Task 2945568
| Name | rand_automata_0076-1605426167-8019-0_1 |
| Workunit | 1328569 |
| Created | 15 Nov 2020, 7:42:51 UTC |
| Sent | 18 Nov 2020, 7:36:26 UTC |
| Report deadline | 26 Nov 2020, 7:36:26 UTC |
| Received | 18 Nov 2020, 8:07:42 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 3682 |
| Run time | 15 min 34 sec |
| CPU time | 14 min 17 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 02:39:29 main:435] : INFO : Set logging level to 1 [2020-11-18 02:39:29 main:441] : INFO : Running in BOINC Client mode [2020-11-18 02:39:30 main:444] : INFO : Resolving all filenames [2020-11-18 02:39:30 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0076-train-val-dataset.hdf5 (exists = 1) [2020-11-18 02:39:30 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0076-1605426167-8019-0_1_r48512072_1 (exists = 0) [2020-11-18 02:39:30 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0076-1605426167-8019-0_1_r48512072_0 (exists = 0) [2020-11-18 02:39:30 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-18 02:39:30 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-18 02:39:30 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0076-train-val-dataset.hdf5 [2020-11-18 02:39:30 main:474] : INFO : Configuration: [2020-11-18 02:39:30 main:475] : INFO : Model type: LSTM [2020-11-18 02:39:30 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-18 02:39:30 main:477] : INFO : Max Epochs: 192 [2020-11-18 02:39:30 main:478] : INFO : Batch Size: 32 [2020-11-18 02:39:30 main:479] : INFO : Learning Rate: 0.001 [2020-11-18 02:39:30 main:480] : INFO : Patience: 10 [2020-11-18 02:39:30 main:481] : INFO : Hidden Width: 64 [2020-11-18 02:39:30 main:482] : INFO : # Recurrent Layers: 4 [2020-11-18 02:39:30 main:483] : INFO : # Backend Layers: 2 [2020-11-18 02:39:30 main:484] : INFO : # Threads: 1 [2020-11-18 02:39:31 main:486] : INFO : Preparing Dataset [2020-11-18 02:39:31 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0076-train-val-dataset.hdf5 into memory [2020-11-18 02:39:31 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0076-train-val-dataset.hdf5 into memory [2020-11-18 02:39:33 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-18 02:39:33 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0076-train-val-dataset.hdf5 into memory [2020-11-18 02:39:33 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0076-train-val-dataset.hdf5 into memory [2020-11-18 02:39:33 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-18 02:39:33 main:494] : INFO : Creating Model [2020-11-18 02:39:33 main:507] : INFO : Preparing config file [2020-11-18 02:39:33 main:519] : INFO : Creating new config file [2020-11-18 02:39:35 main:559] : INFO : Loading DataLoader into Memory [2020-11-18 02:39:35 main:562] : INFO : Starting Training [2020-11-18 02:39:40 main:574] : INFO : Epoch 1 | loss: 0.0662472 | val_loss: 0.0659443 | Time: 4997.01 ms [2020-11-18 02:39:45 main:574] : INFO : Epoch 2 | loss: 0.065217 | val_loss: 0.0638393 | Time: 4521.57 ms [2020-11-18 02:39:49 main:574] : INFO : Epoch 3 | loss: 0.0619907 | val_loss: 0.0600304 | Time: 4533.09 ms [2020-11-18 02:39:54 main:574] : INFO : Epoch 4 | loss: 0.0583849 | val_loss: 0.0570921 | Time: 4477.61 ms [2020-11-18 02:39:58 main:574] : INFO : Epoch 5 | loss: 0.0560192 | val_loss: 0.055191 | Time: 4462.06 ms [2020-11-18 02:40:03 main:574] : INFO : Epoch 6 | loss: 0.0542506 | val_loss: 0.0536553 | Time: 4513.32 ms [2020-11-18 02:40:08 main:574] : INFO : Epoch 7 | loss: 0.0526797 | val_loss: 0.0521328 | Time: 4531.21 ms [2020-11-18 02:40:12 main:574] : INFO : Epoch 8 | loss: 0.0511042 | val_loss: 0.0505598 | Time: 4508.36 ms [2020-11-18 02:40:17 main:574] : INFO : Epoch 9 | loss: 0.04947 | val_loss: 0.0488948 | Time: 4444.91 ms [2020-11-18 02:40:21 main:574] : INFO : Epoch 10 | loss: 0.0476835 | val_loss: 0.0471342 | Time: 4499.25 ms [2020-11-18 02:40:26 main:574] : INFO : Epoch 11 | loss: 0.0457523 | val_loss: 0.0451695 | Time: 4526.17 ms [2020-11-18 02:40:31 main:574] : INFO : Epoch 12 | loss: 0.0434549 | val_loss: 0.0429106 | Time: 4534.51 ms [2020-11-18 02:40:35 main:574] : INFO : Epoch 13 | loss: 0.0408207 | val_loss: 0.0401804 | Time: 4481.08 ms [2020-11-18 02:40:40 main:574] : INFO : Epoch 14 | loss: 0.0377575 | val_loss: 0.0374053 | Time: 4497.99 ms [2020-11-18 02:40:44 main:574] : INFO : Epoch 15 | loss: 0.0341324 | val_loss: 0.0334449 | Time: 4494 ms [2020-11-18 02:40:49 main:574] : INFO : Epoch 16 | loss: 0.0303412 | val_loss: 0.0299767 | Time: 4454.41 ms [2020-11-18 02:40:53 main:574] : INFO : Epoch 17 | loss: 0.0264996 | val_loss: 0.0245919 | Time: 4490 ms [2020-11-18 02:40:58 main:574] : INFO : Epoch 18 | loss: 0.0330365 | val_loss: 0.0563285 | Time: 4513.47 ms [2020-11-18 02:41:03 main:574] : INFO : Epoch 19 | loss: 0.0464079 | val_loss: 0.033279 | Time: 4538.3 ms [2020-11-18 02:41:07 main:574] : INFO : Epoch 20 | loss: 0.023618 | val_loss: 0.0218156 | Time: 4480.45 ms [2020-11-18 02:41:12 main:574] : INFO : Epoch 21 | loss: 0.0261416 | val_loss: 0.0575182 | Time: 4432.32 ms [2020-11-18 02:41:16 main:574] : INFO : Epoch 22 | loss: 0.0292418 | val_loss: 0.0181251 | Time: 4500.39 ms [2020-11-18 02:41:21 main:574] : INFO : Epoch 23 | loss: 0.0151338 | val_loss: 0.01418 | Time: 4472.44 ms [2020-11-18 02:41:26 main:574] : INFO : Epoch 24 | loss: 0.0132208 | val_loss: 0.0134246 | Time: 4894.45 ms [2020-11-18 02:41:30 main:574] : INFO : Epoch 25 | loss: 0.0124826 | val_loss: 0.0131005 | Time: 4393.45 ms [2020-11-18 02:41:35 main:574] : INFO : Epoch 26 | loss: 0.012057 | val_loss: 0.0109822 | Time: 4506.68 ms [2020-11-18 02:41:40 main:574] : INFO : Epoch 27 | loss: 0.0108921 | val_loss: 0.0143056 | Time: 4475.07 ms [2020-11-18 02:41:44 main:574] : INFO : Epoch 28 | loss: 0.0101565 | val_loss: 0.00963271 | Time: 4500.53 ms [2020-11-18 02:41:49 main:574] : INFO : Epoch 29 | loss: 0.00876701 | val_loss: 0.00891 | Time: 4532.73 ms [2020-11-18 02:41:54 main:574] : INFO : Epoch 30 | loss: 0.00836004 | val_loss: 0.0095559 | Time: 4525.98 ms [2020-11-18 02:41:58 main:574] : INFO : Epoch 31 | loss: 0.00942091 | val_loss: 0.0082306 | Time: 4529.06 ms [2020-11-18 02:42:03 main:574] : INFO : Epoch 32 | loss: 0.00765753 | val_loss: 0.00770615 | Time: 4500.55 ms [2020-11-18 02:42:07 main:574] : INFO : Epoch 33 | loss: 0.00729058 | val_loss: 0.00743483 | Time: 4506.02 ms [2020-11-18 02:42:12 main:574] : INFO : Epoch 34 | loss: 0.00697166 | val_loss: 0.00709583 | Time: 4522.68 ms [2020-11-18 02:42:17 main:574] : INFO : Epoch 35 | loss: 0.006671 | val_loss: 0.00676376 | Time: 4510.77 ms [2020-11-18 02:42:21 main:574] : INFO : Epoch 36 | loss: 0.0064028 | val_loss: 0.00646454 | Time: 4454.53 ms [2020-11-18 02:42:26 main:574] : INFO : Epoch 37 | loss: 0.00615108 | val_loss: 0.00620176 | Time: 4513.37 ms [2020-11-18 02:42:30 main:574] : INFO : Epoch 38 | loss: 0.00591498 | val_loss: 0.00673163 | Time: 4458.14 ms [2020-11-18 02:42:35 main:574] : INFO : Epoch 39 | loss: 0.00573666 | val_loss: 0.00569361 | Time: 4524.05 ms [2020-11-18 02:42:39 main:574] : INFO : Epoch 40 | loss: 0.00544455 | val_loss: 0.00543751 | Time: 4483.61 ms [2020-11-18 02:42:44 main:574] : INFO : Epoch 41 | loss: 0.00522232 | val_loss: 0.00520284 | Time: 4457.18 ms [2020-11-18 02:42:49 main:574] : INFO : Epoch 42 | loss: 0.00500987 | val_loss: 0.00497762 | Time: 4524.05 ms [2020-11-18 02:42:53 main:574] : INFO : Epoch 43 | loss: 0.0047977 | val_loss: 0.00476471 | Time: 4546.96 ms [2020-11-18 02:42:58 main:574] : INFO : Epoch 44 | loss: 0.00460057 | val_loss: 0.00456752 | Time: 4501.46 ms [2020-11-18 02:43:02 main:574] : INFO : Epoch 45 | loss: 0.00440691 | val_loss: 0.00437148 | Time: 4508.47 ms [2020-11-18 02:43:07 main:574] : INFO : Epoch 46 | loss: 0.00422464 | val_loss: 0.00418519 | Time: 4505.34 ms [2020-11-18 02:43:12 main:574] : INFO : Epoch 47 | loss: 0.00404857 | val_loss: 0.00403293 | Time: 4526.09 ms [2020-11-18 02:43:16 main:574] : INFO : Epoch 48 | loss: 0.00387966 | val_loss: 0.00384521 | Time: 4445.64 ms [2020-11-18 02:43:21 main:574] : INFO : Epoch 49 | loss: 0.00371373 | val_loss: 0.00367642 | Time: 4478.69 ms [2020-11-18 02:43:25 main:574] : INFO : Epoch 50 | loss: 0.0035563 | val_loss: 0.00351919 | Time: 4475.29 ms [2020-11-18 02:43:30 main:574] : INFO : Epoch 51 | loss: 0.00340541 | val_loss: 0.00336828 | Time: 4465.59 ms [2020-11-18 02:43:34 main:574] : INFO : Epoch 52 | loss: 0.00326154 | val_loss: 0.00322409 | Time: 4492.34 ms [2020-11-18 02:43:39 main:574] : INFO : Epoch 53 | loss: 0.00311971 | val_loss: 0.00308457 | Time: 4513.29 ms [2020-11-18 02:43:43 main:574] : INFO : Epoch 54 | loss: 0.00298579 | val_loss: 0.00294912 | Time: 4488.85 ms [2020-11-18 02:43:48 main:574] : INFO : Epoch 55 | loss: 0.00285815 | val_loss: 0.0028263 | Time: 4491.71 ms [2020-11-18 02:43:53 main:574] : INFO : Epoch 56 | loss: 0.00273432 | val_loss: 0.00269929 | Time: 4476.28 ms [2020-11-18 02:43:57 main:574] : INFO : Epoch 57 | loss: 0.0026141 | val_loss: 0.00257997 | Time: 4460.99 ms [2020-11-18 02:44:02 main:574] : INFO : Epoch 58 | loss: 0.00250091 | val_loss: 0.00247443 | Time: 4484.32 ms [2020-11-18 02:44:06 main:574] : INFO : Epoch 59 | loss: 0.00239214 | val_loss: 0.00236309 | Time: 4458.72 ms [2020-11-18 02:44:11 main:574] : INFO : Epoch 60 | loss: 0.00228724 | val_loss: 0.00226148 | Time: 4467.52 ms [2020-11-18 02:44:15 main:574] : INFO : Epoch 61 | loss: 0.00218641 | val_loss: 0.0021621 | Time: 4450.63 ms [2020-11-18 02:44:20 main:574] : INFO : Epoch 62 | loss: 0.00208947 | val_loss: 0.00206566 | Time: 4524.83 ms [2020-11-18 02:44:24 main:574] : INFO : Epoch 63 | loss: 0.00199749 | val_loss: 0.00197257 | Time: 4526.6 ms [2020-11-18 02:44:29 main:574] : INFO : Epoch 64 | loss: 0.00190881 | val_loss: 0.00188981 | Time: 4726.77 ms [2020-11-18 02:44:34 main:574] : INFO : Epoch 65 | loss: 0.00182564 | val_loss: 0.00180692 | Time: 4533 ms [2020-11-18 02:44:39 main:574] : INFO : Epoch 66 | loss: 0.00174252 | val_loss: 0.00172455 | Time: 4505.97 ms [2020-11-18 02:44:43 main:574] : INFO : Epoch 67 | loss: 0.00166537 | val_loss: 0.0016488 | Time: 4507.98 ms [2020-11-18 02:44:48 main:574] : INFO : Epoch 68 | loss: 0.00159214 | val_loss: 0.00157303 | Time: 4540.37 ms [2020-11-18 02:44:53 main:574] : INFO : Epoch 69 | loss: 0.00152169 | val_loss: 0.00150385 | Time: 4537.01 ms [2020-11-18 02:44:57 main:574] : INFO : Epoch 70 | loss: 0.00145359 | val_loss: 0.00143737 | Time: 4537.95 ms [2020-11-18 02:45:02 main:574] : INFO : Epoch 71 | loss: 0.00139009 | val_loss: 0.00137257 | Time: 4466.61 ms [2020-11-18 02:45:06 main:574] : INFO : Epoch 72 | loss: 0.00132783 | val_loss: 0.00132013 | Time: 4507.85 ms [2020-11-18 02:45:11 main:574] : INFO : Epoch 73 | loss: 0.00127196 | val_loss: 0.00126267 | Time: 4506.21 ms [2020-11-18 02:45:15 main:574] : INFO : Epoch 74 | loss: 0.00121668 | val_loss: 0.00120879 | Time: 4492.83 ms [2020-11-18 02:45:20 main:574] : INFO : Epoch 75 | loss: 0.00116296 | val_loss: 0.00115264 | Time: 4512.86 ms [2020-11-18 02:45:25 main:574] : INFO : Epoch 76 | loss: 0.00111332 | val_loss: 0.00110769 | Time: 4516.2 ms [2020-11-18 02:45:29 main:574] : INFO : Epoch 77 | loss: 0.0010656 | val_loss: 0.00105627 | Time: 4519.97 ms [2020-11-18 02:45:34 main:574] : INFO : Epoch 78 | loss: 0.00102073 | val_loss: 0.00101576 | Time: 4502.78 ms [2020-11-18 02:45:38 main:574] : INFO : Epoch 79 | loss: 0.000977784 | val_loss: 0.000969773 | Time: 4515.73 ms [2020-11-18 02:45:43 main:574] : INFO : Epoch 80 | loss: 0.000937048 | val_loss: 0.000934957 | Time: 4483.06 ms [2020-11-18 02:45:48 main:574] : INFO : Epoch 81 | loss: 0.000899875 | val_loss: 0.00089572 | Time: 4503.92 ms [2020-11-18 02:45:52 main:574] : INFO : Epoch 82 | loss: 0.000863333 | val_loss: 0.000860104 | Time: 4493.84 ms [2020-11-18 02:45:57 main:574] : INFO : Epoch 83 | loss: 0.000827759 | val_loss: 0.000822057 | Time: 4508.06 ms [2020-11-18 02:46:01 main:574] : INFO : Epoch 84 | loss: 0.000795165 | val_loss: 0.000792778 | Time: 4457.84 ms [2020-11-18 02:46:06 main:574] : INFO : Epoch 85 | loss: 0.000763015 | val_loss: 0.000760679 | Time: 4483.73 ms [2020-11-18 02:46:10 main:574] : INFO : Epoch 86 | loss: 0.000731481 | val_loss: 0.00073066 | Time: 4531.57 ms [2020-11-18 02:46:15 main:574] : INFO : Epoch 87 | loss: 0.000704508 | val_loss: 0.000705232 | Time: 4512.39 ms [2020-11-18 02:46:20 main:574] : INFO : Epoch 88 | loss: 0.0006772 | val_loss: 0.000678366 | Time: 4487.88 ms [2020-11-18 02:46:24 main:574] : INFO : Epoch 89 | loss: 0.000650737 | val_loss: 0.000650258 | Time: 4480.41 ms [2020-11-18 02:46:29 main:574] : INFO : Epoch 90 | loss: 0.000624774 | val_loss: 0.000624594 | Time: 4547.81 ms [2020-11-18 02:46:33 main:574] : INFO : Epoch 91 | loss: 0.000601107 | val_loss: 0.000600451 | Time: 4523.08 ms [2020-11-18 02:46:38 main:574] : INFO : Epoch 92 | loss: 0.000578287 | val_loss: 0.000583318 | Time: 4536.06 ms [2020-11-18 02:46:43 main:574] : INFO : Epoch 93 | loss: 0.000556165 | val_loss: 0.000558593 | Time: 4514.19 ms [2020-11-18 02:46:47 main:574] : INFO : Epoch 94 | loss: 0.000535136 | val_loss: 0.000534178 | Time: 4536.54 ms [2020-11-18 02:46:52 main:574] : INFO : Epoch 95 | loss: 0.000514966 | val_loss: 0.000517253 | Time: 4533.8 ms [2020-11-18 02:46:56 main:574] : INFO : Epoch 96 | loss: 0.000496426 | val_loss: 0.000496912 | Time: 4571.15 ms [2020-11-18 02:47:01 main:574] : INFO : Epoch 97 | loss: 0.000478754 | val_loss: 0.000479944 | Time: 4554.89 ms [2020-11-18 02:47:06 main:574] : INFO : Epoch 98 | loss: 0.000460955 | val_loss: 0.000462503 | Time: 4507.55 ms [2020-11-18 02:47:10 main:574] : INFO : Epoch 99 | loss: 0.000444094 | val_loss: 0.000450426 | Time: 4490.56 ms [2020-11-18 02:47:15 main:574] : INFO : Epoch 100 | loss: 0.000427004 | val_loss: 0.000429584 | Time: 4508.54 ms [2020-11-18 02:47:19 main:574] : INFO : Epoch 101 | loss: 0.000412414 | val_loss: 0.000417284 | Time: 4448.04 ms [2020-11-18 02:47:24 main:574] : INFO : Epoch 102 | loss: 0.000397741 | val_loss: 0.000400694 | Time: 4536.61 ms [2020-11-18 02:47:29 main:574] : INFO : Epoch 103 | loss: 0.000384389 | val_loss: 0.000386096 | Time: 4839.31 ms [2020-11-18 02:47:33 main:574] : INFO : Epoch 104 | loss: 0.000371509 | val_loss: 0.000378919 | Time: 4469.4 ms [2020-11-18 02:47:38 main:574] : INFO : Epoch 105 | loss: 0.000359216 | val_loss: 0.000362232 | Time: 4475.12 ms [2020-11-18 02:47:43 main:574] : INFO : Epoch 106 | loss: 0.000345624 | val_loss: 0.000347639 | Time: 4483.45 ms [2020-11-18 02:47:48 main:574] : INFO : Epoch 107 | loss: 0.000334326 | val_loss: 0.00033841 | Time: 4526.58 ms [2020-11-18 02:47:52 main:574] : INFO : Epoch 108 | loss: 0.000323809 | val_loss: 0.000329292 | Time: 4503.05 ms [2020-11-18 02:47:57 main:574] : INFO : Epoch 109 | loss: 0.000313626 | val_loss: 0.00032182 | Time: 4531.7 ms [2020-11-18 02:48:01 main:574] : INFO : Epoch 110 | loss: 0.000304232 | val_loss: 0.000308703 | Time: 4506.86 ms [2020-11-18 02:48:06 main:574] : INFO : Epoch 111 | loss: 0.000294669 | val_loss: 0.000297474 | Time: 4506.81 ms [2020-11-18 02:48:10 main:574] : INFO : Epoch 112 | loss: 0.000286036 | val_loss: 0.00029188 | Time: 4480.46 ms [2020-11-18 02:48:15 main:574] : INFO : Epoch 113 | loss: 0.000277257 | val_loss: 0.00028475 | Time: 4486.99 ms [2020-11-18 02:48:20 main:574] : INFO : Epoch 114 | loss: 0.00026848 | val_loss: 0.000275494 | Time: 4474.14 ms [2020-11-18 02:48:24 main:574] : INFO : Epoch 115 | loss: 0.00026172 | val_loss: 0.000266444 | Time: 4536.7 ms [2020-11-18 02:48:29 main:574] : INFO : Epoch 116 | loss: 0.000253736 | val_loss: 0.000264341 | Time: 4448.55 ms [2020-11-18 02:48:33 main:574] : INFO : Epoch 117 | loss: 0.00024696 | val_loss: 0.000249453 | Time: 4512.47 ms [2020-11-18 02:48:38 main:574] : INFO : Epoch 118 | loss: 0.000240243 | val_loss: 0.00024789 | Time: 4488.96 ms [2020-11-18 02:48:42 main:574] : INFO : Epoch 119 | loss: 0.000233376 | val_loss: 0.000238344 | Time: 4489.01 ms [2020-11-18 02:48:47 main:574] : INFO : Epoch 120 | loss: 0.000227124 | val_loss: 0.000232962 | Time: 4425.85 ms [2020-11-18 02:48:52 main:574] : INFO : Epoch 121 | loss: 0.000221358 | val_loss: 0.000226527 | Time: 4506.59 ms [2020-11-18 02:48:56 main:574] : INFO : Epoch 122 | loss: 0.000215531 | val_loss: 0.00022128 | Time: 4466.9 ms [2020-11-18 02:49:01 main:574] : INFO : Epoch 123 | loss: 0.000210894 | val_loss: 0.000214334 | Time: 4476.88 ms [2020-11-18 02:49:05 main:574] : INFO : Epoch 124 | loss: 0.000205018 | val_loss: 0.000210529 | Time: 4435.15 ms [2020-11-18 02:49:10 main:574] : INFO : Epoch 125 | loss: 0.000200505 | val_loss: 0.00020514 | Time: 4489.64 ms [2020-11-18 02:49:14 main:574] : INFO : Epoch 126 | loss: 0.000196445 | val_loss: 0.000199945 | Time: 4534.75 ms [2020-11-18 02:49:19 main:574] : INFO : Epoch 127 | loss: 0.000190952 | val_loss: 0.000195761 | Time: 4476.88 ms [2020-11-18 02:49:24 main:574] : INFO : Epoch 128 | loss: 0.000186386 | val_loss: 0.000192234 | Time: 4516.79 ms [2020-11-18 02:49:28 main:574] : INFO : Epoch 129 | loss: 0.000182341 | val_loss: 0.000186131 | Time: 4452.55 ms [2020-11-18 02:49:33 main:574] : INFO : Epoch 130 | loss: 0.00017785 | val_loss: 0.00018217 | Time: 4484.08 ms [2020-11-18 02:49:37 main:574] : INFO : Epoch 131 | loss: 0.000173889 | val_loss: 0.000178909 | Time: 4555.76 ms [2020-11-18 02:49:42 main:574] : INFO : Epoch 132 | loss: 0.000170574 | val_loss: 0.000176906 | Time: 4464.23 ms [2020-11-18 02:49:46 main:574] : INFO : Epoch 133 | loss: 0.000167581 | val_loss: 0.000178919 | Time: 4520.19 ms [2020-11-18 02:49:51 main:574] : INFO : Epoch 134 | loss: 0.000163585 | val_loss: 0.000167251 | Time: 4504.29 ms [2020-11-18 02:49:56 main:574] : INFO : Epoch 135 | loss: 0.000159678 | val_loss: 0.000164208 | Time: 4508.75 ms [2020-11-18 02:50:00 main:574] : INFO : Epoch 136 | loss: 0.00015662 | val_loss: 0.000160838 | Time: 4493.51 ms [2020-11-18 02:50:05 main:574] : INFO : Epoch 137 | loss: 0.000154114 | val_loss: 0.000159617 | Time: 4489.61 ms [2020-11-18 02:50:09 main:574] : INFO : Epoch 138 | loss: 0.000150349 | val_loss: 0.000155152 | Time: 4530.92 ms [2020-11-18 02:50:14 main:574] : INFO : Epoch 139 | loss: 0.000147372 | val_loss: 0.000154715 | Time: 4468.14 ms [2020-11-18 02:50:19 main:574] : INFO : Epoch 140 | loss: 0.000145025 | val_loss: 0.000148796 | Time: 4519.29 ms [2020-11-18 02:50:23 main:574] : INFO : Epoch 141 | loss: 0.000141251 | val_loss: 0.000147046 | Time: 4526.33 ms [2020-11-18 02:50:28 main:574] : INFO : Epoch 142 | loss: 0.000140294 | val_loss: 0.000143123 | Time: 4839.88 ms [2020-11-18 02:50:33 main:574] : INFO : Epoch 143 | loss: 0.000137225 | val_loss: 0.000141066 | Time: 4483.47 ms [2020-11-18 02:50:37 main:574] : INFO : Epoch 144 | loss: 0.00013434 | val_loss: 0.000139873 | Time: 4539.67 ms [2020-11-18 02:50:42 main:574] : INFO : Epoch 145 | loss: 0.000132281 | val_loss: 0.000136341 | Time: 4499.68 ms [2020-11-18 02:50:47 main:574] : INFO : Epoch 146 | loss: 0.000130069 | val_loss: 0.000133292 | Time: 4521.01 ms [2020-11-18 02:50:51 main:574] : INFO : Epoch 147 | loss: 0.000127026 | val_loss: 0.000131684 | Time: 4481.33 ms [2020-11-18 02:50:56 main:574] : INFO : Epoch 148 | loss: 0.000125018 | val_loss: 0.000129996 | Time: 4525.18 ms [2020-11-18 02:51:00 main:574] : INFO : Epoch 149 | loss: 0.000123189 | val_loss: 0.000128118 | Time: 4536.55 ms [2020-11-18 02:51:05 main:574] : INFO : Epoch 150 | loss: 0.000121873 | val_loss: 0.000127679 | Time: 4493.83 ms [2020-11-18 02:51:10 main:574] : INFO : Epoch 151 | loss: 0.000119582 | val_loss: 0.000124544 | Time: 4495.8 ms [2020-11-18 02:51:14 main:574] : INFO : Epoch 152 | loss: 0.000117834 | val_loss: 0.000122543 | Time: 4475.94 ms [2020-11-18 02:51:19 main:574] : INFO : Epoch 153 | loss: 0.000115632 | val_loss: 0.000120586 | Time: 4560.72 ms [2020-11-18 02:51:23 main:574] : INFO : Epoch 154 | loss: 0.000113598 | val_loss: 0.000117454 | Time: 4491.16 ms [2020-11-18 02:51:28 main:574] : INFO : Epoch 155 | loss: 0.000112289 | val_loss: 0.000115869 | Time: 4512.59 ms [2020-11-18 02:51:33 main:574] : INFO : Epoch 156 | loss: 0.000111144 | val_loss: 0.000116209 | Time: 4520.56 ms [2020-11-18 02:51:37 main:574] : INFO : Epoch 157 | loss: 0.000109786 | val_loss: 0.000114012 | Time: 4498.22 ms [2020-11-18 02:51:42 main:574] : INFO : Epoch 158 | loss: 0.000107282 | val_loss: 0.000110841 | Time: 4476.94 ms [2020-11-18 02:51:46 main:574] : INFO : Epoch 159 | loss: 0.000105987 | val_loss: 0.000110405 | Time: 4510.09 ms [2020-11-18 02:51:51 main:574] : INFO : Epoch 160 | loss: 0.000104043 | val_loss: 0.000108415 | Time: 4528.38 ms [2020-11-18 02:51:56 main:574] : INFO : Epoch 161 | loss: 0.000103081 | val_loss: 0.000108612 | Time: 4538.78 ms [2020-11-18 02:52:00 main:574] : INFO : Epoch 162 | loss: 0.000101193 | val_loss: 0.000106536 | Time: 4490.51 ms [2020-11-18 02:52:05 main:574] : INFO : Epoch 163 | loss: 9.99808e-05 | val_loss: 0.000104955 | Time: 4496.55 ms [2020-11-18 02:52:09 main:574] : INFO : Epoch 164 | loss: 9.88303e-05 | val_loss: 0.000102365 | Time: 4524.02 ms [2020-11-18 02:52:14 main:574] : INFO : Epoch 165 | loss: 9.73204e-05 | val_loss: 0.000103773 | Time: 4537.28 ms [2020-11-18 02:52:19 main:574] : INFO : Epoch 166 | loss: 9.67817e-05 | val_loss: 0.000100719 | Time: 4479.54 ms [2020-11-18 02:52:23 main:574] : INFO : Epoch 167 | loss: 9.51682e-05 | val_loss: 0.000101441 | Time: 4542.48 ms [2020-11-18 02:52:28 main:574] : INFO : Epoch 168 | loss: 9.40841e-05 | val_loss: 9.91898e-05 | Time: 4566 ms [2020-11-18 02:52:33 main:574] : INFO : Epoch 169 | loss: 9.304e-05 | val_loss: 9.7042e-05 | Time: 4549.11 ms [2020-11-18 02:52:37 main:574] : INFO : Epoch 170 | loss: 9.17938e-05 | val_loss: 9.67587e-05 | Time: 4519.74 ms [2020-11-18 02:52:42 main:574] : INFO : Epoch 171 | loss: 9.06652e-05 | val_loss: 9.4187e-05 | Time: 4517.7 ms [2020-11-18 02:52:46 main:574] : INFO : Epoch 172 | loss: 8.90865e-05 | val_loss: 9.25224e-05 | Time: 4498.63 ms [2020-11-18 02:52:51 main:574] : INFO : Epoch 173 | loss: 8.86534e-05 | val_loss: 9.29802e-05 | Time: 4482.68 ms [2020-11-18 02:52:55 main:574] : INFO : Epoch 174 | loss: 8.75154e-05 | val_loss: 9.05756e-05 | Time: 4512.91 ms [2020-11-18 02:53:00 main:574] : INFO : Epoch 175 | loss: 8.64122e-05 | val_loss: 8.9406e-05 | Time: 4502.52 ms [2020-11-18 02:53:05 main:574] : INFO : Epoch 176 | loss: 8.5049e-05 | val_loss: 9.08317e-05 | Time: 4657.37 ms [2020-11-18 02:53:09 main:574] : INFO : Epoch 177 | loss: 8.46947e-05 | val_loss: 8.79742e-05 | Time: 4497.89 ms [2020-11-18 02:53:14 main:574] : INFO : Epoch 178 | loss: 8.34314e-05 | val_loss: 8.78928e-05 | Time: 4539.75 ms [2020-11-18 02:53:19 main:574] : INFO : Epoch 179 | loss: 8.19884e-05 | val_loss: 8.62927e-05 | Time: 4538.12 ms [2020-11-18 02:53:23 main:574] : INFO : Epoch 180 | loss: 8.13508e-05 | val_loss: 8.56344e-05 | Time: 4491.45 ms [2020-11-18 02:53:28 main:574] : INFO : Epoch 181 | loss: 8.12499e-05 | val_loss: 8.43543e-05 | Time: 4541.71 ms [2020-11-18 02:53:33 main:574] : INFO : Epoch 182 | loss: 7.9542e-05 | val_loss: 8.46098e-05 | Time: 4489.38 ms [2020-11-18 02:53:37 main:574] : INFO : Epoch 183 | loss: 7.87403e-05 | val_loss: 8.40227e-05 | Time: 4504.11 ms [2020-11-18 02:53:42 main:574] : INFO : Epoch 184 | loss: 7.85059e-05 | val_loss: 8.17024e-05 | Time: 4481.9 ms [2020-11-18 02:53:47 main:574] : INFO : Epoch 185 | loss: 7.74245e-05 | val_loss: 8.32408e-05 | Time: 4512.1 ms [2020-11-18 02:53:51 main:574] : INFO : Epoch 186 | loss: 7.6757e-05 | val_loss: 7.97406e-05 | Time: 4490.86 ms [2020-11-18 02:53:56 main:574] : INFO : Epoch 187 | loss: 7.55641e-05 | val_loss: 7.9171e-05 | Time: 4447.34 ms [2020-11-18 02:54:00 main:574] : INFO : Epoch 188 | loss: 7.4509e-05 | val_loss: 7.87016e-05 | Time: 4466.86 ms [2020-11-18 02:54:05 main:574] : INFO : Epoch 189 | loss: 7.39071e-05 | val_loss: 7.88309e-05 | Time: 4490.03 ms [2020-11-18 02:54:09 main:574] : INFO : Epoch 190 | loss: 7.37875e-05 | val_loss: 7.85537e-05 | Time: 4555.26 ms [2020-11-18 02:54:14 main:574] : INFO : Epoch 191 | loss: 7.23913e-05 | val_loss: 7.72798e-05 | Time: 4519.12 ms [2020-11-18 02:54:19 main:574] : INFO : Epoch 192 | loss: 7.26616e-05 | val_loss: 7.47892e-05 | Time: 4486.34 ms [2020-11-18 02:54:19 main:597] : INFO : Saving trained model to model-final.pt, val_loss 7.47892e-05 [2020-11-18 02:54:19 main:603] : INFO : Saving end state to config to file [2020-11-18 02:54:19 main:608] : INFO : Success, exiting.. 02:54:19 (11248): 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)