Task 3016643
| Name | rand_automata_0004-1605109696-16465-0_2 |
| Workunit | 1293834 |
| Created | 21 Nov 2020, 2:53:49 UTC |
| Sent | 21 Nov 2020, 3:07:59 UTC |
| Report deadline | 29 Nov 2020, 3:07:59 UTC |
| Received | 21 Nov 2020, 5:42:46 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 335 |
| Run time | 12 min 34 sec |
| CPU time | 12 min 28 sec |
| Validate state | Valid |
| Credit | 959.40 |
| Device peak FLOPS | 6,806.76 GFLOPS |
| Application version | Machine Learning Dataset Generator (GPU) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 1.50 GB |
| Peak swap size | 3.20 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 1070) [2020-11-21 00:30:07 main:435] : INFO : Set logging level to 1 [2020-11-21 00:30:07 main:441] : INFO : Running in BOINC Client mode [2020-11-21 00:30:07 main:444] : INFO : Resolving all filenames [2020-11-21 00:30:07 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0004-train-val-dataset.hdf5 (exists = 1) [2020-11-21 00:30:07 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0004-1605109696-16465-0_2_r221070732_1 (exists = 0) [2020-11-21 00:30:07 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0004-1605109696-16465-0_2_r221070732_0 (exists = 0) [2020-11-21 00:30:07 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-21 00:30:07 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-21 00:30:07 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0004-train-val-dataset.hdf5 [2020-11-21 00:30:07 main:474] : INFO : Configuration: [2020-11-21 00:30:07 main:475] : INFO : Model type: LSTM [2020-11-21 00:30:07 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-21 00:30:07 main:477] : INFO : Max Epochs: 192 [2020-11-21 00:30:07 main:478] : INFO : Batch Size: 32 [2020-11-21 00:30:07 main:479] : INFO : Learning Rate: 0.001 [2020-11-21 00:30:07 main:480] : INFO : Patience: 10 [2020-11-21 00:30:07 main:481] : INFO : Hidden Width: 64 [2020-11-21 00:30:07 main:482] : INFO : # Recurrent Layers: 4 [2020-11-21 00:30:07 main:483] : INFO : # Backend Layers: 2 [2020-11-21 00:30:07 main:484] : INFO : # Threads: 1 [2020-11-21 00:30:07 main:486] : INFO : Preparing Dataset [2020-11-21 00:30:07 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0004-train-val-dataset.hdf5 into memory [2020-11-21 00:30:07 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0004-train-val-dataset.hdf5 into memory [2020-11-21 00:30:10 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-21 00:30:10 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0004-train-val-dataset.hdf5 into memory [2020-11-21 00:30:10 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0004-train-val-dataset.hdf5 into memory [2020-11-21 00:30:10 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-21 00:30:10 main:494] : INFO : Creating Model [2020-11-21 00:30:10 main:507] : INFO : Preparing config file [2020-11-21 00:30:10 main:519] : INFO : Creating new config file [2020-11-21 00:30:11 main:559] : INFO : Loading DataLoader into Memory [2020-11-21 00:30:11 main:562] : INFO : Starting Training [2020-11-21 00:30:15 main:574] : INFO : Epoch 1 | loss: 0.0658725 | val_loss: 0.0654337 | Time: 4212.75 ms [2020-11-21 00:30:19 main:574] : INFO : Epoch 2 | loss: 0.064668 | val_loss: 0.0631168 | Time: 3847.18 ms [2020-11-21 00:30:23 main:574] : INFO : Epoch 3 | loss: 0.0615388 | val_loss: 0.0600025 | Time: 3905.49 ms [2020-11-21 00:30:27 main:574] : INFO : Epoch 4 | loss: 0.0585247 | val_loss: 0.0571916 | Time: 3873.82 ms [2020-11-21 00:30:31 main:574] : INFO : Epoch 5 | loss: 0.0561101 | val_loss: 0.0553012 | Time: 3865.29 ms [2020-11-21 00:30:34 main:574] : INFO : Epoch 6 | loss: 0.0543562 | val_loss: 0.0537888 | Time: 3869.86 ms [2020-11-21 00:30:38 main:574] : INFO : Epoch 7 | loss: 0.0527898 | val_loss: 0.0523751 | Time: 3879.86 ms [2020-11-21 00:30:42 main:574] : INFO : Epoch 8 | loss: 0.0510242 | val_loss: 0.0504208 | Time: 3881.24 ms [2020-11-21 00:30:46 main:574] : INFO : Epoch 9 | loss: 0.0489483 | val_loss: 0.0483066 | Time: 3876.91 ms [2020-11-21 00:30:50 main:574] : INFO : Epoch 10 | loss: 0.0464963 | val_loss: 0.0455027 | Time: 3905.11 ms [2020-11-21 00:30:54 main:574] : INFO : Epoch 11 | loss: 0.0435368 | val_loss: 0.0426654 | Time: 3892.87 ms [2020-11-21 00:30:58 main:574] : INFO : Epoch 12 | loss: 0.0404541 | val_loss: 0.0395676 | Time: 3908.43 ms [2020-11-21 00:31:02 main:574] : INFO : Epoch 13 | loss: 0.0372796 | val_loss: 0.0363248 | Time: 3882.49 ms [2020-11-21 00:31:06 main:574] : INFO : Epoch 14 | loss: 0.0340841 | val_loss: 0.0335109 | Time: 3867.67 ms [2020-11-21 00:31:09 main:574] : INFO : Epoch 15 | loss: 0.0317094 | val_loss: 0.0315148 | Time: 3833.5 ms [2020-11-21 00:31:13 main:574] : INFO : Epoch 16 | loss: 0.029128 | val_loss: 0.032413 | Time: 3899.58 ms [2020-11-21 00:31:17 main:574] : INFO : Epoch 17 | loss: 0.0272587 | val_loss: 0.0267914 | Time: 3892.75 ms [2020-11-21 00:31:21 main:574] : INFO : Epoch 18 | loss: 0.0249115 | val_loss: 0.0249021 | Time: 3884.62 ms [2020-11-21 00:31:25 main:574] : INFO : Epoch 19 | loss: 0.0283604 | val_loss: 0.0339703 | Time: 3863.18 ms [2020-11-21 00:31:29 main:574] : INFO : Epoch 20 | loss: 0.0299974 | val_loss: 0.0261617 | Time: 3876.06 ms [2020-11-21 00:31:33 main:574] : INFO : Epoch 21 | loss: 0.037624 | val_loss: 0.0624578 | Time: 3891.66 ms [2020-11-21 00:31:37 main:574] : INFO : Epoch 22 | loss: 0.0616398 | val_loss: 0.0611505 | Time: 3862.85 ms [2020-11-21 00:31:41 main:574] : INFO : Epoch 23 | loss: 0.0608187 | val_loss: 0.0605006 | Time: 3907.27 ms [2020-11-21 00:31:44 main:574] : INFO : Epoch 24 | loss: 0.0602136 | val_loss: 0.0598946 | Time: 3882.78 ms [2020-11-21 00:31:48 main:574] : INFO : Epoch 25 | loss: 0.0595062 | val_loss: 0.0589898 | Time: 3893.57 ms [2020-11-21 00:31:52 main:574] : INFO : Epoch 26 | loss: 0.058389 | val_loss: 0.0575889 | Time: 3880.25 ms [2020-11-21 00:31:56 main:574] : INFO : Epoch 27 | loss: 0.0565563 | val_loss: 0.0553565 | Time: 3917.23 ms [2020-11-21 00:32:00 main:574] : INFO : Epoch 28 | loss: 0.0538875 | val_loss: 0.0523959 | Time: 3870.23 ms [2020-11-21 00:32:04 main:574] : INFO : Epoch 29 | loss: 0.0502518 | val_loss: 0.0480611 | Time: 3836.91 ms [2020-11-21 00:32:08 main:574] : INFO : Epoch 30 | loss: 0.0438644 | val_loss: 0.0392032 | Time: 3855.74 ms [2020-11-21 00:32:12 main:574] : INFO : Epoch 31 | loss: 0.0343211 | val_loss: 0.0301169 | Time: 3946.97 ms [2020-11-21 00:32:16 main:574] : INFO : Epoch 32 | loss: 0.0255536 | val_loss: 0.0229922 | Time: 3996.8 ms [2020-11-21 00:32:20 main:574] : INFO : Epoch 33 | loss: 0.0215941 | val_loss: 0.0246898 | Time: 3986.95 ms [2020-11-21 00:32:24 main:574] : INFO : Epoch 34 | loss: 0.0188365 | val_loss: 0.0172381 | Time: 3938.95 ms [2020-11-21 00:32:27 main:574] : INFO : Epoch 35 | loss: 0.0175715 | val_loss: 0.0168725 | Time: 3842.51 ms [2020-11-21 00:32:31 main:574] : INFO : Epoch 36 | loss: 0.0156041 | val_loss: 0.0148193 | Time: 3864.48 ms [2020-11-21 00:32:35 main:574] : INFO : Epoch 37 | loss: 0.0145039 | val_loss: 0.0152109 | Time: 3870.64 ms [2020-11-21 00:32:39 main:574] : INFO : Epoch 38 | loss: 0.023604 | val_loss: 0.0424318 | Time: 3883.59 ms [2020-11-21 00:32:43 main:574] : INFO : Epoch 39 | loss: 0.0267906 | val_loss: 0.023286 | Time: 3897.49 ms [2020-11-21 00:32:47 main:574] : INFO : Epoch 40 | loss: 0.022012 | val_loss: 0.0162594 | Time: 3906.9 ms [2020-11-21 00:32:51 main:574] : INFO : Epoch 41 | loss: 0.0369801 | val_loss: 0.0267775 | Time: 3881.23 ms [2020-11-21 00:32:55 main:574] : INFO : Epoch 42 | loss: 0.0187096 | val_loss: 0.0184513 | Time: 3901.54 ms [2020-11-21 00:32:59 main:574] : INFO : Epoch 43 | loss: 0.0132516 | val_loss: 0.0127269 | Time: 3898.18 ms [2020-11-21 00:33:02 main:574] : INFO : Epoch 44 | loss: 0.019285 | val_loss: 0.014903 | Time: 3882.61 ms [2020-11-21 00:33:06 main:574] : INFO : Epoch 45 | loss: 0.0123688 | val_loss: 0.0118342 | Time: 3926.85 ms [2020-11-21 00:33:10 main:574] : INFO : Epoch 46 | loss: 0.0121664 | val_loss: 0.0197975 | Time: 3881.95 ms [2020-11-21 00:33:14 main:574] : INFO : Epoch 47 | loss: 0.0117195 | val_loss: 0.0105073 | Time: 3898.61 ms [2020-11-21 00:33:18 main:574] : INFO : Epoch 48 | loss: 0.00954285 | val_loss: 0.0102286 | Time: 3902.06 ms [2020-11-21 00:33:22 main:574] : INFO : Epoch 49 | loss: 0.0117581 | val_loss: 0.0269081 | Time: 3886.93 ms [2020-11-21 00:33:26 main:574] : INFO : Epoch 50 | loss: 0.0121285 | val_loss: 0.0124858 | Time: 3899.3 ms [2020-11-21 00:33:30 main:574] : INFO : Epoch 51 | loss: 0.00918399 | val_loss: 0.00935689 | Time: 3888.19 ms [2020-11-21 00:33:34 main:574] : INFO : Epoch 52 | loss: 0.00851496 | val_loss: 0.00868587 | Time: 3888.12 ms [2020-11-21 00:33:37 main:574] : INFO : Epoch 53 | loss: 0.0142704 | val_loss: 0.0117798 | Time: 3858.99 ms [2020-11-21 00:33:41 main:574] : INFO : Epoch 54 | loss: 0.00926133 | val_loss: 0.00846624 | Time: 3899.31 ms [2020-11-21 00:33:45 main:574] : INFO : Epoch 55 | loss: 0.00773519 | val_loss: 0.0078269 | Time: 3893.83 ms [2020-11-21 00:33:49 main:574] : INFO : Epoch 56 | loss: 0.00759364 | val_loss: 0.00967092 | Time: 3885.7 ms [2020-11-21 00:33:53 main:574] : INFO : Epoch 57 | loss: 0.00743341 | val_loss: 0.00716246 | Time: 3881.03 ms [2020-11-21 00:33:57 main:574] : INFO : Epoch 58 | loss: 0.00679069 | val_loss: 0.00724076 | Time: 3922.58 ms [2020-11-21 00:34:01 main:574] : INFO : Epoch 59 | loss: 0.00913078 | val_loss: 0.00743752 | Time: 3896.09 ms [2020-11-21 00:34:05 main:574] : INFO : Epoch 60 | loss: 0.00674496 | val_loss: 0.0065929 | Time: 3874.68 ms [2020-11-21 00:34:09 main:574] : INFO : Epoch 61 | loss: 0.00627891 | val_loss: 0.00643077 | Time: 3897.25 ms [2020-11-21 00:34:13 main:574] : INFO : Epoch 62 | loss: 0.00595227 | val_loss: 0.00622576 | Time: 3889.88 ms [2020-11-21 00:34:16 main:574] : INFO : Epoch 63 | loss: 0.00575175 | val_loss: 0.00604081 | Time: 3882.76 ms [2020-11-21 00:34:20 main:574] : INFO : Epoch 64 | loss: 0.00557236 | val_loss: 0.00584643 | Time: 3886.87 ms [2020-11-21 00:34:24 main:574] : INFO : Epoch 65 | loss: 0.00540304 | val_loss: 0.00568438 | Time: 3899.75 ms [2020-11-21 00:34:28 main:574] : INFO : Epoch 66 | loss: 0.00523883 | val_loss: 0.00551299 | Time: 3880.33 ms [2020-11-21 00:34:32 main:574] : INFO : Epoch 67 | loss: 0.00508561 | val_loss: 0.00533752 | Time: 3875.56 ms [2020-11-21 00:34:36 main:574] : INFO : Epoch 68 | loss: 0.00493346 | val_loss: 0.00519122 | Time: 3895.72 ms [2020-11-21 00:34:40 main:574] : INFO : Epoch 69 | loss: 0.00478454 | val_loss: 0.00504158 | Time: 3865.66 ms [2020-11-21 00:34:44 main:574] : INFO : Epoch 70 | loss: 0.00464548 | val_loss: 0.00479099 | Time: 3861.72 ms [2020-11-21 00:34:48 main:574] : INFO : Epoch 71 | loss: 0.0044977 | val_loss: 0.00462685 | Time: 3899.25 ms [2020-11-21 00:34:51 main:574] : INFO : Epoch 72 | loss: 0.00434391 | val_loss: 0.00448673 | Time: 3876.31 ms [2020-11-21 00:34:55 main:574] : INFO : Epoch 73 | loss: 0.00420285 | val_loss: 0.00428679 | Time: 3887 ms [2020-11-21 00:34:59 main:574] : INFO : Epoch 74 | loss: 0.00406422 | val_loss: 0.00412483 | Time: 3880.75 ms [2020-11-21 00:35:03 main:574] : INFO : Epoch 75 | loss: 0.00392769 | val_loss: 0.00399684 | Time: 3909.96 ms [2020-11-21 00:35:07 main:574] : INFO : Epoch 76 | loss: 0.003793 | val_loss: 0.00382462 | Time: 3899.25 ms [2020-11-21 00:35:11 main:574] : INFO : Epoch 77 | loss: 0.00366043 | val_loss: 0.00369691 | Time: 3873.72 ms [2020-11-21 00:35:15 main:574] : INFO : Epoch 78 | loss: 0.00355058 | val_loss: 0.00353866 | Time: 3900.44 ms [2020-11-21 00:35:19 main:574] : INFO : Epoch 79 | loss: 0.00340342 | val_loss: 0.00339258 | Time: 3886.21 ms [2020-11-21 00:35:23 main:574] : INFO : Epoch 80 | loss: 0.00327823 | val_loss: 0.00327081 | Time: 3907.03 ms [2020-11-21 00:35:26 main:574] : INFO : Epoch 81 | loss: 0.00316538 | val_loss: 0.00314461 | Time: 3868.94 ms [2020-11-21 00:35:30 main:574] : INFO : Epoch 82 | loss: 0.00303125 | val_loss: 0.00302226 | Time: 3903.36 ms [2020-11-21 00:35:34 main:574] : INFO : Epoch 83 | loss: 0.00291296 | val_loss: 0.00290366 | Time: 3873.85 ms [2020-11-21 00:35:38 main:574] : INFO : Epoch 84 | loss: 0.0027969 | val_loss: 0.00278246 | Time: 3904.35 ms [2020-11-21 00:35:42 main:574] : INFO : Epoch 85 | loss: 0.00268507 | val_loss: 0.00266979 | Time: 3927.08 ms [2020-11-21 00:35:46 main:574] : INFO : Epoch 86 | loss: 0.00257674 | val_loss: 0.00255926 | Time: 3907.57 ms [2020-11-21 00:35:50 main:574] : INFO : Epoch 87 | loss: 0.00247406 | val_loss: 0.00245239 | Time: 3896.37 ms [2020-11-21 00:35:54 main:574] : INFO : Epoch 88 | loss: 0.0023644 | val_loss: 0.00234875 | Time: 3889.04 ms [2020-11-21 00:35:58 main:574] : INFO : Epoch 89 | loss: 0.00226345 | val_loss: 0.00224598 | Time: 3894.19 ms [2020-11-21 00:36:02 main:574] : INFO : Epoch 90 | loss: 0.00216533 | val_loss: 0.00214541 | Time: 3852.88 ms [2020-11-21 00:36:05 main:574] : INFO : Epoch 91 | loss: 0.00207035 | val_loss: 0.00204956 | Time: 3855.74 ms [2020-11-21 00:36:09 main:574] : INFO : Epoch 92 | loss: 0.00197784 | val_loss: 0.00195681 | Time: 3856.22 ms [2020-11-21 00:36:13 main:574] : INFO : Epoch 93 | loss: 0.00188917 | val_loss: 0.00186823 | Time: 3874.91 ms [2020-11-21 00:36:17 main:574] : INFO : Epoch 94 | loss: 0.00180247 | val_loss: 0.00178142 | Time: 3853.85 ms [2020-11-21 00:36:21 main:574] : INFO : Epoch 95 | loss: 0.00171885 | val_loss: 0.00169986 | Time: 3891.32 ms [2020-11-21 00:36:25 main:574] : INFO : Epoch 96 | loss: 0.00163808 | val_loss: 0.0016166 | Time: 3899.96 ms [2020-11-21 00:36:29 main:574] : INFO : Epoch 97 | loss: 0.0015605 | val_loss: 0.00153281 | Time: 3832.83 ms [2020-11-21 00:36:33 main:574] : INFO : Epoch 98 | loss: 0.00148594 | val_loss: 0.00145341 | Time: 3862.37 ms [2020-11-21 00:36:36 main:574] : INFO : Epoch 99 | loss: 0.00141356 | val_loss: 0.00138181 | Time: 3883.07 ms [2020-11-21 00:36:40 main:574] : INFO : Epoch 100 | loss: 0.00134492 | val_loss: 0.00131482 | Time: 3890.07 ms [2020-11-21 00:36:44 main:574] : INFO : Epoch 101 | loss: 0.0012785 | val_loss: 0.00124929 | Time: 3848.15 ms [2020-11-21 00:36:48 main:574] : INFO : Epoch 102 | loss: 0.001216 | val_loss: 0.00118742 | Time: 3875.71 ms [2020-11-21 00:36:52 main:574] : INFO : Epoch 103 | loss: 0.00115535 | val_loss: 0.00112682 | Time: 3872.12 ms [2020-11-21 00:36:56 main:574] : INFO : Epoch 104 | loss: 0.00109751 | val_loss: 0.00107132 | Time: 3882.73 ms [2020-11-21 00:37:00 main:574] : INFO : Epoch 105 | loss: 0.00104309 | val_loss: 0.00101575 | Time: 3863.5 ms [2020-11-21 00:37:04 main:574] : INFO : Epoch 106 | loss: 0.000990496 | val_loss: 0.000966897 | Time: 3861.82 ms [2020-11-21 00:37:07 main:574] : INFO : Epoch 107 | loss: 0.000941456 | val_loss: 0.000918606 | Time: 3852.23 ms [2020-11-21 00:37:11 main:574] : INFO : Epoch 108 | loss: 0.000894146 | val_loss: 0.000875054 | Time: 3891.75 ms [2020-11-21 00:37:15 main:574] : INFO : Epoch 109 | loss: 0.000849144 | val_loss: 0.000827791 | Time: 3870.25 ms [2020-11-21 00:37:19 main:574] : INFO : Epoch 110 | loss: 0.000806779 | val_loss: 0.000785843 | Time: 3864.1 ms [2020-11-21 00:37:23 main:574] : INFO : Epoch 111 | loss: 0.000765804 | val_loss: 0.000746262 | Time: 3875.4 ms [2020-11-21 00:37:27 main:574] : INFO : Epoch 112 | loss: 0.000727518 | val_loss: 0.000709168 | Time: 3896.43 ms [2020-11-21 00:37:31 main:574] : INFO : Epoch 113 | loss: 0.000691727 | val_loss: 0.00067372 | Time: 3892.9 ms [2020-11-21 00:37:35 main:574] : INFO : Epoch 114 | loss: 0.000656565 | val_loss: 0.000639448 | Time: 3893.23 ms [2020-11-21 00:37:38 main:574] : INFO : Epoch 115 | loss: 0.000623461 | val_loss: 0.000608672 | Time: 3892.96 ms [2020-11-21 00:37:42 main:574] : INFO : Epoch 116 | loss: 0.000592332 | val_loss: 0.000577091 | Time: 3844.28 ms [2020-11-21 00:37:46 main:574] : INFO : Epoch 117 | loss: 0.000562664 | val_loss: 0.000548115 | Time: 3890.65 ms [2020-11-21 00:37:50 main:574] : INFO : Epoch 118 | loss: 0.000533502 | val_loss: 0.000518882 | Time: 3889.89 ms [2020-11-21 00:37:54 main:574] : INFO : Epoch 119 | loss: 0.000506884 | val_loss: 0.000494614 | Time: 3893.61 ms [2020-11-21 00:37:58 main:574] : INFO : Epoch 120 | loss: 0.000481604 | val_loss: 0.000469047 | Time: 3875.98 ms [2020-11-21 00:38:02 main:574] : INFO : Epoch 121 | loss: 0.000457737 | val_loss: 0.00044654 | Time: 3908.23 ms [2020-11-21 00:38:06 main:574] : INFO : Epoch 122 | loss: 0.000435057 | val_loss: 0.000424949 | Time: 3852.47 ms [2020-11-21 00:38:10 main:574] : INFO : Epoch 123 | loss: 0.000413764 | val_loss: 0.000404157 | Time: 3889.61 ms [2020-11-21 00:38:13 main:574] : INFO : Epoch 124 | loss: 0.000393289 | val_loss: 0.000384339 | Time: 3870.21 ms [2020-11-21 00:38:17 main:574] : INFO : Epoch 125 | loss: 0.000374202 | val_loss: 0.000367171 | Time: 3859.06 ms [2020-11-21 00:38:21 main:574] : INFO : Epoch 126 | loss: 0.000356274 | val_loss: 0.000348114 | Time: 3881.61 ms [2020-11-21 00:38:25 main:574] : INFO : Epoch 127 | loss: 0.000339365 | val_loss: 0.000330543 | Time: 3860.58 ms [2020-11-21 00:38:29 main:574] : INFO : Epoch 128 | loss: 0.000323399 | val_loss: 0.00031605 | Time: 3883.53 ms [2020-11-21 00:38:33 main:574] : INFO : Epoch 129 | loss: 0.000307927 | val_loss: 0.000300706 | Time: 3887.42 ms [2020-11-21 00:38:37 main:574] : INFO : Epoch 130 | loss: 0.000293857 | val_loss: 0.000286871 | Time: 3888.97 ms [2020-11-21 00:38:41 main:574] : INFO : Epoch 131 | loss: 0.000280356 | val_loss: 0.000275586 | Time: 3922.14 ms [2020-11-21 00:38:45 main:574] : INFO : Epoch 132 | loss: 0.000267802 | val_loss: 0.000263513 | Time: 3915.27 ms [2020-11-21 00:38:48 main:574] : INFO : Epoch 133 | loss: 0.000255049 | val_loss: 0.000250546 | Time: 3861.73 ms [2020-11-21 00:38:52 main:574] : INFO : Epoch 134 | loss: 0.00024461 | val_loss: 0.000239598 | Time: 3892.98 ms [2020-11-21 00:38:56 main:574] : INFO : Epoch 135 | loss: 0.000233485 | val_loss: 0.000228587 | Time: 3896.16 ms [2020-11-21 00:39:00 main:574] : INFO : Epoch 136 | loss: 0.000223676 | val_loss: 0.000219512 | Time: 3906.83 ms [2020-11-21 00:39:04 main:574] : INFO : Epoch 137 | loss: 0.000214243 | val_loss: 0.000209821 | Time: 3863.08 ms [2020-11-21 00:39:08 main:574] : INFO : Epoch 138 | loss: 0.000205306 | val_loss: 0.000202277 | Time: 3910.91 ms [2020-11-21 00:39:12 main:574] : INFO : Epoch 139 | loss: 0.000196907 | val_loss: 0.000193465 | Time: 3873.8 ms [2020-11-21 00:39:16 main:574] : INFO : Epoch 140 | loss: 0.000188875 | val_loss: 0.000186105 | Time: 3876.85 ms [2020-11-21 00:39:20 main:574] : INFO : Epoch 141 | loss: 0.000181903 | val_loss: 0.00017751 | Time: 3891.24 ms [2020-11-21 00:39:23 main:574] : INFO : Epoch 142 | loss: 0.000174713 | val_loss: 0.000173915 | Time: 3861.26 ms [2020-11-21 00:39:27 main:574] : INFO : Epoch 143 | loss: 0.00016745 | val_loss: 0.000163986 | Time: 3874.03 ms [2020-11-21 00:39:31 main:574] : INFO : Epoch 144 | loss: 0.00016123 | val_loss: 0.00015893 | Time: 3871.32 ms [2020-11-21 00:39:35 main:574] : INFO : Epoch 145 | loss: 0.000155544 | val_loss: 0.000153836 | Time: 3904.31 ms [2020-11-21 00:39:39 main:574] : INFO : Epoch 146 | loss: 0.000149939 | val_loss: 0.000148169 | Time: 3888.69 ms [2020-11-21 00:39:43 main:574] : INFO : Epoch 147 | loss: 0.000144522 | val_loss: 0.000141721 | Time: 3882.64 ms [2020-11-21 00:39:47 main:574] : INFO : Epoch 148 | loss: 0.000138869 | val_loss: 0.000135501 | Time: 3886.72 ms [2020-11-21 00:39:51 main:574] : INFO : Epoch 149 | loss: 0.000134362 | val_loss: 0.000132651 | Time: 3865.13 ms [2020-11-21 00:39:54 main:574] : INFO : Epoch 150 | loss: 0.000129305 | val_loss: 0.000129393 | Time: 3870.23 ms [2020-11-21 00:39:58 main:574] : INFO : Epoch 151 | loss: 0.000125628 | val_loss: 0.00012506 | Time: 3849.87 ms [2020-11-21 00:40:02 main:574] : INFO : Epoch 152 | loss: 0.000121392 | val_loss: 0.000119884 | Time: 3867.74 ms [2020-11-21 00:40:06 main:574] : INFO : Epoch 153 | loss: 0.000116779 | val_loss: 0.000115457 | Time: 3882.51 ms [2020-11-21 00:40:10 main:574] : INFO : Epoch 154 | loss: 0.00011368 | val_loss: 0.000112915 | Time: 3860.39 ms [2020-11-21 00:40:14 main:574] : INFO : Epoch 155 | loss: 0.000110055 | val_loss: 0.000109949 | Time: 3854.88 ms [2020-11-21 00:40:18 main:574] : INFO : Epoch 156 | loss: 0.000106965 | val_loss: 0.000108344 | Time: 3860.76 ms [2020-11-21 00:40:22 main:574] : INFO : Epoch 157 | loss: 0.000103214 | val_loss: 0.000102559 | Time: 3880.24 ms [2020-11-21 00:40:25 main:574] : INFO : Epoch 158 | loss: 0.000100685 | val_loss: 9.91675e-05 | Time: 3853.3 ms [2020-11-21 00:40:29 main:574] : INFO : Epoch 159 | loss: 9.68533e-05 | val_loss: 9.64559e-05 | Time: 3829.63 ms [2020-11-21 00:40:33 main:574] : INFO : Epoch 160 | loss: 9.42904e-05 | val_loss: 9.33717e-05 | Time: 3831.52 ms [2020-11-21 00:40:37 main:574] : INFO : Epoch 161 | loss: 9.15678e-05 | val_loss: 9.19454e-05 | Time: 3871.29 ms [2020-11-21 00:40:41 main:574] : INFO : Epoch 162 | loss: 8.91582e-05 | val_loss: 8.78799e-05 | Time: 3855.92 ms [2020-11-21 00:40:45 main:574] : INFO : Epoch 163 | loss: 8.64795e-05 | val_loss: 8.63197e-05 | Time: 3885.96 ms [2020-11-21 00:40:49 main:574] : INFO : Epoch 164 | loss: 8.42283e-05 | val_loss: 8.46877e-05 | Time: 3881.25 ms [2020-11-21 00:40:52 main:574] : INFO : Epoch 165 | loss: 8.20764e-05 | val_loss: 8.1438e-05 | Time: 3874.33 ms [2020-11-21 00:40:56 main:574] : INFO : Epoch 166 | loss: 7.96068e-05 | val_loss: 7.91318e-05 | Time: 3866.18 ms [2020-11-21 00:41:00 main:574] : INFO : Epoch 167 | loss: 7.76856e-05 | val_loss: 7.71232e-05 | Time: 3868.11 ms [2020-11-21 00:41:04 main:574] : INFO : Epoch 168 | loss: 7.56697e-05 | val_loss: 7.51983e-05 | Time: 3900.87 ms [2020-11-21 00:41:08 main:574] : INFO : Epoch 169 | loss: 7.36029e-05 | val_loss: 7.33743e-05 | Time: 3874.26 ms [2020-11-21 00:41:12 main:574] : INFO : Epoch 170 | loss: 7.16788e-05 | val_loss: 7.27637e-05 | Time: 3904.68 ms [2020-11-21 00:41:16 main:574] : INFO : Epoch 171 | loss: 7.00134e-05 | val_loss: 6.98516e-05 | Time: 3899.04 ms [2020-11-21 00:41:20 main:574] : INFO : Epoch 172 | loss: 6.88531e-05 | val_loss: 6.86528e-05 | Time: 3862.86 ms [2020-11-21 00:41:24 main:574] : INFO : Epoch 173 | loss: 6.64122e-05 | val_loss: 6.67564e-05 | Time: 3881.01 ms [2020-11-21 00:41:27 main:574] : INFO : Epoch 174 | loss: 6.50286e-05 | val_loss: 6.57431e-05 | Time: 3899.97 ms [2020-11-21 00:41:31 main:574] : INFO : Epoch 175 | loss: 6.35513e-05 | val_loss: 6.45819e-05 | Time: 3875.12 ms [2020-11-21 00:41:35 main:574] : INFO : Epoch 176 | loss: 6.21402e-05 | val_loss: 6.15599e-05 | Time: 3870.6 ms [2020-11-21 00:41:39 main:574] : INFO : Epoch 177 | loss: 6.03996e-05 | val_loss: 6.03225e-05 | Time: 3885.01 ms [2020-11-21 00:41:43 main:574] : INFO : Epoch 178 | loss: 5.92815e-05 | val_loss: 5.83442e-05 | Time: 3881 ms [2020-11-21 00:41:47 main:574] : INFO : Epoch 179 | loss: 5.80692e-05 | val_loss: 5.79011e-05 | Time: 3881.6 ms [2020-11-21 00:41:51 main:574] : INFO : Epoch 180 | loss: 5.7229e-05 | val_loss: 5.73187e-05 | Time: 3889.78 ms [2020-11-21 00:41:55 main:574] : INFO : Epoch 181 | loss: 5.5874e-05 | val_loss: 5.57303e-05 | Time: 3896.86 ms [2020-11-21 00:41:59 main:574] : INFO : Epoch 182 | loss: 5.45014e-05 | val_loss: 5.42517e-05 | Time: 3889.96 ms [2020-11-21 00:42:02 main:574] : INFO : Epoch 183 | loss: 5.30839e-05 | val_loss: 5.39437e-05 | Time: 3866.08 ms [2020-11-21 00:42:06 main:574] : INFO : Epoch 184 | loss: 5.20938e-05 | val_loss: 5.12982e-05 | Time: 3905.4 ms [2020-11-21 00:42:10 main:574] : INFO : Epoch 185 | loss: 5.10969e-05 | val_loss: 5.23441e-05 | Time: 3872.62 ms [2020-11-21 00:42:14 main:574] : INFO : Epoch 186 | loss: 5.01321e-05 | val_loss: 5.02815e-05 | Time: 3927.2 ms [2020-11-21 00:42:18 main:574] : INFO : Epoch 187 | loss: 4.89502e-05 | val_loss: 4.98177e-05 | Time: 3963.51 ms [2020-11-21 00:42:22 main:574] : INFO : Epoch 188 | loss: 4.79154e-05 | val_loss: 4.7905e-05 | Time: 3962.19 ms [2020-11-21 00:42:26 main:574] : INFO : Epoch 189 | loss: 4.71427e-05 | val_loss: 4.56663e-05 | Time: 3897.9 ms [2020-11-21 00:42:30 main:574] : INFO : Epoch 190 | loss: 4.55892e-05 | val_loss: 4.5222e-05 | Time: 3876.94 ms [2020-11-21 00:42:34 main:574] : INFO : Epoch 191 | loss: 4.4815e-05 | val_loss: 4.58308e-05 | Time: 3892.32 ms [2020-11-21 00:42:38 main:574] : INFO : Epoch 192 | loss: 4.41575e-05 | val_loss: 4.37826e-05 | Time: 3852.5 ms [2020-11-21 00:42:38 main:597] : INFO : Saving trained model to model-final.pt, val_loss 4.37826e-05 [2020-11-21 00:42:38 main:603] : INFO : Saving end state to config to file [2020-11-21 00:42:38 main:608] : INFO : Success, exiting.. 00:42:38 (9960): 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)