| Name | rand_automata_0005-1605427022-24265-0_0 |
| Workunit | 1330124 |
| Created | 15 Nov 2020, 7:57:05 UTC |
| Sent | 18 Nov 2020, 8:39:01 UTC |
| Report deadline | 26 Nov 2020, 8:39:01 UTC |
| Received | 18 Nov 2020, 9:09:11 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 3682 |
| Run time | 14 min 47 sec |
| CPU time | 13 min 38 sec |
| Validate state | Valid |
| Credit | 959.40 |
| Device peak FLOPS | 11,978.66 GFLOPS |
| Application version | Machine Learning Dataset Generator (GPU) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 1.49 GB |
| Peak swap size | 3.26 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 1080 Ti) [2020-11-18 03:41:41 main:435] : INFO : Set logging level to 1 [2020-11-18 03:41:41 main:441] : INFO : Running in BOINC Client mode [2020-11-18 03:41:41 main:444] : INFO : Resolving all filenames [2020-11-18 03:41:41 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0005-train-val-dataset.hdf5 (exists = 1) [2020-11-18 03:41:41 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0005-1605427022-24265-0_0_r798797355_1 (exists = 0) [2020-11-18 03:41:41 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0005-1605427022-24265-0_0_r798797355_0 (exists = 0) [2020-11-18 03:41:41 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-18 03:41:41 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-18 03:41:41 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0005-train-val-dataset.hdf5 [2020-11-18 03:41:41 main:474] : INFO : Configuration: [2020-11-18 03:41:41 main:475] : INFO : Model type: LSTM [2020-11-18 03:41:41 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-18 03:41:41 main:477] : INFO : Max Epochs: 192 [2020-11-18 03:41:41 main:478] : INFO : Batch Size: 32 [2020-11-18 03:41:41 main:479] : INFO : Learning Rate: 0.001 [2020-11-18 03:41:41 main:480] : INFO : Patience: 10 [2020-11-18 03:41:41 main:481] : INFO : Hidden Width: 64 [2020-11-18 03:41:42 main:482] : INFO : # Recurrent Layers: 4 [2020-11-18 03:41:42 main:483] : INFO : # Backend Layers: 2 [2020-11-18 03:41:42 main:484] : INFO : # Threads: 1 [2020-11-18 03:41:42 main:486] : INFO : Preparing Dataset [2020-11-18 03:41:42 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0005-train-val-dataset.hdf5 into memory [2020-11-18 03:41:42 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0005-train-val-dataset.hdf5 into memory [2020-11-18 03:41:44 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-18 03:41:44 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0005-train-val-dataset.hdf5 into memory [2020-11-18 03:41:44 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0005-train-val-dataset.hdf5 into memory [2020-11-18 03:41:44 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-18 03:41:44 main:494] : INFO : Creating Model [2020-11-18 03:41:44 main:507] : INFO : Preparing config file [2020-11-18 03:41:44 main:519] : INFO : Creating new config file [2020-11-18 03:41:45 main:559] : INFO : Loading DataLoader into Memory [2020-11-18 03:41:45 main:562] : INFO : Starting Training [2020-11-18 03:41:50 main:574] : INFO : Epoch 1 | loss: 0.066674 | val_loss: 0.0661379 | Time: 4735.38 ms [2020-11-18 03:41:54 main:574] : INFO : Epoch 2 | loss: 0.0661245 | val_loss: 0.0660067 | Time: 4186.47 ms [2020-11-18 03:41:59 main:574] : INFO : Epoch 3 | loss: 0.0649792 | val_loss: 0.0635489 | Time: 4356.73 ms [2020-11-18 03:42:03 main:574] : INFO : Epoch 4 | loss: 0.0617374 | val_loss: 0.0602052 | Time: 4319.81 ms [2020-11-18 03:42:07 main:574] : INFO : Epoch 5 | loss: 0.0590416 | val_loss: 0.0580613 | Time: 4283.87 ms [2020-11-18 03:42:12 main:574] : INFO : Epoch 6 | loss: 0.0571926 | val_loss: 0.0564945 | Time: 4327.7 ms [2020-11-18 03:42:16 main:574] : INFO : Epoch 7 | loss: 0.0558027 | val_loss: 0.0551978 | Time: 4261.86 ms [2020-11-18 03:42:20 main:574] : INFO : Epoch 8 | loss: 0.0546119 | val_loss: 0.0540477 | Time: 4280.59 ms [2020-11-18 03:42:25 main:574] : INFO : Epoch 9 | loss: 0.0535343 | val_loss: 0.0529365 | Time: 4311.26 ms [2020-11-18 03:42:29 main:574] : INFO : Epoch 10 | loss: 0.052415 | val_loss: 0.0516434 | Time: 4298.9 ms [2020-11-18 03:42:33 main:574] : INFO : Epoch 11 | loss: 0.0512209 | val_loss: 0.0506619 | Time: 4291.38 ms [2020-11-18 03:42:38 main:574] : INFO : Epoch 12 | loss: 0.0499257 | val_loss: 0.049316 | Time: 4303.9 ms [2020-11-18 03:42:42 main:574] : INFO : Epoch 13 | loss: 0.0485478 | val_loss: 0.0478436 | Time: 4263.09 ms [2020-11-18 03:42:47 main:574] : INFO : Epoch 14 | loss: 0.0469548 | val_loss: 0.0463101 | Time: 4344.15 ms [2020-11-18 03:42:51 main:574] : INFO : Epoch 15 | loss: 0.0452418 | val_loss: 0.0448086 | Time: 4311.32 ms [2020-11-18 03:42:55 main:574] : INFO : Epoch 16 | loss: 0.0431515 | val_loss: 0.042922 | Time: 4250.61 ms [2020-11-18 03:43:00 main:574] : INFO : Epoch 17 | loss: 0.040959 | val_loss: 0.0407107 | Time: 4307.39 ms [2020-11-18 03:43:04 main:574] : INFO : Epoch 18 | loss: 0.0386273 | val_loss: 0.0385208 | Time: 4300.51 ms [2020-11-18 03:43:08 main:574] : INFO : Epoch 19 | loss: 0.0360969 | val_loss: 0.0356843 | Time: 4371.31 ms [2020-11-18 03:43:13 main:574] : INFO : Epoch 20 | loss: 0.0338899 | val_loss: 0.0330489 | Time: 4279.3 ms [2020-11-18 03:43:17 main:574] : INFO : Epoch 21 | loss: 0.0358303 | val_loss: 0.0492621 | Time: 4255.97 ms [2020-11-18 03:43:22 main:574] : INFO : Epoch 22 | loss: 0.0345413 | val_loss: 0.0292356 | Time: 4296.52 ms [2020-11-18 03:43:26 main:574] : INFO : Epoch 23 | loss: 0.0274137 | val_loss: 0.0300161 | Time: 4309.41 ms [2020-11-18 03:43:30 main:574] : INFO : Epoch 24 | loss: 0.0319435 | val_loss: 0.028271 | Time: 4274.48 ms [2020-11-18 03:43:35 main:574] : INFO : Epoch 25 | loss: 0.0313902 | val_loss: 0.0241071 | Time: 4275.08 ms [2020-11-18 03:43:39 main:574] : INFO : Epoch 26 | loss: 0.0258996 | val_loss: 0.0289703 | Time: 4277.99 ms [2020-11-18 03:43:43 main:574] : INFO : Epoch 27 | loss: 0.0207107 | val_loss: 0.0208019 | Time: 4295.59 ms [2020-11-18 03:43:48 main:574] : INFO : Epoch 28 | loss: 0.0201751 | val_loss: 0.0175641 | Time: 4262.07 ms [2020-11-18 03:43:52 main:574] : INFO : Epoch 29 | loss: 0.0190196 | val_loss: 0.0214556 | Time: 4310.01 ms [2020-11-18 03:43:56 main:574] : INFO : Epoch 30 | loss: 0.015658 | val_loss: 0.0145159 | Time: 4297.05 ms [2020-11-18 03:44:01 main:574] : INFO : Epoch 31 | loss: 0.0154199 | val_loss: 0.0128383 | Time: 4304.62 ms [2020-11-18 03:44:05 main:574] : INFO : Epoch 32 | loss: 0.0284559 | val_loss: 0.0190095 | Time: 4306.12 ms [2020-11-18 03:44:09 main:574] : INFO : Epoch 33 | loss: 0.0280387 | val_loss: 0.0161796 | Time: 4220.81 ms [2020-11-18 03:44:14 main:574] : INFO : Epoch 34 | loss: 0.0133523 | val_loss: 0.0128359 | Time: 4202.16 ms [2020-11-18 03:44:18 main:574] : INFO : Epoch 35 | loss: 0.0143072 | val_loss: 0.0120519 | Time: 4269.83 ms [2020-11-18 03:44:22 main:574] : INFO : Epoch 36 | loss: 0.0456866 | val_loss: 0.0563058 | Time: 4300.6 ms [2020-11-18 03:44:27 main:574] : INFO : Epoch 37 | loss: 0.0535363 | val_loss: 0.0505498 | Time: 4248.16 ms [2020-11-18 03:44:31 main:574] : INFO : Epoch 38 | loss: 0.0428847 | val_loss: 0.0311008 | Time: 4309.42 ms [2020-11-18 03:44:35 main:574] : INFO : Epoch 39 | loss: 0.0284867 | val_loss: 0.0257483 | Time: 4330.55 ms [2020-11-18 03:44:40 main:574] : INFO : Epoch 40 | loss: 0.016405 | val_loss: 0.0144028 | Time: 4277.26 ms [2020-11-18 03:44:44 main:574] : INFO : Epoch 41 | loss: 0.0134417 | val_loss: 0.012885 | Time: 4269.47 ms [2020-11-18 03:44:48 main:574] : INFO : Epoch 42 | loss: 0.0112971 | val_loss: 0.0111848 | Time: 4303.24 ms [2020-11-18 03:44:53 main:574] : INFO : Epoch 43 | loss: 0.0102306 | val_loss: 0.0100553 | Time: 4267.71 ms [2020-11-18 03:44:57 main:574] : INFO : Epoch 44 | loss: 0.0102121 | val_loss: 0.0098936 | Time: 4254.47 ms [2020-11-18 03:45:01 main:574] : INFO : Epoch 45 | loss: 0.0094069 | val_loss: 0.00931586 | Time: 4302.88 ms [2020-11-18 03:45:06 main:574] : INFO : Epoch 46 | loss: 0.0090229 | val_loss: 0.0109626 | Time: 4281.92 ms [2020-11-18 03:45:10 main:574] : INFO : Epoch 47 | loss: 0.0100858 | val_loss: 0.0102547 | Time: 4322.04 ms [2020-11-18 03:45:15 main:574] : INFO : Epoch 48 | loss: 0.00917592 | val_loss: 0.00918665 | Time: 4307.63 ms [2020-11-18 03:45:19 main:574] : INFO : Epoch 49 | loss: 0.00845884 | val_loss: 0.0084145 | Time: 4278.26 ms [2020-11-18 03:45:23 main:574] : INFO : Epoch 50 | loss: 0.00818144 | val_loss: 0.00803448 | Time: 4274.25 ms [2020-11-18 03:45:28 main:574] : INFO : Epoch 51 | loss: 0.00783274 | val_loss: 0.00784221 | Time: 4311.97 ms [2020-11-18 03:45:32 main:574] : INFO : Epoch 52 | loss: 0.00760778 | val_loss: 0.00754927 | Time: 4314.63 ms [2020-11-18 03:45:36 main:574] : INFO : Epoch 53 | loss: 0.00739699 | val_loss: 0.00736375 | Time: 4340.86 ms [2020-11-18 03:45:41 main:574] : INFO : Epoch 54 | loss: 0.00733316 | val_loss: 0.00726834 | Time: 4300.16 ms [2020-11-18 03:45:45 main:574] : INFO : Epoch 55 | loss: 0.00783591 | val_loss: 0.00742272 | Time: 4299.03 ms [2020-11-18 03:45:49 main:574] : INFO : Epoch 56 | loss: 0.00701828 | val_loss: 0.00690542 | Time: 4286.03 ms [2020-11-18 03:45:54 main:574] : INFO : Epoch 57 | loss: 0.00670744 | val_loss: 0.00665782 | Time: 4296.97 ms [2020-11-18 03:45:58 main:574] : INFO : Epoch 58 | loss: 0.00650632 | val_loss: 0.00647344 | Time: 4251.74 ms [2020-11-18 03:46:03 main:574] : INFO : Epoch 59 | loss: 0.00632785 | val_loss: 0.00629701 | Time: 4332.92 ms [2020-11-18 03:46:07 main:574] : INFO : Epoch 60 | loss: 0.00616394 | val_loss: 0.00611747 | Time: 4297.1 ms [2020-11-18 03:46:11 main:574] : INFO : Epoch 61 | loss: 0.00598162 | val_loss: 0.00594402 | Time: 4255.62 ms [2020-11-18 03:46:16 main:574] : INFO : Epoch 62 | loss: 0.00581337 | val_loss: 0.005768 | Time: 4318.21 ms [2020-11-18 03:46:20 main:574] : INFO : Epoch 63 | loss: 0.00565282 | val_loss: 0.00560006 | Time: 4287.99 ms [2020-11-18 03:46:24 main:574] : INFO : Epoch 64 | loss: 0.00548781 | val_loss: 0.00545452 | Time: 4348.96 ms [2020-11-18 03:46:29 main:574] : INFO : Epoch 65 | loss: 0.00535738 | val_loss: 0.00527263 | Time: 4302.57 ms [2020-11-18 03:46:33 main:574] : INFO : Epoch 66 | loss: 0.00516314 | val_loss: 0.00510822 | Time: 4336.87 ms [2020-11-18 03:46:37 main:574] : INFO : Epoch 67 | loss: 0.0050019 | val_loss: 0.00494486 | Time: 4270.24 ms [2020-11-18 03:46:42 main:574] : INFO : Epoch 68 | loss: 0.00484492 | val_loss: 0.00478653 | Time: 4263.07 ms [2020-11-18 03:46:46 main:574] : INFO : Epoch 69 | loss: 0.00469063 | val_loss: 0.00462705 | Time: 4292.55 ms [2020-11-18 03:46:50 main:574] : INFO : Epoch 70 | loss: 0.00453793 | val_loss: 0.0044726 | Time: 4296.25 ms [2020-11-18 03:46:55 main:574] : INFO : Epoch 71 | loss: 0.00438699 | val_loss: 0.0043223 | Time: 4252.29 ms [2020-11-18 03:46:59 main:574] : INFO : Epoch 72 | loss: 0.00423931 | val_loss: 0.00421669 | Time: 4300.21 ms [2020-11-18 03:47:04 main:574] : INFO : Epoch 73 | loss: 0.00409447 | val_loss: 0.00407363 | Time: 4293.28 ms [2020-11-18 03:47:08 main:574] : INFO : Epoch 74 | loss: 0.00395197 | val_loss: 0.00388428 | Time: 4306.7 ms [2020-11-18 03:47:12 main:574] : INFO : Epoch 75 | loss: 0.00381118 | val_loss: 0.00374512 | Time: 4329.87 ms [2020-11-18 03:47:17 main:574] : INFO : Epoch 76 | loss: 0.00367486 | val_loss: 0.00364914 | Time: 4440.45 ms [2020-11-18 03:47:21 main:574] : INFO : Epoch 77 | loss: 0.00354064 | val_loss: 0.00352008 | Time: 4334.53 ms [2020-11-18 03:47:26 main:574] : INFO : Epoch 78 | loss: 0.00341065 | val_loss: 0.00338579 | Time: 4324.55 ms [2020-11-18 03:47:30 main:574] : INFO : Epoch 79 | loss: 0.00328189 | val_loss: 0.00326278 | Time: 4300.55 ms [2020-11-18 03:47:34 main:574] : INFO : Epoch 80 | loss: 0.00315878 | val_loss: 0.0031338 | Time: 4324.95 ms [2020-11-18 03:47:39 main:574] : INFO : Epoch 81 | loss: 0.00303697 | val_loss: 0.00301443 | Time: 4293.33 ms [2020-11-18 03:47:43 main:574] : INFO : Epoch 82 | loss: 0.00291845 | val_loss: 0.00288995 | Time: 4288.17 ms [2020-11-18 03:47:47 main:574] : INFO : Epoch 83 | loss: 0.00280395 | val_loss: 0.00278504 | Time: 4299.39 ms [2020-11-18 03:47:52 main:574] : INFO : Epoch 84 | loss: 0.00269318 | val_loss: 0.00262925 | Time: 4263.52 ms [2020-11-18 03:47:56 main:574] : INFO : Epoch 85 | loss: 0.00258503 | val_loss: 0.00251777 | Time: 4316.01 ms [2020-11-18 03:48:00 main:574] : INFO : Epoch 86 | loss: 0.00248036 | val_loss: 0.00241905 | Time: 4257.24 ms [2020-11-18 03:48:05 main:574] : INFO : Epoch 87 | loss: 0.00237785 | val_loss: 0.0023101 | Time: 4311.04 ms [2020-11-18 03:48:09 main:574] : INFO : Epoch 88 | loss: 0.00227843 | val_loss: 0.00221798 | Time: 4317.06 ms [2020-11-18 03:48:14 main:574] : INFO : Epoch 89 | loss: 0.00218507 | val_loss: 0.00212588 | Time: 4312.8 ms [2020-11-18 03:48:18 main:574] : INFO : Epoch 90 | loss: 0.00209365 | val_loss: 0.00203486 | Time: 4309.33 ms [2020-11-18 03:48:22 main:574] : INFO : Epoch 91 | loss: 0.00200499 | val_loss: 0.00194503 | Time: 4323.61 ms [2020-11-18 03:48:27 main:574] : INFO : Epoch 92 | loss: 0.0019198 | val_loss: 0.00186002 | Time: 4317.38 ms [2020-11-18 03:48:31 main:574] : INFO : Epoch 93 | loss: 0.001839 | val_loss: 0.0017816 | Time: 4257.39 ms [2020-11-18 03:48:35 main:574] : INFO : Epoch 94 | loss: 0.00176084 | val_loss: 0.00170657 | Time: 4355.06 ms [2020-11-18 03:48:40 main:574] : INFO : Epoch 95 | loss: 0.00168643 | val_loss: 0.00163656 | Time: 4268.45 ms [2020-11-18 03:48:44 main:574] : INFO : Epoch 96 | loss: 0.00161495 | val_loss: 0.00156528 | Time: 4290.22 ms [2020-11-18 03:48:48 main:574] : INFO : Epoch 97 | loss: 0.00154589 | val_loss: 0.00149907 | Time: 4263.04 ms [2020-11-18 03:48:53 main:574] : INFO : Epoch 98 | loss: 0.0014811 | val_loss: 0.00143297 | Time: 4290.11 ms [2020-11-18 03:48:57 main:574] : INFO : Epoch 99 | loss: 0.00141873 | val_loss: 0.00137573 | Time: 4306.33 ms [2020-11-18 03:49:01 main:574] : INFO : Epoch 100 | loss: 0.00135839 | val_loss: 0.00131422 | Time: 4320.01 ms [2020-11-18 03:49:06 main:574] : INFO : Epoch 101 | loss: 0.00130135 | val_loss: 0.00125881 | Time: 4313.76 ms [2020-11-18 03:49:10 main:574] : INFO : Epoch 102 | loss: 0.00124618 | val_loss: 0.00120494 | Time: 4308.53 ms [2020-11-18 03:49:15 main:574] : INFO : Epoch 103 | loss: 0.00119335 | val_loss: 0.00115859 | Time: 4304.8 ms [2020-11-18 03:49:19 main:574] : INFO : Epoch 104 | loss: 0.00114338 | val_loss: 0.00110737 | Time: 4327.27 ms [2020-11-18 03:49:23 main:574] : INFO : Epoch 105 | loss: 0.00109641 | val_loss: 0.00106228 | Time: 4347.14 ms [2020-11-18 03:49:28 main:574] : INFO : Epoch 106 | loss: 0.0010513 | val_loss: 0.00101996 | Time: 4409.23 ms [2020-11-18 03:49:32 main:574] : INFO : Epoch 107 | loss: 0.00100736 | val_loss: 0.00097695 | Time: 4333.23 ms [2020-11-18 03:49:37 main:574] : INFO : Epoch 108 | loss: 0.000966221 | val_loss: 0.000935055 | Time: 4302.41 ms [2020-11-18 03:49:41 main:574] : INFO : Epoch 109 | loss: 0.000926514 | val_loss: 0.00089644 | Time: 4299.83 ms [2020-11-18 03:49:45 main:574] : INFO : Epoch 110 | loss: 0.000889197 | val_loss: 0.000860015 | Time: 4317.85 ms [2020-11-18 03:49:50 main:574] : INFO : Epoch 111 | loss: 0.000853617 | val_loss: 0.000825375 | Time: 4266.26 ms [2020-11-18 03:49:54 main:574] : INFO : Epoch 112 | loss: 0.000820034 | val_loss: 0.000795619 | Time: 4296.53 ms [2020-11-18 03:49:58 main:574] : INFO : Epoch 113 | loss: 0.000787331 | val_loss: 0.000762924 | Time: 4280.41 ms [2020-11-18 03:50:03 main:574] : INFO : Epoch 114 | loss: 0.000757697 | val_loss: 0.000733427 | Time: 4317.35 ms [2020-11-18 03:50:07 main:574] : INFO : Epoch 115 | loss: 0.000728208 | val_loss: 0.000707275 | Time: 4329.33 ms [2020-11-18 03:50:11 main:574] : INFO : Epoch 116 | loss: 0.000700636 | val_loss: 0.000677097 | Time: 4245.53 ms [2020-11-18 03:50:16 main:574] : INFO : Epoch 117 | loss: 0.000673248 | val_loss: 0.000657542 | Time: 4203.72 ms [2020-11-18 03:50:20 main:574] : INFO : Epoch 118 | loss: 0.000647113 | val_loss: 0.000629819 | Time: 4342.88 ms [2020-11-18 03:50:24 main:574] : INFO : Epoch 119 | loss: 0.000624055 | val_loss: 0.00060505 | Time: 4301.64 ms [2020-11-18 03:50:29 main:574] : INFO : Epoch 120 | loss: 0.000599655 | val_loss: 0.000584686 | Time: 4368.19 ms [2020-11-18 03:50:33 main:574] : INFO : Epoch 121 | loss: 0.000578754 | val_loss: 0.000563935 | Time: 4319.9 ms [2020-11-18 03:50:38 main:574] : INFO : Epoch 122 | loss: 0.000557837 | val_loss: 0.00054044 | Time: 4304.47 ms [2020-11-18 03:50:42 main:574] : INFO : Epoch 123 | loss: 0.00053651 | val_loss: 0.000522423 | Time: 4251.33 ms [2020-11-18 03:50:46 main:574] : INFO : Epoch 124 | loss: 0.000517532 | val_loss: 0.000501116 | Time: 4291.44 ms [2020-11-18 03:50:51 main:574] : INFO : Epoch 125 | loss: 0.000498303 | val_loss: 0.000488338 | Time: 4316.5 ms [2020-11-18 03:50:55 main:574] : INFO : Epoch 126 | loss: 0.000480773 | val_loss: 0.000466925 | Time: 4344.11 ms [2020-11-18 03:51:00 main:574] : INFO : Epoch 127 | loss: 0.000463732 | val_loss: 0.00045093 | Time: 4325.27 ms [2020-11-18 03:51:04 main:574] : INFO : Epoch 128 | loss: 0.000448015 | val_loss: 0.000435633 | Time: 4293.08 ms [2020-11-18 03:51:08 main:574] : INFO : Epoch 129 | loss: 0.000433503 | val_loss: 0.00042217 | Time: 4306.4 ms [2020-11-18 03:51:13 main:574] : INFO : Epoch 130 | loss: 0.000418264 | val_loss: 0.000405614 | Time: 4323.92 ms [2020-11-18 03:51:17 main:574] : INFO : Epoch 131 | loss: 0.000404653 | val_loss: 0.000395558 | Time: 4326.15 ms [2020-11-18 03:51:21 main:574] : INFO : Epoch 132 | loss: 0.000391303 | val_loss: 0.00038036 | Time: 4302.32 ms [2020-11-18 03:51:26 main:574] : INFO : Epoch 133 | loss: 0.000378341 | val_loss: 0.000368263 | Time: 4325.49 ms [2020-11-18 03:51:30 main:574] : INFO : Epoch 134 | loss: 0.000365774 | val_loss: 0.000357189 | Time: 4227.53 ms [2020-11-18 03:51:34 main:574] : INFO : Epoch 135 | loss: 0.000355933 | val_loss: 0.000346404 | Time: 4309.01 ms [2020-11-18 03:51:39 main:574] : INFO : Epoch 136 | loss: 0.000344477 | val_loss: 0.000333999 | Time: 4308.19 ms [2020-11-18 03:51:43 main:574] : INFO : Epoch 137 | loss: 0.000333842 | val_loss: 0.000324133 | Time: 4293.87 ms [2020-11-18 03:51:48 main:574] : INFO : Epoch 138 | loss: 0.000323831 | val_loss: 0.000315862 | Time: 4334.54 ms [2020-11-18 03:51:52 main:574] : INFO : Epoch 139 | loss: 0.000314675 | val_loss: 0.000308147 | Time: 4374.87 ms [2020-11-18 03:51:56 main:574] : INFO : Epoch 140 | loss: 0.000304976 | val_loss: 0.000297742 | Time: 4326.72 ms [2020-11-18 03:52:01 main:574] : INFO : Epoch 141 | loss: 0.000296252 | val_loss: 0.000289489 | Time: 4360.26 ms [2020-11-18 03:52:05 main:574] : INFO : Epoch 142 | loss: 0.000288663 | val_loss: 0.000281388 | Time: 4306.95 ms [2020-11-18 03:52:10 main:574] : INFO : Epoch 143 | loss: 0.000280104 | val_loss: 0.000272681 | Time: 4333.06 ms [2020-11-18 03:52:14 main:574] : INFO : Epoch 144 | loss: 0.000272553 | val_loss: 0.000264612 | Time: 4285.35 ms [2020-11-18 03:52:18 main:574] : INFO : Epoch 145 | loss: 0.000265309 | val_loss: 0.000259742 | Time: 4325.81 ms [2020-11-18 03:52:23 main:574] : INFO : Epoch 146 | loss: 0.00025839 | val_loss: 0.000251176 | Time: 4328.77 ms [2020-11-18 03:52:27 main:574] : INFO : Epoch 147 | loss: 0.000251271 | val_loss: 0.000245102 | Time: 4359.02 ms [2020-11-18 03:52:32 main:574] : INFO : Epoch 148 | loss: 0.000245121 | val_loss: 0.000239697 | Time: 4373.3 ms [2020-11-18 03:52:36 main:574] : INFO : Epoch 149 | loss: 0.000238283 | val_loss: 0.000233371 | Time: 4373.15 ms [2020-11-18 03:52:41 main:574] : INFO : Epoch 150 | loss: 0.000232747 | val_loss: 0.000227363 | Time: 4340.25 ms [2020-11-18 03:52:45 main:574] : INFO : Epoch 151 | loss: 0.000227241 | val_loss: 0.00022229 | Time: 4315.08 ms [2020-11-18 03:52:49 main:574] : INFO : Epoch 152 | loss: 0.000221674 | val_loss: 0.000217087 | Time: 4297.19 ms [2020-11-18 03:52:54 main:574] : INFO : Epoch 153 | loss: 0.000215953 | val_loss: 0.00021292 | Time: 4324.41 ms [2020-11-18 03:52:58 main:574] : INFO : Epoch 154 | loss: 0.000211017 | val_loss: 0.000206025 | Time: 4376.76 ms [2020-11-18 03:53:03 main:574] : INFO : Epoch 155 | loss: 0.000205737 | val_loss: 0.0002002 | Time: 4352.26 ms [2020-11-18 03:53:07 main:574] : INFO : Epoch 156 | loss: 0.000201711 | val_loss: 0.000195958 | Time: 4297.23 ms [2020-11-18 03:53:12 main:574] : INFO : Epoch 157 | loss: 0.000197204 | val_loss: 0.000193769 | Time: 4364.02 ms [2020-11-18 03:53:16 main:574] : INFO : Epoch 158 | loss: 0.000192135 | val_loss: 0.000188999 | Time: 4313.57 ms [2020-11-18 03:53:20 main:574] : INFO : Epoch 159 | loss: 0.00018863 | val_loss: 0.0001844 | Time: 4344.79 ms [2020-11-18 03:53:25 main:574] : INFO : Epoch 160 | loss: 0.000183923 | val_loss: 0.000181789 | Time: 4273.58 ms [2020-11-18 03:53:29 main:574] : INFO : Epoch 161 | loss: 0.000180086 | val_loss: 0.000175781 | Time: 4364.2 ms [2020-11-18 03:53:33 main:574] : INFO : Epoch 162 | loss: 0.000176637 | val_loss: 0.000172884 | Time: 4266.48 ms [2020-11-18 03:53:38 main:574] : INFO : Epoch 163 | loss: 0.000172859 | val_loss: 0.000169814 | Time: 4332.64 ms [2020-11-18 03:53:42 main:574] : INFO : Epoch 164 | loss: 0.000169008 | val_loss: 0.000166367 | Time: 4337.88 ms [2020-11-18 03:53:47 main:574] : INFO : Epoch 165 | loss: 0.000166022 | val_loss: 0.000164372 | Time: 4274.77 ms [2020-11-18 03:53:51 main:574] : INFO : Epoch 166 | loss: 0.000162754 | val_loss: 0.000159191 | Time: 4339.27 ms [2020-11-18 03:53:55 main:574] : INFO : Epoch 167 | loss: 0.000159301 | val_loss: 0.000157499 | Time: 4357.83 ms [2020-11-18 03:54:00 main:574] : INFO : Epoch 168 | loss: 0.000156178 | val_loss: 0.000154281 | Time: 4320.68 ms [2020-11-18 03:54:04 main:574] : INFO : Epoch 169 | loss: 0.000153285 | val_loss: 0.000150604 | Time: 4357.27 ms [2020-11-18 03:54:09 main:574] : INFO : Epoch 170 | loss: 0.000150142 | val_loss: 0.000146942 | Time: 4254.64 ms [2020-11-18 03:54:13 main:574] : INFO : Epoch 171 | loss: 0.000147465 | val_loss: 0.000145629 | Time: 4331.86 ms [2020-11-18 03:54:18 main:574] : INFO : Epoch 172 | loss: 0.000144705 | val_loss: 0.000143578 | Time: 4332.3 ms [2020-11-18 03:54:22 main:574] : INFO : Epoch 173 | loss: 0.000142267 | val_loss: 0.000141076 | Time: 4283.34 ms [2020-11-18 03:54:26 main:574] : INFO : Epoch 174 | loss: 0.000140079 | val_loss: 0.000137752 | Time: 4261.74 ms [2020-11-18 03:54:31 main:574] : INFO : Epoch 175 | loss: 0.000137179 | val_loss: 0.000135638 | Time: 4333.81 ms [2020-11-18 03:54:35 main:574] : INFO : Epoch 176 | loss: 0.000134763 | val_loss: 0.000132526 | Time: 4336.37 ms [2020-11-18 03:54:40 main:574] : INFO : Epoch 177 | loss: 0.000132089 | val_loss: 0.000130042 | Time: 4361.65 ms [2020-11-18 03:54:44 main:574] : INFO : Epoch 178 | loss: 0.000130286 | val_loss: 0.000129162 | Time: 4316.19 ms [2020-11-18 03:54:48 main:574] : INFO : Epoch 179 | loss: 0.000127809 | val_loss: 0.000125964 | Time: 4309.9 ms [2020-11-18 03:54:53 main:574] : INFO : Epoch 180 | loss: 0.000126114 | val_loss: 0.00012415 | Time: 4265.45 ms [2020-11-18 03:54:57 main:574] : INFO : Epoch 181 | loss: 0.000123387 | val_loss: 0.000121958 | Time: 4298.65 ms [2020-11-18 03:55:02 main:574] : INFO : Epoch 182 | loss: 0.000121749 | val_loss: 0.000120429 | Time: 4357.55 ms [2020-11-18 03:55:06 main:574] : INFO : Epoch 183 | loss: 0.000119474 | val_loss: 0.00011828 | Time: 4393.64 ms [2020-11-18 03:55:10 main:574] : INFO : Epoch 184 | loss: 0.000117828 | val_loss: 0.000115668 | Time: 4358 ms [2020-11-18 03:55:15 main:574] : INFO : Epoch 185 | loss: 0.000115833 | val_loss: 0.000113983 | Time: 4336.31 ms [2020-11-18 03:55:19 main:574] : INFO : Epoch 186 | loss: 0.000114384 | val_loss: 0.000114721 | Time: 4428.84 ms [2020-11-18 03:55:24 main:574] : INFO : Epoch 187 | loss: 0.000112331 | val_loss: 0.000112685 | Time: 4368.97 ms [2020-11-18 03:55:29 main:574] : INFO : Epoch 188 | loss: 0.000110833 | val_loss: 0.000110496 | Time: 4537 ms [2020-11-18 03:55:33 main:574] : INFO : Epoch 189 | loss: 0.000109108 | val_loss: 0.00010806 | Time: 4333.83 ms [2020-11-18 03:55:39 main:574] : INFO : Epoch 190 | loss: 0.000107701 | val_loss: 0.000105608 | Time: 4547.51 ms [2020-11-18 03:55:43 main:574] : INFO : Epoch 191 | loss: 0.000105282 | val_loss: 0.000105498 | Time: 4441.2 ms [2020-11-18 03:55:48 main:574] : INFO : Epoch 192 | loss: 0.000103719 | val_loss: 0.000105109 | Time: 4538.1 ms [2020-11-18 03:55:48 main:597] : INFO : Saving trained model to model-final.pt, val_loss 0.000105109 [2020-11-18 03:55:48 main:603] : INFO : Saving end state to config to file [2020-11-18 03:55:48 main:608] : INFO : Success, exiting.. 03:55:48 (10412): 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)