| Name | rand_automata_0001-1604946842-2937-0_3 |
| Workunit | 1258808 |
| 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, 18:17:40 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 36 sec |
| Validate state | Valid |
| Credit | 959.40 |
| Device peak FLOPS | 1,475.31 GFLOPS |
| Application version | Machine Learning Dataset Generator (test) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 1.41 GB |
| Peak swap size | 3.00 GB |
| Peak disk usage | 1.53 GB |
<core_client_version>7.16.11</core_client_version> <![CDATA[ <stderr_txt> Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: GeForce GTX 750 Ti) [2020-11-10 18:57:27 main:435] : INFO : Set logging level to 1 [2020-11-10 18:57:27 main:441] : INFO : Running in BOINC Client mode [2020-11-10 18:57:27 main:444] : INFO : Resolving all filenames [2020-11-10 18:57:27 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0001-train-val-dataset.hdf5 (exists = 1) [2020-11-10 18:57:27 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0001-1604946842-2937-0_3_r853467570_1 (exists = 0) [2020-11-10 18:57:27 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0001-1604946842-2937-0_3_r853467570_0 (exists = 0) [2020-11-10 18:57:27 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-10 18:57:27 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-10 18:57:27 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0001-train-val-dataset.hdf5 [2020-11-10 18:57:28 main:474] : INFO : Configuration: [2020-11-10 18:57:28 main:475] : INFO : Model type: LSTM [2020-11-10 18:57:28 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-10 18:57:28 main:477] : INFO : Max Epochs: 192 [2020-11-10 18:57:28 main:478] : INFO : Batch Size: 32 [2020-11-10 18:57:28 main:479] : INFO : Learning Rate: 0.001 [2020-11-10 18:57:28 main:480] : INFO : Patience: 10 [2020-11-10 18:57:28 main:481] : INFO : Hidden Width: 64 [2020-11-10 18:57:28 main:482] : INFO : # Recurrent Layers: 4 [2020-11-10 18:57:28 main:483] : INFO : # Backend Layers: 2 [2020-11-10 18:57:28 main:484] : INFO : # Threads: 1 [2020-11-10 18:57:28 main:486] : INFO : Preparing Dataset [2020-11-10 18:57:28 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0001-train-val-dataset.hdf5 into memory [2020-11-10 18:57:28 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0001-train-val-dataset.hdf5 into memory [2020-11-10 18:57:31 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-10 18:57:31 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0001-train-val-dataset.hdf5 into memory [2020-11-10 18:57:31 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0001-train-val-dataset.hdf5 into memory [2020-11-10 18:57:31 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-10 18:57:31 main:494] : INFO : Creating Model [2020-11-10 18:57:31 main:507] : INFO : Preparing config file [2020-11-10 18:57:31 main:519] : INFO : Creating new config file [2020-11-10 18:57:32 main:559] : INFO : Loading DataLoader into Memory [2020-11-10 18:57:32 main:562] : INFO : Starting Training [2020-11-10 18:57:39 main:574] : INFO : Epoch 1 | loss: 0.0662563 | val_loss: 0.065944 | Time: 6742.15 ms [2020-11-10 18:57:46 main:574] : INFO : Epoch 2 | loss: 0.0652027 | val_loss: 0.063556 | Time: 6476.11 ms [2020-11-10 18:57:52 main:574] : INFO : Epoch 3 | loss: 0.0612947 | val_loss: 0.0594953 | Time: 6312.56 ms [2020-11-10 18:57:59 main:574] : INFO : Epoch 4 | loss: 0.058123 | val_loss: 0.0569088 | Time: 6383.31 ms [2020-11-10 18:58:05 main:574] : INFO : Epoch 5 | loss: 0.0560612 | val_loss: 0.0551134 | Time: 6170.46 ms [2020-11-10 18:58:11 main:574] : INFO : Epoch 6 | loss: 0.0545132 | val_loss: 0.0539101 | Time: 6344.12 ms [2020-11-10 18:58:18 main:574] : INFO : Epoch 7 | loss: 0.0531695 | val_loss: 0.0525223 | Time: 6366.77 ms [2020-11-10 18:58:24 main:574] : INFO : Epoch 8 | loss: 0.0519562 | val_loss: 0.0513368 | Time: 6141.12 ms [2020-11-10 18:58:30 main:574] : INFO : Epoch 9 | loss: 0.0507192 | val_loss: 0.0502343 | Time: 6256.73 ms [2020-11-10 18:58:36 main:574] : INFO : Epoch 10 | loss: 0.0493726 | val_loss: 0.0489176 | Time: 6178.5 ms [2020-11-10 18:58:43 main:574] : INFO : Epoch 11 | loss: 0.0478386 | val_loss: 0.0471651 | Time: 6280.87 ms [2020-11-10 18:58:49 main:574] : INFO : Epoch 12 | loss: 0.0460996 | val_loss: 0.0454632 | Time: 6095.35 ms [2020-11-10 18:58:55 main:574] : INFO : Epoch 13 | loss: 0.0440874 | val_loss: 0.0437057 | Time: 6142.04 ms [2020-11-10 18:59:01 main:574] : INFO : Epoch 14 | loss: 0.0420177 | val_loss: 0.0414429 | Time: 6171.59 ms [2020-11-10 18:59:07 main:574] : INFO : Epoch 15 | loss: 0.0393686 | val_loss: 0.0382729 | Time: 6121.29 ms [2020-11-10 18:59:14 main:574] : INFO : Epoch 16 | loss: 0.03658 | val_loss: 0.0357258 | Time: 6314.09 ms [2020-11-10 18:59:20 main:574] : INFO : Epoch 17 | loss: 0.0337577 | val_loss: 0.0330201 | Time: 6257.93 ms [2020-11-10 18:59:27 main:574] : INFO : Epoch 18 | loss: 0.0310517 | val_loss: 0.0322584 | Time: 6457.17 ms [2020-11-10 18:59:33 main:574] : INFO : Epoch 19 | loss: 0.0289127 | val_loss: 0.0294137 | Time: 6017.74 ms [2020-11-10 18:59:39 main:574] : INFO : Epoch 20 | loss: 0.0282809 | val_loss: 0.0246939 | Time: 6261.02 ms [2020-11-10 18:59:45 main:574] : INFO : Epoch 21 | loss: 0.0246068 | val_loss: 0.0232003 | Time: 6120.99 ms [2020-11-10 18:59:51 main:574] : INFO : Epoch 22 | loss: 0.0271223 | val_loss: 0.023347 | Time: 6260.04 ms [2020-11-10 18:59:58 main:574] : INFO : Epoch 23 | loss: 0.0214789 | val_loss: 0.0225132 | Time: 6126.32 ms [2020-11-10 19:00:04 main:574] : INFO : Epoch 24 | loss: 0.0206921 | val_loss: 0.0198713 | Time: 6091.76 ms [2020-11-10 19:00:10 main:574] : INFO : Epoch 25 | loss: 0.017557 | val_loss: 0.0152985 | Time: 6164.41 ms [2020-11-10 19:00:16 main:574] : INFO : Epoch 26 | loss: 0.0259009 | val_loss: 0.0351365 | Time: 6122.3 ms [2020-11-10 19:00:22 main:574] : INFO : Epoch 27 | loss: 0.0406012 | val_loss: 0.0513206 | Time: 5984.88 ms [2020-11-10 19:00:28 main:574] : INFO : Epoch 28 | loss: 0.039108 | val_loss: 0.0245818 | Time: 6164.72 ms [2020-11-10 19:00:34 main:574] : INFO : Epoch 29 | loss: 0.021057 | val_loss: 0.0170136 | Time: 6062.27 ms [2020-11-10 19:00:41 main:574] : INFO : Epoch 30 | loss: 0.0316858 | val_loss: 0.058453 | Time: 6068.17 ms [2020-11-10 19:00:47 main:574] : INFO : Epoch 31 | loss: 0.0542546 | val_loss: 0.0495845 | Time: 6059.27 ms [2020-11-10 19:00:53 main:574] : INFO : Epoch 32 | loss: 0.0402756 | val_loss: 0.0274685 | Time: 6115.03 ms [2020-11-10 19:00:59 main:574] : INFO : Epoch 33 | loss: 0.028704 | val_loss: 0.0206407 | Time: 6154.08 ms [2020-11-10 19:01:05 main:574] : INFO : Epoch 34 | loss: 0.0203148 | val_loss: 0.0140066 | Time: 6199.55 ms [2020-11-10 19:01:12 main:574] : INFO : Epoch 35 | loss: 0.0123837 | val_loss: 0.012188 | Time: 6304.1 ms [2020-11-10 19:01:18 main:574] : INFO : Epoch 36 | loss: 0.0117274 | val_loss: 0.0126706 | Time: 5992.4 ms [2020-11-10 19:01:24 main:574] : INFO : Epoch 37 | loss: 0.011575 | val_loss: 0.0197355 | Time: 6133.73 ms [2020-11-10 19:01:30 main:574] : INFO : Epoch 38 | loss: 0.016855 | val_loss: 0.0104706 | Time: 6033.48 ms [2020-11-10 19:01:36 main:574] : INFO : Epoch 39 | loss: 0.0105053 | val_loss: 0.0112905 | Time: 6118.79 ms [2020-11-10 19:01:42 main:574] : INFO : Epoch 40 | loss: 0.0169475 | val_loss: 0.0115523 | Time: 6010.54 ms [2020-11-10 19:01:48 main:574] : INFO : Epoch 41 | loss: 0.00976905 | val_loss: 0.00907372 | Time: 6137.9 ms [2020-11-10 19:01:55 main:574] : INFO : Epoch 42 | loss: 0.00856711 | val_loss: 0.00836041 | Time: 6223.34 ms [2020-11-10 19:02:01 main:574] : INFO : Epoch 43 | loss: 0.00858641 | val_loss: 0.00888069 | Time: 6211.4 ms [2020-11-10 19:02:07 main:574] : INFO : Epoch 44 | loss: 0.00914395 | val_loss: 0.00984781 | Time: 6126.78 ms [2020-11-10 19:02:13 main:574] : INFO : Epoch 45 | loss: 0.00778693 | val_loss: 0.00757316 | Time: 6251.51 ms [2020-11-10 19:02:20 main:574] : INFO : Epoch 46 | loss: 0.00716409 | val_loss: 0.00716171 | Time: 6166.69 ms [2020-11-10 19:02:26 main:574] : INFO : Epoch 47 | loss: 0.00682549 | val_loss: 0.006902 | Time: 6178.29 ms [2020-11-10 19:02:32 main:574] : INFO : Epoch 48 | loss: 0.00660219 | val_loss: 0.00673913 | Time: 5729.51 ms [2020-11-10 19:02:38 main:574] : INFO : Epoch 49 | loss: 0.00637091 | val_loss: 0.00640005 | Time: 6069.77 ms [2020-11-10 19:02:44 main:574] : INFO : Epoch 50 | loss: 0.00615435 | val_loss: 0.00618448 | Time: 6337.18 ms [2020-11-10 19:02:50 main:574] : INFO : Epoch 51 | loss: 0.00595332 | val_loss: 0.00599205 | Time: 6034.15 ms [2020-11-10 19:02:57 main:574] : INFO : Epoch 52 | loss: 0.00575539 | val_loss: 0.00580388 | Time: 6186.28 ms [2020-11-10 19:03:03 main:574] : INFO : Epoch 53 | loss: 0.00557966 | val_loss: 0.00556478 | Time: 6065 ms [2020-11-10 19:03:09 main:574] : INFO : Epoch 54 | loss: 0.00540326 | val_loss: 0.00539976 | Time: 6231.23 ms [2020-11-10 19:03:15 main:574] : INFO : Epoch 55 | loss: 0.00520223 | val_loss: 0.00519284 | Time: 6100.14 ms [2020-11-10 19:03:21 main:574] : INFO : Epoch 56 | loss: 0.00502439 | val_loss: 0.00502308 | Time: 6353.74 ms [2020-11-10 19:03:28 main:574] : INFO : Epoch 57 | loss: 0.00484965 | val_loss: 0.00483087 | Time: 6385.87 ms [2020-11-10 19:03:34 main:574] : INFO : Epoch 58 | loss: 0.00467705 | val_loss: 0.00466573 | Time: 6188.64 ms [2020-11-10 19:03:40 main:574] : INFO : Epoch 59 | loss: 0.0045083 | val_loss: 0.00448825 | Time: 6251.1 ms [2020-11-10 19:03:47 main:574] : INFO : Epoch 60 | loss: 0.00434121 | val_loss: 0.00432389 | Time: 6159.42 ms [2020-11-10 19:03:53 main:574] : INFO : Epoch 61 | loss: 0.00417585 | val_loss: 0.0041592 | Time: 6021.6 ms [2020-11-10 19:03:59 main:574] : INFO : Epoch 62 | loss: 0.00401497 | val_loss: 0.00399479 | Time: 6108.85 ms [2020-11-10 19:04:05 main:574] : INFO : Epoch 63 | loss: 0.00385549 | val_loss: 0.00383523 | Time: 6089.88 ms [2020-11-10 19:04:11 main:574] : INFO : Epoch 64 | loss: 0.00369845 | val_loss: 0.00367731 | Time: 6271.3 ms [2020-11-10 19:04:17 main:574] : INFO : Epoch 65 | loss: 0.00354453 | val_loss: 0.00352057 | Time: 6125.62 ms [2020-11-10 19:04:24 main:574] : INFO : Epoch 66 | loss: 0.00339305 | val_loss: 0.00336791 | Time: 6126.84 ms [2020-11-10 19:04:30 main:574] : INFO : Epoch 67 | loss: 0.00324635 | val_loss: 0.00321769 | Time: 6176.93 ms [2020-11-10 19:04:36 main:574] : INFO : Epoch 68 | loss: 0.0031024 | val_loss: 0.00306624 | Time: 6183.31 ms [2020-11-10 19:04:42 main:574] : INFO : Epoch 69 | loss: 0.00296107 | val_loss: 0.00290775 | Time: 6109.47 ms [2020-11-10 19:04:49 main:574] : INFO : Epoch 70 | loss: 0.0028247 | val_loss: 0.00277294 | Time: 6122.15 ms [2020-11-10 19:04:55 main:574] : INFO : Epoch 71 | loss: 0.0026926 | val_loss: 0.00264058 | Time: 6356.24 ms [2020-11-10 19:05:01 main:574] : INFO : Epoch 72 | loss: 0.00256434 | val_loss: 0.0025147 | Time: 6207.96 ms [2020-11-10 19:05:07 main:574] : INFO : Epoch 73 | loss: 0.00244085 | val_loss: 0.0023887 | Time: 6104.24 ms [2020-11-10 19:05:13 main:574] : INFO : Epoch 74 | loss: 0.00232208 | val_loss: 0.00227371 | Time: 6092.09 ms [2020-11-10 19:05:20 main:574] : INFO : Epoch 75 | loss: 0.00220698 | val_loss: 0.00215933 | Time: 6389.77 ms [2020-11-10 19:05:26 main:574] : INFO : Epoch 76 | loss: 0.00209669 | val_loss: 0.00204957 | Time: 6216.41 ms [2020-11-10 19:05:33 main:574] : INFO : Epoch 77 | loss: 0.00199165 | val_loss: 0.00194886 | Time: 6364.9 ms [2020-11-10 19:05:39 main:574] : INFO : Epoch 78 | loss: 0.0018906 | val_loss: 0.00185057 | Time: 6282.74 ms [2020-11-10 19:05:45 main:574] : INFO : Epoch 79 | loss: 0.00179383 | val_loss: 0.00175479 | Time: 6203.18 ms [2020-11-10 19:05:52 main:574] : INFO : Epoch 80 | loss: 0.0017019 | val_loss: 0.00166258 | Time: 6203.59 ms [2020-11-10 19:05:58 main:574] : INFO : Epoch 81 | loss: 0.0016133 | val_loss: 0.00157478 | Time: 6048.36 ms [2020-11-10 19:06:04 main:574] : INFO : Epoch 82 | loss: 0.00152966 | val_loss: 0.00149242 | Time: 6112.98 ms [2020-11-10 19:06:10 main:574] : INFO : Epoch 83 | loss: 0.00144961 | val_loss: 0.00141372 | Time: 6278.98 ms [2020-11-10 19:06:16 main:574] : INFO : Epoch 84 | loss: 0.00137366 | val_loss: 0.00133944 | Time: 6079.21 ms [2020-11-10 19:06:22 main:574] : INFO : Epoch 85 | loss: 0.00130071 | val_loss: 0.00127079 | Time: 6258 ms [2020-11-10 19:06:29 main:574] : INFO : Epoch 86 | loss: 0.00123168 | val_loss: 0.00120166 | Time: 6239.67 ms [2020-11-10 19:06:35 main:574] : INFO : Epoch 87 | loss: 0.00116584 | val_loss: 0.00114004 | Time: 6110.75 ms [2020-11-10 19:06:41 main:574] : INFO : Epoch 88 | loss: 0.00110388 | val_loss: 0.00107908 | Time: 6221.69 ms [2020-11-10 19:06:47 main:574] : INFO : Epoch 89 | loss: 0.00104496 | val_loss: 0.00101948 | Time: 6016.28 ms [2020-11-10 19:06:53 main:574] : INFO : Epoch 90 | loss: 0.000987683 | val_loss: 0.000963274 | Time: 6106.6 ms [2020-11-10 19:07:00 main:574] : INFO : Epoch 91 | loss: 0.000934588 | val_loss: 0.000911003 | Time: 6086.36 ms [2020-11-10 19:07:06 main:574] : INFO : Epoch 92 | loss: 0.000883128 | val_loss: 0.000862211 | Time: 6075.94 ms [2020-11-10 19:07:12 main:574] : INFO : Epoch 93 | loss: 0.000834741 | val_loss: 0.000814133 | Time: 6228.91 ms [2020-11-10 19:07:18 main:574] : INFO : Epoch 94 | loss: 0.00078933 | val_loss: 0.000769289 | Time: 5998.91 ms [2020-11-10 19:07:24 main:574] : INFO : Epoch 95 | loss: 0.000745617 | val_loss: 0.000729156 | Time: 5929.22 ms [2020-11-10 19:07:30 main:574] : INFO : Epoch 96 | loss: 0.000704573 | val_loss: 0.000687264 | Time: 6243.66 ms [2020-11-10 19:07:36 main:574] : INFO : Epoch 97 | loss: 0.000665717 | val_loss: 0.000649256 | Time: 6217.27 ms [2020-11-10 19:07:43 main:574] : INFO : Epoch 98 | loss: 0.000628776 | val_loss: 0.00061423 | Time: 6046.6 ms [2020-11-10 19:07:49 main:574] : INFO : Epoch 99 | loss: 0.000593777 | val_loss: 0.00058043 | Time: 6035.11 ms [2020-11-10 19:07:55 main:574] : INFO : Epoch 100 | loss: 0.000560515 | val_loss: 0.00054829 | Time: 6155.24 ms [2020-11-10 19:08:01 main:574] : INFO : Epoch 101 | loss: 0.000528709 | val_loss: 0.000515711 | Time: 6328.95 ms [2020-11-10 19:08:07 main:574] : INFO : Epoch 102 | loss: 0.000500841 | val_loss: 0.000492212 | Time: 6146.69 ms [2020-11-10 19:08:14 main:574] : INFO : Epoch 103 | loss: 0.000472961 | val_loss: 0.000461345 | Time: 6163.04 ms [2020-11-10 19:08:20 main:574] : INFO : Epoch 104 | loss: 0.00044631 | val_loss: 0.000437009 | Time: 6209.93 ms [2020-11-10 19:08:26 main:574] : INFO : Epoch 105 | loss: 0.000421924 | val_loss: 0.000413484 | Time: 6130.1 ms [2020-11-10 19:08:32 main:574] : INFO : Epoch 106 | loss: 0.000399393 | val_loss: 0.000392967 | Time: 6244.65 ms [2020-11-10 19:08:39 main:574] : INFO : Epoch 107 | loss: 0.000378014 | val_loss: 0.000369357 | Time: 6319.31 ms [2020-11-10 19:08:45 main:574] : INFO : Epoch 108 | loss: 0.00035793 | val_loss: 0.000349815 | Time: 6062.82 ms [2020-11-10 19:08:51 main:574] : INFO : Epoch 109 | loss: 0.000337994 | val_loss: 0.000330739 | Time: 6124.5 ms [2020-11-10 19:08:57 main:574] : INFO : Epoch 110 | loss: 0.000320465 | val_loss: 0.000312645 | Time: 6061.6 ms [2020-11-10 19:09:03 main:574] : INFO : Epoch 111 | loss: 0.00030347 | val_loss: 0.000296997 | Time: 6177 ms [2020-11-10 19:09:10 main:574] : INFO : Epoch 112 | loss: 0.000287204 | val_loss: 0.000282124 | Time: 6188.6 ms [2020-11-10 19:09:16 main:574] : INFO : Epoch 113 | loss: 0.000272589 | val_loss: 0.000265628 | Time: 6152.54 ms [2020-11-10 19:09:22 main:574] : INFO : Epoch 114 | loss: 0.00025868 | val_loss: 0.000253928 | Time: 6139.46 ms [2020-11-10 19:09:28 main:574] : INFO : Epoch 115 | loss: 0.000245921 | val_loss: 0.000243241 | Time: 6044.51 ms [2020-11-10 19:09:34 main:574] : INFO : Epoch 116 | loss: 0.000232748 | val_loss: 0.000231406 | Time: 6006.33 ms [2020-11-10 19:09:40 main:574] : INFO : Epoch 117 | loss: 0.000220884 | val_loss: 0.000216549 | Time: 5952.28 ms [2020-11-10 19:09:46 main:574] : INFO : Epoch 118 | loss: 0.000209979 | val_loss: 0.00020644 | Time: 6097.8 ms [2020-11-10 19:09:53 main:574] : INFO : Epoch 119 | loss: 0.000200012 | val_loss: 0.000195203 | Time: 6245.48 ms [2020-11-10 19:09:59 main:574] : INFO : Epoch 120 | loss: 0.00018916 | val_loss: 0.000186003 | Time: 6070.41 ms [2020-11-10 19:10:05 main:574] : INFO : Epoch 121 | loss: 0.000179778 | val_loss: 0.000176083 | Time: 6189 ms [2020-11-10 19:10:11 main:574] : INFO : Epoch 122 | loss: 0.000170997 | val_loss: 0.000169921 | Time: 6165.84 ms [2020-11-10 19:10:17 main:574] : INFO : Epoch 123 | loss: 0.000162323 | val_loss: 0.000159195 | Time: 6130.22 ms [2020-11-10 19:10:23 main:574] : INFO : Epoch 124 | loss: 0.000155046 | val_loss: 0.000151899 | Time: 6034.64 ms [2020-11-10 19:10:30 main:574] : INFO : Epoch 125 | loss: 0.000147705 | val_loss: 0.000143654 | Time: 6135.57 ms [2020-11-10 19:10:36 main:574] : INFO : Epoch 126 | loss: 0.000140771 | val_loss: 0.000137932 | Time: 6034.44 ms [2020-11-10 19:10:42 main:574] : INFO : Epoch 127 | loss: 0.000134508 | val_loss: 0.000134554 | Time: 6027.13 ms [2020-11-10 19:10:48 main:574] : INFO : Epoch 128 | loss: 0.000128303 | val_loss: 0.000126481 | Time: 6120.57 ms [2020-11-10 19:10:54 main:574] : INFO : Epoch 129 | loss: 0.000122245 | val_loss: 0.000121625 | Time: 6112.18 ms [2020-11-10 19:11:00 main:574] : INFO : Epoch 130 | loss: 0.000117039 | val_loss: 0.000117072 | Time: 6029.39 ms [2020-11-10 19:11:06 main:574] : INFO : Epoch 131 | loss: 0.000111799 | val_loss: 0.000110253 | Time: 6066.24 ms [2020-11-10 19:11:13 main:574] : INFO : Epoch 132 | loss: 0.000107472 | val_loss: 0.000107828 | Time: 6247.89 ms [2020-11-10 19:11:19 main:574] : INFO : Epoch 133 | loss: 0.00010345 | val_loss: 0.000103421 | Time: 6355.64 ms [2020-11-10 19:11:25 main:574] : INFO : Epoch 134 | loss: 9.90157e-05 | val_loss: 9.85623e-05 | Time: 6367.02 ms [2020-11-10 19:11:32 main:574] : INFO : Epoch 135 | loss: 9.51879e-05 | val_loss: 9.51162e-05 | Time: 6119.31 ms [2020-11-10 19:11:38 main:574] : INFO : Epoch 136 | loss: 9.18173e-05 | val_loss: 9.02366e-05 | Time: 6267.48 ms [2020-11-10 19:11:44 main:574] : INFO : Epoch 137 | loss: 8.82224e-05 | val_loss: 8.69422e-05 | Time: 6294.83 ms [2020-11-10 19:11:50 main:574] : INFO : Epoch 138 | loss: 8.43336e-05 | val_loss: 8.32692e-05 | Time: 6068.79 ms [2020-11-10 19:11:57 main:574] : INFO : Epoch 139 | loss: 8.13139e-05 | val_loss: 7.9993e-05 | Time: 6176.16 ms [2020-11-10 19:12:03 main:574] : INFO : Epoch 140 | loss: 7.87885e-05 | val_loss: 7.81298e-05 | Time: 6200.6 ms [2020-11-10 19:12:09 main:574] : INFO : Epoch 141 | loss: 7.62407e-05 | val_loss: 7.70134e-05 | Time: 6225.92 ms [2020-11-10 19:12:15 main:574] : INFO : Epoch 142 | loss: 7.44951e-05 | val_loss: 7.49497e-05 | Time: 6192.8 ms [2020-11-10 19:12:21 main:574] : INFO : Epoch 143 | loss: 7.08581e-05 | val_loss: 7.10162e-05 | Time: 6092.34 ms [2020-11-10 19:12:28 main:574] : INFO : Epoch 144 | loss: 6.84307e-05 | val_loss: 6.8351e-05 | Time: 6427.87 ms [2020-11-10 19:12:34 main:574] : INFO : Epoch 145 | loss: 6.73157e-05 | val_loss: 6.60842e-05 | Time: 6059.01 ms [2020-11-10 19:12:40 main:574] : INFO : Epoch 146 | loss: 6.47686e-05 | val_loss: 6.50491e-05 | Time: 6095.38 ms [2020-11-10 19:12:47 main:574] : INFO : Epoch 147 | loss: 6.30014e-05 | val_loss: 6.20235e-05 | Time: 6543.16 ms [2020-11-10 19:12:53 main:574] : INFO : Epoch 148 | loss: 6.08431e-05 | val_loss: 5.96949e-05 | Time: 6258.11 ms [2020-11-10 19:12:59 main:574] : INFO : Epoch 149 | loss: 5.86353e-05 | val_loss: 5.84229e-05 | Time: 6278.45 ms [2020-11-10 19:13:06 main:574] : INFO : Epoch 150 | loss: 5.72804e-05 | val_loss: 5.88974e-05 | Time: 6088.67 ms [2020-11-10 19:13:12 main:574] : INFO : Epoch 151 | loss: 5.62431e-05 | val_loss: 5.56966e-05 | Time: 6228.99 ms [2020-11-10 19:13:18 main:574] : INFO : Epoch 152 | loss: 5.40949e-05 | val_loss: 5.26887e-05 | Time: 6191.47 ms [2020-11-10 19:13:24 main:574] : INFO : Epoch 153 | loss: 5.22668e-05 | val_loss: 5.13261e-05 | Time: 6211.93 ms [2020-11-10 19:13:30 main:574] : INFO : Epoch 154 | loss: 5.11606e-05 | val_loss: 5.0429e-05 | Time: 5995.92 ms [2020-11-10 19:13:37 main:574] : INFO : Epoch 155 | loss: 4.96065e-05 | val_loss: 4.8305e-05 | Time: 6116.29 ms [2020-11-10 19:13:43 main:574] : INFO : Epoch 156 | loss: 4.82926e-05 | val_loss: 5.03513e-05 | Time: 6063.94 ms [2020-11-10 19:13:49 main:574] : INFO : Epoch 157 | loss: 4.79678e-05 | val_loss: 4.80604e-05 | Time: 5964.03 ms [2020-11-10 19:13:55 main:574] : INFO : Epoch 158 | loss: 4.62904e-05 | val_loss: 4.47796e-05 | Time: 6053.32 ms [2020-11-10 19:14:01 main:574] : INFO : Epoch 159 | loss: 4.5566e-05 | val_loss: 4.57667e-05 | Time: 6106.82 ms [2020-11-10 19:14:07 main:574] : INFO : Epoch 160 | loss: 4.44222e-05 | val_loss: 4.25113e-05 | Time: 6236.76 ms [2020-11-10 19:14:13 main:574] : INFO : Epoch 161 | loss: 4.26367e-05 | val_loss: 4.23513e-05 | Time: 6080.29 ms [2020-11-10 19:14:20 main:574] : INFO : Epoch 162 | loss: 4.23497e-05 | val_loss: 4.22162e-05 | Time: 6179.97 ms [2020-11-10 19:14:26 main:574] : INFO : Epoch 163 | loss: 4.09441e-05 | val_loss: 4.16797e-05 | Time: 6123.34 ms [2020-11-10 19:14:32 main:574] : INFO : Epoch 164 | loss: 4.06048e-05 | val_loss: 4.07534e-05 | Time: 6202.65 ms [2020-11-10 19:14:39 main:574] : INFO : Epoch 165 | loss: 3.93346e-05 | val_loss: 3.88659e-05 | Time: 6374.4 ms [2020-11-10 19:14:44 main:574] : INFO : Epoch 166 | loss: 3.86243e-05 | val_loss: 3.86881e-05 | Time: 5904.4 ms [2020-11-10 19:14:51 main:574] : INFO : Epoch 167 | loss: 3.79122e-05 | val_loss: 3.74159e-05 | Time: 6140.73 ms [2020-11-10 19:14:57 main:574] : INFO : Epoch 168 | loss: 3.73583e-05 | val_loss: 3.5764e-05 | Time: 6168.29 ms [2020-11-10 19:15:03 main:574] : INFO : Epoch 169 | loss: 3.60078e-05 | val_loss: 3.53436e-05 | Time: 6104.6 ms [2020-11-10 19:15:09 main:574] : INFO : Epoch 170 | loss: 3.53598e-05 | val_loss: 3.49375e-05 | Time: 6243.18 ms [2020-11-10 19:15:15 main:574] : INFO : Epoch 171 | loss: 3.4574e-05 | val_loss: 3.59729e-05 | Time: 6079.09 ms [2020-11-10 19:15:22 main:574] : INFO : Epoch 172 | loss: 3.44632e-05 | val_loss: 3.28828e-05 | Time: 6242.35 ms [2020-11-10 19:15:28 main:574] : INFO : Epoch 173 | loss: 3.35657e-05 | val_loss: 3.31798e-05 | Time: 6158.16 ms [2020-11-10 19:15:34 main:574] : INFO : Epoch 174 | loss: 3.36944e-05 | val_loss: 3.27828e-05 | Time: 6235.76 ms [2020-11-10 19:15:41 main:574] : INFO : Epoch 175 | loss: 3.22038e-05 | val_loss: 3.3598e-05 | Time: 6303.39 ms [2020-11-10 19:15:47 main:574] : INFO : Epoch 176 | loss: 3.16646e-05 | val_loss: 3.19315e-05 | Time: 6034.97 ms [2020-11-10 19:15:53 main:574] : INFO : Epoch 177 | loss: 3.18189e-05 | val_loss: 3.06629e-05 | Time: 6239.78 ms [2020-11-10 19:15:59 main:574] : INFO : Epoch 178 | loss: 3.08909e-05 | val_loss: 3.10904e-05 | Time: 6197.29 ms [2020-11-10 19:16:06 main:574] : INFO : Epoch 179 | loss: 3.01548e-05 | val_loss: 3.02747e-05 | Time: 6412.69 ms [2020-11-10 19:16:12 main:574] : INFO : Epoch 180 | loss: 2.97359e-05 | val_loss: 2.85355e-05 | Time: 6124.98 ms [2020-11-10 19:16:18 main:574] : INFO : Epoch 181 | loss: 2.90829e-05 | val_loss: 3.18757e-05 | Time: 6126.92 ms [2020-11-10 19:16:24 main:574] : INFO : Epoch 182 | loss: 2.89392e-05 | val_loss: 3.04106e-05 | Time: 6103.23 ms [2020-11-10 19:16:30 main:574] : INFO : Epoch 183 | loss: 2.86206e-05 | val_loss: 2.80297e-05 | Time: 6070.67 ms [2020-11-10 19:16:36 main:574] : INFO : Epoch 184 | loss: 2.83959e-05 | val_loss: 2.72565e-05 | Time: 6125.32 ms [2020-11-10 19:16:43 main:574] : INFO : Epoch 185 | loss: 2.74817e-05 | val_loss: 2.65363e-05 | Time: 6232.17 ms [2020-11-10 19:16:49 main:574] : INFO : Epoch 186 | loss: 2.70857e-05 | val_loss: 2.64873e-05 | Time: 6132.5 ms [2020-11-10 19:16:55 main:574] : INFO : Epoch 187 | loss: 2.66318e-05 | val_loss: 2.70681e-05 | Time: 6054.05 ms [2020-11-10 19:17:01 main:574] : INFO : Epoch 188 | loss: 2.63831e-05 | val_loss: 2.61603e-05 | Time: 6160.85 ms [2020-11-10 19:17:08 main:574] : INFO : Epoch 189 | loss: 2.62045e-05 | val_loss: 2.62429e-05 | Time: 6322.72 ms [2020-11-10 19:17:14 main:574] : INFO : Epoch 190 | loss: 2.5817e-05 | val_loss: 2.5628e-05 | Time: 6035.33 ms [2020-11-10 19:17:20 main:574] : INFO : Epoch 191 | loss: 2.55051e-05 | val_loss: 2.49583e-05 | Time: 6222.33 ms [2020-11-10 19:17:26 main:574] : INFO : Epoch 192 | loss: 2.49038e-05 | val_loss: 2.54624e-05 | Time: 6170.18 ms [2020-11-10 19:17:26 main:597] : INFO : Saving trained model to model-final.pt, val_loss 2.54624e-05 [2020-11-10 19:17:26 main:603] : INFO : Saving end state to config to file [2020-11-10 19:17:26 main:608] : INFO : Success, exiting.. 19:17:26 (11532): 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)