Task 2868260

Name rand_automata_0002-1605109695-16418-0_1
Workunit 1293832
Created 11 Nov 2020, 15:48:20 UTC
Sent 12 Nov 2020, 9:37:27 UTC
Report deadline 20 Nov 2020, 9:37:27 UTC
Received 12 Nov 2020, 10:41:08 UTC
Server state Over
Outcome Success
Client state Done
Exit status 0 (0x00000000)
Computer ID 3472
Run time 9 min 55 sec
CPU time 9 min 12 sec
Validate state Valid
Credit 959.40
Device peak FLOPS 4,377.82 GFLOPS
Application version Machine Learning Dataset Generator (GPU) v9.75 (cuda10200)
windows_x86_64
Peak working set size 1.50 GB
Peak swap size 3.17 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 1060 6GB)
[2020-11-12 11:01:58	                main:435]	:	INFO	:	Set logging level to 1
[2020-11-12 11:01:58	                main:441]	:	INFO	:	Running in BOINC Client mode
[2020-11-12 11:01:58	                main:444]	:	INFO	:	Resolving all filenames
[2020-11-12 11:01:58	                main:452]	:	INFO	:	Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0002-train-val-dataset.hdf5 (exists = 1)
[2020-11-12 11:01:58	                main:452]	:	INFO	:	Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0002-1605109695-16418-0_1_r1125232471_1 (exists = 0)
[2020-11-12 11:01:58	                main:452]	:	INFO	:	Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0002-1605109695-16418-0_1_r1125232471_0 (exists = 0)
[2020-11-12 11:01:58	                main:452]	:	INFO	:	Resolved: model-input.pt => model-input.pt (exists = 0)
[2020-11-12 11:01:58	                main:452]	:	INFO	:	Resolved: snapshot.pt => snapshot.pt (exists = 0)
[2020-11-12 11:01:58	                main:472]	:	INFO	:	Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0002-train-val-dataset.hdf5
[2020-11-12 11:01:58	                main:474]	:	INFO	:	Configuration: 
[2020-11-12 11:01:58	                main:475]	:	INFO	:	    Model type: LSTM
[2020-11-12 11:01:58	                main:476]	:	INFO	:	    Validation Loss Threshold: 0.0001
[2020-11-12 11:01:58	                main:477]	:	INFO	:	    Max Epochs: 192
[2020-11-12 11:01:58	                main:478]	:	INFO	:	    Batch Size: 32
[2020-11-12 11:01:58	                main:479]	:	INFO	:	    Learning Rate: 0.001
[2020-11-12 11:01:58	                main:480]	:	INFO	:	    Patience: 10
[2020-11-12 11:01:58	                main:481]	:	INFO	:	    Hidden Width: 64
[2020-11-12 11:01:58	                main:482]	:	INFO	:	    # Recurrent Layers: 4
[2020-11-12 11:01:58	                main:483]	:	INFO	:	    # Backend Layers: 2
[2020-11-12 11:01:58	                main:484]	:	INFO	:	    # Threads: 1
[2020-11-12 11:01:58	                main:486]	:	INFO	:	Preparing Dataset
[2020-11-12 11:01:58	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0002-train-val-dataset.hdf5 into memory
[2020-11-12 11:01:59	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0002-train-val-dataset.hdf5 into memory
[2020-11-12 11:02:00	                load:106]	:	INFO	:	Successfully loaded dataset of 4096 examples into memory.
[2020-11-12 11:02:00	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0002-train-val-dataset.hdf5 into memory
[2020-11-12 11:02:00	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0002-train-val-dataset.hdf5 into memory
[2020-11-12 11:02:00	                load:106]	:	INFO	:	Successfully loaded dataset of 512 examples into memory.
[2020-11-12 11:02:00	                main:494]	:	INFO	:	Creating Model
[2020-11-12 11:02:00	                main:507]	:	INFO	:	Preparing config file
[2020-11-12 11:02:00	                main:519]	:	INFO	:	Creating new config file
[2020-11-12 11:02:01	                main:559]	:	INFO	:	Loading DataLoader into Memory
[2020-11-12 11:02:01	                main:562]	:	INFO	:	Starting Training
[2020-11-12 11:02:04	                main:574]	:	INFO	:	Epoch 1 | loss: 0.066201 | val_loss: 0.0657686 | Time: 3258.99 ms
[2020-11-12 11:02:07	                main:574]	:	INFO	:	Epoch 2 | loss: 0.0648752 | val_loss: 0.0630267 | Time: 2857.22 ms
[2020-11-12 11:02:10	                main:574]	:	INFO	:	Epoch 3 | loss: 0.0611732 | val_loss: 0.0593973 | Time: 2861.56 ms
[2020-11-12 11:02:13	                main:574]	:	INFO	:	Epoch 4 | loss: 0.0579151 | val_loss: 0.0567221 | Time: 2909.15 ms
[2020-11-12 11:02:16	                main:574]	:	INFO	:	Epoch 5 | loss: 0.0556934 | val_loss: 0.0550291 | Time: 2876.55 ms
[2020-11-12 11:02:19	                main:574]	:	INFO	:	Epoch 6 | loss: 0.0541819 | val_loss: 0.0536277 | Time: 2892.13 ms
[2020-11-12 11:02:22	                main:574]	:	INFO	:	Epoch 7 | loss: 0.0528396 | val_loss: 0.0523363 | Time: 2928.74 ms
[2020-11-12 11:02:24	                main:574]	:	INFO	:	Epoch 8 | loss: 0.0516123 | val_loss: 0.05121 | Time: 2860.46 ms
[2020-11-12 11:02:27	                main:574]	:	INFO	:	Epoch 9 | loss: 0.0504035 | val_loss: 0.0499675 | Time: 2866.17 ms
[2020-11-12 11:02:30	                main:574]	:	INFO	:	Epoch 10 | loss: 0.0491733 | val_loss: 0.0489442 | Time: 2877.2 ms
[2020-11-12 11:02:33	                main:574]	:	INFO	:	Epoch 11 | loss: 0.0477804 | val_loss: 0.0475012 | Time: 3016.02 ms
[2020-11-12 11:02:36	                main:574]	:	INFO	:	Epoch 12 | loss: 0.0462213 | val_loss: 0.0458152 | Time: 2886.34 ms
[2020-11-12 11:02:39	                main:574]	:	INFO	:	Epoch 13 | loss: 0.0445304 | val_loss: 0.0441046 | Time: 3025.44 ms
[2020-11-12 11:02:43	                main:574]	:	INFO	:	Epoch 14 | loss: 0.0424337 | val_loss: 0.0420612 | Time: 3441.82 ms
[2020-11-12 11:03:08	                main:574]	:	INFO	:	Epoch 15 | loss: 0.0400732 | val_loss: 0.0393667 | Time: 25397.4 ms
[2020-11-12 11:03:11	                main:574]	:	INFO	:	Epoch 16 | loss: 0.0372569 | val_loss: 0.0373863 | Time: 2910.74 ms
[2020-11-12 11:03:14	                main:574]	:	INFO	:	Epoch 17 | loss: 0.0341681 | val_loss: 0.0342215 | Time: 2963.41 ms
[2020-11-12 11:03:17	                main:574]	:	INFO	:	Epoch 18 | loss: 0.0309649 | val_loss: 0.0322211 | Time: 2968.56 ms
[2020-11-12 11:03:20	                main:574]	:	INFO	:	Epoch 19 | loss: 0.0281193 | val_loss: 0.0434469 | Time: 3226.56 ms
[2020-11-12 11:03:24	                main:574]	:	INFO	:	Epoch 20 | loss: 0.0285575 | val_loss: 0.0249697 | Time: 3324.82 ms
[2020-11-12 11:03:38	                main:574]	:	INFO	:	Epoch 21 | loss: 0.0306559 | val_loss: 0.0524416 | Time: 13982.3 ms
[2020-11-12 11:03:41	                main:574]	:	INFO	:	Epoch 22 | loss: 0.0329114 | val_loss: 0.0302071 | Time: 3205.23 ms
[2020-11-12 11:03:44	                main:574]	:	INFO	:	Epoch 23 | loss: 0.0240939 | val_loss: 0.0667388 | Time: 3733.34 ms
[2020-11-12 11:03:58	                main:574]	:	INFO	:	Epoch 24 | loss: 0.0542925 | val_loss: 0.047135 | Time: 13513.6 ms
[2020-11-12 11:04:01	                main:574]	:	INFO	:	Epoch 25 | loss: 0.0357665 | val_loss: 0.0298079 | Time: 2951.02 ms
[2020-11-12 11:04:04	                main:574]	:	INFO	:	Epoch 26 | loss: 0.0255642 | val_loss: 0.0196393 | Time: 2989.84 ms
[2020-11-12 11:04:08	                main:574]	:	INFO	:	Epoch 27 | loss: 0.016335 | val_loss: 0.014399 | Time: 3612.42 ms
[2020-11-12 11:04:11	                main:574]	:	INFO	:	Epoch 28 | loss: 0.0151224 | val_loss: 0.0242156 | Time: 3446.85 ms
[2020-11-12 11:04:14	                main:574]	:	INFO	:	Epoch 29 | loss: 0.0152392 | val_loss: 0.0116416 | Time: 3279.73 ms
[2020-11-12 11:04:28	                main:574]	:	INFO	:	Epoch 30 | loss: 0.0107249 | val_loss: 0.010766 | Time: 13496.7 ms
[2020-11-12 11:04:31	                main:574]	:	INFO	:	Epoch 31 | loss: 0.0119815 | val_loss: 0.025777 | Time: 3394.41 ms
[2020-11-12 11:04:34	                main:574]	:	INFO	:	Epoch 32 | loss: 0.0136393 | val_loss: 0.0101217 | Time: 2987.68 ms
[2020-11-12 11:04:37	                main:574]	:	INFO	:	Epoch 33 | loss: 0.00920677 | val_loss: 0.0108834 | Time: 3003.3 ms
[2020-11-12 11:04:40	                main:574]	:	INFO	:	Epoch 34 | loss: 0.00882652 | val_loss: 0.00848266 | Time: 2953.03 ms
[2020-11-12 11:04:43	                main:574]	:	INFO	:	Epoch 35 | loss: 0.00794801 | val_loss: 0.00808747 | Time: 2910.16 ms
[2020-11-12 11:04:46	                main:574]	:	INFO	:	Epoch 36 | loss: 0.00785852 | val_loss: 0.00778226 | Time: 2977.76 ms
[2020-11-12 11:04:49	                main:574]	:	INFO	:	Epoch 37 | loss: 0.00730197 | val_loss: 0.00745589 | Time: 2890.14 ms
[2020-11-12 11:04:52	                main:574]	:	INFO	:	Epoch 38 | loss: 0.0069739 | val_loss: 0.00706092 | Time: 3241.55 ms
[2020-11-12 11:04:55	                main:574]	:	INFO	:	Epoch 39 | loss: 0.00667873 | val_loss: 0.00684385 | Time: 3057.21 ms
[2020-11-12 11:04:59	                main:574]	:	INFO	:	Epoch 40 | loss: 0.0064228 | val_loss: 0.00648811 | Time: 3108.08 ms
[2020-11-12 11:05:02	                main:574]	:	INFO	:	Epoch 41 | loss: 0.00616382 | val_loss: 0.00622256 | Time: 3102.91 ms
[2020-11-12 11:05:05	                main:574]	:	INFO	:	Epoch 42 | loss: 0.00593005 | val_loss: 0.00599204 | Time: 3104.32 ms
[2020-11-12 11:05:08	                main:574]	:	INFO	:	Epoch 43 | loss: 0.00570009 | val_loss: 0.00575024 | Time: 2895.64 ms
[2020-11-12 11:05:11	                main:574]	:	INFO	:	Epoch 44 | loss: 0.00548152 | val_loss: 0.00551911 | Time: 2907.62 ms
[2020-11-12 11:05:14	                main:574]	:	INFO	:	Epoch 45 | loss: 0.0052627 | val_loss: 0.00528482 | Time: 2918.4 ms
[2020-11-12 11:05:16	                main:574]	:	INFO	:	Epoch 46 | loss: 0.00505754 | val_loss: 0.00507463 | Time: 2900.92 ms
[2020-11-12 11:05:19	                main:574]	:	INFO	:	Epoch 47 | loss: 0.00485072 | val_loss: 0.00486406 | Time: 2866.3 ms
[2020-11-12 11:05:23	                main:574]	:	INFO	:	Epoch 48 | loss: 0.00465265 | val_loss: 0.00466315 | Time: 3723.17 ms
[2020-11-12 11:05:27	                main:574]	:	INFO	:	Epoch 49 | loss: 0.00445703 | val_loss: 0.00447038 | Time: 3608.81 ms
[2020-11-12 11:06:00	                main:574]	:	INFO	:	Epoch 50 | loss: 0.00427134 | val_loss: 0.00427967 | Time: 33498.6 ms
[2020-11-12 11:06:03	                main:574]	:	INFO	:	Epoch 51 | loss: 0.00409207 | val_loss: 0.00409653 | Time: 2938.82 ms
[2020-11-12 11:06:06	                main:574]	:	INFO	:	Epoch 52 | loss: 0.00391634 | val_loss: 0.00392858 | Time: 3256.16 ms
[2020-11-12 11:06:09	                main:574]	:	INFO	:	Epoch 53 | loss: 0.00374738 | val_loss: 0.00374608 | Time: 2926.41 ms
[2020-11-12 11:06:12	                main:574]	:	INFO	:	Epoch 54 | loss: 0.00358329 | val_loss: 0.00357382 | Time: 2921.51 ms
[2020-11-12 11:06:16	                main:574]	:	INFO	:	Epoch 55 | loss: 0.0034238 | val_loss: 0.00341431 | Time: 3140.14 ms
[2020-11-12 11:06:19	                main:574]	:	INFO	:	Epoch 56 | loss: 0.00327104 | val_loss: 0.00326199 | Time: 2978.99 ms
[2020-11-12 11:06:21	                main:574]	:	INFO	:	Epoch 57 | loss: 0.00312251 | val_loss: 0.00311062 | Time: 2933.18 ms
[2020-11-12 11:06:24	                main:574]	:	INFO	:	Epoch 58 | loss: 0.00297903 | val_loss: 0.00297251 | Time: 2950.71 ms
[2020-11-12 11:06:27	                main:574]	:	INFO	:	Epoch 59 | loss: 0.0028421 | val_loss: 0.00283066 | Time: 2948.75 ms
[2020-11-12 11:06:30	                main:574]	:	INFO	:	Epoch 60 | loss: 0.00270843 | val_loss: 0.00269754 | Time: 2949.08 ms
[2020-11-12 11:06:33	                main:574]	:	INFO	:	Epoch 61 | loss: 0.00258136 | val_loss: 0.00256763 | Time: 2918.47 ms
[2020-11-12 11:06:36	                main:574]	:	INFO	:	Epoch 62 | loss: 0.00245823 | val_loss: 0.0024463 | Time: 2928 ms
[2020-11-12 11:06:39	                main:574]	:	INFO	:	Epoch 63 | loss: 0.00233996 | val_loss: 0.00233139 | Time: 2920.18 ms
[2020-11-12 11:06:42	                main:574]	:	INFO	:	Epoch 64 | loss: 0.00222611 | val_loss: 0.0022144 | Time: 2912.37 ms
[2020-11-12 11:06:45	                main:574]	:	INFO	:	Epoch 65 | loss: 0.00211645 | val_loss: 0.0021075 | Time: 2881.59 ms
[2020-11-12 11:06:48	                main:574]	:	INFO	:	Epoch 66 | loss: 0.00201276 | val_loss: 0.00199925 | Time: 2939.93 ms
[2020-11-12 11:06:51	                main:574]	:	INFO	:	Epoch 67 | loss: 0.00191256 | val_loss: 0.00190178 | Time: 2944.95 ms
[2020-11-12 11:06:54	                main:574]	:	INFO	:	Epoch 68 | loss: 0.00181579 | val_loss: 0.00180495 | Time: 2920.39 ms
[2020-11-12 11:06:57	                main:574]	:	INFO	:	Epoch 69 | loss: 0.00172412 | val_loss: 0.00171716 | Time: 2904.96 ms
[2020-11-12 11:07:00	                main:574]	:	INFO	:	Epoch 70 | loss: 0.00163659 | val_loss: 0.00162466 | Time: 2902.95 ms
[2020-11-12 11:07:03	                main:574]	:	INFO	:	Epoch 71 | loss: 0.00155058 | val_loss: 0.00154224 | Time: 3038.06 ms
[2020-11-12 11:07:06	                main:574]	:	INFO	:	Epoch 72 | loss: 0.00147038 | val_loss: 0.00146064 | Time: 2881.83 ms
[2020-11-12 11:07:09	                main:574]	:	INFO	:	Epoch 73 | loss: 0.00139243 | val_loss: 0.00138115 | Time: 2888.45 ms
[2020-11-12 11:07:11	                main:574]	:	INFO	:	Epoch 74 | loss: 0.00131919 | val_loss: 0.00130936 | Time: 2893.92 ms
[2020-11-12 11:07:14	                main:574]	:	INFO	:	Epoch 75 | loss: 0.00124898 | val_loss: 0.00123973 | Time: 2889.71 ms
[2020-11-12 11:07:17	                main:574]	:	INFO	:	Epoch 76 | loss: 0.00118195 | val_loss: 0.00117132 | Time: 2893.39 ms
[2020-11-12 11:07:20	                main:574]	:	INFO	:	Epoch 77 | loss: 0.00111845 | val_loss: 0.00110777 | Time: 3014.28 ms
[2020-11-12 11:07:23	                main:574]	:	INFO	:	Epoch 78 | loss: 0.0010569 | val_loss: 0.00104816 | Time: 3025.16 ms
[2020-11-12 11:07:26	                main:574]	:	INFO	:	Epoch 79 | loss: 0.0009995 | val_loss: 0.000991991 | Time: 2937.37 ms
[2020-11-12 11:07:29	                main:574]	:	INFO	:	Epoch 80 | loss: 0.000945567 | val_loss: 0.000937284 | Time: 2912.87 ms
[2020-11-12 11:07:32	                main:574]	:	INFO	:	Epoch 81 | loss: 0.000893371 | val_loss: 0.000887262 | Time: 2908.68 ms
[2020-11-12 11:07:35	                main:574]	:	INFO	:	Epoch 82 | loss: 0.000844001 | val_loss: 0.00083707 | Time: 2917.84 ms
[2020-11-12 11:07:38	                main:574]	:	INFO	:	Epoch 83 | loss: 0.000798455 | val_loss: 0.000791609 | Time: 2903.6 ms
[2020-11-12 11:07:41	                main:574]	:	INFO	:	Epoch 84 | loss: 0.000753891 | val_loss: 0.000746917 | Time: 2922.68 ms
[2020-11-12 11:07:44	                main:574]	:	INFO	:	Epoch 85 | loss: 0.000713163 | val_loss: 0.00070792 | Time: 2945.09 ms
[2020-11-12 11:07:47	                main:574]	:	INFO	:	Epoch 86 | loss: 0.00067386 | val_loss: 0.000668559 | Time: 2942.96 ms
[2020-11-12 11:07:50	                main:574]	:	INFO	:	Epoch 87 | loss: 0.000636901 | val_loss: 0.000629853 | Time: 2922.06 ms
[2020-11-12 11:07:53	                main:574]	:	INFO	:	Epoch 88 | loss: 0.000601967 | val_loss: 0.000597072 | Time: 3146.78 ms
[2020-11-12 11:07:56	                main:574]	:	INFO	:	Epoch 89 | loss: 0.000569584 | val_loss: 0.000562381 | Time: 3003.6 ms
[2020-11-12 11:07:59	                main:574]	:	INFO	:	Epoch 90 | loss: 0.00053828 | val_loss: 0.000536304 | Time: 2939.1 ms
[2020-11-12 11:08:02	                main:574]	:	INFO	:	Epoch 91 | loss: 0.000509192 | val_loss: 0.000503471 | Time: 3059.2 ms
[2020-11-12 11:08:05	                main:574]	:	INFO	:	Epoch 92 | loss: 0.000481937 | val_loss: 0.000478865 | Time: 2928.19 ms
[2020-11-12 11:08:08	                main:574]	:	INFO	:	Epoch 93 | loss: 0.000456758 | val_loss: 0.000450791 | Time: 2917.64 ms
[2020-11-12 11:08:11	                main:574]	:	INFO	:	Epoch 94 | loss: 0.00043248 | val_loss: 0.000428596 | Time: 2945.97 ms
[2020-11-12 11:08:14	                main:574]	:	INFO	:	Epoch 95 | loss: 0.000408528 | val_loss: 0.000404363 | Time: 2936.96 ms
[2020-11-12 11:08:17	                main:574]	:	INFO	:	Epoch 96 | loss: 0.000388133 | val_loss: 0.000383471 | Time: 2994.32 ms
[2020-11-12 11:08:20	                main:574]	:	INFO	:	Epoch 97 | loss: 0.000369087 | val_loss: 0.00036421 | Time: 3240.61 ms
[2020-11-12 11:08:23	                main:574]	:	INFO	:	Epoch 98 | loss: 0.000348816 | val_loss: 0.000347565 | Time: 3223.85 ms
[2020-11-12 11:08:26	                main:574]	:	INFO	:	Epoch 99 | loss: 0.000331584 | val_loss: 0.000331526 | Time: 3155.23 ms
[2020-11-12 11:08:30	                main:574]	:	INFO	:	Epoch 100 | loss: 0.000314972 | val_loss: 0.00031034 | Time: 3126.63 ms
[2020-11-12 11:08:43	                main:574]	:	INFO	:	Epoch 101 | loss: 0.000299036 | val_loss: 0.000293069 | Time: 13212.7 ms
[2020-11-12 11:08:46	                main:574]	:	INFO	:	Epoch 102 | loss: 0.000284268 | val_loss: 0.000281383 | Time: 3044.41 ms
[2020-11-12 11:08:49	                main:574]	:	INFO	:	Epoch 103 | loss: 0.000269847 | val_loss: 0.000267844 | Time: 3313.33 ms
[2020-11-12 11:08:52	                main:574]	:	INFO	:	Epoch 104 | loss: 0.000256867 | val_loss: 0.000253741 | Time: 3155.23 ms
[2020-11-12 11:08:56	                main:574]	:	INFO	:	Epoch 105 | loss: 0.000244704 | val_loss: 0.000244166 | Time: 3462.75 ms
[2020-11-12 11:08:59	                main:574]	:	INFO	:	Epoch 106 | loss: 0.000233054 | val_loss: 0.000229516 | Time: 3027.49 ms
[2020-11-12 11:09:02	                main:574]	:	INFO	:	Epoch 107 | loss: 0.000221948 | val_loss: 0.000220869 | Time: 2969.19 ms
[2020-11-12 11:09:05	                main:574]	:	INFO	:	Epoch 108 | loss: 0.000211175 | val_loss: 0.000210123 | Time: 3055.28 ms
[2020-11-12 11:09:08	                main:574]	:	INFO	:	Epoch 109 | loss: 0.000201195 | val_loss: 0.000201168 | Time: 3452.38 ms
[2020-11-12 11:09:11	                main:574]	:	INFO	:	Epoch 110 | loss: 0.000191777 | val_loss: 0.000194474 | Time: 3065.75 ms
[2020-11-12 11:09:15	                main:574]	:	INFO	:	Epoch 111 | loss: 0.000183471 | val_loss: 0.000183055 | Time: 3078.05 ms
[2020-11-12 11:09:18	                main:574]	:	INFO	:	Epoch 112 | loss: 0.000175911 | val_loss: 0.000173638 | Time: 2997.46 ms
[2020-11-12 11:09:21	                main:574]	:	INFO	:	Epoch 113 | loss: 0.000167621 | val_loss: 0.000165477 | Time: 3001.01 ms
[2020-11-12 11:09:24	                main:574]	:	INFO	:	Epoch 114 | loss: 0.000160501 | val_loss: 0.000159789 | Time: 3021.95 ms
[2020-11-12 11:09:27	                main:574]	:	INFO	:	Epoch 115 | loss: 0.00015329 | val_loss: 0.000154032 | Time: 3018.28 ms
[2020-11-12 11:09:30	                main:574]	:	INFO	:	Epoch 116 | loss: 0.000147699 | val_loss: 0.000145193 | Time: 3065.53 ms
[2020-11-12 11:09:33	                main:574]	:	INFO	:	Epoch 117 | loss: 0.000140182 | val_loss: 0.000139542 | Time: 2967.75 ms
[2020-11-12 11:09:36	                main:574]	:	INFO	:	Epoch 118 | loss: 0.000134813 | val_loss: 0.000135268 | Time: 2965.75 ms
[2020-11-12 11:09:39	                main:574]	:	INFO	:	Epoch 119 | loss: 0.000130027 | val_loss: 0.000131495 | Time: 2947.06 ms
[2020-11-12 11:09:42	                main:574]	:	INFO	:	Epoch 120 | loss: 0.00012481 | val_loss: 0.000123987 | Time: 3012.5 ms
[2020-11-12 11:09:45	                main:574]	:	INFO	:	Epoch 121 | loss: 0.000119353 | val_loss: 0.000118048 | Time: 2981.78 ms
[2020-11-12 11:09:48	                main:574]	:	INFO	:	Epoch 122 | loss: 0.000114675 | val_loss: 0.000116272 | Time: 2931.81 ms
[2020-11-12 11:09:51	                main:574]	:	INFO	:	Epoch 123 | loss: 0.000110449 | val_loss: 0.000110564 | Time: 2967.99 ms
[2020-11-12 11:09:54	                main:574]	:	INFO	:	Epoch 124 | loss: 0.000107159 | val_loss: 0.000106841 | Time: 2940.49 ms
[2020-11-12 11:09:57	                main:574]	:	INFO	:	Epoch 125 | loss: 0.000102808 | val_loss: 0.000100581 | Time: 2952.64 ms
[2020-11-12 11:10:00	                main:574]	:	INFO	:	Epoch 126 | loss: 9.86317e-05 | val_loss: 9.83245e-05 | Time: 2985.32 ms
[2020-11-12 11:10:03	                main:574]	:	INFO	:	Epoch 127 | loss: 9.47548e-05 | val_loss: 9.48643e-05 | Time: 2966.76 ms
[2020-11-12 11:10:05	                main:574]	:	INFO	:	Epoch 128 | loss: 9.21769e-05 | val_loss: 9.30633e-05 | Time: 2940.84 ms
[2020-11-12 11:10:08	                main:574]	:	INFO	:	Epoch 129 | loss: 8.93806e-05 | val_loss: 8.82084e-05 | Time: 2966.16 ms
[2020-11-12 11:10:11	                main:574]	:	INFO	:	Epoch 130 | loss: 8.62096e-05 | val_loss: 8.59149e-05 | Time: 2951.35 ms
[2020-11-12 11:10:14	                main:574]	:	INFO	:	Epoch 131 | loss: 8.36496e-05 | val_loss: 8.30937e-05 | Time: 2929.34 ms
[2020-11-12 11:10:17	                main:574]	:	INFO	:	Epoch 132 | loss: 8.04372e-05 | val_loss: 8.2489e-05 | Time: 2932.07 ms
[2020-11-12 11:10:20	                main:574]	:	INFO	:	Epoch 133 | loss: 7.83446e-05 | val_loss: 7.78551e-05 | Time: 2970.82 ms
[2020-11-12 11:10:23	                main:574]	:	INFO	:	Epoch 134 | loss: 7.5505e-05 | val_loss: 7.42898e-05 | Time: 3015.25 ms
[2020-11-12 11:10:26	                main:574]	:	INFO	:	Epoch 135 | loss: 7.44279e-05 | val_loss: 7.43767e-05 | Time: 2945.79 ms
[2020-11-12 11:10:29	                main:574]	:	INFO	:	Epoch 136 | loss: 7.1507e-05 | val_loss: 7.07179e-05 | Time: 2899.6 ms
[2020-11-12 11:10:32	                main:574]	:	INFO	:	Epoch 137 | loss: 6.87023e-05 | val_loss: 6.9024e-05 | Time: 2939.08 ms
[2020-11-12 11:10:35	                main:574]	:	INFO	:	Epoch 138 | loss: 6.70654e-05 | val_loss: 6.57295e-05 | Time: 2936.48 ms
[2020-11-12 11:10:38	                main:574]	:	INFO	:	Epoch 139 | loss: 6.51393e-05 | val_loss: 6.60437e-05 | Time: 2908.2 ms
[2020-11-12 11:10:41	                main:574]	:	INFO	:	Epoch 140 | loss: 6.38717e-05 | val_loss: 6.30398e-05 | Time: 2954.73 ms
[2020-11-12 11:10:44	                main:574]	:	INFO	:	Epoch 141 | loss: 6.16001e-05 | val_loss: 6.19859e-05 | Time: 2894.36 ms
[2020-11-12 11:10:47	                main:574]	:	INFO	:	Epoch 142 | loss: 6.02663e-05 | val_loss: 6.08277e-05 | Time: 2937.36 ms
[2020-11-12 11:10:50	                main:574]	:	INFO	:	Epoch 143 | loss: 5.89072e-05 | val_loss: 5.96066e-05 | Time: 2939.65 ms
[2020-11-12 11:10:53	                main:574]	:	INFO	:	Epoch 144 | loss: 5.64727e-05 | val_loss: 5.80875e-05 | Time: 2938.79 ms
[2020-11-12 11:10:56	                main:574]	:	INFO	:	Epoch 145 | loss: 5.59845e-05 | val_loss: 5.53207e-05 | Time: 2939.05 ms
[2020-11-12 11:10:59	                main:574]	:	INFO	:	Epoch 146 | loss: 5.41733e-05 | val_loss: 5.46226e-05 | Time: 2937.25 ms
[2020-11-12 11:11:02	                main:574]	:	INFO	:	Epoch 147 | loss: 5.30246e-05 | val_loss: 5.29356e-05 | Time: 2942.61 ms
[2020-11-12 11:11:05	                main:574]	:	INFO	:	Epoch 148 | loss: 5.15491e-05 | val_loss: 5.32433e-05 | Time: 2909.61 ms
[2020-11-12 11:11:08	                main:574]	:	INFO	:	Epoch 149 | loss: 4.99091e-05 | val_loss: 5.11474e-05 | Time: 2963.42 ms
[2020-11-12 11:11:11	                main:574]	:	INFO	:	Epoch 150 | loss: 4.93058e-05 | val_loss: 4.8531e-05 | Time: 2915.48 ms
[2020-11-12 11:11:13	                main:574]	:	INFO	:	Epoch 151 | loss: 4.8594e-05 | val_loss: 4.81044e-05 | Time: 2959.88 ms
[2020-11-12 11:11:17	                main:574]	:	INFO	:	Epoch 152 | loss: 4.69062e-05 | val_loss: 4.83901e-05 | Time: 3581.76 ms
[2020-11-12 11:11:20	                main:574]	:	INFO	:	Epoch 153 | loss: 4.56708e-05 | val_loss: 4.91907e-05 | Time: 3003.86 ms
[2020-11-12 11:11:23	                main:574]	:	INFO	:	Epoch 154 | loss: 4.48564e-05 | val_loss: 4.54507e-05 | Time: 2966.95 ms
[2020-11-12 11:11:26	                main:574]	:	INFO	:	Epoch 155 | loss: 4.41522e-05 | val_loss: 4.46513e-05 | Time: 3002.25 ms
[2020-11-12 11:11:29	                main:574]	:	INFO	:	Epoch 156 | loss: 4.37441e-05 | val_loss: 4.26902e-05 | Time: 2937.77 ms
[2020-11-12 11:11:32	                main:574]	:	INFO	:	Epoch 157 | loss: 4.20343e-05 | val_loss: 4.17574e-05 | Time: 2985.65 ms
[2020-11-12 11:11:35	                main:574]	:	INFO	:	Epoch 158 | loss: 4.16009e-05 | val_loss: 4.23971e-05 | Time: 2944.69 ms
[2020-11-12 11:11:38	                main:574]	:	INFO	:	Epoch 159 | loss: 4.03446e-05 | val_loss: 4.12351e-05 | Time: 2935.46 ms
[2020-11-12 11:11:41	                main:574]	:	INFO	:	Epoch 160 | loss: 3.9622e-05 | val_loss: 3.88571e-05 | Time: 2929.35 ms
[2020-11-12 11:11:44	                main:574]	:	INFO	:	Epoch 161 | loss: 3.86867e-05 | val_loss: 4.30525e-05 | Time: 2993.57 ms
[2020-11-12 11:11:47	                main:574]	:	INFO	:	Epoch 162 | loss: 3.8578e-05 | val_loss: 3.7364e-05 | Time: 3046.31 ms
[2020-11-12 11:11:50	                main:574]	:	INFO	:	Epoch 163 | loss: 3.69759e-05 | val_loss: 3.73213e-05 | Time: 3006.88 ms
[2020-11-12 11:11:53	                main:574]	:	INFO	:	Epoch 164 | loss: 3.65014e-05 | val_loss: 3.73182e-05 | Time: 2957.55 ms
[2020-11-12 11:11:56	                main:574]	:	INFO	:	Epoch 165 | loss: 3.57601e-05 | val_loss: 3.51949e-05 | Time: 2919.9 ms
[2020-11-12 11:11:59	                main:574]	:	INFO	:	Epoch 166 | loss: 3.53324e-05 | val_loss: 3.5097e-05 | Time: 3030.64 ms
[2020-11-12 11:12:02	                main:574]	:	INFO	:	Epoch 167 | loss: 3.47415e-05 | val_loss: 3.48297e-05 | Time: 3159.54 ms
[2020-11-12 11:12:05	                main:574]	:	INFO	:	Epoch 168 | loss: 3.39166e-05 | val_loss: 3.53635e-05 | Time: 3093.97 ms
[2020-11-12 11:12:08	                main:574]	:	INFO	:	Epoch 169 | loss: 3.35441e-05 | val_loss: 3.45915e-05 | Time: 3093.93 ms
[2020-11-12 11:12:11	                main:574]	:	INFO	:	Epoch 170 | loss: 3.25615e-05 | val_loss: 3.41503e-05 | Time: 3077.57 ms
[2020-11-12 11:12:14	                main:574]	:	INFO	:	Epoch 171 | loss: 3.21956e-05 | val_loss: 3.23969e-05 | Time: 3057.1 ms
[2020-11-12 11:12:17	                main:574]	:	INFO	:	Epoch 172 | loss: 3.17831e-05 | val_loss: 3.12682e-05 | Time: 3010.7 ms
[2020-11-12 11:12:21	                main:574]	:	INFO	:	Epoch 173 | loss: 3.10219e-05 | val_loss: 3.17975e-05 | Time: 3049.79 ms
[2020-11-12 11:12:24	                main:574]	:	INFO	:	Epoch 174 | loss: 3.06253e-05 | val_loss: 3.15455e-05 | Time: 3244.2 ms
[2020-11-12 11:12:27	                main:574]	:	INFO	:	Epoch 175 | loss: 3.0201e-05 | val_loss: 3.02644e-05 | Time: 3063.16 ms
[2020-11-12 11:12:30	                main:574]	:	INFO	:	Epoch 176 | loss: 2.94326e-05 | val_loss: 2.95063e-05 | Time: 3006.67 ms
[2020-11-12 11:12:33	                main:574]	:	INFO	:	Epoch 177 | loss: 2.94601e-05 | val_loss: 2.96131e-05 | Time: 3062.29 ms
[2020-11-12 11:12:36	                main:574]	:	INFO	:	Epoch 178 | loss: 2.89893e-05 | val_loss: 2.86201e-05 | Time: 3029.83 ms
[2020-11-12 11:12:40	                main:574]	:	INFO	:	Epoch 179 | loss: 2.85125e-05 | val_loss: 2.88643e-05 | Time: 3548.79 ms
[2020-11-12 11:12:43	                main:574]	:	INFO	:	Epoch 180 | loss: 2.78343e-05 | val_loss: 2.97875e-05 | Time: 2979.58 ms
[2020-11-12 11:12:46	                main:574]	:	INFO	:	Epoch 181 | loss: 2.78124e-05 | val_loss: 3.24105e-05 | Time: 2992.06 ms
[2020-11-12 11:12:49	                main:574]	:	INFO	:	Epoch 182 | loss: 2.72737e-05 | val_loss: 2.60117e-05 | Time: 2981.42 ms
[2020-11-12 11:12:52	                main:574]	:	INFO	:	Epoch 183 | loss: 2.69866e-05 | val_loss: 2.56076e-05 | Time: 2960.64 ms
[2020-11-12 11:12:55	                main:574]	:	INFO	:	Epoch 184 | loss: 2.57573e-05 | val_loss: 2.57905e-05 | Time: 2962.58 ms
[2020-11-12 11:12:58	                main:574]	:	INFO	:	Epoch 185 | loss: 2.55859e-05 | val_loss: 2.54693e-05 | Time: 3258.66 ms
[2020-11-12 11:13:01	                main:574]	:	INFO	:	Epoch 186 | loss: 2.58073e-05 | val_loss: 2.47648e-05 | Time: 3238.69 ms
[2020-11-12 11:13:04	                main:574]	:	INFO	:	Epoch 187 | loss: 2.47831e-05 | val_loss: 2.51155e-05 | Time: 3021.36 ms
[2020-11-12 11:13:08	                main:574]	:	INFO	:	Epoch 188 | loss: 2.43609e-05 | val_loss: 2.41702e-05 | Time: 3402.19 ms
[2020-11-12 11:13:11	                main:574]	:	INFO	:	Epoch 189 | loss: 2.48948e-05 | val_loss: 2.46511e-05 | Time: 3517.69 ms
[2020-11-12 11:13:14	                main:574]	:	INFO	:	Epoch 190 | loss: 2.44411e-05 | val_loss: 2.61318e-05 | Time: 3145.94 ms
[2020-11-12 11:13:17	                main:574]	:	INFO	:	Epoch 191 | loss: 2.41089e-05 | val_loss: 2.2833e-05 | Time: 3042.6 ms
[2020-11-12 11:13:20	                main:574]	:	INFO	:	Epoch 192 | loss: 2.34259e-05 | val_loss: 2.28208e-05 | Time: 3107.1 ms
[2020-11-12 11:13:20	                main:597]	:	INFO	:	Saving trained model to model-final.pt, val_loss 2.28208e-05
[2020-11-12 11:13:20	                main:603]	:	INFO	:	Saving end state to config to file
[2020-11-12 11:13:20	                main:608]	:	INFO	:	Success, exiting..
11:13:20 (9308): 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)