Task 2805718
| Name | rand_automata_0047-1604984750-30705-0_0 |
| Workunit | 1264290 |
| Created | 10 Nov 2020, 5:05:55 UTC |
| Sent | 10 Nov 2020, 8:10:07 UTC |
| Report deadline | 11 Nov 2020, 6:40:07 UTC |
| Received | 11 Nov 2020, 1:09:06 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 563 |
| Run time | 21 min 58 sec |
| CPU time | 20 min 46 sec |
| Validate state | Valid |
| Credit | 959.40 |
| Device peak FLOPS | 5,442.60 GFLOPS |
| Application version | Machine Learning Dataset Generator (test) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 1.95 GB |
| Peak swap size | 3.88 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 1660 Ti) [2020-11-11 01:47:11 main:435] : INFO : Set logging level to 1 [2020-11-11 01:47:11 main:441] : INFO : Running in BOINC Client mode [2020-11-11 01:47:11 main:444] : INFO : Resolving all filenames [2020-11-11 01:47:12 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0047-train-val-dataset.hdf5 (exists = 1) [2020-11-11 01:47:12 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0047-1604984750-30705-0_0_r55639785_1 (exists = 0) [2020-11-11 01:47:12 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0047-1604984750-30705-0_0_r55639785_0 (exists = 0) [2020-11-11 01:47:12 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-11 01:47:12 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-11 01:47:12 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0047-train-val-dataset.hdf5 [2020-11-11 01:47:12 main:474] : INFO : Configuration: [2020-11-11 01:47:12 main:475] : INFO : Model type: LSTM [2020-11-11 01:47:12 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-11 01:47:12 main:477] : INFO : Max Epochs: 192 [2020-11-11 01:47:12 main:478] : INFO : Batch Size: 32 [2020-11-11 01:47:12 main:479] : INFO : Learning Rate: 0.001 [2020-11-11 01:47:12 main:480] : INFO : Patience: 10 [2020-11-11 01:47:12 main:481] : INFO : Hidden Width: 64 [2020-11-11 01:47:12 main:482] : INFO : # Recurrent Layers: 4 [2020-11-11 01:47:12 main:483] : INFO : # Backend Layers: 2 [2020-11-11 01:47:12 main:484] : INFO : # Threads: 1 [2020-11-11 01:47:12 main:486] : INFO : Preparing Dataset [2020-11-11 01:47:12 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0047-train-val-dataset.hdf5 into memory [2020-11-11 01:47:13 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0047-train-val-dataset.hdf5 into memory [2020-11-11 01:47:14 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-11 01:47:14 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0047-train-val-dataset.hdf5 into memory [2020-11-11 01:47:14 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0047-train-val-dataset.hdf5 into memory [2020-11-11 01:47:14 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-11 01:47:14 main:494] : INFO : Creating Model [2020-11-11 01:47:15 main:507] : INFO : Preparing config file [2020-11-11 01:47:15 main:519] : INFO : Creating new config file [2020-11-11 01:47:16 main:559] : INFO : Loading DataLoader into Memory [2020-11-11 01:47:17 main:562] : INFO : Starting Training [2020-11-11 01:47:24 main:574] : INFO : Epoch 1 | loss: 0.0665654 | val_loss: 0.066018 | Time: 7240.74 ms [2020-11-11 01:47:31 main:574] : INFO : Epoch 2 | loss: 0.0656303 | val_loss: 0.0648818 | Time: 6949.38 ms [2020-11-11 01:47:38 main:574] : INFO : Epoch 3 | loss: 0.0630599 | val_loss: 0.0607787 | Time: 6889.67 ms [2020-11-11 01:47:46 main:574] : INFO : Epoch 4 | loss: 0.0592241 | val_loss: 0.0577433 | Time: 6938.05 ms [2020-11-11 01:47:53 main:574] : INFO : Epoch 5 | loss: 0.0569193 | val_loss: 0.0560496 | Time: 6838.68 ms [2020-11-11 01:47:59 main:574] : INFO : Epoch 6 | loss: 0.0553544 | val_loss: 0.0546657 | Time: 6821.31 ms [2020-11-11 01:48:06 main:574] : INFO : Epoch 7 | loss: 0.0539637 | val_loss: 0.0532968 | Time: 6949.8 ms [2020-11-11 01:48:13 main:574] : INFO : Epoch 8 | loss: 0.0527069 | val_loss: 0.0520973 | Time: 6949.01 ms [2020-11-11 01:48:20 main:574] : INFO : Epoch 9 | loss: 0.0514796 | val_loss: 0.0510006 | Time: 6797.36 ms [2020-11-11 01:48:26 main:574] : INFO : Epoch 10 | loss: 0.0502619 | val_loss: 0.0496645 | Time: 6173.86 ms [2020-11-11 01:48:34 main:574] : INFO : Epoch 11 | loss: 0.0489541 | val_loss: 0.0485002 | Time: 7179.11 ms [2020-11-11 01:48:42 main:574] : INFO : Epoch 12 | loss: 0.0475509 | val_loss: 0.0469423 | Time: 8220.17 ms [2020-11-11 01:48:50 main:574] : INFO : Epoch 13 | loss: 0.0460817 | val_loss: 0.0455815 | Time: 7640.45 ms [2020-11-11 01:48:57 main:574] : INFO : Epoch 14 | loss: 0.0443834 | val_loss: 0.0440113 | Time: 7875.7 ms [2020-11-11 01:49:05 main:574] : INFO : Epoch 15 | loss: 0.0423795 | val_loss: 0.0418384 | Time: 7643.76 ms [2020-11-11 01:49:13 main:574] : INFO : Epoch 16 | loss: 0.0401402 | val_loss: 0.0398416 | Time: 7730.24 ms [2020-11-11 01:49:21 main:574] : INFO : Epoch 17 | loss: 0.0375524 | val_loss: 0.0375011 | Time: 7747.89 ms [2020-11-11 01:49:29 main:574] : INFO : Epoch 18 | loss: 0.0347944 | val_loss: 0.035031 | Time: 8136.74 ms [2020-11-11 01:49:37 main:574] : INFO : Epoch 19 | loss: 0.0332311 | val_loss: 0.0329462 | Time: 7829.11 ms [2020-11-11 01:49:45 main:574] : INFO : Epoch 20 | loss: 0.0297928 | val_loss: 0.0321925 | Time: 7578.87 ms [2020-11-11 01:49:53 main:574] : INFO : Epoch 21 | loss: 0.0282529 | val_loss: 0.0266398 | Time: 7870.58 ms [2020-11-11 01:50:01 main:574] : INFO : Epoch 22 | loss: 0.0253305 | val_loss: 0.0238047 | Time: 8372.78 ms [2020-11-11 01:50:09 main:574] : INFO : Epoch 23 | loss: 0.0256787 | val_loss: 0.0263786 | Time: 8007.28 ms [2020-11-11 01:50:17 main:574] : INFO : Epoch 24 | loss: 0.0473118 | val_loss: 0.0494779 | Time: 8243.97 ms [2020-11-11 01:50:25 main:574] : INFO : Epoch 25 | loss: 0.0377816 | val_loss: 0.0272781 | Time: 7705.96 ms [2020-11-11 01:50:34 main:574] : INFO : Epoch 26 | loss: 0.0285503 | val_loss: 0.0237868 | Time: 8376.34 ms [2020-11-11 01:50:44 main:574] : INFO : Epoch 27 | loss: 0.0222971 | val_loss: 0.0199064 | Time: 9957.02 ms [2020-11-11 01:50:56 main:574] : INFO : Epoch 28 | loss: 0.0162938 | val_loss: 0.0163138 | Time: 12355.2 ms [2020-11-11 01:51:11 main:574] : INFO : Epoch 29 | loss: 0.0172871 | val_loss: 0.0216135 | Time: 13379.2 ms [2020-11-11 01:51:19 main:574] : INFO : Epoch 30 | loss: 0.017677 | val_loss: 0.0164446 | Time: 8039.79 ms [2020-11-11 01:51:30 main:574] : INFO : Epoch 31 | loss: 0.0132027 | val_loss: 0.0139744 | Time: 10301.6 ms [2020-11-11 01:51:37 main:574] : INFO : Epoch 32 | loss: 0.0142173 | val_loss: 0.0201991 | Time: 7029.81 ms [2020-11-11 01:51:44 main:574] : INFO : Epoch 33 | loss: 0.0131828 | val_loss: 0.0122746 | Time: 7012.22 ms [2020-11-11 01:51:51 main:574] : INFO : Epoch 34 | loss: 0.0113749 | val_loss: 0.012418 | Time: 6920.87 ms [2020-11-11 01:51:58 main:574] : INFO : Epoch 35 | loss: 0.00998782 | val_loss: 0.0103182 | Time: 6897.86 ms [2020-11-11 01:52:05 main:574] : INFO : Epoch 36 | loss: 0.0102314 | val_loss: 0.0128442 | Time: 6924.57 ms [2020-11-11 01:52:12 main:574] : INFO : Epoch 37 | loss: 0.0105708 | val_loss: 0.0126475 | Time: 6848.17 ms [2020-11-11 01:52:18 main:574] : INFO : Epoch 38 | loss: 0.00936418 | val_loss: 0.00885726 | Time: 6634.34 ms [2020-11-11 01:52:25 main:574] : INFO : Epoch 39 | loss: 0.00833926 | val_loss: 0.0103024 | Time: 6708.71 ms [2020-11-11 01:52:32 main:574] : INFO : Epoch 40 | loss: 0.00834055 | val_loss: 0.00821098 | Time: 6676.16 ms [2020-11-11 01:52:39 main:574] : INFO : Epoch 41 | loss: 0.00761123 | val_loss: 0.00807088 | Time: 6643.89 ms [2020-11-11 01:52:45 main:574] : INFO : Epoch 42 | loss: 0.00732871 | val_loss: 0.00748335 | Time: 6638.77 ms [2020-11-11 01:52:52 main:574] : INFO : Epoch 43 | loss: 0.00706522 | val_loss: 0.0073344 | Time: 6627.69 ms [2020-11-11 01:52:59 main:574] : INFO : Epoch 44 | loss: 0.00684711 | val_loss: 0.00700999 | Time: 6604.36 ms [2020-11-11 01:53:05 main:574] : INFO : Epoch 45 | loss: 0.00655399 | val_loss: 0.00680801 | Time: 6629.21 ms [2020-11-11 01:53:12 main:574] : INFO : Epoch 46 | loss: 0.00634001 | val_loss: 0.00652259 | Time: 6605.39 ms [2020-11-11 01:53:19 main:574] : INFO : Epoch 47 | loss: 0.00611572 | val_loss: 0.00629535 | Time: 6621.12 ms [2020-11-11 01:53:25 main:574] : INFO : Epoch 48 | loss: 0.00590831 | val_loss: 0.00605395 | Time: 6684.39 ms [2020-11-11 01:53:32 main:574] : INFO : Epoch 49 | loss: 0.00570808 | val_loss: 0.00586799 | Time: 6726.92 ms [2020-11-11 01:53:39 main:574] : INFO : Epoch 50 | loss: 0.00551496 | val_loss: 0.00562951 | Time: 6743.3 ms [2020-11-11 01:53:46 main:574] : INFO : Epoch 51 | loss: 0.00531317 | val_loss: 0.00543423 | Time: 6664.13 ms [2020-11-11 01:53:52 main:574] : INFO : Epoch 52 | loss: 0.00512503 | val_loss: 0.00522349 | Time: 6703.33 ms [2020-11-11 01:53:59 main:574] : INFO : Epoch 53 | loss: 0.00494474 | val_loss: 0.00502264 | Time: 6658.19 ms [2020-11-11 01:54:06 main:574] : INFO : Epoch 54 | loss: 0.00475785 | val_loss: 0.00484295 | Time: 6682.21 ms [2020-11-11 01:54:13 main:574] : INFO : Epoch 55 | loss: 0.00458058 | val_loss: 0.00464593 | Time: 6671.63 ms [2020-11-11 01:54:19 main:574] : INFO : Epoch 56 | loss: 0.00440623 | val_loss: 0.00445835 | Time: 6630.24 ms [2020-11-11 01:54:26 main:574] : INFO : Epoch 57 | loss: 0.00423573 | val_loss: 0.00428509 | Time: 6637.02 ms [2020-11-11 01:54:33 main:574] : INFO : Epoch 58 | loss: 0.00407221 | val_loss: 0.00411166 | Time: 6691.97 ms [2020-11-11 01:54:40 main:574] : INFO : Epoch 59 | loss: 0.0039103 | val_loss: 0.00394431 | Time: 6663.59 ms [2020-11-11 01:54:46 main:574] : INFO : Epoch 60 | loss: 0.00375348 | val_loss: 0.00378038 | Time: 6645.56 ms [2020-11-11 01:54:53 main:574] : INFO : Epoch 61 | loss: 0.00359966 | val_loss: 0.00362887 | Time: 6701.54 ms [2020-11-11 01:55:00 main:574] : INFO : Epoch 62 | loss: 0.00345366 | val_loss: 0.00347207 | Time: 6679.66 ms [2020-11-11 01:55:07 main:574] : INFO : Epoch 63 | loss: 0.00331001 | val_loss: 0.0033301 | Time: 6768.2 ms [2020-11-11 01:55:14 main:574] : INFO : Epoch 64 | loss: 0.00317005 | val_loss: 0.00318223 | Time: 6619.16 ms [2020-11-11 01:55:20 main:574] : INFO : Epoch 65 | loss: 0.00303563 | val_loss: 0.00304765 | Time: 6546.78 ms [2020-11-11 01:55:27 main:574] : INFO : Epoch 66 | loss: 0.00290485 | val_loss: 0.00290877 | Time: 6604.02 ms [2020-11-11 01:55:34 main:574] : INFO : Epoch 67 | loss: 0.00277946 | val_loss: 0.0027808 | Time: 6498.36 ms [2020-11-11 01:55:40 main:574] : INFO : Epoch 68 | loss: 0.00265821 | val_loss: 0.00265691 | Time: 6529.64 ms [2020-11-11 01:55:47 main:574] : INFO : Epoch 69 | loss: 0.00254132 | val_loss: 0.00254097 | Time: 6544.7 ms [2020-11-11 01:55:53 main:574] : INFO : Epoch 70 | loss: 0.00242815 | val_loss: 0.00242856 | Time: 6580.56 ms [2020-11-11 01:56:00 main:574] : INFO : Epoch 71 | loss: 0.00232204 | val_loss: 0.00231884 | Time: 6547.12 ms [2020-11-11 01:56:06 main:574] : INFO : Epoch 72 | loss: 0.00221773 | val_loss: 0.00221498 | Time: 6353.37 ms [2020-11-11 01:56:13 main:574] : INFO : Epoch 73 | loss: 0.00211964 | val_loss: 0.0021142 | Time: 6361.73 ms [2020-11-11 01:56:19 main:574] : INFO : Epoch 74 | loss: 0.00202477 | val_loss: 0.00201943 | Time: 6323.39 ms [2020-11-11 01:56:26 main:574] : INFO : Epoch 75 | loss: 0.00193398 | val_loss: 0.00192622 | Time: 6287.19 ms [2020-11-11 01:56:32 main:574] : INFO : Epoch 76 | loss: 0.00184869 | val_loss: 0.00184132 | Time: 6255.56 ms [2020-11-11 01:56:38 main:574] : INFO : Epoch 77 | loss: 0.00176644 | val_loss: 0.00176256 | Time: 6227.69 ms [2020-11-11 01:56:44 main:574] : INFO : Epoch 78 | loss: 0.00168814 | val_loss: 0.0016828 | Time: 6158.67 ms [2020-11-11 01:56:50 main:574] : INFO : Epoch 79 | loss: 0.00161366 | val_loss: 0.00160678 | Time: 6012.32 ms [2020-11-11 01:56:56 main:574] : INFO : Epoch 80 | loss: 0.00154244 | val_loss: 0.00153367 | Time: 5682.6 ms [2020-11-11 01:57:02 main:574] : INFO : Epoch 81 | loss: 0.00147554 | val_loss: 0.00146764 | Time: 5659.59 ms [2020-11-11 01:57:08 main:574] : INFO : Epoch 82 | loss: 0.00140963 | val_loss: 0.00140301 | Time: 5791.63 ms [2020-11-11 01:57:14 main:574] : INFO : Epoch 83 | loss: 0.00134799 | val_loss: 0.00134157 | Time: 5774.7 ms [2020-11-11 01:57:20 main:574] : INFO : Epoch 84 | loss: 0.00128804 | val_loss: 0.00128102 | Time: 5977.8 ms [2020-11-11 01:57:25 main:574] : INFO : Epoch 85 | loss: 0.00123268 | val_loss: 0.00122352 | Time: 5804.23 ms [2020-11-11 01:57:31 main:574] : INFO : Epoch 86 | loss: 0.00117814 | val_loss: 0.0011689 | Time: 5672.06 ms [2020-11-11 01:57:37 main:574] : INFO : Epoch 87 | loss: 0.00112648 | val_loss: 0.00111854 | Time: 5808.48 ms [2020-11-11 01:57:43 main:574] : INFO : Epoch 88 | loss: 0.00107552 | val_loss: 0.00106619 | Time: 5772.59 ms [2020-11-11 01:57:49 main:574] : INFO : Epoch 89 | loss: 0.00102894 | val_loss: 0.00102081 | Time: 5710.34 ms [2020-11-11 01:57:54 main:574] : INFO : Epoch 90 | loss: 0.00098216 | val_loss: 0.000977136 | Time: 5649.35 ms [2020-11-11 01:58:00 main:574] : INFO : Epoch 91 | loss: 0.000938592 | val_loss: 0.000930286 | Time: 5618.69 ms [2020-11-11 01:58:06 main:574] : INFO : Epoch 92 | loss: 0.000895463 | val_loss: 0.000891552 | Time: 5677.72 ms [2020-11-11 01:58:11 main:574] : INFO : Epoch 93 | loss: 0.000856417 | val_loss: 0.000848083 | Time: 5687.45 ms [2020-11-11 01:58:17 main:574] : INFO : Epoch 94 | loss: 0.000817475 | val_loss: 0.000811084 | Time: 5736.94 ms [2020-11-11 01:58:23 main:574] : INFO : Epoch 95 | loss: 0.000781674 | val_loss: 0.0007743 | Time: 5680.29 ms [2020-11-11 01:58:29 main:574] : INFO : Epoch 96 | loss: 0.000746369 | val_loss: 0.000740649 | Time: 5768.85 ms [2020-11-11 01:58:36 main:574] : INFO : Epoch 97 | loss: 0.000714024 | val_loss: 0.000705852 | Time: 6912.38 ms [2020-11-11 01:58:43 main:574] : INFO : Epoch 98 | loss: 0.0006821 | val_loss: 0.000678403 | Time: 6874.88 ms [2020-11-11 01:58:50 main:574] : INFO : Epoch 99 | loss: 0.000652336 | val_loss: 0.000645835 | Time: 6881.33 ms [2020-11-11 01:58:57 main:574] : INFO : Epoch 100 | loss: 0.000623767 | val_loss: 0.000618761 | Time: 6704.92 ms [2020-11-11 01:59:03 main:574] : INFO : Epoch 101 | loss: 0.000596238 | val_loss: 0.000590093 | Time: 6042.9 ms [2020-11-11 01:59:08 main:574] : INFO : Epoch 102 | loss: 0.000570497 | val_loss: 0.000566574 | Time: 5722.03 ms [2020-11-11 01:59:14 main:574] : INFO : Epoch 103 | loss: 0.000545683 | val_loss: 0.000541086 | Time: 5626.84 ms [2020-11-11 01:59:21 main:574] : INFO : Epoch 104 | loss: 0.000522932 | val_loss: 0.000521974 | Time: 6777.48 ms [2020-11-11 01:59:28 main:574] : INFO : Epoch 105 | loss: 0.000500375 | val_loss: 0.000495084 | Time: 6925.02 ms [2020-11-11 01:59:35 main:574] : INFO : Epoch 106 | loss: 0.00047822 | val_loss: 0.000473169 | Time: 6913.76 ms [2020-11-11 01:59:42 main:574] : INFO : Epoch 107 | loss: 0.000457911 | val_loss: 0.000452758 | Time: 6732.67 ms [2020-11-11 01:59:48 main:574] : INFO : Epoch 108 | loss: 0.000438399 | val_loss: 0.000431456 | Time: 6100.75 ms [2020-11-11 01:59:54 main:574] : INFO : Epoch 109 | loss: 0.000419494 | val_loss: 0.000415404 | Time: 5666.48 ms [2020-11-11 02:00:00 main:574] : INFO : Epoch 110 | loss: 0.000402507 | val_loss: 0.000399024 | Time: 5786.81 ms [2020-11-11 02:00:07 main:574] : INFO : Epoch 111 | loss: 0.000385986 | val_loss: 0.000382492 | Time: 6908.08 ms [2020-11-11 02:00:14 main:574] : INFO : Epoch 112 | loss: 0.000369772 | val_loss: 0.000366557 | Time: 7139 ms [2020-11-11 02:00:21 main:574] : INFO : Epoch 113 | loss: 0.000355647 | val_loss: 0.000352757 | Time: 7040.4 ms [2020-11-11 02:00:28 main:574] : INFO : Epoch 114 | loss: 0.000341219 | val_loss: 0.000337074 | Time: 6630.85 ms [2020-11-11 02:00:34 main:574] : INFO : Epoch 115 | loss: 0.000327097 | val_loss: 0.000326252 | Time: 5818.28 ms [2020-11-11 02:00:40 main:574] : INFO : Epoch 116 | loss: 0.000315057 | val_loss: 0.000313169 | Time: 5644.72 ms [2020-11-11 02:00:46 main:574] : INFO : Epoch 117 | loss: 0.000303236 | val_loss: 0.000301033 | Time: 6021.57 ms [2020-11-11 02:00:53 main:574] : INFO : Epoch 118 | loss: 0.000291006 | val_loss: 0.000291173 | Time: 6939.56 ms [2020-11-11 02:01:00 main:574] : INFO : Epoch 119 | loss: 0.000280658 | val_loss: 0.000279035 | Time: 6929.6 ms [2020-11-11 02:01:07 main:574] : INFO : Epoch 120 | loss: 0.000270477 | val_loss: 0.000270365 | Time: 6928.42 ms [2020-11-11 02:01:14 main:574] : INFO : Epoch 121 | loss: 0.000260503 | val_loss: 0.000257239 | Time: 6724.2 ms [2020-11-11 02:01:19 main:574] : INFO : Epoch 122 | loss: 0.000251273 | val_loss: 0.00025031 | Time: 5892.72 ms [2020-11-11 02:01:25 main:574] : INFO : Epoch 123 | loss: 0.000242713 | val_loss: 0.000241315 | Time: 5738.78 ms [2020-11-11 02:01:31 main:574] : INFO : Epoch 124 | loss: 0.000233448 | val_loss: 0.000232311 | Time: 5925.5 ms [2020-11-11 02:01:38 main:574] : INFO : Epoch 125 | loss: 0.000226033 | val_loss: 0.000226012 | Time: 7002.37 ms [2020-11-11 02:01:45 main:574] : INFO : Epoch 126 | loss: 0.000218835 | val_loss: 0.000218492 | Time: 6875.32 ms [2020-11-11 02:01:52 main:574] : INFO : Epoch 127 | loss: 0.000211412 | val_loss: 0.000210013 | Time: 6894.93 ms [2020-11-11 02:01:59 main:574] : INFO : Epoch 128 | loss: 0.000204362 | val_loss: 0.000202902 | Time: 6592.38 ms [2020-11-11 02:02:05 main:574] : INFO : Epoch 129 | loss: 0.000197541 | val_loss: 0.000197893 | Time: 5888.04 ms [2020-11-11 02:02:11 main:574] : INFO : Epoch 130 | loss: 0.000191271 | val_loss: 0.000192485 | Time: 5641.32 ms [2020-11-11 02:02:16 main:574] : INFO : Epoch 131 | loss: 0.000185673 | val_loss: 0.000184973 | Time: 5637.51 ms [2020-11-11 02:02:23 main:574] : INFO : Epoch 132 | loss: 0.000180022 | val_loss: 0.000181041 | Time: 6685.56 ms [2020-11-11 02:02:30 main:574] : INFO : Epoch 133 | loss: 0.000174666 | val_loss: 0.000173192 | Time: 6876.19 ms [2020-11-11 02:02:37 main:574] : INFO : Epoch 134 | loss: 0.000169561 | val_loss: 0.000169145 | Time: 6932.74 ms [2020-11-11 02:02:44 main:574] : INFO : Epoch 135 | loss: 0.00016423 | val_loss: 0.00016568 | Time: 6886.04 ms [2020-11-11 02:02:51 main:574] : INFO : Epoch 136 | loss: 0.000159422 | val_loss: 0.000160002 | Time: 6218.67 ms [2020-11-11 02:02:56 main:574] : INFO : Epoch 137 | loss: 0.000155096 | val_loss: 0.000156561 | Time: 5615.37 ms [2020-11-11 02:03:02 main:574] : INFO : Epoch 138 | loss: 0.00015029 | val_loss: 0.000150328 | Time: 5692.7 ms [2020-11-11 02:03:08 main:574] : INFO : Epoch 139 | loss: 0.000147229 | val_loss: 0.000147871 | Time: 6034.85 ms [2020-11-11 02:03:15 main:574] : INFO : Epoch 140 | loss: 0.000142888 | val_loss: 0.000141378 | Time: 6856.25 ms [2020-11-11 02:03:22 main:574] : INFO : Epoch 141 | loss: 0.000138854 | val_loss: 0.000140065 | Time: 6897.92 ms [2020-11-11 02:03:29 main:574] : INFO : Epoch 142 | loss: 0.0001358 | val_loss: 0.000136585 | Time: 6877.27 ms [2020-11-11 02:03:36 main:574] : INFO : Epoch 143 | loss: 0.000132067 | val_loss: 0.000131428 | Time: 6484.44 ms [2020-11-11 02:03:42 main:574] : INFO : Epoch 144 | loss: 0.000128806 | val_loss: 0.000131758 | Time: 5764.48 ms [2020-11-11 02:03:47 main:574] : INFO : Epoch 145 | loss: 0.000125689 | val_loss: 0.000125732 | Time: 5650.51 ms [2020-11-11 02:03:54 main:574] : INFO : Epoch 146 | loss: 0.000122441 | val_loss: 0.000123361 | Time: 6300.49 ms [2020-11-11 02:04:01 main:574] : INFO : Epoch 147 | loss: 0.000119343 | val_loss: 0.000120786 | Time: 6871.21 ms [2020-11-11 02:04:08 main:574] : INFO : Epoch 148 | loss: 0.000116505 | val_loss: 0.000117529 | Time: 6927.78 ms [2020-11-11 02:04:15 main:574] : INFO : Epoch 149 | loss: 0.00011397 | val_loss: 0.000114356 | Time: 6978.42 ms [2020-11-11 02:04:21 main:574] : INFO : Epoch 150 | loss: 0.000110992 | val_loss: 0.000112812 | Time: 6695.32 ms [2020-11-11 02:04:27 main:574] : INFO : Epoch 151 | loss: 0.000109187 | val_loss: 0.000109266 | Time: 5856.7 ms [2020-11-11 02:04:33 main:574] : INFO : Epoch 152 | loss: 0.000106559 | val_loss: 0.000106601 | Time: 5710.35 ms [2020-11-11 02:04:39 main:574] : INFO : Epoch 153 | loss: 0.000103852 | val_loss: 0.000106045 | Time: 5605.72 ms [2020-11-11 02:04:45 main:574] : INFO : Epoch 154 | loss: 0.000101391 | val_loss: 0.000102009 | Time: 5914.25 ms [2020-11-11 02:04:52 main:574] : INFO : Epoch 155 | loss: 9.97827e-05 | val_loss: 0.00010055 | Time: 6975.72 ms [2020-11-11 02:04:59 main:574] : INFO : Epoch 156 | loss: 9.75782e-05 | val_loss: 9.76004e-05 | Time: 6925.42 ms [2020-11-11 02:05:06 main:574] : INFO : Epoch 157 | loss: 9.55627e-05 | val_loss: 9.69758e-05 | Time: 6962.3 ms [2020-11-11 02:05:13 main:574] : INFO : Epoch 158 | loss: 9.4e-05 | val_loss: 9.44403e-05 | Time: 6595.57 ms [2020-11-11 02:05:18 main:574] : INFO : Epoch 159 | loss: 9.1748e-05 | val_loss: 9.19985e-05 | Time: 5850.72 ms [2020-11-11 02:05:24 main:574] : INFO : Epoch 160 | loss: 9.00573e-05 | val_loss: 9.22279e-05 | Time: 5572.12 ms [2020-11-11 02:05:30 main:574] : INFO : Epoch 161 | loss: 8.84212e-05 | val_loss: 8.93791e-05 | Time: 5624.46 ms [2020-11-11 02:05:36 main:574] : INFO : Epoch 162 | loss: 8.69691e-05 | val_loss: 8.87421e-05 | Time: 6382.88 ms [2020-11-11 02:05:43 main:574] : INFO : Epoch 163 | loss: 8.51203e-05 | val_loss: 8.56508e-05 | Time: 6933.67 ms [2020-11-11 02:05:50 main:574] : INFO : Epoch 164 | loss: 8.32673e-05 | val_loss: 8.33121e-05 | Time: 6942.07 ms [2020-11-11 02:05:57 main:574] : INFO : Epoch 165 | loss: 8.17319e-05 | val_loss: 8.22462e-05 | Time: 6806.99 ms [2020-11-11 02:06:04 main:574] : INFO : Epoch 166 | loss: 8.01184e-05 | val_loss: 8.14154e-05 | Time: 6531.31 ms [2020-11-11 02:06:10 main:574] : INFO : Epoch 167 | loss: 7.86922e-05 | val_loss: 8.0315e-05 | Time: 5735.72 ms [2020-11-11 02:06:15 main:574] : INFO : Epoch 168 | loss: 7.77656e-05 | val_loss: 8.04302e-05 | Time: 5636.87 ms [2020-11-11 02:06:22 main:574] : INFO : Epoch 169 | loss: 7.63418e-05 | val_loss: 7.6599e-05 | Time: 6225.3 ms [2020-11-11 02:06:29 main:574] : INFO : Epoch 170 | loss: 7.48151e-05 | val_loss: 7.61646e-05 | Time: 6859.92 ms [2020-11-11 02:06:36 main:574] : INFO : Epoch 171 | loss: 7.35429e-05 | val_loss: 7.3707e-05 | Time: 7000.53 ms [2020-11-11 02:06:43 main:574] : INFO : Epoch 172 | loss: 7.24029e-05 | val_loss: 7.29051e-05 | Time: 6878.6 ms [2020-11-11 02:06:49 main:574] : INFO : Epoch 173 | loss: 7.13568e-05 | val_loss: 7.251e-05 | Time: 6555.2 ms [2020-11-11 02:06:55 main:574] : INFO : Epoch 174 | loss: 7.03836e-05 | val_loss: 7.05296e-05 | Time: 5748.73 ms [2020-11-11 02:07:01 main:574] : INFO : Epoch 175 | loss: 6.88542e-05 | val_loss: 6.97884e-05 | Time: 5651.69 ms [2020-11-11 02:07:07 main:574] : INFO : Epoch 176 | loss: 6.82433e-05 | val_loss: 7.02382e-05 | Time: 5726.37 ms [2020-11-11 02:07:13 main:574] : INFO : Epoch 177 | loss: 6.70709e-05 | val_loss: 6.72529e-05 | Time: 6695.06 ms [2020-11-11 02:07:20 main:574] : INFO : Epoch 178 | loss: 6.58919e-05 | val_loss: 6.83859e-05 | Time: 6938.12 ms [2020-11-11 02:07:27 main:574] : INFO : Epoch 179 | loss: 6.46875e-05 | val_loss: 6.54284e-05 | Time: 6869.57 ms [2020-11-11 02:07:34 main:574] : INFO : Epoch 180 | loss: 6.38138e-05 | val_loss: 6.50986e-05 | Time: 6765.59 ms [2020-11-11 02:07:41 main:574] : INFO : Epoch 181 | loss: 6.30079e-05 | val_loss: 6.55071e-05 | Time: 6309.46 ms [2020-11-11 02:07:47 main:574] : INFO : Epoch 182 | loss: 6.19253e-05 | val_loss: 6.36043e-05 | Time: 5772.96 ms [2020-11-11 02:07:52 main:574] : INFO : Epoch 183 | loss: 6.11568e-05 | val_loss: 6.23302e-05 | Time: 5626.19 ms [2020-11-11 02:07:58 main:574] : INFO : Epoch 184 | loss: 6.04694e-05 | val_loss: 6.05295e-05 | Time: 6088.82 ms [2020-11-11 02:08:05 main:574] : INFO : Epoch 185 | loss: 5.93855e-05 | val_loss: 6.13227e-05 | Time: 6918.32 ms [2020-11-11 02:08:12 main:574] : INFO : Epoch 186 | loss: 5.90395e-05 | val_loss: 6.05617e-05 | Time: 6898.05 ms [2020-11-11 02:08:19 main:574] : INFO : Epoch 187 | loss: 5.80337e-05 | val_loss: 5.93064e-05 | Time: 6873.17 ms [2020-11-11 02:08:26 main:574] : INFO : Epoch 188 | loss: 5.72675e-05 | val_loss: 5.80017e-05 | Time: 6651.36 ms [2020-11-11 02:08:32 main:574] : INFO : Epoch 189 | loss: 5.62156e-05 | val_loss: 5.92521e-05 | Time: 5746.89 ms [2020-11-11 02:08:38 main:574] : INFO : Epoch 190 | loss: 5.56213e-05 | val_loss: 5.64369e-05 | Time: 5653.26 ms [2020-11-11 02:08:44 main:574] : INFO : Epoch 191 | loss: 5.48182e-05 | val_loss: 5.49628e-05 | Time: 5964.73 ms [2020-11-11 02:08:51 main:574] : INFO : Epoch 192 | loss: 5.40564e-05 | val_loss: 5.7416e-05 | Time: 6895.69 ms [2020-11-11 02:08:51 main:597] : INFO : Saving trained model to model-final.pt, val_loss 5.7416e-05 [2020-11-11 02:08:51 main:603] : INFO : Saving end state to config to file [2020-11-11 02:08:51 main:608] : INFO : Success, exiting.. 02:08:51 (9780): 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)