Task 2880528
| Name | rand_automata_0038-1605112795-1952-0_1 |
| Workunit | 1299776 |
| Created | 11 Nov 2020, 16:39:58 UTC |
| Sent | 18 Nov 2020, 12:03:02 UTC |
| Report deadline | 26 Nov 2020, 12:03:02 UTC |
| Received | 18 Nov 2020, 12:36:53 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 3682 |
| Run time | 14 min 41 sec |
| CPU time | 13 min 23 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 | 3.25 GB |
| Peak disk usage | 1.54 GB |
Stderr output
<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 07:04:55 main:435] : INFO : Set logging level to 1 [2020-11-18 07:04:55 main:441] : INFO : Running in BOINC Client mode [2020-11-18 07:04:56 main:444] : INFO : Resolving all filenames [2020-11-18 07:04:56 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0038-train-val-dataset.hdf5 (exists = 1) [2020-11-18 07:04:56 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0038-1605112795-1952-0_1_r947239282_1 (exists = 0) [2020-11-18 07:04:56 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0038-1605112795-1952-0_1_r947239282_0 (exists = 0) [2020-11-18 07:04:56 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-18 07:04:56 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-18 07:04:56 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0038-train-val-dataset.hdf5 [2020-11-18 07:04:56 main:474] : INFO : Configuration: [2020-11-18 07:04:56 main:475] : INFO : Model type: LSTM [2020-11-18 07:04:56 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-18 07:04:56 main:477] : INFO : Max Epochs: 192 [2020-11-18 07:04:56 main:478] : INFO : Batch Size: 32 [2020-11-18 07:04:56 main:479] : INFO : Learning Rate: 0.001 [2020-11-18 07:04:56 main:480] : INFO : Patience: 10 [2020-11-18 07:04:56 main:481] : INFO : Hidden Width: 64 [2020-11-18 07:04:56 main:482] : INFO : # Recurrent Layers: 4 [2020-11-18 07:04:56 main:483] : INFO : # Backend Layers: 2 [2020-11-18 07:04:56 main:484] : INFO : # Threads: 1 [2020-11-18 07:04:57 main:486] : INFO : Preparing Dataset [2020-11-18 07:04:57 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0038-train-val-dataset.hdf5 into memory [2020-11-18 07:04:57 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0038-train-val-dataset.hdf5 into memory [2020-11-18 07:04:58 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-18 07:04:59 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0038-train-val-dataset.hdf5 into memory [2020-11-18 07:04:59 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0038-train-val-dataset.hdf5 into memory [2020-11-18 07:04:59 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-18 07:04:59 main:494] : INFO : Creating Model [2020-11-18 07:04:59 main:507] : INFO : Preparing config file [2020-11-18 07:04:59 main:519] : INFO : Creating new config file [2020-11-18 07:05:00 main:559] : INFO : Loading DataLoader into Memory [2020-11-18 07:05:00 main:562] : INFO : Starting Training [2020-11-18 07:05:05 main:574] : INFO : Epoch 1 | loss: 0.0663744 | val_loss: 0.0659361 | Time: 4643.68 ms [2020-11-18 07:05:09 main:574] : INFO : Epoch 2 | loss: 0.0656003 | val_loss: 0.0644523 | Time: 4205.31 ms [2020-11-18 07:05:13 main:574] : INFO : Epoch 3 | loss: 0.0631497 | val_loss: 0.0613463 | Time: 4249.85 ms [2020-11-18 07:05:18 main:574] : INFO : Epoch 4 | loss: 0.0591993 | val_loss: 0.0573641 | Time: 4240.17 ms [2020-11-18 07:05:22 main:574] : INFO : Epoch 5 | loss: 0.0562258 | val_loss: 0.0554055 | Time: 4198.01 ms [2020-11-18 07:05:26 main:574] : INFO : Epoch 6 | loss: 0.05425 | val_loss: 0.0533559 | Time: 4202.21 ms [2020-11-18 07:05:30 main:574] : INFO : Epoch 7 | loss: 0.0525842 | val_loss: 0.0518508 | Time: 4269.23 ms [2020-11-18 07:05:35 main:574] : INFO : Epoch 8 | loss: 0.0511244 | val_loss: 0.0503981 | Time: 4248.32 ms [2020-11-18 07:05:39 main:574] : INFO : Epoch 9 | loss: 0.0495538 | val_loss: 0.0490114 | Time: 4220.61 ms [2020-11-18 07:05:43 main:574] : INFO : Epoch 10 | loss: 0.0477598 | val_loss: 0.0469694 | Time: 4237.9 ms [2020-11-18 07:05:48 main:574] : INFO : Epoch 11 | loss: 0.0456802 | val_loss: 0.04483 | Time: 4239.38 ms [2020-11-18 07:05:52 main:574] : INFO : Epoch 12 | loss: 0.043221 | val_loss: 0.0423393 | Time: 4187.91 ms [2020-11-18 07:05:56 main:574] : INFO : Epoch 13 | loss: 0.0402789 | val_loss: 0.0390127 | Time: 4231.37 ms [2020-11-18 07:06:01 main:574] : INFO : Epoch 14 | loss: 0.036965 | val_loss: 0.0357202 | Time: 4239.11 ms [2020-11-18 07:06:05 main:574] : INFO : Epoch 15 | loss: 0.0332292 | val_loss: 0.0326848 | Time: 4228.13 ms [2020-11-18 07:06:09 main:574] : INFO : Epoch 16 | loss: 0.030532 | val_loss: 0.0377795 | Time: 4212.33 ms [2020-11-18 07:06:13 main:574] : INFO : Epoch 17 | loss: 0.0273945 | val_loss: 0.0260488 | Time: 4199.74 ms [2020-11-18 07:06:18 main:574] : INFO : Epoch 18 | loss: 0.0248321 | val_loss: 0.0250893 | Time: 4220.04 ms [2020-11-18 07:06:22 main:574] : INFO : Epoch 19 | loss: 0.0283658 | val_loss: 0.0410113 | Time: 4257.82 ms [2020-11-18 07:06:26 main:574] : INFO : Epoch 20 | loss: 0.0256816 | val_loss: 0.017707 | Time: 4209.21 ms [2020-11-18 07:06:31 main:574] : INFO : Epoch 21 | loss: 0.0439227 | val_loss: 0.0292548 | Time: 4244.06 ms [2020-11-18 07:06:35 main:574] : INFO : Epoch 22 | loss: 0.0236868 | val_loss: 0.0240155 | Time: 4228.93 ms [2020-11-18 07:06:39 main:574] : INFO : Epoch 23 | loss: 0.0164356 | val_loss: 0.01578 | Time: 4230.07 ms [2020-11-18 07:06:44 main:574] : INFO : Epoch 24 | loss: 0.0144515 | val_loss: 0.0164305 | Time: 4152.63 ms [2020-11-18 07:06:48 main:574] : INFO : Epoch 25 | loss: 0.0126803 | val_loss: 0.0129362 | Time: 4229.86 ms [2020-11-18 07:06:52 main:574] : INFO : Epoch 26 | loss: 0.013159 | val_loss: 0.0302167 | Time: 4252.35 ms [2020-11-18 07:06:56 main:574] : INFO : Epoch 27 | loss: 0.0137792 | val_loss: 0.0112624 | Time: 4227.57 ms [2020-11-18 07:07:01 main:574] : INFO : Epoch 28 | loss: 0.0102396 | val_loss: 0.00978886 | Time: 4221.28 ms [2020-11-18 07:07:05 main:574] : INFO : Epoch 29 | loss: 0.00916877 | val_loss: 0.00918949 | Time: 4223.59 ms [2020-11-18 07:07:09 main:574] : INFO : Epoch 30 | loss: 0.00860473 | val_loss: 0.0091795 | Time: 4223.87 ms [2020-11-18 07:07:14 main:574] : INFO : Epoch 31 | loss: 0.00826472 | val_loss: 0.00828259 | Time: 4247.16 ms [2020-11-18 07:07:18 main:574] : INFO : Epoch 32 | loss: 0.00781796 | val_loss: 0.00797005 | Time: 4237.46 ms [2020-11-18 07:07:22 main:574] : INFO : Epoch 33 | loss: 0.00749607 | val_loss: 0.0076352 | Time: 4217.68 ms [2020-11-18 07:07:27 main:574] : INFO : Epoch 34 | loss: 0.00738213 | val_loss: 0.00774969 | Time: 4220.62 ms [2020-11-18 07:07:31 main:574] : INFO : Epoch 35 | loss: 0.00713876 | val_loss: 0.00706418 | Time: 4205.55 ms [2020-11-18 07:07:35 main:574] : INFO : Epoch 36 | loss: 0.0066484 | val_loss: 0.0067468 | Time: 4154.44 ms [2020-11-18 07:07:39 main:574] : INFO : Epoch 37 | loss: 0.00637399 | val_loss: 0.00647157 | Time: 4208.57 ms [2020-11-18 07:07:44 main:574] : INFO : Epoch 38 | loss: 0.00610866 | val_loss: 0.00620371 | Time: 4187.68 ms [2020-11-18 07:07:48 main:574] : INFO : Epoch 39 | loss: 0.00586775 | val_loss: 0.00601226 | Time: 4167.26 ms [2020-11-18 07:07:52 main:574] : INFO : Epoch 40 | loss: 0.0056376 | val_loss: 0.00572714 | Time: 4256.42 ms [2020-11-18 07:07:57 main:574] : INFO : Epoch 41 | loss: 0.00540575 | val_loss: 0.00542696 | Time: 4250.24 ms [2020-11-18 07:08:01 main:574] : INFO : Epoch 42 | loss: 0.00519156 | val_loss: 0.00518156 | Time: 4199.52 ms [2020-11-18 07:08:05 main:574] : INFO : Epoch 43 | loss: 0.00498194 | val_loss: 0.00496611 | Time: 4248.18 ms [2020-11-18 07:08:10 main:574] : INFO : Epoch 44 | loss: 0.00477145 | val_loss: 0.00475871 | Time: 4236.4 ms [2020-11-18 07:08:14 main:574] : INFO : Epoch 45 | loss: 0.0045732 | val_loss: 0.00455771 | Time: 4220.76 ms [2020-11-18 07:08:18 main:574] : INFO : Epoch 46 | loss: 0.00438165 | val_loss: 0.00436774 | Time: 4209.95 ms [2020-11-18 07:08:22 main:574] : INFO : Epoch 47 | loss: 0.0041953 | val_loss: 0.00417987 | Time: 4255.84 ms [2020-11-18 07:08:27 main:574] : INFO : Epoch 48 | loss: 0.00401746 | val_loss: 0.00400406 | Time: 4320.77 ms [2020-11-18 07:08:31 main:574] : INFO : Epoch 49 | loss: 0.00384615 | val_loss: 0.00382773 | Time: 4446.52 ms [2020-11-18 07:08:36 main:574] : INFO : Epoch 50 | loss: 0.00368092 | val_loss: 0.00366546 | Time: 4240.34 ms [2020-11-18 07:08:40 main:574] : INFO : Epoch 51 | loss: 0.0035221 | val_loss: 0.00350875 | Time: 4238.47 ms [2020-11-18 07:08:44 main:574] : INFO : Epoch 52 | loss: 0.00337037 | val_loss: 0.00335027 | Time: 4224.11 ms [2020-11-18 07:08:49 main:574] : INFO : Epoch 53 | loss: 0.00322417 | val_loss: 0.00320817 | Time: 4243.96 ms [2020-11-18 07:08:53 main:574] : INFO : Epoch 54 | loss: 0.00308189 | val_loss: 0.00306865 | Time: 4248.83 ms [2020-11-18 07:08:57 main:574] : INFO : Epoch 55 | loss: 0.00294932 | val_loss: 0.00293525 | Time: 4206.28 ms [2020-11-18 07:09:02 main:574] : INFO : Epoch 56 | loss: 0.00282115 | val_loss: 0.00281047 | Time: 4238.9 ms [2020-11-18 07:09:06 main:574] : INFO : Epoch 57 | loss: 0.00269859 | val_loss: 0.00269079 | Time: 4193.5 ms [2020-11-18 07:09:10 main:574] : INFO : Epoch 58 | loss: 0.00258203 | val_loss: 0.00257351 | Time: 4221.93 ms [2020-11-18 07:09:15 main:574] : INFO : Epoch 59 | loss: 0.00247035 | val_loss: 0.00246052 | Time: 4174.79 ms [2020-11-18 07:09:19 main:574] : INFO : Epoch 60 | loss: 0.00236303 | val_loss: 0.0023572 | Time: 4195.58 ms [2020-11-18 07:09:23 main:574] : INFO : Epoch 61 | loss: 0.00226143 | val_loss: 0.00225875 | Time: 4230.4 ms [2020-11-18 07:09:27 main:574] : INFO : Epoch 62 | loss: 0.00216228 | val_loss: 0.00215541 | Time: 4240.35 ms [2020-11-18 07:09:32 main:574] : INFO : Epoch 63 | loss: 0.00206816 | val_loss: 0.00206187 | Time: 4199.76 ms [2020-11-18 07:09:36 main:574] : INFO : Epoch 64 | loss: 0.0019775 | val_loss: 0.00197229 | Time: 4208.74 ms [2020-11-18 07:09:40 main:574] : INFO : Epoch 65 | loss: 0.00189041 | val_loss: 0.00188433 | Time: 4231.61 ms [2020-11-18 07:09:45 main:574] : INFO : Epoch 66 | loss: 0.00180715 | val_loss: 0.00180306 | Time: 4237.1 ms [2020-11-18 07:09:49 main:574] : INFO : Epoch 67 | loss: 0.00172808 | val_loss: 0.0017269 | Time: 4233.27 ms [2020-11-18 07:09:53 main:574] : INFO : Epoch 68 | loss: 0.00164998 | val_loss: 0.00164444 | Time: 4246.59 ms [2020-11-18 07:09:58 main:574] : INFO : Epoch 69 | loss: 0.00157634 | val_loss: 0.00157262 | Time: 4194.85 ms [2020-11-18 07:10:02 main:574] : INFO : Epoch 70 | loss: 0.00150568 | val_loss: 0.00150158 | Time: 4171.76 ms [2020-11-18 07:10:06 main:574] : INFO : Epoch 71 | loss: 0.00143798 | val_loss: 0.0014336 | Time: 4166.21 ms [2020-11-18 07:10:10 main:574] : INFO : Epoch 72 | loss: 0.00137291 | val_loss: 0.0013677 | Time: 4234.03 ms [2020-11-18 07:10:15 main:574] : INFO : Epoch 73 | loss: 0.00131023 | val_loss: 0.00130925 | Time: 4180.13 ms [2020-11-18 07:10:19 main:574] : INFO : Epoch 74 | loss: 0.00125022 | val_loss: 0.00124852 | Time: 4259.46 ms [2020-11-18 07:10:23 main:574] : INFO : Epoch 75 | loss: 0.00119361 | val_loss: 0.00119082 | Time: 4260.13 ms [2020-11-18 07:10:28 main:574] : INFO : Epoch 76 | loss: 0.0011395 | val_loss: 0.00113473 | Time: 4225.37 ms [2020-11-18 07:10:32 main:574] : INFO : Epoch 77 | loss: 0.00108729 | val_loss: 0.00108488 | Time: 4169.68 ms [2020-11-18 07:10:36 main:574] : INFO : Epoch 78 | loss: 0.00103738 | val_loss: 0.00103598 | Time: 4255.26 ms [2020-11-18 07:10:40 main:574] : INFO : Epoch 79 | loss: 0.000990187 | val_loss: 0.00099015 | Time: 4192.5 ms [2020-11-18 07:10:45 main:574] : INFO : Epoch 80 | loss: 0.000945196 | val_loss: 0.000946472 | Time: 4208.29 ms [2020-11-18 07:10:49 main:574] : INFO : Epoch 81 | loss: 0.000902313 | val_loss: 0.000900322 | Time: 4224.39 ms [2020-11-18 07:10:53 main:574] : INFO : Epoch 82 | loss: 0.000860827 | val_loss: 0.00085825 | Time: 4242.78 ms [2020-11-18 07:10:58 main:574] : INFO : Epoch 83 | loss: 0.000822398 | val_loss: 0.000820187 | Time: 4217.29 ms [2020-11-18 07:11:02 main:574] : INFO : Epoch 84 | loss: 0.000785165 | val_loss: 0.000784156 | Time: 4169.79 ms [2020-11-18 07:11:06 main:574] : INFO : Epoch 85 | loss: 0.000750244 | val_loss: 0.000749795 | Time: 4310.87 ms [2020-11-18 07:11:11 main:574] : INFO : Epoch 86 | loss: 0.000715954 | val_loss: 0.000716774 | Time: 4210.5 ms [2020-11-18 07:11:15 main:574] : INFO : Epoch 87 | loss: 0.000686013 | val_loss: 0.000685069 | Time: 4253.74 ms [2020-11-18 07:11:19 main:574] : INFO : Epoch 88 | loss: 0.000654812 | val_loss: 0.000657099 | Time: 4235.35 ms [2020-11-18 07:11:24 main:574] : INFO : Epoch 89 | loss: 0.000627856 | val_loss: 0.000628577 | Time: 4266.01 ms [2020-11-18 07:11:28 main:574] : INFO : Epoch 90 | loss: 0.000600401 | val_loss: 0.000600834 | Time: 4232.82 ms [2020-11-18 07:11:32 main:574] : INFO : Epoch 91 | loss: 0.000574772 | val_loss: 0.000575727 | Time: 4218.08 ms [2020-11-18 07:11:36 main:574] : INFO : Epoch 92 | loss: 0.000551068 | val_loss: 0.0005516 | Time: 4267.46 ms [2020-11-18 07:11:41 main:574] : INFO : Epoch 93 | loss: 0.00052769 | val_loss: 0.00052881 | Time: 4216.79 ms [2020-11-18 07:11:45 main:574] : INFO : Epoch 94 | loss: 0.00050564 | val_loss: 0.000510428 | Time: 4193.13 ms [2020-11-18 07:11:49 main:574] : INFO : Epoch 95 | loss: 0.000485999 | val_loss: 0.000490305 | Time: 4212.64 ms [2020-11-18 07:11:54 main:574] : INFO : Epoch 96 | loss: 0.000466352 | val_loss: 0.000470951 | Time: 4267.99 ms [2020-11-18 07:11:58 main:574] : INFO : Epoch 97 | loss: 0.000447408 | val_loss: 0.000449804 | Time: 4234.22 ms [2020-11-18 07:12:02 main:574] : INFO : Epoch 98 | loss: 0.000429123 | val_loss: 0.000431988 | Time: 4228.58 ms [2020-11-18 07:12:07 main:574] : INFO : Epoch 99 | loss: 0.000411866 | val_loss: 0.000412175 | Time: 4216.39 ms [2020-11-18 07:12:11 main:574] : INFO : Epoch 100 | loss: 0.000396001 | val_loss: 0.000399518 | Time: 4284.66 ms [2020-11-18 07:12:15 main:574] : INFO : Epoch 101 | loss: 0.000380704 | val_loss: 0.000381485 | Time: 4219.22 ms [2020-11-18 07:12:19 main:574] : INFO : Epoch 102 | loss: 0.000366464 | val_loss: 0.000368406 | Time: 4233.72 ms [2020-11-18 07:12:24 main:574] : INFO : Epoch 103 | loss: 0.000353165 | val_loss: 0.00035545 | Time: 4268.47 ms [2020-11-18 07:12:28 main:574] : INFO : Epoch 104 | loss: 0.000340935 | val_loss: 0.000339704 | Time: 4218.01 ms [2020-11-18 07:12:32 main:574] : INFO : Epoch 105 | loss: 0.000326245 | val_loss: 0.000328601 | Time: 4244.02 ms [2020-11-18 07:12:37 main:574] : INFO : Epoch 106 | loss: 0.000314696 | val_loss: 0.00031519 | Time: 4204.9 ms [2020-11-18 07:12:41 main:574] : INFO : Epoch 107 | loss: 0.000303832 | val_loss: 0.000305191 | Time: 4258.31 ms [2020-11-18 07:12:45 main:574] : INFO : Epoch 108 | loss: 0.000293017 | val_loss: 0.000295379 | Time: 4265.25 ms [2020-11-18 07:12:50 main:574] : INFO : Epoch 109 | loss: 0.000283037 | val_loss: 0.000284086 | Time: 4220.66 ms [2020-11-18 07:12:54 main:574] : INFO : Epoch 110 | loss: 0.000272205 | val_loss: 0.00027495 | Time: 4237.73 ms [2020-11-18 07:12:58 main:574] : INFO : Epoch 111 | loss: 0.000262579 | val_loss: 0.00026621 | Time: 4226.77 ms [2020-11-18 07:13:03 main:574] : INFO : Epoch 112 | loss: 0.000254497 | val_loss: 0.000256255 | Time: 4196.67 ms [2020-11-18 07:13:07 main:574] : INFO : Epoch 113 | loss: 0.000245841 | val_loss: 0.000247216 | Time: 4265.08 ms [2020-11-18 07:13:11 main:574] : INFO : Epoch 114 | loss: 0.000237295 | val_loss: 0.000240971 | Time: 4246.13 ms [2020-11-18 07:13:16 main:574] : INFO : Epoch 115 | loss: 0.000230004 | val_loss: 0.000231974 | Time: 4212.56 ms [2020-11-18 07:13:20 main:574] : INFO : Epoch 116 | loss: 0.00022237 | val_loss: 0.00022491 | Time: 4206.47 ms [2020-11-18 07:13:24 main:574] : INFO : Epoch 117 | loss: 0.000215097 | val_loss: 0.000221429 | Time: 4190.43 ms [2020-11-18 07:13:28 main:574] : INFO : Epoch 118 | loss: 0.000209016 | val_loss: 0.000210323 | Time: 4224.85 ms [2020-11-18 07:13:33 main:574] : INFO : Epoch 119 | loss: 0.000202414 | val_loss: 0.000204628 | Time: 4211.03 ms [2020-11-18 07:13:37 main:574] : INFO : Epoch 120 | loss: 0.000196312 | val_loss: 0.000201231 | Time: 4194.32 ms [2020-11-18 07:13:41 main:574] : INFO : Epoch 121 | loss: 0.000190171 | val_loss: 0.000193781 | Time: 4197.28 ms [2020-11-18 07:13:45 main:574] : INFO : Epoch 122 | loss: 0.000185107 | val_loss: 0.000188117 | Time: 4200.74 ms [2020-11-18 07:13:50 main:574] : INFO : Epoch 123 | loss: 0.00017965 | val_loss: 0.000182485 | Time: 4268.48 ms [2020-11-18 07:13:54 main:574] : INFO : Epoch 124 | loss: 0.000174053 | val_loss: 0.000178504 | Time: 4246.28 ms [2020-11-18 07:13:58 main:574] : INFO : Epoch 125 | loss: 0.000169495 | val_loss: 0.000171559 | Time: 4282.48 ms [2020-11-18 07:14:03 main:574] : INFO : Epoch 126 | loss: 0.00016468 | val_loss: 0.000170808 | Time: 4183.4 ms [2020-11-18 07:14:07 main:574] : INFO : Epoch 127 | loss: 0.000159849 | val_loss: 0.000162791 | Time: 4237.83 ms [2020-11-18 07:14:11 main:574] : INFO : Epoch 128 | loss: 0.000155653 | val_loss: 0.000159129 | Time: 4198.8 ms [2020-11-18 07:14:16 main:574] : INFO : Epoch 129 | loss: 0.000151995 | val_loss: 0.000155114 | Time: 4228.17 ms [2020-11-18 07:14:20 main:574] : INFO : Epoch 130 | loss: 0.000148039 | val_loss: 0.000150043 | Time: 4231.8 ms [2020-11-18 07:14:24 main:574] : INFO : Epoch 131 | loss: 0.000143772 | val_loss: 0.00014513 | Time: 4204.53 ms [2020-11-18 07:14:29 main:574] : INFO : Epoch 132 | loss: 0.000139935 | val_loss: 0.000143962 | Time: 4223.84 ms [2020-11-18 07:14:33 main:574] : INFO : Epoch 133 | loss: 0.000137165 | val_loss: 0.00013977 | Time: 4198.3 ms [2020-11-18 07:14:37 main:574] : INFO : Epoch 134 | loss: 0.000133621 | val_loss: 0.000137745 | Time: 4199.83 ms [2020-11-18 07:14:41 main:574] : INFO : Epoch 135 | loss: 0.000130803 | val_loss: 0.000132896 | Time: 4234.81 ms [2020-11-18 07:14:46 main:574] : INFO : Epoch 136 | loss: 0.000127212 | val_loss: 0.00012966 | Time: 4230.35 ms [2020-11-18 07:14:50 main:574] : INFO : Epoch 137 | loss: 0.000124042 | val_loss: 0.000126213 | Time: 4201.45 ms [2020-11-18 07:14:54 main:574] : INFO : Epoch 138 | loss: 0.000121107 | val_loss: 0.000123845 | Time: 4210.54 ms [2020-11-18 07:14:59 main:574] : INFO : Epoch 139 | loss: 0.00011865 | val_loss: 0.000121962 | Time: 4220.91 ms [2020-11-18 07:15:03 main:574] : INFO : Epoch 140 | loss: 0.000115798 | val_loss: 0.000119121 | Time: 4313.67 ms [2020-11-18 07:15:07 main:574] : INFO : Epoch 141 | loss: 0.00011308 | val_loss: 0.000116555 | Time: 4299.3 ms [2020-11-18 07:15:12 main:574] : INFO : Epoch 142 | loss: 0.000110642 | val_loss: 0.000112287 | Time: 4217.93 ms [2020-11-18 07:15:16 main:574] : INFO : Epoch 143 | loss: 0.000107841 | val_loss: 0.000111152 | Time: 4222.92 ms [2020-11-18 07:15:20 main:574] : INFO : Epoch 144 | loss: 0.000105846 | val_loss: 0.00010897 | Time: 4226.28 ms [2020-11-18 07:15:24 main:574] : INFO : Epoch 145 | loss: 0.000103346 | val_loss: 0.000106134 | Time: 4234.63 ms [2020-11-18 07:15:29 main:574] : INFO : Epoch 146 | loss: 0.000101254 | val_loss: 0.000104841 | Time: 4231 ms [2020-11-18 07:15:33 main:574] : INFO : Epoch 147 | loss: 9.87383e-05 | val_loss: 0.000101034 | Time: 4259.35 ms [2020-11-18 07:15:37 main:574] : INFO : Epoch 148 | loss: 9.7288e-05 | val_loss: 9.85678e-05 | Time: 4255.13 ms [2020-11-18 07:15:42 main:574] : INFO : Epoch 149 | loss: 9.48271e-05 | val_loss: 9.60875e-05 | Time: 4214.94 ms [2020-11-18 07:15:46 main:574] : INFO : Epoch 150 | loss: 9.30172e-05 | val_loss: 9.46673e-05 | Time: 4171.31 ms [2020-11-18 07:15:50 main:574] : INFO : Epoch 151 | loss: 9.10723e-05 | val_loss: 9.26713e-05 | Time: 4210.45 ms [2020-11-18 07:15:55 main:574] : INFO : Epoch 152 | loss: 8.9209e-05 | val_loss: 9.11434e-05 | Time: 4217.43 ms [2020-11-18 07:15:59 main:574] : INFO : Epoch 153 | loss: 8.7594e-05 | val_loss: 9.21977e-05 | Time: 4260.41 ms [2020-11-18 07:16:03 main:574] : INFO : Epoch 154 | loss: 8.60758e-05 | val_loss: 9.0047e-05 | Time: 4210.81 ms [2020-11-18 07:16:07 main:574] : INFO : Epoch 155 | loss: 8.48002e-05 | val_loss: 8.73349e-05 | Time: 4245.24 ms [2020-11-18 07:16:12 main:574] : INFO : Epoch 156 | loss: 8.26116e-05 | val_loss: 8.3942e-05 | Time: 4252.63 ms [2020-11-18 07:16:16 main:574] : INFO : Epoch 157 | loss: 8.06355e-05 | val_loss: 8.39228e-05 | Time: 4269.19 ms [2020-11-18 07:16:20 main:574] : INFO : Epoch 158 | loss: 7.93369e-05 | val_loss: 8.30453e-05 | Time: 4249.11 ms [2020-11-18 07:16:25 main:574] : INFO : Epoch 159 | loss: 7.82566e-05 | val_loss: 8.02872e-05 | Time: 4249 ms [2020-11-18 07:16:29 main:574] : INFO : Epoch 160 | loss: 7.67516e-05 | val_loss: 7.87565e-05 | Time: 4211.02 ms [2020-11-18 07:16:33 main:574] : INFO : Epoch 161 | loss: 7.48679e-05 | val_loss: 7.80682e-05 | Time: 4265.21 ms [2020-11-18 07:16:38 main:574] : INFO : Epoch 162 | loss: 7.42797e-05 | val_loss: 7.72519e-05 | Time: 4204.15 ms [2020-11-18 07:16:42 main:574] : INFO : Epoch 163 | loss: 7.23612e-05 | val_loss: 7.4609e-05 | Time: 4284.49 ms [2020-11-18 07:16:46 main:574] : INFO : Epoch 164 | loss: 7.15126e-05 | val_loss: 7.38255e-05 | Time: 4235.43 ms [2020-11-18 07:16:51 main:574] : INFO : Epoch 165 | loss: 7.02225e-05 | val_loss: 7.25631e-05 | Time: 4178.36 ms [2020-11-18 07:16:55 main:574] : INFO : Epoch 166 | loss: 6.91837e-05 | val_loss: 7.23632e-05 | Time: 4193.8 ms [2020-11-18 07:16:59 main:574] : INFO : Epoch 167 | loss: 6.78607e-05 | val_loss: 6.89776e-05 | Time: 4271.38 ms [2020-11-18 07:17:03 main:574] : INFO : Epoch 168 | loss: 6.68812e-05 | val_loss: 6.94587e-05 | Time: 4236.64 ms [2020-11-18 07:17:08 main:574] : INFO : Epoch 169 | loss: 6.58809e-05 | val_loss: 6.80673e-05 | Time: 4232.15 ms [2020-11-18 07:17:12 main:574] : INFO : Epoch 170 | loss: 6.47203e-05 | val_loss: 6.65414e-05 | Time: 4230.76 ms [2020-11-18 07:17:16 main:574] : INFO : Epoch 171 | loss: 6.34482e-05 | val_loss: 6.84088e-05 | Time: 4215.68 ms [2020-11-18 07:17:21 main:574] : INFO : Epoch 172 | loss: 6.26855e-05 | val_loss: 6.56497e-05 | Time: 4204.32 ms [2020-11-18 07:17:25 main:574] : INFO : Epoch 173 | loss: 6.16302e-05 | val_loss: 6.40892e-05 | Time: 4250.57 ms [2020-11-18 07:17:29 main:574] : INFO : Epoch 174 | loss: 6.0684e-05 | val_loss: 6.30214e-05 | Time: 4204.27 ms [2020-11-18 07:17:34 main:574] : INFO : Epoch 175 | loss: 5.97931e-05 | val_loss: 6.14732e-05 | Time: 4244.84 ms [2020-11-18 07:17:38 main:574] : INFO : Epoch 176 | loss: 5.85171e-05 | val_loss: 6.24019e-05 | Time: 4246.35 ms [2020-11-18 07:17:42 main:574] : INFO : Epoch 177 | loss: 5.80669e-05 | val_loss: 5.96686e-05 | Time: 4203.31 ms [2020-11-18 07:17:46 main:574] : INFO : Epoch 178 | loss: 5.73882e-05 | val_loss: 5.96291e-05 | Time: 4223.79 ms [2020-11-18 07:17:51 main:574] : INFO : Epoch 179 | loss: 5.62169e-05 | val_loss: 5.91487e-05 | Time: 4168.36 ms [2020-11-18 07:17:55 main:574] : INFO : Epoch 180 | loss: 5.54198e-05 | val_loss: 5.66305e-05 | Time: 4174.64 ms [2020-11-18 07:17:59 main:574] : INFO : Epoch 181 | loss: 5.48096e-05 | val_loss: 5.66483e-05 | Time: 4231.28 ms [2020-11-18 07:18:04 main:574] : INFO : Epoch 182 | loss: 5.39745e-05 | val_loss: 5.60404e-05 | Time: 4375.79 ms [2020-11-18 07:18:08 main:574] : INFO : Epoch 183 | loss: 5.28524e-05 | val_loss: 5.56344e-05 | Time: 4387.14 ms [2020-11-18 07:18:13 main:574] : INFO : Epoch 184 | loss: 5.27463e-05 | val_loss: 5.45465e-05 | Time: 4231.01 ms [2020-11-18 07:18:17 main:574] : INFO : Epoch 185 | loss: 5.20675e-05 | val_loss: 5.44011e-05 | Time: 4236.79 ms [2020-11-18 07:18:21 main:574] : INFO : Epoch 186 | loss: 5.10484e-05 | val_loss: 5.31604e-05 | Time: 4256.92 ms [2020-11-18 07:18:25 main:574] : INFO : Epoch 187 | loss: 5.01952e-05 | val_loss: 5.27382e-05 | Time: 4228.86 ms [2020-11-18 07:18:30 main:574] : INFO : Epoch 188 | loss: 4.96513e-05 | val_loss: 5.11357e-05 | Time: 4261.14 ms [2020-11-18 07:18:34 main:574] : INFO : Epoch 189 | loss: 4.90469e-05 | val_loss: 5.24954e-05 | Time: 4253.23 ms [2020-11-18 07:18:38 main:574] : INFO : Epoch 190 | loss: 4.89461e-05 | val_loss: 5.11365e-05 | Time: 4236.05 ms [2020-11-18 07:18:43 main:574] : INFO : Epoch 191 | loss: 4.79781e-05 | val_loss: 5.13544e-05 | Time: 4202.61 ms [2020-11-18 07:18:47 main:574] : INFO : Epoch 192 | loss: 4.77697e-05 | val_loss: 5.06345e-05 | Time: 4243.24 ms [2020-11-18 07:18:47 main:597] : INFO : Saving trained model to model-final.pt, val_loss 5.06345e-05 [2020-11-18 07:18:47 main:603] : INFO : Saving end state to config to file [2020-11-18 07:18:47 main:608] : INFO : Success, exiting.. 07:18:47 (5064): 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)