| Name | rand_automata_0063-1604985005-5076-0_1 |
| Workunit | 1264527 |
| Created | 10 Nov 2020, 6:08:48 UTC |
| Sent | 10 Nov 2020, 6:35:46 UTC |
| Report deadline | 11 Nov 2020, 5:05:46 UTC |
| Received | 10 Nov 2020, 23:56:41 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 563 |
| Run time | 27 min 10 sec |
| CPU time | 24 min 33 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 | 1.96 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) [2020-11-11 00:25:11 main:435] : INFO : Set logging level to 1 [2020-11-11 00:25:11 main:441] : INFO : Running in BOINC Client mode [2020-11-11 00:25:11 main:444] : INFO : Resolving all filenames [2020-11-11 00:25:11 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0063-train-val-dataset.hdf5 (exists = 1) [2020-11-11 00:25:12 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0063-1604985005-5076-0_1_r1016044982_1 (exists = 0) [2020-11-11 00:25:12 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0063-1604985005-5076-0_1_r1016044982_0 (exists = 0) [2020-11-11 00:25:12 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-11 00:25:12 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-11 00:25:12 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0063-train-val-dataset.hdf5 [2020-11-11 00:25:12 main:474] : INFO : Configuration: [2020-11-11 00:25:12 main:475] : INFO : Model type: LSTM [2020-11-11 00:25:12 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-11 00:25:12 main:477] : INFO : Max Epochs: 192 [2020-11-11 00:25:12 main:478] : INFO : Batch Size: 32 [2020-11-11 00:25:12 main:479] : INFO : Learning Rate: 0.001 [2020-11-11 00:25:12 main:480] : INFO : Patience: 10 [2020-11-11 00:25:12 main:481] : INFO : Hidden Width: 64 [2020-11-11 00:25:12 main:482] : INFO : # Recurrent Layers: 4 [2020-11-11 00:25:12 main:483] : INFO : # Backend Layers: 2 [2020-11-11 00:25:12 main:484] : INFO : # Threads: 1 [2020-11-11 00:25:12 main:486] : INFO : Preparing Dataset [2020-11-11 00:25:12 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0063-train-val-dataset.hdf5 into memory [2020-11-11 00:25:12 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0063-train-val-dataset.hdf5 into memory [2020-11-11 00:25:14 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-11 00:25:15 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0063-train-val-dataset.hdf5 into memory [2020-11-11 00:25:15 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0063-train-val-dataset.hdf5 into memory [2020-11-11 00:25:15 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-11 00:25:15 main:494] : INFO : Creating Model [2020-11-11 00:25:15 main:507] : INFO : Preparing config file [2020-11-11 00:25:15 main:519] : INFO : Creating new config file [2020-11-11 00:25:16 main:559] : INFO : Loading DataLoader into Memory [2020-11-11 00:25:16 main:562] : INFO : Starting Training [2020-11-11 00:25:25 main:574] : INFO : Epoch 1 | loss: 0.0662472 | val_loss: 0.0659943 | Time: 8424.36 ms [2020-11-11 00:25:33 main:574] : INFO : Epoch 2 | loss: 0.0649862 | val_loss: 0.0638972 | Time: 7926.13 ms [2020-11-11 00:25:41 main:574] : INFO : Epoch 3 | loss: 0.0621926 | val_loss: 0.0602118 | Time: 8149.3 ms [2020-11-11 00:25:49 main:574] : INFO : Epoch 4 | loss: 0.0587891 | val_loss: 0.0574408 | Time: 8184.21 ms [2020-11-11 00:25:58 main:574] : INFO : Epoch 5 | loss: 0.0563023 | val_loss: 0.0552722 | Time: 8357.86 ms [2020-11-11 00:26:06 main:574] : INFO : Epoch 6 | loss: 0.0544188 | val_loss: 0.0536653 | Time: 8274.41 ms [2020-11-11 00:26:14 main:574] : INFO : Epoch 7 | loss: 0.0529493 | val_loss: 0.052387 | Time: 7914.04 ms [2020-11-11 00:26:22 main:574] : INFO : Epoch 8 | loss: 0.0515942 | val_loss: 0.0510687 | Time: 7818.41 ms [2020-11-11 00:26:30 main:574] : INFO : Epoch 9 | loss: 0.0502562 | val_loss: 0.0498837 | Time: 8027.99 ms [2020-11-11 00:26:38 main:574] : INFO : Epoch 10 | loss: 0.048828 | val_loss: 0.0484733 | Time: 7937.19 ms [2020-11-11 00:26:46 main:574] : INFO : Epoch 11 | loss: 0.0472829 | val_loss: 0.0467836 | Time: 7879.46 ms [2020-11-11 00:26:54 main:574] : INFO : Epoch 12 | loss: 0.0454489 | val_loss: 0.0451882 | Time: 8057.25 ms [2020-11-11 00:27:03 main:574] : INFO : Epoch 13 | loss: 0.0436939 | val_loss: 0.0432921 | Time: 8349.61 ms [2020-11-11 00:27:11 main:574] : INFO : Epoch 14 | loss: 0.0414928 | val_loss: 0.0411033 | Time: 8062.87 ms [2020-11-11 00:27:19 main:574] : INFO : Epoch 15 | loss: 0.0392512 | val_loss: 0.0390325 | Time: 8100.66 ms [2020-11-11 00:27:27 main:574] : INFO : Epoch 16 | loss: 0.0367234 | val_loss: 0.036196 | Time: 7763.64 ms [2020-11-11 00:27:35 main:574] : INFO : Epoch 17 | loss: 0.0341816 | val_loss: 0.0339708 | Time: 8170.21 ms [2020-11-11 00:27:43 main:574] : INFO : Epoch 18 | loss: 0.0317766 | val_loss: 0.0324703 | Time: 8106 ms [2020-11-11 00:27:51 main:574] : INFO : Epoch 19 | loss: 0.0290613 | val_loss: 0.0292804 | Time: 7929.96 ms [2020-11-11 00:27:59 main:574] : INFO : Epoch 20 | loss: 0.0274227 | val_loss: 0.027884 | Time: 7919.23 ms [2020-11-11 00:28:07 main:574] : INFO : Epoch 21 | loss: 0.025326 | val_loss: 0.0239294 | Time: 7924 ms [2020-11-11 00:28:15 main:574] : INFO : Epoch 22 | loss: 0.0252901 | val_loss: 0.0324082 | Time: 8038.27 ms [2020-11-11 00:28:23 main:574] : INFO : Epoch 23 | loss: 0.021805 | val_loss: 0.0210902 | Time: 7904.73 ms [2020-11-11 00:28:32 main:574] : INFO : Epoch 24 | loss: 0.0183822 | val_loss: 0.0176087 | Time: 8093.44 ms [2020-11-11 00:28:40 main:574] : INFO : Epoch 25 | loss: 0.0341824 | val_loss: 0.050889 | Time: 7887.32 ms [2020-11-11 00:28:47 main:574] : INFO : Epoch 26 | loss: 0.0351967 | val_loss: 0.0215529 | Time: 7777.48 ms [2020-11-11 00:28:55 main:574] : INFO : Epoch 27 | loss: 0.0223694 | val_loss: 0.0191265 | Time: 7951.04 ms [2020-11-11 00:29:04 main:574] : INFO : Epoch 28 | loss: 0.0155761 | val_loss: 0.0242062 | Time: 8166.81 ms [2020-11-11 00:29:12 main:574] : INFO : Epoch 29 | loss: 0.0217694 | val_loss: 0.0184604 | Time: 7944.32 ms [2020-11-11 00:29:19 main:574] : INFO : Epoch 30 | loss: 0.0169998 | val_loss: 0.0145184 | Time: 7782.41 ms [2020-11-11 00:29:28 main:574] : INFO : Epoch 31 | loss: 0.0124979 | val_loss: 0.0141722 | Time: 7964.24 ms [2020-11-11 00:29:36 main:574] : INFO : Epoch 32 | loss: 0.0155997 | val_loss: 0.0172245 | Time: 8056.12 ms [2020-11-11 00:29:44 main:574] : INFO : Epoch 33 | loss: 0.0117273 | val_loss: 0.0111658 | Time: 8187.7 ms [2020-11-11 00:29:52 main:574] : INFO : Epoch 34 | loss: 0.0101161 | val_loss: 0.0107568 | Time: 8117.37 ms [2020-11-11 00:30:00 main:574] : INFO : Epoch 35 | loss: 0.0101213 | val_loss: 0.0104132 | Time: 8127.66 ms [2020-11-11 00:30:08 main:574] : INFO : Epoch 36 | loss: 0.00912654 | val_loss: 0.00961209 | Time: 8152.75 ms [2020-11-11 00:30:17 main:574] : INFO : Epoch 37 | loss: 0.00869158 | val_loss: 0.00912546 | Time: 8366.67 ms [2020-11-11 00:30:25 main:574] : INFO : Epoch 38 | loss: 0.00841549 | val_loss: 0.00904829 | Time: 7924.25 ms [2020-11-11 00:30:33 main:574] : INFO : Epoch 39 | loss: 0.0227629 | val_loss: 0.0195357 | Time: 8011.56 ms [2020-11-11 00:30:41 main:574] : INFO : Epoch 40 | loss: 0.0108517 | val_loss: 0.00937659 | Time: 8357.01 ms [2020-11-11 00:30:49 main:574] : INFO : Epoch 41 | loss: 0.00843708 | val_loss: 0.00852231 | Time: 7883.24 ms [2020-11-11 00:30:57 main:574] : INFO : Epoch 42 | loss: 0.00805721 | val_loss: 0.00957945 | Time: 8033.44 ms [2020-11-11 00:31:06 main:574] : INFO : Epoch 43 | loss: 0.0078858 | val_loss: 0.00792485 | Time: 8108.71 ms [2020-11-11 00:31:14 main:574] : INFO : Epoch 44 | loss: 0.00738207 | val_loss: 0.0076395 | Time: 7926.02 ms [2020-11-11 00:31:22 main:574] : INFO : Epoch 45 | loss: 0.00715033 | val_loss: 0.0074689 | Time: 8061.06 ms [2020-11-11 00:31:31 main:574] : INFO : Epoch 46 | loss: 0.00694849 | val_loss: 0.00725859 | Time: 8546.35 ms [2020-11-11 00:31:39 main:574] : INFO : Epoch 47 | loss: 0.00677469 | val_loss: 0.00695865 | Time: 8388.65 ms [2020-11-11 00:31:47 main:574] : INFO : Epoch 48 | loss: 0.00681581 | val_loss: 0.00866075 | Time: 7975.35 ms [2020-11-11 00:31:55 main:574] : INFO : Epoch 49 | loss: 0.00668048 | val_loss: 0.00664091 | Time: 8372.07 ms [2020-11-11 00:32:04 main:574] : INFO : Epoch 50 | loss: 0.00627005 | val_loss: 0.00641268 | Time: 8303.19 ms [2020-11-11 00:32:12 main:574] : INFO : Epoch 51 | loss: 0.00606685 | val_loss: 0.0062312 | Time: 8206.36 ms [2020-11-11 00:32:20 main:574] : INFO : Epoch 52 | loss: 0.00592339 | val_loss: 0.00617497 | Time: 7776.93 ms [2020-11-11 00:32:28 main:574] : INFO : Epoch 53 | loss: 0.00574869 | val_loss: 0.00587143 | Time: 7866.44 ms [2020-11-11 00:32:36 main:574] : INFO : Epoch 54 | loss: 0.00557597 | val_loss: 0.00570371 | Time: 7818.29 ms [2020-11-11 00:32:44 main:574] : INFO : Epoch 55 | loss: 0.0054496 | val_loss: 0.00553915 | Time: 8496.89 ms [2020-11-11 00:32:53 main:574] : INFO : Epoch 56 | loss: 0.00526666 | val_loss: 0.00534308 | Time: 8204.72 ms [2020-11-11 00:33:01 main:574] : INFO : Epoch 57 | loss: 0.00510925 | val_loss: 0.00518527 | Time: 8107.46 ms [2020-11-11 00:33:09 main:574] : INFO : Epoch 58 | loss: 0.00495663 | val_loss: 0.00501818 | Time: 7837.66 ms [2020-11-11 00:33:17 main:574] : INFO : Epoch 59 | loss: 0.00480828 | val_loss: 0.00486294 | Time: 7831.53 ms [2020-11-11 00:33:25 main:574] : INFO : Epoch 60 | loss: 0.00465857 | val_loss: 0.00469759 | Time: 8015.15 ms [2020-11-11 00:33:33 main:574] : INFO : Epoch 61 | loss: 0.00455731 | val_loss: 0.00454303 | Time: 8547.12 ms [2020-11-11 00:33:41 main:574] : INFO : Epoch 62 | loss: 0.00437307 | val_loss: 0.00439175 | Time: 7962.48 ms [2020-11-11 00:33:50 main:574] : INFO : Epoch 63 | loss: 0.00422851 | val_loss: 0.00423164 | Time: 8404.23 ms [2020-11-11 00:33:58 main:574] : INFO : Epoch 64 | loss: 0.0040876 | val_loss: 0.00408932 | Time: 7972.36 ms [2020-11-11 00:34:06 main:574] : INFO : Epoch 65 | loss: 0.00394937 | val_loss: 0.00394115 | Time: 8381.06 ms [2020-11-11 00:34:15 main:574] : INFO : Epoch 66 | loss: 0.00384007 | val_loss: 0.00380225 | Time: 8337.68 ms [2020-11-11 00:34:23 main:574] : INFO : Epoch 67 | loss: 0.00368388 | val_loss: 0.00366919 | Time: 8320.97 ms [2020-11-11 00:34:32 main:574] : INFO : Epoch 68 | loss: 0.00355451 | val_loss: 0.00353773 | Time: 8124.66 ms [2020-11-11 00:34:40 main:574] : INFO : Epoch 69 | loss: 0.00342834 | val_loss: 0.00340896 | Time: 8929.06 ms [2020-11-11 00:34:49 main:574] : INFO : Epoch 70 | loss: 0.00330575 | val_loss: 0.00328734 | Time: 8359.4 ms [2020-11-11 00:34:58 main:574] : INFO : Epoch 71 | loss: 0.00318488 | val_loss: 0.00316598 | Time: 8582.56 ms [2020-11-11 00:35:06 main:574] : INFO : Epoch 72 | loss: 0.00306902 | val_loss: 0.00305038 | Time: 8127.8 ms [2020-11-11 00:35:15 main:574] : INFO : Epoch 73 | loss: 0.00295287 | val_loss: 0.00293144 | Time: 8646 ms [2020-11-11 00:35:23 main:574] : INFO : Epoch 74 | loss: 0.00284097 | val_loss: 0.00282153 | Time: 7974.01 ms [2020-11-11 00:35:31 main:574] : INFO : Epoch 75 | loss: 0.00273084 | val_loss: 0.00270992 | Time: 8327.31 ms [2020-11-11 00:35:39 main:574] : INFO : Epoch 76 | loss: 0.002624 | val_loss: 0.00260134 | Time: 8260.21 ms [2020-11-11 00:35:48 main:574] : INFO : Epoch 77 | loss: 0.00252147 | val_loss: 0.00250098 | Time: 8799.36 ms [2020-11-11 00:35:57 main:574] : INFO : Epoch 78 | loss: 0.00242356 | val_loss: 0.00240329 | Time: 8749.44 ms [2020-11-11 00:36:06 main:574] : INFO : Epoch 79 | loss: 0.00232777 | val_loss: 0.00230793 | Time: 8583.01 ms [2020-11-11 00:36:14 main:574] : INFO : Epoch 80 | loss: 0.00223712 | val_loss: 0.00221974 | Time: 7913.72 ms [2020-11-11 00:36:22 main:574] : INFO : Epoch 81 | loss: 0.00214898 | val_loss: 0.00213425 | Time: 7733.75 ms [2020-11-11 00:36:30 main:574] : INFO : Epoch 82 | loss: 0.00206476 | val_loss: 0.00204785 | Time: 8043.87 ms [2020-11-11 00:36:39 main:574] : INFO : Epoch 83 | loss: 0.0019846 | val_loss: 0.00196809 | Time: 8125.99 ms [2020-11-11 00:36:48 main:574] : INFO : Epoch 84 | loss: 0.00190482 | val_loss: 0.00189187 | Time: 8861.28 ms [2020-11-11 00:36:56 main:574] : INFO : Epoch 85 | loss: 0.00182964 | val_loss: 0.00181732 | Time: 7838.41 ms [2020-11-11 00:37:05 main:574] : INFO : Epoch 86 | loss: 0.00175808 | val_loss: 0.00174732 | Time: 8292.64 ms [2020-11-11 00:37:14 main:574] : INFO : Epoch 87 | loss: 0.00168997 | val_loss: 0.00168024 | Time: 9642.7 ms [2020-11-11 00:37:22 main:574] : INFO : Epoch 88 | loss: 0.00162287 | val_loss: 0.00161367 | Time: 7529.52 ms [2020-11-11 00:37:29 main:574] : INFO : Epoch 89 | loss: 0.00156002 | val_loss: 0.00154781 | Time: 6787.61 ms [2020-11-11 00:37:35 main:574] : INFO : Epoch 90 | loss: 0.00149722 | val_loss: 0.00149001 | Time: 5716.12 ms [2020-11-11 00:37:40 main:574] : INFO : Epoch 91 | loss: 0.00144111 | val_loss: 0.0014309 | Time: 5832.88 ms [2020-11-11 00:37:48 main:574] : INFO : Epoch 92 | loss: 0.00138448 | val_loss: 0.00137494 | Time: 7174.28 ms [2020-11-11 00:37:55 main:574] : INFO : Epoch 93 | loss: 0.00133069 | val_loss: 0.00132525 | Time: 7625.22 ms [2020-11-11 00:38:03 main:574] : INFO : Epoch 94 | loss: 0.00127942 | val_loss: 0.00127546 | Time: 7937.32 ms [2020-11-11 00:38:11 main:574] : INFO : Epoch 95 | loss: 0.00123128 | val_loss: 0.00122409 | Time: 7649.28 ms [2020-11-11 00:38:19 main:574] : INFO : Epoch 96 | loss: 0.00118378 | val_loss: 0.00117669 | Time: 7965.38 ms [2020-11-11 00:38:25 main:574] : INFO : Epoch 97 | loss: 0.00113898 | val_loss: 0.00113302 | Time: 6165.16 ms [2020-11-11 00:38:31 main:574] : INFO : Epoch 98 | loss: 0.00109553 | val_loss: 0.00108972 | Time: 5704.59 ms [2020-11-11 00:38:39 main:574] : INFO : Epoch 99 | loss: 0.00105472 | val_loss: 0.00105311 | Time: 7410.37 ms [2020-11-11 00:38:49 main:574] : INFO : Epoch 100 | loss: 0.00101528 | val_loss: 0.0010116 | Time: 9149.36 ms [2020-11-11 00:38:57 main:574] : INFO : Epoch 101 | loss: 0.000977323 | val_loss: 0.000974777 | Time: 8406.03 ms [2020-11-11 00:39:06 main:574] : INFO : Epoch 102 | loss: 0.000941869 | val_loss: 0.0009388 | Time: 8947.82 ms [2020-11-11 00:39:14 main:574] : INFO : Epoch 103 | loss: 0.000906859 | val_loss: 0.00090675 | Time: 7850.71 ms [2020-11-11 00:39:23 main:574] : INFO : Epoch 104 | loss: 0.000873118 | val_loss: 0.000876455 | Time: 8519.75 ms [2020-11-11 00:39:31 main:574] : INFO : Epoch 105 | loss: 0.000842454 | val_loss: 0.000843891 | Time: 8371.55 ms [2020-11-11 00:39:40 main:574] : INFO : Epoch 106 | loss: 0.000813257 | val_loss: 0.00081378 | Time: 8374.03 ms [2020-11-11 00:39:49 main:574] : INFO : Epoch 107 | loss: 0.000783894 | val_loss: 0.000784956 | Time: 9287.51 ms [2020-11-11 00:39:58 main:574] : INFO : Epoch 108 | loss: 0.000756519 | val_loss: 0.000759497 | Time: 8639.11 ms [2020-11-11 00:40:07 main:574] : INFO : Epoch 109 | loss: 0.000731291 | val_loss: 0.00073683 | Time: 8765.2 ms [2020-11-11 00:40:15 main:574] : INFO : Epoch 110 | loss: 0.000707505 | val_loss: 0.000709364 | Time: 8594.4 ms [2020-11-11 00:40:24 main:574] : INFO : Epoch 111 | loss: 0.000682794 | val_loss: 0.000685212 | Time: 8731.14 ms [2020-11-11 00:40:33 main:574] : INFO : Epoch 112 | loss: 0.000661675 | val_loss: 0.000663708 | Time: 9032.68 ms [2020-11-11 00:40:42 main:574] : INFO : Epoch 113 | loss: 0.000640658 | val_loss: 0.000645039 | Time: 8258.51 ms [2020-11-11 00:40:50 main:574] : INFO : Epoch 114 | loss: 0.00062037 | val_loss: 0.000626022 | Time: 8015.7 ms [2020-11-11 00:40:58 main:574] : INFO : Epoch 115 | loss: 0.000600244 | val_loss: 0.000607095 | Time: 8711.75 ms [2020-11-11 00:41:07 main:574] : INFO : Epoch 116 | loss: 0.000581978 | val_loss: 0.000589203 | Time: 8806.6 ms [2020-11-11 00:41:16 main:574] : INFO : Epoch 117 | loss: 0.000564492 | val_loss: 0.000571304 | Time: 8095.78 ms [2020-11-11 00:41:24 main:574] : INFO : Epoch 118 | loss: 0.000547544 | val_loss: 0.000553638 | Time: 8337.01 ms [2020-11-11 00:41:33 main:574] : INFO : Epoch 119 | loss: 0.000530557 | val_loss: 0.000537483 | Time: 8907.88 ms [2020-11-11 00:41:42 main:574] : INFO : Epoch 120 | loss: 0.000515099 | val_loss: 0.000521928 | Time: 8585.46 ms [2020-11-11 00:41:51 main:574] : INFO : Epoch 121 | loss: 0.000500178 | val_loss: 0.000507761 | Time: 8809.47 ms [2020-11-11 00:42:00 main:574] : INFO : Epoch 122 | loss: 0.000485388 | val_loss: 0.000492942 | Time: 8495.18 ms [2020-11-11 00:42:08 main:574] : INFO : Epoch 123 | loss: 0.000471697 | val_loss: 0.000480563 | Time: 8740.22 ms [2020-11-11 00:42:17 main:574] : INFO : Epoch 124 | loss: 0.000458785 | val_loss: 0.00046655 | Time: 8234.04 ms [2020-11-11 00:42:25 main:574] : INFO : Epoch 125 | loss: 0.000446147 | val_loss: 0.000451018 | Time: 8359.98 ms [2020-11-11 00:42:33 main:574] : INFO : Epoch 126 | loss: 0.000433427 | val_loss: 0.000442488 | Time: 8172.58 ms [2020-11-11 00:42:43 main:574] : INFO : Epoch 127 | loss: 0.000421738 | val_loss: 0.000428563 | Time: 9126.29 ms [2020-11-11 00:42:51 main:574] : INFO : Epoch 128 | loss: 0.000410122 | val_loss: 0.000418408 | Time: 8565.01 ms [2020-11-11 00:43:00 main:574] : INFO : Epoch 129 | loss: 0.000400574 | val_loss: 0.000406428 | Time: 8878.19 ms [2020-11-11 00:43:09 main:574] : INFO : Epoch 130 | loss: 0.000389571 | val_loss: 0.000399749 | Time: 8822.73 ms [2020-11-11 00:43:18 main:574] : INFO : Epoch 131 | loss: 0.000379247 | val_loss: 0.000387561 | Time: 8927.7 ms [2020-11-11 00:43:27 main:574] : INFO : Epoch 132 | loss: 0.00037036 | val_loss: 0.000377501 | Time: 8660.87 ms [2020-11-11 00:43:36 main:574] : INFO : Epoch 133 | loss: 0.000361243 | val_loss: 0.000370546 | Time: 8277.03 ms [2020-11-11 00:43:44 main:574] : INFO : Epoch 134 | loss: 0.000352649 | val_loss: 0.000359613 | Time: 8671.51 ms [2020-11-11 00:43:54 main:574] : INFO : Epoch 135 | loss: 0.000343604 | val_loss: 0.000350331 | Time: 9469.01 ms [2020-11-11 00:44:02 main:574] : INFO : Epoch 136 | loss: 0.000335085 | val_loss: 0.000341974 | Time: 8336.37 ms [2020-11-11 00:44:11 main:574] : INFO : Epoch 137 | loss: 0.000326838 | val_loss: 0.00033669 | Time: 8669.92 ms [2020-11-11 00:44:19 main:574] : INFO : Epoch 138 | loss: 0.00031977 | val_loss: 0.000328887 | Time: 8299.94 ms [2020-11-11 00:44:28 main:574] : INFO : Epoch 139 | loss: 0.000312444 | val_loss: 0.000318048 | Time: 8188.1 ms [2020-11-11 00:44:36 main:574] : INFO : Epoch 140 | loss: 0.00030367 | val_loss: 0.000310101 | Time: 8545.55 ms [2020-11-11 00:44:45 main:574] : INFO : Epoch 141 | loss: 0.000297091 | val_loss: 0.000304429 | Time: 8817.33 ms [2020-11-11 00:44:54 main:574] : INFO : Epoch 142 | loss: 0.000290768 | val_loss: 0.000297997 | Time: 8664.71 ms [2020-11-11 00:45:02 main:574] : INFO : Epoch 143 | loss: 0.000285611 | val_loss: 0.000294671 | Time: 8279.46 ms [2020-11-11 00:45:11 main:574] : INFO : Epoch 144 | loss: 0.000278993 | val_loss: 0.000285816 | Time: 8355.52 ms [2020-11-11 00:45:19 main:574] : INFO : Epoch 145 | loss: 0.000273443 | val_loss: 0.000281437 | Time: 8237.89 ms [2020-11-11 00:45:28 main:574] : INFO : Epoch 146 | loss: 0.000267987 | val_loss: 0.000276007 | Time: 8622.07 ms [2020-11-11 00:45:37 main:574] : INFO : Epoch 147 | loss: 0.000262021 | val_loss: 0.00026701 | Time: 9056.18 ms [2020-11-11 00:45:46 main:574] : INFO : Epoch 148 | loss: 0.000256467 | val_loss: 0.000261789 | Time: 9193.82 ms [2020-11-11 00:45:55 main:574] : INFO : Epoch 149 | loss: 0.000250911 | val_loss: 0.000256743 | Time: 8936.15 ms [2020-11-11 00:46:04 main:574] : INFO : Epoch 150 | loss: 0.000245422 | val_loss: 0.000250096 | Time: 8548.14 ms [2020-11-11 00:46:12 main:574] : INFO : Epoch 151 | loss: 0.000241036 | val_loss: 0.000249613 | Time: 8268.83 ms [2020-11-11 00:46:20 main:574] : INFO : Epoch 152 | loss: 0.00023626 | val_loss: 0.00024299 | Time: 8354.18 ms [2020-11-11 00:46:29 main:574] : INFO : Epoch 153 | loss: 0.000231857 | val_loss: 0.000239052 | Time: 8815.21 ms [2020-11-11 00:46:38 main:574] : INFO : Epoch 154 | loss: 0.000228998 | val_loss: 0.000233745 | Time: 8602.65 ms [2020-11-11 00:46:46 main:574] : INFO : Epoch 155 | loss: 0.000224 | val_loss: 0.00022804 | Time: 8005.22 ms [2020-11-11 00:46:54 main:574] : INFO : Epoch 156 | loss: 0.000219541 | val_loss: 0.000226333 | Time: 8127.32 ms [2020-11-11 00:47:04 main:574] : INFO : Epoch 157 | loss: 0.000216327 | val_loss: 0.00022252 | Time: 8882.4 ms [2020-11-11 00:47:12 main:574] : INFO : Epoch 158 | loss: 0.000212497 | val_loss: 0.000218015 | Time: 8716.47 ms [2020-11-11 00:47:21 main:574] : INFO : Epoch 159 | loss: 0.000208388 | val_loss: 0.000214689 | Time: 9072.46 ms [2020-11-11 00:47:30 main:574] : INFO : Epoch 160 | loss: 0.000205176 | val_loss: 0.00021088 | Time: 8688.44 ms [2020-11-11 00:47:39 main:574] : INFO : Epoch 161 | loss: 0.0002014 | val_loss: 0.000209267 | Time: 8464.6 ms [2020-11-11 00:47:48 main:574] : INFO : Epoch 162 | loss: 0.00019976 | val_loss: 0.000203463 | Time: 8957.48 ms [2020-11-11 00:47:56 main:574] : INFO : Epoch 163 | loss: 0.000195961 | val_loss: 0.000203923 | Time: 8534.38 ms [2020-11-11 00:48:05 main:574] : INFO : Epoch 164 | loss: 0.000193017 | val_loss: 0.000202111 | Time: 8306.26 ms [2020-11-11 00:48:14 main:574] : INFO : Epoch 165 | loss: 0.000189956 | val_loss: 0.000198818 | Time: 8946.78 ms [2020-11-11 00:48:23 main:574] : INFO : Epoch 166 | loss: 0.000187656 | val_loss: 0.000192352 | Time: 8990.52 ms [2020-11-11 00:48:31 main:574] : INFO : Epoch 167 | loss: 0.000184351 | val_loss: 0.000190765 | Time: 8409.83 ms [2020-11-11 00:48:40 main:574] : INFO : Epoch 168 | loss: 0.000181757 | val_loss: 0.000187505 | Time: 8673.09 ms [2020-11-11 00:48:49 main:574] : INFO : Epoch 169 | loss: 0.000179187 | val_loss: 0.000185783 | Time: 8713.93 ms [2020-11-11 00:48:57 main:574] : INFO : Epoch 170 | loss: 0.000176801 | val_loss: 0.000182188 | Time: 7826.54 ms [2020-11-11 00:49:05 main:574] : INFO : Epoch 171 | loss: 0.000174057 | val_loss: 0.000180982 | Time: 8446.36 ms [2020-11-11 00:49:13 main:574] : INFO : Epoch 172 | loss: 0.000171988 | val_loss: 0.000178855 | Time: 7936.29 ms [2020-11-11 00:49:22 main:574] : INFO : Epoch 173 | loss: 0.000170327 | val_loss: 0.000175609 | Time: 8219.3 ms [2020-11-11 00:49:31 main:574] : INFO : Epoch 174 | loss: 0.000167891 | val_loss: 0.00017279 | Time: 9191.73 ms [2020-11-11 00:49:39 main:574] : INFO : Epoch 175 | loss: 0.000165363 | val_loss: 0.000171229 | Time: 8349.52 ms [2020-11-11 00:49:47 main:574] : INFO : Epoch 176 | loss: 0.000163356 | val_loss: 0.000168899 | Time: 7927.72 ms [2020-11-11 00:49:56 main:574] : INFO : Epoch 177 | loss: 0.000161247 | val_loss: 0.000169518 | Time: 8746.47 ms [2020-11-11 00:50:05 main:574] : INFO : Epoch 178 | loss: 0.000158934 | val_loss: 0.00016356 | Time: 8455.7 ms [2020-11-11 00:50:13 main:574] : INFO : Epoch 179 | loss: 0.000156749 | val_loss: 0.000162394 | Time: 8580.72 ms [2020-11-11 00:50:22 main:574] : INFO : Epoch 180 | loss: 0.000155382 | val_loss: 0.000161611 | Time: 8113.91 ms [2020-11-11 00:50:30 main:574] : INFO : Epoch 181 | loss: 0.000152863 | val_loss: 0.000157899 | Time: 8463.07 ms [2020-11-11 00:50:38 main:574] : INFO : Epoch 182 | loss: 0.000151464 | val_loss: 0.000159031 | Time: 7995.35 ms [2020-11-11 00:50:47 main:574] : INFO : Epoch 183 | loss: 0.000149598 | val_loss: 0.000156011 | Time: 8361.21 ms [2020-11-11 00:50:55 main:574] : INFO : Epoch 184 | loss: 0.000147639 | val_loss: 0.000155003 | Time: 8476.19 ms [2020-11-11 00:51:03 main:574] : INFO : Epoch 185 | loss: 0.000145869 | val_loss: 0.00015378 | Time: 8118.84 ms [2020-11-11 00:51:12 main:574] : INFO : Epoch 186 | loss: 0.000144378 | val_loss: 0.000149731 | Time: 8424.41 ms [2020-11-11 00:51:20 main:574] : INFO : Epoch 187 | loss: 0.000143932 | val_loss: 0.000149002 | Time: 8452.64 ms [2020-11-11 00:51:28 main:574] : INFO : Epoch 188 | loss: 0.000141325 | val_loss: 0.00014463 | Time: 8070.77 ms [2020-11-11 00:51:37 main:574] : INFO : Epoch 189 | loss: 0.000139446 | val_loss: 0.000144441 | Time: 8482.77 ms [2020-11-11 00:51:46 main:574] : INFO : Epoch 190 | loss: 0.000137659 | val_loss: 0.000142774 | Time: 8688.54 ms [2020-11-11 00:51:55 main:574] : INFO : Epoch 191 | loss: 0.000136279 | val_loss: 0.000140978 | Time: 8670.87 ms [2020-11-11 00:52:03 main:574] : INFO : Epoch 192 | loss: 0.000134914 | val_loss: 0.000140516 | Time: 8510.77 ms [2020-11-11 00:52:03 main:597] : INFO : Saving trained model to model-final.pt, val_loss 0.000140516 [2020-11-11 00:52:03 main:603] : INFO : Saving end state to config to file [2020-11-11 00:52:03 main:608] : INFO : Success, exiting.. 00:52:03 (9412): 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)