| Name | rand_automata_0086-1604984851-1449-0_1 |
| Workunit | 1264438 |
| Created | 10 Nov 2020, 5:24:13 UTC |
| Sent | 10 Nov 2020, 5:32:43 UTC |
| Report deadline | 11 Nov 2020, 4:02:43 UTC |
| Received | 10 Nov 2020, 18:17:29 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 563 |
| Run time | 23 min 14 sec |
| CPU time | 22 min 38 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 |
<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 18:54:23 main:435] : INFO : Set logging level to 1 [2020-11-10 18:54:23 main:441] : INFO : Running in BOINC Client mode [2020-11-10 18:54:23 main:444] : INFO : Resolving all filenames [2020-11-10 18:54:23 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0086-train-val-dataset.hdf5 (exists = 1) [2020-11-10 18:54:23 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0086-1604984851-1449-0_1_r1795668109_1 (exists = 0) [2020-11-10 18:54:23 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0086-1604984851-1449-0_1_r1795668109_0 (exists = 0) [2020-11-10 18:54:23 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-10 18:54:23 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-10 18:54:23 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0086-train-val-dataset.hdf5 [2020-11-10 18:54:23 main:474] : INFO : Configuration: [2020-11-10 18:54:23 main:475] : INFO : Model type: LSTM [2020-11-10 18:54:23 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-10 18:54:23 main:477] : INFO : Max Epochs: 192 [2020-11-10 18:54:23 main:478] : INFO : Batch Size: 32 [2020-11-10 18:54:23 main:479] : INFO : Learning Rate: 0.001 [2020-11-10 18:54:23 main:480] : INFO : Patience: 10 [2020-11-10 18:54:24 main:481] : INFO : Hidden Width: 64 [2020-11-10 18:54:24 main:482] : INFO : # Recurrent Layers: 4 [2020-11-10 18:54:24 main:483] : INFO : # Backend Layers: 2 [2020-11-10 18:54:24 main:484] : INFO : # Threads: 1 [2020-11-10 18:54:24 main:486] : INFO : Preparing Dataset [2020-11-10 18:54:24 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0086-train-val-dataset.hdf5 into memory [2020-11-10 18:54:24 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0086-train-val-dataset.hdf5 into memory [2020-11-10 18:54:26 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-10 18:54:26 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0086-train-val-dataset.hdf5 into memory [2020-11-10 18:54:26 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0086-train-val-dataset.hdf5 into memory [2020-11-10 18:54:26 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-10 18:54:26 main:494] : INFO : Creating Model [2020-11-10 18:54:26 main:507] : INFO : Preparing config file [2020-11-10 18:54:26 main:519] : INFO : Creating new config file [2020-11-10 18:54:27 main:559] : INFO : Loading DataLoader into Memory [2020-11-10 18:54:27 main:562] : INFO : Starting Training [2020-11-10 18:54:35 main:574] : INFO : Epoch 1 | loss: 0.0657491 | val_loss: 0.0655919 | Time: 7422.8 ms [2020-11-10 18:54:42 main:574] : INFO : Epoch 2 | loss: 0.06378 | val_loss: 0.0611347 | Time: 7051.93 ms [2020-11-10 18:54:49 main:574] : INFO : Epoch 3 | loss: 0.0594184 | val_loss: 0.0573549 | Time: 7049.58 ms [2020-11-10 18:54:56 main:574] : INFO : Epoch 4 | loss: 0.0556563 | val_loss: 0.0544157 | Time: 7025.05 ms [2020-11-10 18:55:03 main:574] : INFO : Epoch 5 | loss: 0.0532224 | val_loss: 0.0524463 | Time: 7161.78 ms [2020-11-10 18:55:10 main:574] : INFO : Epoch 6 | loss: 0.0514009 | val_loss: 0.0508447 | Time: 7171.1 ms [2020-11-10 18:55:18 main:574] : INFO : Epoch 7 | loss: 0.0498455 | val_loss: 0.0492856 | Time: 7110.99 ms [2020-11-10 18:55:25 main:574] : INFO : Epoch 8 | loss: 0.0483224 | val_loss: 0.0479277 | Time: 7045.88 ms [2020-11-10 18:55:32 main:574] : INFO : Epoch 9 | loss: 0.0468564 | val_loss: 0.0465664 | Time: 7073.04 ms [2020-11-10 18:55:39 main:574] : INFO : Epoch 10 | loss: 0.0453122 | val_loss: 0.0451967 | Time: 7099.24 ms [2020-11-10 18:55:46 main:574] : INFO : Epoch 11 | loss: 0.0437488 | val_loss: 0.0437145 | Time: 7033.1 ms [2020-11-10 18:55:53 main:574] : INFO : Epoch 12 | loss: 0.0421537 | val_loss: 0.0420589 | Time: 7011.32 ms [2020-11-10 18:56:00 main:574] : INFO : Epoch 13 | loss: 0.0404466 | val_loss: 0.0406326 | Time: 6997.55 ms [2020-11-10 18:56:07 main:574] : INFO : Epoch 14 | loss: 0.0386481 | val_loss: 0.0384895 | Time: 7083.84 ms [2020-11-10 18:56:14 main:574] : INFO : Epoch 15 | loss: 0.0364645 | val_loss: 0.036714 | Time: 7085.48 ms [2020-11-10 18:56:22 main:574] : INFO : Epoch 16 | loss: 0.0343043 | val_loss: 0.0345186 | Time: 7116.61 ms [2020-11-10 18:56:29 main:574] : INFO : Epoch 17 | loss: 0.0317137 | val_loss: 0.0316119 | Time: 7066.48 ms [2020-11-10 18:56:36 main:574] : INFO : Epoch 18 | loss: 0.0292445 | val_loss: 0.0293864 | Time: 7097.07 ms [2020-11-10 18:56:43 main:574] : INFO : Epoch 19 | loss: 0.0291714 | val_loss: 0.0363759 | Time: 7122.34 ms [2020-11-10 18:56:50 main:574] : INFO : Epoch 20 | loss: 0.0249481 | val_loss: 0.022898 | Time: 7055.82 ms [2020-11-10 18:56:57 main:574] : INFO : Epoch 21 | loss: 0.0212101 | val_loss: 0.0238764 | Time: 7128.6 ms [2020-11-10 18:57:04 main:574] : INFO : Epoch 22 | loss: 0.0201239 | val_loss: 0.0205846 | Time: 7109.37 ms [2020-11-10 18:57:12 main:574] : INFO : Epoch 23 | loss: 0.0186859 | val_loss: 0.0263347 | Time: 7026.93 ms [2020-11-10 18:57:19 main:574] : INFO : Epoch 24 | loss: 0.0149595 | val_loss: 0.0133605 | Time: 7060.35 ms [2020-11-10 18:57:26 main:574] : INFO : Epoch 25 | loss: 0.0117623 | val_loss: 0.01139 | Time: 6981.95 ms [2020-11-10 18:57:33 main:574] : INFO : Epoch 26 | loss: 0.0121825 | val_loss: 0.0161698 | Time: 6996.45 ms [2020-11-10 18:57:40 main:574] : INFO : Epoch 27 | loss: 0.0108695 | val_loss: 0.00974962 | Time: 7018.59 ms [2020-11-10 18:57:47 main:574] : INFO : Epoch 28 | loss: 0.00877779 | val_loss: 0.00865653 | Time: 7005.01 ms [2020-11-10 18:57:54 main:574] : INFO : Epoch 29 | loss: 0.00790067 | val_loss: 0.00804885 | Time: 7124.99 ms [2020-11-10 18:58:01 main:574] : INFO : Epoch 30 | loss: 0.00730306 | val_loss: 0.00768184 | Time: 7125.67 ms [2020-11-10 18:58:08 main:574] : INFO : Epoch 31 | loss: 0.00693235 | val_loss: 0.00725089 | Time: 7016.16 ms [2020-11-10 18:58:15 main:574] : INFO : Epoch 32 | loss: 0.00652553 | val_loss: 0.00697199 | Time: 7103.97 ms [2020-11-10 18:58:22 main:574] : INFO : Epoch 33 | loss: 0.00614632 | val_loss: 0.00624389 | Time: 7001.59 ms [2020-11-10 18:58:30 main:574] : INFO : Epoch 34 | loss: 0.0058018 | val_loss: 0.00596965 | Time: 6995.28 ms [2020-11-10 18:58:37 main:574] : INFO : Epoch 35 | loss: 0.00551783 | val_loss: 0.00562308 | Time: 6978.37 ms [2020-11-10 18:58:44 main:574] : INFO : Epoch 36 | loss: 0.0052468 | val_loss: 0.00532435 | Time: 7079.12 ms [2020-11-10 18:58:51 main:574] : INFO : Epoch 37 | loss: 0.00499312 | val_loss: 0.00505061 | Time: 7086.81 ms [2020-11-10 18:58:58 main:574] : INFO : Epoch 38 | loss: 0.00474918 | val_loss: 0.00476466 | Time: 7115.2 ms [2020-11-10 18:59:05 main:574] : INFO : Epoch 39 | loss: 0.00451966 | val_loss: 0.00451801 | Time: 7080.4 ms [2020-11-10 18:59:12 main:574] : INFO : Epoch 40 | loss: 0.00430049 | val_loss: 0.00429206 | Time: 7192.75 ms [2020-11-10 18:59:19 main:574] : INFO : Epoch 41 | loss: 0.00409662 | val_loss: 0.00437046 | Time: 7144.18 ms [2020-11-10 18:59:27 main:574] : INFO : Epoch 42 | loss: 0.00391939 | val_loss: 0.00386676 | Time: 7129.62 ms [2020-11-10 18:59:34 main:574] : INFO : Epoch 43 | loss: 0.00370149 | val_loss: 0.00368664 | Time: 7068.17 ms [2020-11-10 18:59:41 main:574] : INFO : Epoch 44 | loss: 0.00352068 | val_loss: 0.00350853 | Time: 7036.04 ms [2020-11-10 18:59:48 main:574] : INFO : Epoch 45 | loss: 0.00334853 | val_loss: 0.00330556 | Time: 7081.89 ms [2020-11-10 18:59:55 main:574] : INFO : Epoch 46 | loss: 0.00318531 | val_loss: 0.00313767 | Time: 7050.84 ms [2020-11-10 19:00:02 main:574] : INFO : Epoch 47 | loss: 0.00302867 | val_loss: 0.00297863 | Time: 7182.87 ms [2020-11-10 19:00:09 main:574] : INFO : Epoch 48 | loss: 0.00287795 | val_loss: 0.00282673 | Time: 7161.19 ms [2020-11-10 19:00:17 main:574] : INFO : Epoch 49 | loss: 0.00273649 | val_loss: 0.00268363 | Time: 7112.16 ms [2020-11-10 19:00:24 main:574] : INFO : Epoch 50 | loss: 0.00260096 | val_loss: 0.00255033 | Time: 7171.03 ms [2020-11-10 19:00:31 main:574] : INFO : Epoch 51 | loss: 0.00247138 | val_loss: 0.00242 | Time: 6971.45 ms [2020-11-10 19:00:38 main:574] : INFO : Epoch 52 | loss: 0.0023488 | val_loss: 0.00230062 | Time: 6924.25 ms [2020-11-10 19:00:45 main:574] : INFO : Epoch 53 | loss: 0.00223296 | val_loss: 0.00218547 | Time: 7039.1 ms [2020-11-10 19:00:52 main:574] : INFO : Epoch 54 | loss: 0.00212197 | val_loss: 0.00208027 | Time: 6974.79 ms [2020-11-10 19:00:59 main:574] : INFO : Epoch 55 | loss: 0.00201678 | val_loss: 0.00197544 | Time: 7084.21 ms [2020-11-10 19:01:06 main:574] : INFO : Epoch 56 | loss: 0.00191697 | val_loss: 0.00187419 | Time: 7137.95 ms [2020-11-10 19:01:13 main:574] : INFO : Epoch 57 | loss: 0.00182324 | val_loss: 0.0017818 | Time: 7203.79 ms [2020-11-10 19:01:21 main:574] : INFO : Epoch 58 | loss: 0.00173371 | val_loss: 0.00169629 | Time: 7246.07 ms [2020-11-10 19:01:28 main:574] : INFO : Epoch 59 | loss: 0.00164856 | val_loss: 0.00161165 | Time: 7141.45 ms [2020-11-10 19:01:35 main:574] : INFO : Epoch 60 | loss: 0.00156784 | val_loss: 0.00153075 | Time: 7005.52 ms [2020-11-10 19:01:42 main:574] : INFO : Epoch 61 | loss: 0.00148973 | val_loss: 0.00145232 | Time: 7101.23 ms [2020-11-10 19:01:49 main:574] : INFO : Epoch 62 | loss: 0.00141793 | val_loss: 0.00138611 | Time: 6954.6 ms [2020-11-10 19:01:56 main:574] : INFO : Epoch 63 | loss: 0.0013482 | val_loss: 0.00131458 | Time: 6932.12 ms [2020-11-10 19:02:03 main:574] : INFO : Epoch 64 | loss: 0.00128226 | val_loss: 0.00124969 | Time: 7124.25 ms [2020-11-10 19:02:10 main:574] : INFO : Epoch 65 | loss: 0.0012201 | val_loss: 0.00119091 | Time: 7098.91 ms [2020-11-10 19:02:17 main:574] : INFO : Epoch 66 | loss: 0.00115995 | val_loss: 0.00113052 | Time: 7192.74 ms [2020-11-10 19:02:24 main:574] : INFO : Epoch 67 | loss: 0.00110333 | val_loss: 0.00107501 | Time: 7091.88 ms [2020-11-10 19:02:32 main:574] : INFO : Epoch 68 | loss: 0.00104773 | val_loss: 0.00102046 | Time: 7171.34 ms [2020-11-10 19:02:39 main:574] : INFO : Epoch 69 | loss: 0.000997165 | val_loss: 0.000971897 | Time: 7199.07 ms [2020-11-10 19:02:46 main:574] : INFO : Epoch 70 | loss: 0.000946781 | val_loss: 0.000927 | Time: 7126.11 ms [2020-11-10 19:02:53 main:574] : INFO : Epoch 71 | loss: 0.000900425 | val_loss: 0.000878696 | Time: 7096.45 ms [2020-11-10 19:03:00 main:574] : INFO : Epoch 72 | loss: 0.000855516 | val_loss: 0.000832608 | Time: 7110.98 ms [2020-11-10 19:03:08 main:574] : INFO : Epoch 73 | loss: 0.000812809 | val_loss: 0.000791184 | Time: 7091.29 ms [2020-11-10 19:03:15 main:574] : INFO : Epoch 74 | loss: 0.000772073 | val_loss: 0.000750401 | Time: 7058.96 ms [2020-11-10 19:03:22 main:574] : INFO : Epoch 75 | loss: 0.000732496 | val_loss: 0.000716819 | Time: 6951.63 ms [2020-11-10 19:03:29 main:574] : INFO : Epoch 76 | loss: 0.000696688 | val_loss: 0.000679668 | Time: 6927.91 ms [2020-11-10 19:03:36 main:574] : INFO : Epoch 77 | loss: 0.000661674 | val_loss: 0.000646045 | Time: 7089.86 ms [2020-11-10 19:03:43 main:574] : INFO : Epoch 78 | loss: 0.000628152 | val_loss: 0.00061335 | Time: 7174.76 ms [2020-11-10 19:03:50 main:574] : INFO : Epoch 79 | loss: 0.000598072 | val_loss: 0.000583643 | Time: 6982.64 ms [2020-11-10 19:03:57 main:574] : INFO : Epoch 80 | loss: 0.000568377 | val_loss: 0.000554879 | Time: 6967.47 ms [2020-11-10 19:04:04 main:574] : INFO : Epoch 81 | loss: 0.000541388 | val_loss: 0.000529284 | Time: 6859.16 ms [2020-11-10 19:04:11 main:574] : INFO : Epoch 82 | loss: 0.000514767 | val_loss: 0.000505891 | Time: 6967.07 ms [2020-11-10 19:04:18 main:574] : INFO : Epoch 83 | loss: 0.000490327 | val_loss: 0.000481804 | Time: 7134.27 ms [2020-11-10 19:04:25 main:574] : INFO : Epoch 84 | loss: 0.000466509 | val_loss: 0.000458594 | Time: 6994.95 ms [2020-11-10 19:04:32 main:574] : INFO : Epoch 85 | loss: 0.000445073 | val_loss: 0.00043599 | Time: 6992.91 ms [2020-11-10 19:04:39 main:574] : INFO : Epoch 86 | loss: 0.000423829 | val_loss: 0.000416059 | Time: 7104.44 ms [2020-11-10 19:04:46 main:574] : INFO : Epoch 87 | loss: 0.000404991 | val_loss: 0.000398514 | Time: 7086.79 ms [2020-11-10 19:04:54 main:574] : INFO : Epoch 88 | loss: 0.00038656 | val_loss: 0.000378745 | Time: 7147.5 ms [2020-11-10 19:05:01 main:574] : INFO : Epoch 89 | loss: 0.00036875 | val_loss: 0.000363297 | Time: 7050.25 ms [2020-11-10 19:05:08 main:574] : INFO : Epoch 90 | loss: 0.00035241 | val_loss: 0.00034806 | Time: 7054.45 ms [2020-11-10 19:05:15 main:574] : INFO : Epoch 91 | loss: 0.000336551 | val_loss: 0.000332091 | Time: 7212.6 ms [2020-11-10 19:05:22 main:574] : INFO : Epoch 92 | loss: 0.00032153 | val_loss: 0.000315475 | Time: 6945 ms [2020-11-10 19:05:29 main:574] : INFO : Epoch 93 | loss: 0.000307896 | val_loss: 0.000301746 | Time: 6992.54 ms [2020-11-10 19:05:36 main:574] : INFO : Epoch 94 | loss: 0.000294301 | val_loss: 0.000289661 | Time: 7059.78 ms [2020-11-10 19:05:43 main:574] : INFO : Epoch 95 | loss: 0.000281429 | val_loss: 0.000276549 | Time: 7038.25 ms [2020-11-10 19:05:50 main:574] : INFO : Epoch 96 | loss: 0.000269795 | val_loss: 0.000266703 | Time: 7009.61 ms [2020-11-10 19:05:58 main:574] : INFO : Epoch 97 | loss: 0.000258088 | val_loss: 0.000254129 | Time: 7120.69 ms [2020-11-10 19:06:05 main:574] : INFO : Epoch 98 | loss: 0.000248775 | val_loss: 0.000244393 | Time: 7107.89 ms [2020-11-10 19:06:12 main:574] : INFO : Epoch 99 | loss: 0.00023803 | val_loss: 0.000236556 | Time: 7237.34 ms [2020-11-10 19:06:19 main:574] : INFO : Epoch 100 | loss: 0.00022925 | val_loss: 0.000225669 | Time: 7154.72 ms [2020-11-10 19:06:27 main:574] : INFO : Epoch 101 | loss: 0.000219297 | val_loss: 0.000221075 | Time: 7209.06 ms [2020-11-10 19:06:34 main:574] : INFO : Epoch 102 | loss: 0.000211658 | val_loss: 0.00020775 | Time: 7190.09 ms [2020-11-10 19:06:41 main:574] : INFO : Epoch 103 | loss: 0.000202619 | val_loss: 0.000200752 | Time: 7067.67 ms [2020-11-10 19:06:48 main:574] : INFO : Epoch 104 | loss: 0.000195739 | val_loss: 0.000192792 | Time: 7090.96 ms [2020-11-10 19:06:55 main:574] : INFO : Epoch 105 | loss: 0.000188103 | val_loss: 0.000185879 | Time: 6917.82 ms [2020-11-10 19:07:02 main:574] : INFO : Epoch 106 | loss: 0.0001812 | val_loss: 0.000179734 | Time: 6928.64 ms [2020-11-10 19:07:09 main:574] : INFO : Epoch 107 | loss: 0.000174399 | val_loss: 0.000172495 | Time: 7004.98 ms [2020-11-10 19:07:16 main:574] : INFO : Epoch 108 | loss: 0.00016806 | val_loss: 0.000166397 | Time: 7218.3 ms [2020-11-10 19:07:23 main:574] : INFO : Epoch 109 | loss: 0.000161771 | val_loss: 0.000161997 | Time: 7143.9 ms [2020-11-10 19:07:30 main:574] : INFO : Epoch 110 | loss: 0.000156941 | val_loss: 0.000154102 | Time: 7047.05 ms [2020-11-10 19:07:37 main:574] : INFO : Epoch 111 | loss: 0.000150939 | val_loss: 0.00014937 | Time: 7051.87 ms [2020-11-10 19:07:45 main:574] : INFO : Epoch 112 | loss: 0.000146044 | val_loss: 0.000146518 | Time: 7088.09 ms [2020-11-10 19:07:52 main:574] : INFO : Epoch 113 | loss: 0.000140926 | val_loss: 0.000142321 | Time: 7039.8 ms [2020-11-10 19:07:59 main:574] : INFO : Epoch 114 | loss: 0.000137045 | val_loss: 0.000135394 | Time: 7055.98 ms [2020-11-10 19:08:06 main:574] : INFO : Epoch 115 | loss: 0.00013157 | val_loss: 0.000131001 | Time: 7118.87 ms [2020-11-10 19:08:13 main:574] : INFO : Epoch 116 | loss: 0.000127778 | val_loss: 0.000127366 | Time: 7183.97 ms [2020-11-10 19:08:21 main:574] : INFO : Epoch 117 | loss: 0.000123379 | val_loss: 0.000126171 | Time: 7270.53 ms [2020-11-10 19:08:28 main:574] : INFO : Epoch 118 | loss: 0.000119745 | val_loss: 0.000118984 | Time: 7221.86 ms [2020-11-10 19:08:35 main:574] : INFO : Epoch 119 | loss: 0.000115412 | val_loss: 0.000115242 | Time: 7122.96 ms [2020-11-10 19:08:42 main:574] : INFO : Epoch 120 | loss: 0.000112062 | val_loss: 0.00011073 | Time: 7053.69 ms [2020-11-10 19:08:49 main:574] : INFO : Epoch 121 | loss: 0.000108677 | val_loss: 0.00010771 | Time: 7066.03 ms [2020-11-10 19:08:56 main:574] : INFO : Epoch 122 | loss: 0.000105105 | val_loss: 0.000104558 | Time: 6977.34 ms [2020-11-10 19:09:03 main:574] : INFO : Epoch 123 | loss: 0.000101671 | val_loss: 0.000101375 | Time: 7082.9 ms [2020-11-10 19:09:10 main:574] : INFO : Epoch 124 | loss: 9.92966e-05 | val_loss: 9.75272e-05 | Time: 7089.46 ms [2020-11-10 19:09:18 main:574] : INFO : Epoch 125 | loss: 9.66138e-05 | val_loss: 9.77944e-05 | Time: 7184.54 ms [2020-11-10 19:09:25 main:574] : INFO : Epoch 126 | loss: 9.36163e-05 | val_loss: 9.38453e-05 | Time: 7084.64 ms [2020-11-10 19:09:32 main:574] : INFO : Epoch 127 | loss: 9.1485e-05 | val_loss: 9.05298e-05 | Time: 7193.88 ms [2020-11-10 19:09:39 main:574] : INFO : Epoch 128 | loss: 8.83586e-05 | val_loss: 8.68396e-05 | Time: 7121.02 ms [2020-11-10 19:09:46 main:574] : INFO : Epoch 129 | loss: 8.6288e-05 | val_loss: 8.68796e-05 | Time: 7068.55 ms [2020-11-10 19:09:53 main:574] : INFO : Epoch 130 | loss: 8.35976e-05 | val_loss: 8.39629e-05 | Time: 6975.21 ms [2020-11-10 19:10:00 main:574] : INFO : Epoch 131 | loss: 8.13195e-05 | val_loss: 8.06643e-05 | Time: 7141.77 ms [2020-11-10 19:10:08 main:574] : INFO : Epoch 132 | loss: 7.92728e-05 | val_loss: 7.88413e-05 | Time: 7145.86 ms [2020-11-10 19:10:15 main:574] : INFO : Epoch 133 | loss: 7.72079e-05 | val_loss: 7.62949e-05 | Time: 7042.73 ms [2020-11-10 19:10:22 main:574] : INFO : Epoch 134 | loss: 7.5465e-05 | val_loss: 7.42747e-05 | Time: 7106.31 ms [2020-11-10 19:10:29 main:574] : INFO : Epoch 135 | loss: 7.35913e-05 | val_loss: 7.35389e-05 | Time: 7128 ms [2020-11-10 19:10:36 main:574] : INFO : Epoch 136 | loss: 7.20158e-05 | val_loss: 7.0993e-05 | Time: 7057.1 ms [2020-11-10 19:10:43 main:574] : INFO : Epoch 137 | loss: 6.99497e-05 | val_loss: 6.97936e-05 | Time: 7037.66 ms [2020-11-10 19:10:50 main:574] : INFO : Epoch 138 | loss: 6.86339e-05 | val_loss: 6.85342e-05 | Time: 7072 ms [2020-11-10 19:10:57 main:574] : INFO : Epoch 139 | loss: 6.67851e-05 | val_loss: 6.67876e-05 | Time: 7077.48 ms [2020-11-10 19:11:04 main:574] : INFO : Epoch 140 | loss: 6.50539e-05 | val_loss: 6.48081e-05 | Time: 7116.88 ms [2020-11-10 19:11:12 main:574] : INFO : Epoch 141 | loss: 6.37222e-05 | val_loss: 6.30696e-05 | Time: 7137.3 ms [2020-11-10 19:11:19 main:574] : INFO : Epoch 142 | loss: 6.27244e-05 | val_loss: 6.28173e-05 | Time: 7117.4 ms [2020-11-10 19:11:26 main:574] : INFO : Epoch 143 | loss: 6.15395e-05 | val_loss: 6.1811e-05 | Time: 7172.38 ms [2020-11-10 19:11:33 main:574] : INFO : Epoch 144 | loss: 5.96833e-05 | val_loss: 5.90129e-05 | Time: 7139.02 ms [2020-11-10 19:11:40 main:574] : INFO : Epoch 145 | loss: 5.78564e-05 | val_loss: 5.77227e-05 | Time: 7055.14 ms [2020-11-10 19:11:47 main:574] : INFO : Epoch 146 | loss: 5.75505e-05 | val_loss: 5.73611e-05 | Time: 7088.8 ms [2020-11-10 19:11:54 main:574] : INFO : Epoch 147 | loss: 5.66136e-05 | val_loss: 5.66059e-05 | Time: 7088.5 ms [2020-11-10 19:12:01 main:574] : INFO : Epoch 148 | loss: 5.49802e-05 | val_loss: 5.56087e-05 | Time: 6939.71 ms [2020-11-10 19:12:09 main:574] : INFO : Epoch 149 | loss: 5.37049e-05 | val_loss: 5.42863e-05 | Time: 7049.93 ms [2020-11-10 19:12:16 main:574] : INFO : Epoch 150 | loss: 5.32809e-05 | val_loss: 5.26961e-05 | Time: 7014.38 ms [2020-11-10 19:12:23 main:574] : INFO : Epoch 151 | loss: 5.18459e-05 | val_loss: 5.20707e-05 | Time: 7081.1 ms [2020-11-10 19:12:30 main:574] : INFO : Epoch 152 | loss: 5.11669e-05 | val_loss: 5.08896e-05 | Time: 7074.15 ms [2020-11-10 19:12:37 main:574] : INFO : Epoch 153 | loss: 5.00509e-05 | val_loss: 5.02962e-05 | Time: 7087.79 ms [2020-11-10 19:12:44 main:574] : INFO : Epoch 154 | loss: 4.9578e-05 | val_loss: 4.97484e-05 | Time: 7049.78 ms [2020-11-10 19:12:51 main:574] : INFO : Epoch 155 | loss: 4.82602e-05 | val_loss: 4.78228e-05 | Time: 7151.58 ms [2020-11-10 19:12:58 main:574] : INFO : Epoch 156 | loss: 4.71359e-05 | val_loss: 4.68009e-05 | Time: 7018.32 ms [2020-11-10 19:13:05 main:574] : INFO : Epoch 157 | loss: 4.6594e-05 | val_loss: 4.73189e-05 | Time: 7055.36 ms [2020-11-10 19:13:12 main:574] : INFO : Epoch 158 | loss: 4.59425e-05 | val_loss: 4.97622e-05 | Time: 6983.42 ms [2020-11-10 19:13:19 main:574] : INFO : Epoch 159 | loss: 4.52117e-05 | val_loss: 4.71989e-05 | Time: 6951.13 ms [2020-11-10 19:13:26 main:574] : INFO : Epoch 160 | loss: 4.38972e-05 | val_loss: 4.44576e-05 | Time: 7063.47 ms [2020-11-10 19:13:34 main:574] : INFO : Epoch 161 | loss: 4.35612e-05 | val_loss: 4.47991e-05 | Time: 7085.47 ms [2020-11-10 19:13:41 main:574] : INFO : Epoch 162 | loss: 4.29829e-05 | val_loss: 4.22464e-05 | Time: 7111.24 ms [2020-11-10 19:13:48 main:574] : INFO : Epoch 163 | loss: 4.22076e-05 | val_loss: 4.26306e-05 | Time: 7086.85 ms [2020-11-10 19:13:55 main:574] : INFO : Epoch 164 | loss: 4.17999e-05 | val_loss: 4.2073e-05 | Time: 7079.02 ms [2020-11-10 19:14:02 main:574] : INFO : Epoch 165 | loss: 4.06191e-05 | val_loss: 4.09938e-05 | Time: 7074.71 ms [2020-11-10 19:14:09 main:574] : INFO : Epoch 166 | loss: 4.03709e-05 | val_loss: 4.02003e-05 | Time: 6924.09 ms [2020-11-10 19:14:16 main:574] : INFO : Epoch 167 | loss: 3.98966e-05 | val_loss: 4.21657e-05 | Time: 7086.1 ms [2020-11-10 19:14:23 main:574] : INFO : Epoch 168 | loss: 3.92627e-05 | val_loss: 3.91883e-05 | Time: 7010.16 ms [2020-11-10 19:14:30 main:574] : INFO : Epoch 169 | loss: 3.86325e-05 | val_loss: 3.77361e-05 | Time: 7113.68 ms [2020-11-10 19:14:37 main:574] : INFO : Epoch 170 | loss: 3.81538e-05 | val_loss: 3.81657e-05 | Time: 7015.98 ms [2020-11-10 19:14:44 main:574] : INFO : Epoch 171 | loss: 3.7465e-05 | val_loss: 3.67962e-05 | Time: 7078.16 ms [2020-11-10 19:14:51 main:574] : INFO : Epoch 172 | loss: 3.71545e-05 | val_loss: 3.65876e-05 | Time: 7016.6 ms [2020-11-10 19:14:59 main:574] : INFO : Epoch 173 | loss: 3.62205e-05 | val_loss: 3.55525e-05 | Time: 7009.44 ms [2020-11-10 19:15:06 main:574] : INFO : Epoch 174 | loss: 3.60706e-05 | val_loss: 3.75334e-05 | Time: 7074.69 ms [2020-11-10 19:15:13 main:574] : INFO : Epoch 175 | loss: 3.56462e-05 | val_loss: 3.56188e-05 | Time: 7174.08 ms [2020-11-10 19:15:20 main:574] : INFO : Epoch 176 | loss: 3.49236e-05 | val_loss: 3.60768e-05 | Time: 7214.86 ms [2020-11-10 19:15:27 main:574] : INFO : Epoch 177 | loss: 3.4696e-05 | val_loss: 3.54211e-05 | Time: 7124.48 ms [2020-11-10 19:15:34 main:574] : INFO : Epoch 178 | loss: 3.39647e-05 | val_loss: 3.43153e-05 | Time: 7068.74 ms [2020-11-10 19:15:41 main:574] : INFO : Epoch 179 | loss: 3.37025e-05 | val_loss: 3.33257e-05 | Time: 7079.63 ms [2020-11-10 19:15:49 main:574] : INFO : Epoch 180 | loss: 3.32426e-05 | val_loss: 3.41823e-05 | Time: 7033.67 ms [2020-11-10 19:15:56 main:574] : INFO : Epoch 181 | loss: 3.28251e-05 | val_loss: 3.225e-05 | Time: 7054.26 ms [2020-11-10 19:16:03 main:574] : INFO : Epoch 182 | loss: 3.25911e-05 | val_loss: 3.49352e-05 | Time: 6910.92 ms [2020-11-10 19:16:10 main:574] : INFO : Epoch 183 | loss: 3.20668e-05 | val_loss: 3.20902e-05 | Time: 7037.36 ms [2020-11-10 19:16:17 main:574] : INFO : Epoch 184 | loss: 3.17912e-05 | val_loss: 3.28883e-05 | Time: 7022.79 ms [2020-11-10 19:16:24 main:574] : INFO : Epoch 185 | loss: 3.12244e-05 | val_loss: 3.15321e-05 | Time: 7107.79 ms [2020-11-10 19:16:31 main:574] : INFO : Epoch 186 | loss: 3.09876e-05 | val_loss: 3.08432e-05 | Time: 7132.56 ms [2020-11-10 19:16:38 main:574] : INFO : Epoch 187 | loss: 3.0664e-05 | val_loss: 3.0731e-05 | Time: 7071.05 ms [2020-11-10 19:16:45 main:574] : INFO : Epoch 188 | loss: 3.02544e-05 | val_loss: 3.04497e-05 | Time: 7047.86 ms [2020-11-10 19:16:52 main:574] : INFO : Epoch 189 | loss: 2.95847e-05 | val_loss: 2.98581e-05 | Time: 7083.9 ms [2020-11-10 19:17:00 main:574] : INFO : Epoch 190 | loss: 2.93989e-05 | val_loss: 2.8956e-05 | Time: 7034.92 ms [2020-11-10 19:17:07 main:574] : INFO : Epoch 191 | loss: 2.94466e-05 | val_loss: 2.93232e-05 | Time: 7131.28 ms [2020-11-10 19:17:14 main:574] : INFO : Epoch 192 | loss: 2.87287e-05 | val_loss: 2.88732e-05 | Time: 7123.01 ms [2020-11-10 19:17:14 main:597] : INFO : Saving trained model to model-final.pt, val_loss 2.88732e-05 [2020-11-10 19:17:14 main:603] : INFO : Saving end state to config to file [2020-11-10 19:17:14 main:608] : INFO : Success, exiting.. 19:17:14 (9812): 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)