Task 2817992
| Name | rand_automata_0007-1604935194-19330-0_4 |
| Workunit | 1258015 |
| Created | 10 Nov 2020, 17:35:26 UTC |
| Sent | 10 Nov 2020, 17:35:34 UTC |
| Report deadline | 11 Nov 2020, 16:05:34 UTC |
| Received | 10 Nov 2020, 17:56:19 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 574 |
| Run time | 20 min 16 sec |
| CPU time | 19 min 31 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 |
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 750 Ti) [2020-11-10 18:36:10 main:435] : INFO : Set logging level to 1 [2020-11-10 18:36:10 main:441] : INFO : Running in BOINC Client mode [2020-11-10 18:36:10 main:444] : INFO : Resolving all filenames [2020-11-10 18:36:10 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0007-train-val-dataset.hdf5 (exists = 1) [2020-11-10 18:36:10 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0007-1604935194-19330-0_4_r465195958_1 (exists = 0) [2020-11-10 18:36:10 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0007-1604935194-19330-0_4_r465195958_0 (exists = 0) [2020-11-10 18:36:10 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-10 18:36:10 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-10 18:36:10 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0007-train-val-dataset.hdf5 [2020-11-10 18:36:10 main:474] : INFO : Configuration: [2020-11-10 18:36:10 main:475] : INFO : Model type: LSTM [2020-11-10 18:36:10 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-10 18:36:10 main:477] : INFO : Max Epochs: 192 [2020-11-10 18:36:10 main:478] : INFO : Batch Size: 32 [2020-11-10 18:36:10 main:479] : INFO : Learning Rate: 0.001 [2020-11-10 18:36:10 main:480] : INFO : Patience: 10 [2020-11-10 18:36:10 main:481] : INFO : Hidden Width: 64 [2020-11-10 18:36:10 main:482] : INFO : # Recurrent Layers: 4 [2020-11-10 18:36:10 main:483] : INFO : # Backend Layers: 2 [2020-11-10 18:36:10 main:484] : INFO : # Threads: 1 [2020-11-10 18:36:11 main:486] : INFO : Preparing Dataset [2020-11-10 18:36:11 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0007-train-val-dataset.hdf5 into memory [2020-11-10 18:36:11 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0007-train-val-dataset.hdf5 into memory [2020-11-10 18:36:13 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-10 18:36:13 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0007-train-val-dataset.hdf5 into memory [2020-11-10 18:36:13 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0007-train-val-dataset.hdf5 into memory [2020-11-10 18:36:13 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-10 18:36:13 main:494] : INFO : Creating Model [2020-11-10 18:36:13 main:507] : INFO : Preparing config file [2020-11-10 18:36:14 main:519] : INFO : Creating new config file [2020-11-10 18:36:15 main:559] : INFO : Loading DataLoader into Memory [2020-11-10 18:36:15 main:562] : INFO : Starting Training [2020-11-10 18:36:22 main:574] : INFO : Epoch 1 | loss: 0.066455 | val_loss: 0.0659943 | Time: 6545.94 ms [2020-11-10 18:36:28 main:574] : INFO : Epoch 2 | loss: 0.0657049 | val_loss: 0.0650689 | Time: 6146.06 ms [2020-11-10 18:36:34 main:574] : INFO : Epoch 3 | loss: 0.0636242 | val_loss: 0.0621669 | Time: 6233.28 ms [2020-11-10 18:36:40 main:574] : INFO : Epoch 4 | loss: 0.0606515 | val_loss: 0.0594335 | Time: 6061.58 ms [2020-11-10 18:36:46 main:574] : INFO : Epoch 5 | loss: 0.058517 | val_loss: 0.0578727 | Time: 6145.52 ms [2020-11-10 18:36:53 main:574] : INFO : Epoch 6 | loss: 0.0571295 | val_loss: 0.0566747 | Time: 6176.31 ms [2020-11-10 18:36:59 main:574] : INFO : Epoch 7 | loss: 0.0559628 | val_loss: 0.055588 | Time: 6057.08 ms [2020-11-10 18:37:05 main:574] : INFO : Epoch 8 | loss: 0.0548125 | val_loss: 0.0546115 | Time: 6301.1 ms [2020-11-10 18:37:11 main:574] : INFO : Epoch 9 | loss: 0.0537009 | val_loss: 0.0533522 | Time: 6100.01 ms [2020-11-10 18:37:17 main:574] : INFO : Epoch 10 | loss: 0.0524758 | val_loss: 0.0520973 | Time: 6094.24 ms [2020-11-10 18:37:24 main:574] : INFO : Epoch 11 | loss: 0.0510461 | val_loss: 0.0508186 | Time: 6219.23 ms [2020-11-10 18:37:30 main:574] : INFO : Epoch 12 | loss: 0.0495103 | val_loss: 0.0494149 | Time: 6078.63 ms [2020-11-10 18:37:36 main:574] : INFO : Epoch 13 | loss: 0.0475725 | val_loss: 0.0473888 | Time: 6091.08 ms [2020-11-10 18:37:42 main:574] : INFO : Epoch 14 | loss: 0.045367 | val_loss: 0.0451738 | Time: 6067.58 ms [2020-11-10 18:37:48 main:574] : INFO : Epoch 15 | loss: 0.0426261 | val_loss: 0.0426748 | Time: 6124.53 ms [2020-11-10 18:37:54 main:574] : INFO : Epoch 16 | loss: 0.0395872 | val_loss: 0.0398576 | Time: 6015.41 ms [2020-11-10 18:38:00 main:574] : INFO : Epoch 17 | loss: 0.0362068 | val_loss: 0.0360972 | Time: 5958.33 ms [2020-11-10 18:38:06 main:574] : INFO : Epoch 18 | loss: 0.0330378 | val_loss: 0.0304648 | Time: 6082.02 ms [2020-11-10 18:38:13 main:574] : INFO : Epoch 19 | loss: 0.0297502 | val_loss: 0.0329992 | Time: 6203.95 ms [2020-11-10 18:38:19 main:574] : INFO : Epoch 20 | loss: 0.0283939 | val_loss: 0.0284762 | Time: 6214.94 ms [2020-11-10 18:38:25 main:574] : INFO : Epoch 21 | loss: 0.0258826 | val_loss: 0.02707 | Time: 6038.86 ms [2020-11-10 18:38:31 main:574] : INFO : Epoch 22 | loss: 0.0304625 | val_loss: 0.0271828 | Time: 6168.79 ms [2020-11-10 18:38:37 main:574] : INFO : Epoch 23 | loss: 0.032523 | val_loss: 0.028954 | Time: 6048.13 ms [2020-11-10 18:38:43 main:574] : INFO : Epoch 24 | loss: 0.0294814 | val_loss: 0.0617684 | Time: 6181.26 ms [2020-11-10 18:38:50 main:574] : INFO : Epoch 25 | loss: 0.0591555 | val_loss: 0.057183 | Time: 6051.18 ms [2020-11-10 18:38:56 main:574] : INFO : Epoch 26 | loss: 0.054355 | val_loss: 0.0508532 | Time: 6486.17 ms [2020-11-10 18:39:02 main:574] : INFO : Epoch 27 | loss: 0.0402093 | val_loss: 0.0258371 | Time: 6036.95 ms [2020-11-10 18:39:08 main:574] : INFO : Epoch 28 | loss: 0.0256911 | val_loss: 0.0233757 | Time: 6250.74 ms [2020-11-10 18:39:15 main:574] : INFO : Epoch 29 | loss: 0.0334554 | val_loss: 0.0438185 | Time: 6104.49 ms [2020-11-10 18:39:21 main:574] : INFO : Epoch 30 | loss: 0.0255568 | val_loss: 0.0188966 | Time: 6088.8 ms [2020-11-10 18:39:27 main:574] : INFO : Epoch 31 | loss: 0.0155941 | val_loss: 0.0153432 | Time: 6148.34 ms [2020-11-10 18:39:33 main:574] : INFO : Epoch 32 | loss: 0.0391201 | val_loss: 0.028909 | Time: 6145.75 ms [2020-11-10 18:39:39 main:574] : INFO : Epoch 33 | loss: 0.0239585 | val_loss: 0.0494967 | Time: 6027.25 ms [2020-11-10 18:39:45 main:574] : INFO : Epoch 34 | loss: 0.0301366 | val_loss: 0.0257804 | Time: 6161.78 ms [2020-11-10 18:39:52 main:574] : INFO : Epoch 35 | loss: 0.0212308 | val_loss: 0.0165473 | Time: 6184.19 ms [2020-11-10 18:39:58 main:574] : INFO : Epoch 36 | loss: 0.0133579 | val_loss: 0.0131836 | Time: 5986.64 ms [2020-11-10 18:40:04 main:574] : INFO : Epoch 37 | loss: 0.0115533 | val_loss: 0.0116845 | Time: 6138.14 ms [2020-11-10 18:40:10 main:574] : INFO : Epoch 38 | loss: 0.0114432 | val_loss: 0.0112711 | Time: 6262.03 ms [2020-11-10 18:40:16 main:574] : INFO : Epoch 39 | loss: 0.010383 | val_loss: 0.0107451 | Time: 6028.43 ms [2020-11-10 18:40:22 main:574] : INFO : Epoch 40 | loss: 0.0101272 | val_loss: 0.0100428 | Time: 5977.61 ms [2020-11-10 18:40:29 main:574] : INFO : Epoch 41 | loss: 0.0095897 | val_loss: 0.0096902 | Time: 6294.56 ms [2020-11-10 18:40:35 main:574] : INFO : Epoch 42 | loss: 0.0092915 | val_loss: 0.00957237 | Time: 6042.4 ms [2020-11-10 18:40:41 main:574] : INFO : Epoch 43 | loss: 0.00899761 | val_loss: 0.00905613 | Time: 6236.66 ms [2020-11-10 18:40:47 main:574] : INFO : Epoch 44 | loss: 0.00866227 | val_loss: 0.00876629 | Time: 6065.2 ms [2020-11-10 18:40:53 main:574] : INFO : Epoch 45 | loss: 0.00840612 | val_loss: 0.0085401 | Time: 6051.45 ms [2020-11-10 18:40:59 main:574] : INFO : Epoch 46 | loss: 0.00817538 | val_loss: 0.00823998 | Time: 6261.29 ms [2020-11-10 18:41:06 main:574] : INFO : Epoch 47 | loss: 0.00795726 | val_loss: 0.00810257 | Time: 6341.46 ms [2020-11-10 18:41:12 main:574] : INFO : Epoch 48 | loss: 0.00782937 | val_loss: 0.00922886 | Time: 6105.93 ms [2020-11-10 18:41:18 main:574] : INFO : Epoch 49 | loss: 0.00796521 | val_loss: 0.0076376 | Time: 6130.47 ms [2020-11-10 18:41:24 main:574] : INFO : Epoch 50 | loss: 0.0073638 | val_loss: 0.00739214 | Time: 6121.15 ms [2020-11-10 18:41:30 main:574] : INFO : Epoch 51 | loss: 0.00719036 | val_loss: 0.0071868 | Time: 5977.31 ms [2020-11-10 18:41:37 main:574] : INFO : Epoch 52 | loss: 0.00695623 | val_loss: 0.00698621 | Time: 6100.07 ms [2020-11-10 18:41:43 main:574] : INFO : Epoch 53 | loss: 0.0067586 | val_loss: 0.0067743 | Time: 6139.25 ms [2020-11-10 18:41:49 main:574] : INFO : Epoch 54 | loss: 0.006579 | val_loss: 0.0065953 | Time: 6297.45 ms [2020-11-10 18:41:55 main:574] : INFO : Epoch 55 | loss: 0.00640892 | val_loss: 0.0063905 | Time: 5965.18 ms [2020-11-10 18:42:01 main:574] : INFO : Epoch 56 | loss: 0.00620721 | val_loss: 0.00619989 | Time: 6229.67 ms [2020-11-10 18:42:08 main:574] : INFO : Epoch 57 | loss: 0.00608149 | val_loss: 0.00623002 | Time: 6259.84 ms [2020-11-10 18:42:14 main:574] : INFO : Epoch 58 | loss: 0.00587284 | val_loss: 0.00583314 | Time: 6337.86 ms [2020-11-10 18:42:20 main:574] : INFO : Epoch 59 | loss: 0.00566107 | val_loss: 0.00563704 | Time: 6226.23 ms [2020-11-10 18:42:27 main:574] : INFO : Epoch 60 | loss: 0.00548606 | val_loss: 0.0054631 | Time: 6162.81 ms [2020-11-10 18:42:33 main:574] : INFO : Epoch 61 | loss: 0.00531431 | val_loss: 0.00529258 | Time: 6119.7 ms [2020-11-10 18:42:39 main:574] : INFO : Epoch 62 | loss: 0.00514646 | val_loss: 0.00512062 | Time: 6153.68 ms [2020-11-10 18:42:45 main:574] : INFO : Epoch 63 | loss: 0.00498121 | val_loss: 0.00495534 | Time: 6282.63 ms [2020-11-10 18:42:51 main:574] : INFO : Epoch 64 | loss: 0.00481754 | val_loss: 0.00479025 | Time: 6234.58 ms [2020-11-10 18:42:58 main:574] : INFO : Epoch 65 | loss: 0.00465806 | val_loss: 0.00463216 | Time: 6139.76 ms [2020-11-10 18:43:04 main:574] : INFO : Epoch 66 | loss: 0.0045018 | val_loss: 0.00447139 | Time: 6305.36 ms [2020-11-10 18:43:10 main:574] : INFO : Epoch 67 | loss: 0.00434828 | val_loss: 0.00431828 | Time: 6267.06 ms [2020-11-10 18:43:17 main:574] : INFO : Epoch 68 | loss: 0.00419705 | val_loss: 0.00417029 | Time: 6364.82 ms [2020-11-10 18:43:23 main:574] : INFO : Epoch 69 | loss: 0.00405136 | val_loss: 0.00402461 | Time: 6140.77 ms [2020-11-10 18:43:29 main:574] : INFO : Epoch 70 | loss: 0.00390722 | val_loss: 0.00388046 | Time: 6261.29 ms [2020-11-10 18:43:35 main:574] : INFO : Epoch 71 | loss: 0.00376857 | val_loss: 0.00374121 | Time: 6159.5 ms [2020-11-10 18:43:42 main:574] : INFO : Epoch 72 | loss: 0.00363153 | val_loss: 0.00360402 | Time: 6180.83 ms [2020-11-10 18:43:48 main:574] : INFO : Epoch 73 | loss: 0.00350023 | val_loss: 0.00347308 | Time: 5989.52 ms [2020-11-10 18:43:54 main:574] : INFO : Epoch 74 | loss: 0.00337092 | val_loss: 0.0033492 | Time: 6259.37 ms [2020-11-10 18:44:00 main:574] : INFO : Epoch 75 | loss: 0.00324623 | val_loss: 0.00322118 | Time: 5918.06 ms [2020-11-10 18:44:06 main:574] : INFO : Epoch 76 | loss: 0.00312434 | val_loss: 0.00310078 | Time: 6263.96 ms [2020-11-10 18:44:13 main:574] : INFO : Epoch 77 | loss: 0.00300684 | val_loss: 0.002986 | Time: 6279.52 ms [2020-11-10 18:44:19 main:574] : INFO : Epoch 78 | loss: 0.00289273 | val_loss: 0.00287299 | Time: 6200.91 ms [2020-11-10 18:44:25 main:574] : INFO : Epoch 79 | loss: 0.00278063 | val_loss: 0.00276183 | Time: 6326.53 ms [2020-11-10 18:44:31 main:574] : INFO : Epoch 80 | loss: 0.00267354 | val_loss: 0.00265915 | Time: 6174.03 ms [2020-11-10 18:44:38 main:574] : INFO : Epoch 81 | loss: 0.00256923 | val_loss: 0.00255106 | Time: 6303.22 ms [2020-11-10 18:44:44 main:574] : INFO : Epoch 82 | loss: 0.00246886 | val_loss: 0.00245108 | Time: 6112.66 ms [2020-11-10 18:44:50 main:574] : INFO : Epoch 83 | loss: 0.00237019 | val_loss: 0.00235192 | Time: 6159.16 ms [2020-11-10 18:44:56 main:574] : INFO : Epoch 84 | loss: 0.00227605 | val_loss: 0.00225968 | Time: 6125.61 ms [2020-11-10 18:45:02 main:574] : INFO : Epoch 85 | loss: 0.00218526 | val_loss: 0.00216857 | Time: 5931.91 ms [2020-11-10 18:45:09 main:574] : INFO : Epoch 86 | loss: 0.00209741 | val_loss: 0.00208219 | Time: 6201.56 ms [2020-11-10 18:45:15 main:574] : INFO : Epoch 87 | loss: 0.00201151 | val_loss: 0.00199458 | Time: 6105.36 ms [2020-11-10 18:45:21 main:574] : INFO : Epoch 88 | loss: 0.00192901 | val_loss: 0.00191369 | Time: 5990.86 ms [2020-11-10 18:45:27 main:574] : INFO : Epoch 89 | loss: 0.00184921 | val_loss: 0.0018335 | Time: 6097.84 ms [2020-11-10 18:45:33 main:574] : INFO : Epoch 90 | loss: 0.00177263 | val_loss: 0.00175803 | Time: 6202.94 ms [2020-11-10 18:45:39 main:574] : INFO : Epoch 91 | loss: 0.00169879 | val_loss: 0.00168466 | Time: 6152.18 ms [2020-11-10 18:45:46 main:574] : INFO : Epoch 92 | loss: 0.00162699 | val_loss: 0.00161654 | Time: 6105.19 ms [2020-11-10 18:45:52 main:574] : INFO : Epoch 93 | loss: 0.00155818 | val_loss: 0.00154444 | Time: 6004.75 ms [2020-11-10 18:45:58 main:574] : INFO : Epoch 94 | loss: 0.00149098 | val_loss: 0.00147822 | Time: 6107.5 ms [2020-11-10 18:46:04 main:574] : INFO : Epoch 95 | loss: 0.00142828 | val_loss: 0.00141667 | Time: 6217.62 ms [2020-11-10 18:46:10 main:574] : INFO : Epoch 96 | loss: 0.00136736 | val_loss: 0.00135544 | Time: 6200.23 ms [2020-11-10 18:46:16 main:574] : INFO : Epoch 97 | loss: 0.00130828 | val_loss: 0.0012941 | Time: 6213.28 ms [2020-11-10 18:46:23 main:574] : INFO : Epoch 98 | loss: 0.00125356 | val_loss: 0.00124429 | Time: 6166.85 ms [2020-11-10 18:46:29 main:574] : INFO : Epoch 99 | loss: 0.00119894 | val_loss: 0.00118761 | Time: 5966.79 ms [2020-11-10 18:46:35 main:574] : INFO : Epoch 100 | loss: 0.00114806 | val_loss: 0.0011381 | Time: 6173.05 ms [2020-11-10 18:46:41 main:574] : INFO : Epoch 101 | loss: 0.00109749 | val_loss: 0.00108825 | Time: 6098.77 ms [2020-11-10 18:46:47 main:574] : INFO : Epoch 102 | loss: 0.00105017 | val_loss: 0.00103998 | Time: 6091.19 ms [2020-11-10 18:46:53 main:574] : INFO : Epoch 103 | loss: 0.00100557 | val_loss: 0.000997235 | Time: 6026.53 ms [2020-11-10 18:47:00 main:574] : INFO : Epoch 104 | loss: 0.000963616 | val_loss: 0.000955764 | Time: 6183.56 ms [2020-11-10 18:47:06 main:574] : INFO : Epoch 105 | loss: 0.000922323 | val_loss: 0.000914476 | Time: 6149.64 ms [2020-11-10 18:47:12 main:574] : INFO : Epoch 106 | loss: 0.000882616 | val_loss: 0.000872616 | Time: 6193.28 ms [2020-11-10 18:47:18 main:574] : INFO : Epoch 107 | loss: 0.000844601 | val_loss: 0.000837811 | Time: 6121.92 ms [2020-11-10 18:47:24 main:574] : INFO : Epoch 108 | loss: 0.000809761 | val_loss: 0.000803451 | Time: 6193.54 ms [2020-11-10 18:47:30 main:574] : INFO : Epoch 109 | loss: 0.000776992 | val_loss: 0.000770632 | Time: 6033.4 ms [2020-11-10 18:47:37 main:574] : INFO : Epoch 110 | loss: 0.000744829 | val_loss: 0.000739036 | Time: 6046.06 ms [2020-11-10 18:47:43 main:574] : INFO : Epoch 111 | loss: 0.000712665 | val_loss: 0.000707474 | Time: 6155.13 ms [2020-11-10 18:47:49 main:574] : INFO : Epoch 112 | loss: 0.000683718 | val_loss: 0.000678304 | Time: 6217.01 ms [2020-11-10 18:47:55 main:574] : INFO : Epoch 113 | loss: 0.000655347 | val_loss: 0.000652289 | Time: 6031.91 ms [2020-11-10 18:48:01 main:574] : INFO : Epoch 114 | loss: 0.0006298 | val_loss: 0.000628117 | Time: 6269.48 ms [2020-11-10 18:48:08 main:574] : INFO : Epoch 115 | loss: 0.000604466 | val_loss: 0.0006016 | Time: 6151.18 ms [2020-11-10 18:48:14 main:574] : INFO : Epoch 116 | loss: 0.00057999 | val_loss: 0.000575329 | Time: 6064.31 ms [2020-11-10 18:48:20 main:574] : INFO : Epoch 117 | loss: 0.000557915 | val_loss: 0.000552453 | Time: 6057.21 ms [2020-11-10 18:48:26 main:574] : INFO : Epoch 118 | loss: 0.000536938 | val_loss: 0.000534261 | Time: 6163.96 ms [2020-11-10 18:48:32 main:574] : INFO : Epoch 119 | loss: 0.000516266 | val_loss: 0.000509622 | Time: 6250.02 ms [2020-11-10 18:48:38 main:574] : INFO : Epoch 120 | loss: 0.000496159 | val_loss: 0.000491361 | Time: 5973.6 ms [2020-11-10 18:48:45 main:574] : INFO : Epoch 121 | loss: 0.000477833 | val_loss: 0.000472909 | Time: 6161.53 ms [2020-11-10 18:48:51 main:574] : INFO : Epoch 122 | loss: 0.000459418 | val_loss: 0.000457091 | Time: 6248.72 ms [2020-11-10 18:48:57 main:574] : INFO : Epoch 123 | loss: 0.000443911 | val_loss: 0.00043979 | Time: 6067.99 ms [2020-11-10 18:49:03 main:574] : INFO : Epoch 124 | loss: 0.000426838 | val_loss: 0.000424669 | Time: 6015.07 ms [2020-11-10 18:49:09 main:574] : INFO : Epoch 125 | loss: 0.000411018 | val_loss: 0.000409934 | Time: 5819.16 ms [2020-11-10 18:49:15 main:574] : INFO : Epoch 126 | loss: 0.000397809 | val_loss: 0.000395303 | Time: 5931.9 ms [2020-11-10 18:49:21 main:574] : INFO : Epoch 127 | loss: 0.000383392 | val_loss: 0.000380877 | Time: 6177.27 ms [2020-11-10 18:49:27 main:574] : INFO : Epoch 128 | loss: 0.000370235 | val_loss: 0.00036823 | Time: 6042.38 ms [2020-11-10 18:49:33 main:574] : INFO : Epoch 129 | loss: 0.000356716 | val_loss: 0.000354909 | Time: 5960.69 ms [2020-11-10 18:49:39 main:574] : INFO : Epoch 130 | loss: 0.000345083 | val_loss: 0.00034193 | Time: 6155.82 ms [2020-11-10 18:49:46 main:574] : INFO : Epoch 131 | loss: 0.000333729 | val_loss: 0.000332549 | Time: 6069.58 ms [2020-11-10 18:49:52 main:574] : INFO : Epoch 132 | loss: 0.000321794 | val_loss: 0.000321197 | Time: 6058.85 ms [2020-11-10 18:49:58 main:574] : INFO : Epoch 133 | loss: 0.000312256 | val_loss: 0.00031125 | Time: 6093.11 ms [2020-11-10 18:50:04 main:574] : INFO : Epoch 134 | loss: 0.000302429 | val_loss: 0.000301066 | Time: 6085.25 ms [2020-11-10 18:50:10 main:574] : INFO : Epoch 135 | loss: 0.000292871 | val_loss: 0.000294104 | Time: 6225.14 ms [2020-11-10 18:50:16 main:574] : INFO : Epoch 136 | loss: 0.00028421 | val_loss: 0.000281952 | Time: 6110.48 ms [2020-11-10 18:50:23 main:574] : INFO : Epoch 137 | loss: 0.000275524 | val_loss: 0.000275134 | Time: 6177.77 ms [2020-11-10 18:50:29 main:574] : INFO : Epoch 138 | loss: 0.00026691 | val_loss: 0.000269117 | Time: 6071.94 ms [2020-11-10 18:50:35 main:574] : INFO : Epoch 139 | loss: 0.000260145 | val_loss: 0.00025969 | Time: 6149.48 ms [2020-11-10 18:50:41 main:574] : INFO : Epoch 140 | loss: 0.000252793 | val_loss: 0.000252596 | Time: 6329.28 ms [2020-11-10 18:50:47 main:574] : INFO : Epoch 141 | loss: 0.000245677 | val_loss: 0.00024717 | Time: 6181.91 ms [2020-11-10 18:50:54 main:574] : INFO : Epoch 142 | loss: 0.00023865 | val_loss: 0.000238944 | Time: 6081.54 ms [2020-11-10 18:51:00 main:574] : INFO : Epoch 143 | loss: 0.000232411 | val_loss: 0.000233298 | Time: 6267.91 ms [2020-11-10 18:51:06 main:574] : INFO : Epoch 144 | loss: 0.000225917 | val_loss: 0.000225694 | Time: 6389.8 ms [2020-11-10 18:51:13 main:574] : INFO : Epoch 145 | loss: 0.000220852 | val_loss: 0.000222343 | Time: 6299.45 ms [2020-11-10 18:51:19 main:574] : INFO : Epoch 146 | loss: 0.000215262 | val_loss: 0.000214266 | Time: 6175.42 ms [2020-11-10 18:51:25 main:574] : INFO : Epoch 147 | loss: 0.000209536 | val_loss: 0.000211601 | Time: 6147.35 ms [2020-11-10 18:51:31 main:574] : INFO : Epoch 148 | loss: 0.000204553 | val_loss: 0.000205295 | Time: 6044.31 ms [2020-11-10 18:51:37 main:574] : INFO : Epoch 149 | loss: 0.00019923 | val_loss: 0.000199421 | Time: 5999.47 ms [2020-11-10 18:51:43 main:574] : INFO : Epoch 150 | loss: 0.000195204 | val_loss: 0.000194131 | Time: 6113.32 ms [2020-11-10 18:51:50 main:574] : INFO : Epoch 151 | loss: 0.000190727 | val_loss: 0.000190044 | Time: 6185.49 ms [2020-11-10 18:51:56 main:574] : INFO : Epoch 152 | loss: 0.000185801 | val_loss: 0.000186409 | Time: 6214.59 ms [2020-11-10 18:52:02 main:574] : INFO : Epoch 153 | loss: 0.000181851 | val_loss: 0.000180938 | Time: 6313.8 ms [2020-11-10 18:52:08 main:574] : INFO : Epoch 154 | loss: 0.000178186 | val_loss: 0.000178346 | Time: 6180.27 ms [2020-11-10 18:52:15 main:574] : INFO : Epoch 155 | loss: 0.000174309 | val_loss: 0.000175887 | Time: 6262.15 ms [2020-11-10 18:52:21 main:574] : INFO : Epoch 156 | loss: 0.00017068 | val_loss: 0.00017144 | Time: 6037.89 ms [2020-11-10 18:52:27 main:574] : INFO : Epoch 157 | loss: 0.000168569 | val_loss: 0.000170422 | Time: 6086.58 ms [2020-11-10 18:52:33 main:574] : INFO : Epoch 158 | loss: 0.000163655 | val_loss: 0.000164218 | Time: 6151.71 ms [2020-11-10 18:52:39 main:574] : INFO : Epoch 159 | loss: 0.000161255 | val_loss: 0.000160901 | Time: 6173.43 ms [2020-11-10 18:52:46 main:574] : INFO : Epoch 160 | loss: 0.000158441 | val_loss: 0.000157179 | Time: 6166.33 ms [2020-11-10 18:52:52 main:574] : INFO : Epoch 161 | loss: 0.000153783 | val_loss: 0.000155054 | Time: 6367.87 ms [2020-11-10 18:52:58 main:574] : INFO : Epoch 162 | loss: 0.000150829 | val_loss: 0.00015315 | Time: 6018.43 ms [2020-11-10 18:53:04 main:574] : INFO : Epoch 163 | loss: 0.000148215 | val_loss: 0.000149615 | Time: 6086.22 ms [2020-11-10 18:53:10 main:574] : INFO : Epoch 164 | loss: 0.000146035 | val_loss: 0.000148444 | Time: 6154.74 ms [2020-11-10 18:53:17 main:574] : INFO : Epoch 165 | loss: 0.000143491 | val_loss: 0.000142625 | Time: 6263.87 ms [2020-11-10 18:53:23 main:574] : INFO : Epoch 166 | loss: 0.000140704 | val_loss: 0.000140918 | Time: 6063.7 ms [2020-11-10 18:53:29 main:574] : INFO : Epoch 167 | loss: 0.000137754 | val_loss: 0.000137487 | Time: 6268.41 ms [2020-11-10 18:53:35 main:574] : INFO : Epoch 168 | loss: 0.000135796 | val_loss: 0.000139016 | Time: 6000.83 ms [2020-11-10 18:53:42 main:574] : INFO : Epoch 169 | loss: 0.000133819 | val_loss: 0.000135594 | Time: 6352.98 ms [2020-11-10 18:53:48 main:574] : INFO : Epoch 170 | loss: 0.000131776 | val_loss: 0.000133571 | Time: 6243.49 ms [2020-11-10 18:53:54 main:574] : INFO : Epoch 171 | loss: 0.000130569 | val_loss: 0.000128726 | Time: 6007.78 ms [2020-11-10 18:54:00 main:574] : INFO : Epoch 172 | loss: 0.0001264 | val_loss: 0.000127664 | Time: 6119.22 ms [2020-11-10 18:54:07 main:574] : INFO : Epoch 173 | loss: 0.00012473 | val_loss: 0.000125764 | Time: 6398.25 ms [2020-11-10 18:54:13 main:574] : INFO : Epoch 174 | loss: 0.000122509 | val_loss: 0.000123459 | Time: 6080.63 ms [2020-11-10 18:54:19 main:574] : INFO : Epoch 175 | loss: 0.000120724 | val_loss: 0.000121857 | Time: 6210.43 ms [2020-11-10 18:54:25 main:574] : INFO : Epoch 176 | loss: 0.000118444 | val_loss: 0.000119247 | Time: 5989.16 ms [2020-11-10 18:54:31 main:574] : INFO : Epoch 177 | loss: 0.000116526 | val_loss: 0.000117475 | Time: 6164.47 ms [2020-11-10 18:54:38 main:574] : INFO : Epoch 178 | loss: 0.000116796 | val_loss: 0.000117657 | Time: 6177.74 ms [2020-11-10 18:54:44 main:574] : INFO : Epoch 179 | loss: 0.000118162 | val_loss: 0.00011282 | Time: 6226.87 ms [2020-11-10 18:54:50 main:574] : INFO : Epoch 180 | loss: 0.00011336 | val_loss: 0.000113576 | Time: 6208.74 ms [2020-11-10 18:54:56 main:574] : INFO : Epoch 181 | loss: 0.000110605 | val_loss: 0.000110712 | Time: 6133.75 ms [2020-11-10 18:55:02 main:574] : INFO : Epoch 182 | loss: 0.000108659 | val_loss: 0.000111621 | Time: 6008.17 ms [2020-11-10 18:55:09 main:574] : INFO : Epoch 183 | loss: 0.000107314 | val_loss: 0.000107743 | Time: 6145.96 ms [2020-11-10 18:55:15 main:574] : INFO : Epoch 184 | loss: 0.000105309 | val_loss: 0.000106416 | Time: 6263.97 ms [2020-11-10 18:55:21 main:574] : INFO : Epoch 185 | loss: 0.000104665 | val_loss: 0.000106706 | Time: 6307.99 ms [2020-11-10 18:55:28 main:574] : INFO : Epoch 186 | loss: 0.000103565 | val_loss: 0.000104331 | Time: 6233.37 ms [2020-11-10 18:55:33 main:574] : INFO : Epoch 187 | loss: 0.000101512 | val_loss: 0.00010274 | Time: 5892.91 ms [2020-11-10 18:55:40 main:574] : INFO : Epoch 188 | loss: 0.000100161 | val_loss: 9.97356e-05 | Time: 6344.04 ms [2020-11-10 18:55:46 main:574] : INFO : Epoch 189 | loss: 9.95764e-05 | val_loss: 9.91043e-05 | Time: 6131.7 ms [2020-11-10 18:55:52 main:574] : INFO : Epoch 190 | loss: 9.78322e-05 | val_loss: 9.79198e-05 | Time: 5993.88 ms [2020-11-10 18:55:58 main:574] : INFO : Epoch 191 | loss: 9.65067e-05 | val_loss: 9.84807e-05 | Time: 6020 ms [2020-11-10 18:56:04 main:574] : INFO : Epoch 192 | loss: 9.65225e-05 | val_loss: 9.59677e-05 | Time: 6126.13 ms [2020-11-10 18:56:04 main:597] : INFO : Saving trained model to model-final.pt, val_loss 9.59677e-05 [2020-11-10 18:56:04 main:603] : INFO : Saving end state to config to file [2020-11-10 18:56:04 main:608] : INFO : Success, exiting.. 18:56:05 (21212): 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)