| Name | rand_automata_0019-1604983201-28860-0_2 |
| Workunit | 1263706 |
| Created | 10 Nov 2020, 23:31:35 UTC |
| Sent | 10 Nov 2020, 23:35:37 UTC |
| Report deadline | 11 Nov 2020, 22:05:37 UTC |
| Received | 11 Nov 2020, 1:49:50 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 443 |
| Run time | 26 min 26 sec |
| CPU time | 25 min |
| Validate state | Valid |
| Credit | 959.40 |
| Device peak FLOPS | 9,073.48 GFLOPS |
| Application version | Machine Learning Dataset Generator (test) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 1.49 GB |
| Peak swap size | 3.21 GB |
| Peak disk usage | 1.54 GB |
<core_client_version>7.16.6</core_client_version> <![CDATA[ <stderr_txt> Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: GeForce GTX 1080) [2020-11-11 02:23:14 main:435] : INFO : Set logging level to 1 [2020-11-11 02:23:14 main:441] : INFO : Running in BOINC Client mode [2020-11-11 02:23:14 main:444] : INFO : Resolving all filenames [2020-11-11 02:23:14 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0019-train-val-dataset.hdf5 (exists = 1) [2020-11-11 02:23:14 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0019-1604983201-28860-0_2_r1165287541_1 (exists = 0) [2020-11-11 02:23:14 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0019-1604983201-28860-0_2_r1165287541_0 (exists = 0) [2020-11-11 02:23:14 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-11 02:23:14 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-11 02:23:14 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0019-train-val-dataset.hdf5 [2020-11-11 02:23:14 main:474] : INFO : Configuration: [2020-11-11 02:23:14 main:475] : INFO : Model type: LSTM [2020-11-11 02:23:14 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-11 02:23:14 main:477] : INFO : Max Epochs: 192 [2020-11-11 02:23:14 main:478] : INFO : Batch Size: 32 [2020-11-11 02:23:14 main:479] : INFO : Learning Rate: 0.001 [2020-11-11 02:23:14 main:480] : INFO : Patience: 10 [2020-11-11 02:23:14 main:481] : INFO : Hidden Width: 64 [2020-11-11 02:23:14 main:482] : INFO : # Recurrent Layers: 4 [2020-11-11 02:23:14 main:483] : INFO : # Backend Layers: 2 [2020-11-11 02:23:14 main:484] : INFO : # Threads: 1 [2020-11-11 02:23:14 main:486] : INFO : Preparing Dataset [2020-11-11 02:23:14 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0019-train-val-dataset.hdf5 into memory [2020-11-11 02:23:15 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0019-train-val-dataset.hdf5 into memory [2020-11-11 02:23:22 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-11 02:23:22 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0019-train-val-dataset.hdf5 into memory [2020-11-11 02:23:22 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0019-train-val-dataset.hdf5 into memory [2020-11-11 02:23:22 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-11 02:23:22 main:494] : INFO : Creating Model [2020-11-11 02:23:22 main:507] : INFO : Preparing config file [2020-11-11 02:23:22 main:519] : INFO : Creating new config file [2020-11-11 02:23:26 main:559] : INFO : Loading DataLoader into Memory [2020-11-11 02:23:26 main:562] : INFO : Starting Training [2020-11-11 02:23:36 main:574] : INFO : Epoch 1 | loss: 0.0656721 | val_loss: 0.06532 | Time: 9881.8 ms [2020-11-11 02:23:44 main:574] : INFO : Epoch 2 | loss: 0.0641084 | val_loss: 0.0625299 | Time: 8642.94 ms [2020-11-11 02:23:53 main:574] : INFO : Epoch 3 | loss: 0.0614719 | val_loss: 0.0602839 | Time: 8754.05 ms [2020-11-11 02:24:02 main:574] : INFO : Epoch 4 | loss: 0.0589954 | val_loss: 0.057962 | Time: 8718.58 ms [2020-11-11 02:24:11 main:574] : INFO : Epoch 5 | loss: 0.056842 | val_loss: 0.0559153 | Time: 8751.01 ms [2020-11-11 02:24:20 main:574] : INFO : Epoch 6 | loss: 0.0550268 | val_loss: 0.0545997 | Time: 8992.8 ms [2020-11-11 02:24:29 main:574] : INFO : Epoch 7 | loss: 0.0536423 | val_loss: 0.0532805 | Time: 9156.44 ms [2020-11-11 02:24:38 main:574] : INFO : Epoch 8 | loss: 0.052424 | val_loss: 0.0522399 | Time: 8952.18 ms [2020-11-11 02:24:47 main:574] : INFO : Epoch 9 | loss: 0.0512939 | val_loss: 0.0510281 | Time: 8935.23 ms [2020-11-11 02:24:56 main:574] : INFO : Epoch 10 | loss: 0.0502053 | val_loss: 0.0499839 | Time: 8933.58 ms [2020-11-11 02:25:04 main:574] : INFO : Epoch 11 | loss: 0.0490745 | val_loss: 0.0488229 | Time: 8454.51 ms [2020-11-11 02:25:13 main:574] : INFO : Epoch 12 | loss: 0.0479116 | val_loss: 0.0477121 | Time: 8710.12 ms [2020-11-11 02:25:22 main:574] : INFO : Epoch 13 | loss: 0.046635 | val_loss: 0.0464462 | Time: 8880.98 ms [2020-11-11 02:25:30 main:574] : INFO : Epoch 14 | loss: 0.0452451 | val_loss: 0.0450869 | Time: 8825.54 ms [2020-11-11 02:25:39 main:574] : INFO : Epoch 15 | loss: 0.0437386 | val_loss: 0.0438873 | Time: 8500.96 ms [2020-11-11 02:25:48 main:574] : INFO : Epoch 16 | loss: 0.0420698 | val_loss: 0.0419445 | Time: 8799.13 ms [2020-11-11 02:25:56 main:574] : INFO : Epoch 17 | loss: 0.0400368 | val_loss: 0.0398585 | Time: 8640.24 ms [2020-11-11 02:26:05 main:574] : INFO : Epoch 18 | loss: 0.0377242 | val_loss: 0.0373413 | Time: 8749.47 ms [2020-11-11 02:26:14 main:574] : INFO : Epoch 19 | loss: 0.0352616 | val_loss: 0.0356516 | Time: 8683.84 ms [2020-11-11 02:26:23 main:574] : INFO : Epoch 20 | loss: 0.0323579 | val_loss: 0.0324514 | Time: 8863.64 ms [2020-11-11 02:26:32 main:574] : INFO : Epoch 21 | loss: 0.0300932 | val_loss: 0.0367841 | Time: 8844.2 ms [2020-11-11 02:26:40 main:574] : INFO : Epoch 22 | loss: 0.0278441 | val_loss: 0.026763 | Time: 8787.92 ms [2020-11-11 02:26:49 main:574] : INFO : Epoch 23 | loss: 0.0249839 | val_loss: 0.0252209 | Time: 8896.64 ms [2020-11-11 02:26:58 main:574] : INFO : Epoch 24 | loss: 0.0246568 | val_loss: 0.0241464 | Time: 8719.67 ms [2020-11-11 02:27:07 main:574] : INFO : Epoch 25 | loss: 0.0302287 | val_loss: 0.0612778 | Time: 8767.78 ms [2020-11-11 02:27:16 main:574] : INFO : Epoch 26 | loss: 0.0584555 | val_loss: 0.0564909 | Time: 8880.65 ms [2020-11-11 02:27:25 main:574] : INFO : Epoch 27 | loss: 0.0538865 | val_loss: 0.0508783 | Time: 8801.59 ms [2020-11-11 02:27:33 main:574] : INFO : Epoch 28 | loss: 0.0440596 | val_loss: 0.0361565 | Time: 8806.45 ms [2020-11-11 02:27:42 main:574] : INFO : Epoch 29 | loss: 0.0293475 | val_loss: 0.0242745 | Time: 8850.44 ms [2020-11-11 02:27:51 main:574] : INFO : Epoch 30 | loss: 0.0214041 | val_loss: 0.0207468 | Time: 8729.09 ms [2020-11-11 02:28:00 main:574] : INFO : Epoch 31 | loss: 0.0202052 | val_loss: 0.021167 | Time: 8929.91 ms [2020-11-11 02:28:09 main:574] : INFO : Epoch 32 | loss: 0.0156433 | val_loss: 0.0160547 | Time: 8835.53 ms [2020-11-11 02:28:18 main:574] : INFO : Epoch 33 | loss: 0.0190122 | val_loss: 0.0166905 | Time: 8712.36 ms [2020-11-11 02:28:26 main:574] : INFO : Epoch 34 | loss: 0.0150882 | val_loss: 0.0132569 | Time: 8540.75 ms [2020-11-11 02:28:35 main:574] : INFO : Epoch 35 | loss: 0.0151154 | val_loss: 0.0357041 | Time: 8636.06 ms [2020-11-11 02:28:44 main:574] : INFO : Epoch 36 | loss: 0.0160815 | val_loss: 0.0130572 | Time: 8934.22 ms [2020-11-11 02:28:53 main:574] : INFO : Epoch 37 | loss: 0.0108834 | val_loss: 0.0108856 | Time: 8650.56 ms [2020-11-11 02:29:02 main:574] : INFO : Epoch 38 | loss: 0.0104403 | val_loss: 0.0101692 | Time: 9014.37 ms [2020-11-11 02:29:11 main:574] : INFO : Epoch 39 | loss: 0.0105234 | val_loss: 0.0114855 | Time: 8973.2 ms [2020-11-11 02:29:19 main:574] : INFO : Epoch 40 | loss: 0.015194 | val_loss: 0.0322928 | Time: 8410.3 ms [2020-11-11 02:29:28 main:574] : INFO : Epoch 41 | loss: 0.0151804 | val_loss: 0.0244136 | Time: 8671.62 ms [2020-11-11 02:29:36 main:574] : INFO : Epoch 42 | loss: 0.0121007 | val_loss: 0.00996295 | Time: 8819.53 ms [2020-11-11 02:29:45 main:574] : INFO : Epoch 43 | loss: 0.00889753 | val_loss: 0.00905109 | Time: 8483.71 ms [2020-11-11 02:29:54 main:574] : INFO : Epoch 44 | loss: 0.00837476 | val_loss: 0.00863333 | Time: 8838.93 ms [2020-11-11 02:30:02 main:574] : INFO : Epoch 45 | loss: 0.00796259 | val_loss: 0.00830638 | Time: 8573.78 ms [2020-11-11 02:30:11 main:574] : INFO : Epoch 46 | loss: 0.00765789 | val_loss: 0.00802356 | Time: 8391.43 ms [2020-11-11 02:30:19 main:574] : INFO : Epoch 47 | loss: 0.00745419 | val_loss: 0.0077129 | Time: 8453.57 ms [2020-11-11 02:30:28 main:574] : INFO : Epoch 48 | loss: 0.00932276 | val_loss: 0.011539 | Time: 8501.76 ms [2020-11-11 02:30:36 main:574] : INFO : Epoch 49 | loss: 0.00788494 | val_loss: 0.00738747 | Time: 8625.98 ms [2020-11-11 02:30:45 main:574] : INFO : Epoch 50 | loss: 0.00693153 | val_loss: 0.00712267 | Time: 8137.14 ms [2020-11-11 02:30:53 main:574] : INFO : Epoch 51 | loss: 0.0066324 | val_loss: 0.00689375 | Time: 8287.41 ms [2020-11-11 02:31:01 main:574] : INFO : Epoch 52 | loss: 0.00661267 | val_loss: 0.00676419 | Time: 8161.33 ms [2020-11-11 02:31:10 main:574] : INFO : Epoch 53 | loss: 0.00626147 | val_loss: 0.00643155 | Time: 8569.01 ms [2020-11-11 02:31:18 main:574] : INFO : Epoch 54 | loss: 0.00601759 | val_loss: 0.00621365 | Time: 8495.49 ms [2020-11-11 02:31:27 main:574] : INFO : Epoch 55 | loss: 0.00582823 | val_loss: 0.00603287 | Time: 8623.23 ms [2020-11-11 02:31:35 main:574] : INFO : Epoch 56 | loss: 0.00565456 | val_loss: 0.00584836 | Time: 8345.25 ms [2020-11-11 02:31:43 main:574] : INFO : Epoch 57 | loss: 0.0054693 | val_loss: 0.00565081 | Time: 8306.66 ms [2020-11-11 02:31:52 main:574] : INFO : Epoch 58 | loss: 0.0052991 | val_loss: 0.0054849 | Time: 8268.6 ms [2020-11-11 02:32:00 main:574] : INFO : Epoch 59 | loss: 0.00513265 | val_loss: 0.00530129 | Time: 8325.58 ms [2020-11-11 02:32:09 main:574] : INFO : Epoch 60 | loss: 0.0049664 | val_loss: 0.00511111 | Time: 8624.63 ms [2020-11-11 02:32:17 main:574] : INFO : Epoch 61 | loss: 0.004804 | val_loss: 0.00493635 | Time: 8297.86 ms [2020-11-11 02:32:25 main:574] : INFO : Epoch 62 | loss: 0.00464881 | val_loss: 0.00476223 | Time: 8352.5 ms [2020-11-11 02:32:34 main:574] : INFO : Epoch 63 | loss: 0.00448503 | val_loss: 0.00458331 | Time: 8417.18 ms [2020-11-11 02:32:42 main:574] : INFO : Epoch 64 | loss: 0.00433317 | val_loss: 0.00444769 | Time: 8324.4 ms [2020-11-11 02:32:51 main:574] : INFO : Epoch 65 | loss: 0.00418042 | val_loss: 0.0042449 | Time: 8405.92 ms [2020-11-11 02:32:59 main:574] : INFO : Epoch 66 | loss: 0.00403078 | val_loss: 0.00408692 | Time: 8403.26 ms [2020-11-11 02:33:08 main:574] : INFO : Epoch 67 | loss: 0.00387662 | val_loss: 0.00392322 | Time: 8623.36 ms [2020-11-11 02:33:16 main:574] : INFO : Epoch 68 | loss: 0.00373087 | val_loss: 0.00377641 | Time: 8361.3 ms [2020-11-11 02:33:24 main:574] : INFO : Epoch 69 | loss: 0.00358936 | val_loss: 0.00362257 | Time: 8228.44 ms [2020-11-11 02:33:32 main:574] : INFO : Epoch 70 | loss: 0.00345239 | val_loss: 0.00348415 | Time: 8076.61 ms [2020-11-11 02:33:41 main:574] : INFO : Epoch 71 | loss: 0.00331741 | val_loss: 0.00334345 | Time: 8511.82 ms [2020-11-11 02:33:49 main:574] : INFO : Epoch 72 | loss: 0.00318535 | val_loss: 0.00321049 | Time: 8353.55 ms [2020-11-11 02:33:58 main:574] : INFO : Epoch 73 | loss: 0.00305903 | val_loss: 0.0030809 | Time: 8435.76 ms [2020-11-11 02:34:06 main:574] : INFO : Epoch 74 | loss: 0.00293549 | val_loss: 0.00295496 | Time: 8452.74 ms [2020-11-11 02:34:14 main:574] : INFO : Epoch 75 | loss: 0.00281671 | val_loss: 0.00283254 | Time: 8243.38 ms [2020-11-11 02:34:23 main:574] : INFO : Epoch 76 | loss: 0.00270121 | val_loss: 0.00271293 | Time: 8137.84 ms [2020-11-11 02:34:31 main:574] : INFO : Epoch 77 | loss: 0.00258976 | val_loss: 0.00260332 | Time: 8346.37 ms [2020-11-11 02:34:39 main:574] : INFO : Epoch 78 | loss: 0.00248217 | val_loss: 0.00249457 | Time: 8568.61 ms [2020-11-11 02:34:48 main:574] : INFO : Epoch 79 | loss: 0.00237934 | val_loss: 0.0023884 | Time: 8343.63 ms [2020-11-11 02:34:56 main:574] : INFO : Epoch 80 | loss: 0.00227972 | val_loss: 0.00229091 | Time: 8380.75 ms [2020-11-11 02:35:04 main:574] : INFO : Epoch 81 | loss: 0.00218425 | val_loss: 0.00219448 | Time: 8198.55 ms [2020-11-11 02:35:13 main:574] : INFO : Epoch 82 | loss: 0.00209261 | val_loss: 0.00209949 | Time: 8390.73 ms [2020-11-11 02:35:21 main:574] : INFO : Epoch 83 | loss: 0.0020048 | val_loss: 0.00201269 | Time: 8606.84 ms [2020-11-11 02:35:30 main:574] : INFO : Epoch 84 | loss: 0.00192035 | val_loss: 0.00192994 | Time: 8398.29 ms [2020-11-11 02:35:38 main:574] : INFO : Epoch 85 | loss: 0.00183915 | val_loss: 0.00184875 | Time: 8348.47 ms [2020-11-11 02:35:47 main:574] : INFO : Epoch 86 | loss: 0.00176111 | val_loss: 0.00176905 | Time: 8346.85 ms [2020-11-11 02:35:55 main:574] : INFO : Epoch 87 | loss: 0.00168679 | val_loss: 0.0016963 | Time: 8150.15 ms [2020-11-11 02:36:03 main:574] : INFO : Epoch 88 | loss: 0.00161576 | val_loss: 0.00162271 | Time: 7948.79 ms [2020-11-11 02:36:11 main:574] : INFO : Epoch 89 | loss: 0.00154594 | val_loss: 0.00155498 | Time: 7982.98 ms [2020-11-11 02:36:19 main:574] : INFO : Epoch 90 | loss: 0.00148119 | val_loss: 0.00148933 | Time: 8216.94 ms [2020-11-11 02:36:27 main:574] : INFO : Epoch 91 | loss: 0.00141789 | val_loss: 0.00142716 | Time: 8225.16 ms [2020-11-11 02:36:35 main:574] : INFO : Epoch 92 | loss: 0.00135727 | val_loss: 0.00136697 | Time: 8035.26 ms [2020-11-11 02:36:43 main:574] : INFO : Epoch 93 | loss: 0.0013003 | val_loss: 0.00130993 | Time: 7939.07 ms [2020-11-11 02:36:51 main:574] : INFO : Epoch 94 | loss: 0.00124468 | val_loss: 0.0012546 | Time: 8062.29 ms [2020-11-11 02:36:59 main:574] : INFO : Epoch 95 | loss: 0.00119139 | val_loss: 0.00120158 | Time: 7934.53 ms [2020-11-11 02:37:07 main:574] : INFO : Epoch 96 | loss: 0.00114011 | val_loss: 0.00115344 | Time: 8120.98 ms [2020-11-11 02:37:15 main:574] : INFO : Epoch 97 | loss: 0.00109309 | val_loss: 0.00110218 | Time: 8039.11 ms [2020-11-11 02:37:24 main:574] : INFO : Epoch 98 | loss: 0.001046 | val_loss: 0.00105971 | Time: 8107.01 ms [2020-11-11 02:37:31 main:574] : INFO : Epoch 99 | loss: 0.00100122 | val_loss: 0.00101388 | Time: 7966.19 ms [2020-11-11 02:37:39 main:574] : INFO : Epoch 100 | loss: 0.000958977 | val_loss: 0.000969173 | Time: 7891.53 ms [2020-11-11 02:37:47 main:574] : INFO : Epoch 101 | loss: 0.000918032 | val_loss: 0.000930533 | Time: 8056.01 ms [2020-11-11 02:37:55 main:574] : INFO : Epoch 102 | loss: 0.000879528 | val_loss: 0.000888751 | Time: 7921.78 ms [2020-11-11 02:38:03 main:574] : INFO : Epoch 103 | loss: 0.00084233 | val_loss: 0.00085456 | Time: 8036.43 ms [2020-11-11 02:38:12 main:574] : INFO : Epoch 104 | loss: 0.0008067 | val_loss: 0.000817957 | Time: 8231.86 ms [2020-11-11 02:38:20 main:574] : INFO : Epoch 105 | loss: 0.000773708 | val_loss: 0.000784481 | Time: 7953.09 ms [2020-11-11 02:38:28 main:574] : INFO : Epoch 106 | loss: 0.00074157 | val_loss: 0.000752837 | Time: 8013.33 ms [2020-11-11 02:38:36 main:574] : INFO : Epoch 107 | loss: 0.000710573 | val_loss: 0.00072266 | Time: 8098.06 ms [2020-11-11 02:38:44 main:574] : INFO : Epoch 108 | loss: 0.000681589 | val_loss: 0.000691891 | Time: 8116.79 ms [2020-11-11 02:38:52 main:574] : INFO : Epoch 109 | loss: 0.000653839 | val_loss: 0.000664295 | Time: 7994.3 ms [2020-11-11 02:39:00 main:574] : INFO : Epoch 110 | loss: 0.000626991 | val_loss: 0.000636587 | Time: 8141.87 ms [2020-11-11 02:39:08 main:574] : INFO : Epoch 111 | loss: 0.000601702 | val_loss: 0.00061284 | Time: 8002.7 ms [2020-11-11 02:39:16 main:574] : INFO : Epoch 112 | loss: 0.000578027 | val_loss: 0.000587189 | Time: 7857.74 ms [2020-11-11 02:39:24 main:574] : INFO : Epoch 113 | loss: 0.000555151 | val_loss: 0.000564922 | Time: 7772 ms [2020-11-11 02:39:32 main:574] : INFO : Epoch 114 | loss: 0.000533138 | val_loss: 0.000541931 | Time: 7890.86 ms [2020-11-11 02:39:39 main:574] : INFO : Epoch 115 | loss: 0.000511369 | val_loss: 0.000519727 | Time: 7691.11 ms [2020-11-11 02:39:47 main:574] : INFO : Epoch 116 | loss: 0.000491324 | val_loss: 0.000501348 | Time: 7727.59 ms [2020-11-11 02:39:55 main:574] : INFO : Epoch 117 | loss: 0.000472551 | val_loss: 0.00048136 | Time: 7601.85 ms [2020-11-11 02:40:02 main:574] : INFO : Epoch 118 | loss: 0.000453397 | val_loss: 0.000464366 | Time: 7724.04 ms [2020-11-11 02:40:10 main:574] : INFO : Epoch 119 | loss: 0.000436367 | val_loss: 0.000447611 | Time: 7802.57 ms [2020-11-11 02:40:18 main:574] : INFO : Epoch 120 | loss: 0.000419136 | val_loss: 0.00043208 | Time: 7805.72 ms [2020-11-11 02:40:26 main:574] : INFO : Epoch 121 | loss: 0.000404053 | val_loss: 0.000412319 | Time: 7861.22 ms [2020-11-11 02:40:34 main:574] : INFO : Epoch 122 | loss: 0.000388152 | val_loss: 0.00039683 | Time: 7589.2 ms [2020-11-11 02:40:41 main:574] : INFO : Epoch 123 | loss: 0.000373931 | val_loss: 0.000384098 | Time: 7687.37 ms [2020-11-11 02:40:49 main:574] : INFO : Epoch 124 | loss: 0.000360439 | val_loss: 0.000368469 | Time: 7668.96 ms [2020-11-11 02:40:57 main:574] : INFO : Epoch 125 | loss: 0.000347847 | val_loss: 0.000356863 | Time: 7602.36 ms [2020-11-11 02:41:04 main:574] : INFO : Epoch 126 | loss: 0.000335527 | val_loss: 0.000345315 | Time: 7880.7 ms [2020-11-11 02:41:12 main:574] : INFO : Epoch 127 | loss: 0.000324003 | val_loss: 0.000332951 | Time: 7793.64 ms [2020-11-11 02:41:20 main:574] : INFO : Epoch 128 | loss: 0.000312821 | val_loss: 0.000321381 | Time: 7746.87 ms [2020-11-11 02:41:28 main:574] : INFO : Epoch 129 | loss: 0.000302207 | val_loss: 0.000310754 | Time: 7633.18 ms [2020-11-11 02:41:35 main:574] : INFO : Epoch 130 | loss: 0.000291877 | val_loss: 0.000301801 | Time: 7635.07 ms [2020-11-11 02:41:43 main:574] : INFO : Epoch 131 | loss: 0.000283017 | val_loss: 0.000291629 | Time: 7642.84 ms [2020-11-11 02:41:51 main:574] : INFO : Epoch 132 | loss: 0.000274178 | val_loss: 0.000282239 | Time: 7656.78 ms [2020-11-11 02:41:58 main:574] : INFO : Epoch 133 | loss: 0.000265855 | val_loss: 0.000274744 | Time: 7861.25 ms [2020-11-11 02:42:06 main:574] : INFO : Epoch 134 | loss: 0.000258136 | val_loss: 0.000267209 | Time: 7685.32 ms [2020-11-11 02:42:14 main:574] : INFO : Epoch 135 | loss: 0.000250688 | val_loss: 0.000261201 | Time: 7721.55 ms [2020-11-11 02:42:21 main:574] : INFO : Epoch 136 | loss: 0.000243734 | val_loss: 0.000252865 | Time: 7602.76 ms [2020-11-11 02:42:29 main:574] : INFO : Epoch 137 | loss: 0.000236478 | val_loss: 0.00024476 | Time: 7667.63 ms [2020-11-11 02:42:37 main:574] : INFO : Epoch 138 | loss: 0.000229976 | val_loss: 0.000239198 | Time: 7325.26 ms [2020-11-11 02:42:44 main:574] : INFO : Epoch 139 | loss: 0.000223701 | val_loss: 0.000231986 | Time: 7926.82 ms [2020-11-11 02:42:52 main:574] : INFO : Epoch 140 | loss: 0.000218596 | val_loss: 0.000227458 | Time: 7906.18 ms [2020-11-11 02:43:00 main:574] : INFO : Epoch 141 | loss: 0.000212277 | val_loss: 0.000219843 | Time: 7616.07 ms [2020-11-11 02:43:08 main:574] : INFO : Epoch 142 | loss: 0.000206367 | val_loss: 0.000215443 | Time: 7722.46 ms [2020-11-11 02:43:16 main:574] : INFO : Epoch 143 | loss: 0.000201336 | val_loss: 0.000209779 | Time: 7804.39 ms [2020-11-11 02:43:23 main:574] : INFO : Epoch 144 | loss: 0.000196763 | val_loss: 0.000205281 | Time: 7798.17 ms [2020-11-11 02:43:31 main:574] : INFO : Epoch 145 | loss: 0.000192136 | val_loss: 0.000199144 | Time: 7711.98 ms [2020-11-11 02:43:39 main:574] : INFO : Epoch 146 | loss: 0.000187113 | val_loss: 0.000196703 | Time: 7893.18 ms [2020-11-11 02:43:47 main:574] : INFO : Epoch 147 | loss: 0.000183115 | val_loss: 0.000192713 | Time: 7721.64 ms [2020-11-11 02:43:54 main:574] : INFO : Epoch 148 | loss: 0.000178473 | val_loss: 0.000187981 | Time: 7682.09 ms [2020-11-11 02:44:02 main:574] : INFO : Epoch 149 | loss: 0.000174612 | val_loss: 0.00018207 | Time: 7805.61 ms [2020-11-11 02:44:10 main:574] : INFO : Epoch 150 | loss: 0.000170307 | val_loss: 0.000178283 | Time: 7944.82 ms [2020-11-11 02:44:18 main:574] : INFO : Epoch 151 | loss: 0.000167041 | val_loss: 0.000173948 | Time: 7686.16 ms [2020-11-11 02:44:26 main:574] : INFO : Epoch 152 | loss: 0.000162994 | val_loss: 0.000172648 | Time: 7832.03 ms [2020-11-11 02:44:33 main:574] : INFO : Epoch 153 | loss: 0.000159969 | val_loss: 0.000168038 | Time: 7749.31 ms [2020-11-11 02:44:41 main:574] : INFO : Epoch 154 | loss: 0.000156871 | val_loss: 0.000164663 | Time: 7671.64 ms [2020-11-11 02:44:49 main:574] : INFO : Epoch 155 | loss: 0.00015282 | val_loss: 0.000161017 | Time: 7814.08 ms [2020-11-11 02:44:57 main:574] : INFO : Epoch 156 | loss: 0.000149813 | val_loss: 0.000156841 | Time: 7856.8 ms [2020-11-11 02:45:05 main:574] : INFO : Epoch 157 | loss: 0.000146968 | val_loss: 0.000153958 | Time: 8049.6 ms [2020-11-11 02:45:13 main:574] : INFO : Epoch 158 | loss: 0.000144026 | val_loss: 0.000152134 | Time: 7706.97 ms [2020-11-11 02:45:20 main:574] : INFO : Epoch 159 | loss: 0.000141332 | val_loss: 0.000148721 | Time: 7802.06 ms [2020-11-11 02:45:28 main:574] : INFO : Epoch 160 | loss: 0.000138495 | val_loss: 0.00014517 | Time: 7682.79 ms [2020-11-11 02:45:36 main:574] : INFO : Epoch 161 | loss: 0.000135613 | val_loss: 0.000142322 | Time: 7608.4 ms [2020-11-11 02:45:44 main:574] : INFO : Epoch 162 | loss: 0.000133082 | val_loss: 0.000141149 | Time: 7960.67 ms [2020-11-11 02:45:52 main:574] : INFO : Epoch 163 | loss: 0.000130589 | val_loss: 0.00013718 | Time: 7936.96 ms [2020-11-11 02:45:59 main:574] : INFO : Epoch 164 | loss: 0.000128491 | val_loss: 0.00013571 | Time: 7825.05 ms [2020-11-11 02:46:07 main:574] : INFO : Epoch 165 | loss: 0.000126124 | val_loss: 0.000134293 | Time: 7697.72 ms [2020-11-11 02:46:15 main:574] : INFO : Epoch 166 | loss: 0.000124099 | val_loss: 0.000130533 | Time: 7701.54 ms [2020-11-11 02:46:23 main:574] : INFO : Epoch 167 | loss: 0.000121672 | val_loss: 0.000129065 | Time: 7747.51 ms [2020-11-11 02:46:31 main:574] : INFO : Epoch 168 | loss: 0.000119623 | val_loss: 0.000126133 | Time: 7854.93 ms [2020-11-11 02:46:39 main:574] : INFO : Epoch 169 | loss: 0.000117517 | val_loss: 0.000125147 | Time: 7991.68 ms [2020-11-11 02:46:46 main:574] : INFO : Epoch 170 | loss: 0.000115786 | val_loss: 0.000123895 | Time: 7773.5 ms [2020-11-11 02:46:54 main:574] : INFO : Epoch 171 | loss: 0.000113891 | val_loss: 0.000119559 | Time: 7711.88 ms [2020-11-11 02:47:02 main:574] : INFO : Epoch 172 | loss: 0.000111758 | val_loss: 0.000120381 | Time: 7730.12 ms [2020-11-11 02:47:10 main:574] : INFO : Epoch 173 | loss: 0.000110158 | val_loss: 0.00011651 | Time: 7836.81 ms [2020-11-11 02:47:17 main:574] : INFO : Epoch 174 | loss: 0.000108222 | val_loss: 0.000115635 | Time: 7673.95 ms [2020-11-11 02:47:25 main:574] : INFO : Epoch 175 | loss: 0.000106437 | val_loss: 0.000112482 | Time: 7845.44 ms [2020-11-11 02:47:33 main:574] : INFO : Epoch 176 | loss: 0.000105155 | val_loss: 0.000111313 | Time: 7909.15 ms [2020-11-11 02:47:41 main:574] : INFO : Epoch 177 | loss: 0.000103033 | val_loss: 0.000109606 | Time: 7686.33 ms [2020-11-11 02:47:49 main:574] : INFO : Epoch 178 | loss: 0.000101999 | val_loss: 0.000108087 | Time: 7675.26 ms [2020-11-11 02:47:57 main:574] : INFO : Epoch 179 | loss: 0.00010056 | val_loss: 0.000107621 | Time: 7969.43 ms [2020-11-11 02:48:04 main:574] : INFO : Epoch 180 | loss: 9.87711e-05 | val_loss: 0.000105607 | Time: 7769.73 ms [2020-11-11 02:48:12 main:574] : INFO : Epoch 181 | loss: 9.7655e-05 | val_loss: 0.000104232 | Time: 7749.05 ms [2020-11-11 02:48:20 main:574] : INFO : Epoch 182 | loss: 9.56802e-05 | val_loss: 0.000101556 | Time: 7840.14 ms [2020-11-11 02:48:28 main:574] : INFO : Epoch 183 | loss: 9.54037e-05 | val_loss: 0.000101252 | Time: 7626.17 ms [2020-11-11 02:48:35 main:574] : INFO : Epoch 184 | loss: 9.34668e-05 | val_loss: 9.97377e-05 | Time: 7740.85 ms [2020-11-11 02:48:43 main:574] : INFO : Epoch 185 | loss: 9.23436e-05 | val_loss: 9.90179e-05 | Time: 7784.06 ms [2020-11-11 02:48:51 main:574] : INFO : Epoch 186 | loss: 9.16006e-05 | val_loss: 9.71265e-05 | Time: 7923.29 ms [2020-11-11 02:48:59 main:574] : INFO : Epoch 187 | loss: 8.95416e-05 | val_loss: 9.46808e-05 | Time: 7737.59 ms [2020-11-11 02:49:07 main:574] : INFO : Epoch 188 | loss: 8.87252e-05 | val_loss: 9.50906e-05 | Time: 7809.9 ms [2020-11-11 02:49:14 main:574] : INFO : Epoch 189 | loss: 8.71941e-05 | val_loss: 9.36946e-05 | Time: 7763.39 ms [2020-11-11 02:49:22 main:574] : INFO : Epoch 190 | loss: 8.66785e-05 | val_loss: 9.29708e-05 | Time: 7773.79 ms [2020-11-11 02:49:30 main:574] : INFO : Epoch 191 | loss: 8.52278e-05 | val_loss: 9.12104e-05 | Time: 7568.81 ms [2020-11-11 02:49:37 main:574] : INFO : Epoch 192 | loss: 8.42182e-05 | val_loss: 9.05439e-05 | Time: 7313.95 ms [2020-11-11 02:49:37 main:597] : INFO : Saving trained model to model-final.pt, val_loss 9.05439e-05 [2020-11-11 02:49:37 main:603] : INFO : Saving end state to config to file [2020-11-11 02:49:37 main:608] : INFO : Success, exiting.. 02:49:37 (2668): 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)