Task 10315425
| Name | ParityModified-1638635801-27289-3-0_0 |
| Workunit | 7664685 |
| Created | 2 Jan 2022, 6:02:24 UTC |
| Sent | 16 Jan 2022, 9:56:48 UTC |
| Report deadline | 24 Jan 2022, 9:56:48 UTC |
| Received | 18 Jan 2022, 22:22:59 UTC |
| Server state | Over |
| Outcome | Computation error |
| Client state | Aborted by user |
| Exit status | 203 (0x000000CB) EXIT_ABORTED_VIA_GUI |
| Computer ID | 13970 |
| Run time | 1 days 20 hours 5 min 50 sec |
| CPU time | 5 hours 54 min 6 sec |
| Validate state | Invalid |
| Credit | 0.00 |
| Device peak FLOPS | 1,168.21 GFLOPS |
| Application version | Machine Learning Dataset Generator (GPU) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 1.63 GB |
| Peak swap size | 3.57 GB |
| Peak disk usage | 1.54 GB |
Stderr output
<core_client_version>7.16.20</core_client_version> <![CDATA[ <message> aborted by user</message> <stderr_txt> ss: 0.0311849 | val_loss: 0.0311898 | Time: 44180.6 ms [2022-01-16 12:46:18 main:574] : INFO : Epoch 595 | loss: 0.0311852 | val_loss: 0.0311903 | Time: 44187.6 ms [2022-01-16 12:47:02 main:574] : INFO : Epoch 596 | loss: 0.0311834 | val_loss: 0.0311886 | Time: 44050.7 ms [2022-01-16 12:47:46 main:574] : INFO : Epoch 597 | loss: 0.0311838 | val_loss: 0.0311879 | Time: 44197.1 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GT 1030) [2022-01-16 12:51:54 main:435] : INFO : Set logging level to 1 [2022-01-16 12:51:54 main:441] : INFO : Running in BOINC Client mode [2022-01-16 12:51:54 main:444] : INFO : Resolving all filenames [2022-01-16 12:51:54 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-01-16 12:51:54 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-01-16 12:51:54 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-01-16 12:51:54 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1) [2022-01-16 12:51:54 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-01-16 12:51:55 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-01-16 12:51:55 main:474] : INFO : Configuration: [2022-01-16 12:51:55 main:475] : INFO : Model type: GRU [2022-01-16 12:51:55 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-01-16 12:51:55 main:477] : INFO : Max Epochs: 2048 [2022-01-16 12:51:55 main:478] : INFO : Batch Size: 128 [2022-01-16 12:52:00 main:479] : INFO : Learning Rate: 0.01 [2022-01-16 12:52:05 main:480] : INFO : Patience: 10 [2022-01-16 12:52:05 main:481] : INFO : Hidden Width: 12 [2022-01-16 12:52:05 main:482] : INFO : # Recurrent Layers: 4 [2022-01-16 12:52:05 main:483] : INFO : # Backend Layers: 4 [2022-01-16 12:52:05 main:484] : INFO : # Threads: 1 [2022-01-16 12:52:05 main:486] : INFO : Preparing Dataset [2022-01-16 12:52:05 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-01-16 12:53:43 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory [2022-01-16 12:56:31 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2022-01-16 12:56:31 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory [2022-01-16 12:56:46 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory [2022-01-16 12:56:47 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2022-01-16 12:56:47 main:494] : INFO : Creating Model [2022-01-16 12:56:52 main:507] : INFO : Preparing config file [2022-01-16 12:56:52 main:511] : INFO : Found checkpoint, attempting to load... [2022-01-16 12:56:52 main:512] : INFO : Loading config [2022-01-16 12:56:52 main:514] : INFO : Loading state [2022-01-16 12:57:36 main:559] : INFO : Loading DataLoader into Memory [2022-01-16 12:57:36 main:562] : INFO : Starting Training [2022-01-16 13:03:17 main:574] : INFO : Epoch 597 | loss: 0.0315572 | val_loss: 0.0313451 | Time: 340404 ms [2022-01-16 13:08:56 main:574] : INFO : Epoch 598 | loss: 0.031267 | val_loss: 0.0312386 | Time: 339525 ms [2022-01-16 13:14:35 main:574] : INFO : Epoch 599 | loss: 0.0312184 | val_loss: 0.0312036 | Time: 338365 ms [2022-01-16 13:20:23 main:574] : INFO : Epoch 600 | loss: 0.0311943 | val_loss: 0.0311934 | Time: 347875 ms [2022-01-16 13:23:31 main:574] : INFO : Epoch 601 | loss: 0.0311883 | val_loss: 0.0311829 | Time: 188153 ms [2022-01-16 13:24:16 main:574] : INFO : Epoch 602 | loss: 0.0311819 | val_loss: 0.0311818 | Time: 43897.1 ms [2022-01-16 13:25:02 main:574] : INFO : Epoch 603 | loss: 0.0311805 | val_loss: 0.0311821 | Time: 44964.7 ms [2022-01-16 13:25:47 main:574] : INFO : Epoch 604 | loss: 0.0311782 | val_loss: 0.031182 | Time: 44299.4 ms [2022-01-16 13:26:31 main:574] : INFO : Epoch 605 | loss: 0.0311779 | val_loss: 0.0311943 | Time: 44406.3 ms [2022-01-16 13:27:19 main:574] : INFO : Epoch 606 | loss: 0.0311796 | val_loss: 0.0311786 | Time: 47322.6 ms [2022-01-16 13:28:03 main:574] : INFO : Epoch 607 | loss: 0.0311778 | val_loss: 0.0311854 | Time: 44219.2 ms [2022-01-16 13:28:48 main:574] : INFO : Epoch 608 | loss: 0.0311785 | val_loss: 0.0311806 | Time: 44075.7 ms [2022-01-16 13:29:32 main:574] : INFO : Epoch 609 | loss: 0.0311756 | val_loss: 0.0311797 | Time: 44273.7 ms [2022-01-16 13:30:17 main:574] : INFO : Epoch 610 | loss: 0.0311723 | val_loss: 0.031178 | Time: 44533.6 ms [2022-01-16 13:31:01 main:574] : INFO : Epoch 611 | loss: 0.0311718 | val_loss: 0.0311791 | Time: 44321.8 ms [2022-01-16 13:31:45 main:574] : INFO : Epoch 612 | loss: 0.0311707 | val_loss: 0.0311806 | Time: 44150.2 ms [2022-01-16 13:32:30 main:574] : INFO : Epoch 613 | loss: 0.0311742 | val_loss: 0.0311837 | Time: 44312.6 ms [2022-01-16 13:33:14 main:574] : INFO : Epoch 614 | loss: 0.031171 | val_loss: 0.0311816 | Time: 44300.1 ms [2022-01-16 13:33:59 main:574] : INFO : Epoch 615 | loss: 0.0311708 | val_loss: 0.0311786 | Time: 44321.5 ms [2022-01-16 13:34:43 main:574] : INFO : Epoch 616 | loss: 0.031169 | val_loss: 0.0311784 | Time: 44195.9 ms [2022-01-16 13:35:27 main:574] : INFO : Epoch 617 | loss: 0.0311728 | val_loss: 0.0311797 | Time: 44281.4 ms [2022-01-16 13:36:12 main:574] : INFO : Epoch 618 | loss: 0.0311754 | val_loss: 0.0311822 | Time: 44272 ms [2022-01-16 13:36:56 main:574] : INFO : Epoch 619 | loss: 0.031172 | val_loss: 0.0311859 | Time: 44272.7 ms [2022-01-16 13:37:40 main:574] : INFO : Epoch 620 | loss: 0.0311773 | val_loss: 0.0311816 | Time: 44268 ms [2022-01-16 13:38:25 main:574] : INFO : Epoch 621 | loss: 0.031172 | val_loss: 0.0311785 | Time: 44213.9 ms [2022-01-16 13:39:09 main:574] : INFO : Epoch 622 | loss: 0.0311702 | val_loss: 0.0311786 | Time: 44191.1 ms [2022-01-16 13:39:53 main:574] : INFO : Epoch 623 | loss: 0.0311709 | val_loss: 0.0311786 | Time: 44296.9 ms [2022-01-16 13:40:38 main:574] : INFO : Epoch 624 | loss: 0.0311698 | val_loss: 0.0311818 | Time: 44336.1 ms [2022-01-16 13:41:22 main:574] : INFO : Epoch 625 | loss: 0.03117 | val_loss: 0.0311788 | Time: 44205.8 ms [2022-01-16 13:42:07 main:574] : INFO : Epoch 626 | loss: 0.0311716 | val_loss: 0.0311815 | Time: 44309.8 ms [2022-01-16 13:42:51 main:574] : INFO : Epoch 627 | loss: 0.031171 | val_loss: 0.0311794 | Time: 44189.3 ms [2022-01-16 13:43:35 main:574] : INFO : Epoch 628 | loss: 0.0311689 | val_loss: 0.0311787 | Time: 44211.2 ms [2022-01-16 13:44:20 main:574] : INFO : Epoch 629 | loss: 0.0311712 | val_loss: 0.0311753 | Time: 44337.1 ms [2022-01-16 13:45:04 main:574] : INFO : Epoch 630 | loss: 0.0311703 | val_loss: 0.0311782 | Time: 44225.2 ms [2022-01-16 13:45:48 main:574] : INFO : Epoch 631 | loss: 0.0311707 | val_loss: 0.0311763 | Time: 44248 ms [2022-01-16 13:46:33 main:574] : INFO : Epoch 632 | loss: 0.0311692 | val_loss: 0.0311739 | Time: 44205.1 ms [2022-01-16 13:47:17 main:574] : INFO : Epoch 633 | loss: 0.0311683 | val_loss: 0.0311765 | Time: 44267.6 ms [2022-01-16 13:48:02 main:574] : INFO : Epoch 634 | loss: 0.0311683 | val_loss: 0.0311758 | Time: 44354.5 ms [2022-01-16 13:48:46 main:574] : INFO : Epoch 635 | loss: 0.0311713 | val_loss: 0.0311767 | Time: 44192.4 ms [2022-01-16 13:49:30 main:574] : INFO : Epoch 636 | loss: 0.0311688 | val_loss: 0.0311732 | Time: 44193.5 ms [2022-01-16 13:50:15 main:574] : INFO : Epoch 637 | loss: 0.0311685 | val_loss: 0.0311748 | Time: 44273.3 ms [2022-01-16 13:50:59 main:574] : INFO : Epoch 638 | loss: 0.0311687 | val_loss: 0.0311736 | Time: 44167.5 ms [2022-01-16 13:51:44 main:574] : INFO : Epoch 639 | loss: 0.0311683 | val_loss: 0.0311759 | Time: 44178 ms [2022-01-16 13:52:28 main:574] : INFO : Epoch 640 | loss: 0.0311705 | val_loss: 0.0311748 | Time: 44186.3 ms [2022-01-16 13:53:12 main:574] : INFO : Epoch 641 | loss: 0.0311697 | val_loss: 0.0311766 | Time: 44170.9 ms [2022-01-16 13:53:56 main:574] : INFO : Epoch 642 | loss: 0.0311695 | val_loss: 0.0311765 | Time: 44281.6 ms [2022-01-16 13:54:41 main:574] : INFO : Epoch 643 | loss: 0.0311712 | val_loss: 0.0311785 | Time: 44323.5 ms [2022-01-16 13:55:25 main:574] : INFO : Epoch 644 | loss: 0.0311715 | val_loss: 0.0311755 | Time: 44131.6 ms [2022-01-16 13:56:09 main:574] : INFO : Epoch 645 | loss: 0.0311711 | val_loss: 0.0311806 | Time: 44288 ms [2022-01-16 13:56:54 main:574] : INFO : Epoch 646 | loss: 0.0311692 | val_loss: 0.0311793 | Time: 44163.1 ms [2022-01-16 13:57:38 main:574] : INFO : Epoch 647 | loss: 0.0311675 | val_loss: 0.0311765 | Time: 44302.5 ms [2022-01-16 13:58:23 main:574] : INFO : Epoch 648 | loss: 0.0311678 | val_loss: 0.031177 | Time: 44245.8 ms [2022-01-16 13:59:07 main:574] : INFO : Epoch 649 | loss: 0.0311673 | val_loss: 0.0311765 | Time: 44259.8 ms [2022-01-16 13:59:51 main:574] : INFO : Epoch 650 | loss: 0.0311692 | val_loss: 0.0311779 | Time: 44179.8 ms [2022-01-16 14:00:36 main:574] : INFO : Epoch 651 | loss: 0.0311695 | val_loss: 0.0311774 | Time: 44341 ms [2022-01-16 14:01:20 main:574] : INFO : Epoch 652 | loss: 0.0311659 | val_loss: 0.0311778 | Time: 44398.5 ms [2022-01-16 14:02:04 main:574] : INFO : Epoch 653 | loss: 0.0311658 | val_loss: 0.0311817 | Time: 44140.9 ms [2022-01-16 14:02:49 main:574] : INFO : Epoch 654 | loss: 0.0311647 | val_loss: 0.0311784 | Time: 44176.8 ms [2022-01-16 14:03:33 main:574] : INFO : Epoch 655 | loss: 0.0311638 | val_loss: 0.0311769 | Time: 44222 ms [2022-01-16 14:04:17 main:574] : INFO : Epoch 656 | loss: 0.0311647 | val_loss: 0.0311773 | Time: 44078.1 ms [2022-01-16 14:05:02 main:574] : INFO : Epoch 657 | loss: 0.0311637 | val_loss: 0.0311831 | Time: 44250.7 ms [2022-01-16 14:05:46 main:574] : INFO : Epoch 658 | loss: 0.0311639 | val_loss: 0.0311769 | Time: 44177.4 ms [2022-01-16 14:06:31 main:574] : INFO : Epoch 659 | loss: 0.0311643 | val_loss: 0.0311839 | Time: 44451.5 ms [2022-01-16 14:07:15 main:574] : INFO : Epoch 660 | loss: 0.0311704 | val_loss: 0.0311882 | Time: 44104.6 ms [2022-01-16 14:07:59 main:574] : INFO : Epoch 661 | loss: 0.0311654 | val_loss: 0.0311781 | Time: 44096.2 ms [2022-01-16 14:08:43 main:574] : INFO : Epoch 662 | loss: 0.0311643 | val_loss: 0.0311772 | Time: 44199.1 ms [2022-01-16 14:09:28 main:574] : INFO : Epoch 663 | loss: 0.0311668 | val_loss: 0.0311759 | Time: 44086.4 ms [2022-01-16 14:10:12 main:574] : INFO : Epoch 664 | loss: 0.0311666 | val_loss: 0.0311823 | Time: 44056.6 ms [2022-01-16 14:10:56 main:574] : INFO : Epoch 665 | loss: 0.0311646 | val_loss: 0.031179 | Time: 44215 ms [2022-01-16 14:11:40 main:574] : INFO : Epoch 666 | loss: 0.0311636 | val_loss: 0.03118 | Time: 43939.8 ms [2022-01-16 14:12:24 main:574] : INFO : Epoch 667 | loss: 0.0311629 | val_loss: 0.0311745 | Time: 44104 ms [2022-01-16 14:13:08 main:574] : INFO : Epoch 668 | loss: 0.0311626 | val_loss: 0.0311767 | Time: 44094.9 ms [2022-01-16 14:13:53 main:574] : INFO : Epoch 669 | loss: 0.0311621 | val_loss: 0.0311768 | Time: 44183.4 ms [2022-01-16 14:14:37 main:574] : INFO : Epoch 670 | loss: 0.0311613 | val_loss: 0.0311765 | Time: 44167.8 ms [2022-01-16 14:15:21 main:574] : INFO : Epoch 671 | loss: 0.031161 | val_loss: 0.0311754 | Time: 44216.4 ms [2022-01-16 14:16:05 main:574] : INFO : Epoch 672 | loss: 0.0311611 | val_loss: 0.0311746 | Time: 43970.3 ms [2022-01-16 14:16:50 main:574] : INFO : Epoch 673 | loss: 0.0311616 | val_loss: 0.0311836 | Time: 44205.6 ms [2022-01-16 14:17:36 main:574] : INFO : Epoch 674 | loss: 0.0311639 | val_loss: 0.0311735 | Time: 46419.1 ms [2022-01-16 14:18:23 main:574] : INFO : Epoch 675 | loss: 0.031161 | val_loss: 0.0311782 | Time: 46311.8 ms [2022-01-16 14:19:09 main:574] : INFO : Epoch 676 | loss: 0.0311593 | val_loss: 0.0311773 | Time: 46739.7 ms [2022-01-16 14:22:58 main:574] : INFO : Epoch 677 | loss: 0.0311593 | val_loss: 0.0311771 | Time: 228031 ms [2022-01-16 14:28:41 main:574] : INFO : Epoch 678 | loss: 0.0311601 | val_loss: 0.0311758 | Time: 343106 ms [2022-01-16 14:34:38 main:574] : INFO : Epoch 679 | loss: 0.03116 | val_loss: 0.0311779 | Time: 357383 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GT 1030) [2022-01-17 05:40:30 main:435] : INFO : Set logging level to 1 [2022-01-17 05:40:30 main:441] : INFO : Running in BOINC Client mode [2022-01-17 05:40:30 main:444] : INFO : Resolving all filenames [2022-01-17 05:40:30 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-01-17 05:40:30 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-01-17 05:40:30 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-01-17 05:40:30 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1) [2022-01-17 05:40:31 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-01-17 05:40:31 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-01-17 05:40:31 main:474] : INFO : Configuration: [2022-01-17 05:40:32 main:475] : INFO : Model type: GRU [2022-01-17 05:40:32 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-01-17 05:40:32 main:477] : INFO : Max Epochs: 2048 [2022-01-17 05:40:39 main:478] : INFO : Batch Size: 128 [2022-01-17 05:40:39 main:479] : INFO : Learning Rate: 0.01 [2022-01-17 05:40:39 main:480] : INFO : Patience: 10 [2022-01-17 05:40:39 main:481] : INFO : Hidden Width: 12 [2022-01-17 05:40:39 main:482] : INFO : # Recurrent Layers: 4 [2022-01-17 05:40:39 main:483] : INFO : # Backend Layers: 4 [2022-01-17 05:40:39 main:484] : INFO : # Threads: 1 [2022-01-17 05:40:40 main:486] : INFO : Preparing Dataset [2022-01-17 05:40:40 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-01-17 05:42:40 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory [2022-01-17 05:46:29 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2022-01-17 05:46:29 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory [2022-01-17 05:46:48 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory [2022-01-17 05:46:49 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2022-01-17 05:46:49 main:494] : INFO : Creating Model [2022-01-17 05:46:52 main:507] : INFO : Preparing config file [2022-01-17 05:46:52 main:511] : INFO : Found checkpoint, attempting to load... [2022-01-17 05:46:52 main:512] : INFO : Loading config [2022-01-17 05:46:53 main:514] : INFO : Loading state [2022-01-17 05:48:32 main:559] : INFO : Loading DataLoader into Memory [2022-01-17 05:48:38 main:562] : INFO : Starting Training [2022-01-17 05:55:12 main:574] : INFO : Epoch 680 | loss: 0.0313338 | val_loss: 0.0312361 | Time: 394062 ms [2022-01-17 06:00:56 main:574] : INFO : Epoch 681 | loss: 0.0311852 | val_loss: 0.0311834 | Time: 344156 ms [2022-01-17 06:07:00 main:574] : INFO : Epoch 682 | loss: 0.0311686 | val_loss: 0.0311839 | Time: 363259 ms [2022-01-17 06:13:03 main:574] : INFO : Epoch 683 | loss: 0.0311677 | val_loss: 0.0311833 | Time: 363307 ms [2022-01-17 06:19:09 main:574] : INFO : Epoch 684 | loss: 0.0311669 | val_loss: 0.0311767 | Time: 365540 ms [2022-01-17 06:25:20 main:574] : INFO : Epoch 685 | loss: 0.031163 | val_loss: 0.0311786 | Time: 371609 ms [2022-01-17 06:31:24 main:574] : INFO : Epoch 686 | loss: 0.0311639 | val_loss: 0.0311762 | Time: 363301 ms [2022-01-17 06:37:25 main:574] : INFO : Epoch 687 | loss: 0.0311638 | val_loss: 0.031176 | Time: 360934 ms [2022-01-17 06:43:32 main:574] : INFO : Epoch 688 | loss: 0.0311634 | val_loss: 0.0311773 | Time: 366878 ms [2022-01-17 06:49:28 main:574] : INFO : Epoch 689 | loss: 0.031171 | val_loss: 0.0311772 | Time: 356185 ms [2022-01-17 06:55:43 main:574] : INFO : Epoch 690 | loss: 0.0311697 | val_loss: 0.0311783 | Time: 375186 ms [2022-01-17 07:01:44 main:574] : INFO : Epoch 691 | loss: 0.0311685 | val_loss: 0.0311752 | Time: 360926 ms [2022-01-17 07:08:01 main:574] : INFO : Epoch 692 | loss: 0.031171 | val_loss: 0.031175 | Time: 376384 ms [2022-01-17 07:13:56 main:574] : INFO : Epoch 693 | loss: 0.0311726 | val_loss: 0.0311731 | Time: 354957 ms [2022-01-17 07:19:50 main:574] : INFO : Epoch 694 | loss: 0.0311721 | val_loss: 0.0311752 | Time: 353813 ms [2022-01-17 07:26:00 main:574] : INFO : Epoch 695 | loss: 0.0311734 | val_loss: 0.0311768 | Time: 370420 ms [2022-01-17 07:31:54 main:574] : INFO : Epoch 696 | loss: 0.031171 | val_loss: 0.0311737 | Time: 353859 ms [2022-01-17 07:38:08 main:574] : INFO : Epoch 697 | loss: 0.0311676 | val_loss: 0.031174 | Time: 369252 ms [2022-01-17 07:44:15 main:574] : INFO : Epoch 698 | loss: 0.0311709 | val_loss: 0.0311733 | Time: 366876 ms [2022-01-17 07:50:21 main:574] : INFO : Epoch 699 | loss: 0.0311676 | val_loss: 0.0311752 | Time: 365690 ms [2022-01-17 07:56:36 main:574] : INFO : Epoch 700 | loss: 0.0311674 | val_loss: 0.0311759 | Time: 375117 ms [2022-01-17 08:02:25 main:574] : INFO : Epoch 701 | loss: 0.0311678 | val_loss: 0.0311743 | Time: 349059 ms [2022-01-17 08:08:44 main:574] : INFO : Epoch 702 | loss: 0.0311674 | val_loss: 0.031179 | Time: 378746 ms [2022-01-17 08:14:41 main:574] : INFO : Epoch 703 | loss: 0.0311682 | val_loss: 0.0311786 | Time: 357371 ms [2022-01-17 08:20:32 main:574] : INFO : Epoch 704 | loss: 0.0311678 | val_loss: 0.0311776 | Time: 350265 ms [2022-01-17 08:26:39 main:574] : INFO : Epoch 705 | loss: 0.0311664 | val_loss: 0.0311766 | Time: 366836 ms [2022-01-17 08:32:40 main:574] : INFO : Epoch 706 | loss: 0.0311671 | val_loss: 0.0311786 | Time: 360937 ms [2022-01-17 08:38:42 main:574] : INFO : Epoch 707 | loss: 0.031168 | val_loss: 0.0311754 | Time: 362125 ms [2022-01-17 08:44:49 main:574] : INFO : Epoch 708 | loss: 0.0311726 | val_loss: 0.0311791 | Time: 366872 ms [2022-01-17 08:50:45 main:574] : INFO : Epoch 709 | loss: 0.0311729 | val_loss: 0.0311779 | Time: 356188 ms [2022-01-17 08:56:39 main:574] : INFO : Epoch 710 | loss: 0.0311729 | val_loss: 0.031179 | Time: 353803 ms [2022-01-17 09:02:39 main:574] : INFO : Epoch 711 | loss: 0.0311714 | val_loss: 0.0311784 | Time: 359749 ms [2022-01-17 09:08:52 main:574] : INFO : Epoch 712 | loss: 0.031171 | val_loss: 0.031183 | Time: 372848 ms [2022-01-17 09:15:06 main:574] : INFO : Epoch 713 | loss: 0.0311699 | val_loss: 0.031179 | Time: 369255 ms [2022-01-17 09:17:10 main:574] : INFO : Epoch 714 | loss: 0.0311687 | val_loss: 0.0311812 | Time: 124702 ms [2022-01-17 09:22:57 main:574] : INFO : Epoch 715 | loss: 0.0311693 | val_loss: 0.0311775 | Time: 344710 ms [2022-01-17 09:29:04 main:574] : INFO : Epoch 716 | loss: 0.0311695 | val_loss: 0.0311765 | Time: 366851 ms [2022-01-17 09:35:09 main:574] : INFO : Epoch 717 | loss: 0.0311697 | val_loss: 0.0311789 | Time: 364505 ms [2022-01-17 09:41:14 main:574] : INFO : Epoch 718 | loss: 0.031169 | val_loss: 0.0311752 | Time: 360948 ms [2022-01-17 09:47:18 main:574] : INFO : Epoch 719 | loss: 0.0311689 | val_loss: 0.0311736 | Time: 363346 ms [2022-01-17 09:53:19 main:574] : INFO : Epoch 720 | loss: 0.0311714 | val_loss: 0.0311767 | Time: 360904 ms [2022-01-17 09:59:16 main:574] : INFO : Epoch 721 | loss: 0.0311675 | val_loss: 0.031178 | Time: 357372 ms [2022-01-17 10:05:24 main:574] : INFO : Epoch 722 | loss: 0.0311671 | val_loss: 0.0311771 | Time: 368071 ms [2022-01-17 10:11:24 main:574] : INFO : Epoch 723 | loss: 0.0311664 | val_loss: 0.031177 | Time: 359715 ms [2022-01-17 10:17:23 main:574] : INFO : Epoch 724 | loss: 0.0311674 | val_loss: 0.0311782 | Time: 358548 ms [2022-01-17 10:23:21 main:574] : INFO : Epoch 725 | loss: 0.0311658 | val_loss: 0.0311766 | Time: 358529 ms [2022-01-17 10:29:39 main:574] : INFO : Epoch 726 | loss: 0.0311662 | val_loss: 0.0311788 | Time: 377567 ms [2022-01-17 10:35:41 main:574] : INFO : Epoch 727 | loss: 0.0311685 | val_loss: 0.0311772 | Time: 362126 ms [2022-01-17 10:41:53 main:574] : INFO : Epoch 728 | loss: 0.0311689 | val_loss: 0.0311837 | Time: 371639 ms [2022-01-17 10:47:38 main:574] : INFO : Epoch 729 | loss: 0.0311691 | val_loss: 0.0311758 | Time: 345474 ms [2022-01-17 10:53:39 main:574] : INFO : Epoch 730 | loss: 0.0311676 | val_loss: 0.0311845 | Time: 360940 ms [2022-01-17 10:59:37 main:574] : INFO : Epoch 731 | loss: 0.0311703 | val_loss: 0.0311771 | Time: 357380 ms [2022-01-17 11:05:45 main:574] : INFO : Epoch 732 | loss: 0.0311691 | val_loss: 0.0311851 | Time: 368046 ms [2022-01-17 11:11:51 main:574] : INFO : Epoch 733 | loss: 0.0311693 | val_loss: 0.0311851 | Time: 365688 ms [2022-01-17 11:17:43 main:574] : INFO : Epoch 734 | loss: 0.031167 | val_loss: 0.0311805 | Time: 352628 ms [2022-01-17 11:23:57 main:574] : INFO : Epoch 735 | loss: 0.0311673 | val_loss: 0.0311806 | Time: 373968 ms [2022-01-17 11:29:44 main:574] : INFO : Epoch 736 | loss: 0.0311656 | val_loss: 0.0311813 | Time: 346700 ms [2022-01-17 11:35:43 main:574] : INFO : Epoch 737 | loss: 0.0311681 | val_loss: 0.0311789 | Time: 358548 ms [2022-01-17 11:41:57 main:574] : INFO : Epoch 738 | loss: 0.031168 | val_loss: 0.0311821 | Time: 373997 ms [2022-01-17 11:48:03 main:574] : INFO : Epoch 739 | loss: 0.0311701 | val_loss: 0.0311817 | Time: 365680 ms [2022-01-17 11:54:02 main:574] : INFO : Epoch 740 | loss: 0.0311703 | val_loss: 0.0311775 | Time: 359545 ms [2022-01-17 12:00:07 main:574] : INFO : Epoch 741 | loss: 0.0311681 | val_loss: 0.0311788 | Time: 364503 ms [2022-01-17 12:05:57 main:574] : INFO : Epoch 742 | loss: 0.0311653 | val_loss: 0.031181 | Time: 350254 ms [2022-01-17 12:11:50 main:574] : INFO : Epoch 743 | loss: 0.0311645 | val_loss: 0.0311846 | Time: 352612 ms [2022-01-17 12:18:02 main:574] : INFO : Epoch 744 | loss: 0.0311648 | val_loss: 0.0311863 | Time: 371591 ms [2022-01-17 12:23:48 main:574] : INFO : Epoch 745 | loss: 0.0311649 | val_loss: 0.031181 | Time: 346685 ms [2022-01-17 12:29:49 main:574] : INFO : Epoch 746 | loss: 0.0311646 | val_loss: 0.0311781 | Time: 360921 ms [2022-01-17 12:35:52 main:574] : INFO : Epoch 747 | loss: 0.0311666 | val_loss: 0.031184 | Time: 362111 ms [2022-01-17 12:41:36 main:574] : INFO : Epoch 748 | loss: 0.0311647 | val_loss: 0.0311799 | Time: 344302 ms [2022-01-17 12:47:31 main:574] : INFO : Epoch 749 | loss: 0.0311654 | val_loss: 0.0311802 | Time: 354987 ms [2022-01-17 12:53:40 main:574] : INFO : Epoch 750 | loss: 0.031171 | val_loss: 0.0311813 | Time: 369210 ms [2022-01-17 12:59:52 main:574] : INFO : Epoch 751 | loss: 0.0311735 | val_loss: 0.0311763 | Time: 371628 ms [2022-01-17 13:06:01 main:574] : INFO : Epoch 752 | loss: 0.031175 | val_loss: 0.0311756 | Time: 369249 ms [2022-01-17 13:12:02 main:574] : INFO : Epoch 753 | loss: 0.0311705 | val_loss: 0.0311779 | Time: 360949 ms [2022-01-17 13:18:00 main:574] : INFO : Epoch 754 | loss: 0.0311673 | val_loss: 0.0311778 | Time: 357353 ms [2022-01-17 13:23:15 main:574] : INFO : Epoch 755 | loss: 0.0311667 | val_loss: 0.0311746 | Time: 314616 ms [2022-01-17 13:26:40 main:574] : INFO : Epoch 756 | loss: 0.0311696 | val_loss: 0.0311825 | Time: 204644 ms [2022-01-17 13:32:49 main:574] : INFO : Epoch 757 | loss: 0.0311722 | val_loss: 0.0311799 | Time: 369166 ms [2022-01-17 13:38:42 main:574] : INFO : Epoch 758 | loss: 0.0311666 | val_loss: 0.0311771 | Time: 347876 ms [2022-01-17 13:45:08 main:574] : INFO : Epoch 759 | loss: 0.0311686 | val_loss: 0.0311774 | Time: 385881 ms [2022-01-17 13:51:20 main:574] : INFO : Epoch 760 | loss: 0.0311723 | val_loss: 0.0311777 | Time: 371624 ms [2022-01-17 13:57:27 main:574] : INFO : Epoch 761 | loss: 0.0311674 | val_loss: 0.0311811 | Time: 366878 ms [2022-01-17 14:03:30 main:574] : INFO : Epoch 762 | loss: 0.0311663 | val_loss: 0.0311797 | Time: 363297 ms [2022-01-17 14:09:25 main:574] : INFO : Epoch 763 | loss: 0.0311659 | val_loss: 0.0311817 | Time: 354975 ms [2022-01-17 14:15:24 main:574] : INFO : Epoch 764 | loss: 0.031169 | val_loss: 0.03118 | Time: 358564 ms [2022-01-17 14:21:31 main:574] : INFO : Epoch 765 | loss: 0.0311701 | val_loss: 0.0311813 | Time: 366864 ms [2022-01-17 14:27:18 main:574] : INFO : Epoch 766 | loss: 0.0311705 | val_loss: 0.0311772 | Time: 347875 ms [2022-01-17 14:33:09 main:574] : INFO : Epoch 767 | loss: 0.031168 | val_loss: 0.0311792 | Time: 350254 ms [2022-01-17 14:38:59 main:574] : INFO : Epoch 768 | loss: 0.0311698 | val_loss: 0.0311795 | Time: 350256 ms [2022-01-17 14:44:47 main:574] : INFO : Epoch 769 | loss: 0.0311685 | val_loss: 0.0311771 | Time: 347687 ms [2022-01-17 14:50:44 main:574] : INFO : Epoch 770 | loss: 0.0311675 | val_loss: 0.0311808 | Time: 357370 ms [2022-01-17 14:56:48 main:574] : INFO : Epoch 771 | loss: 0.0311676 | val_loss: 0.0311779 | Time: 363345 ms [2022-01-17 15:02:54 main:574] : INFO : Epoch 772 | loss: 0.0311682 | val_loss: 0.0311785 | Time: 365663 ms [2022-01-17 15:08:59 main:574] : INFO : Epoch 773 | loss: 0.0311672 | val_loss: 0.0311771 | Time: 365681 ms [2022-01-17 15:14:53 main:574] : INFO : Epoch 774 | loss: 0.0311674 | val_loss: 0.031177 | Time: 353813 ms [2022-01-17 15:20:54 main:574] : INFO : Epoch 775 | loss: 0.0311689 | val_loss: 0.0311763 | Time: 360942 ms [2022-01-17 15:26:47 main:574] : INFO : Epoch 776 | loss: 0.0311677 | val_loss: 0.0311782 | Time: 352604 ms [2022-01-17 15:32:48 main:574] : INFO : Epoch 777 | loss: 0.0311671 | val_loss: 0.0311776 | Time: 360909 ms [2022-01-17 15:38:50 main:574] : INFO : Epoch 778 | loss: 0.0311666 | val_loss: 0.031176 | Time: 362148 ms [2022-01-17 15:44:42 main:574] : INFO : Epoch 779 | loss: 0.0311668 | val_loss: 0.0311791 | Time: 351427 ms [2022-01-17 15:50:49 main:574] : INFO : Epoch 780 | loss: 0.0311667 | val_loss: 0.0311782 | Time: 356197 ms [2022-01-17 15:56:41 main:574] : INFO : Epoch 781 | loss: 0.0311696 | val_loss: 0.0311796 | Time: 352635 ms [2022-01-17 16:02:33 main:574] : INFO : Epoch 782 | loss: 0.03117 | val_loss: 0.0311801 | Time: 351420 ms [2022-01-17 16:08:23 main:574] : INFO : Epoch 783 | loss: 0.0311675 | val_loss: 0.0311782 | Time: 350260 ms [2022-01-17 16:14:23 main:574] : INFO : Epoch 784 | loss: 0.0311667 | val_loss: 0.0311796 | Time: 359746 ms [2022-01-17 16:20:20 main:574] : INFO : Epoch 785 | loss: 0.0311676 | val_loss: 0.0311844 | Time: 357362 ms [2022-01-17 16:26:00 main:574] : INFO : Epoch 786 | loss: 0.031171 | val_loss: 0.0311794 | Time: 339575 ms [2022-01-17 16:32:01 main:574] : INFO : Epoch 787 | loss: 0.0311684 | val_loss: 0.0311783 | Time: 360929 ms [2022-01-17 16:38:02 main:574] : INFO : Epoch 788 | loss: 0.031167 | val_loss: 0.031178 | Time: 360938 ms [2022-01-17 16:43:53 main:574] : INFO : Epoch 789 | loss: 0.0311664 | val_loss: 0.0311791 | Time: 351439 ms [2022-01-17 16:49:51 main:574] : INFO : Epoch 790 | loss: 0.0311713 | val_loss: 0.0311814 | Time: 357390 ms [2022-01-17 16:55:55 main:574] : INFO : Epoch 791 | loss: 0.0311714 | val_loss: 0.0311826 | Time: 364496 ms [2022-01-17 17:01:54 main:574] : INFO : Epoch 792 | loss: 0.0311721 | val_loss: 0.031183 | Time: 353838 ms [2022-01-17 17:07:48 main:574] : INFO : Epoch 793 | loss: 0.0311727 | val_loss: 0.0311803 | Time: 353806 ms [2022-01-17 17:13:43 main:574] : INFO : Epoch 794 | loss: 0.0311707 | val_loss: 0.0311783 | Time: 355011 ms [2022-01-17 17:19:31 main:574] : INFO : Epoch 795 | loss: 0.0311686 | val_loss: 0.0311792 | Time: 347868 ms [2022-01-17 17:25:32 main:574] : INFO : Epoch 796 | loss: 0.0311679 | val_loss: 0.0311802 | Time: 360922 ms [2022-01-17 17:29:51 main:574] : INFO : Epoch 797 | loss: 0.0311691 | val_loss: 0.0311793 | Time: 259313 ms [2022-01-17 17:33:44 main:574] : INFO : Epoch 798 | loss: 0.0311734 | val_loss: 0.0311829 | Time: 231509 ms [2022-01-17 17:40:01 main:574] : INFO : Epoch 799 | loss: 0.0311712 | val_loss: 0.031193 | Time: 377530 ms [2022-01-17 17:46:02 main:574] : INFO : Epoch 800 | loss: 0.0311706 | val_loss: 0.0311847 | Time: 358506 ms [2022-01-17 17:51:59 main:574] : INFO : Epoch 801 | loss: 0.0311683 | val_loss: 0.0311827 | Time: 357391 ms [2022-01-17 17:58:00 main:574] : INFO : Epoch 802 | loss: 0.0311705 | val_loss: 0.031182 | Time: 360946 ms [2022-01-17 18:04:08 main:574] : INFO : Epoch 803 | loss: 0.03117 | val_loss: 0.0311806 | Time: 368041 ms [2022-01-17 18:10:08 main:574] : INFO : Epoch 804 | loss: 0.0311693 | val_loss: 0.0311837 | Time: 359759 ms [2022-01-17 18:16:00 main:574] : INFO : Epoch 805 | loss: 0.031167 | val_loss: 0.0311839 | Time: 351462 ms [2022-01-17 18:21:57 main:574] : INFO : Epoch 806 | loss: 0.0311676 | val_loss: 0.0311847 | Time: 357356 ms [2022-01-17 18:27:51 main:574] : INFO : Epoch 807 | loss: 0.0311666 | val_loss: 0.0311815 | Time: 353842 ms [2022-01-17 18:33:50 main:574] : INFO : Epoch 808 | loss: 0.031172 | val_loss: 0.0311796 | Time: 358555 ms [2022-01-17 18:39:51 main:574] : INFO : Epoch 809 | loss: 0.0311752 | val_loss: 0.0311808 | Time: 360914 ms [2022-01-17 18:45:52 main:574] : INFO : Epoch 810 | loss: 0.031173 | val_loss: 0.0311775 | Time: 360930 ms [2022-01-17 18:51:47 main:574] : INFO : Epoch 811 | loss: 0.0311719 | val_loss: 0.0311767 | Time: 354987 ms [2022-01-17 18:57:46 main:574] : INFO : Epoch 812 | loss: 0.0311732 | val_loss: 0.0311789 | Time: 359761 ms [2022-01-17 19:03:45 main:574] : INFO : Epoch 813 | loss: 0.031172 | val_loss: 0.03118 | Time: 358550 ms [2022-01-17 19:09:33 main:574] : INFO : Epoch 814 | loss: 0.0311736 | val_loss: 0.0311868 | Time: 347831 ms [2022-01-17 19:15:33 main:574] : INFO : Epoch 815 | loss: 0.0311709 | val_loss: 0.0311786 | Time: 359739 ms [2022-01-17 19:21:39 main:574] : INFO : Epoch 816 | loss: 0.0311693 | val_loss: 0.0311778 | Time: 365665 ms [2022-01-17 19:27:40 main:574] : INFO : Epoch 817 | loss: 0.0311698 | val_loss: 0.0311787 | Time: 360905 ms [2022-01-17 19:33:38 main:574] : INFO : Epoch 818 | loss: 0.0311691 | val_loss: 0.0311783 | Time: 358538 ms [2022-01-17 19:39:36 main:574] : INFO : Epoch 819 | loss: 0.0311685 | val_loss: 0.0311802 | Time: 357366 ms [2022-01-17 19:45:45 main:574] : INFO : Epoch 820 | loss: 0.0311702 | val_loss: 0.0311838 | Time: 364417 ms [2022-01-17 19:51:47 main:574] : INFO : Epoch 821 | loss: 0.0311741 | val_loss: 0.0311787 | Time: 357389 ms [2022-01-17 19:57:46 main:574] : INFO : Epoch 822 | loss: 0.0311701 | val_loss: 0.0311841 | Time: 358552 ms [2022-01-17 20:03:54 main:574] : INFO : Epoch 823 | loss: 0.0311699 | val_loss: 0.0311793 | Time: 368065 ms [2022-01-17 20:09:51 main:574] : INFO : Epoch 824 | loss: 0.0311676 | val_loss: 0.0311779 | Time: 357382 ms [2022-01-17 20:15:46 main:574] : INFO : Epoch 825 | loss: 0.0311662 | val_loss: 0.0311788 | Time: 354990 ms [2022-01-17 20:21:41 main:574] : INFO : Epoch 826 | loss: 0.0311659 | val_loss: 0.0311781 | Time: 354992 ms [2022-01-17 20:27:39 main:574] : INFO : Epoch 827 | loss: 0.0311665 | val_loss: 0.0311775 | Time: 357326 ms [2022-01-17 20:33:32 main:574] : INFO : Epoch 828 | loss: 0.0311656 | val_loss: 0.0311768 | Time: 352575 ms [2022-01-17 20:39:29 main:574] : INFO : Epoch 829 | loss: 0.0311668 | val_loss: 0.0311808 | Time: 357386 ms [2022-01-17 20:45:48 main:574] : INFO : Epoch 830 | loss: 0.0311731 | val_loss: 0.0311822 | Time: 374010 ms [2022-01-17 20:51:48 main:574] : INFO : Epoch 831 | loss: 0.0311702 | val_loss: 0.0311786 | Time: 359744 ms [2022-01-17 20:57:49 main:574] : INFO : Epoch 832 | loss: 0.031167 | val_loss: 0.0311802 | Time: 360923 ms [2022-01-17 21:03:47 main:574] : INFO : Epoch 833 | loss: 0.0311666 | val_loss: 0.0311761 | Time: 358568 ms [2022-01-17 21:09:38 main:574] : INFO : Epoch 834 | loss: 0.0311669 | val_loss: 0.0311795 | Time: 350247 ms [2022-01-17 21:15:23 main:574] : INFO : Epoch 835 | loss: 0.031166 | val_loss: 0.0311801 | Time: 345491 ms [2022-01-17 21:21:29 main:574] : INFO : Epoch 836 | loss: 0.0311657 | val_loss: 0.0311786 | Time: 365617 ms [2022-01-17 21:27:33 main:574] : INFO : Epoch 837 | loss: 0.0311659 | val_loss: 0.0311797 | Time: 364518 ms [2022-01-17 21:33:44 main:574] : INFO : Epoch 838 | loss: 0.0311683 | val_loss: 0.0311847 | Time: 365697 ms [2022-01-17 21:38:58 main:574] : INFO : Epoch 839 | loss: 0.0311757 | val_loss: 0.0311853 | Time: 314293 ms [2022-01-17 21:42:23 main:574] : INFO : Epoch 840 | loss: 0.0311694 | val_loss: 0.0311793 | Time: 203815 ms [2022-01-17 21:48:20 main:574] : INFO : Epoch 841 | loss: 0.0311646 | val_loss: 0.0311782 | Time: 357331 ms [2022-01-17 21:54:15 main:574] : INFO : Epoch 842 | loss: 0.0311649 | val_loss: 0.031187 | Time: 354981 ms [2022-01-17 22:00:06 main:574] : INFO : Epoch 843 | loss: 0.031168 | val_loss: 0.0311806 | Time: 350271 ms [2022-01-17 22:06:11 main:574] : INFO : Epoch 844 | loss: 0.0311665 | val_loss: 0.03118 | Time: 365690 ms [2022-01-17 22:12:04 main:574] : INFO : Epoch 845 | loss: 0.0311658 | val_loss: 0.0311759 | Time: 352622 ms [2022-01-17 22:18:00 main:574] : INFO : Epoch 846 | loss: 0.0311664 | val_loss: 0.0311801 | Time: 356075 ms [2022-01-17 22:23:57 main:574] : INFO : Epoch 847 | loss: 0.0311671 | val_loss: 0.0311778 | Time: 356196 ms [2022-01-17 22:29:56 main:574] : INFO : Epoch 848 | loss: 0.0311672 | val_loss: 0.031181 | Time: 359755 ms [2022-01-17 22:35:55 main:574] : INFO : Epoch 849 | loss: 0.0311676 | val_loss: 0.0311794 | Time: 358444 ms [2022-01-17 22:41:48 main:574] : INFO : Epoch 850 | loss: 0.0311666 | val_loss: 0.0311788 | Time: 352618 ms [2022-01-17 22:47:49 main:574] : INFO : Epoch 851 | loss: 0.0311688 | val_loss: 0.0311784 | Time: 360931 ms [2022-01-17 22:53:57 main:574] : INFO : Epoch 852 | loss: 0.0311661 | val_loss: 0.0311809 | Time: 368086 ms [2022-01-17 22:59:53 main:574] : INFO : Epoch 853 | loss: 0.0311654 | val_loss: 0.0311783 | Time: 356170 ms [2022-01-17 23:05:58 main:574] : INFO : Epoch 854 | loss: 0.0311632 | val_loss: 0.0311802 | Time: 364485 ms [2022-01-17 23:12:00 main:574] : INFO : Epoch 855 | loss: 0.0311644 | val_loss: 0.0311779 | Time: 362134 ms [2022-01-17 23:18:04 main:574] : INFO : Epoch 856 | loss: 0.0311656 | val_loss: 0.031179 | Time: 364513 ms [2022-01-17 23:23:55 main:574] : INFO : Epoch 857 | loss: 0.0311706 | val_loss: 0.0311811 | Time: 350243 ms [2022-01-17 23:30:06 main:574] : INFO : Epoch 858 | loss: 0.031172 | val_loss: 0.0311796 | Time: 371622 ms [2022-01-17 23:36:03 main:574] : INFO : Epoch 859 | loss: 0.0311706 | val_loss: 0.0311771 | Time: 356165 ms [2022-01-17 23:42:04 main:574] : INFO : Epoch 860 | loss: 0.0311706 | val_loss: 0.0311818 | Time: 360946 ms [2022-01-17 23:48:00 main:574] : INFO : Epoch 861 | loss: 0.0311682 | val_loss: 0.0311758 | Time: 356175 ms [2022-01-17 23:53:47 main:574] : INFO : Epoch 862 | loss: 0.0311678 | val_loss: 0.0311793 | Time: 346721 ms [2022-01-17 23:59:52 main:574] : INFO : Epoch 863 | loss: 0.0311686 | val_loss: 0.031178 | Time: 365676 ms [2022-01-18 00:05:55 main:574] : INFO : Epoch 864 | loss: 0.0311668 | val_loss: 0.0311788 | Time: 362126 ms [2022-01-18 00:11:43 main:574] : INFO : Epoch 865 | loss: 0.0311675 | val_loss: 0.0311871 | Time: 347869 ms [2022-01-18 00:17:58 main:574] : INFO : Epoch 866 | loss: 0.0311706 | val_loss: 0.0311777 | Time: 375188 ms [2022-01-18 00:24:04 main:574] : INFO : Epoch 867 | loss: 0.0311671 | val_loss: 0.0311791 | Time: 365671 ms [2022-01-18 00:30:01 main:574] : INFO : Epoch 868 | loss: 0.0311661 | val_loss: 0.0311779 | Time: 357398 ms [2022-01-18 00:35:53 main:574] : INFO : Epoch 869 | loss: 0.0311696 | val_loss: 0.0311799 | Time: 351419 ms [2022-01-18 00:41:54 main:574] : INFO : Epoch 870 | loss: 0.0311682 | val_loss: 0.0311746 | Time: 360939 ms [2022-01-18 00:47:59 main:574] : INFO : Epoch 871 | loss: 0.0311674 | val_loss: 0.0311768 | Time: 365684 ms [2022-01-18 00:53:46 main:574] : INFO : Epoch 872 | loss: 0.0311671 | val_loss: 0.0311759 | Time: 346703 ms [2022-01-18 01:00:00 main:574] : INFO : Epoch 873 | loss: 0.0311663 | val_loss: 0.0311767 | Time: 373999 ms [2022-01-18 01:05:59 main:574] : INFO : Epoch 874 | loss: 0.0311668 | val_loss: 0.0311791 | Time: 358553 ms [2022-01-18 01:11:55 main:574] : INFO : Epoch 875 | loss: 0.0311669 | val_loss: 0.0311775 | Time: 356157 ms [2022-01-18 01:18:00 main:574] : INFO : Epoch 876 | loss: 0.0311664 | val_loss: 0.0311785 | Time: 364508 ms [2022-01-18 01:24:03 main:574] : INFO : Epoch 877 | loss: 0.0311662 | val_loss: 0.0311777 | Time: 363297 ms [2022-01-18 01:30:02 main:574] : INFO : Epoch 878 | loss: 0.0311656 | val_loss: 0.031176 | Time: 358586 ms [2022-01-18 01:36:01 main:574] : INFO : Epoch 879 | loss: 0.0311683 | val_loss: 0.0311812 | Time: 359746 ms [2022-01-18 01:42:18 main:574] : INFO : Epoch 880 | loss: 0.0311656 | val_loss: 0.031176 | Time: 376377 ms [2022-01-18 01:48:15 main:574] : INFO : Epoch 881 | loss: 0.0311643 | val_loss: 0.031177 | Time: 357355 ms [2022-01-18 01:51:15 main:574] : INFO : Epoch 882 | loss: 0.0311639 | val_loss: 0.0311755 | Time: 179319 ms [2022-01-18 01:57:12 main:574] : INFO : Epoch 883 | loss: 0.031166 | val_loss: 0.031179 | Time: 354744 ms [2022-01-18 02:03:09 main:574] : INFO : Epoch 884 | loss: 0.0311673 | val_loss: 0.0311829 | Time: 357399 ms [2022-01-18 02:09:08 main:574] : INFO : Epoch 885 | loss: 0.0311653 | val_loss: 0.0311774 | Time: 358564 ms [2022-01-18 02:15:22 main:574] : INFO : Epoch 886 | loss: 0.0311634 | val_loss: 0.0311804 | Time: 374014 ms [2022-01-18 02:21:27 main:574] : INFO : Epoch 887 | loss: 0.0311637 | val_loss: 0.0311753 | Time: 364493 ms [2022-01-18 02:27:35 main:574] : INFO : Epoch 888 | loss: 0.0311619 | val_loss: 0.0311813 | Time: 368052 ms [2022-01-18 02:33:50 main:574] : INFO : Epoch 889 | loss: 0.0311624 | val_loss: 0.0311815 | Time: 375190 ms [2022-01-18 02:39:46 main:574] : INFO : Epoch 890 | loss: 0.0311624 | val_loss: 0.0311818 | Time: 356127 ms [2022-01-18 02:45:44 main:574] : INFO : Epoch 891 | loss: 0.0311645 | val_loss: 0.0311803 | Time: 357355 ms [2022-01-18 02:51:35 main:574] : INFO : Epoch 892 | loss: 0.031164 | val_loss: 0.0311797 | Time: 351483 ms [2022-01-18 02:57:35 main:574] : INFO : Epoch 893 | loss: 0.0311625 | val_loss: 0.0311766 | Time: 355018 ms [2022-01-18 03:03:34 main:574] : INFO : Epoch 894 | loss: 0.031162 | val_loss: 0.0311764 | Time: 358565 ms [2022-01-18 03:09:28 main:574] : INFO : Epoch 895 | loss: 0.0311641 | val_loss: 0.0311813 | Time: 353794 ms [2022-01-18 03:15:17 main:574] : INFO : Epoch 896 | loss: 0.0311692 | val_loss: 0.0311791 | Time: 349067 ms [2022-01-18 03:21:14 main:574] : INFO : Epoch 897 | loss: 0.0311672 | val_loss: 0.0311788 | Time: 357384 ms [2022-01-18 03:27:09 main:574] : INFO : Epoch 898 | loss: 0.0311659 | val_loss: 0.0311762 | Time: 355000 ms [2022-01-18 03:33:08 main:574] : INFO : Epoch 899 | loss: 0.0311654 | val_loss: 0.0311781 | Time: 358555 ms [2022-01-18 03:39:03 main:574] : INFO : Epoch 900 | loss: 0.0311657 | val_loss: 0.0311794 | Time: 355018 ms [2022-01-18 03:45:10 main:574] : INFO : Epoch 901 | loss: 0.0311644 | val_loss: 0.0311757 | Time: 366864 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GT 1030) [2022-01-18 04:23:19 main:435] : INFO : Set logging level to 1 [2022-01-18 04:23:19 main:441] : INFO : Running in BOINC Client mode [2022-01-18 04:23:19 main:444] : INFO : Resolving all filenames [2022-01-18 04:23:19 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-01-18 04:23:20 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-01-18 04:23:20 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-01-18 04:23:20 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1) [2022-01-18 04:23:20 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-01-18 04:23:20 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-01-18 04:23:20 main:474] : INFO : Configuration: [2022-01-18 04:23:20 main:475] : INFO : Model type: GRU [2022-01-18 04:23:20 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-01-18 04:23:20 main:477] : INFO : Max Epochs: 2048 [2022-01-18 04:23:20 main:478] : INFO : Batch Size: 128 [2022-01-18 04:23:20 main:479] : INFO : Learning Rate: 0.01 [2022-01-18 04:23:20 main:480] : INFO : Patience: 10 [2022-01-18 04:23:20 main:481] : INFO : Hidden Width: 12 [2022-01-18 04:23:20 main:482] : INFO : # Recurrent Layers: 4 [2022-01-18 04:23:20 main:483] : INFO : # Backend Layers: 4 [2022-01-18 04:23:20 main:484] : INFO : # Threads: 1 [2022-01-18 04:23:20 main:486] : INFO : Preparing Dataset [2022-01-18 04:23:20 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-01-18 04:24:48 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory [2022-01-18 04:27:45 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2022-01-18 04:27:45 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory [2022-01-18 04:28:10 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory [2022-01-18 04:28:11 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2022-01-18 04:28:11 main:494] : INFO : Creating Model [2022-01-18 04:28:11 main:507] : INFO : Preparing config file [2022-01-18 04:28:11 main:511] : INFO : Found checkpoint, attempting to load... [2022-01-18 04:28:11 main:512] : INFO : Loading config [2022-01-18 04:28:11 main:514] : INFO : Loading state [2022-01-18 04:29:03 main:559] : INFO : Loading DataLoader into Memory [2022-01-18 04:29:04 main:562] : INFO : Starting Training [2022-01-18 04:35:52 main:574] : INFO : Epoch 902 | loss: 0.0312007 | val_loss: 0.0311934 | Time: 402571 ms [2022-01-18 04:41:54 main:574] : INFO : Epoch 903 | loss: 0.0311711 | val_loss: 0.031178 | Time: 357209 ms [2022-01-18 04:48:08 main:574] : INFO : Epoch 904 | loss: 0.0311679 | val_loss: 0.0311794 | Time: 374000 ms [2022-01-18 04:54:08 main:574] : INFO : Epoch 905 | loss: 0.0311668 | val_loss: 0.0311839 | Time: 359754 ms [2022-01-18 05:00:16 main:574] : INFO : Epoch 906 | loss: 0.0311667 | val_loss: 0.0311778 | Time: 368058 ms [2022-01-18 05:06:08 main:574] : INFO : Epoch 907 | loss: 0.0311658 | val_loss: 0.0311807 | Time: 351446 ms [2022-01-18 05:12:09 main:574] : INFO : Epoch 908 | loss: 0.0311655 | val_loss: 0.031181 | Time: 360932 ms [2022-01-18 05:18:13 main:574] : INFO : Epoch 909 | loss: 0.0311664 | val_loss: 0.0311784 | Time: 364463 ms [2022-01-18 05:24:20 main:574] : INFO : Epoch 910 | loss: 0.0311667 | val_loss: 0.0311744 | Time: 366874 ms [2022-01-18 05:30:17 main:574] : INFO : Epoch 911 | loss: 0.0311655 | val_loss: 0.0311768 | Time: 356194 ms [2022-01-18 05:36:16 main:574] : INFO : Epoch 912 | loss: 0.0311656 | val_loss: 0.0311731 | Time: 359733 ms [2022-01-18 05:42:17 main:574] : INFO : Epoch 913 | loss: 0.0311664 | val_loss: 0.0311811 | Time: 360923 ms [2022-01-18 05:48:20 main:574] : INFO : Epoch 914 | loss: 0.0311669 | val_loss: 0.0311779 | Time: 362135 ms [2022-01-18 05:54:16 main:574] : INFO : Epoch 915 | loss: 0.0311672 | val_loss: 0.031179 | Time: 356173 ms [2022-01-18 06:00:25 main:574] : INFO : Epoch 916 | loss: 0.0311645 | val_loss: 0.0311778 | Time: 369217 ms [2022-01-18 06:06:30 main:574] : INFO : Epoch 917 | loss: 0.0311647 | val_loss: 0.0311824 | Time: 364451 ms [2022-01-18 06:10:06 main:574] : INFO : Epoch 918 | loss: 0.031163 | val_loss: 0.0311755 | Time: 216021 ms [2022-01-18 06:14:38 main:574] : INFO : Epoch 919 | loss: 0.0311634 | val_loss: 0.0311823 | Time: 271189 ms [2022-01-18 06:20:29 main:574] : INFO : Epoch 920 | loss: 0.0311625 | val_loss: 0.0311807 | Time: 351395 ms [2022-01-18 06:27:01 main:574] : INFO : Epoch 921 | loss: 0.0311652 | val_loss: 0.0311799 | Time: 391809 ms [2022-01-18 06:33:12 main:574] : INFO : Epoch 922 | loss: 0.0311633 | val_loss: 0.0311763 | Time: 370460 ms [2022-01-18 06:39:14 main:574] : INFO : Epoch 923 | loss: 0.0311628 | val_loss: 0.0311797 | Time: 362084 ms [2022-01-18 06:45:18 main:574] : INFO : Epoch 924 | loss: 0.0311633 | val_loss: 0.0311837 | Time: 364532 ms [2022-01-18 06:51:17 main:574] : INFO : Epoch 925 | loss: 0.0311634 | val_loss: 0.0311829 | Time: 358530 ms [2022-01-18 06:57:25 main:574] : INFO : Epoch 926 | loss: 0.0311613 | val_loss: 0.0311812 | Time: 368047 ms [2022-01-18 07:03:32 main:574] : INFO : Epoch 927 | loss: 0.0311613 | val_loss: 0.031181 | Time: 366880 ms [2022-01-18 07:09:32 main:574] : INFO : Epoch 928 | loss: 0.0311602 | val_loss: 0.031179 | Time: 359741 ms [2022-01-18 07:15:50 main:574] : INFO : Epoch 929 | loss: 0.0311645 | val_loss: 0.0311837 | Time: 377552 ms [2022-01-18 07:21:41 main:574] : INFO : Epoch 930 | loss: 0.0311624 | val_loss: 0.0311776 | Time: 351441 ms [2022-01-18 07:27:41 main:574] : INFO : Epoch 931 | loss: 0.0311617 | val_loss: 0.0311756 | Time: 359748 ms [2022-01-18 07:33:43 main:574] : INFO : Epoch 932 | loss: 0.0311626 | val_loss: 0.0311783 | Time: 362133 ms [2022-01-18 07:39:52 main:574] : INFO : Epoch 933 | loss: 0.0311615 | val_loss: 0.0311773 | Time: 369258 ms [2022-01-18 07:45:40 main:574] : INFO : Epoch 934 | loss: 0.0311618 | val_loss: 0.0311785 | Time: 347889 ms [2022-01-18 07:51:46 main:574] : INFO : Epoch 935 | loss: 0.0311619 | val_loss: 0.0311857 | Time: 359773 ms [2022-01-18 07:58:05 main:574] : INFO : Epoch 936 | loss: 0.0311643 | val_loss: 0.0311791 | Time: 378764 ms [2022-01-18 08:03:56 main:574] : INFO : Epoch 937 | loss: 0.0311627 | val_loss: 0.0311809 | Time: 351445 ms [2022-01-18 08:10:02 main:574] : INFO : Epoch 938 | loss: 0.0311641 | val_loss: 0.031179 | Time: 365654 ms [2022-01-18 08:15:57 main:574] : INFO : Epoch 939 | loss: 0.0311681 | val_loss: 0.0311787 | Time: 355001 ms [2022-01-18 08:21:55 main:574] : INFO : Epoch 940 | loss: 0.0311682 | val_loss: 0.0311775 | Time: 357368 ms [2022-01-18 08:27:40 main:574] : INFO : Epoch 941 | loss: 0.0311652 | val_loss: 0.0311751 | Time: 345514 ms [2022-01-18 08:33:54 main:574] : INFO : Epoch 942 | loss: 0.0311645 | val_loss: 0.0311775 | Time: 373993 ms [2022-01-18 08:39:52 main:574] : INFO : Epoch 943 | loss: 0.0311643 | val_loss: 0.0311769 | Time: 357321 ms [2022-01-18 08:45:49 main:574] : INFO : Epoch 944 | loss: 0.0311634 | val_loss: 0.0311751 | Time: 357385 ms [2022-01-18 08:51:37 main:574] : INFO : Epoch 945 | loss: 0.031163 | val_loss: 0.0311752 | Time: 347877 ms [2022-01-18 08:57:43 main:574] : INFO : Epoch 946 | loss: 0.0311635 | val_loss: 0.0311755 | Time: 365719 ms [2022-01-18 09:03:35 main:574] : INFO : Epoch 947 | loss: 0.0311632 | val_loss: 0.0311813 | Time: 352587 ms [2022-01-18 09:09:21 main:574] : INFO : Epoch 948 | loss: 0.0311649 | val_loss: 0.031183 | Time: 345497 ms [2022-01-18 09:15:17 main:574] : INFO : Epoch 949 | loss: 0.0311634 | val_loss: 0.0311748 | Time: 356199 ms [2022-01-18 09:21:35 main:574] : INFO : Epoch 950 | loss: 0.0311616 | val_loss: 0.0311756 | Time: 377533 ms [2022-01-18 09:27:37 main:574] : INFO : Epoch 951 | loss: 0.0311622 | val_loss: 0.0311741 | Time: 362126 ms [2022-01-18 09:33:32 main:574] : INFO : Epoch 952 | loss: 0.0311633 | val_loss: 0.031176 | Time: 354986 ms [2022-01-18 09:39:38 main:574] : INFO : Epoch 953 | loss: 0.0311651 | val_loss: 0.0311818 | Time: 365699 ms [2022-01-18 09:45:40 main:574] : INFO : Epoch 954 | loss: 0.0311678 | val_loss: 0.0311775 | Time: 362084 ms [2022-01-18 09:51:43 main:574] : INFO : Epoch 955 | loss: 0.0311674 | val_loss: 0.031179 | Time: 356214 ms [2022-01-18 09:57:42 main:574] : INFO : Epoch 956 | loss: 0.0311656 | val_loss: 0.0311795 | Time: 358543 ms [2022-01-18 10:03:47 main:574] : INFO : Epoch 957 | loss: 0.0311675 | val_loss: 0.0311759 | Time: 364520 ms [2022-01-18 10:09:49 main:574] : INFO : Epoch 958 | loss: 0.0311636 | val_loss: 0.0311798 | Time: 362128 ms [2022-01-18 10:15:56 main:574] : INFO : Epoch 959 | loss: 0.0311648 | val_loss: 0.0311793 | Time: 366901 ms [2022-01-18 10:19:35 main:574] : INFO : Epoch 960 | loss: 0.0311651 | val_loss: 0.031181 | Time: 219029 ms [2022-01-18 10:25:09 main:574] : INFO : Epoch 961 | loss: 0.031168 | val_loss: 0.0311793 | Time: 333325 ms [2022-01-18 10:31:11 main:574] : INFO : Epoch 962 | loss: 0.0311671 | val_loss: 0.0311806 | Time: 362108 ms [2022-01-18 10:37:02 main:574] : INFO : Epoch 963 | loss: 0.0311703 | val_loss: 0.0311848 | Time: 350241 ms [2022-01-18 10:43:09 main:574] : INFO : Epoch 964 | loss: 0.031167 | val_loss: 0.0311803 | Time: 366827 ms [2022-01-18 10:47:20 main:574] : INFO : Epoch 965 | loss: 0.0311648 | val_loss: 0.0311837 | Time: 251429 ms [2022-01-18 10:53:17 main:574] : INFO : Epoch 966 | loss: 0.0311642 | val_loss: 0.0311793 | Time: 356009 ms [2022-01-18 10:59:18 main:574] : INFO : Epoch 967 | loss: 0.031162 | val_loss: 0.0311794 | Time: 360913 ms [2022-01-18 11:05:20 main:574] : INFO : Epoch 968 | loss: 0.0311614 | val_loss: 0.0311762 | Time: 362119 ms [2022-01-18 11:11:27 main:574] : INFO : Epoch 969 | loss: 0.0311633 | val_loss: 0.0311813 | Time: 366878 ms [2022-01-18 11:17:29 main:574] : INFO : Epoch 970 | loss: 0.031165 | val_loss: 0.0311729 | Time: 362087 ms [2022-01-18 11:23:12 main:574] : INFO : Epoch 971 | loss: 0.0311648 | val_loss: 0.0311758 | Time: 342853 ms [2022-01-18 11:26:51 main:574] : INFO : Epoch 972 | loss: 0.0311677 | val_loss: 0.0311807 | Time: 218177 ms [2022-01-18 11:32:52 main:574] : INFO : Epoch 973 | loss: 0.0311672 | val_loss: 0.031183 | Time: 360933 ms [2022-01-18 11:38:40 main:574] : INFO : Epoch 974 | loss: 0.0311696 | val_loss: 0.0311787 | Time: 347909 ms [2022-01-18 11:44:29 main:574] : INFO : Epoch 975 | loss: 0.0311689 | val_loss: 0.0311781 | Time: 349047 ms [2022-01-18 11:50:40 main:574] : INFO : Epoch 976 | loss: 0.0311689 | val_loss: 0.0311767 | Time: 371639 ms [2022-01-18 11:56:33 main:574] : INFO : Epoch 977 | loss: 0.0311687 | val_loss: 0.0311775 | Time: 352641 ms [2022-01-18 12:01:54 main:574] : INFO : Epoch 978 | loss: 0.0311682 | val_loss: 0.0311774 | Time: 320545 ms [2022-01-18 12:08:01 main:574] : INFO : Epoch 979 | loss: 0.0311652 | val_loss: 0.0311783 | Time: 366877 ms [2022-01-18 12:14:00 main:574] : INFO : Epoch 980 | loss: 0.0311646 | val_loss: 0.0311791 | Time: 359753 ms [2022-01-18 12:20:05 main:574] : INFO : Epoch 981 | loss: 0.0311643 | val_loss: 0.0311799 | Time: 364515 ms [2022-01-18 12:25:59 main:574] : INFO : Epoch 982 | loss: 0.031167 | val_loss: 0.0311818 | Time: 353817 ms [2022-01-18 12:32:08 main:574] : INFO : Epoch 983 | loss: 0.031165 | val_loss: 0.0311795 | Time: 369258 ms [2022-01-18 12:37:48 main:574] : INFO : Epoch 984 | loss: 0.0311634 | val_loss: 0.0311825 | Time: 339524 ms [2022-01-18 12:43:49 main:574] : INFO : Epoch 985 | loss: 0.0311644 | val_loss: 0.0311829 | Time: 360934 ms [2022-01-18 12:49:50 main:574] : INFO : Epoch 986 | loss: 0.0311647 | val_loss: 0.0311817 | Time: 360902 ms [2022-01-18 12:55:51 main:574] : INFO : Epoch 987 | loss: 0.0311667 | val_loss: 0.0311806 | Time: 360928 ms [2022-01-18 13:01:52 main:574] : INFO : Epoch 988 | loss: 0.0311697 | val_loss: 0.0311791 | Time: 360918 ms [2022-01-18 13:07:49 main:574] : INFO : Epoch 989 | loss: 0.0311679 | val_loss: 0.0311843 | Time: 357386 ms [2022-01-18 13:13:13 main:574] : INFO : Epoch 990 | loss: 0.0311666 | val_loss: 0.0311838 | Time: 324125 ms [2022-01-18 13:19:26 main:574] : INFO : Epoch 991 | loss: 0.0311664 | val_loss: 0.0311784 | Time: 372814 ms [2022-01-18 13:25:39 main:574] : INFO : Epoch 992 | loss: 0.0311651 | val_loss: 0.0311808 | Time: 372809 ms [2022-01-18 13:31:45 main:574] : INFO : Epoch 993 | loss: 0.0311648 | val_loss: 0.031179 | Time: 365680 ms [2022-01-18 13:38:00 main:574] : INFO : Epoch 994 | loss: 0.0311635 | val_loss: 0.0311775 | Time: 375203 ms [2022-01-18 13:43:31 main:574] : INFO : Epoch 995 | loss: 0.031164 | val_loss: 0.0311801 | Time: 331236 ms [2022-01-18 13:49:30 main:574] : INFO : Epoch 996 | loss: 0.0311662 | val_loss: 0.0311813 | Time: 358527 ms [2022-01-18 13:55:30 main:574] : INFO : Epoch 997 | loss: 0.03117 | val_loss: 0.0311838 | Time: 359789 ms [2022-01-18 14:01:44 main:574] : INFO : Epoch 998 | loss: 0.031167 | val_loss: 0.0311811 | Time: 369253 ms [2022-01-18 14:07:41 main:574] : INFO : Epoch 999 | loss: 0.031166 | val_loss: 0.0311847 | Time: 357378 ms [2022-01-18 14:12:15 main:574] : INFO : Epoch 1000 | loss: 0.0311652 | val_loss: 0.0311768 | Time: 273267 ms [2022-01-18 14:17:54 main:574] : INFO : Epoch 1001 | loss: 0.0311644 | val_loss: 0.0311813 | Time: 338390 ms [2022-01-18 14:23:37 main:574] : INFO : Epoch 1002 | loss: 0.0311647 | val_loss: 0.0311788 | Time: 343124 ms [2022-01-18 14:29:16 main:574] : INFO : Epoch 1003 | loss: 0.0311633 | val_loss: 0.0311773 | Time: 338374 ms [2022-01-18 14:35:08 main:574] : INFO : Epoch 1004 | loss: 0.0311636 | val_loss: 0.0311789 | Time: 352664 ms [2022-01-18 14:40:04 main:574] : INFO : Epoch 1005 | loss: 0.0311637 | val_loss: 0.0311809 | Time: 290832 ms [2022-01-18 14:44:52 main:574] : INFO : Epoch 1006 | loss: 0.0311659 | val_loss: 0.0311813 | Time: 281985 ms [2022-01-18 14:50:44 main:574] : INFO : Epoch 1007 | loss: 0.0311641 | val_loss: 0.0311794 | Time: 352635 ms [2022-01-18 14:56:32 main:574] : INFO : Epoch 1008 | loss: 0.0311659 | val_loss: 0.0311778 | Time: 347867 ms [2022-01-18 15:02:25 main:574] : INFO : Epoch 1009 | loss: 0.031165 | val_loss: 0.0311802 | Time: 352616 ms [2022-01-18 15:08:13 main:574] : INFO : Epoch 1010 | loss: 0.0311639 | val_loss: 0.0311805 | Time: 347885 ms [2022-01-18 15:13:46 main:574] : INFO : Epoch 1011 | loss: 0.0311646 | val_loss: 0.0311805 | Time: 333635 ms [2022-01-18 15:18:43 main:574] : INFO : Epoch 1012 | loss: 0.0311674 | val_loss: 0.0311825 | Time: 296823 ms [2022-01-18 15:23:45 main:574] : INFO : Epoch 1013 | loss: 0.0311652 | val_loss: 0.0311822 | Time: 301559 ms [2022-01-18 15:29:33 main:574] : INFO : Epoch 1014 | loss: 0.0311654 | val_loss: 0.0311815 | Time: 347888 ms [2022-01-18 15:35:16 main:574] : INFO : Epoch 1015 | loss: 0.0311657 | val_loss: 0.0311799 | Time: 343097 ms [2022-01-18 15:41:09 main:574] : INFO : Epoch 1016 | loss: 0.0311683 | val_loss: 0.0311786 | Time: 352639 ms [2022-01-18 15:47:01 main:574] : INFO : Epoch 1017 | loss: 0.031169 | val_loss: 0.0311789 | Time: 352630 ms [2022-01-18 15:52:44 main:574] : INFO : Epoch 1018 | loss: 0.0311687 | val_loss: 0.0311797 | Time: 342250 ms [2022-01-18 15:57:32 main:574] : INFO : Epoch 1019 | loss: 0.0311679 | val_loss: 0.0311778 | Time: 287753 ms [2022-01-18 16:03:20 main:574] : INFO : Epoch 1020 | loss: 0.0311671 | val_loss: 0.0311769 | Time: 347882 ms [2022-01-18 16:09:03 main:574] : INFO : Epoch 1021 | loss: 0.0311657 | val_loss: 0.03118 | Time: 343145 ms [2022-01-18 16:14:46 main:574] : INFO : Epoch 1022 | loss: 0.0311675 | val_loss: 0.0311822 | Time: 343130 ms [2022-01-18 16:20:44 main:574] : INFO : Epoch 1023 | loss: 0.0311758 | val_loss: 0.0311794 | Time: 347875 ms [2022-01-18 16:26:27 main:574] : INFO : Epoch 1024 | loss: 0.0311741 | val_loss: 0.0311793 | Time: 343126 ms [2022-01-18 16:31:27 main:574] : INFO : Epoch 1025 | loss: 0.0311704 | val_loss: 0.0311783 | Time: 300351 ms [2022-01-18 16:36:41 main:574] : INFO : Epoch 1026 | loss: 0.0311689 | val_loss: 0.0311777 | Time: 313459 ms [2022-01-18 16:42:24 main:574] : INFO : Epoch 1027 | loss: 0.0311688 | val_loss: 0.0311779 | Time: 343110 ms [2022-01-18 16:48:17 main:574] : INFO : Epoch 1028 | loss: 0.0311672 | val_loss: 0.031178 | Time: 352635 ms [2022-01-18 16:54:00 main:574] : INFO : Epoch 1029 | loss: 0.0311679 | val_loss: 0.0311796 | Time: 343118 ms [2022-01-18 16:59:53 main:574] : INFO : Epoch 1030 | loss: 0.0311667 | val_loss: 0.0311767 | Time: 352640 ms [2022-01-18 17:04:33 main:574] : INFO : Epoch 1031 | loss: 0.0311668 | val_loss: 0.031179 | Time: 280190 ms [2022-01-18 17:09:50 main:574] : INFO : Epoch 1032 | loss: 0.0311662 | val_loss: 0.031177 | Time: 317012 ms [2022-01-18 17:15:38 main:574] : INFO : Epoch 1033 | loss: 0.0311656 | val_loss: 0.0311777 | Time: 347878 ms </stderr_txt> ]]>
©2022 MLC@Home Team
A project of the Cognition, Robotics, and Learning (CORAL) Lab at the University of Maryland, Baltimore County (UMBC)