Task 2830984
| Name | rand_automata_0026-1604877620-10351-3_0 |
| Workunit | 1275809 |
| Created | 11 Nov 2020, 5:55:21 UTC |
| Sent | 11 Nov 2020, 5:55:31 UTC |
| Report deadline | 18 Nov 2020, 5:55:31 UTC |
| Received | 11 Nov 2020, 12:49:23 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 574 |
| Run time | 20 min 2 sec |
| CPU time | 19 min 25 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) [2020-11-11 13:29:13 main:435] : INFO : Set logging level to 1 [2020-11-11 13:29:13 main:441] : INFO : Running in BOINC Client mode [2020-11-11 13:29:13 main:444] : INFO : Resolving all filenames [2020-11-11 13:29:13 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0026-train-val-dataset.hdf5 (exists = 1) [2020-11-11 13:29:13 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0026-1604877620-10351-3_0_r508475597_1 (exists = 0) [2020-11-11 13:29:13 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0026-1604877620-10351-3_0_r508475597_0 (exists = 0) [2020-11-11 13:29:13 main:452] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0026-1604877620-10351-3 (exists = 1) [2020-11-11 13:29:13 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-11 13:29:13 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0026-train-val-dataset.hdf5 [2020-11-11 13:29:13 main:474] : INFO : Configuration: [2020-11-11 13:29:13 main:475] : INFO : Model type: LSTM [2020-11-11 13:29:13 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-11 13:29:13 main:477] : INFO : Max Epochs: 192 [2020-11-11 13:29:13 main:478] : INFO : Batch Size: 32 [2020-11-11 13:29:13 main:479] : INFO : Learning Rate: 0.001 [2020-11-11 13:29:13 main:480] : INFO : Patience: 10 [2020-11-11 13:29:13 main:481] : INFO : Hidden Width: 64 [2020-11-11 13:29:14 main:482] : INFO : # Recurrent Layers: 4 [2020-11-11 13:29:14 main:483] : INFO : # Backend Layers: 2 [2020-11-11 13:29:14 main:484] : INFO : # Threads: 1 [2020-11-11 13:29:14 main:486] : INFO : Preparing Dataset [2020-11-11 13:29:14 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0026-train-val-dataset.hdf5 into memory [2020-11-11 13:29:14 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0026-train-val-dataset.hdf5 into memory [2020-11-11 13:29:16 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-11 13:29:16 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0026-train-val-dataset.hdf5 into memory [2020-11-11 13:29:16 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0026-train-val-dataset.hdf5 into memory [2020-11-11 13:29:17 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-11 13:29:17 main:494] : INFO : Creating Model [2020-11-11 13:29:17 main:507] : INFO : Preparing config file [2020-11-11 13:29:17 main:519] : INFO : Creating new config file [2020-11-11 13:29:17 main:538] : INFO : This is a continuation WU, loading previous network [2020-11-11 13:29:18 main:559] : INFO : Loading DataLoader into Memory [2020-11-11 13:29:18 main:562] : INFO : Starting Training [2020-11-11 13:29:25 main:574] : INFO : Epoch 1 | loss: 0.0398021 | val_loss: 0.0267049 | Time: 6707.74 ms [2020-11-11 13:29:31 main:574] : INFO : Epoch 2 | loss: 0.0318107 | val_loss: 0.0251482 | Time: 6269.74 ms [2020-11-11 13:29:37 main:574] : INFO : Epoch 3 | loss: 0.0235451 | val_loss: 0.0216656 | Time: 6188.73 ms [2020-11-11 13:29:44 main:574] : INFO : Epoch 4 | loss: 0.0183428 | val_loss: 0.016611 | Time: 6095.11 ms [2020-11-11 13:29:50 main:574] : INFO : Epoch 5 | loss: 0.0137447 | val_loss: 0.0128115 | Time: 6405.42 ms [2020-11-11 13:29:56 main:574] : INFO : Epoch 6 | loss: 0.0116716 | val_loss: 0.0113277 | Time: 6138.41 ms [2020-11-11 13:30:02 main:574] : INFO : Epoch 7 | loss: 0.0107466 | val_loss: 0.0104822 | Time: 6118.56 ms [2020-11-11 13:30:08 main:574] : INFO : Epoch 8 | loss: 0.010225 | val_loss: 0.0106537 | Time: 6126.28 ms [2020-11-11 13:30:15 main:574] : INFO : Epoch 9 | loss: 0.0101336 | val_loss: 0.011095 | Time: 6147.89 ms [2020-11-11 13:30:21 main:574] : INFO : Epoch 10 | loss: 0.00949888 | val_loss: 0.00938173 | Time: 6011.42 ms [2020-11-11 13:30:27 main:574] : INFO : Epoch 11 | loss: 0.00896239 | val_loss: 0.00883292 | Time: 6261.82 ms [2020-11-11 13:30:33 main:574] : INFO : Epoch 12 | loss: 0.0085818 | val_loss: 0.00869707 | Time: 6024.21 ms [2020-11-11 13:30:39 main:574] : INFO : Epoch 13 | loss: 0.0112641 | val_loss: 0.0102545 | Time: 6226.98 ms [2020-11-11 13:30:46 main:574] : INFO : Epoch 14 | loss: 0.00875445 | val_loss: 0.00830052 | Time: 6016.21 ms [2020-11-11 13:30:51 main:574] : INFO : Epoch 15 | loss: 0.00782555 | val_loss: 0.00804181 | Time: 5924.49 ms [2020-11-11 13:30:58 main:574] : INFO : Epoch 16 | loss: 0.00765576 | val_loss: 0.00765196 | Time: 6076.25 ms [2020-11-11 13:31:04 main:574] : INFO : Epoch 17 | loss: 0.00723977 | val_loss: 0.00724219 | Time: 6055.92 ms [2020-11-11 13:31:10 main:574] : INFO : Epoch 18 | loss: 0.00701131 | val_loss: 0.00702976 | Time: 6177.44 ms [2020-11-11 13:31:16 main:574] : INFO : Epoch 19 | loss: 0.00680726 | val_loss: 0.0067958 | Time: 6199.52 ms [2020-11-11 13:31:22 main:574] : INFO : Epoch 20 | loss: 0.00663901 | val_loss: 0.006635 | Time: 5991.22 ms [2020-11-11 13:31:28 main:574] : INFO : Epoch 21 | loss: 0.00651778 | val_loss: 0.00646938 | Time: 6147.18 ms [2020-11-11 13:31:35 main:574] : INFO : Epoch 22 | loss: 0.00643926 | val_loss: 0.00633683 | Time: 6211.4 ms [2020-11-11 13:31:41 main:574] : INFO : Epoch 23 | loss: 0.00622215 | val_loss: 0.00658779 | Time: 6294.64 ms [2020-11-11 13:31:47 main:574] : INFO : Epoch 24 | loss: 0.0061793 | val_loss: 0.00606821 | Time: 6045.09 ms [2020-11-11 13:31:53 main:574] : INFO : Epoch 25 | loss: 0.00595405 | val_loss: 0.00592786 | Time: 6031.54 ms [2020-11-11 13:31:59 main:574] : INFO : Epoch 26 | loss: 0.00580929 | val_loss: 0.00580777 | Time: 6047.02 ms [2020-11-11 13:32:05 main:574] : INFO : Epoch 27 | loss: 0.00576169 | val_loss: 0.00572949 | Time: 6092.98 ms [2020-11-11 13:32:11 main:574] : INFO : Epoch 28 | loss: 0.00560963 | val_loss: 0.0056112 | Time: 5989.76 ms [2020-11-11 13:32:18 main:574] : INFO : Epoch 29 | loss: 0.00549328 | val_loss: 0.00547522 | Time: 6070.46 ms [2020-11-11 13:32:24 main:574] : INFO : Epoch 30 | loss: 0.00536077 | val_loss: 0.00535547 | Time: 6094.84 ms [2020-11-11 13:32:30 main:574] : INFO : Epoch 31 | loss: 0.00524437 | val_loss: 0.00524321 | Time: 6070.81 ms [2020-11-11 13:32:36 main:574] : INFO : Epoch 32 | loss: 0.00512962 | val_loss: 0.0051327 | Time: 6117.01 ms [2020-11-11 13:32:42 main:574] : INFO : Epoch 33 | loss: 0.00501884 | val_loss: 0.00502381 | Time: 6057.74 ms [2020-11-11 13:32:48 main:574] : INFO : Epoch 34 | loss: 0.00491252 | val_loss: 0.00492255 | Time: 5987.72 ms [2020-11-11 13:32:54 main:574] : INFO : Epoch 35 | loss: 0.00481022 | val_loss: 0.0048025 | Time: 6087.54 ms [2020-11-11 13:33:00 main:574] : INFO : Epoch 36 | loss: 0.00471425 | val_loss: 0.00471324 | Time: 6052.13 ms [2020-11-11 13:33:07 main:574] : INFO : Epoch 37 | loss: 0.00460728 | val_loss: 0.00458824 | Time: 6119.69 ms [2020-11-11 13:33:13 main:574] : INFO : Epoch 38 | loss: 0.00448429 | val_loss: 0.00448215 | Time: 5989.1 ms [2020-11-11 13:33:19 main:574] : INFO : Epoch 39 | loss: 0.00437642 | val_loss: 0.00437509 | Time: 6100.25 ms [2020-11-11 13:33:25 main:574] : INFO : Epoch 40 | loss: 0.00427156 | val_loss: 0.00426586 | Time: 6049.12 ms [2020-11-11 13:33:31 main:574] : INFO : Epoch 41 | loss: 0.00416283 | val_loss: 0.00415659 | Time: 6144.48 ms [2020-11-11 13:33:37 main:574] : INFO : Epoch 42 | loss: 0.00408987 | val_loss: 0.00409434 | Time: 6010.37 ms [2020-11-11 13:33:43 main:574] : INFO : Epoch 43 | loss: 0.00395789 | val_loss: 0.00395466 | Time: 6010.8 ms [2020-11-11 13:33:49 main:574] : INFO : Epoch 44 | loss: 0.0038451 | val_loss: 0.00384555 | Time: 6121.96 ms [2020-11-11 13:33:55 main:574] : INFO : Epoch 45 | loss: 0.00373911 | val_loss: 0.00374199 | Time: 6015.05 ms [2020-11-11 13:34:02 main:574] : INFO : Epoch 46 | loss: 0.0036349 | val_loss: 0.00363331 | Time: 6034.94 ms [2020-11-11 13:34:08 main:574] : INFO : Epoch 47 | loss: 0.00353107 | val_loss: 0.00353067 | Time: 6097.9 ms [2020-11-11 13:34:14 main:574] : INFO : Epoch 48 | loss: 0.00342855 | val_loss: 0.0034269 | Time: 6084.76 ms [2020-11-11 13:34:20 main:574] : INFO : Epoch 49 | loss: 0.00332406 | val_loss: 0.00332217 | Time: 5946.89 ms [2020-11-11 13:34:26 main:574] : INFO : Epoch 50 | loss: 0.00322263 | val_loss: 0.00322604 | Time: 6186.02 ms [2020-11-11 13:34:32 main:574] : INFO : Epoch 51 | loss: 0.00312217 | val_loss: 0.00312627 | Time: 6089.13 ms [2020-11-11 13:34:38 main:574] : INFO : Epoch 52 | loss: 0.0030214 | val_loss: 0.00302362 | Time: 6029.83 ms [2020-11-11 13:34:44 main:574] : INFO : Epoch 53 | loss: 0.00292349 | val_loss: 0.00292539 | Time: 6179.73 ms [2020-11-11 13:34:50 main:574] : INFO : Epoch 54 | loss: 0.00282632 | val_loss: 0.00283442 | Time: 5849 ms [2020-11-11 13:34:57 main:574] : INFO : Epoch 55 | loss: 0.00273156 | val_loss: 0.00273441 | Time: 6542.8 ms [2020-11-11 13:35:03 main:574] : INFO : Epoch 56 | loss: 0.00263842 | val_loss: 0.00264288 | Time: 6136.22 ms [2020-11-11 13:35:09 main:574] : INFO : Epoch 57 | loss: 0.00254622 | val_loss: 0.00255216 | Time: 5872.2 ms [2020-11-11 13:35:15 main:574] : INFO : Epoch 58 | loss: 0.00245613 | val_loss: 0.00246253 | Time: 6030.7 ms [2020-11-11 13:35:21 main:574] : INFO : Epoch 59 | loss: 0.00236745 | val_loss: 0.00237859 | Time: 6048.45 ms [2020-11-11 13:35:27 main:574] : INFO : Epoch 60 | loss: 0.00228099 | val_loss: 0.00229375 | Time: 6010.57 ms [2020-11-11 13:35:34 main:574] : INFO : Epoch 61 | loss: 0.00219653 | val_loss: 0.00220692 | Time: 6202.16 ms [2020-11-11 13:35:40 main:574] : INFO : Epoch 62 | loss: 0.00211298 | val_loss: 0.00212514 | Time: 6074.59 ms [2020-11-11 13:35:46 main:574] : INFO : Epoch 63 | loss: 0.00203186 | val_loss: 0.00204645 | Time: 6035.07 ms [2020-11-11 13:35:52 main:574] : INFO : Epoch 64 | loss: 0.00195216 | val_loss: 0.0019652 | Time: 6123.2 ms [2020-11-11 13:35:58 main:574] : INFO : Epoch 65 | loss: 0.00187473 | val_loss: 0.00188227 | Time: 5976.82 ms [2020-11-11 13:36:04 main:574] : INFO : Epoch 66 | loss: 0.00179956 | val_loss: 0.00180594 | Time: 6238.62 ms [2020-11-11 13:36:10 main:574] : INFO : Epoch 67 | loss: 0.00172577 | val_loss: 0.00173167 | Time: 6141.6 ms [2020-11-11 13:36:16 main:574] : INFO : Epoch 68 | loss: 0.00165284 | val_loss: 0.00165326 | Time: 5884.92 ms [2020-11-11 13:36:23 main:574] : INFO : Epoch 69 | loss: 0.00158222 | val_loss: 0.00158448 | Time: 6152.33 ms [2020-11-11 13:36:29 main:574] : INFO : Epoch 70 | loss: 0.00151297 | val_loss: 0.00149545 | Time: 6051.92 ms [2020-11-11 13:36:35 main:574] : INFO : Epoch 71 | loss: 0.00144492 | val_loss: 0.00143124 | Time: 6023.56 ms [2020-11-11 13:36:41 main:574] : INFO : Epoch 72 | loss: 0.00137858 | val_loss: 0.00136135 | Time: 6125.14 ms [2020-11-11 13:36:47 main:574] : INFO : Epoch 73 | loss: 0.00131368 | val_loss: 0.00129778 | Time: 6066.08 ms [2020-11-11 13:36:53 main:574] : INFO : Epoch 74 | loss: 0.00125103 | val_loss: 0.00123582 | Time: 6094.18 ms [2020-11-11 13:36:59 main:574] : INFO : Epoch 75 | loss: 0.00118971 | val_loss: 0.00117338 | Time: 6060.62 ms [2020-11-11 13:37:05 main:574] : INFO : Epoch 76 | loss: 0.00112961 | val_loss: 0.00111339 | Time: 6032.78 ms [2020-11-11 13:37:12 main:574] : INFO : Epoch 77 | loss: 0.00107336 | val_loss: 0.00105734 | Time: 6131.87 ms [2020-11-11 13:37:18 main:574] : INFO : Epoch 78 | loss: 0.00101915 | val_loss: 0.00100121 | Time: 5936.86 ms [2020-11-11 13:37:24 main:574] : INFO : Epoch 79 | loss: 0.000966694 | val_loss: 0.00095317 | Time: 6090.06 ms [2020-11-11 13:37:30 main:574] : INFO : Epoch 80 | loss: 0.000916948 | val_loss: 0.000901113 | Time: 6111.25 ms [2020-11-11 13:37:36 main:574] : INFO : Epoch 81 | loss: 0.000869385 | val_loss: 0.000853998 | Time: 6202.99 ms [2020-11-11 13:37:42 main:574] : INFO : Epoch 82 | loss: 0.000823764 | val_loss: 0.00080968 | Time: 6085.84 ms [2020-11-11 13:37:48 main:574] : INFO : Epoch 83 | loss: 0.00077973 | val_loss: 0.000765111 | Time: 6065.26 ms [2020-11-11 13:37:55 main:574] : INFO : Epoch 84 | loss: 0.000738458 | val_loss: 0.000725551 | Time: 6081.78 ms [2020-11-11 13:38:01 main:574] : INFO : Epoch 85 | loss: 0.000699629 | val_loss: 0.00069063 | Time: 5993.53 ms [2020-11-11 13:38:07 main:574] : INFO : Epoch 86 | loss: 0.000662387 | val_loss: 0.000651312 | Time: 6049.1 ms [2020-11-11 13:38:13 main:574] : INFO : Epoch 87 | loss: 0.000628029 | val_loss: 0.000617939 | Time: 5981.94 ms [2020-11-11 13:38:19 main:574] : INFO : Epoch 88 | loss: 0.000595124 | val_loss: 0.000584582 | Time: 6047.8 ms [2020-11-11 13:38:25 main:574] : INFO : Epoch 89 | loss: 0.000563213 | val_loss: 0.00055512 | Time: 5999.08 ms [2020-11-11 13:38:31 main:574] : INFO : Epoch 90 | loss: 0.000533611 | val_loss: 0.000525943 | Time: 6014.76 ms [2020-11-11 13:38:37 main:574] : INFO : Epoch 91 | loss: 0.000506024 | val_loss: 0.000499188 | Time: 6070.05 ms [2020-11-11 13:38:43 main:574] : INFO : Epoch 92 | loss: 0.000478796 | val_loss: 0.000472084 | Time: 5939.23 ms [2020-11-11 13:38:49 main:574] : INFO : Epoch 93 | loss: 0.000453268 | val_loss: 0.000447741 | Time: 6150.09 ms [2020-11-11 13:38:56 main:574] : INFO : Epoch 94 | loss: 0.000430292 | val_loss: 0.000424489 | Time: 6169.79 ms [2020-11-11 13:39:02 main:574] : INFO : Epoch 95 | loss: 0.000407991 | val_loss: 0.000404153 | Time: 5999.88 ms [2020-11-11 13:39:08 main:574] : INFO : Epoch 96 | loss: 0.0003874 | val_loss: 0.000384116 | Time: 6103.16 ms [2020-11-11 13:39:14 main:574] : INFO : Epoch 97 | loss: 0.000367686 | val_loss: 0.000363317 | Time: 6056.08 ms [2020-11-11 13:39:20 main:574] : INFO : Epoch 98 | loss: 0.000349294 | val_loss: 0.000344728 | Time: 6026.57 ms [2020-11-11 13:39:26 main:574] : INFO : Epoch 99 | loss: 0.000332384 | val_loss: 0.00032751 | Time: 6107.94 ms [2020-11-11 13:39:32 main:574] : INFO : Epoch 100 | loss: 0.000316205 | val_loss: 0.000314192 | Time: 6226.34 ms [2020-11-11 13:39:39 main:574] : INFO : Epoch 101 | loss: 0.000300608 | val_loss: 0.000295423 | Time: 6214.43 ms [2020-11-11 13:39:45 main:574] : INFO : Epoch 102 | loss: 0.000286147 | val_loss: 0.000283145 | Time: 5961.85 ms [2020-11-11 13:39:51 main:574] : INFO : Epoch 103 | loss: 0.000273056 | val_loss: 0.000269572 | Time: 6175.63 ms [2020-11-11 13:39:57 main:574] : INFO : Epoch 104 | loss: 0.00026054 | val_loss: 0.000258396 | Time: 6019.64 ms [2020-11-11 13:40:03 main:574] : INFO : Epoch 105 | loss: 0.000248238 | val_loss: 0.000244266 | Time: 6094.55 ms [2020-11-11 13:40:09 main:574] : INFO : Epoch 106 | loss: 0.00023706 | val_loss: 0.000233162 | Time: 6084.15 ms [2020-11-11 13:40:15 main:574] : INFO : Epoch 107 | loss: 0.000226499 | val_loss: 0.000223282 | Time: 6176.53 ms [2020-11-11 13:40:22 main:574] : INFO : Epoch 108 | loss: 0.000216382 | val_loss: 0.000213523 | Time: 6129.62 ms [2020-11-11 13:40:28 main:574] : INFO : Epoch 109 | loss: 0.000206701 | val_loss: 0.000203996 | Time: 6148.77 ms [2020-11-11 13:40:34 main:574] : INFO : Epoch 110 | loss: 0.000197887 | val_loss: 0.000197507 | Time: 5942.12 ms [2020-11-11 13:40:40 main:574] : INFO : Epoch 111 | loss: 0.000189777 | val_loss: 0.000188137 | Time: 6067.19 ms [2020-11-11 13:40:46 main:574] : INFO : Epoch 112 | loss: 0.000181861 | val_loss: 0.000180053 | Time: 6048.72 ms [2020-11-11 13:40:52 main:574] : INFO : Epoch 113 | loss: 0.000174249 | val_loss: 0.000172945 | Time: 6139.94 ms [2020-11-11 13:40:58 main:574] : INFO : Epoch 114 | loss: 0.000167171 | val_loss: 0.000165121 | Time: 6049.13 ms [2020-11-11 13:41:04 main:574] : INFO : Epoch 115 | loss: 0.000160748 | val_loss: 0.000158074 | Time: 6001.52 ms [2020-11-11 13:41:10 main:574] : INFO : Epoch 116 | loss: 0.000154087 | val_loss: 0.000151609 | Time: 6006.28 ms [2020-11-11 13:41:17 main:574] : INFO : Epoch 117 | loss: 0.000148338 | val_loss: 0.000147563 | Time: 6022.39 ms [2020-11-11 13:41:23 main:574] : INFO : Epoch 118 | loss: 0.00014241 | val_loss: 0.000139717 | Time: 6079.04 ms [2020-11-11 13:41:29 main:574] : INFO : Epoch 119 | loss: 0.000136989 | val_loss: 0.000136499 | Time: 6177.32 ms [2020-11-11 13:41:35 main:574] : INFO : Epoch 120 | loss: 0.00013187 | val_loss: 0.000129458 | Time: 6095.3 ms [2020-11-11 13:41:41 main:574] : INFO : Epoch 121 | loss: 0.000127353 | val_loss: 0.000126182 | Time: 6134.44 ms [2020-11-11 13:41:47 main:574] : INFO : Epoch 122 | loss: 0.000123283 | val_loss: 0.00012175 | Time: 6097.01 ms [2020-11-11 13:41:53 main:574] : INFO : Epoch 123 | loss: 0.000118161 | val_loss: 0.000116324 | Time: 5913.57 ms [2020-11-11 13:41:59 main:574] : INFO : Epoch 124 | loss: 0.000113841 | val_loss: 0.000113098 | Time: 6077.75 ms [2020-11-11 13:42:05 main:574] : INFO : Epoch 125 | loss: 0.000110347 | val_loss: 0.000109173 | Time: 5963.15 ms [2020-11-11 13:42:11 main:574] : INFO : Epoch 126 | loss: 0.000107249 | val_loss: 0.000108172 | Time: 5974.75 ms [2020-11-11 13:42:18 main:574] : INFO : Epoch 127 | loss: 0.000103117 | val_loss: 0.000101275 | Time: 6147.45 ms [2020-11-11 13:42:24 main:574] : INFO : Epoch 128 | loss: 0.0001002 | val_loss: 9.87966e-05 | Time: 6169.62 ms [2020-11-11 13:42:30 main:574] : INFO : Epoch 129 | loss: 9.6693e-05 | val_loss: 9.5644e-05 | Time: 6154.12 ms [2020-11-11 13:42:36 main:574] : INFO : Epoch 130 | loss: 9.41808e-05 | val_loss: 9.31993e-05 | Time: 6254.5 ms [2020-11-11 13:42:43 main:574] : INFO : Epoch 131 | loss: 9.09392e-05 | val_loss: 9.0193e-05 | Time: 6153.13 ms [2020-11-11 13:42:49 main:574] : INFO : Epoch 132 | loss: 8.82256e-05 | val_loss: 8.99928e-05 | Time: 6211.15 ms [2020-11-11 13:42:55 main:574] : INFO : Epoch 133 | loss: 8.66447e-05 | val_loss: 8.50697e-05 | Time: 6246.56 ms [2020-11-11 13:43:01 main:574] : INFO : Epoch 134 | loss: 8.3882e-05 | val_loss: 8.17073e-05 | Time: 6160.52 ms [2020-11-11 13:43:08 main:574] : INFO : Epoch 135 | loss: 8.07397e-05 | val_loss: 8.06899e-05 | Time: 6187.11 ms [2020-11-11 13:43:14 main:574] : INFO : Epoch 136 | loss: 7.8617e-05 | val_loss: 7.75577e-05 | Time: 5892.03 ms [2020-11-11 13:43:20 main:574] : INFO : Epoch 137 | loss: 7.67537e-05 | val_loss: 7.55968e-05 | Time: 6062.09 ms [2020-11-11 13:43:26 main:574] : INFO : Epoch 138 | loss: 7.46791e-05 | val_loss: 7.40698e-05 | Time: 6096.64 ms [2020-11-11 13:43:32 main:574] : INFO : Epoch 139 | loss: 7.2884e-05 | val_loss: 7.37915e-05 | Time: 6113.87 ms [2020-11-11 13:43:38 main:574] : INFO : Epoch 140 | loss: 7.07878e-05 | val_loss: 7.21206e-05 | Time: 6256.59 ms [2020-11-11 13:43:44 main:574] : INFO : Epoch 141 | loss: 6.92428e-05 | val_loss: 6.93077e-05 | Time: 5979.81 ms [2020-11-11 13:43:50 main:574] : INFO : Epoch 142 | loss: 6.75286e-05 | val_loss: 6.74127e-05 | Time: 6057.54 ms [2020-11-11 13:43:57 main:574] : INFO : Epoch 143 | loss: 6.60826e-05 | val_loss: 6.61545e-05 | Time: 6065.51 ms [2020-11-11 13:44:03 main:574] : INFO : Epoch 144 | loss: 6.43592e-05 | val_loss: 6.73466e-05 | Time: 6014.57 ms [2020-11-11 13:44:09 main:574] : INFO : Epoch 145 | loss: 6.30025e-05 | val_loss: 6.28296e-05 | Time: 6194.41 ms [2020-11-11 13:44:15 main:574] : INFO : Epoch 146 | loss: 6.1111e-05 | val_loss: 6.28595e-05 | Time: 6039.05 ms [2020-11-11 13:44:21 main:574] : INFO : Epoch 147 | loss: 6.02676e-05 | val_loss: 5.93441e-05 | Time: 6177.83 ms [2020-11-11 13:44:27 main:574] : INFO : Epoch 148 | loss: 5.87829e-05 | val_loss: 6.22456e-05 | Time: 6045.06 ms [2020-11-11 13:44:33 main:574] : INFO : Epoch 149 | loss: 5.75228e-05 | val_loss: 5.68798e-05 | Time: 6133.23 ms [2020-11-11 13:44:40 main:574] : INFO : Epoch 150 | loss: 5.59983e-05 | val_loss: 5.55066e-05 | Time: 6129.78 ms [2020-11-11 13:44:46 main:574] : INFO : Epoch 151 | loss: 5.51308e-05 | val_loss: 5.5345e-05 | Time: 6082.03 ms [2020-11-11 13:44:52 main:574] : INFO : Epoch 152 | loss: 5.38124e-05 | val_loss: 5.3879e-05 | Time: 6434.11 ms [2020-11-11 13:44:59 main:574] : INFO : Epoch 153 | loss: 5.25963e-05 | val_loss: 5.28852e-05 | Time: 6559.49 ms [2020-11-11 13:45:05 main:574] : INFO : Epoch 154 | loss: 5.1964e-05 | val_loss: 5.27306e-05 | Time: 6558.98 ms [2020-11-11 13:45:12 main:574] : INFO : Epoch 155 | loss: 5.07792e-05 | val_loss: 5.00442e-05 | Time: 6241.51 ms [2020-11-11 13:45:18 main:574] : INFO : Epoch 156 | loss: 4.99052e-05 | val_loss: 4.94604e-05 | Time: 6337.07 ms [2020-11-11 13:45:25 main:574] : INFO : Epoch 157 | loss: 4.84674e-05 | val_loss: 5.01683e-05 | Time: 6307.85 ms [2020-11-11 13:45:31 main:574] : INFO : Epoch 158 | loss: 4.77944e-05 | val_loss: 4.71563e-05 | Time: 6088.03 ms [2020-11-11 13:45:37 main:574] : INFO : Epoch 159 | loss: 4.68035e-05 | val_loss: 4.68661e-05 | Time: 6208.44 ms [2020-11-11 13:45:43 main:574] : INFO : Epoch 160 | loss: 4.61969e-05 | val_loss: 4.54738e-05 | Time: 6216.49 ms [2020-11-11 13:45:49 main:574] : INFO : Epoch 161 | loss: 4.56252e-05 | val_loss: 4.70134e-05 | Time: 6126.17 ms [2020-11-11 13:45:55 main:574] : INFO : Epoch 162 | loss: 4.43037e-05 | val_loss: 4.38099e-05 | Time: 6034.93 ms [2020-11-11 13:46:02 main:574] : INFO : Epoch 163 | loss: 4.3502e-05 | val_loss: 4.39021e-05 | Time: 6045.36 ms [2020-11-11 13:46:08 main:574] : INFO : Epoch 164 | loss: 4.30961e-05 | val_loss: 4.31845e-05 | Time: 6045.4 ms [2020-11-11 13:46:14 main:574] : INFO : Epoch 165 | loss: 4.21809e-05 | val_loss: 4.23285e-05 | Time: 6447 ms [2020-11-11 13:46:20 main:574] : INFO : Epoch 166 | loss: 4.12652e-05 | val_loss: 4.19825e-05 | Time: 6084.48 ms [2020-11-11 13:46:26 main:574] : INFO : Epoch 167 | loss: 4.13608e-05 | val_loss: 4.06384e-05 | Time: 6042.49 ms [2020-11-11 13:46:33 main:574] : INFO : Epoch 168 | loss: 4.00905e-05 | val_loss: 4.05331e-05 | Time: 6100.45 ms [2020-11-11 13:46:39 main:574] : INFO : Epoch 169 | loss: 3.92707e-05 | val_loss: 3.89504e-05 | Time: 6014.33 ms [2020-11-11 13:46:45 main:574] : INFO : Epoch 170 | loss: 3.89428e-05 | val_loss: 3.85072e-05 | Time: 6221.77 ms [2020-11-11 13:46:51 main:574] : INFO : Epoch 171 | loss: 3.85562e-05 | val_loss: 3.78939e-05 | Time: 6030.22 ms [2020-11-11 13:46:57 main:574] : INFO : Epoch 172 | loss: 3.75738e-05 | val_loss: 3.79869e-05 | Time: 6110.7 ms [2020-11-11 13:47:03 main:574] : INFO : Epoch 173 | loss: 3.71801e-05 | val_loss: 3.7138e-05 | Time: 6242.61 ms [2020-11-11 13:47:10 main:574] : INFO : Epoch 174 | loss: 3.64716e-05 | val_loss: 3.62068e-05 | Time: 6118.77 ms [2020-11-11 13:47:16 main:574] : INFO : Epoch 175 | loss: 3.60092e-05 | val_loss: 3.68683e-05 | Time: 6153.23 ms [2020-11-11 13:47:22 main:574] : INFO : Epoch 176 | loss: 3.55043e-05 | val_loss: 3.50317e-05 | Time: 6071.48 ms [2020-11-11 13:47:28 main:574] : INFO : Epoch 177 | loss: 3.52893e-05 | val_loss: 3.52884e-05 | Time: 6166.23 ms [2020-11-11 13:47:34 main:574] : INFO : Epoch 178 | loss: 3.42322e-05 | val_loss: 3.61839e-05 | Time: 6201.3 ms [2020-11-11 13:47:41 main:574] : INFO : Epoch 179 | loss: 3.39879e-05 | val_loss: 3.43754e-05 | Time: 6222.12 ms [2020-11-11 13:47:47 main:574] : INFO : Epoch 180 | loss: 3.3524e-05 | val_loss: 3.3657e-05 | Time: 6166.13 ms [2020-11-11 13:47:53 main:574] : INFO : Epoch 181 | loss: 3.30526e-05 | val_loss: 3.45911e-05 | Time: 6074.47 ms [2020-11-11 13:47:59 main:574] : INFO : Epoch 182 | loss: 3.27247e-05 | val_loss: 3.28775e-05 | Time: 6011.23 ms [2020-11-11 13:48:05 main:574] : INFO : Epoch 183 | loss: 3.22974e-05 | val_loss: 3.22916e-05 | Time: 6132.62 ms [2020-11-11 13:48:11 main:574] : INFO : Epoch 184 | loss: 3.18355e-05 | val_loss: 3.22871e-05 | Time: 6197.49 ms [2020-11-11 13:48:18 main:574] : INFO : Epoch 185 | loss: 3.11788e-05 | val_loss: 3.11656e-05 | Time: 6259.93 ms [2020-11-11 13:48:24 main:574] : INFO : Epoch 186 | loss: 3.10694e-05 | val_loss: 3.1208e-05 | Time: 6100.18 ms [2020-11-11 13:48:30 main:574] : INFO : Epoch 187 | loss: 3.05619e-05 | val_loss: 3.02889e-05 | Time: 6333.76 ms [2020-11-11 13:48:37 main:574] : INFO : Epoch 188 | loss: 2.99292e-05 | val_loss: 3.05608e-05 | Time: 6296.22 ms [2020-11-11 13:48:43 main:574] : INFO : Epoch 189 | loss: 3.01584e-05 | val_loss: 2.92531e-05 | Time: 6236.35 ms [2020-11-11 13:48:49 main:574] : INFO : Epoch 190 | loss: 2.91245e-05 | val_loss: 2.9012e-05 | Time: 6086.57 ms [2020-11-11 13:48:55 main:574] : INFO : Epoch 191 | loss: 2.93821e-05 | val_loss: 3.17899e-05 | Time: 6078.69 ms [2020-11-11 13:49:01 main:574] : INFO : Epoch 192 | loss: 2.85549e-05 | val_loss: 2.89811e-05 | Time: 6165.61 ms [2020-11-11 13:49:01 main:597] : INFO : Saving trained model to model-final.pt, val_loss 2.89811e-05 [2020-11-11 13:49:02 main:603] : INFO : Saving end state to config to file [2020-11-11 13:49:02 main:608] : INFO : Success, exiting.. 13:49:02 (1364): 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)