| Name | rand_automata_0057-1604947543-23598-0_3 |
| Workunit | 1259478 |
| Created | 10 Nov 2020, 18:38:52 UTC |
| Sent | 10 Nov 2020, 18:39:07 UTC |
| Report deadline | 11 Nov 2020, 17:09:07 UTC |
| Received | 10 Nov 2020, 19:00:16 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 574 |
| Run time | 20 min 10 sec |
| CPU time | 19 min 32 sec |
| Validate state | Valid |
| Credit | 959.40 |
| Device peak FLOPS | 1,475.31 GFLOPS |
| Application version | Machine Learning Dataset Generator (test) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 1.41 GB |
| Peak swap size | 3.00 GB |
| Peak disk usage | 1.53 GB |
<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 750 Ti) [2020-11-10 19:39:53 main:435] : INFO : Set logging level to 1 [2020-11-10 19:39:53 main:441] : INFO : Running in BOINC Client mode [2020-11-10 19:39:53 main:444] : INFO : Resolving all filenames [2020-11-10 19:39:53 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0057-train-val-dataset.hdf5 (exists = 1) [2020-11-10 19:39:53 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0057-1604947543-23598-0_3_r1961424705_1 (exists = 0) [2020-11-10 19:39:53 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0057-1604947543-23598-0_3_r1961424705_0 (exists = 0) [2020-11-10 19:39:53 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-10 19:39:53 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-10 19:39:53 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0057-train-val-dataset.hdf5 [2020-11-10 19:39:53 main:474] : INFO : Configuration: [2020-11-10 19:39:53 main:475] : INFO : Model type: LSTM [2020-11-10 19:39:54 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-10 19:39:54 main:477] : INFO : Max Epochs: 192 [2020-11-10 19:39:54 main:478] : INFO : Batch Size: 32 [2020-11-10 19:39:54 main:479] : INFO : Learning Rate: 0.001 [2020-11-10 19:39:54 main:480] : INFO : Patience: 10 [2020-11-10 19:39:54 main:481] : INFO : Hidden Width: 64 [2020-11-10 19:39:54 main:482] : INFO : # Recurrent Layers: 4 [2020-11-10 19:39:54 main:483] : INFO : # Backend Layers: 2 [2020-11-10 19:39:54 main:484] : INFO : # Threads: 1 [2020-11-10 19:39:54 main:486] : INFO : Preparing Dataset [2020-11-10 19:39:54 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0057-train-val-dataset.hdf5 into memory [2020-11-10 19:39:54 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0057-train-val-dataset.hdf5 into memory [2020-11-10 19:39:57 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-10 19:39:57 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0057-train-val-dataset.hdf5 into memory [2020-11-10 19:39:57 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0057-train-val-dataset.hdf5 into memory [2020-11-10 19:39:57 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-10 19:39:57 main:494] : INFO : Creating Model [2020-11-10 19:39:57 main:507] : INFO : Preparing config file [2020-11-10 19:39:57 main:519] : INFO : Creating new config file [2020-11-10 19:39:58 main:559] : INFO : Loading DataLoader into Memory [2020-11-10 19:39:58 main:562] : INFO : Starting Training [2020-11-10 19:40:05 main:574] : INFO : Epoch 1 | loss: 0.066107 | val_loss: 0.065784 | Time: 6623.16 ms [2020-11-10 19:40:11 main:574] : INFO : Epoch 2 | loss: 0.065549 | val_loss: 0.0644714 | Time: 6123.11 ms [2020-11-10 19:40:17 main:574] : INFO : Epoch 3 | loss: 0.0628288 | val_loss: 0.0612966 | Time: 6055.98 ms [2020-11-10 19:40:24 main:574] : INFO : Epoch 4 | loss: 0.0599644 | val_loss: 0.058817 | Time: 6069.16 ms [2020-11-10 19:40:30 main:574] : INFO : Epoch 5 | loss: 0.0577348 | val_loss: 0.0569446 | Time: 6159.74 ms [2020-11-10 19:40:36 main:574] : INFO : Epoch 6 | loss: 0.0562277 | val_loss: 0.0557575 | Time: 5976.85 ms [2020-11-10 19:40:42 main:574] : INFO : Epoch 7 | loss: 0.0550294 | val_loss: 0.0545517 | Time: 6138.1 ms [2020-11-10 19:40:48 main:574] : INFO : Epoch 8 | loss: 0.0539293 | val_loss: 0.0536242 | Time: 6094.1 ms [2020-11-10 19:40:54 main:574] : INFO : Epoch 9 | loss: 0.0528392 | val_loss: 0.0524197 | Time: 6257.22 ms [2020-11-10 19:41:01 main:574] : INFO : Epoch 10 | loss: 0.0516792 | val_loss: 0.0512789 | Time: 6238.56 ms [2020-11-10 19:41:07 main:574] : INFO : Epoch 11 | loss: 0.0504696 | val_loss: 0.0500861 | Time: 6457.52 ms [2020-11-10 19:41:14 main:574] : INFO : Epoch 12 | loss: 0.0491147 | val_loss: 0.0487519 | Time: 6243.4 ms [2020-11-10 19:41:20 main:574] : INFO : Epoch 13 | loss: 0.047578 | val_loss: 0.0470875 | Time: 6521.75 ms [2020-11-10 19:41:26 main:574] : INFO : Epoch 14 | loss: 0.0458342 | val_loss: 0.0455845 | Time: 6380.12 ms [2020-11-10 19:41:33 main:574] : INFO : Epoch 15 | loss: 0.0437661 | val_loss: 0.0438078 | Time: 6357.43 ms [2020-11-10 19:41:39 main:574] : INFO : Epoch 16 | loss: 0.0415066 | val_loss: 0.0411365 | Time: 6154.69 ms [2020-11-10 19:41:45 main:574] : INFO : Epoch 17 | loss: 0.0388703 | val_loss: 0.0384268 | Time: 6283.38 ms [2020-11-10 19:41:52 main:574] : INFO : Epoch 18 | loss: 0.0359798 | val_loss: 0.036592 | Time: 6212.98 ms [2020-11-10 19:41:58 main:574] : INFO : Epoch 19 | loss: 0.033422 | val_loss: 0.0337757 | Time: 6085.41 ms [2020-11-10 19:42:04 main:574] : INFO : Epoch 20 | loss: 0.0336759 | val_loss: 0.0306397 | Time: 6126.32 ms [2020-11-10 19:42:10 main:574] : INFO : Epoch 21 | loss: 0.0280989 | val_loss: 0.0291716 | Time: 6114.75 ms [2020-11-10 19:42:16 main:574] : INFO : Epoch 22 | loss: 0.0288534 | val_loss: 0.0304076 | Time: 6092.48 ms [2020-11-10 19:42:23 main:574] : INFO : Epoch 23 | loss: 0.0278635 | val_loss: 0.0256879 | Time: 6329.79 ms [2020-11-10 19:42:29 main:574] : INFO : Epoch 24 | loss: 0.0249873 | val_loss: 0.0251842 | Time: 6104.54 ms [2020-11-10 19:42:35 main:574] : INFO : Epoch 25 | loss: 0.0192264 | val_loss: 0.0201073 | Time: 6083.48 ms [2020-11-10 19:42:41 main:574] : INFO : Epoch 26 | loss: 0.0192996 | val_loss: 0.0152097 | Time: 6173.47 ms [2020-11-10 19:42:47 main:574] : INFO : Epoch 27 | loss: 0.0176618 | val_loss: 0.0165064 | Time: 6005.81 ms [2020-11-10 19:42:54 main:574] : INFO : Epoch 28 | loss: 0.0128678 | val_loss: 0.0119667 | Time: 6295.26 ms [2020-11-10 19:43:00 main:574] : INFO : Epoch 29 | loss: 0.0107987 | val_loss: 0.0108247 | Time: 6166 ms [2020-11-10 19:43:06 main:574] : INFO : Epoch 30 | loss: 0.0103743 | val_loss: 0.0106629 | Time: 5949.9 ms [2020-11-10 19:43:12 main:574] : INFO : Epoch 31 | loss: 0.0129977 | val_loss: 0.0530017 | Time: 6062.73 ms [2020-11-10 19:43:18 main:574] : INFO : Epoch 32 | loss: 0.0313051 | val_loss: 0.0136094 | Time: 6152.19 ms [2020-11-10 19:43:24 main:574] : INFO : Epoch 33 | loss: 0.0450827 | val_loss: 0.0615461 | Time: 6113.37 ms [2020-11-10 19:43:30 main:574] : INFO : Epoch 34 | loss: 0.0610931 | val_loss: 0.0608584 | Time: 6119.98 ms [2020-11-10 19:43:37 main:574] : INFO : Epoch 35 | loss: 0.0605655 | val_loss: 0.0604304 | Time: 6145.95 ms [2020-11-10 19:43:43 main:574] : INFO : Epoch 36 | loss: 0.0601335 | val_loss: 0.0600014 | Time: 6155.24 ms [2020-11-10 19:43:49 main:574] : INFO : Epoch 37 | loss: 0.059661 | val_loss: 0.0595024 | Time: 6115.32 ms [2020-11-10 19:43:55 main:574] : INFO : Epoch 38 | loss: 0.0590926 | val_loss: 0.0588684 | Time: 6150.8 ms [2020-11-10 19:44:01 main:574] : INFO : Epoch 39 | loss: 0.0583604 | val_loss: 0.0580245 | Time: 6075.92 ms [2020-11-10 19:44:08 main:574] : INFO : Epoch 40 | loss: 0.057353 | val_loss: 0.0568561 | Time: 6230.41 ms [2020-11-10 19:44:14 main:574] : INFO : Epoch 41 | loss: 0.0559598 | val_loss: 0.0552849 | Time: 6100.37 ms [2020-11-10 19:44:20 main:574] : INFO : Epoch 42 | loss: 0.0539429 | val_loss: 0.0527685 | Time: 6206.28 ms [2020-11-10 19:44:26 main:574] : INFO : Epoch 43 | loss: 0.0505054 | val_loss: 0.0479995 | Time: 6103.85 ms [2020-11-10 19:44:32 main:574] : INFO : Epoch 44 | loss: 0.0420461 | val_loss: 0.0343245 | Time: 6105.82 ms [2020-11-10 19:44:39 main:574] : INFO : Epoch 45 | loss: 0.026557 | val_loss: 0.0200471 | Time: 6101.3 ms [2020-11-10 19:44:45 main:574] : INFO : Epoch 46 | loss: 0.0162664 | val_loss: 0.0139097 | Time: 5987.67 ms [2020-11-10 19:44:51 main:574] : INFO : Epoch 47 | loss: 0.0186813 | val_loss: 0.0150296 | Time: 6106.79 ms [2020-11-10 19:44:57 main:574] : INFO : Epoch 48 | loss: 0.0156094 | val_loss: 0.0131846 | Time: 6218.4 ms [2020-11-10 19:45:03 main:574] : INFO : Epoch 49 | loss: 0.0113786 | val_loss: 0.0109041 | Time: 6279.04 ms [2020-11-10 19:45:10 main:574] : INFO : Epoch 50 | loss: 0.0112974 | val_loss: 0.0101003 | Time: 6347.02 ms [2020-11-10 19:45:16 main:574] : INFO : Epoch 51 | loss: 0.00937565 | val_loss: 0.00931779 | Time: 6137.36 ms [2020-11-10 19:45:22 main:574] : INFO : Epoch 52 | loss: 0.00887349 | val_loss: 0.00892232 | Time: 6072.21 ms [2020-11-10 19:45:28 main:574] : INFO : Epoch 53 | loss: 0.00851382 | val_loss: 0.00863687 | Time: 6112.23 ms [2020-11-10 19:45:34 main:574] : INFO : Epoch 54 | loss: 0.00827934 | val_loss: 0.00831768 | Time: 6033.29 ms [2020-11-10 19:45:40 main:574] : INFO : Epoch 55 | loss: 0.00798475 | val_loss: 0.0080286 | Time: 6101.79 ms [2020-11-10 19:45:46 main:574] : INFO : Epoch 56 | loss: 0.00774191 | val_loss: 0.00786068 | Time: 5995.94 ms [2020-11-10 19:45:53 main:574] : INFO : Epoch 57 | loss: 0.0075222 | val_loss: 0.00757838 | Time: 6111.31 ms [2020-11-10 19:45:59 main:574] : INFO : Epoch 58 | loss: 0.00730767 | val_loss: 0.00737001 | Time: 6327.29 ms [2020-11-10 19:46:05 main:574] : INFO : Epoch 59 | loss: 0.00711128 | val_loss: 0.00716475 | Time: 6288.96 ms [2020-11-10 19:46:12 main:574] : INFO : Epoch 60 | loss: 0.00692898 | val_loss: 0.00698064 | Time: 6172.13 ms [2020-11-10 19:46:18 main:574] : INFO : Epoch 61 | loss: 0.00674212 | val_loss: 0.00676201 | Time: 5964.38 ms [2020-11-10 19:46:24 main:574] : INFO : Epoch 62 | loss: 0.00656249 | val_loss: 0.00656477 | Time: 6219.55 ms [2020-11-10 19:46:30 main:574] : INFO : Epoch 63 | loss: 0.00638745 | val_loss: 0.00639293 | Time: 6144.64 ms [2020-11-10 19:46:36 main:574] : INFO : Epoch 64 | loss: 0.0062175 | val_loss: 0.00620692 | Time: 6212.71 ms [2020-11-10 19:46:43 main:574] : INFO : Epoch 65 | loss: 0.00603614 | val_loss: 0.00603094 | Time: 6217.37 ms [2020-11-10 19:46:49 main:574] : INFO : Epoch 66 | loss: 0.00587478 | val_loss: 0.00601713 | Time: 6153.82 ms [2020-11-10 19:46:55 main:574] : INFO : Epoch 67 | loss: 0.00574858 | val_loss: 0.00569647 | Time: 6243.15 ms [2020-11-10 19:47:01 main:574] : INFO : Epoch 68 | loss: 0.00555344 | val_loss: 0.00552524 | Time: 5922.67 ms [2020-11-10 19:47:07 main:574] : INFO : Epoch 69 | loss: 0.00539541 | val_loss: 0.00536216 | Time: 6059.02 ms [2020-11-10 19:47:13 main:574] : INFO : Epoch 70 | loss: 0.00524084 | val_loss: 0.00521218 | Time: 6021.52 ms [2020-11-10 19:47:19 main:574] : INFO : Epoch 71 | loss: 0.00508599 | val_loss: 0.00506016 | Time: 6200.84 ms [2020-11-10 19:47:26 main:574] : INFO : Epoch 72 | loss: 0.00493754 | val_loss: 0.00490019 | Time: 6244.25 ms [2020-11-10 19:47:32 main:574] : INFO : Epoch 73 | loss: 0.00479041 | val_loss: 0.00474974 | Time: 6065.66 ms [2020-11-10 19:47:38 main:574] : INFO : Epoch 74 | loss: 0.00464051 | val_loss: 0.0046035 | Time: 6072.3 ms [2020-11-10 19:47:44 main:574] : INFO : Epoch 75 | loss: 0.00450653 | val_loss: 0.00445848 | Time: 6178.94 ms [2020-11-10 19:47:50 main:574] : INFO : Epoch 76 | loss: 0.00435586 | val_loss: 0.00430572 | Time: 6182.39 ms [2020-11-10 19:47:56 main:574] : INFO : Epoch 77 | loss: 0.0042151 | val_loss: 0.00416503 | Time: 5994.85 ms [2020-11-10 19:48:03 main:574] : INFO : Epoch 78 | loss: 0.00638823 | val_loss: 0.0047906 | Time: 6354.32 ms [2020-11-10 19:48:09 main:574] : INFO : Epoch 79 | loss: 0.00431186 | val_loss: 0.00408571 | Time: 6197.78 ms [2020-11-10 19:48:15 main:574] : INFO : Epoch 80 | loss: 0.00396813 | val_loss: 0.0038901 | Time: 6192.36 ms [2020-11-10 19:48:22 main:574] : INFO : Epoch 81 | loss: 0.00380416 | val_loss: 0.0037469 | Time: 6113.36 ms [2020-11-10 19:48:28 main:574] : INFO : Epoch 82 | loss: 0.00367139 | val_loss: 0.00362115 | Time: 6132.22 ms [2020-11-10 19:48:34 main:574] : INFO : Epoch 83 | loss: 0.0035516 | val_loss: 0.00350205 | Time: 6237.6 ms [2020-11-10 19:48:40 main:574] : INFO : Epoch 84 | loss: 0.00343781 | val_loss: 0.00339099 | Time: 6043.4 ms [2020-11-10 19:48:46 main:574] : INFO : Epoch 85 | loss: 0.00332899 | val_loss: 0.00328217 | Time: 6148.31 ms [2020-11-10 19:48:52 main:574] : INFO : Epoch 86 | loss: 0.00322131 | val_loss: 0.00318148 | Time: 6077.03 ms [2020-11-10 19:48:59 main:574] : INFO : Epoch 87 | loss: 0.00311596 | val_loss: 0.0030694 | Time: 6397.3 ms [2020-11-10 19:49:05 main:574] : INFO : Epoch 88 | loss: 0.00301301 | val_loss: 0.00297069 | Time: 6255.11 ms [2020-11-10 19:49:11 main:574] : INFO : Epoch 89 | loss: 0.00291311 | val_loss: 0.00287148 | Time: 6214.65 ms [2020-11-10 19:49:17 main:574] : INFO : Epoch 90 | loss: 0.00281486 | val_loss: 0.00277316 | Time: 6030.05 ms [2020-11-10 19:49:24 main:574] : INFO : Epoch 91 | loss: 0.00271849 | val_loss: 0.00267703 | Time: 6025.96 ms [2020-11-10 19:49:30 main:574] : INFO : Epoch 92 | loss: 0.0026246 | val_loss: 0.00258225 | Time: 6115.78 ms [2020-11-10 19:49:36 main:574] : INFO : Epoch 93 | loss: 0.00253334 | val_loss: 0.00249401 | Time: 6143.86 ms [2020-11-10 19:49:42 main:574] : INFO : Epoch 94 | loss: 0.00244325 | val_loss: 0.00240317 | Time: 6044.99 ms [2020-11-10 19:49:48 main:574] : INFO : Epoch 95 | loss: 0.00235585 | val_loss: 0.00231635 | Time: 6252.88 ms [2020-11-10 19:49:55 main:574] : INFO : Epoch 96 | loss: 0.00227106 | val_loss: 0.00223151 | Time: 6402.84 ms [2020-11-10 19:50:01 main:574] : INFO : Epoch 97 | loss: 0.00218812 | val_loss: 0.00214945 | Time: 6066.37 ms [2020-11-10 19:50:07 main:574] : INFO : Epoch 98 | loss: 0.0021075 | val_loss: 0.00207031 | Time: 6350.97 ms [2020-11-10 19:50:14 main:574] : INFO : Epoch 99 | loss: 0.00203056 | val_loss: 0.00199374 | Time: 6332.67 ms [2020-11-10 19:50:20 main:574] : INFO : Epoch 100 | loss: 0.00195391 | val_loss: 0.00191698 | Time: 6147.32 ms [2020-11-10 19:50:26 main:574] : INFO : Epoch 101 | loss: 0.00188052 | val_loss: 0.0018424 | Time: 6000.1 ms [2020-11-10 19:50:32 main:574] : INFO : Epoch 102 | loss: 0.0018095 | val_loss: 0.00177204 | Time: 6051.43 ms [2020-11-10 19:50:38 main:574] : INFO : Epoch 103 | loss: 0.00174137 | val_loss: 0.00170531 | Time: 6231.69 ms [2020-11-10 19:50:44 main:574] : INFO : Epoch 104 | loss: 0.00167461 | val_loss: 0.00163914 | Time: 6058.53 ms [2020-11-10 19:50:51 main:574] : INFO : Epoch 105 | loss: 0.00160981 | val_loss: 0.0015741 | Time: 6203.24 ms [2020-11-10 19:50:57 main:574] : INFO : Epoch 106 | loss: 0.00154797 | val_loss: 0.00151403 | Time: 6181.15 ms [2020-11-10 19:51:03 main:574] : INFO : Epoch 107 | loss: 0.00148818 | val_loss: 0.00145654 | Time: 6056.57 ms [2020-11-10 19:51:09 main:574] : INFO : Epoch 108 | loss: 0.00143066 | val_loss: 0.00139755 | Time: 6210.69 ms [2020-11-10 19:51:15 main:574] : INFO : Epoch 109 | loss: 0.00137495 | val_loss: 0.00134675 | Time: 6080.51 ms [2020-11-10 19:51:22 main:574] : INFO : Epoch 110 | loss: 0.00132062 | val_loss: 0.00128982 | Time: 6177.38 ms [2020-11-10 19:51:28 main:574] : INFO : Epoch 111 | loss: 0.00126851 | val_loss: 0.0012403 | Time: 6173.5 ms [2020-11-10 19:51:34 main:574] : INFO : Epoch 112 | loss: 0.00121841 | val_loss: 0.0011897 | Time: 6210.8 ms [2020-11-10 19:51:40 main:574] : INFO : Epoch 113 | loss: 0.00116923 | val_loss: 0.00113911 | Time: 6130.23 ms [2020-11-10 19:51:46 main:574] : INFO : Epoch 114 | loss: 0.00112248 | val_loss: 0.00109596 | Time: 6101.8 ms [2020-11-10 19:51:53 main:574] : INFO : Epoch 115 | loss: 0.00107752 | val_loss: 0.00105127 | Time: 6162.7 ms [2020-11-10 19:51:59 main:574] : INFO : Epoch 116 | loss: 0.00103379 | val_loss: 0.00100942 | Time: 6258.97 ms [2020-11-10 19:52:05 main:574] : INFO : Epoch 117 | loss: 0.000992796 | val_loss: 0.000968369 | Time: 5968 ms [2020-11-10 19:52:11 main:574] : INFO : Epoch 118 | loss: 0.000953196 | val_loss: 0.000927425 | Time: 6101.4 ms [2020-11-10 19:52:17 main:574] : INFO : Epoch 119 | loss: 0.000915456 | val_loss: 0.000891985 | Time: 6165.11 ms [2020-11-10 19:52:23 main:574] : INFO : Epoch 120 | loss: 0.000878315 | val_loss: 0.000855187 | Time: 6100.69 ms [2020-11-10 19:52:30 main:574] : INFO : Epoch 121 | loss: 0.000843686 | val_loss: 0.000822209 | Time: 6166.23 ms [2020-11-10 19:52:36 main:574] : INFO : Epoch 122 | loss: 0.000811092 | val_loss: 0.000791103 | Time: 6241.81 ms [2020-11-10 19:52:42 main:574] : INFO : Epoch 123 | loss: 0.000779524 | val_loss: 0.000760486 | Time: 6193.98 ms [2020-11-10 19:52:48 main:574] : INFO : Epoch 124 | loss: 0.000747531 | val_loss: 0.00073075 | Time: 6069.16 ms [2020-11-10 19:52:55 main:574] : INFO : Epoch 125 | loss: 0.000718482 | val_loss: 0.000700392 | Time: 6296.13 ms [2020-11-10 19:53:01 main:574] : INFO : Epoch 126 | loss: 0.000690211 | val_loss: 0.00067357 | Time: 6290.3 ms [2020-11-10 19:53:07 main:574] : INFO : Epoch 127 | loss: 0.00066267 | val_loss: 0.000648376 | Time: 6068.59 ms [2020-11-10 19:53:13 main:574] : INFO : Epoch 128 | loss: 0.000635945 | val_loss: 0.000622355 | Time: 6077.13 ms [2020-11-10 19:53:19 main:574] : INFO : Epoch 129 | loss: 0.000610756 | val_loss: 0.000599829 | Time: 6066.22 ms [2020-11-10 19:53:26 main:574] : INFO : Epoch 130 | loss: 0.000587129 | val_loss: 0.000575856 | Time: 6205.42 ms [2020-11-10 19:53:32 main:574] : INFO : Epoch 131 | loss: 0.000563499 | val_loss: 0.000554183 | Time: 6150.2 ms [2020-11-10 19:53:38 main:574] : INFO : Epoch 132 | loss: 0.000542612 | val_loss: 0.000532005 | Time: 6138.32 ms [2020-11-10 19:53:44 main:574] : INFO : Epoch 133 | loss: 0.000521735 | val_loss: 0.000510658 | Time: 6111.88 ms [2020-11-10 19:53:50 main:574] : INFO : Epoch 134 | loss: 0.000501395 | val_loss: 0.000493657 | Time: 6028.3 ms [2020-11-10 19:53:56 main:574] : INFO : Epoch 135 | loss: 0.000481643 | val_loss: 0.000473339 | Time: 6212.11 ms [2020-11-10 19:54:03 main:574] : INFO : Epoch 136 | loss: 0.000463827 | val_loss: 0.000456673 | Time: 6173.91 ms [2020-11-10 19:54:09 main:574] : INFO : Epoch 137 | loss: 0.000446685 | val_loss: 0.000439596 | Time: 6065.47 ms [2020-11-10 19:54:15 main:574] : INFO : Epoch 138 | loss: 0.000429537 | val_loss: 0.000419852 | Time: 6127.73 ms [2020-11-10 19:54:21 main:574] : INFO : Epoch 139 | loss: 0.000414203 | val_loss: 0.000408799 | Time: 5983.91 ms [2020-11-10 19:54:27 main:574] : INFO : Epoch 140 | loss: 0.000399148 | val_loss: 0.000392719 | Time: 6246.39 ms [2020-11-10 19:54:33 main:574] : INFO : Epoch 141 | loss: 0.00038465 | val_loss: 0.000379707 | Time: 6017.67 ms [2020-11-10 19:54:40 main:574] : INFO : Epoch 142 | loss: 0.00037111 | val_loss: 0.000367354 | Time: 6201.66 ms [2020-11-10 19:54:46 main:574] : INFO : Epoch 143 | loss: 0.000357618 | val_loss: 0.000350903 | Time: 6033.92 ms [2020-11-10 19:54:52 main:574] : INFO : Epoch 144 | loss: 0.000344909 | val_loss: 0.000339407 | Time: 6021.86 ms [2020-11-10 19:54:58 main:574] : INFO : Epoch 145 | loss: 0.000332786 | val_loss: 0.000328888 | Time: 6117.26 ms [2020-11-10 19:55:04 main:574] : INFO : Epoch 146 | loss: 0.000322145 | val_loss: 0.000319211 | Time: 6131.54 ms [2020-11-10 19:55:10 main:574] : INFO : Epoch 147 | loss: 0.000310597 | val_loss: 0.000307623 | Time: 6256.82 ms [2020-11-10 19:55:17 main:574] : INFO : Epoch 148 | loss: 0.000300529 | val_loss: 0.000296919 | Time: 6098.22 ms [2020-11-10 19:55:23 main:574] : INFO : Epoch 149 | loss: 0.000289725 | val_loss: 0.000286972 | Time: 6114.97 ms [2020-11-10 19:55:29 main:574] : INFO : Epoch 150 | loss: 0.000280436 | val_loss: 0.000276187 | Time: 6273.65 ms [2020-11-10 19:55:35 main:574] : INFO : Epoch 151 | loss: 0.000270973 | val_loss: 0.000268263 | Time: 6126.23 ms [2020-11-10 19:55:41 main:574] : INFO : Epoch 152 | loss: 0.000262366 | val_loss: 0.000259403 | Time: 6017.45 ms [2020-11-10 19:55:48 main:574] : INFO : Epoch 153 | loss: 0.000253318 | val_loss: 0.000251088 | Time: 6208.95 ms [2020-11-10 19:55:54 main:574] : INFO : Epoch 154 | loss: 0.000245846 | val_loss: 0.000242019 | Time: 6046.66 ms [2020-11-10 19:56:00 main:574] : INFO : Epoch 155 | loss: 0.000237414 | val_loss: 0.000234868 | Time: 6196.58 ms [2020-11-10 19:56:06 main:574] : INFO : Epoch 156 | loss: 0.000230493 | val_loss: 0.000227578 | Time: 6183.74 ms [2020-11-10 19:56:12 main:574] : INFO : Epoch 157 | loss: 0.000222981 | val_loss: 0.000222803 | Time: 6345.72 ms [2020-11-10 19:56:19 main:574] : INFO : Epoch 158 | loss: 0.000216467 | val_loss: 0.00021506 | Time: 6157.06 ms [2020-11-10 19:56:25 main:574] : INFO : Epoch 159 | loss: 0.000209733 | val_loss: 0.000209321 | Time: 6074.47 ms [2020-11-10 19:56:31 main:574] : INFO : Epoch 160 | loss: 0.000204317 | val_loss: 0.000202621 | Time: 6007.49 ms [2020-11-10 19:56:37 main:574] : INFO : Epoch 161 | loss: 0.000197396 | val_loss: 0.000195419 | Time: 5973.34 ms [2020-11-10 19:56:43 main:574] : INFO : Epoch 162 | loss: 0.000191766 | val_loss: 0.000192701 | Time: 6112.89 ms [2020-11-10 19:56:49 main:574] : INFO : Epoch 163 | loss: 0.000186869 | val_loss: 0.000186672 | Time: 6145.99 ms [2020-11-10 19:56:55 main:574] : INFO : Epoch 164 | loss: 0.000181047 | val_loss: 0.000179291 | Time: 6106.32 ms [2020-11-10 19:57:02 main:574] : INFO : Epoch 165 | loss: 0.000176054 | val_loss: 0.000174171 | Time: 6232.74 ms [2020-11-10 19:57:08 main:574] : INFO : Epoch 166 | loss: 0.000170532 | val_loss: 0.000170292 | Time: 6128.07 ms [2020-11-10 19:57:14 main:574] : INFO : Epoch 167 | loss: 0.000166541 | val_loss: 0.000165863 | Time: 6167.73 ms [2020-11-10 19:57:20 main:574] : INFO : Epoch 168 | loss: 0.000161725 | val_loss: 0.000160396 | Time: 6178.39 ms [2020-11-10 19:57:27 main:574] : INFO : Epoch 169 | loss: 0.000157708 | val_loss: 0.000157289 | Time: 6146.41 ms [2020-11-10 19:57:33 main:574] : INFO : Epoch 170 | loss: 0.000153551 | val_loss: 0.000151802 | Time: 6005.69 ms [2020-11-10 19:57:39 main:574] : INFO : Epoch 171 | loss: 0.000149513 | val_loss: 0.000149894 | Time: 6190.63 ms [2020-11-10 19:57:45 main:574] : INFO : Epoch 172 | loss: 0.000145753 | val_loss: 0.00014644 | Time: 6187.95 ms [2020-11-10 19:57:51 main:574] : INFO : Epoch 173 | loss: 0.0001426 | val_loss: 0.000142715 | Time: 5978.58 ms [2020-11-10 19:57:57 main:574] : INFO : Epoch 174 | loss: 0.000138899 | val_loss: 0.000139579 | Time: 6073.88 ms [2020-11-10 19:58:03 main:574] : INFO : Epoch 175 | loss: 0.000135316 | val_loss: 0.000135633 | Time: 6040.91 ms [2020-11-10 19:58:10 main:574] : INFO : Epoch 176 | loss: 0.000132598 | val_loss: 0.000132215 | Time: 6273.86 ms [2020-11-10 19:58:16 main:574] : INFO : Epoch 177 | loss: 0.000129312 | val_loss: 0.000129914 | Time: 6068.86 ms [2020-11-10 19:58:22 main:574] : INFO : Epoch 178 | loss: 0.000126152 | val_loss: 0.000126254 | Time: 6094.72 ms [2020-11-10 19:58:28 main:574] : INFO : Epoch 179 | loss: 0.000123515 | val_loss: 0.000124918 | Time: 6067.24 ms [2020-11-10 19:58:34 main:574] : INFO : Epoch 180 | loss: 0.000120842 | val_loss: 0.000121083 | Time: 6071.08 ms [2020-11-10 19:58:40 main:574] : INFO : Epoch 181 | loss: 0.000117882 | val_loss: 0.000117366 | Time: 6009.51 ms [2020-11-10 19:58:46 main:574] : INFO : Epoch 182 | loss: 0.000115415 | val_loss: 0.000115518 | Time: 6179.21 ms [2020-11-10 19:58:52 main:574] : INFO : Epoch 183 | loss: 0.000113074 | val_loss: 0.000113308 | Time: 5989.94 ms [2020-11-10 19:58:59 main:574] : INFO : Epoch 184 | loss: 0.000111339 | val_loss: 0.000109859 | Time: 6020.19 ms [2020-11-10 19:59:05 main:574] : INFO : Epoch 185 | loss: 0.000108815 | val_loss: 0.00010942 | Time: 6305.58 ms [2020-11-10 19:59:11 main:574] : INFO : Epoch 186 | loss: 0.000106484 | val_loss: 0.00010624 | Time: 6071.57 ms [2020-11-10 19:59:17 main:574] : INFO : Epoch 187 | loss: 0.000104203 | val_loss: 0.000105719 | Time: 6332.99 ms [2020-11-10 19:59:24 main:574] : INFO : Epoch 188 | loss: 0.000102223 | val_loss: 0.000101407 | Time: 6236.5 ms [2020-11-10 19:59:30 main:574] : INFO : Epoch 189 | loss: 0.000100148 | val_loss: 0.000101591 | Time: 6178.68 ms [2020-11-10 19:59:36 main:574] : INFO : Epoch 190 | loss: 9.79806e-05 | val_loss: 9.8949e-05 | Time: 6105.35 ms [2020-11-10 19:59:42 main:574] : INFO : Epoch 191 | loss: 9.68013e-05 | val_loss: 9.87348e-05 | Time: 6116.56 ms [2020-11-10 19:59:48 main:574] : INFO : Epoch 192 | loss: 9.4541e-05 | val_loss: 9.46392e-05 | Time: 6108.61 ms [2020-11-10 19:59:48 main:597] : INFO : Saving trained model to model-final.pt, val_loss 9.46392e-05 [2020-11-10 19:59:48 main:603] : INFO : Saving end state to config to file [2020-11-10 19:59:49 main:608] : INFO : Success, exiting.. 19:59:49 (20212): 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)