Task 3323852
| Name | ParityMachine-1605454919-16667-7_0 |
| Workunit | 1588497 |
| Created | 18 Dec 2020, 4:39:40 UTC |
| Sent | 21 Dec 2020, 20:45:52 UTC |
| Report deadline | 28 Dec 2020, 20:45:52 UTC |
| Received | 22 Dec 2020, 20:40:04 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 5242 |
| Run time | 43 min 56 sec |
| CPU time | 41 min 43 sec |
| Validate state | Valid |
| Credit | 2,080.00 |
| Device peak FLOPS | 1,508.42 GFLOPS |
| Application version | Machine Learning Dataset Generator (GPU) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 1.56 GB |
| Peak swap size | 3.47 GB |
| Peak disk usage | 1.54 GB |
Stderr output
<core_client_version>7.14.2</core_client_version> <![CDATA[ <stderr_txt> 1 | loss: 0.0311721 | val_loss: 0.0311799 | Time: 2542.71 ms [2020-12-22 11:57:30 main:574] : INFO : Epoch 672 | loss: 0.0311729 | val_loss: 0.0311792 | Time: 2553.69 ms [2020-12-22 11:57:33 main:574] : INFO : Epoch 673 | loss: 0.0311743 | val_loss: 0.0311797 | Time: 2544.64 ms [2020-12-22 11:57:35 main:574] : INFO : Epoch 674 | loss: 0.031172 | val_loss: 0.0311787 | Time: 2541.1 ms [2020-12-22 11:57:38 main:574] : INFO : Epoch 675 | loss: 0.0311729 | val_loss: 0.0311782 | Time: 2542.6 ms [2020-12-22 11:57:41 main:574] : INFO : Epoch 676 | loss: 0.0311736 | val_loss: 0.03118 | Time: 2544.3 ms [2020-12-22 11:57:43 main:574] : INFO : Epoch 677 | loss: 0.0311719 | val_loss: 0.0311777 | Time: 2540.42 ms [2020-12-22 11:57:46 main:574] : INFO : Epoch 678 | loss: 0.0311706 | val_loss: 0.0311769 | Time: 2547.31 ms [2020-12-22 11:57:48 main:574] : INFO : Epoch 679 | loss: 0.0311713 | val_loss: 0.0311796 | Time: 2542.99 ms [2020-12-22 11:57:51 main:574] : INFO : Epoch 680 | loss: 0.0311718 | val_loss: 0.0311811 | Time: 2540.5 ms [2020-12-22 11:57:53 main:574] : INFO : Epoch 681 | loss: 0.0311715 | val_loss: 0.0311784 | Time: 2541.83 ms [2020-12-22 11:57:56 main:574] : INFO : Epoch 682 | loss: 0.0311722 | val_loss: 0.0311866 | Time: 2548.56 ms [2020-12-22 11:57:58 main:574] : INFO : Epoch 683 | loss: 0.0311728 | val_loss: 0.0311782 | Time: 2545.59 ms [2020-12-22 11:58:01 main:574] : INFO : Epoch 684 | loss: 0.0311704 | val_loss: 0.0311767 | Time: 2552.03 ms [2020-12-22 11:58:03 main:574] : INFO : Epoch 685 | loss: 0.0311726 | val_loss: 0.031178 | Time: 2534.92 ms [2020-12-22 11:58:06 main:574] : INFO : Epoch 686 | loss: 0.0311722 | val_loss: 0.0311789 | Time: 2537.78 ms [2020-12-22 11:58:09 main:574] : INFO : Epoch 687 | loss: 0.0311723 | val_loss: 0.0311793 | Time: 2548.59 ms [2020-12-22 11:58:11 main:574] : INFO : Epoch 688 | loss: 0.0311726 | val_loss: 0.0311797 | Time: 2548.7 ms [2020-12-22 11:58:14 main:574] : INFO : Epoch 689 | loss: 0.0311759 | val_loss: 0.0311776 | Time: 2544.18 ms [2020-12-22 11:58:16 main:574] : INFO : Epoch 690 | loss: 0.0311775 | val_loss: 0.0311794 | Time: 2531.92 ms [2020-12-22 11:58:19 main:574] : INFO : Epoch 691 | loss: 0.0311776 | val_loss: 0.0311805 | Time: 2549.97 ms [2020-12-22 11:58:21 main:574] : INFO : Epoch 692 | loss: 0.0311754 | val_loss: 0.0311787 | Time: 2546.76 ms [2020-12-22 11:58:24 main:574] : INFO : Epoch 693 | loss: 0.0311755 | val_loss: 0.0311785 | Time: 2542.59 ms [2020-12-22 11:58:26 main:574] : INFO : Epoch 694 | loss: 0.0311734 | val_loss: 0.0311782 | Time: 2546.35 ms [2020-12-22 11:58:29 main:574] : INFO : Epoch 695 | loss: 0.0311768 | val_loss: 0.0311889 | Time: 2549.64 ms [2020-12-22 11:58:31 main:574] : INFO : Epoch 696 | loss: 0.0311897 | val_loss: 0.0311919 | Time: 2546.92 ms [2020-12-22 11:58:34 main:574] : INFO : Epoch 697 | loss: 0.031187 | val_loss: 0.031189 | Time: 2543.43 ms [2020-12-22 11:58:37 main:574] : INFO : Epoch 698 | loss: 0.0311844 | val_loss: 0.0311874 | Time: 2541.75 ms [2020-12-22 11:58:39 main:574] : INFO : Epoch 699 | loss: 0.0311828 | val_loss: 0.0311902 | Time: 2547.35 ms [2020-12-22 11:58:42 main:574] : INFO : Epoch 700 | loss: 0.0311832 | val_loss: 0.0311862 | Time: 2542.32 ms [2020-12-22 11:58:44 main:574] : INFO : Epoch 701 | loss: 0.031181 | val_loss: 0.0311868 | Time: 2546.25 ms [2020-12-22 11:58:47 main:574] : INFO : Epoch 702 | loss: 0.0311806 | val_loss: 0.0311871 | Time: 2535.54 ms [2020-12-22 11:58:49 main:574] : INFO : Epoch 703 | loss: 0.0311797 | val_loss: 0.0311872 | Time: 2540.06 ms [2020-12-22 11:58:52 main:574] : INFO : Epoch 704 | loss: 0.031179 | val_loss: 0.031186 | Time: 2545.12 ms [2020-12-22 11:58:54 main:574] : INFO : Epoch 705 | loss: 0.0311798 | val_loss: 0.031186 | Time: 2542.56 ms [2020-12-22 11:58:57 main:574] : INFO : Epoch 706 | loss: 0.0311791 | val_loss: 0.0311851 | Time: 2534.33 ms [2020-12-22 11:59:00 main:574] : INFO : Epoch 707 | loss: 0.0311788 | val_loss: 0.0311844 | Time: 2546.1 ms [2020-12-22 11:59:02 main:574] : INFO : Epoch 708 | loss: 0.0311792 | val_loss: 0.0311855 | Time: 2542.09 ms [2020-12-22 11:59:05 main:574] : INFO : Epoch 709 | loss: 0.0311814 | val_loss: 0.031186 | Time: 2551.94 ms [2020-12-22 11:59:07 main:574] : INFO : Epoch 710 | loss: 0.0311794 | val_loss: 0.0311835 | Time: 2543.36 ms [2020-12-22 11:59:10 main:574] : INFO : Epoch 711 | loss: 0.0311773 | val_loss: 0.0311837 | Time: 2551.88 ms [2020-12-22 11:59:12 main:574] : INFO : Epoch 712 | loss: 0.031178 | val_loss: 0.0311831 | Time: 2539.24 ms [2020-12-22 11:59:15 main:574] : INFO : Epoch 713 | loss: 0.0311772 | val_loss: 0.0311831 | Time: 2552.92 ms [2020-12-22 11:59:17 main:574] : INFO : Epoch 714 | loss: 0.0311772 | val_loss: 0.0311841 | Time: 2530.12 ms [2020-12-22 11:59:20 main:574] : INFO : Epoch 715 | loss: 0.0311775 | val_loss: 0.0311823 | Time: 2555.6 ms [2020-12-22 11:59:22 main:574] : INFO : Epoch 716 | loss: 0.0311769 | val_loss: 0.0311841 | Time: 2547.2 ms [2020-12-22 11:59:25 main:574] : INFO : Epoch 717 | loss: 0.0311776 | val_loss: 0.0311827 | Time: 2542.42 ms [2020-12-22 11:59:28 main:574] : INFO : Epoch 718 | loss: 0.0311774 | val_loss: 0.0311821 | Time: 2541.12 ms [2020-12-22 11:59:30 main:574] : INFO : Epoch 719 | loss: 0.0311764 | val_loss: 0.0311822 | Time: 2543.24 ms [2020-12-22 11:59:33 main:574] : INFO : Epoch 720 | loss: 0.0311759 | val_loss: 0.0311826 | Time: 2544.44 ms [2020-12-22 11:59:35 main:574] : INFO : Epoch 721 | loss: 0.0311777 | val_loss: 0.0311833 | Time: 2546.65 ms [2020-12-22 11:59:38 main:574] : INFO : Epoch 722 | loss: 0.0311808 | val_loss: 0.0311875 | Time: 2550.81 ms [2020-12-22 11:59:40 main:574] : INFO : Epoch 723 | loss: 0.0311809 | val_loss: 0.031182 | Time: 2548.79 ms [2020-12-22 11:59:43 main:574] : INFO : Epoch 724 | loss: 0.0311778 | val_loss: 0.031182 | Time: 2541 ms [2020-12-22 11:59:45 main:574] : INFO : Epoch 725 | loss: 0.0311776 | val_loss: 0.0311827 | Time: 2553.38 ms [2020-12-22 11:59:48 main:574] : INFO : Epoch 726 | loss: 0.0311762 | val_loss: 0.0311826 | Time: 2543.2 ms [2020-12-22 11:59:51 main:574] : INFO : Epoch 727 | loss: 0.0311763 | val_loss: 0.031181 | Time: 2544.95 ms [2020-12-22 11:59:53 main:574] : INFO : Epoch 728 | loss: 0.0311753 | val_loss: 0.0311815 | Time: 2540.03 ms [2020-12-22 11:59:56 main:574] : INFO : Epoch 729 | loss: 0.0311757 | val_loss: 0.0311805 | Time: 2541.94 ms [2020-12-22 11:59:58 main:574] : INFO : Epoch 730 | loss: 0.0311764 | val_loss: 0.0311834 | Time: 2533.6 ms [2020-12-22 12:00:01 main:574] : INFO : Epoch 731 | loss: 0.0311761 | val_loss: 0.0311807 | Time: 2546.14 ms [2020-12-22 12:00:03 main:574] : INFO : Epoch 732 | loss: 0.0311753 | val_loss: 0.0311803 | Time: 2545.18 ms [2020-12-22 12:00:06 main:574] : INFO : Epoch 733 | loss: 0.0311756 | val_loss: 0.0311795 | Time: 2544.78 ms [2020-12-22 12:00:08 main:574] : INFO : Epoch 734 | loss: 0.0311754 | val_loss: 0.0311802 | Time: 2527.49 ms [2020-12-22 12:00:11 main:574] : INFO : Epoch 735 | loss: 0.0311752 | val_loss: 0.0311806 | Time: 2543.28 ms [2020-12-22 12:00:13 main:574] : INFO : Epoch 736 | loss: 0.0311747 | val_loss: 0.03118 | Time: 2557.25 ms [2020-12-22 12:00:16 main:574] : INFO : Epoch 737 | loss: 0.0311762 | val_loss: 0.0311851 | Time: 2540.22 ms [2020-12-22 12:00:19 main:574] : INFO : Epoch 738 | loss: 0.0311771 | val_loss: 0.0311858 | Time: 2550.77 ms [2020-12-22 12:00:21 main:574] : INFO : Epoch 739 | loss: 0.0311795 | val_loss: 0.0311842 | Time: 2539.71 ms [2020-12-22 12:00:24 main:574] : INFO : Epoch 740 | loss: 0.0311788 | val_loss: 0.0311826 | Time: 2546.63 ms [2020-12-22 12:00:26 main:574] : INFO : Epoch 741 | loss: 0.0311779 | val_loss: 0.0311835 | Time: 2539.6 ms [2020-12-22 12:00:29 main:574] : INFO : Epoch 742 | loss: 0.0311779 | val_loss: 0.0311841 | Time: 2546.36 ms [2020-12-22 12:00:31 main:574] : INFO : Epoch 743 | loss: 0.0311778 | val_loss: 0.0311828 | Time: 2546.01 ms [2020-12-22 12:00:34 main:574] : INFO : Epoch 744 | loss: 0.0311776 | val_loss: 0.0311816 | Time: 2552.04 ms [2020-12-22 12:00:36 main:574] : INFO : Epoch 745 | loss: 0.0311761 | val_loss: 0.0311823 | Time: 2539.49 ms [2020-12-22 12:00:39 main:574] : INFO : Epoch 746 | loss: 0.0311761 | val_loss: 0.0311823 | Time: 2544.34 ms [2020-12-22 12:00:42 main:574] : INFO : Epoch 747 | loss: 0.0311765 | val_loss: 0.0311883 | Time: 2548.28 ms [2020-12-22 12:00:44 main:574] : INFO : Epoch 748 | loss: 0.0311772 | val_loss: 0.0311825 | Time: 2548.04 ms [2020-12-22 12:00:47 main:574] : INFO : Epoch 749 | loss: 0.031176 | val_loss: 0.0311814 | Time: 2545.23 ms [2020-12-22 12:00:49 main:574] : INFO : Epoch 750 | loss: 0.0311758 | val_loss: 0.0311836 | Time: 2543.6 ms [2020-12-22 12:00:52 main:574] : INFO : Epoch 751 | loss: 0.0311759 | val_loss: 0.0311823 | Time: 2546.37 ms [2020-12-22 12:00:54 main:574] : INFO : Epoch 752 | loss: 0.031176 | val_loss: 0.0311815 | Time: 2547.05 ms [2020-12-22 12:00:57 main:574] : INFO : Epoch 753 | loss: 0.0311748 | val_loss: 0.0311841 | Time: 2526.96 ms [2020-12-22 12:00:59 main:574] : INFO : Epoch 754 | loss: 0.0311753 | val_loss: 0.0311832 | Time: 2543.63 ms [2020-12-22 12:01:02 main:574] : INFO : Epoch 755 | loss: 0.0311744 | val_loss: 0.0311823 | Time: 2540.96 ms [2020-12-22 12:01:04 main:574] : INFO : Epoch 756 | loss: 0.031175 | val_loss: 0.0311824 | Time: 2552.2 ms [2020-12-22 12:01:07 main:574] : INFO : Epoch 757 | loss: 0.0311749 | val_loss: 0.0311835 | Time: 2531.71 ms [2020-12-22 12:01:10 main:574] : INFO : Epoch 758 | loss: 0.0311738 | val_loss: 0.0311818 | Time: 2546.94 ms [2020-12-22 12:01:12 main:574] : INFO : Epoch 759 | loss: 0.0311745 | val_loss: 0.0311827 | Time: 2538.46 ms [2020-12-22 12:01:15 main:574] : INFO : Epoch 760 | loss: 0.0311736 | val_loss: 0.0311834 | Time: 2541.97 ms [2020-12-22 12:01:17 main:574] : INFO : Epoch 761 | loss: 0.0311761 | val_loss: 0.0311831 | Time: 2546.48 ms [2020-12-22 12:01:20 main:574] : INFO : Epoch 762 | loss: 0.031176 | val_loss: 0.031182 | Time: 2548.2 ms [2020-12-22 12:01:22 main:574] : INFO : Epoch 763 | loss: 0.0311768 | val_loss: 0.0311857 | Time: 2545.93 ms [2020-12-22 12:01:25 main:574] : INFO : Epoch 764 | loss: 0.0311762 | val_loss: 0.0311837 | Time: 2544.32 ms [2020-12-22 12:01:27 main:574] : INFO : Epoch 765 | loss: 0.0311745 | val_loss: 0.0311826 | Time: 2539.54 ms [2020-12-22 12:01:30 main:574] : INFO : Epoch 766 | loss: 0.0311745 | val_loss: 0.031183 | Time: 2542.42 ms [2020-12-22 12:01:32 main:574] : INFO : Epoch 767 | loss: 0.0311766 | val_loss: 0.0311828 | Time: 2540.04 ms [2020-12-22 12:01:35 main:574] : INFO : Epoch 768 | loss: 0.0311746 | val_loss: 0.0311834 | Time: 2551.19 ms [2020-12-22 12:01:38 main:574] : INFO : Epoch 769 | loss: 0.0311746 | val_loss: 0.031183 | Time: 2539.73 ms [2020-12-22 12:01:40 main:574] : INFO : Epoch 770 | loss: 0.0311745 | val_loss: 0.031182 | Time: 2543.52 ms [2020-12-22 12:01:43 main:574] : INFO : Epoch 771 | loss: 0.0311749 | val_loss: 0.0311806 | Time: 2543.97 ms [2020-12-22 12:01:45 main:574] : INFO : Epoch 772 | loss: 0.031174 | val_loss: 0.0311816 | Time: 2541.38 ms [2020-12-22 12:01:48 main:574] : INFO : Epoch 773 | loss: 0.0311738 | val_loss: 0.0311817 | Time: 2544.51 ms [2020-12-22 12:01:50 main:574] : INFO : Epoch 774 | loss: 0.031175 | val_loss: 0.0311836 | Time: 2548.84 ms [2020-12-22 12:01:53 main:574] : INFO : Epoch 775 | loss: 0.0311745 | val_loss: 0.0311849 | Time: 2542.51 ms [2020-12-22 12:01:55 main:574] : INFO : Epoch 776 | loss: 0.0311762 | val_loss: 0.0311832 | Time: 2545.19 ms [2020-12-22 12:01:58 main:574] : INFO : Epoch 777 | loss: 0.0311768 | val_loss: 0.0311809 | Time: 2541.38 ms [2020-12-22 12:02:01 main:574] : INFO : Epoch 778 | loss: 0.0311735 | val_loss: 0.0311808 | Time: 2545.36 ms [2020-12-22 12:02:03 main:574] : INFO : Epoch 779 | loss: 0.0311729 | val_loss: 0.0311819 | Time: 2550.76 ms [2020-12-22 12:02:06 main:574] : INFO : Epoch 780 | loss: 0.0311717 | val_loss: 0.0311811 | Time: 2547.95 ms [2020-12-22 12:02:08 main:574] : INFO : Epoch 781 | loss: 0.0311722 | val_loss: 0.0311831 | Time: 2533.95 ms [2020-12-22 12:02:11 main:574] : INFO : Epoch 782 | loss: 0.0311716 | val_loss: 0.0311817 | Time: 2551.17 ms [2020-12-22 12:02:13 main:574] : INFO : Epoch 783 | loss: 0.0311729 | val_loss: 0.0311818 | Time: 2542.04 ms [2020-12-22 12:02:16 main:574] : INFO : Epoch 784 | loss: 0.0311745 | val_loss: 0.0311805 | Time: 2544.45 ms [2020-12-22 12:02:18 main:574] : INFO : Epoch 785 | loss: 0.0311735 | val_loss: 0.031181 | Time: 2538.45 ms [2020-12-22 12:02:21 main:574] : INFO : Epoch 786 | loss: 0.0311733 | val_loss: 0.0311806 | Time: 2547.62 ms [2020-12-22 12:02:23 main:574] : INFO : Epoch 787 | loss: 0.0311736 | val_loss: 0.0311839 | Time: 2543.69 ms [2020-12-22 12:02:26 main:574] : INFO : Epoch 788 | loss: 0.0311749 | val_loss: 0.0311875 | Time: 2544.95 ms [2020-12-22 12:02:29 main:574] : INFO : Epoch 789 | loss: 0.0311793 | val_loss: 0.0311844 | Time: 2541.23 ms [2020-12-22 12:02:31 main:574] : INFO : Epoch 790 | loss: 0.0311784 | val_loss: 0.0311846 | Time: 2549.89 ms [2020-12-22 12:02:34 main:574] : INFO : Epoch 791 | loss: 0.0311757 | val_loss: 0.0311841 | Time: 2544.03 ms [2020-12-22 12:02:36 main:574] : INFO : Epoch 792 | loss: 0.0311761 | val_loss: 0.0311826 | Time: 2545.82 ms [2020-12-22 12:02:39 main:574] : INFO : Epoch 793 | loss: 0.0311792 | val_loss: 0.0311855 | Time: 2537.02 ms [2020-12-22 12:02:41 main:574] : INFO : Epoch 794 | loss: 0.0311812 | val_loss: 0.0311873 | Time: 2547.26 ms [2020-12-22 12:02:44 main:574] : INFO : Epoch 795 | loss: 0.0311874 | val_loss: 0.0312035 | Time: 2550.64 ms [2020-12-22 12:02:46 main:574] : INFO : Epoch 796 | loss: 0.0311957 | val_loss: 0.0311996 | Time: 2548.75 ms [2020-12-22 12:02:49 main:574] : INFO : Epoch 797 | loss: 0.0311905 | val_loss: 0.0311933 | Time: 2542 ms [2020-12-22 12:02:52 main:574] : INFO : Epoch 798 | loss: 0.0311864 | val_loss: 0.0311884 | Time: 2546.12 ms [2020-12-22 12:02:54 main:574] : INFO : Epoch 799 | loss: 0.0311823 | val_loss: 0.0311869 | Time: 2547.28 ms [2020-12-22 12:02:57 main:574] : INFO : Epoch 800 | loss: 0.0311809 | val_loss: 0.0311861 | Time: 2547.21 ms [2020-12-22 12:02:59 main:574] : INFO : Epoch 801 | loss: 0.0311795 | val_loss: 0.0311853 | Time: 2537.74 ms [2020-12-22 12:03:02 main:574] : INFO : Epoch 802 | loss: 0.0311807 | val_loss: 0.0311874 | Time: 2541.43 ms [2020-12-22 12:03:04 main:574] : INFO : Epoch 803 | loss: 0.0311813 | val_loss: 0.0311849 | Time: 2549.65 ms [2020-12-22 12:03:07 main:574] : INFO : Epoch 804 | loss: 0.0311808 | val_loss: 0.0311852 | Time: 2534.93 ms [2020-12-22 12:03:09 main:574] : INFO : Epoch 805 | loss: 0.0311794 | val_loss: 0.0311865 | Time: 2543.46 ms [2020-12-22 12:03:12 main:574] : INFO : Epoch 806 | loss: 0.0311793 | val_loss: 0.0311849 | Time: 2540.38 ms [2020-12-22 12:03:14 main:574] : INFO : Epoch 807 | loss: 0.0311786 | val_loss: 0.0311849 | Time: 2543.23 ms [2020-12-22 12:03:17 main:574] : INFO : Epoch 808 | loss: 0.0311792 | val_loss: 0.0311878 | Time: 2543.94 ms [2020-12-22 12:03:20 main:574] : INFO : Epoch 809 | loss: 0.0311775 | val_loss: 0.0311821 | Time: 2532.54 ms [2020-12-22 12:03:22 main:574] : INFO : Epoch 810 | loss: 0.0311778 | val_loss: 0.0311841 | Time: 2541.14 ms [2020-12-22 12:03:25 main:574] : INFO : Epoch 811 | loss: 0.0311777 | val_loss: 0.0311888 | Time: 2503.46 ms [2020-12-22 12:03:27 main:574] : INFO : Epoch 812 | loss: 0.0311773 | val_loss: 0.0311828 | Time: 2546.78 ms [2020-12-22 12:03:30 main:574] : INFO : Epoch 813 | loss: 0.0311758 | val_loss: 0.0311799 | Time: 2538.68 ms [2020-12-22 12:03:32 main:574] : INFO : Epoch 814 | loss: 0.031177 | val_loss: 0.0311841 | Time: 2539.89 ms [2020-12-22 12:03:35 main:574] : INFO : Epoch 815 | loss: 0.031178 | val_loss: 0.0311823 | Time: 2539.82 ms [2020-12-22 12:03:37 main:574] : INFO : Epoch 816 | loss: 0.0311765 | val_loss: 0.0311833 | Time: 2513.65 ms [2020-12-22 12:03:40 main:574] : INFO : Epoch 817 | loss: 0.031178 | val_loss: 0.0311862 | Time: 2558.19 ms [2020-12-22 12:03:42 main:574] : INFO : Epoch 818 | loss: 0.031183 | val_loss: 0.0311887 | Time: 2542.08 ms [2020-12-22 12:03:45 main:574] : INFO : Epoch 819 | loss: 0.0311819 | val_loss: 0.0311904 | Time: 2541.51 ms [2020-12-22 12:03:48 main:574] : INFO : Epoch 820 | loss: 0.0311808 | val_loss: 0.0311838 | Time: 2533.24 ms [2020-12-22 12:03:50 main:574] : INFO : Epoch 821 | loss: 0.0311798 | val_loss: 0.0311841 | Time: 2532.64 ms [2020-12-22 12:03:53 main:574] : INFO : Epoch 822 | loss: 0.0311799 | val_loss: 0.0311824 | Time: 2541.54 ms [2020-12-22 12:03:55 main:574] : INFO : Epoch 823 | loss: 0.0311789 | val_loss: 0.0311813 | Time: 2548.56 ms [2020-12-22 12:03:58 main:574] : INFO : Epoch 824 | loss: 0.0311791 | val_loss: 0.0311823 | Time: 2545.07 ms [2020-12-22 12:04:00 main:574] : INFO : Epoch 825 | loss: 0.0311786 | val_loss: 0.0311823 | Time: 2549.24 ms [2020-12-22 12:04:03 main:574] : INFO : Epoch 826 | loss: 0.031179 | val_loss: 0.031184 | Time: 2544.16 ms [2020-12-22 12:04:05 main:574] : INFO : Epoch 827 | loss: 0.0311799 | val_loss: 0.0311817 | Time: 2545.79 ms [2020-12-22 12:04:08 main:574] : INFO : Epoch 828 | loss: 0.0311779 | val_loss: 0.031182 | Time: 2541.5 ms [2020-12-22 12:04:10 main:574] : INFO : Epoch 829 | loss: 0.0311781 | val_loss: 0.0311859 | Time: 2540.58 ms [2020-12-22 12:04:13 main:574] : INFO : Epoch 830 | loss: 0.0311791 | val_loss: 0.0311851 | Time: 2543.48 ms [2020-12-22 12:04:16 main:574] : INFO : Epoch 831 | loss: 0.031179 | val_loss: 0.0311855 | Time: 2548.05 ms [2020-12-22 12:04:18 main:574] : INFO : Epoch 832 | loss: 0.0311793 | val_loss: 0.0311872 | Time: 2540.77 ms [2020-12-22 12:04:21 main:574] : INFO : Epoch 833 | loss: 0.0311801 | val_loss: 0.0311838 | Time: 2546.8 ms [2020-12-22 12:04:23 main:574] : INFO : Epoch 834 | loss: 0.0311794 | val_loss: 0.0311832 | Time: 2547.7 ms [2020-12-22 12:04:26 main:574] : INFO : Epoch 835 | loss: 0.0311777 | val_loss: 0.0311887 | Time: 2546.26 ms [2020-12-22 12:04:28 main:574] : INFO : Epoch 836 | loss: 0.031178 | val_loss: 0.0311829 | Time: 2536.47 ms [2020-12-22 12:04:31 main:574] : INFO : Epoch 837 | loss: 0.0311771 | val_loss: 0.031184 | Time: 2549.82 ms [2020-12-22 12:04:33 main:574] : INFO : Epoch 838 | loss: 0.0311774 | val_loss: 0.0311835 | Time: 2543.3 ms [2020-12-22 12:04:36 main:574] : INFO : Epoch 839 | loss: 0.0311794 | val_loss: 0.0311824 | Time: 2548.16 ms [2020-12-22 12:04:39 main:574] : INFO : Epoch 840 | loss: 0.0311778 | val_loss: 0.0311831 | Time: 2540.16 ms [2020-12-22 12:04:41 main:574] : INFO : Epoch 841 | loss: 0.0311775 | val_loss: 0.0311826 | Time: 2551.72 ms [2020-12-22 12:04:44 main:574] : INFO : Epoch 842 | loss: 0.0311762 | val_loss: 0.031182 | Time: 2541.64 ms [2020-12-22 12:04:46 main:574] : INFO : Epoch 843 | loss: 0.0311759 | val_loss: 0.0311815 | Time: 2541.23 ms [2020-12-22 12:04:49 main:574] : INFO : Epoch 844 | loss: 0.0311761 | val_loss: 0.0311815 | Time: 2538.62 ms [2020-12-22 12:04:51 main:574] : INFO : Epoch 845 | loss: 0.0311764 | val_loss: 0.0311809 | Time: 2551.38 ms [2020-12-22 12:04:54 main:574] : INFO : Epoch 846 | loss: 0.0311765 | val_loss: 0.031182 | Time: 2541.51 ms [2020-12-22 12:04:56 main:574] : INFO : Epoch 847 | loss: 0.0311768 | val_loss: 0.0311817 | Time: 2545.41 ms [2020-12-22 12:04:59 main:574] : INFO : Epoch 848 | loss: 0.0311769 | val_loss: 0.0311834 | Time: 2543.75 ms [2020-12-22 12:05:01 main:574] : INFO : Epoch 849 | loss: 0.0311768 | val_loss: 0.0311812 | Time: 2542.43 ms [2020-12-22 12:05:04 main:574] : INFO : Epoch 850 | loss: 0.0311739 | val_loss: 0.0311797 | Time: 2546.63 ms [2020-12-22 12:05:07 main:574] : INFO : Epoch 851 | loss: 0.0311743 | val_loss: 0.0311792 | Time: 2550.54 ms [2020-12-22 12:05:09 main:574] : INFO : Epoch 852 | loss: 0.0311739 | val_loss: 0.0311799 | Time: 2537.87 ms [2020-12-22 12:05:12 main:574] : INFO : Epoch 853 | loss: 0.0311739 | val_loss: 0.0311791 | Time: 2541.94 ms [2020-12-22 12:05:14 main:574] : INFO : Epoch 854 | loss: 0.0311748 | val_loss: 0.0311829 | Time: 2546.75 ms [2020-12-22 12:05:17 main:574] : INFO : Epoch 855 | loss: 0.0311765 | val_loss: 0.0311817 | Time: 2537.54 ms [2020-12-22 12:05:19 main:574] : INFO : Epoch 856 | loss: 0.0311769 | val_loss: 0.0311809 | Time: 2533.61 ms [2020-12-22 12:05:22 main:574] : INFO : Epoch 857 | loss: 0.0311735 | val_loss: 0.0311792 | Time: 2542.2 ms [2020-12-22 12:05:24 main:574] : INFO : Epoch 858 | loss: 0.0311728 | val_loss: 0.0311808 | Time: 2546.31 ms [2020-12-22 12:05:27 main:574] : INFO : Epoch 859 | loss: 0.0311738 | val_loss: 0.0311806 | Time: 2544.76 ms [2020-12-22 12:05:29 main:574] : INFO : Epoch 860 | loss: 0.0311731 | val_loss: 0.0311804 | Time: 2545.89 ms [2020-12-22 12:05:32 main:574] : INFO : Epoch 861 | loss: 0.0311733 | val_loss: 0.0311845 | Time: 2543.8 ms [2020-12-22 12:05:35 main:574] : INFO : Epoch 862 | loss: 0.031174 | val_loss: 0.0311789 | Time: 2543.21 ms [2020-12-22 12:05:37 main:574] : INFO : Epoch 863 | loss: 0.0311741 | val_loss: 0.0311834 | Time: 2538.43 ms [2020-12-22 12:05:40 main:574] : INFO : Epoch 864 | loss: 0.0311739 | val_loss: 0.0311807 | Time: 2546.75 ms [2020-12-22 12:05:42 main:574] : INFO : Epoch 865 | loss: 0.0311725 | val_loss: 0.031182 | Time: 2543.88 ms [2020-12-22 12:05:45 main:574] : INFO : Epoch 866 | loss: 0.0311734 | val_loss: 0.0311803 | Time: 2543.85 ms [2020-12-22 12:05:47 main:574] : INFO : Epoch 867 | loss: 0.0311731 | val_loss: 0.0311832 | Time: 2536.94 ms [2020-12-22 12:05:50 main:574] : INFO : Epoch 868 | loss: 0.0311737 | val_loss: 0.03118 | Time: 2553.28 ms [2020-12-22 12:05:52 main:574] : INFO : Epoch 869 | loss: 0.0311748 | val_loss: 0.0311852 | Time: 2547.64 ms [2020-12-22 12:05:55 main:574] : INFO : Epoch 870 | loss: 0.0311741 | val_loss: 0.0311846 | Time: 2546.05 ms [2020-12-22 12:05:58 main:574] : INFO : Epoch 871 | loss: 0.0311756 | val_loss: 0.0311817 | Time: 2546.31 ms [2020-12-22 12:06:00 main:574] : INFO : Epoch 872 | loss: 0.0311729 | val_loss: 0.0311799 | Time: 2540.24 ms [2020-12-22 12:06:03 main:574] : INFO : Epoch 873 | loss: 0.0311731 | val_loss: 0.0311822 | Time: 2546.14 ms [2020-12-22 12:06:05 main:574] : INFO : Epoch 874 | loss: 0.031173 | val_loss: 0.031181 | Time: 2545.28 ms [2020-12-22 12:06:08 main:574] : INFO : Epoch 875 | loss: 0.031177 | val_loss: 0.0311902 | Time: 2545.49 ms [2020-12-22 12:06:10 main:574] : INFO : Epoch 876 | loss: 0.0311755 | val_loss: 0.0311817 | Time: 2538.61 ms [2020-12-22 12:06:13 main:574] : INFO : Epoch 877 | loss: 0.0311734 | val_loss: 0.0311825 | Time: 2543.53 ms [2020-12-22 12:06:15 main:574] : INFO : Epoch 878 | loss: 0.0311711 | val_loss: 0.031182 | Time: 2539.83 ms [2020-12-22 12:06:18 main:574] : INFO : Epoch 879 | loss: 0.0311711 | val_loss: 0.031182 | Time: 2547.28 ms [2020-12-22 12:06:20 main:574] : INFO : Epoch 880 | loss: 0.0311711 | val_loss: 0.0311821 | Time: 2543.43 ms [2020-12-22 12:06:23 main:574] : INFO : Epoch 881 | loss: 0.0311737 | val_loss: 0.0311898 | Time: 2543.78 ms [2020-12-22 12:06:26 main:574] : INFO : Epoch 882 | loss: 0.0311728 | val_loss: 0.0311814 | Time: 2545.8 ms [2020-12-22 12:06:28 main:574] : INFO : Epoch 883 | loss: 0.031172 | val_loss: 0.0311825 | Time: 2532.91 ms [2020-12-22 12:06:31 main:574] : INFO : Epoch 884 | loss: 0.0311713 | val_loss: 0.0311812 | Time: 2522.37 ms [2020-12-22 12:06:33 main:574] : INFO : Epoch 885 | loss: 0.0311704 | val_loss: 0.0311846 | Time: 2604.96 ms [2020-12-22 12:06:36 main:574] : INFO : Epoch 886 | loss: 0.0311726 | val_loss: 0.0311823 | Time: 2540.24 ms [2020-12-22 12:06:38 main:574] : INFO : Epoch 887 | loss: 0.0311709 | val_loss: 0.0311818 | Time: 2543.24 ms [2020-12-22 12:06:41 main:574] : INFO : Epoch 888 | loss: 0.0311737 | val_loss: 0.0311829 | Time: 2531.68 ms [2020-12-22 12:06:43 main:574] : INFO : Epoch 889 | loss: 0.0311718 | val_loss: 0.0311818 | Time: 2558.11 ms [2020-12-22 12:06:46 main:574] : INFO : Epoch 890 | loss: 0.0311723 | val_loss: 0.0311837 | Time: 2548.4 ms [2020-12-22 12:06:48 main:574] : INFO : Epoch 891 | loss: 0.0311724 | val_loss: 0.0311841 | Time: 2535.59 ms [2020-12-22 12:06:51 main:574] : INFO : Epoch 892 | loss: 0.0311725 | val_loss: 0.0311855 | Time: 2552.25 ms [2020-12-22 12:06:54 main:574] : INFO : Epoch 893 | loss: 0.0311713 | val_loss: 0.0311823 | Time: 2545.03 ms [2020-12-22 12:06:56 main:574] : INFO : Epoch 894 | loss: 0.0311707 | val_loss: 0.0311841 | Time: 2548.54 ms [2020-12-22 12:06:59 main:574] : INFO : Epoch 895 | loss: 0.0311719 | val_loss: 0.0311836 | Time: 2551.35 ms [2020-12-22 12:07:01 main:574] : INFO : Epoch 896 | loss: 0.0311731 | val_loss: 0.0311836 | Time: 2542.82 ms [2020-12-22 12:07:04 main:574] : INFO : Epoch 897 | loss: 0.0311749 | val_loss: 0.0311801 | Time: 2546.11 ms [2020-12-22 12:07:06 main:574] : INFO : Epoch 898 | loss: 0.0311735 | val_loss: 0.0311812 | Time: 2545.33 ms [2020-12-22 12:07:09 main:574] : INFO : Epoch 899 | loss: 0.0311738 | val_loss: 0.0311805 | Time: 2553 ms [2020-12-22 12:07:11 main:574] : INFO : Epoch 900 | loss: 0.0311742 | val_loss: 0.0311832 | Time: 2522.53 ms [2020-12-22 12:07:14 main:574] : INFO : Epoch 901 | loss: 0.0311738 | val_loss: 0.0311811 | Time: 2545.5 ms [2020-12-22 12:07:17 main:574] : INFO : Epoch 902 | loss: 0.0311729 | val_loss: 0.0311816 | Time: 2545.8 ms [2020-12-22 12:07:19 main:574] : INFO : Epoch 903 | loss: 0.0311724 | val_loss: 0.031182 | Time: 2553.47 ms [2020-12-22 12:07:22 main:574] : INFO : Epoch 904 | loss: 0.0311733 | val_loss: 0.0311808 | Time: 2543.84 ms [2020-12-22 12:07:24 main:574] : INFO : Epoch 905 | loss: 0.0311699 | val_loss: 0.0311825 | Time: 2546.43 ms [2020-12-22 12:07:27 main:574] : INFO : Epoch 906 | loss: 0.0311713 | val_loss: 0.0311826 | Time: 2539.81 ms [2020-12-22 12:07:29 main:574] : INFO : Epoch 907 | loss: 0.0311741 | val_loss: 0.0311812 | Time: 2547.06 ms [2020-12-22 12:07:32 main:574] : INFO : Epoch 908 | loss: 0.0311719 | val_loss: 0.0311807 | Time: 2550.27 ms [2020-12-22 12:07:34 main:574] : INFO : Epoch 909 | loss: 0.0311716 | val_loss: 0.0311791 | Time: 2546.46 ms [2020-12-22 12:07:37 main:574] : INFO : Epoch 910 | loss: 0.0311703 | val_loss: 0.0311825 | Time: 2546.21 ms [2020-12-22 12:07:40 main:574] : INFO : Epoch 911 | loss: 0.0311737 | val_loss: 0.0311812 | Time: 2548.25 ms [2020-12-22 12:07:42 main:574] : INFO : Epoch 912 | loss: 0.0311747 | val_loss: 0.0311816 | Time: 2534.4 ms [2020-12-22 12:07:45 main:574] : INFO : Epoch 913 | loss: 0.0311691 | val_loss: 0.0311811 | Time: 2546.48 ms [2020-12-22 12:07:47 main:574] : INFO : Epoch 914 | loss: 0.0311737 | val_loss: 0.0311831 | Time: 2546.53 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: GeForce GTX 960M) [2020-12-22 12:21:45 main:435] : INFO : Set logging level to 1 [2020-12-22 12:21:45 main:441] : INFO : Running in BOINC Client mode [2020-12-22 12:21:45 main:444] : INFO : Resolving all filenames [2020-12-22 12:21:45 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 (exists = 1) [2020-12-22 12:21:45 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1605454919-16667-7_0_r522621798_1 (exists = 1) [2020-12-22 12:21:45 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1605454919-16667-7_0_r522621798_0 (exists = 0) [2020-12-22 12:21:45 main:452] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1605454919-16667-7 (exists = 1) [2020-12-22 12:21:45 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2020-12-22 12:21:45 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 [2020-12-22 12:21:45 main:474] : INFO : Configuration: [2020-12-22 12:21:45 main:475] : INFO : Model type: GRU [2020-12-22 12:21:45 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-12-22 12:21:45 main:477] : INFO : Max Epochs: 1024 [2020-12-22 12:21:45 main:478] : INFO : Batch Size: 128 [2020-12-22 12:21:45 main:479] : INFO : Learning Rate: 0.01 [2020-12-22 12:21:45 main:480] : INFO : Patience: 10 [2020-12-22 12:21:45 main:481] : INFO : Hidden Width: 12 [2020-12-22 12:21:45 main:482] : INFO : # Recurrent Layers: 4 [2020-12-22 12:21:45 main:483] : INFO : # Backend Layers: 4 [2020-12-22 12:21:45 main:484] : INFO : # Threads: 1 [2020-12-22 12:21:45 main:486] : INFO : Preparing Dataset [2020-12-22 12:21:45 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2020-12-22 12:21:45 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2020-12-22 12:21:48 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2020-12-22 12:21:48 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2020-12-22 12:21:48 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2020-12-22 12:21:48 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-12-22 12:21:48 main:494] : INFO : Creating Model [2020-12-22 12:21:48 main:507] : INFO : Preparing config file [2020-12-22 12:21:48 main:511] : INFO : Found checkpoint, attempting to load... [2020-12-22 12:21:48 main:512] : INFO : Loading config [2020-12-22 12:21:48 main:514] : INFO : Loading state [2020-12-22 12:21:49 main:559] : INFO : Loading DataLoader into Memory [2020-12-22 12:21:49 main:562] : INFO : Starting Training [2020-12-22 12:21:52 main:574] : INFO : Epoch 895 | loss: 0.0312941 | val_loss: 0.0312188 | Time: 2999.03 ms [2020-12-22 12:22:05 main:574] : INFO : Epoch 896 | loss: 0.0311882 | val_loss: 0.0311861 | Time: 12573.8 ms [2020-12-22 12:22:07 main:574] : INFO : Epoch 897 | loss: 0.0311769 | val_loss: 0.0311809 | Time: 2521.78 ms [2020-12-22 12:22:10 main:574] : INFO : Epoch 898 | loss: 0.0311761 | val_loss: 0.0311831 | Time: 2551.07 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: GeForce GTX 960M) [2020-12-22 12:25:20 main:435] : INFO : Set logging level to 1 [2020-12-22 12:25:20 main:441] : INFO : Running in BOINC Client mode [2020-12-22 12:25:20 main:444] : INFO : Resolving all filenames [2020-12-22 12:25:20 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 (exists = 1) [2020-12-22 12:25:20 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1605454919-16667-7_0_r522621798_1 (exists = 1) [2020-12-22 12:25:20 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1605454919-16667-7_0_r522621798_0 (exists = 0) [2020-12-22 12:25:20 main:452] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1605454919-16667-7 (exists = 1) [2020-12-22 12:25:20 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2020-12-22 12:25:20 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 [2020-12-22 12:25:20 main:474] : INFO : Configuration: [2020-12-22 12:25:20 main:475] : INFO : Model type: GRU [2020-12-22 12:25:20 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-12-22 12:25:20 main:477] : INFO : Max Epochs: 1024 [2020-12-22 12:25:20 main:478] : INFO : Batch Size: 128 [2020-12-22 12:25:20 main:479] : INFO : Learning Rate: 0.01 [2020-12-22 12:25:20 main:480] : INFO : Patience: 10 [2020-12-22 12:25:20 main:481] : INFO : Hidden Width: 12 [2020-12-22 12:25:20 main:482] : INFO : # Recurrent Layers: 4 [2020-12-22 12:25:20 main:483] : INFO : # Backend Layers: 4 [2020-12-22 12:25:20 main:484] : INFO : # Threads: 1 [2020-12-22 12:25:20 main:486] : INFO : Preparing Dataset [2020-12-22 12:25:20 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2020-12-22 12:25:20 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2020-12-22 12:25:23 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2020-12-22 12:25:23 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2020-12-22 12:25:23 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2020-12-22 12:25:23 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-12-22 12:25:23 main:494] : INFO : Creating Model [2020-12-22 12:25:23 main:507] : INFO : Preparing config file [2020-12-22 12:25:23 main:511] : INFO : Found checkpoint, attempting to load... [2020-12-22 12:25:23 main:512] : INFO : Loading config [2020-12-22 12:25:23 main:514] : INFO : Loading state [2020-12-22 12:25:25 main:559] : INFO : Loading DataLoader into Memory [2020-12-22 12:25:25 main:562] : INFO : Starting Training [2020-12-22 12:25:28 main:574] : INFO : Epoch 895 | loss: 0.0312941 | val_loss: 0.031223 | Time: 2972.79 ms [2020-12-22 12:25:30 main:574] : INFO : Epoch 896 | loss: 0.0311899 | val_loss: 0.0311832 | Time: 2546.97 ms [2020-12-22 12:25:33 main:574] : INFO : Epoch 897 | loss: 0.0311755 | val_loss: 0.0311793 | Time: 2540.38 ms [2020-12-22 12:25:35 main:574] : INFO : Epoch 898 | loss: 0.0311731 | val_loss: 0.0311816 | Time: 2565.55 ms [2020-12-22 12:25:38 main:574] : INFO : Epoch 899 | loss: 0.0311738 | val_loss: 0.031183 | Time: 2573.37 ms [2020-12-22 12:25:40 main:574] : INFO : Epoch 900 | loss: 0.0311759 | val_loss: 0.0311854 | Time: 2559.18 ms [2020-12-22 12:25:43 main:574] : INFO : Epoch 901 | loss: 0.0311746 | val_loss: 0.0311809 | Time: 2653.74 ms [2020-12-22 12:25:56 main:574] : INFO : Epoch 902 | loss: 0.0311719 | val_loss: 0.0311793 | Time: 12627.5 ms [2020-12-22 12:25:58 main:574] : INFO : Epoch 903 | loss: 0.0311729 | val_loss: 0.0311788 | Time: 2567.6 ms [2020-12-22 12:26:01 main:574] : INFO : Epoch 904 | loss: 0.031171 | val_loss: 0.0311794 | Time: 2554.01 ms [2020-12-22 12:26:03 main:574] : INFO : Epoch 905 | loss: 0.0311714 | val_loss: 0.0311801 | Time: 2643.94 ms [2020-12-22 12:26:06 main:574] : INFO : Epoch 906 | loss: 0.0311711 | val_loss: 0.0311835 | Time: 2579.49 ms [2020-12-22 12:26:09 main:574] : INFO : Epoch 907 | loss: 0.0311724 | val_loss: 0.0311796 | Time: 2549.87 ms [2020-12-22 12:26:11 main:574] : INFO : Epoch 908 | loss: 0.0311711 | val_loss: 0.0311792 | Time: 2669.79 ms [2020-12-22 12:26:14 main:574] : INFO : Epoch 909 | loss: 0.031174 | val_loss: 0.031181 | Time: 2652.5 ms [2020-12-22 12:26:16 main:574] : INFO : Epoch 910 | loss: 0.0311739 | val_loss: 0.0311774 | Time: 2567.72 ms [2020-12-22 12:26:20 main:574] : INFO : Epoch 911 | loss: 0.0311705 | val_loss: 0.0311782 | Time: 3071.67 ms [2020-12-22 12:26:23 main:574] : INFO : Epoch 912 | loss: 0.0311685 | val_loss: 0.0311779 | Time: 2976.96 ms [2020-12-22 12:26:45 main:574] : INFO : Epoch 913 | loss: 0.0311678 | val_loss: 0.0311788 | Time: 22534.8 ms [2020-12-22 12:26:48 main:574] : INFO : Epoch 914 | loss: 0.0311685 | val_loss: 0.031178 | Time: 2557.89 ms [2020-12-22 12:26:50 main:574] : INFO : Epoch 915 | loss: 0.0311688 | val_loss: 0.0311764 | Time: 2550.59 ms [2020-12-22 12:26:53 main:574] : INFO : Epoch 916 | loss: 0.0311686 | val_loss: 0.0311773 | Time: 2552.3 ms [2020-12-22 12:26:55 main:574] : INFO : Epoch 917 | loss: 0.0311673 | val_loss: 0.0311757 | Time: 2540.01 ms [2020-12-22 12:26:58 main:574] : INFO : Epoch 918 | loss: 0.0311667 | val_loss: 0.0311761 | Time: 2565.43 ms [2020-12-22 12:27:00 main:574] : INFO : Epoch 919 | loss: 0.0311664 | val_loss: 0.0311782 | Time: 2561.22 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: GeForce GTX 960M) [2020-12-22 12:30:49 main:435] : INFO : Set logging level to 1 [2020-12-22 12:30:49 main:441] : INFO : Running in BOINC Client mode [2020-12-22 12:30:49 main:444] : INFO : Resolving all filenames [2020-12-22 12:30:49 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 (exists = 1) [2020-12-22 12:30:49 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1605454919-16667-7_0_r522621798_1 (exists = 1) [2020-12-22 12:30:49 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1605454919-16667-7_0_r522621798_0 (exists = 0) [2020-12-22 12:30:49 main:452] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1605454919-16667-7 (exists = 1) [2020-12-22 12:30:49 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2020-12-22 12:30:49 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 [2020-12-22 12:30:49 main:474] : INFO : Configuration: [2020-12-22 12:30:49 main:475] : INFO : Model type: GRU [2020-12-22 12:30:49 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-12-22 12:30:49 main:477] : INFO : Max Epochs: 1024 [2020-12-22 12:30:49 main:478] : INFO : Batch Size: 128 [2020-12-22 12:30:49 main:479] : INFO : Learning Rate: 0.01 [2020-12-22 12:30:49 main:480] : INFO : Patience: 10 [2020-12-22 12:30:49 main:481] : INFO : Hidden Width: 12 [2020-12-22 12:30:49 main:482] : INFO : # Recurrent Layers: 4 [2020-12-22 12:30:49 main:483] : INFO : # Backend Layers: 4 [2020-12-22 12:30:49 main:484] : INFO : # Threads: 1 [2020-12-22 12:30:49 main:486] : INFO : Preparing Dataset [2020-12-22 12:30:49 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2020-12-22 12:30:50 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2020-12-22 12:30:52 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2020-12-22 12:30:52 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2020-12-22 12:30:52 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2020-12-22 12:30:52 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-12-22 12:30:52 main:494] : INFO : Creating Model [2020-12-22 12:30:52 main:507] : INFO : Preparing config file [2020-12-22 12:30:52 main:511] : INFO : Found checkpoint, attempting to load... [2020-12-22 12:30:52 main:512] : INFO : Loading config [2020-12-22 12:30:52 main:514] : INFO : Loading state [2020-12-22 12:30:53 main:559] : INFO : Loading DataLoader into Memory [2020-12-22 12:30:53 main:562] : INFO : Starting Training [2020-12-22 12:30:56 main:574] : INFO : Epoch 913 | loss: 0.0313247 | val_loss: 0.0312392 | Time: 2768.99 ms [2020-12-22 12:30:58 main:574] : INFO : Epoch 914 | loss: 0.0311984 | val_loss: 0.0311872 | Time: 2460.95 ms [2020-12-22 12:31:01 main:574] : INFO : Epoch 915 | loss: 0.0311769 | val_loss: 0.0311796 | Time: 2466.67 ms [2020-12-22 12:31:03 main:574] : INFO : Epoch 916 | loss: 0.0311723 | val_loss: 0.0311798 | Time: 2480.52 ms [2020-12-22 12:31:06 main:574] : INFO : Epoch 917 | loss: 0.031171 | val_loss: 0.0311788 | Time: 2472.11 ms [2020-12-22 12:31:08 main:574] : INFO : Epoch 918 | loss: 0.0311709 | val_loss: 0.0311782 | Time: 2474.89 ms [2020-12-22 12:31:11 main:574] : INFO : Epoch 919 | loss: 0.0311728 | val_loss: 0.0311766 | Time: 2479.53 ms [2020-12-22 12:31:13 main:574] : INFO : Epoch 920 | loss: 0.0311717 | val_loss: 0.0311758 | Time: 2480.15 ms [2020-12-22 12:31:16 main:574] : INFO : Epoch 921 | loss: 0.0311732 | val_loss: 0.0311772 | Time: 2526.88 ms [2020-12-22 12:31:18 main:574] : INFO : Epoch 922 | loss: 0.0311722 | val_loss: 0.0311733 | Time: 2479.95 ms [2020-12-22 12:31:21 main:574] : INFO : Epoch 923 | loss: 0.0311702 | val_loss: 0.0311802 | Time: 2478.47 ms [2020-12-22 12:31:23 main:574] : INFO : Epoch 924 | loss: 0.0311712 | val_loss: 0.0311741 | Time: 2477.15 ms [2020-12-22 12:31:26 main:574] : INFO : Epoch 925 | loss: 0.0311695 | val_loss: 0.0311756 | Time: 2505.26 ms [2020-12-22 12:31:28 main:574] : INFO : Epoch 926 | loss: 0.0311681 | val_loss: 0.0311731 | Time: 2479.06 ms [2020-12-22 12:31:31 main:574] : INFO : Epoch 927 | loss: 0.0311677 | val_loss: 0.0311776 | Time: 2482.51 ms [2020-12-22 12:31:33 main:574] : INFO : Epoch 928 | loss: 0.031169 | val_loss: 0.0311733 | Time: 2472.95 ms [2020-12-22 12:31:36 main:574] : INFO : Epoch 929 | loss: 0.0311675 | val_loss: 0.0311732 | Time: 2481.58 ms [2020-12-22 12:31:38 main:574] : INFO : Epoch 930 | loss: 0.0311684 | val_loss: 0.0311762 | Time: 2478.69 ms [2020-12-22 12:31:41 main:574] : INFO : Epoch 931 | loss: 0.0311673 | val_loss: 0.031173 | Time: 2521.51 ms [2020-12-22 12:31:43 main:574] : INFO : Epoch 932 | loss: 0.0311676 | val_loss: 0.0311725 | Time: 2477.79 ms [2020-12-22 12:31:46 main:574] : INFO : Epoch 933 | loss: 0.0311678 | val_loss: 0.0311767 | Time: 2483.3 ms [2020-12-22 12:31:48 main:574] : INFO : Epoch 934 | loss: 0.0311688 | val_loss: 0.0311759 | Time: 2729.21 ms [2020-12-22 12:31:51 main:574] : INFO : Epoch 935 | loss: 0.0311697 | val_loss: 0.031181 | Time: 2481.07 ms [2020-12-22 12:31:53 main:574] : INFO : Epoch 936 | loss: 0.0311708 | val_loss: 0.0311728 | Time: 2486.12 ms [2020-12-22 12:31:56 main:574] : INFO : Epoch 937 | loss: 0.031169 | val_loss: 0.0311738 | Time: 2471.34 ms [2020-12-22 12:31:58 main:574] : INFO : Epoch 938 | loss: 0.0311664 | val_loss: 0.031174 | Time: 2480.74 ms [2020-12-22 12:32:01 main:574] : INFO : Epoch 939 | loss: 0.0311659 | val_loss: 0.0311734 | Time: 2529.48 ms [2020-12-22 12:32:03 main:574] : INFO : Epoch 940 | loss: 0.0311666 | val_loss: 0.0311724 | Time: 2479.97 ms [2020-12-22 12:32:06 main:574] : INFO : Epoch 941 | loss: 0.0311679 | val_loss: 0.0311729 | Time: 2481.15 ms [2020-12-22 12:32:08 main:574] : INFO : Epoch 942 | loss: 0.0311653 | val_loss: 0.0311722 | Time: 2479.01 ms [2020-12-22 12:32:11 main:574] : INFO : Epoch 943 | loss: 0.031165 | val_loss: 0.031172 | Time: 2484.57 ms [2020-12-22 12:32:13 main:574] : INFO : Epoch 944 | loss: 0.031165 | val_loss: 0.0311737 | Time: 2479.61 ms [2020-12-22 12:32:16 main:574] : INFO : Epoch 945 | loss: 0.0311649 | val_loss: 0.0311741 | Time: 2473.93 ms [2020-12-22 12:32:18 main:574] : INFO : Epoch 946 | loss: 0.0311645 | val_loss: 0.0311733 | Time: 2474.95 ms [2020-12-22 12:32:21 main:574] : INFO : Epoch 947 | loss: 0.0311659 | val_loss: 0.0311724 | Time: 2491.61 ms [2020-12-22 12:32:23 main:574] : INFO : Epoch 948 | loss: 0.0311648 | val_loss: 0.0311721 | Time: 2486.23 ms [2020-12-22 12:32:26 main:574] : INFO : Epoch 949 | loss: 0.0311646 | val_loss: 0.0311758 | Time: 2572.46 ms [2020-12-22 12:32:28 main:574] : INFO : Epoch 950 | loss: 0.0311643 | val_loss: 0.0311734 | Time: 2484.03 ms [2020-12-22 12:32:31 main:574] : INFO : Epoch 951 | loss: 0.0311634 | val_loss: 0.0311727 | Time: 2490.61 ms [2020-12-22 12:32:33 main:574] : INFO : Epoch 952 | loss: 0.0311647 | val_loss: 0.0311731 | Time: 2479.07 ms [2020-12-22 12:32:36 main:574] : INFO : Epoch 953 | loss: 0.0311635 | val_loss: 0.0311727 | Time: 2484.57 ms [2020-12-22 12:32:38 main:574] : INFO : Epoch 954 | loss: 0.031164 | val_loss: 0.0311762 | Time: 2469.97 ms [2020-12-22 12:32:41 main:574] : INFO : Epoch 955 | loss: 0.0311624 | val_loss: 0.0311745 | Time: 2479.3 ms [2020-12-22 12:32:43 main:574] : INFO : Epoch 956 | loss: 0.0311638 | val_loss: 0.0311726 | Time: 2481.28 ms [2020-12-22 12:32:46 main:574] : INFO : Epoch 957 | loss: 0.031166 | val_loss: 0.0311719 | Time: 2478.38 ms [2020-12-22 12:32:48 main:574] : INFO : Epoch 958 | loss: 0.031163 | val_loss: 0.0311729 | Time: 2536.49 ms [2020-12-22 12:32:51 main:574] : INFO : Epoch 959 | loss: 0.0311631 | val_loss: 0.0311717 | Time: 2481.42 ms [2020-12-22 12:32:53 main:574] : INFO : Epoch 960 | loss: 0.031168 | val_loss: 0.0311714 | Time: 2477.42 ms [2020-12-22 12:32:56 main:574] : INFO : Epoch 961 | loss: 0.0311642 | val_loss: 0.0311708 | Time: 2483.25 ms [2020-12-22 12:32:58 main:574] : INFO : Epoch 962 | loss: 0.0311629 | val_loss: 0.0311704 | Time: 2471.6 ms [2020-12-22 12:33:01 main:574] : INFO : Epoch 963 | loss: 0.0311629 | val_loss: 0.0311718 | Time: 2469.15 ms [2020-12-22 12:33:03 main:574] : INFO : Epoch 964 | loss: 0.0311626 | val_loss: 0.0311735 | Time: 2480.5 ms [2020-12-22 12:33:06 main:574] : INFO : Epoch 965 | loss: 0.0311629 | val_loss: 0.0311723 | Time: 2478.08 ms [2020-12-22 12:33:08 main:574] : INFO : Epoch 966 | loss: 0.0311642 | val_loss: 0.0311747 | Time: 2471.58 ms [2020-12-22 12:33:11 main:574] : INFO : Epoch 967 | loss: 0.0311652 | val_loss: 0.0311732 | Time: 2480.37 ms [2020-12-22 12:33:13 main:574] : INFO : Epoch 968 | loss: 0.0311638 | val_loss: 0.0311731 | Time: 2484.17 ms [2020-12-22 12:33:16 main:574] : INFO : Epoch 969 | loss: 0.0311619 | val_loss: 0.031173 | Time: 2515.93 ms [2020-12-22 12:33:18 main:574] : INFO : Epoch 970 | loss: 0.0311625 | val_loss: 0.0311744 | Time: 2485.92 ms [2020-12-22 12:33:21 main:574] : INFO : Epoch 971 | loss: 0.0311625 | val_loss: 0.0311762 | Time: 2480.46 ms [2020-12-22 12:33:23 main:574] : INFO : Epoch 972 | loss: 0.0311659 | val_loss: 0.0311733 | Time: 2478.27 ms [2020-12-22 12:33:26 main:574] : INFO : Epoch 973 | loss: 0.0311624 | val_loss: 0.0311752 | Time: 2483.79 ms [2020-12-22 12:33:28 main:574] : INFO : Epoch 974 | loss: 0.0311619 | val_loss: 0.0311736 | Time: 2485.33 ms [2020-12-22 12:33:31 main:574] : INFO : Epoch 975 | loss: 0.0311617 | val_loss: 0.031174 | Time: 2482.12 ms [2020-12-22 12:33:33 main:574] : INFO : Epoch 976 | loss: 0.0311626 | val_loss: 0.0311752 | Time: 2476.56 ms [2020-12-22 12:33:36 main:574] : INFO : Epoch 977 | loss: 0.0311628 | val_loss: 0.0311739 | Time: 2472.79 ms [2020-12-22 12:33:38 main:574] : INFO : Epoch 978 | loss: 0.0311617 | val_loss: 0.0311728 | Time: 2488.55 ms [2020-12-22 12:33:41 main:574] : INFO : Epoch 979 | loss: 0.031162 | val_loss: 0.0311718 | Time: 2573.67 ms [2020-12-22 12:33:43 main:574] : INFO : Epoch 980 | loss: 0.0311623 | val_loss: 0.0311741 | Time: 2528.3 ms [2020-12-22 12:33:46 main:574] : INFO : Epoch 981 | loss: 0.0311609 | val_loss: 0.0311743 | Time: 2494.89 ms [2020-12-22 12:33:48 main:574] : INFO : Epoch 982 | loss: 0.0311605 | val_loss: 0.0311781 | Time: 2483.97 ms [2020-12-22 12:33:51 main:574] : INFO : Epoch 983 | loss: 0.0311604 | val_loss: 0.0311738 | Time: 2471.67 ms [2020-12-22 12:33:53 main:574] : INFO : Epoch 984 | loss: 0.0311608 | val_loss: 0.0311749 | Time: 2478.7 ms [2020-12-22 12:33:56 main:574] : INFO : Epoch 985 | loss: 0.0311638 | val_loss: 0.0311721 | Time: 2485.71 ms [2020-12-22 12:33:58 main:574] : INFO : Epoch 986 | loss: 0.0311608 | val_loss: 0.0311753 | Time: 2523.31 ms [2020-12-22 12:34:01 main:574] : INFO : Epoch 987 | loss: 0.0311608 | val_loss: 0.0311738 | Time: 2476.89 ms [2020-12-22 12:34:03 main:574] : INFO : Epoch 988 | loss: 0.031163 | val_loss: 0.031175 | Time: 2551.99 ms [2020-12-22 12:34:06 main:574] : INFO : Epoch 989 | loss: 0.0311664 | val_loss: 0.0311727 | Time: 2489.37 ms [2020-12-22 12:34:08 main:574] : INFO : Epoch 990 | loss: 0.0311654 | val_loss: 0.0311771 | Time: 2476.71 ms [2020-12-22 12:34:11 main:574] : INFO : Epoch 991 | loss: 0.0311656 | val_loss: 0.0311752 | Time: 2486.62 ms [2020-12-22 12:34:13 main:574] : INFO : Epoch 992 | loss: 0.031162 | val_loss: 0.0311739 | Time: 2486.54 ms [2020-12-22 12:34:16 main:574] : INFO : Epoch 993 | loss: 0.0311614 | val_loss: 0.031174 | Time: 2483.44 ms [2020-12-22 12:34:18 main:574] : INFO : Epoch 994 | loss: 0.0311608 | val_loss: 0.0311732 | Time: 2471.47 ms [2020-12-22 12:34:21 main:574] : INFO : Epoch 995 | loss: 0.0311616 | val_loss: 0.0311757 | Time: 2478.4 ms [2020-12-22 12:34:23 main:574] : INFO : Epoch 996 | loss: 0.0311608 | val_loss: 0.0311756 | Time: 2479.17 ms [2020-12-22 12:34:26 main:574] : INFO : Epoch 997 | loss: 0.0311598 | val_loss: 0.0311767 | Time: 2472.95 ms [2020-12-22 12:34:28 main:574] : INFO : Epoch 998 | loss: 0.0311604 | val_loss: 0.0311743 | Time: 2522.62 ms [2020-12-22 12:34:31 main:574] : INFO : Epoch 999 | loss: 0.0311589 | val_loss: 0.0311737 | Time: 2481.07 ms [2020-12-22 12:34:33 main:574] : INFO : Epoch 1000 | loss: 0.0311598 | val_loss: 0.0311766 | Time: 2470.52 ms [2020-12-22 12:34:36 main:574] : INFO : Epoch 1001 | loss: 0.0311584 | val_loss: 0.0311739 | Time: 2484.17 ms [2020-12-22 12:34:38 main:574] : INFO : Epoch 1002 | loss: 0.0311591 | val_loss: 0.0311757 | Time: 2471.33 ms [2020-12-22 12:34:40 main:574] : INFO : Epoch 1003 | loss: 0.0311601 | val_loss: 0.0311734 | Time: 2482.41 ms [2020-12-22 12:34:43 main:574] : INFO : Epoch 1004 | loss: 0.0311599 | val_loss: 0.031175 | Time: 2489.75 ms [2020-12-22 12:34:45 main:574] : INFO : Epoch 1005 | loss: 0.0311609 | val_loss: 0.0311734 | Time: 2486.95 ms [2020-12-22 12:34:48 main:574] : INFO : Epoch 1006 | loss: 0.0311586 | val_loss: 0.031173 | Time: 2534.24 ms [2020-12-22 12:34:50 main:574] : INFO : Epoch 1007 | loss: 0.0311582 | val_loss: 0.0311749 | Time: 2486.03 ms [2020-12-22 12:34:53 main:574] : INFO : Epoch 1008 | loss: 0.031164 | val_loss: 0.0311733 | Time: 2484.54 ms [2020-12-22 12:34:55 main:574] : INFO : Epoch 1009 | loss: 0.031166 | val_loss: 0.0311757 | Time: 2474.68 ms [2020-12-22 12:34:58 main:574] : INFO : Epoch 1010 | loss: 0.0311636 | val_loss: 0.0311755 | Time: 2480.04 ms [2020-12-22 12:35:00 main:574] : INFO : Epoch 1011 | loss: 0.0311638 | val_loss: 0.0311747 | Time: 2488.91 ms [2020-12-22 12:35:03 main:574] : INFO : Epoch 1012 | loss: 0.0311608 | val_loss: 0.0311734 | Time: 2473.14 ms [2020-12-22 12:35:05 main:574] : INFO : Epoch 1013 | loss: 0.031161 | val_loss: 0.0311799 | Time: 2478.33 ms [2020-12-22 12:35:08 main:574] : INFO : Epoch 1014 | loss: 0.0311607 | val_loss: 0.0311729 | Time: 2483.04 ms [2020-12-22 12:35:10 main:574] : INFO : Epoch 1015 | loss: 0.0311588 | val_loss: 0.0311734 | Time: 2478.31 ms [2020-12-22 12:35:13 main:574] : INFO : Epoch 1016 | loss: 0.0311602 | val_loss: 0.0311772 | Time: 2540.14 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: GeForce GTX 960M) [2020-12-22 12:39:09 main:435] : INFO : Set logging level to 1 [2020-12-22 12:39:09 main:441] : INFO : Running in BOINC Client mode [2020-12-22 12:39:09 main:444] : INFO : Resolving all filenames [2020-12-22 12:39:09 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 (exists = 1) [2020-12-22 12:39:09 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1605454919-16667-7_0_r522621798_1 (exists = 1) [2020-12-22 12:39:09 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1605454919-16667-7_0_r522621798_0 (exists = 0) [2020-12-22 12:39:09 main:452] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1605454919-16667-7 (exists = 1) [2020-12-22 12:39:09 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2020-12-22 12:39:09 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 [2020-12-22 12:39:09 main:474] : INFO : Configuration: [2020-12-22 12:39:09 main:475] : INFO : Model type: GRU [2020-12-22 12:39:09 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-12-22 12:39:09 main:477] : INFO : Max Epochs: 1024 [2020-12-22 12:39:09 main:478] : INFO : Batch Size: 128 [2020-12-22 12:39:09 main:479] : INFO : Learning Rate: 0.01 [2020-12-22 12:39:09 main:480] : INFO : Patience: 10 [2020-12-22 12:39:09 main:481] : INFO : Hidden Width: 12 [2020-12-22 12:39:09 main:482] : INFO : # Recurrent Layers: 4 [2020-12-22 12:39:09 main:483] : INFO : # Backend Layers: 4 [2020-12-22 12:39:09 main:484] : INFO : # Threads: 1 [2020-12-22 12:39:09 main:486] : INFO : Preparing Dataset [2020-12-22 12:39:09 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2020-12-22 12:39:09 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2020-12-22 12:39:11 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2020-12-22 12:39:11 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2020-12-22 12:39:12 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2020-12-22 12:39:12 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-12-22 12:39:12 main:494] : INFO : Creating Model [2020-12-22 12:39:12 main:507] : INFO : Preparing config file [2020-12-22 12:39:12 main:511] : INFO : Found checkpoint, attempting to load... [2020-12-22 12:39:12 main:512] : INFO : Loading config [2020-12-22 12:39:12 main:514] : INFO : Loading state [2020-12-22 12:39:13 main:559] : INFO : Loading DataLoader into Memory [2020-12-22 12:39:13 main:562] : INFO : Starting Training [2020-12-22 12:39:16 main:574] : INFO : Epoch 1011 | loss: 0.0312524 | val_loss: 0.0311852 | Time: 2783.8 ms [2020-12-22 12:39:18 main:574] : INFO : Epoch 1012 | loss: 0.0311719 | val_loss: 0.0311776 | Time: 2542.7 ms [2020-12-22 12:39:21 main:574] : INFO : Epoch 1013 | loss: 0.0311654 | val_loss: 0.031179 | Time: 2483.28 ms [2020-12-22 12:39:23 main:574] : INFO : Epoch 1014 | loss: 0.0311651 | val_loss: 0.0311746 | Time: 2475.11 ms [2020-12-22 12:39:26 main:574] : INFO : Epoch 1015 | loss: 0.0311613 | val_loss: 0.0311764 | Time: 2482.94 ms [2020-12-22 12:39:28 main:574] : INFO : Epoch 1016 | loss: 0.0311604 | val_loss: 0.0311741 | Time: 2507.15 ms [2020-12-22 12:39:31 main:574] : INFO : Epoch 1017 | loss: 0.0311603 | val_loss: 0.0311762 | Time: 2503.25 ms [2020-12-22 12:39:33 main:574] : INFO : Epoch 1018 | loss: 0.031161 | val_loss: 0.0311752 | Time: 2478.24 ms [2020-12-22 12:39:36 main:574] : INFO : Epoch 1019 | loss: 0.0311589 | val_loss: 0.0311754 | Time: 2475.36 ms [2020-12-22 12:39:38 main:574] : INFO : Epoch 1020 | loss: 0.0311585 | val_loss: 0.031175 | Time: 2496.94 ms [2020-12-22 12:39:41 main:574] : INFO : Epoch 1021 | loss: 0.0311592 | val_loss: 0.0311774 | Time: 2491.2 ms [2020-12-22 12:39:43 main:574] : INFO : Epoch 1022 | loss: 0.0311622 | val_loss: 0.0311748 | Time: 2559.14 ms [2020-12-22 12:39:46 main:574] : INFO : Epoch 1023 | loss: 0.0311581 | val_loss: 0.0311751 | Time: 2489.4 ms [2020-12-22 12:39:48 main:574] : INFO : Epoch 1024 | loss: 0.0311605 | val_loss: 0.031171 | Time: 2511.33 ms [2020-12-22 12:39:48 main:597] : INFO : Saving trained model to model-final.pt, val_loss 0.031171 [2020-12-22 12:39:48 main:603] : INFO : Saving end state to config to file [2020-12-22 12:39:48 main:608] : INFO : Success, exiting.. 12:39:48 (22344): 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)