Task 2940491

Name rand_automata_0083-1605424773-2026-0_1
Workunit 1326026
Created 15 Nov 2020, 7:19:35 UTC
Sent 17 Nov 2020, 11:02:58 UTC
Report deadline 25 Nov 2020, 11:02:58 UTC
Received 19 Nov 2020, 11:28:32 UTC
Server state Over
Outcome Success
Client state Done
Exit status 0 (0x00000000)
Computer ID 3097
Run time 19 min 9 sec
CPU time 18 min 24 sec
Validate state Valid
Credit 959.40
Device peak FLOPS 1,641.98 GFLOPS
Application version Machine Learning Dataset Generator (GPU) v9.75 (cuda10200)
windows_x86_64
Peak working set size 1.41 GB
Peak swap size 3.00 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 GTX 750 Ti)
[2020-11-19 06:09:22	                main:435]	:	INFO	:	Set logging level to 1
[2020-11-19 06:09:22	                main:441]	:	INFO	:	Running in BOINC Client mode
[2020-11-19 06:09:22	                main:444]	:	INFO	:	Resolving all filenames
[2020-11-19 06:09:22	                main:452]	:	INFO	:	Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0083-train-val-dataset.hdf5 (exists = 1)
[2020-11-19 06:09:22	                main:452]	:	INFO	:	Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0083-1605424773-2026-0_1_r1580072639_1 (exists = 0)
[2020-11-19 06:09:22	                main:452]	:	INFO	:	Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0083-1605424773-2026-0_1_r1580072639_0 (exists = 0)
[2020-11-19 06:09:22	                main:452]	:	INFO	:	Resolved: model-input.pt => model-input.pt (exists = 0)
[2020-11-19 06:09:22	                main:452]	:	INFO	:	Resolved: snapshot.pt => snapshot.pt (exists = 0)
[2020-11-19 06:09:22	                main:472]	:	INFO	:	Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0083-train-val-dataset.hdf5
[2020-11-19 06:09:22	                main:474]	:	INFO	:	Configuration: 
[2020-11-19 06:09:22	                main:475]	:	INFO	:	    Model type: LSTM
[2020-11-19 06:09:23	                main:476]	:	INFO	:	    Validation Loss Threshold: 0.0001
[2020-11-19 06:09:23	                main:477]	:	INFO	:	    Max Epochs: 192
[2020-11-19 06:09:23	                main:478]	:	INFO	:	    Batch Size: 32
[2020-11-19 06:09:23	                main:479]	:	INFO	:	    Learning Rate: 0.001
[2020-11-19 06:09:23	                main:480]	:	INFO	:	    Patience: 10
[2020-11-19 06:09:23	                main:481]	:	INFO	:	    Hidden Width: 64
[2020-11-19 06:09:23	                main:482]	:	INFO	:	    # Recurrent Layers: 4
[2020-11-19 06:09:23	                main:483]	:	INFO	:	    # Backend Layers: 2
[2020-11-19 06:09:23	                main:484]	:	INFO	:	    # Threads: 1
[2020-11-19 06:09:23	                main:486]	:	INFO	:	Preparing Dataset
[2020-11-19 06:09:23	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0083-train-val-dataset.hdf5 into memory
[2020-11-19 06:09:23	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0083-train-val-dataset.hdf5 into memory
[2020-11-19 06:09:26	                load:106]	:	INFO	:	Successfully loaded dataset of 4096 examples into memory.
[2020-11-19 06:09:26	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0083-train-val-dataset.hdf5 into memory
[2020-11-19 06:09:26	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0083-train-val-dataset.hdf5 into memory
[2020-11-19 06:09:26	                load:106]	:	INFO	:	Successfully loaded dataset of 512 examples into memory.
[2020-11-19 06:09:26	                main:494]	:	INFO	:	Creating Model
[2020-11-19 06:09:26	                main:507]	:	INFO	:	Preparing config file
[2020-11-19 06:09:26	                main:519]	:	INFO	:	Creating new config file
[2020-11-19 06:09:27	                main:559]	:	INFO	:	Loading DataLoader into Memory
[2020-11-19 06:09:33	                main:562]	:	INFO	:	Starting Training
[2020-11-19 06:09:40	                main:574]	:	INFO	:	Epoch 1 | loss: 0.0663752 | val_loss: 0.0659988 | Time: 6279.03 ms
[2020-11-19 06:09:46	                main:574]	:	INFO	:	Epoch 2 | loss: 0.065255 | val_loss: 0.0637511 | Time: 5860.01 ms
[2020-11-19 06:09:52	                main:574]	:	INFO	:	Epoch 3 | loss: 0.0617759 | val_loss: 0.0598552 | Time: 5897.62 ms
[2020-11-19 06:09:57	                main:574]	:	INFO	:	Epoch 4 | loss: 0.0581201 | val_loss: 0.0568954 | Time: 5865.85 ms
[2020-11-19 06:10:03	                main:574]	:	INFO	:	Epoch 5 | loss: 0.055482 | val_loss: 0.0546031 | Time: 5852.55 ms
[2020-11-19 06:10:09	                main:574]	:	INFO	:	Epoch 6 | loss: 0.0534335 | val_loss: 0.0527505 | Time: 5850.37 ms
[2020-11-19 06:10:15	                main:574]	:	INFO	:	Epoch 7 | loss: 0.0518019 | val_loss: 0.0513389 | Time: 5863.37 ms
[2020-11-19 06:10:21	                main:574]	:	INFO	:	Epoch 8 | loss: 0.0502811 | val_loss: 0.0498621 | Time: 5896.7 ms
[2020-11-19 06:10:27	                main:574]	:	INFO	:	Epoch 9 | loss: 0.0487328 | val_loss: 0.0483844 | Time: 5716.22 ms
[2020-11-19 06:10:33	                main:574]	:	INFO	:	Epoch 10 | loss: 0.0471748 | val_loss: 0.0466852 | Time: 5659.28 ms
[2020-11-19 06:10:38	                main:574]	:	INFO	:	Epoch 11 | loss: 0.0453551 | val_loss: 0.0448218 | Time: 5674.15 ms
[2020-11-19 06:10:44	                main:574]	:	INFO	:	Epoch 12 | loss: 0.0433408 | val_loss: 0.0427889 | Time: 5719.32 ms
[2020-11-19 06:10:50	                main:574]	:	INFO	:	Epoch 13 | loss: 0.0409151 | val_loss: 0.0406246 | Time: 5665.46 ms
[2020-11-19 06:10:56	                main:574]	:	INFO	:	Epoch 14 | loss: 0.0382136 | val_loss: 0.0380999 | Time: 5676.16 ms
[2020-11-19 06:11:01	                main:574]	:	INFO	:	Epoch 15 | loss: 0.0351439 | val_loss: 0.0343539 | Time: 5648.81 ms
[2020-11-19 06:11:07	                main:574]	:	INFO	:	Epoch 16 | loss: 0.0315971 | val_loss: 0.0319338 | Time: 5720.66 ms
[2020-11-19 06:11:13	                main:574]	:	INFO	:	Epoch 17 | loss: 0.0282035 | val_loss: 0.0287139 | Time: 5627.84 ms
[2020-11-19 06:11:18	                main:574]	:	INFO	:	Epoch 18 | loss: 0.0265797 | val_loss: 0.0245646 | Time: 5637.28 ms
[2020-11-19 06:11:24	                main:574]	:	INFO	:	Epoch 19 | loss: 0.0234443 | val_loss: 0.0208118 | Time: 5622.91 ms
[2020-11-19 06:11:30	                main:574]	:	INFO	:	Epoch 20 | loss: 0.0185525 | val_loss: 0.0170344 | Time: 5632.91 ms
[2020-11-19 06:11:35	                main:574]	:	INFO	:	Epoch 21 | loss: 0.0281867 | val_loss: 0.0211549 | Time: 5612.64 ms
[2020-11-19 06:11:41	                main:574]	:	INFO	:	Epoch 22 | loss: 0.0183277 | val_loss: 0.0150617 | Time: 5626.93 ms
[2020-11-19 06:11:47	                main:574]	:	INFO	:	Epoch 23 | loss: 0.0155302 | val_loss: 0.0132058 | Time: 5616.06 ms
[2020-11-19 06:11:53	                main:574]	:	INFO	:	Epoch 24 | loss: 0.0122332 | val_loss: 0.0112009 | Time: 5634.64 ms
[2020-11-19 06:11:58	                main:574]	:	INFO	:	Epoch 25 | loss: 0.0100792 | val_loss: 0.0117083 | Time: 5620.26 ms
[2020-11-19 06:12:04	                main:574]	:	INFO	:	Epoch 26 | loss: 0.00936139 | val_loss: 0.00940618 | Time: 5617.78 ms
[2020-11-19 06:12:10	                main:574]	:	INFO	:	Epoch 27 | loss: 0.00835379 | val_loss: 0.00870397 | Time: 5612.97 ms
[2020-11-19 06:12:15	                main:574]	:	INFO	:	Epoch 28 | loss: 0.00791491 | val_loss: 0.00909632 | Time: 5617.92 ms
[2020-11-19 06:12:21	                main:574]	:	INFO	:	Epoch 29 | loss: 0.00749775 | val_loss: 0.00777713 | Time: 5677.06 ms
[2020-11-19 06:12:27	                main:574]	:	INFO	:	Epoch 30 | loss: 0.00698762 | val_loss: 0.00731623 | Time: 5656.8 ms
[2020-11-19 06:12:32	                main:574]	:	INFO	:	Epoch 31 | loss: 0.00662455 | val_loss: 0.00694756 | Time: 5329.94 ms
[2020-11-19 06:12:38	                main:574]	:	INFO	:	Epoch 32 | loss: 0.00631404 | val_loss: 0.00655919 | Time: 5654.94 ms
[2020-11-19 06:12:44	                main:574]	:	INFO	:	Epoch 33 | loss: 0.00604922 | val_loss: 0.00617224 | Time: 5674.18 ms
[2020-11-19 06:12:49	                main:574]	:	INFO	:	Epoch 34 | loss: 0.00573303 | val_loss: 0.0058563 | Time: 5667.44 ms
[2020-11-19 06:12:55	                main:574]	:	INFO	:	Epoch 35 | loss: 0.00546057 | val_loss: 0.00560521 | Time: 5719.29 ms
[2020-11-19 06:13:01	                main:574]	:	INFO	:	Epoch 36 | loss: 0.00520258 | val_loss: 0.00527427 | Time: 6003.69 ms
[2020-11-19 06:13:07	                main:574]	:	INFO	:	Epoch 37 | loss: 0.00494543 | val_loss: 0.005021 | Time: 5848.2 ms
[2020-11-19 06:13:13	                main:574]	:	INFO	:	Epoch 38 | loss: 0.00471052 | val_loss: 0.00476682 | Time: 5744.95 ms
[2020-11-19 06:13:18	                main:574]	:	INFO	:	Epoch 39 | loss: 0.0044828 | val_loss: 0.00453403 | Time: 5611.7 ms
[2020-11-19 06:13:24	                main:574]	:	INFO	:	Epoch 40 | loss: 0.00426459 | val_loss: 0.0042887 | Time: 5643.36 ms
[2020-11-19 06:13:30	                main:574]	:	INFO	:	Epoch 41 | loss: 0.0040563 | val_loss: 0.004079 | Time: 5747.89 ms
[2020-11-19 06:13:36	                main:574]	:	INFO	:	Epoch 42 | loss: 0.00385625 | val_loss: 0.00385862 | Time: 5801.58 ms
[2020-11-19 06:13:42	                main:574]	:	INFO	:	Epoch 43 | loss: 0.00366283 | val_loss: 0.00366078 | Time: 5857.92 ms
[2020-11-19 06:13:47	                main:574]	:	INFO	:	Epoch 44 | loss: 0.00347724 | val_loss: 0.0034727 | Time: 5609.01 ms
[2020-11-19 06:13:53	                main:574]	:	INFO	:	Epoch 45 | loss: 0.00330208 | val_loss: 0.00329918 | Time: 5612.22 ms
[2020-11-19 06:13:59	                main:574]	:	INFO	:	Epoch 46 | loss: 0.0031319 | val_loss: 0.00311794 | Time: 5673.88 ms
[2020-11-19 06:14:05	                main:574]	:	INFO	:	Epoch 47 | loss: 0.00296988 | val_loss: 0.00296028 | Time: 5711.93 ms
[2020-11-19 06:14:10	                main:574]	:	INFO	:	Epoch 48 | loss: 0.00281644 | val_loss: 0.00280142 | Time: 5672.24 ms
[2020-11-19 06:14:16	                main:574]	:	INFO	:	Epoch 49 | loss: 0.00266778 | val_loss: 0.00265859 | Time: 5673.64 ms
[2020-11-19 06:14:22	                main:574]	:	INFO	:	Epoch 50 | loss: 0.00252746 | val_loss: 0.00251534 | Time: 5705.32 ms
[2020-11-19 06:14:28	                main:574]	:	INFO	:	Epoch 51 | loss: 0.00239398 | val_loss: 0.00238055 | Time: 5708.13 ms
[2020-11-19 06:14:33	                main:574]	:	INFO	:	Epoch 52 | loss: 0.00226749 | val_loss: 0.00225409 | Time: 5674.99 ms
[2020-11-19 06:14:39	                main:574]	:	INFO	:	Epoch 53 | loss: 0.00214699 | val_loss: 0.00213029 | Time: 5727.38 ms
[2020-11-19 06:14:45	                main:574]	:	INFO	:	Epoch 54 | loss: 0.00203268 | val_loss: 0.00201857 | Time: 5687.71 ms
[2020-11-19 06:14:50	                main:574]	:	INFO	:	Epoch 55 | loss: 0.00192544 | val_loss: 0.00191298 | Time: 5639.41 ms
[2020-11-19 06:14:56	                main:574]	:	INFO	:	Epoch 56 | loss: 0.00182233 | val_loss: 0.00180886 | Time: 5633.97 ms
[2020-11-19 06:15:02	                main:574]	:	INFO	:	Epoch 57 | loss: 0.00172544 | val_loss: 0.00171287 | Time: 5650.74 ms
[2020-11-19 06:15:08	                main:574]	:	INFO	:	Epoch 58 | loss: 0.00163392 | val_loss: 0.0016238 | Time: 5634.52 ms
[2020-11-19 06:15:13	                main:574]	:	INFO	:	Epoch 59 | loss: 0.00154751 | val_loss: 0.00153531 | Time: 5644.58 ms
[2020-11-19 06:15:19	                main:574]	:	INFO	:	Epoch 60 | loss: 0.00146351 | val_loss: 0.0014511 | Time: 5653.87 ms
[2020-11-19 06:15:25	                main:574]	:	INFO	:	Epoch 61 | loss: 0.00138477 | val_loss: 0.00137465 | Time: 5752.56 ms
[2020-11-19 06:15:31	                main:574]	:	INFO	:	Epoch 62 | loss: 0.00131014 | val_loss: 0.00129735 | Time: 5861.82 ms
[2020-11-19 06:15:37	                main:574]	:	INFO	:	Epoch 63 | loss: 0.00123903 | val_loss: 0.00122815 | Time: 5869.28 ms
[2020-11-19 06:15:42	                main:574]	:	INFO	:	Epoch 64 | loss: 0.00117153 | val_loss: 0.00115982 | Time: 5578.85 ms
[2020-11-19 06:15:48	                main:574]	:	INFO	:	Epoch 65 | loss: 0.00110748 | val_loss: 0.0010978 | Time: 5656.78 ms
[2020-11-19 06:15:53	                main:574]	:	INFO	:	Epoch 66 | loss: 0.00104752 | val_loss: 0.00103786 | Time: 5426.17 ms
[2020-11-19 06:15:59	                main:574]	:	INFO	:	Epoch 67 | loss: 0.000990361 | val_loss: 0.00098174 | Time: 5472.11 ms
[2020-11-19 06:16:05	                main:574]	:	INFO	:	Epoch 68 | loss: 0.000936315 | val_loss: 0.000926823 | Time: 5710.2 ms
[2020-11-19 06:16:10	                main:574]	:	INFO	:	Epoch 69 | loss: 0.000886141 | val_loss: 0.000878342 | Time: 5694.05 ms
[2020-11-19 06:16:16	                main:574]	:	INFO	:	Epoch 70 | loss: 0.000837878 | val_loss: 0.000830947 | Time: 5683.72 ms
[2020-11-19 06:16:22	                main:574]	:	INFO	:	Epoch 71 | loss: 0.000793612 | val_loss: 0.000787983 | Time: 5706.9 ms
[2020-11-19 06:16:28	                main:574]	:	INFO	:	Epoch 72 | loss: 0.000750866 | val_loss: 0.000746781 | Time: 5646.25 ms
[2020-11-19 06:16:33	                main:574]	:	INFO	:	Epoch 73 | loss: 0.000711314 | val_loss: 0.000704559 | Time: 5640.15 ms
[2020-11-19 06:16:39	                main:574]	:	INFO	:	Epoch 74 | loss: 0.000674515 | val_loss: 0.000672611 | Time: 5643.04 ms
[2020-11-19 06:16:45	                main:574]	:	INFO	:	Epoch 75 | loss: 0.000637604 | val_loss: 0.000633847 | Time: 5630.83 ms
[2020-11-19 06:16:50	                main:574]	:	INFO	:	Epoch 76 | loss: 0.000604758 | val_loss: 0.000600769 | Time: 5635.23 ms
[2020-11-19 06:16:56	                main:574]	:	INFO	:	Epoch 77 | loss: 0.000572861 | val_loss: 0.00056945 | Time: 5620.67 ms
[2020-11-19 06:17:02	                main:574]	:	INFO	:	Epoch 78 | loss: 0.000543929 | val_loss: 0.000538622 | Time: 5638.94 ms
[2020-11-19 06:17:08	                main:574]	:	INFO	:	Epoch 79 | loss: 0.000514658 | val_loss: 0.000510912 | Time: 5665.17 ms
[2020-11-19 06:17:14	                main:574]	:	INFO	:	Epoch 80 | loss: 0.000488541 | val_loss: 0.000487516 | Time: 5871.8 ms
[2020-11-19 06:17:20	                main:574]	:	INFO	:	Epoch 81 | loss: 0.000463368 | val_loss: 0.000462084 | Time: 5953.79 ms
[2020-11-19 06:17:25	                main:574]	:	INFO	:	Epoch 82 | loss: 0.000440421 | val_loss: 0.000439342 | Time: 5352.35 ms
[2020-11-19 06:17:30	                main:574]	:	INFO	:	Epoch 83 | loss: 0.000417804 | val_loss: 0.000415948 | Time: 5267.71 ms
[2020-11-19 06:17:35	                main:574]	:	INFO	:	Epoch 84 | loss: 0.000397058 | val_loss: 0.000399043 | Time: 5202.97 ms
[2020-11-19 06:17:41	                main:574]	:	INFO	:	Epoch 85 | loss: 0.000377123 | val_loss: 0.000375657 | Time: 5592.47 ms
[2020-11-19 06:17:47	                main:574]	:	INFO	:	Epoch 86 | loss: 0.000358091 | val_loss: 0.000356797 | Time: 5638.03 ms
[2020-11-19 06:17:53	                main:574]	:	INFO	:	Epoch 87 | loss: 0.000340635 | val_loss: 0.000340814 | Time: 5627.32 ms
[2020-11-19 06:17:58	                main:574]	:	INFO	:	Epoch 88 | loss: 0.000324703 | val_loss: 0.000323232 | Time: 5636.04 ms
[2020-11-19 06:18:04	                main:574]	:	INFO	:	Epoch 89 | loss: 0.000308263 | val_loss: 0.000307421 | Time: 5637.76 ms
[2020-11-19 06:18:10	                main:574]	:	INFO	:	Epoch 90 | loss: 0.000293507 | val_loss: 0.000293627 | Time: 5705.97 ms
[2020-11-19 06:18:15	                main:574]	:	INFO	:	Epoch 91 | loss: 0.000279826 | val_loss: 0.000281209 | Time: 5645.41 ms
[2020-11-19 06:18:21	                main:574]	:	INFO	:	Epoch 92 | loss: 0.000266824 | val_loss: 0.000266772 | Time: 5695.96 ms
[2020-11-19 06:18:27	                main:574]	:	INFO	:	Epoch 93 | loss: 0.000254693 | val_loss: 0.000254977 | Time: 5685.65 ms
[2020-11-19 06:18:33	                main:574]	:	INFO	:	Epoch 94 | loss: 0.000242191 | val_loss: 0.000242717 | Time: 5672.33 ms
[2020-11-19 06:18:39	                main:574]	:	INFO	:	Epoch 95 | loss: 0.000231087 | val_loss: 0.000230547 | Time: 6006.93 ms
[2020-11-19 06:18:45	                main:574]	:	INFO	:	Epoch 96 | loss: 0.000220638 | val_loss: 0.000222839 | Time: 5902.16 ms
[2020-11-19 06:18:51	                main:574]	:	INFO	:	Epoch 97 | loss: 0.000210886 | val_loss: 0.000211441 | Time: 5888.79 ms
[2020-11-19 06:18:57	                main:574]	:	INFO	:	Epoch 98 | loss: 0.000201402 | val_loss: 0.000200965 | Time: 5888.64 ms
[2020-11-19 06:19:02	                main:574]	:	INFO	:	Epoch 99 | loss: 0.000192483 | val_loss: 0.000192371 | Time: 5809.65 ms
[2020-11-19 06:19:08	                main:574]	:	INFO	:	Epoch 100 | loss: 0.000184167 | val_loss: 0.000182987 | Time: 5641.35 ms
[2020-11-19 06:19:14	                main:574]	:	INFO	:	Epoch 101 | loss: 0.000177105 | val_loss: 0.000177828 | Time: 5525.02 ms
[2020-11-19 06:19:19	                main:574]	:	INFO	:	Epoch 102 | loss: 0.000169133 | val_loss: 0.000171267 | Time: 5638.58 ms
[2020-11-19 06:19:25	                main:574]	:	INFO	:	Epoch 103 | loss: 0.000162292 | val_loss: 0.000160978 | Time: 5859.82 ms
[2020-11-19 06:19:31	                main:574]	:	INFO	:	Epoch 104 | loss: 0.000156033 | val_loss: 0.000153902 | Time: 5888.32 ms
[2020-11-19 06:19:37	                main:574]	:	INFO	:	Epoch 105 | loss: 0.000149401 | val_loss: 0.000152484 | Time: 5768 ms
[2020-11-19 06:19:43	                main:574]	:	INFO	:	Epoch 106 | loss: 0.000144541 | val_loss: 0.000145787 | Time: 5807.21 ms
[2020-11-19 06:19:49	                main:574]	:	INFO	:	Epoch 107 | loss: 0.000138126 | val_loss: 0.000137368 | Time: 5853.7 ms
[2020-11-19 06:19:55	                main:574]	:	INFO	:	Epoch 108 | loss: 0.000133133 | val_loss: 0.000132242 | Time: 5826.05 ms
[2020-11-19 06:20:00	                main:574]	:	INFO	:	Epoch 109 | loss: 0.000129227 | val_loss: 0.000129743 | Time: 5620.25 ms
[2020-11-19 06:20:06	                main:574]	:	INFO	:	Epoch 110 | loss: 0.000124041 | val_loss: 0.000122879 | Time: 5647.37 ms
[2020-11-19 06:20:12	                main:574]	:	INFO	:	Epoch 111 | loss: 0.000119333 | val_loss: 0.000120526 | Time: 5638.42 ms
[2020-11-19 06:20:18	                main:574]	:	INFO	:	Epoch 112 | loss: 0.000114692 | val_loss: 0.000115463 | Time: 5705.8 ms
[2020-11-19 06:20:24	                main:574]	:	INFO	:	Epoch 113 | loss: 0.000110692 | val_loss: 0.000111156 | Time: 5783.92 ms
[2020-11-19 06:20:29	                main:574]	:	INFO	:	Epoch 114 | loss: 0.000107186 | val_loss: 0.000108352 | Time: 5876.95 ms
[2020-11-19 06:20:35	                main:574]	:	INFO	:	Epoch 115 | loss: 0.000103975 | val_loss: 0.000104028 | Time: 5845.45 ms
[2020-11-19 06:20:41	                main:574]	:	INFO	:	Epoch 116 | loss: 0.00010085 | val_loss: 0.000103664 | Time: 5890.61 ms
[2020-11-19 06:20:47	                main:574]	:	INFO	:	Epoch 117 | loss: 9.75757e-05 | val_loss: 9.99403e-05 | Time: 5977.04 ms
[2020-11-19 06:20:53	                main:574]	:	INFO	:	Epoch 118 | loss: 9.45389e-05 | val_loss: 9.52006e-05 | Time: 5962.18 ms
[2020-11-19 06:20:59	                main:574]	:	INFO	:	Epoch 119 | loss: 9.14218e-05 | val_loss: 9.08491e-05 | Time: 5850.95 ms
[2020-11-19 06:21:05	                main:574]	:	INFO	:	Epoch 120 | loss: 8.87327e-05 | val_loss: 8.90256e-05 | Time: 5685.32 ms
[2020-11-19 06:21:11	                main:574]	:	INFO	:	Epoch 121 | loss: 8.62437e-05 | val_loss: 8.6429e-05 | Time: 5669.4 ms
[2020-11-19 06:21:16	                main:574]	:	INFO	:	Epoch 122 | loss: 8.38733e-05 | val_loss: 8.47233e-05 | Time: 5682.84 ms
[2020-11-19 06:21:22	                main:574]	:	INFO	:	Epoch 123 | loss: 8.21734e-05 | val_loss: 8.7649e-05 | Time: 5561.75 ms
[2020-11-19 06:21:27	                main:574]	:	INFO	:	Epoch 124 | loss: 7.93387e-05 | val_loss: 7.99331e-05 | Time: 5330.14 ms
[2020-11-19 06:21:33	                main:574]	:	INFO	:	Epoch 125 | loss: 7.63102e-05 | val_loss: 7.72544e-05 | Time: 5702.47 ms
[2020-11-19 06:21:39	                main:574]	:	INFO	:	Epoch 126 | loss: 7.41585e-05 | val_loss: 7.69786e-05 | Time: 5700.05 ms
[2020-11-19 06:21:45	                main:574]	:	INFO	:	Epoch 127 | loss: 7.29113e-05 | val_loss: 7.55938e-05 | Time: 5690.27 ms
[2020-11-19 06:21:50	                main:574]	:	INFO	:	Epoch 128 | loss: 7.10035e-05 | val_loss: 7.1179e-05 | Time: 5645.34 ms
[2020-11-19 06:21:56	                main:574]	:	INFO	:	Epoch 129 | loss: 6.85944e-05 | val_loss: 7.01798e-05 | Time: 5648.96 ms
[2020-11-19 06:22:02	                main:574]	:	INFO	:	Epoch 130 | loss: 6.73274e-05 | val_loss: 6.8829e-05 | Time: 5635.31 ms
[2020-11-19 06:22:07	                main:574]	:	INFO	:	Epoch 131 | loss: 6.55026e-05 | val_loss: 6.67681e-05 | Time: 5622.88 ms
[2020-11-19 06:22:13	                main:574]	:	INFO	:	Epoch 132 | loss: 6.34649e-05 | val_loss: 6.76353e-05 | Time: 5672.35 ms
[2020-11-19 06:22:19	                main:574]	:	INFO	:	Epoch 133 | loss: 6.20383e-05 | val_loss: 6.13183e-05 | Time: 5667.84 ms
[2020-11-19 06:22:25	                main:574]	:	INFO	:	Epoch 134 | loss: 6.03641e-05 | val_loss: 6.11616e-05 | Time: 5657.49 ms
[2020-11-19 06:22:30	                main:574]	:	INFO	:	Epoch 135 | loss: 5.87074e-05 | val_loss: 5.90436e-05 | Time: 5647.6 ms
[2020-11-19 06:22:36	                main:574]	:	INFO	:	Epoch 136 | loss: 5.75122e-05 | val_loss: 5.89181e-05 | Time: 5618.83 ms
[2020-11-19 06:22:42	                main:574]	:	INFO	:	Epoch 137 | loss: 5.67159e-05 | val_loss: 5.79257e-05 | Time: 5637.41 ms
[2020-11-19 06:22:48	                main:574]	:	INFO	:	Epoch 138 | loss: 5.5328e-05 | val_loss: 5.73988e-05 | Time: 5745.84 ms
[2020-11-19 06:22:54	                main:574]	:	INFO	:	Epoch 139 | loss: 5.38895e-05 | val_loss: 5.51059e-05 | Time: 5968.42 ms
[2020-11-19 06:22:59	                main:574]	:	INFO	:	Epoch 140 | loss: 5.37163e-05 | val_loss: 5.31888e-05 | Time: 5914.36 ms
[2020-11-19 06:23:06	                main:574]	:	INFO	:	Epoch 141 | loss: 5.09697e-05 | val_loss: 5.23405e-05 | Time: 6014.33 ms
[2020-11-19 06:23:12	                main:574]	:	INFO	:	Epoch 142 | loss: 4.96431e-05 | val_loss: 5.16995e-05 | Time: 6033.81 ms
[2020-11-19 06:23:18	                main:574]	:	INFO	:	Epoch 143 | loss: 4.90087e-05 | val_loss: 5.02674e-05 | Time: 6099.84 ms
[2020-11-19 06:23:24	                main:574]	:	INFO	:	Epoch 144 | loss: 4.8884e-05 | val_loss: 4.93355e-05 | Time: 6009.51 ms
[2020-11-19 06:23:30	                main:574]	:	INFO	:	Epoch 145 | loss: 4.71366e-05 | val_loss: 4.72285e-05 | Time: 5873.34 ms
[2020-11-19 06:23:36	                main:574]	:	INFO	:	Epoch 146 | loss: 4.56589e-05 | val_loss: 4.69952e-05 | Time: 5660.94 ms
[2020-11-19 06:23:42	                main:574]	:	INFO	:	Epoch 147 | loss: 4.54522e-05 | val_loss: 4.71218e-05 | Time: 5911.37 ms
[2020-11-19 06:23:47	                main:574]	:	INFO	:	Epoch 148 | loss: 4.45778e-05 | val_loss: 4.91035e-05 | Time: 5903.14 ms
[2020-11-19 06:23:54	                main:574]	:	INFO	:	Epoch 149 | loss: 4.36502e-05 | val_loss: 4.30699e-05 | Time: 6016.98 ms
[2020-11-19 06:24:00	                main:574]	:	INFO	:	Epoch 150 | loss: 4.25807e-05 | val_loss: 4.41559e-05 | Time: 5997.61 ms
[2020-11-19 06:24:06	                main:574]	:	INFO	:	Epoch 151 | loss: 4.2286e-05 | val_loss: 4.41548e-05 | Time: 5806.1 ms
[2020-11-19 06:24:11	                main:574]	:	INFO	:	Epoch 152 | loss: 4.07802e-05 | val_loss: 4.23914e-05 | Time: 5711.63 ms
[2020-11-19 06:24:17	                main:574]	:	INFO	:	Epoch 153 | loss: 4.03289e-05 | val_loss: 4.5293e-05 | Time: 5967.92 ms
[2020-11-19 06:24:23	                main:574]	:	INFO	:	Epoch 154 | loss: 3.98126e-05 | val_loss: 4.08199e-05 | Time: 5851.66 ms
[2020-11-19 06:24:29	                main:574]	:	INFO	:	Epoch 155 | loss: 3.82093e-05 | val_loss: 4.0521e-05 | Time: 5805.32 ms
[2020-11-19 06:24:35	                main:574]	:	INFO	:	Epoch 156 | loss: 3.81348e-05 | val_loss: 3.93194e-05 | Time: 5749.76 ms
[2020-11-19 06:24:41	                main:574]	:	INFO	:	Epoch 157 | loss: 3.73718e-05 | val_loss: 3.79814e-05 | Time: 5688.93 ms
[2020-11-19 06:24:46	                main:574]	:	INFO	:	Epoch 158 | loss: 3.68774e-05 | val_loss: 3.72526e-05 | Time: 5763.35 ms
[2020-11-19 06:24:52	                main:574]	:	INFO	:	Epoch 159 | loss: 3.58957e-05 | val_loss: 3.68732e-05 | Time: 5795.19 ms
[2020-11-19 06:24:58	                main:574]	:	INFO	:	Epoch 160 | loss: 3.54672e-05 | val_loss: 3.63086e-05 | Time: 5815.33 ms
[2020-11-19 06:25:04	                main:574]	:	INFO	:	Epoch 161 | loss: 3.46713e-05 | val_loss: 3.65805e-05 | Time: 5729.91 ms
[2020-11-19 06:25:10	                main:574]	:	INFO	:	Epoch 162 | loss: 3.41875e-05 | val_loss: 3.53444e-05 | Time: 5711.44 ms
[2020-11-19 06:25:16	                main:574]	:	INFO	:	Epoch 163 | loss: 3.35764e-05 | val_loss: 3.42622e-05 | Time: 5762 ms
[2020-11-19 06:25:22	                main:574]	:	INFO	:	Epoch 164 | loss: 3.35043e-05 | val_loss: 3.53319e-05 | Time: 5990.28 ms
[2020-11-19 06:25:27	                main:574]	:	INFO	:	Epoch 165 | loss: 3.27876e-05 | val_loss: 3.30102e-05 | Time: 5711.42 ms
[2020-11-19 06:25:33	                main:574]	:	INFO	:	Epoch 166 | loss: 3.22256e-05 | val_loss: 3.32075e-05 | Time: 5901.59 ms
[2020-11-19 06:25:39	                main:574]	:	INFO	:	Epoch 167 | loss: 3.19143e-05 | val_loss: 3.39105e-05 | Time: 6009.84 ms
[2020-11-19 06:25:45	                main:574]	:	INFO	:	Epoch 168 | loss: 3.06232e-05 | val_loss: 3.19792e-05 | Time: 5766.56 ms
[2020-11-19 06:25:51	                main:574]	:	INFO	:	Epoch 169 | loss: 3.03768e-05 | val_loss: 3.11894e-05 | Time: 5638.75 ms
[2020-11-19 06:25:57	                main:574]	:	INFO	:	Epoch 170 | loss: 2.98459e-05 | val_loss: 2.9888e-05 | Time: 5768.67 ms
[2020-11-19 06:26:03	                main:574]	:	INFO	:	Epoch 171 | loss: 2.96491e-05 | val_loss: 2.95655e-05 | Time: 5695.69 ms
[2020-11-19 06:26:08	                main:574]	:	INFO	:	Epoch 172 | loss: 2.91612e-05 | val_loss: 2.93359e-05 | Time: 5703.48 ms
[2020-11-19 06:26:14	                main:574]	:	INFO	:	Epoch 173 | loss: 2.8647e-05 | val_loss: 2.86579e-05 | Time: 5786.3 ms
[2020-11-19 06:26:20	                main:574]	:	INFO	:	Epoch 174 | loss: 2.79324e-05 | val_loss: 3.04687e-05 | Time: 5769.01 ms
[2020-11-19 06:26:26	                main:574]	:	INFO	:	Epoch 175 | loss: 2.7687e-05 | val_loss: 2.75167e-05 | Time: 5888.87 ms
[2020-11-19 06:26:32	                main:574]	:	INFO	:	Epoch 176 | loss: 2.7394e-05 | val_loss: 2.86237e-05 | Time: 5960.1 ms
[2020-11-19 06:26:38	                main:574]	:	INFO	:	Epoch 177 | loss: 2.74788e-05 | val_loss: 2.69229e-05 | Time: 5811.34 ms
[2020-11-19 06:26:44	                main:574]	:	INFO	:	Epoch 178 | loss: 2.64993e-05 | val_loss: 2.73919e-05 | Time: 5759.67 ms
[2020-11-19 06:26:50	                main:574]	:	INFO	:	Epoch 179 | loss: 2.65202e-05 | val_loss: 2.7223e-05 | Time: 5779.4 ms
[2020-11-19 06:26:55	                main:574]	:	INFO	:	Epoch 180 | loss: 2.58056e-05 | val_loss: 2.53584e-05 | Time: 5775.34 ms
[2020-11-19 06:27:01	                main:574]	:	INFO	:	Epoch 181 | loss: 2.62251e-05 | val_loss: 2.59912e-05 | Time: 5835.46 ms
[2020-11-19 06:27:07	                main:574]	:	INFO	:	Epoch 182 | loss: 2.48845e-05 | val_loss: 2.82181e-05 | Time: 5803.06 ms
[2020-11-19 06:27:13	                main:574]	:	INFO	:	Epoch 183 | loss: 2.46442e-05 | val_loss: 2.65012e-05 | Time: 5699.35 ms
[2020-11-19 06:27:19	                main:574]	:	INFO	:	Epoch 184 | loss: 2.45847e-05 | val_loss: 2.3783e-05 | Time: 5685.94 ms
[2020-11-19 06:27:24	                main:574]	:	INFO	:	Epoch 185 | loss: 2.39066e-05 | val_loss: 2.40344e-05 | Time: 5496.85 ms
[2020-11-19 06:27:30	                main:574]	:	INFO	:	Epoch 186 | loss: 2.40826e-05 | val_loss: 2.46062e-05 | Time: 5740.13 ms
[2020-11-19 06:27:36	                main:574]	:	INFO	:	Epoch 187 | loss: 2.35332e-05 | val_loss: 2.37297e-05 | Time: 5921.2 ms
[2020-11-19 06:27:42	                main:574]	:	INFO	:	Epoch 188 | loss: 2.32557e-05 | val_loss: 2.30087e-05 | Time: 5969.68 ms
[2020-11-19 06:27:48	                main:574]	:	INFO	:	Epoch 189 | loss: 2.35158e-05 | val_loss: 2.23538e-05 | Time: 5958.26 ms
[2020-11-19 06:27:54	                main:574]	:	INFO	:	Epoch 190 | loss: 2.20024e-05 | val_loss: 2.36419e-05 | Time: 5994.39 ms
[2020-11-19 06:28:00	                main:574]	:	INFO	:	Epoch 191 | loss: 2.22057e-05 | val_loss: 2.27725e-05 | Time: 5946.3 ms
[2020-11-19 06:28:06	                main:574]	:	INFO	:	Epoch 192 | loss: 2.28264e-05 | val_loss: 2.28765e-05 | Time: 5954.86 ms
[2020-11-19 06:28:06	                main:597]	:	INFO	:	Saving trained model to model-final.pt, val_loss 2.28765e-05
[2020-11-19 06:28:06	                main:603]	:	INFO	:	Saving end state to config to file
[2020-11-19 06:28:06	                main:608]	:	INFO	:	Success, exiting..
06:28:06 (5144): 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)