Task 2946844
| Name | rand_automata_0006-1605426519-14517-0_1 |
| Workunit | 1329207 |
| Created | 15 Nov 2020, 7:48:42 UTC |
| Sent | 18 Nov 2020, 7:20:52 UTC |
| Report deadline | 26 Nov 2020, 7:20:52 UTC |
| Received | 18 Nov 2020, 7:51:55 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 3682 |
| Run time | 15 min 25 sec |
| CPU time | 14 min 19 sec |
| Validate state | Valid |
| Credit | 959.40 |
| Device peak FLOPS | 11,978.66 GFLOPS |
| Application version | Machine Learning Dataset Generator (GPU) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 1.49 GB |
| Peak swap size | 3.25 GB |
| Peak disk usage | 1.54 GB |
Stderr output
<core_client_version>7.16.5</core_client_version> <![CDATA[ <stderr_txt> Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: GeForce GTX 1080 Ti) [2020-11-18 02:23:50 main:435] : INFO : Set logging level to 1 [2020-11-18 02:23:50 main:441] : INFO : Running in BOINC Client mode [2020-11-18 02:23:51 main:444] : INFO : Resolving all filenames [2020-11-18 02:23:51 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0006-train-val-dataset.hdf5 (exists = 1) [2020-11-18 02:23:51 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0006-1605426519-14517-0_1_r134706200_1 (exists = 0) [2020-11-18 02:23:51 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0006-1605426519-14517-0_1_r134706200_0 (exists = 0) [2020-11-18 02:23:51 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-18 02:23:51 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-18 02:23:51 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0006-train-val-dataset.hdf5 [2020-11-18 02:23:51 main:474] : INFO : Configuration: [2020-11-18 02:23:51 main:475] : INFO : Model type: LSTM [2020-11-18 02:23:51 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-18 02:23:51 main:477] : INFO : Max Epochs: 192 [2020-11-18 02:23:51 main:478] : INFO : Batch Size: 32 [2020-11-18 02:23:51 main:479] : INFO : Learning Rate: 0.001 [2020-11-18 02:23:51 main:480] : INFO : Patience: 10 [2020-11-18 02:23:51 main:481] : INFO : Hidden Width: 64 [2020-11-18 02:23:51 main:482] : INFO : # Recurrent Layers: 4 [2020-11-18 02:23:51 main:483] : INFO : # Backend Layers: 2 [2020-11-18 02:23:52 main:484] : INFO : # Threads: 1 [2020-11-18 02:23:52 main:486] : INFO : Preparing Dataset [2020-11-18 02:23:52 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0006-train-val-dataset.hdf5 into memory [2020-11-18 02:23:52 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0006-train-val-dataset.hdf5 into memory [2020-11-18 02:23:54 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-18 02:23:54 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0006-train-val-dataset.hdf5 into memory [2020-11-18 02:23:54 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0006-train-val-dataset.hdf5 into memory [2020-11-18 02:23:54 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-18 02:23:54 main:494] : INFO : Creating Model [2020-11-18 02:23:54 main:507] : INFO : Preparing config file [2020-11-18 02:23:54 main:519] : INFO : Creating new config file [2020-11-18 02:23:56 main:559] : INFO : Loading DataLoader into Memory [2020-11-18 02:23:56 main:562] : INFO : Starting Training [2020-11-18 02:24:02 main:574] : INFO : Epoch 1 | loss: 0.0665949 | val_loss: 0.0659657 | Time: 5517.04 ms [2020-11-18 02:24:06 main:574] : INFO : Epoch 2 | loss: 0.0659518 | val_loss: 0.0657791 | Time: 4333.38 ms [2020-11-18 02:24:10 main:574] : INFO : Epoch 3 | loss: 0.064929 | val_loss: 0.0639796 | Time: 4474.83 ms [2020-11-18 02:24:15 main:574] : INFO : Epoch 4 | loss: 0.0626235 | val_loss: 0.0611915 | Time: 4495.91 ms [2020-11-18 02:24:20 main:574] : INFO : Epoch 5 | loss: 0.0601484 | val_loss: 0.0591074 | Time: 4457.78 ms [2020-11-18 02:24:24 main:574] : INFO : Epoch 6 | loss: 0.0583361 | val_loss: 0.0576118 | Time: 4538.06 ms [2020-11-18 02:24:29 main:574] : INFO : Epoch 7 | loss: 0.0569682 | val_loss: 0.0563695 | Time: 4435.01 ms [2020-11-18 02:24:33 main:574] : INFO : Epoch 8 | loss: 0.0558689 | val_loss: 0.0553186 | Time: 4550.29 ms [2020-11-18 02:24:38 main:574] : INFO : Epoch 9 | loss: 0.0548527 | val_loss: 0.0543305 | Time: 4522.65 ms [2020-11-18 02:24:43 main:574] : INFO : Epoch 10 | loss: 0.0537975 | val_loss: 0.05308 | Time: 4515.04 ms [2020-11-18 02:24:47 main:574] : INFO : Epoch 11 | loss: 0.0526319 | val_loss: 0.0521875 | Time: 4485.59 ms [2020-11-18 02:24:52 main:574] : INFO : Epoch 12 | loss: 0.0514144 | val_loss: 0.0507171 | Time: 4453.64 ms [2020-11-18 02:24:56 main:574] : INFO : Epoch 13 | loss: 0.0499696 | val_loss: 0.0492115 | Time: 4524.06 ms [2020-11-18 02:25:01 main:574] : INFO : Epoch 14 | loss: 0.048488 | val_loss: 0.0478666 | Time: 4540.38 ms [2020-11-18 02:25:05 main:574] : INFO : Epoch 15 | loss: 0.0468103 | val_loss: 0.0464874 | Time: 4497.71 ms [2020-11-18 02:25:10 main:574] : INFO : Epoch 16 | loss: 0.0449831 | val_loss: 0.0442908 | Time: 4429.55 ms [2020-11-18 02:25:15 main:574] : INFO : Epoch 17 | loss: 0.0429687 | val_loss: 0.0422167 | Time: 4518.63 ms [2020-11-18 02:25:19 main:574] : INFO : Epoch 18 | loss: 0.0409878 | val_loss: 0.040837 | Time: 4510.18 ms [2020-11-18 02:25:24 main:574] : INFO : Epoch 19 | loss: 0.0387413 | val_loss: 0.0388775 | Time: 4507.29 ms [2020-11-18 02:25:28 main:574] : INFO : Epoch 20 | loss: 0.036355 | val_loss: 0.0375438 | Time: 4521.82 ms [2020-11-18 02:25:33 main:574] : INFO : Epoch 21 | loss: 0.0348799 | val_loss: 0.0358132 | Time: 4473.8 ms [2020-11-18 02:25:37 main:574] : INFO : Epoch 22 | loss: 0.0328786 | val_loss: 0.0366311 | Time: 4467.56 ms [2020-11-18 02:25:42 main:574] : INFO : Epoch 23 | loss: 0.0334358 | val_loss: 0.0316016 | Time: 4506.8 ms [2020-11-18 02:25:47 main:574] : INFO : Epoch 24 | loss: 0.0288807 | val_loss: 0.027063 | Time: 4481.13 ms [2020-11-18 02:25:51 main:574] : INFO : Epoch 25 | loss: 0.0489424 | val_loss: 0.0471717 | Time: 4482.07 ms [2020-11-18 02:25:56 main:574] : INFO : Epoch 26 | loss: 0.0355324 | val_loss: 0.0321188 | Time: 4516.16 ms [2020-11-18 02:26:00 main:574] : INFO : Epoch 27 | loss: 0.0285143 | val_loss: 0.0293951 | Time: 4524.3 ms [2020-11-18 02:26:05 main:574] : INFO : Epoch 28 | loss: 0.0236486 | val_loss: 0.0322443 | Time: 4497.51 ms [2020-11-18 02:26:09 main:574] : INFO : Epoch 29 | loss: 0.0580956 | val_loss: 0.053381 | Time: 4473.92 ms [2020-11-18 02:26:14 main:574] : INFO : Epoch 30 | loss: 0.0426731 | val_loss: 0.0298675 | Time: 4468.31 ms [2020-11-18 02:26:19 main:574] : INFO : Epoch 31 | loss: 0.0248216 | val_loss: 0.0225179 | Time: 4477.26 ms [2020-11-18 02:26:23 main:574] : INFO : Epoch 32 | loss: 0.0224594 | val_loss: 0.0240006 | Time: 4522.79 ms [2020-11-18 02:26:28 main:574] : INFO : Epoch 33 | loss: 0.0208696 | val_loss: 0.025959 | Time: 4463.94 ms [2020-11-18 02:26:32 main:574] : INFO : Epoch 34 | loss: 0.020324 | val_loss: 0.0173667 | Time: 4515.33 ms [2020-11-18 02:26:37 main:574] : INFO : Epoch 35 | loss: 0.0167516 | val_loss: 0.0247093 | Time: 4470.09 ms [2020-11-18 02:26:41 main:574] : INFO : Epoch 36 | loss: 0.0172196 | val_loss: 0.0141955 | Time: 4501.14 ms [2020-11-18 02:26:46 main:574] : INFO : Epoch 37 | loss: 0.016067 | val_loss: 0.0163757 | Time: 4477.02 ms [2020-11-18 02:26:51 main:574] : INFO : Epoch 38 | loss: 0.0132127 | val_loss: 0.0138154 | Time: 4582.48 ms [2020-11-18 02:26:55 main:574] : INFO : Epoch 39 | loss: 0.0124762 | val_loss: 0.0153375 | Time: 4485.96 ms [2020-11-18 02:27:00 main:574] : INFO : Epoch 40 | loss: 0.0403598 | val_loss: 0.022309 | Time: 4513.94 ms [2020-11-18 02:27:05 main:574] : INFO : Epoch 41 | loss: 0.0212566 | val_loss: 0.0157549 | Time: 4815.04 ms [2020-11-18 02:27:09 main:574] : INFO : Epoch 42 | loss: 0.012987 | val_loss: 0.012009 | Time: 4530.27 ms [2020-11-18 02:27:14 main:574] : INFO : Epoch 43 | loss: 0.010922 | val_loss: 0.0109125 | Time: 4572.66 ms [2020-11-18 02:27:19 main:574] : INFO : Epoch 44 | loss: 0.0105694 | val_loss: 0.0132522 | Time: 4574.69 ms [2020-11-18 02:27:23 main:574] : INFO : Epoch 45 | loss: 0.0109298 | val_loss: 0.00989558 | Time: 4549.79 ms [2020-11-18 02:27:28 main:574] : INFO : Epoch 46 | loss: 0.00981263 | val_loss: 0.0097758 | Time: 4469.06 ms [2020-11-18 02:27:33 main:574] : INFO : Epoch 47 | loss: 0.0090649 | val_loss: 0.00911661 | Time: 4500.5 ms [2020-11-18 02:27:37 main:574] : INFO : Epoch 48 | loss: 0.00911274 | val_loss: 0.00878164 | Time: 4557.92 ms [2020-11-18 02:27:42 main:574] : INFO : Epoch 49 | loss: 0.00846193 | val_loss: 0.00910871 | Time: 4511.62 ms [2020-11-18 02:27:46 main:574] : INFO : Epoch 50 | loss: 0.00829695 | val_loss: 0.00833195 | Time: 4510.09 ms [2020-11-18 02:27:51 main:574] : INFO : Epoch 51 | loss: 0.00794188 | val_loss: 0.00801716 | Time: 4554.94 ms [2020-11-18 02:27:56 main:574] : INFO : Epoch 52 | loss: 0.00770495 | val_loss: 0.00781544 | Time: 4532.56 ms [2020-11-18 02:28:00 main:574] : INFO : Epoch 53 | loss: 0.00759312 | val_loss: 0.00761227 | Time: 4513.66 ms [2020-11-18 02:28:05 main:574] : INFO : Epoch 54 | loss: 0.00733016 | val_loss: 0.00792457 | Time: 4476.06 ms [2020-11-18 02:28:09 main:574] : INFO : Epoch 55 | loss: 0.00721842 | val_loss: 0.00718128 | Time: 4516.65 ms [2020-11-18 02:28:14 main:574] : INFO : Epoch 56 | loss: 0.00691609 | val_loss: 0.0069568 | Time: 4488.64 ms [2020-11-18 02:28:18 main:574] : INFO : Epoch 57 | loss: 0.00670041 | val_loss: 0.00685161 | Time: 4533.97 ms [2020-11-18 02:28:23 main:574] : INFO : Epoch 58 | loss: 0.00651244 | val_loss: 0.00655872 | Time: 4495.65 ms [2020-11-18 02:28:28 main:574] : INFO : Epoch 59 | loss: 0.00636778 | val_loss: 0.0063836 | Time: 4506.84 ms [2020-11-18 02:28:32 main:574] : INFO : Epoch 60 | loss: 0.00613684 | val_loss: 0.00615197 | Time: 4485.47 ms [2020-11-18 02:28:37 main:574] : INFO : Epoch 61 | loss: 0.005933 | val_loss: 0.00597335 | Time: 4476.73 ms [2020-11-18 02:28:41 main:574] : INFO : Epoch 62 | loss: 0.00575224 | val_loss: 0.00577281 | Time: 4546.37 ms [2020-11-18 02:28:46 main:574] : INFO : Epoch 63 | loss: 0.00557601 | val_loss: 0.00559858 | Time: 4510.94 ms [2020-11-18 02:28:51 main:574] : INFO : Epoch 64 | loss: 0.00540459 | val_loss: 0.00538396 | Time: 4523.46 ms [2020-11-18 02:28:55 main:574] : INFO : Epoch 65 | loss: 0.00523433 | val_loss: 0.00520276 | Time: 4437.96 ms [2020-11-18 02:29:00 main:574] : INFO : Epoch 66 | loss: 0.00506716 | val_loss: 0.00503711 | Time: 4473.97 ms [2020-11-18 02:29:04 main:574] : INFO : Epoch 67 | loss: 0.00490254 | val_loss: 0.00486936 | Time: 4576.09 ms [2020-11-18 02:29:09 main:574] : INFO : Epoch 68 | loss: 0.00474148 | val_loss: 0.00470595 | Time: 4484.93 ms [2020-11-18 02:29:13 main:574] : INFO : Epoch 69 | loss: 0.00458191 | val_loss: 0.00454153 | Time: 4478.54 ms [2020-11-18 02:29:18 main:574] : INFO : Epoch 70 | loss: 0.00442503 | val_loss: 0.00438302 | Time: 4479.03 ms [2020-11-18 02:29:23 main:574] : INFO : Epoch 71 | loss: 0.0042731 | val_loss: 0.00423213 | Time: 4501.93 ms [2020-11-18 02:29:27 main:574] : INFO : Epoch 72 | loss: 0.00412165 | val_loss: 0.00407517 | Time: 4495.88 ms [2020-11-18 02:29:32 main:574] : INFO : Epoch 73 | loss: 0.00397379 | val_loss: 0.00392914 | Time: 4510.29 ms [2020-11-18 02:29:36 main:574] : INFO : Epoch 74 | loss: 0.0038307 | val_loss: 0.0037835 | Time: 4537.29 ms [2020-11-18 02:29:41 main:574] : INFO : Epoch 75 | loss: 0.00368998 | val_loss: 0.00364186 | Time: 4531.34 ms [2020-11-18 02:29:46 main:574] : INFO : Epoch 76 | loss: 0.00355223 | val_loss: 0.00350787 | Time: 4524.28 ms [2020-11-18 02:29:50 main:574] : INFO : Epoch 77 | loss: 0.00341728 | val_loss: 0.00337294 | Time: 4534.8 ms [2020-11-18 02:29:55 main:574] : INFO : Epoch 78 | loss: 0.00328679 | val_loss: 0.00324473 | Time: 4484.05 ms [2020-11-18 02:29:59 main:574] : INFO : Epoch 79 | loss: 0.00315956 | val_loss: 0.0031189 | Time: 4501.88 ms [2020-11-18 02:30:04 main:574] : INFO : Epoch 80 | loss: 0.00303567 | val_loss: 0.00298746 | Time: 4432.37 ms [2020-11-18 02:30:09 main:574] : INFO : Epoch 81 | loss: 0.0029154 | val_loss: 0.00287054 | Time: 4548.5 ms [2020-11-18 02:30:13 main:574] : INFO : Epoch 82 | loss: 0.00279894 | val_loss: 0.00275286 | Time: 4454.99 ms [2020-11-18 02:30:18 main:574] : INFO : Epoch 83 | loss: 0.00268631 | val_loss: 0.00263974 | Time: 4465.99 ms [2020-11-18 02:30:22 main:574] : INFO : Epoch 84 | loss: 0.00257783 | val_loss: 0.00253208 | Time: 4560.26 ms [2020-11-18 02:30:27 main:574] : INFO : Epoch 85 | loss: 0.00247183 | val_loss: 0.0024291 | Time: 4500.65 ms [2020-11-18 02:30:31 main:574] : INFO : Epoch 86 | loss: 0.00237018 | val_loss: 0.00233142 | Time: 4523.89 ms [2020-11-18 02:30:36 main:574] : INFO : Epoch 87 | loss: 0.00227192 | val_loss: 0.00223063 | Time: 4498.44 ms [2020-11-18 02:30:41 main:574] : INFO : Epoch 88 | loss: 0.00217538 | val_loss: 0.00213952 | Time: 4497.26 ms [2020-11-18 02:30:45 main:574] : INFO : Epoch 89 | loss: 0.00208426 | val_loss: 0.00204916 | Time: 4522.8 ms [2020-11-18 02:30:50 main:574] : INFO : Epoch 90 | loss: 0.00199651 | val_loss: 0.00196037 | Time: 4523.8 ms [2020-11-18 02:30:54 main:574] : INFO : Epoch 91 | loss: 0.0019115 | val_loss: 0.00187998 | Time: 4555.83 ms [2020-11-18 02:30:59 main:574] : INFO : Epoch 92 | loss: 0.00182964 | val_loss: 0.00180084 | Time: 4564.88 ms [2020-11-18 02:31:04 main:574] : INFO : Epoch 93 | loss: 0.00175212 | val_loss: 0.00171995 | Time: 4469.87 ms [2020-11-18 02:31:08 main:574] : INFO : Epoch 94 | loss: 0.00167742 | val_loss: 0.0016489 | Time: 4526.76 ms [2020-11-18 02:31:13 main:574] : INFO : Epoch 95 | loss: 0.00160394 | val_loss: 0.00158039 | Time: 4508.63 ms [2020-11-18 02:31:17 main:574] : INFO : Epoch 96 | loss: 0.0015353 | val_loss: 0.00150832 | Time: 4532.48 ms [2020-11-18 02:31:22 main:574] : INFO : Epoch 97 | loss: 0.00146959 | val_loss: 0.00145064 | Time: 4497.24 ms [2020-11-18 02:31:27 main:574] : INFO : Epoch 98 | loss: 0.0014066 | val_loss: 0.00138362 | Time: 4508.45 ms [2020-11-18 02:31:31 main:574] : INFO : Epoch 99 | loss: 0.00134567 | val_loss: 0.00132348 | Time: 4524.66 ms [2020-11-18 02:31:36 main:574] : INFO : Epoch 100 | loss: 0.00128715 | val_loss: 0.00126548 | Time: 4512.71 ms [2020-11-18 02:31:40 main:574] : INFO : Epoch 101 | loss: 0.00123209 | val_loss: 0.00121401 | Time: 4510.67 ms [2020-11-18 02:31:45 main:574] : INFO : Epoch 102 | loss: 0.00117912 | val_loss: 0.00115922 | Time: 4538.68 ms [2020-11-18 02:31:50 main:574] : INFO : Epoch 103 | loss: 0.00112875 | val_loss: 0.00111266 | Time: 4524.9 ms [2020-11-18 02:31:54 main:574] : INFO : Epoch 104 | loss: 0.00108028 | val_loss: 0.00106221 | Time: 4544.15 ms [2020-11-18 02:31:59 main:574] : INFO : Epoch 105 | loss: 0.00103355 | val_loss: 0.00101908 | Time: 4597.24 ms [2020-11-18 02:32:03 main:574] : INFO : Epoch 106 | loss: 0.000989764 | val_loss: 0.00097441 | Time: 4512.09 ms [2020-11-18 02:32:08 main:574] : INFO : Epoch 107 | loss: 0.00094753 | val_loss: 0.000931684 | Time: 4493.02 ms [2020-11-18 02:32:13 main:574] : INFO : Epoch 108 | loss: 0.00090715 | val_loss: 0.000893434 | Time: 4544.96 ms [2020-11-18 02:32:17 main:574] : INFO : Epoch 109 | loss: 0.000868327 | val_loss: 0.000856499 | Time: 4515.75 ms [2020-11-18 02:32:22 main:574] : INFO : Epoch 110 | loss: 0.000832397 | val_loss: 0.000817997 | Time: 4517.72 ms [2020-11-18 02:32:26 main:574] : INFO : Epoch 111 | loss: 0.000797757 | val_loss: 0.000787636 | Time: 4527.44 ms [2020-11-18 02:32:31 main:574] : INFO : Epoch 112 | loss: 0.000765417 | val_loss: 0.000753731 | Time: 4523.9 ms [2020-11-18 02:32:36 main:574] : INFO : Epoch 113 | loss: 0.000734523 | val_loss: 0.000723596 | Time: 4508.25 ms [2020-11-18 02:32:40 main:574] : INFO : Epoch 114 | loss: 0.000703612 | val_loss: 0.00069377 | Time: 4511.42 ms [2020-11-18 02:32:45 main:574] : INFO : Epoch 115 | loss: 0.000675934 | val_loss: 0.000667788 | Time: 4572.04 ms [2020-11-18 02:32:49 main:574] : INFO : Epoch 116 | loss: 0.000648387 | val_loss: 0.000640682 | Time: 4550.22 ms [2020-11-18 02:32:54 main:574] : INFO : Epoch 117 | loss: 0.000623263 | val_loss: 0.000616687 | Time: 4489.97 ms [2020-11-18 02:32:59 main:574] : INFO : Epoch 118 | loss: 0.000598957 | val_loss: 0.000592725 | Time: 4585.63 ms [2020-11-18 02:33:03 main:574] : INFO : Epoch 119 | loss: 0.000576137 | val_loss: 0.000569213 | Time: 4517.31 ms [2020-11-18 02:33:08 main:574] : INFO : Epoch 120 | loss: 0.000553024 | val_loss: 0.000547284 | Time: 4713.92 ms [2020-11-18 02:33:13 main:574] : INFO : Epoch 121 | loss: 0.000531649 | val_loss: 0.000525339 | Time: 4545.62 ms [2020-11-18 02:33:17 main:574] : INFO : Epoch 122 | loss: 0.000511403 | val_loss: 0.000506281 | Time: 4535.81 ms [2020-11-18 02:33:22 main:574] : INFO : Epoch 123 | loss: 0.000492656 | val_loss: 0.000487143 | Time: 4545.22 ms [2020-11-18 02:33:26 main:574] : INFO : Epoch 124 | loss: 0.000473393 | val_loss: 0.000469209 | Time: 4497.61 ms [2020-11-18 02:33:31 main:574] : INFO : Epoch 125 | loss: 0.000456763 | val_loss: 0.000452654 | Time: 4540.93 ms [2020-11-18 02:33:36 main:574] : INFO : Epoch 126 | loss: 0.000439415 | val_loss: 0.000436543 | Time: 4513.42 ms [2020-11-18 02:33:40 main:574] : INFO : Epoch 127 | loss: 0.000423612 | val_loss: 0.000424669 | Time: 4484.79 ms [2020-11-18 02:33:45 main:574] : INFO : Epoch 128 | loss: 0.000407837 | val_loss: 0.000404869 | Time: 4479.6 ms [2020-11-18 02:33:49 main:574] : INFO : Epoch 129 | loss: 0.000393379 | val_loss: 0.000389901 | Time: 4507.4 ms [2020-11-18 02:33:54 main:574] : INFO : Epoch 130 | loss: 0.00037897 | val_loss: 0.000374757 | Time: 4480.62 ms [2020-11-18 02:33:59 main:574] : INFO : Epoch 131 | loss: 0.000365532 | val_loss: 0.000362946 | Time: 4520.91 ms [2020-11-18 02:34:03 main:574] : INFO : Epoch 132 | loss: 0.000353031 | val_loss: 0.00035066 | Time: 4496.12 ms [2020-11-18 02:34:08 main:574] : INFO : Epoch 133 | loss: 0.000340822 | val_loss: 0.000337862 | Time: 4479.97 ms [2020-11-18 02:34:12 main:574] : INFO : Epoch 134 | loss: 0.000329069 | val_loss: 0.000330806 | Time: 4523.19 ms [2020-11-18 02:34:17 main:574] : INFO : Epoch 135 | loss: 0.000318823 | val_loss: 0.000315983 | Time: 4529.09 ms [2020-11-18 02:34:21 main:574] : INFO : Epoch 136 | loss: 0.000307166 | val_loss: 0.000306705 | Time: 4528.48 ms [2020-11-18 02:34:26 main:574] : INFO : Epoch 137 | loss: 0.000297717 | val_loss: 0.000295126 | Time: 4629.75 ms [2020-11-18 02:34:31 main:574] : INFO : Epoch 138 | loss: 0.000288303 | val_loss: 0.00028991 | Time: 4493.67 ms [2020-11-18 02:34:35 main:574] : INFO : Epoch 139 | loss: 0.000279285 | val_loss: 0.000280154 | Time: 4524.73 ms [2020-11-18 02:34:40 main:574] : INFO : Epoch 140 | loss: 0.000270645 | val_loss: 0.000272316 | Time: 4488.2 ms [2020-11-18 02:34:45 main:574] : INFO : Epoch 141 | loss: 0.000262446 | val_loss: 0.000263366 | Time: 4491.19 ms [2020-11-18 02:34:49 main:574] : INFO : Epoch 142 | loss: 0.000254447 | val_loss: 0.000254003 | Time: 4491.35 ms [2020-11-18 02:34:54 main:574] : INFO : Epoch 143 | loss: 0.000246571 | val_loss: 0.000248183 | Time: 4501.89 ms [2020-11-18 02:34:58 main:574] : INFO : Epoch 144 | loss: 0.000239448 | val_loss: 0.000239471 | Time: 4465.15 ms [2020-11-18 02:35:03 main:574] : INFO : Epoch 145 | loss: 0.000233105 | val_loss: 0.000236557 | Time: 4483.6 ms [2020-11-18 02:35:07 main:574] : INFO : Epoch 146 | loss: 0.000227401 | val_loss: 0.000225584 | Time: 4522.91 ms [2020-11-18 02:35:12 main:574] : INFO : Epoch 147 | loss: 0.000220664 | val_loss: 0.000222707 | Time: 4452.74 ms [2020-11-18 02:35:16 main:574] : INFO : Epoch 148 | loss: 0.000215105 | val_loss: 0.000216394 | Time: 4483.32 ms [2020-11-18 02:35:21 main:574] : INFO : Epoch 149 | loss: 0.000209698 | val_loss: 0.000209263 | Time: 4487.72 ms [2020-11-18 02:35:26 main:574] : INFO : Epoch 150 | loss: 0.000204424 | val_loss: 0.000205485 | Time: 4542.55 ms [2020-11-18 02:35:30 main:574] : INFO : Epoch 151 | loss: 0.000198871 | val_loss: 0.00019938 | Time: 4550.84 ms [2020-11-18 02:35:35 main:574] : INFO : Epoch 152 | loss: 0.00019413 | val_loss: 0.000194657 | Time: 4529.64 ms [2020-11-18 02:35:40 main:574] : INFO : Epoch 153 | loss: 0.000189256 | val_loss: 0.000192218 | Time: 4487.29 ms [2020-11-18 02:35:44 main:574] : INFO : Epoch 154 | loss: 0.000185323 | val_loss: 0.000186017 | Time: 4497.32 ms [2020-11-18 02:35:49 main:574] : INFO : Epoch 155 | loss: 0.000180382 | val_loss: 0.000180872 | Time: 4521.95 ms [2020-11-18 02:35:53 main:574] : INFO : Epoch 156 | loss: 0.000176983 | val_loss: 0.000178392 | Time: 4502.52 ms [2020-11-18 02:35:58 main:574] : INFO : Epoch 157 | loss: 0.000172732 | val_loss: 0.000173513 | Time: 4477.66 ms [2020-11-18 02:36:02 main:574] : INFO : Epoch 158 | loss: 0.000168855 | val_loss: 0.000169996 | Time: 4541.83 ms [2020-11-18 02:36:07 main:574] : INFO : Epoch 159 | loss: 0.000165079 | val_loss: 0.000167251 | Time: 4802.5 ms [2020-11-18 02:36:12 main:574] : INFO : Epoch 160 | loss: 0.000162244 | val_loss: 0.000162753 | Time: 4489.75 ms [2020-11-18 02:36:17 main:574] : INFO : Epoch 161 | loss: 0.000158713 | val_loss: 0.000161528 | Time: 4546.59 ms [2020-11-18 02:36:21 main:574] : INFO : Epoch 162 | loss: 0.000155957 | val_loss: 0.000158095 | Time: 4512.1 ms [2020-11-18 02:36:26 main:574] : INFO : Epoch 163 | loss: 0.000152486 | val_loss: 0.000153444 | Time: 4533.96 ms [2020-11-18 02:36:31 main:574] : INFO : Epoch 164 | loss: 0.000149533 | val_loss: 0.000151262 | Time: 4495.9 ms [2020-11-18 02:36:35 main:574] : INFO : Epoch 165 | loss: 0.000147096 | val_loss: 0.000147157 | Time: 4514.56 ms [2020-11-18 02:36:40 main:574] : INFO : Epoch 166 | loss: 0.000143936 | val_loss: 0.000146388 | Time: 4456.57 ms [2020-11-18 02:36:44 main:574] : INFO : Epoch 167 | loss: 0.00014149 | val_loss: 0.000143017 | Time: 4504.15 ms [2020-11-18 02:36:49 main:574] : INFO : Epoch 168 | loss: 0.000139179 | val_loss: 0.000141917 | Time: 4466.26 ms [2020-11-18 02:36:53 main:574] : INFO : Epoch 169 | loss: 0.000136204 | val_loss: 0.000137499 | Time: 4554.4 ms [2020-11-18 02:36:58 main:574] : INFO : Epoch 170 | loss: 0.0001341 | val_loss: 0.000135231 | Time: 4539.35 ms [2020-11-18 02:37:03 main:574] : INFO : Epoch 171 | loss: 0.000131715 | val_loss: 0.000133182 | Time: 4510.58 ms [2020-11-18 02:37:07 main:574] : INFO : Epoch 172 | loss: 0.00012918 | val_loss: 0.000130954 | Time: 4476.28 ms [2020-11-18 02:37:12 main:574] : INFO : Epoch 173 | loss: 0.000127794 | val_loss: 0.000133224 | Time: 4539.6 ms [2020-11-18 02:37:16 main:574] : INFO : Epoch 174 | loss: 0.000125129 | val_loss: 0.000125845 | Time: 4506.3 ms [2020-11-18 02:37:21 main:574] : INFO : Epoch 175 | loss: 0.000122887 | val_loss: 0.000123633 | Time: 4496.32 ms [2020-11-18 02:37:26 main:574] : INFO : Epoch 176 | loss: 0.000120987 | val_loss: 0.000123083 | Time: 4535.37 ms [2020-11-18 02:37:30 main:574] : INFO : Epoch 177 | loss: 0.000119723 | val_loss: 0.00012101 | Time: 4491.14 ms [2020-11-18 02:37:35 main:574] : INFO : Epoch 178 | loss: 0.000117448 | val_loss: 0.000119933 | Time: 4522.08 ms [2020-11-18 02:37:39 main:574] : INFO : Epoch 179 | loss: 0.000115991 | val_loss: 0.000119979 | Time: 4513.89 ms [2020-11-18 02:37:44 main:574] : INFO : Epoch 180 | loss: 0.000114165 | val_loss: 0.000116459 | Time: 4472.33 ms [2020-11-18 02:37:49 main:574] : INFO : Epoch 181 | loss: 0.00011193 | val_loss: 0.000115951 | Time: 4518.68 ms [2020-11-18 02:37:53 main:574] : INFO : Epoch 182 | loss: 0.00011081 | val_loss: 0.000112123 | Time: 4528.77 ms [2020-11-18 02:37:58 main:574] : INFO : Epoch 183 | loss: 0.000108986 | val_loss: 0.000112574 | Time: 4535.54 ms [2020-11-18 02:38:02 main:574] : INFO : Epoch 184 | loss: 0.000107413 | val_loss: 0.000109026 | Time: 4499.18 ms [2020-11-18 02:38:07 main:574] : INFO : Epoch 185 | loss: 0.000105718 | val_loss: 0.000108377 | Time: 4625.95 ms [2020-11-18 02:38:12 main:574] : INFO : Epoch 186 | loss: 0.000104171 | val_loss: 0.000107288 | Time: 4555.45 ms [2020-11-18 02:38:16 main:574] : INFO : Epoch 187 | loss: 0.000103182 | val_loss: 0.000104151 | Time: 4516.85 ms [2020-11-18 02:38:21 main:574] : INFO : Epoch 188 | loss: 0.000101321 | val_loss: 0.000103316 | Time: 4514.26 ms [2020-11-18 02:38:25 main:574] : INFO : Epoch 189 | loss: 0.000100481 | val_loss: 0.000103399 | Time: 4479.26 ms [2020-11-18 02:38:30 main:574] : INFO : Epoch 190 | loss: 9.95084e-05 | val_loss: 0.000101151 | Time: 4465.64 ms [2020-11-18 02:38:35 main:574] : INFO : Epoch 191 | loss: 9.76646e-05 | val_loss: 9.89802e-05 | Time: 4532.04 ms [2020-11-18 02:38:39 main:574] : INFO : Epoch 192 | loss: 9.65477e-05 | val_loss: 9.90371e-05 | Time: 4578.71 ms [2020-11-18 02:38:39 main:597] : INFO : Saving trained model to model-final.pt, val_loss 9.90371e-05 [2020-11-18 02:38:39 main:603] : INFO : Saving end state to config to file [2020-11-18 02:38:39 main:608] : INFO : Success, exiting.. 02:38:40 (9184): 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)