Task 2806637

Name rand_automata_0011-1604984809-32411-0_1
Workunit 1264360
Created 10 Nov 2020, 5:46:21 UTC
Sent 10 Nov 2020, 6:02:35 UTC
Report deadline 11 Nov 2020, 4:32:35 UTC
Received 10 Nov 2020, 22:33:45 UTC
Server state Over
Outcome Success
Client state Done
Exit status 0 (0x00000000)
Computer ID 563
Run time 22 min 41 sec
CPU time 22 min 6 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 3.88 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)
[2020-11-10 23:11:03	                main:435]	:	INFO	:	Set logging level to 1
[2020-11-10 23:11:03	                main:441]	:	INFO	:	Running in BOINC Client mode
[2020-11-10 23:11:03	                main:444]	:	INFO	:	Resolving all filenames
[2020-11-10 23:11:03	                main:452]	:	INFO	:	Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0011-train-val-dataset.hdf5 (exists = 1)
[2020-11-10 23:11:03	                main:452]	:	INFO	:	Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0011-1604984809-32411-0_1_r920645625_1 (exists = 0)
[2020-11-10 23:11:03	                main:452]	:	INFO	:	Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0011-1604984809-32411-0_1_r920645625_0 (exists = 0)
[2020-11-10 23:11:03	                main:452]	:	INFO	:	Resolved: model-input.pt => model-input.pt (exists = 0)
[2020-11-10 23:11:03	                main:452]	:	INFO	:	Resolved: snapshot.pt => snapshot.pt (exists = 0)
[2020-11-10 23:11:03	                main:472]	:	INFO	:	Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0011-train-val-dataset.hdf5
[2020-11-10 23:11:03	                main:474]	:	INFO	:	Configuration: 
[2020-11-10 23:11:03	                main:475]	:	INFO	:	    Model type: LSTM
[2020-11-10 23:11:03	                main:476]	:	INFO	:	    Validation Loss Threshold: 0.0001
[2020-11-10 23:11:04	                main:477]	:	INFO	:	    Max Epochs: 192
[2020-11-10 23:11:04	                main:478]	:	INFO	:	    Batch Size: 32
[2020-11-10 23:11:04	                main:479]	:	INFO	:	    Learning Rate: 0.001
[2020-11-10 23:11:04	                main:480]	:	INFO	:	    Patience: 10
[2020-11-10 23:11:04	                main:481]	:	INFO	:	    Hidden Width: 64
[2020-11-10 23:11:04	                main:482]	:	INFO	:	    # Recurrent Layers: 4
[2020-11-10 23:11:04	                main:483]	:	INFO	:	    # Backend Layers: 2
[2020-11-10 23:11:04	                main:484]	:	INFO	:	    # Threads: 1
[2020-11-10 23:11:04	                main:486]	:	INFO	:	Preparing Dataset
[2020-11-10 23:11:04	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0011-train-val-dataset.hdf5 into memory
[2020-11-10 23:11:04	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0011-train-val-dataset.hdf5 into memory
[2020-11-10 23:11:06	                load:106]	:	INFO	:	Successfully loaded dataset of 4096 examples into memory.
[2020-11-10 23:11:06	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0011-train-val-dataset.hdf5 into memory
[2020-11-10 23:11:06	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0011-train-val-dataset.hdf5 into memory
[2020-11-10 23:11:06	                load:106]	:	INFO	:	Successfully loaded dataset of 512 examples into memory.
[2020-11-10 23:11:06	                main:494]	:	INFO	:	Creating Model
[2020-11-10 23:11:06	                main:507]	:	INFO	:	Preparing config file
[2020-11-10 23:11:06	                main:519]	:	INFO	:	Creating new config file
[2020-11-10 23:11:07	                main:559]	:	INFO	:	Loading DataLoader into Memory
[2020-11-10 23:11:07	                main:562]	:	INFO	:	Starting Training
[2020-11-10 23:11:15	                main:574]	:	INFO	:	Epoch 1 | loss: 0.0661303 | val_loss: 0.0657835 | Time: 7291.93 ms
[2020-11-10 23:11:22	                main:574]	:	INFO	:	Epoch 2 | loss: 0.0652006 | val_loss: 0.0644777 | Time: 6878.79 ms
[2020-11-10 23:11:29	                main:574]	:	INFO	:	Epoch 3 | loss: 0.0634188 | val_loss: 0.0621819 | Time: 6827.35 ms
[2020-11-10 23:11:35	                main:574]	:	INFO	:	Epoch 4 | loss: 0.0611931 | val_loss: 0.0601252 | Time: 6800.62 ms
[2020-11-10 23:11:42	                main:574]	:	INFO	:	Epoch 5 | loss: 0.0592067 | val_loss: 0.0584 | Time: 6818.94 ms
[2020-11-10 23:11:50	                main:574]	:	INFO	:	Epoch 6 | loss: 0.0577893 | val_loss: 0.057235 | Time: 6922.51 ms
[2020-11-10 23:11:56	                main:574]	:	INFO	:	Epoch 7 | loss: 0.056756 | val_loss: 0.0563648 | Time: 6778.49 ms
[2020-11-10 23:12:03	                main:574]	:	INFO	:	Epoch 8 | loss: 0.0558517 | val_loss: 0.0554841 | Time: 6793.37 ms
[2020-11-10 23:12:10	                main:574]	:	INFO	:	Epoch 9 | loss: 0.0549826 | val_loss: 0.0546803 | Time: 6958.22 ms
[2020-11-10 23:12:17	                main:574]	:	INFO	:	Epoch 10 | loss: 0.0540735 | val_loss: 0.0536819 | Time: 6962.6 ms
[2020-11-10 23:12:24	                main:574]	:	INFO	:	Epoch 11 | loss: 0.0530636 | val_loss: 0.0527029 | Time: 6917.22 ms
[2020-11-10 23:12:31	                main:574]	:	INFO	:	Epoch 12 | loss: 0.0519368 | val_loss: 0.0517292 | Time: 6887.79 ms
[2020-11-10 23:12:38	                main:574]	:	INFO	:	Epoch 13 | loss: 0.0507158 | val_loss: 0.0501734 | Time: 6925.86 ms
[2020-11-10 23:12:45	                main:574]	:	INFO	:	Epoch 14 | loss: 0.0492289 | val_loss: 0.0489931 | Time: 6946.58 ms
[2020-11-10 23:12:52	                main:574]	:	INFO	:	Epoch 15 | loss: 0.0475307 | val_loss: 0.0467977 | Time: 6869.55 ms
[2020-11-10 23:12:59	                main:574]	:	INFO	:	Epoch 16 | loss: 0.0454207 | val_loss: 0.0449722 | Time: 6910.57 ms
[2020-11-10 23:13:06	                main:574]	:	INFO	:	Epoch 17 | loss: 0.0429777 | val_loss: 0.042436 | Time: 6885.67 ms
[2020-11-10 23:13:13	                main:574]	:	INFO	:	Epoch 18 | loss: 0.0403606 | val_loss: 0.0403107 | Time: 6766.88 ms
[2020-11-10 23:13:20	                main:574]	:	INFO	:	Epoch 19 | loss: 0.0376417 | val_loss: 0.0366149 | Time: 6903.11 ms
[2020-11-10 23:13:27	                main:574]	:	INFO	:	Epoch 20 | loss: 0.049556 | val_loss: 0.0538272 | Time: 6933.21 ms
[2020-11-10 23:13:34	                main:574]	:	INFO	:	Epoch 21 | loss: 0.0428419 | val_loss: 0.0364574 | Time: 7015.38 ms
[2020-11-10 23:13:41	                main:574]	:	INFO	:	Epoch 22 | loss: 0.035526 | val_loss: 0.0346896 | Time: 6884.43 ms
[2020-11-10 23:13:48	                main:574]	:	INFO	:	Epoch 23 | loss: 0.0326939 | val_loss: 0.0329753 | Time: 6836.57 ms
[2020-11-10 23:13:54	                main:574]	:	INFO	:	Epoch 24 | loss: 0.0318506 | val_loss: 0.0311392 | Time: 6778.43 ms
[2020-11-10 23:14:01	                main:574]	:	INFO	:	Epoch 25 | loss: 0.0290041 | val_loss: 0.0393532 | Time: 6701.49 ms
[2020-11-10 23:14:08	                main:574]	:	INFO	:	Epoch 26 | loss: 0.0494837 | val_loss: 0.0483906 | Time: 6759.71 ms
[2020-11-10 23:14:15	                main:574]	:	INFO	:	Epoch 27 | loss: 0.0530697 | val_loss: 0.0608355 | Time: 6730.12 ms
[2020-11-10 23:14:22	                main:574]	:	INFO	:	Epoch 28 | loss: 0.0597108 | val_loss: 0.0586763 | Time: 6893.82 ms
[2020-11-10 23:14:29	                main:574]	:	INFO	:	Epoch 29 | loss: 0.0573543 | val_loss: 0.0560091 | Time: 6811.82 ms
[2020-11-10 23:14:36	                main:574]	:	INFO	:	Epoch 30 | loss: 0.0536823 | val_loss: 0.0511189 | Time: 6914.21 ms
[2020-11-10 23:14:43	                main:574]	:	INFO	:	Epoch 31 | loss: 0.046242 | val_loss: 0.0407895 | Time: 7047.73 ms
[2020-11-10 23:14:50	                main:574]	:	INFO	:	Epoch 32 | loss: 0.0367587 | val_loss: 0.0325231 | Time: 6947.2 ms
[2020-11-10 23:14:57	                main:574]	:	INFO	:	Epoch 33 | loss: 0.0298137 | val_loss: 0.0280268 | Time: 6873.38 ms
[2020-11-10 23:15:03	                main:574]	:	INFO	:	Epoch 34 | loss: 0.0279868 | val_loss: 0.024852 | Time: 6816.47 ms
[2020-11-10 23:15:10	                main:574]	:	INFO	:	Epoch 35 | loss: 0.0435057 | val_loss: 0.032843 | Time: 6836.19 ms
[2020-11-10 23:15:17	                main:574]	:	INFO	:	Epoch 36 | loss: 0.0262919 | val_loss: 0.0265687 | Time: 6934.41 ms
[2020-11-10 23:15:24	                main:574]	:	INFO	:	Epoch 37 | loss: 0.0324866 | val_loss: 0.0618828 | Time: 6859.77 ms
[2020-11-10 23:15:31	                main:574]	:	INFO	:	Epoch 38 | loss: 0.0608944 | val_loss: 0.0601516 | Time: 6952.56 ms
[2020-11-10 23:15:38	                main:574]	:	INFO	:	Epoch 39 | loss: 0.0596684 | val_loss: 0.0589835 | Time: 7014.84 ms
[2020-11-10 23:15:45	                main:574]	:	INFO	:	Epoch 40 | loss: 0.0584045 | val_loss: 0.0576182 | Time: 6993.69 ms
[2020-11-10 23:15:52	                main:574]	:	INFO	:	Epoch 41 | loss: 0.0568669 | val_loss: 0.0559561 | Time: 6920.91 ms
[2020-11-10 23:15:59	                main:574]	:	INFO	:	Epoch 42 | loss: 0.0549158 | val_loss: 0.0537712 | Time: 6847.58 ms
[2020-11-10 23:16:06	                main:574]	:	INFO	:	Epoch 43 | loss: 0.0522064 | val_loss: 0.0504918 | Time: 6808.33 ms
[2020-11-10 23:16:13	                main:574]	:	INFO	:	Epoch 44 | loss: 0.0476775 | val_loss: 0.0446228 | Time: 6708.22 ms
[2020-11-10 23:16:20	                main:574]	:	INFO	:	Epoch 45 | loss: 0.0397794 | val_loss: 0.0513786 | Time: 6906.01 ms
[2020-11-10 23:16:27	                main:574]	:	INFO	:	Epoch 46 | loss: 0.0409849 | val_loss: 0.0314479 | Time: 6875.3 ms
[2020-11-10 23:16:33	                main:574]	:	INFO	:	Epoch 47 | loss: 0.0378065 | val_loss: 0.046837 | Time: 6762.13 ms
[2020-11-10 23:16:40	                main:574]	:	INFO	:	Epoch 48 | loss: 0.0329927 | val_loss: 0.0293377 | Time: 6865.91 ms
[2020-11-10 23:16:47	                main:574]	:	INFO	:	Epoch 49 | loss: 0.0345201 | val_loss: 0.0632876 | Time: 6924.24 ms
[2020-11-10 23:16:54	                main:574]	:	INFO	:	Epoch 50 | loss: 0.0624783 | val_loss: 0.061994 | Time: 6984.02 ms
[2020-11-10 23:17:01	                main:574]	:	INFO	:	Epoch 51 | loss: 0.0618049 | val_loss: 0.0615214 | Time: 6848.3 ms
[2020-11-10 23:17:08	                main:574]	:	INFO	:	Epoch 52 | loss: 0.0614096 | val_loss: 0.0611388 | Time: 6807.43 ms
[2020-11-10 23:17:15	                main:574]	:	INFO	:	Epoch 53 | loss: 0.0610545 | val_loss: 0.0607808 | Time: 6805.54 ms
[2020-11-10 23:17:22	                main:574]	:	INFO	:	Epoch 54 | loss: 0.0606929 | val_loss: 0.0604088 | Time: 6924.4 ms
[2020-11-10 23:17:29	                main:574]	:	INFO	:	Epoch 55 | loss: 0.0602771 | val_loss: 0.0599568 | Time: 6892.25 ms
[2020-11-10 23:17:36	                main:574]	:	INFO	:	Epoch 56 | loss: 0.0597722 | val_loss: 0.0594112 | Time: 6840.26 ms
[2020-11-10 23:17:42	                main:574]	:	INFO	:	Epoch 57 | loss: 0.05912 | val_loss: 0.0586816 | Time: 6873.07 ms
[2020-11-10 23:17:49	                main:574]	:	INFO	:	Epoch 58 | loss: 0.0582877 | val_loss: 0.0577632 | Time: 6776.73 ms
[2020-11-10 23:17:56	                main:574]	:	INFO	:	Epoch 59 | loss: 0.057198 | val_loss: 0.0565043 | Time: 6818.53 ms
[2020-11-10 23:18:03	                main:574]	:	INFO	:	Epoch 60 | loss: 0.0555773 | val_loss: 0.0544701 | Time: 6838.78 ms
[2020-11-10 23:18:10	                main:574]	:	INFO	:	Epoch 61 | loss: 0.0527312 | val_loss: 0.0506062 | Time: 6960.85 ms
[2020-11-10 23:18:17	                main:574]	:	INFO	:	Epoch 62 | loss: 0.0472904 | val_loss: 0.0433441 | Time: 6885.9 ms
[2020-11-10 23:18:24	                main:574]	:	INFO	:	Epoch 63 | loss: 0.038185 | val_loss: 0.0353115 | Time: 6817.97 ms
[2020-11-10 23:18:31	                main:574]	:	INFO	:	Epoch 64 | loss: 0.0332416 | val_loss: 0.0301154 | Time: 6712.79 ms
[2020-11-10 23:18:38	                main:574]	:	INFO	:	Epoch 65 | loss: 0.0287082 | val_loss: 0.0398765 | Time: 6736.99 ms
[2020-11-10 23:18:45	                main:574]	:	INFO	:	Epoch 66 | loss: 0.0300588 | val_loss: 0.0506696 | Time: 6827.08 ms
[2020-11-10 23:18:51	                main:574]	:	INFO	:	Epoch 67 | loss: 0.0306263 | val_loss: 0.0198635 | Time: 6768.57 ms
[2020-11-10 23:18:58	                main:574]	:	INFO	:	Epoch 68 | loss: 0.0475137 | val_loss: 0.0509553 | Time: 6876.13 ms
[2020-11-10 23:19:05	                main:574]	:	INFO	:	Epoch 69 | loss: 0.0423096 | val_loss: 0.047106 | Time: 6849.07 ms
[2020-11-10 23:19:12	                main:574]	:	INFO	:	Epoch 70 | loss: 0.0336332 | val_loss: 0.0360243 | Time: 6811.13 ms
[2020-11-10 23:19:19	                main:574]	:	INFO	:	Epoch 71 | loss: 0.0459525 | val_loss: 0.0389091 | Time: 6858.69 ms
[2020-11-10 23:19:26	                main:574]	:	INFO	:	Epoch 72 | loss: 0.0388938 | val_loss: 0.0481279 | Time: 6866.64 ms
[2020-11-10 23:19:32	                main:574]	:	INFO	:	Epoch 73 | loss: 0.0349796 | val_loss: 0.0261106 | Time: 6677.54 ms
[2020-11-10 23:19:39	                main:574]	:	INFO	:	Epoch 74 | loss: 0.0219323 | val_loss: 0.0472729 | Time: 6861.28 ms
[2020-11-10 23:19:46	                main:574]	:	INFO	:	Epoch 75 | loss: 0.0379636 | val_loss: 0.0253384 | Time: 6817.13 ms
[2020-11-10 23:19:53	                main:574]	:	INFO	:	Epoch 76 | loss: 0.0245212 | val_loss: 0.0269762 | Time: 6767.77 ms
[2020-11-10 23:20:00	                main:574]	:	INFO	:	Epoch 77 | loss: 0.0198636 | val_loss: 0.0162194 | Time: 6722.53 ms
[2020-11-10 23:20:07	                main:574]	:	INFO	:	Epoch 78 | loss: 0.0146013 | val_loss: 0.0156766 | Time: 6826.95 ms
[2020-11-10 23:20:14	                main:574]	:	INFO	:	Epoch 79 | loss: 0.0142325 | val_loss: 0.0138038 | Time: 6839.32 ms
[2020-11-10 23:20:20	                main:574]	:	INFO	:	Epoch 80 | loss: 0.0169439 | val_loss: 0.0176567 | Time: 6825.27 ms
[2020-11-10 23:20:27	                main:574]	:	INFO	:	Epoch 81 | loss: 0.0133564 | val_loss: 0.0123682 | Time: 6810.94 ms
[2020-11-10 23:20:34	                main:574]	:	INFO	:	Epoch 82 | loss: 0.0324863 | val_loss: 0.0617739 | Time: 6837.03 ms
[2020-11-10 23:20:41	                main:574]	:	INFO	:	Epoch 83 | loss: 0.0609607 | val_loss: 0.0601382 | Time: 6766.81 ms
[2020-11-10 23:20:48	                main:574]	:	INFO	:	Epoch 84 | loss: 0.0598067 | val_loss: 0.0592151 | Time: 6855.78 ms
[2020-11-10 23:20:55	                main:574]	:	INFO	:	Epoch 85 | loss: 0.0589436 | val_loss: 0.0583363 | Time: 6858.01 ms
[2020-11-10 23:21:02	                main:574]	:	INFO	:	Epoch 86 | loss: 0.058044 | val_loss: 0.0573686 | Time: 6775.01 ms
[2020-11-10 23:21:08	                main:574]	:	INFO	:	Epoch 87 | loss: 0.0570534 | val_loss: 0.056304 | Time: 6857.48 ms
[2020-11-10 23:21:15	                main:574]	:	INFO	:	Epoch 88 | loss: 0.0559079 | val_loss: 0.0550093 | Time: 6876.24 ms
[2020-11-10 23:21:22	                main:574]	:	INFO	:	Epoch 89 | loss: 0.0544695 | val_loss: 0.0533801 | Time: 6778.84 ms
[2020-11-10 23:21:29	                main:574]	:	INFO	:	Epoch 90 | loss: 0.0526366 | val_loss: 0.0512583 | Time: 6826.06 ms
[2020-11-10 23:21:36	                main:574]	:	INFO	:	Epoch 91 | loss: 0.0499994 | val_loss: 0.0479363 | Time: 6812.07 ms
[2020-11-10 23:21:43	                main:574]	:	INFO	:	Epoch 92 | loss: 0.04543 | val_loss: 0.0420279 | Time: 6720.87 ms
[2020-11-10 23:21:49	                main:574]	:	INFO	:	Epoch 93 | loss: 0.0402028 | val_loss: 0.0363479 | Time: 6711.32 ms
[2020-11-10 23:21:56	                main:574]	:	INFO	:	Epoch 94 | loss: 0.0324658 | val_loss: 0.0288119 | Time: 6807.24 ms
[2020-11-10 23:22:03	                main:574]	:	INFO	:	Epoch 95 | loss: 0.0229533 | val_loss: 0.0204485 | Time: 6796.51 ms
[2020-11-10 23:22:10	                main:574]	:	INFO	:	Epoch 96 | loss: 0.0213475 | val_loss: 0.0239972 | Time: 6920.68 ms
[2020-11-10 23:22:17	                main:574]	:	INFO	:	Epoch 97 | loss: 0.0478438 | val_loss: 0.0547941 | Time: 6734.5 ms
[2020-11-10 23:22:24	                main:574]	:	INFO	:	Epoch 98 | loss: 0.0504163 | val_loss: 0.0455004 | Time: 6877.34 ms
[2020-11-10 23:22:31	                main:574]	:	INFO	:	Epoch 99 | loss: 0.038398 | val_loss: 0.031162 | Time: 6963.49 ms
[2020-11-10 23:22:38	                main:574]	:	INFO	:	Epoch 100 | loss: 0.0278115 | val_loss: 0.0298747 | Time: 6869.56 ms
[2020-11-10 23:22:45	                main:574]	:	INFO	:	Epoch 101 | loss: 0.0289867 | val_loss: 0.039822 | Time: 6862.91 ms
[2020-11-10 23:22:52	                main:574]	:	INFO	:	Epoch 102 | loss: 0.0267489 | val_loss: 0.0202933 | Time: 7000.41 ms
[2020-11-10 23:22:59	                main:574]	:	INFO	:	Epoch 103 | loss: 0.0166573 | val_loss: 0.0158781 | Time: 6804.91 ms
[2020-11-10 23:23:06	                main:574]	:	INFO	:	Epoch 104 | loss: 0.0139904 | val_loss: 0.0136569 | Time: 7020.34 ms
[2020-11-10 23:23:13	                main:574]	:	INFO	:	Epoch 105 | loss: 0.0125536 | val_loss: 0.0126678 | Time: 7114.05 ms
[2020-11-10 23:23:20	                main:574]	:	INFO	:	Epoch 106 | loss: 0.0116368 | val_loss: 0.0119563 | Time: 7059.78 ms
[2020-11-10 23:23:27	                main:574]	:	INFO	:	Epoch 107 | loss: 0.0128343 | val_loss: 0.0127563 | Time: 7109.48 ms
[2020-11-10 23:23:34	                main:574]	:	INFO	:	Epoch 108 | loss: 0.0113336 | val_loss: 0.0111317 | Time: 6977.51 ms
[2020-11-10 23:23:41	                main:574]	:	INFO	:	Epoch 109 | loss: 0.0124007 | val_loss: 0.02486 | Time: 6852.07 ms
[2020-11-10 23:23:48	                main:574]	:	INFO	:	Epoch 110 | loss: 0.026241 | val_loss: 0.0132573 | Time: 6883.94 ms
[2020-11-10 23:23:55	                main:574]	:	INFO	:	Epoch 111 | loss: 0.0418735 | val_loss: 0.0601906 | Time: 6891.7 ms
[2020-11-10 23:24:02	                main:574]	:	INFO	:	Epoch 112 | loss: 0.0595096 | val_loss: 0.0586552 | Time: 6869.82 ms
[2020-11-10 23:24:09	                main:574]	:	INFO	:	Epoch 113 | loss: 0.0577263 | val_loss: 0.0565578 | Time: 6951.84 ms
[2020-11-10 23:24:16	                main:574]	:	INFO	:	Epoch 114 | loss: 0.0549443 | val_loss: 0.053099 | Time: 6922.03 ms
[2020-11-10 23:24:23	                main:574]	:	INFO	:	Epoch 115 | loss: 0.0502748 | val_loss: 0.0468658 | Time: 6933.04 ms
[2020-11-10 23:24:30	                main:574]	:	INFO	:	Epoch 116 | loss: 0.0406091 | val_loss: 0.0410889 | Time: 6868.84 ms
[2020-11-10 23:24:37	                main:574]	:	INFO	:	Epoch 117 | loss: 0.0414677 | val_loss: 0.0372582 | Time: 6848.17 ms
[2020-11-10 23:24:44	                main:574]	:	INFO	:	Epoch 118 | loss: 0.0406859 | val_loss: 0.0448803 | Time: 6900.59 ms
[2020-11-10 23:24:51	                main:574]	:	INFO	:	Epoch 119 | loss: 0.0312507 | val_loss: 0.0213409 | Time: 6891.81 ms
[2020-11-10 23:24:58	                main:574]	:	INFO	:	Epoch 120 | loss: 0.0169429 | val_loss: 0.0149325 | Time: 6886.83 ms
[2020-11-10 23:25:05	                main:574]	:	INFO	:	Epoch 121 | loss: 0.0498562 | val_loss: 0.0572465 | Time: 6938.74 ms
[2020-11-10 23:25:12	                main:574]	:	INFO	:	Epoch 122 | loss: 0.0557136 | val_loss: 0.0541677 | Time: 6935.44 ms
[2020-11-10 23:25:19	                main:574]	:	INFO	:	Epoch 123 | loss: 0.0515926 | val_loss: 0.0487826 | Time: 6925.88 ms
[2020-11-10 23:25:26	                main:574]	:	INFO	:	Epoch 124 | loss: 0.0469291 | val_loss: 0.0517457 | Time: 6798.57 ms
[2020-11-10 23:25:33	                main:574]	:	INFO	:	Epoch 125 | loss: 0.0446692 | val_loss: 0.0382022 | Time: 6825.4 ms
[2020-11-10 23:25:39	                main:574]	:	INFO	:	Epoch 126 | loss: 0.0319582 | val_loss: 0.0248675 | Time: 6910.51 ms
[2020-11-10 23:25:46	                main:574]	:	INFO	:	Epoch 127 | loss: 0.0280349 | val_loss: 0.0410824 | Time: 6881.84 ms
[2020-11-10 23:25:53	                main:574]	:	INFO	:	Epoch 128 | loss: 0.0301535 | val_loss: 0.0211771 | Time: 6891.52 ms
[2020-11-10 23:26:00	                main:574]	:	INFO	:	Epoch 129 | loss: 0.016956 | val_loss: 0.0176187 | Time: 6870.2 ms
[2020-11-10 23:26:07	                main:574]	:	INFO	:	Epoch 130 | loss: 0.0227662 | val_loss: 0.0194469 | Time: 6947.33 ms
[2020-11-10 23:26:14	                main:574]	:	INFO	:	Epoch 131 | loss: 0.0142187 | val_loss: 0.0127714 | Time: 6968.53 ms
[2020-11-10 23:26:21	                main:574]	:	INFO	:	Epoch 132 | loss: 0.0118187 | val_loss: 0.0115729 | Time: 7005 ms
[2020-11-10 23:26:28	                main:574]	:	INFO	:	Epoch 133 | loss: 0.0122625 | val_loss: 0.0116028 | Time: 7005.82 ms
[2020-11-10 23:26:36	                main:574]	:	INFO	:	Epoch 134 | loss: 0.0107144 | val_loss: 0.01048 | Time: 7046.53 ms
[2020-11-10 23:26:43	                main:574]	:	INFO	:	Epoch 135 | loss: 0.0100819 | val_loss: 0.0101857 | Time: 6941.15 ms
[2020-11-10 23:26:50	                main:574]	:	INFO	:	Epoch 136 | loss: 0.00974865 | val_loss: 0.00978488 | Time: 6981.94 ms
[2020-11-10 23:26:57	                main:574]	:	INFO	:	Epoch 137 | loss: 0.00947772 | val_loss: 0.0098959 | Time: 6948.33 ms
[2020-11-10 23:27:04	                main:574]	:	INFO	:	Epoch 138 | loss: 0.0518914 | val_loss: 0.059647 | Time: 6954.72 ms
[2020-11-10 23:27:11	                main:574]	:	INFO	:	Epoch 139 | loss: 0.0594369 | val_loss: 0.0589971 | Time: 6959.65 ms
[2020-11-10 23:27:17	                main:574]	:	INFO	:	Epoch 140 | loss: 0.0588536 | val_loss: 0.058423 | Time: 6820.55 ms
[2020-11-10 23:27:24	                main:574]	:	INFO	:	Epoch 141 | loss: 0.0582486 | val_loss: 0.0577881 | Time: 6906.13 ms
[2020-11-10 23:27:31	                main:574]	:	INFO	:	Epoch 142 | loss: 0.057562 | val_loss: 0.0570578 | Time: 6797.93 ms
[2020-11-10 23:27:38	                main:574]	:	INFO	:	Epoch 143 | loss: 0.0567808 | val_loss: 0.0561993 | Time: 6833.84 ms
[2020-11-10 23:27:45	                main:574]	:	INFO	:	Epoch 144 | loss: 0.0558915 | val_loss: 0.0551928 | Time: 6858.16 ms
[2020-11-10 23:27:52	                main:574]	:	INFO	:	Epoch 145 | loss: 0.0548403 | val_loss: 0.0540432 | Time: 6862.67 ms
[2020-11-10 23:27:59	                main:574]	:	INFO	:	Epoch 146 | loss: 0.0536063 | val_loss: 0.0526265 | Time: 6954.17 ms
[2020-11-10 23:28:06	                main:574]	:	INFO	:	Epoch 147 | loss: 0.0519468 | val_loss: 0.0506129 | Time: 7038.34 ms
[2020-11-10 23:28:13	                main:574]	:	INFO	:	Epoch 148 | loss: 0.0495514 | val_loss: 0.0478303 | Time: 7062.84 ms
[2020-11-10 23:28:20	                main:574]	:	INFO	:	Epoch 149 | loss: 0.0455986 | val_loss: 0.0427006 | Time: 6983 ms
[2020-11-10 23:28:27	                main:574]	:	INFO	:	Epoch 150 | loss: 0.0401505 | val_loss: 0.058508 | Time: 6919.55 ms
[2020-11-10 23:28:34	                main:574]	:	INFO	:	Epoch 151 | loss: 0.0592081 | val_loss: 0.0582226 | Time: 7002.92 ms
[2020-11-10 23:28:41	                main:574]	:	INFO	:	Epoch 152 | loss: 0.0576087 | val_loss: 0.0566986 | Time: 7040.92 ms
[2020-11-10 23:28:48	                main:574]	:	INFO	:	Epoch 153 | loss: 0.0558203 | val_loss: 0.0544439 | Time: 6994.91 ms
[2020-11-10 23:28:56	                main:574]	:	INFO	:	Epoch 154 | loss: 0.0530722 | val_loss: 0.0510508 | Time: 6996.39 ms
[2020-11-10 23:29:03	                main:574]	:	INFO	:	Epoch 155 | loss: 0.0488415 | val_loss: 0.0461457 | Time: 6916.58 ms
[2020-11-10 23:29:10	                main:574]	:	INFO	:	Epoch 156 | loss: 0.0421553 | val_loss: 0.0383232 | Time: 6921.84 ms
[2020-11-10 23:29:16	                main:574]	:	INFO	:	Epoch 157 | loss: 0.0339849 | val_loss: 0.0298952 | Time: 6890.23 ms
[2020-11-10 23:29:24	                main:574]	:	INFO	:	Epoch 158 | loss: 0.0252362 | val_loss: 0.0221068 | Time: 7005.48 ms
[2020-11-10 23:29:31	                main:574]	:	INFO	:	Epoch 159 | loss: 0.0206731 | val_loss: 0.0189857 | Time: 7093.89 ms
[2020-11-10 23:29:38	                main:574]	:	INFO	:	Epoch 160 | loss: 0.0204289 | val_loss: 0.0189193 | Time: 7126.16 ms
[2020-11-10 23:29:45	                main:574]	:	INFO	:	Epoch 161 | loss: 0.0160082 | val_loss: 0.014983 | Time: 7012.6 ms
[2020-11-10 23:29:52	                main:574]	:	INFO	:	Epoch 162 | loss: 0.0132483 | val_loss: 0.0131047 | Time: 6969.64 ms
[2020-11-10 23:29:59	                main:574]	:	INFO	:	Epoch 163 | loss: 0.0135083 | val_loss: 0.0156104 | Time: 7059.96 ms
[2020-11-10 23:30:06	                main:574]	:	INFO	:	Epoch 164 | loss: 0.0142229 | val_loss: 0.0385444 | Time: 7036.06 ms
[2020-11-10 23:30:13	                main:574]	:	INFO	:	Epoch 165 | loss: 0.0341716 | val_loss: 0.0252914 | Time: 6947.71 ms
[2020-11-10 23:30:20	                main:574]	:	INFO	:	Epoch 166 | loss: 0.021535 | val_loss: 0.0165993 | Time: 6857.15 ms
[2020-11-10 23:30:27	                main:574]	:	INFO	:	Epoch 167 | loss: 0.0187508 | val_loss: 0.0396492 | Time: 6953.91 ms
[2020-11-10 23:30:34	                main:574]	:	INFO	:	Epoch 168 | loss: 0.0236795 | val_loss: 0.0151864 | Time: 6947.78 ms
[2020-11-10 23:30:41	                main:574]	:	INFO	:	Epoch 169 | loss: 0.0148925 | val_loss: 0.0142018 | Time: 7022.24 ms
[2020-11-10 23:30:48	                main:574]	:	INFO	:	Epoch 170 | loss: 0.0118784 | val_loss: 0.011907 | Time: 7016.24 ms
[2020-11-10 23:30:55	                main:574]	:	INFO	:	Epoch 171 | loss: 0.0107009 | val_loss: 0.0106066 | Time: 6944.04 ms
[2020-11-10 23:31:03	                main:574]	:	INFO	:	Epoch 172 | loss: 0.0100676 | val_loss: 0.0101419 | Time: 7084.65 ms
[2020-11-10 23:31:10	                main:574]	:	INFO	:	Epoch 173 | loss: 0.00968184 | val_loss: 0.00974769 | Time: 7012.98 ms
[2020-11-10 23:31:17	                main:574]	:	INFO	:	Epoch 174 | loss: 0.00936323 | val_loss: 0.00938776 | Time: 6972.32 ms
[2020-11-10 23:31:24	                main:574]	:	INFO	:	Epoch 175 | loss: 0.00909929 | val_loss: 0.00910551 | Time: 6886.76 ms
[2020-11-10 23:31:31	                main:574]	:	INFO	:	Epoch 176 | loss: 0.00887316 | val_loss: 0.00897512 | Time: 7022.66 ms
[2020-11-10 23:31:38	                main:574]	:	INFO	:	Epoch 177 | loss: 0.00866299 | val_loss: 0.00870517 | Time: 7063.98 ms
[2020-11-10 23:31:45	                main:574]	:	INFO	:	Epoch 178 | loss: 0.00846938 | val_loss: 0.00852535 | Time: 7053.52 ms
[2020-11-10 23:31:52	                main:574]	:	INFO	:	Epoch 179 | loss: 0.00829602 | val_loss: 0.0083611 | Time: 7107.36 ms
[2020-11-10 23:31:59	                main:574]	:	INFO	:	Epoch 180 | loss: 0.00813548 | val_loss: 0.0081993 | Time: 7110.1 ms
[2020-11-10 23:32:06	                main:574]	:	INFO	:	Epoch 181 | loss: 0.00797622 | val_loss: 0.00805263 | Time: 7072.12 ms
[2020-11-10 23:32:13	                main:574]	:	INFO	:	Epoch 182 | loss: 0.00782835 | val_loss: 0.00790977 | Time: 7020.5 ms
[2020-11-10 23:32:21	                main:574]	:	INFO	:	Epoch 183 | loss: 0.00768216 | val_loss: 0.0077621 | Time: 7082.02 ms
[2020-11-10 23:32:28	                main:574]	:	INFO	:	Epoch 184 | loss: 0.00753405 | val_loss: 0.00756846 | Time: 7071.55 ms
[2020-11-10 23:32:35	                main:574]	:	INFO	:	Epoch 185 | loss: 0.0073935 | val_loss: 0.00743679 | Time: 7231.89 ms
[2020-11-10 23:32:42	                main:574]	:	INFO	:	Epoch 186 | loss: 0.00725641 | val_loss: 0.00727662 | Time: 7218.97 ms
[2020-11-10 23:32:50	                main:574]	:	INFO	:	Epoch 187 | loss: 0.00712052 | val_loss: 0.00713458 | Time: 7280.62 ms
[2020-11-10 23:32:57	                main:574]	:	INFO	:	Epoch 188 | loss: 0.00698362 | val_loss: 0.00699553 | Time: 7194.82 ms
[2020-11-10 23:33:04	                main:574]	:	INFO	:	Epoch 189 | loss: 0.00684839 | val_loss: 0.00684635 | Time: 7155.11 ms
[2020-11-10 23:33:11	                main:574]	:	INFO	:	Epoch 190 | loss: 0.00672212 | val_loss: 0.00671254 | Time: 7131.53 ms
[2020-11-10 23:33:18	                main:574]	:	INFO	:	Epoch 191 | loss: 0.00688541 | val_loss: 0.0178821 | Time: 7047.38 ms
[2020-11-10 23:33:25	                main:574]	:	INFO	:	Epoch 192 | loss: 0.00851156 | val_loss: 0.00693259 | Time: 7141.65 ms
[2020-11-10 23:33:26	                main:597]	:	INFO	:	Saving trained model to model-final.pt, val_loss 0.00693259
[2020-11-10 23:33:26	                main:603]	:	INFO	:	Saving end state to config to file
[2020-11-10 23:33:26	                main:608]	:	INFO	:	Success, exiting..
23:33:26 (2768): called boinc_finish(0)

</stderr_txt>
]]>


©2022 MLC@Home Team
A project of the Cognition, Robotics, and Learning (CORAL) Lab at the University of Maryland, Baltimore County (UMBC)