 18:10:10	                main:574]	:	INFO	:	Epoch 174 | loss: 6.89082e-05 | val_loss: 7.02232e-05 | Time: 25404.6 ms
[2020-11-11 18:10:35	                main:574]	:	INFO	:	Epoch 175 | loss: 6.7826e-05 | val_loss: 6.78209e-05 | Time: 25588.6 ms
[2020-11-11 18:11:01	                main:574]	:	INFO	:	Epoch 176 | loss: 6.73003e-05 | val_loss: 6.78261e-05 | Time: 25817.8 ms
[2020-11-11 18:11:26	                main:574]	:	INFO	:	Epoch 177 | loss: 6.63554e-05 | val_loss: 6.81723e-05 | Time: 25257.1 ms
[2020-11-11 18:11:52	                main:574]	:	INFO	:	Epoch 178 | loss: 6.57388e-05 | val_loss: 6.8029e-05 | Time: 25696.5 ms
[2020-11-11 18:12:18	                main:574]	:	INFO	:	Epoch 179 | loss: 6.49874e-05 | val_loss: 6.53056e-05 | Time: 25422.4 ms
[2020-11-11 18:12:43	                main:574]	:	INFO	:	Epoch 180 | loss: 6.38237e-05 | val_loss: 6.4041e-05 | Time: 25537.8 ms
[2020-11-11 18:13:09	                main:574]	:	INFO	:	Epoch 181 | loss: 6.35156e-05 | val_loss: 6.35442e-05 | Time: 25585.1 ms
[2020-11-11 18:13:34	                main:574]	:	INFO	:	Epoch 182 | loss: 6.22401e-05 | val_loss: 6.29904e-05 | Time: 25467.2 ms
[2020-11-11 18:14:00	                main:574]	:	INFO	:	Epoch 183 | loss: 6.20347e-05 | val_loss: 6.29071e-05 | Time: 25355.2 ms
[2020-11-11 18:14:25	                main:574]	:	INFO	:	Epoch 184 | loss: 6.12986e-05 | val_loss: 6.27889e-05 | Time: 25237.1 ms
[2020-11-11 18:14:50	                main:574]	:	INFO	:	Epoch 185 | loss: 6.04441e-05 | val_loss: 6.15972e-05 | Time: 25434.8 ms
[2020-11-11 18:15:16	                main:574]	:	INFO	:	Epoch 186 | loss: 5.981e-05 | val_loss: 6.01656e-05 | Time: 25398.2 ms
[2020-11-11 18:15:41	                main:574]	:	INFO	:	Epoch 187 | loss: 5.95368e-05 | val_loss: 5.98636e-05 | Time: 25451.1 ms
[2020-11-11 18:16:07	                main:574]	:	INFO	:	Epoch 188 | loss: 5.85528e-05 | val_loss: 5.85682e-05 | Time: 25542.5 ms
[2020-11-11 18:16:32	                main:574]	:	INFO	:	Epoch 189 | loss: 5.77658e-05 | val_loss: 5.96604e-05 | Time: 25602.8 ms
[2020-11-11 18:16:58	                main:574]	:	INFO	:	Epoch 190 | loss: 5.72057e-05 | val_loss: 5.83182e-05 | Time: 25741 ms
[2020-11-11 18:17:24	                main:574]	:	INFO	:	Epoch 191 | loss: 5.68625e-05 | val_loss: 6.06248e-05 | Time: 25573.8 ms
[2020-11-11 18:17:49	                main:574]	:	INFO	:	Epoch 192 | loss: 5.56835e-05 | val_loss: 5.63022e-05 | Time: 25716 ms
[2020-11-11 18:17:49	                main:597]	:	INFO	:	Saving trained model to model-final.pt, val_loss 5.63022e-05
[2020-11-11 18:17:50	                main:603]	:	INFO	:	Saving end state to config to file
[2020-11-11 18:17:50	                main:608]	:	INFO	:	Success, exiting..
18:17:50 (2936): 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)