Task 11931955
| Name | ParityModified-1639964116-18764-3-0_0 |
| Workunit | 9128785 |
| Created | 23 Feb 2022, 4:19:15 UTC |
| Sent | 27 Feb 2022, 15:13:07 UTC |
| Report deadline | 7 Mar 2022, 15:13:07 UTC |
| Received | 3 Mar 2022, 19:57:28 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 1150 |
| Run time | 56 min 58 sec |
| CPU time | 55 min 21 sec |
| Validate state | Valid |
| Credit | 4,160.00 |
| Device peak FLOPS | 4,174.91 GFLOPS |
| Application version | Machine Learning Dataset Generator (GPU) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 2.25 GB |
| Peak swap size | 3.48 GB |
| Peak disk usage | 1.54 GB |
Stderr output
<core_client_version>7.16.20</core_client_version>
<![CDATA[
<stderr_txt>
load:106] : INFO : Successfully loaded dataset of 512 examples into memory.
[2022-03-03 13:32:06 main:494] : INFO : Creating Model
[2022-03-03 13:32:06 main:507] : INFO : Preparing config file
[2022-03-03 13:32:06 main:511] : INFO : Found checkpoint, attempting to load...
[2022-03-03 13:32:06 main:512] : INFO : Loading config
[2022-03-03 13:32:06 main:514] : INFO : Loading state
[2022-03-03 13:32:06 main:559] : INFO : Loading DataLoader into Memory
[2022-03-03 13:32:06 main:562] : INFO : Starting Training
[2022-03-03 13:32:08 main:574] : INFO : Epoch 1667 | loss: 0.0311844 | val_loss: 0.0311738 | Time: 1816.18 ms
[2022-03-03 13:32:10 main:574] : INFO : Epoch 1668 | loss: 0.03116 | val_loss: 0.031166 | Time: 1612.7 ms
[2022-03-03 13:32:11 main:574] : INFO : Epoch 1669 | loss: 0.031157 | val_loss: 0.031169 | Time: 1616.5 ms
[2022-03-03 13:32:13 main:574] : INFO : Epoch 1670 | loss: 0.0311575 | val_loss: 0.0311723 | Time: 1620.42 ms
[2022-03-03 13:32:14 main:574] : INFO : Epoch 1671 | loss: 0.0311564 | val_loss: 0.031166 | Time: 1623.07 ms
[2022-03-03 13:32:16 main:574] : INFO : Epoch 1672 | loss: 0.0311596 | val_loss: 0.0311709 | Time: 1630.69 ms
[2022-03-03 13:32:18 main:574] : INFO : Epoch 1673 | loss: 0.0311573 | val_loss: 0.031165 | Time: 1623.08 ms
[2022-03-03 13:32:19 main:574] : INFO : Epoch 1674 | loss: 0.0311565 | val_loss: 0.0311636 | Time: 1621.7 ms
[2022-03-03 13:32:21 main:574] : INFO : Epoch 1675 | loss: 0.0311545 | val_loss: 0.0311655 | Time: 1624.78 ms
[2022-03-03 13:32:23 main:574] : INFO : Epoch 1676 | loss: 0.0311541 | val_loss: 0.0311651 | Time: 1633.06 ms
[2022-03-03 13:32:24 main:574] : INFO : Epoch 1677 | loss: 0.0311544 | val_loss: 0.0311676 | Time: 1618.03 ms
[2022-03-03 13:32:26 main:574] : INFO : Epoch 1678 | loss: 0.0311527 | val_loss: 0.0311635 | Time: 1631.25 ms
[2022-03-03 13:32:28 main:574] : INFO : Epoch 1679 | loss: 0.0311535 | val_loss: 0.0311648 | Time: 1629.89 ms
[2022-03-03 13:32:29 main:574] : INFO : Epoch 1680 | loss: 0.0311534 | val_loss: 0.0311688 | Time: 1623.37 ms
[2022-03-03 13:32:31 main:574] : INFO : Epoch 1681 | loss: 0.0311542 | val_loss: 0.0311682 | Time: 1624.44 ms
[2022-03-03 13:32:32 main:574] : INFO : Epoch 1682 | loss: 0.0311577 | val_loss: 0.031167 | Time: 1629.48 ms
[2022-03-03 13:32:34 main:574] : INFO : Epoch 1683 | loss: 0.0311552 | val_loss: 0.0311638 | Time: 1626.23 ms
[2022-03-03 13:32:36 main:574] : INFO : Epoch 1684 | loss: 0.0311552 | val_loss: 0.031166 | Time: 1636.05 ms
[2022-03-03 13:32:37 main:574] : INFO : Epoch 1685 | loss: 0.0311549 | val_loss: 0.0311633 | Time: 1632.59 ms
[2022-03-03 13:32:39 main:574] : INFO : Epoch 1686 | loss: 0.0311549 | val_loss: 0.0311646 | Time: 1624.81 ms
[2022-03-03 13:32:41 main:574] : INFO : Epoch 1687 | loss: 0.0311539 | val_loss: 0.0311642 | Time: 1628.1 ms
[2022-03-03 13:32:42 main:574] : INFO : Epoch 1688 | loss: 0.0311533 | val_loss: 0.0311679 | Time: 1626.11 ms
[2022-03-03 13:32:44 main:574] : INFO : Epoch 1689 | loss: 0.031155 | val_loss: 0.0311642 | Time: 1622.8 ms
[2022-03-03 13:32:45 main:574] : INFO : Epoch 1690 | loss: 0.0311561 | val_loss: 0.03117 | Time: 1626.89 ms
[2022-03-03 13:32:47 main:574] : INFO : Epoch 1691 | loss: 0.031155 | val_loss: 0.0311641 | Time: 1632.24 ms
[2022-03-03 13:32:49 main:574] : INFO : Epoch 1692 | loss: 0.0311581 | val_loss: 0.0311706 | Time: 1620.06 ms
[2022-03-03 13:32:50 main:574] : INFO : Epoch 1693 | loss: 0.0311623 | val_loss: 0.0311711 | Time: 1628.25 ms
[2022-03-03 13:32:52 main:574] : INFO : Epoch 1694 | loss: 0.031163 | val_loss: 0.0311759 | Time: 1621.16 ms
[2022-03-03 13:32:54 main:574] : INFO : Epoch 1695 | loss: 0.0311607 | val_loss: 0.0311736 | Time: 1621.49 ms
[2022-03-03 13:32:55 main:574] : INFO : Epoch 1696 | loss: 0.031161 | val_loss: 0.031168 | Time: 1632.98 ms
[2022-03-03 13:32:57 main:574] : INFO : Epoch 1697 | loss: 0.0311615 | val_loss: 0.0311692 | Time: 1634.8 ms
[2022-03-03 13:32:59 main:574] : INFO : Epoch 1698 | loss: 0.0311615 | val_loss: 0.031169 | Time: 1624.06 ms
[2022-03-03 13:33:00 main:574] : INFO : Epoch 1699 | loss: 0.0311613 | val_loss: 0.0311681 | Time: 1628.8 ms
[2022-03-03 13:33:02 main:574] : INFO : Epoch 1700 | loss: 0.0311602 | val_loss: 0.0311743 | Time: 1624.88 ms
[2022-03-03 13:33:03 main:574] : INFO : Epoch 1701 | loss: 0.0311616 | val_loss: 0.0311685 | Time: 1629.47 ms
[2022-03-03 13:33:05 main:574] : INFO : Epoch 1702 | loss: 0.0311594 | val_loss: 0.0311681 | Time: 1644.47 ms
[2022-03-03 13:33:07 main:574] : INFO : Epoch 1703 | loss: 0.0311589 | val_loss: 0.0311703 | Time: 1633.16 ms
[2022-03-03 13:33:08 main:574] : INFO : Epoch 1704 | loss: 0.0311574 | val_loss: 0.0311667 | Time: 1620.98 ms
[2022-03-03 13:33:10 main:574] : INFO : Epoch 1705 | loss: 0.0311556 | val_loss: 0.0311682 | Time: 1630.4 ms
[2022-03-03 13:33:12 main:574] : INFO : Epoch 1706 | loss: 0.0311581 | val_loss: 0.0311703 | Time: 1629.04 ms
[2022-03-03 13:33:13 main:574] : INFO : Epoch 1707 | loss: 0.0311552 | val_loss: 0.031167 | Time: 1634.43 ms
[2022-03-03 13:33:15 main:574] : INFO : Epoch 1708 | loss: 0.0311561 | val_loss: 0.0311644 | Time: 1632.84 ms
[2022-03-03 13:33:17 main:574] : INFO : Epoch 1709 | loss: 0.031155 | val_loss: 0.0311664 | Time: 1632.06 ms
[2022-03-03 13:33:18 main:574] : INFO : Epoch 1710 | loss: 0.0311566 | val_loss: 0.0311704 | Time: 1630.03 ms
[2022-03-03 13:33:20 main:574] : INFO : Epoch 1711 | loss: 0.031159 | val_loss: 0.0311695 | Time: 1638.93 ms
[2022-03-03 13:33:21 main:574] : INFO : Epoch 1712 | loss: 0.0311595 | val_loss: 0.0311687 | Time: 1631 ms
[2022-03-03 13:33:23 main:574] : INFO : Epoch 1713 | loss: 0.0311596 | val_loss: 0.031172 | Time: 1630.22 ms
[2022-03-03 13:33:25 main:574] : INFO : Epoch 1714 | loss: 0.0311637 | val_loss: 0.0311697 | Time: 1633.4 ms
[2022-03-03 13:33:26 main:574] : INFO : Epoch 1715 | loss: 0.0311658 | val_loss: 0.0311685 | Time: 1631.88 ms
[2022-03-03 13:33:28 main:574] : INFO : Epoch 1716 | loss: 0.0311658 | val_loss: 0.031167 | Time: 1626.8 ms
[2022-03-03 13:33:30 main:574] : INFO : Epoch 1717 | loss: 0.0311637 | val_loss: 0.0311689 | Time: 1627.17 ms
[2022-03-03 13:33:31 main:574] : INFO : Epoch 1718 | loss: 0.0311622 | val_loss: 0.0311693 | Time: 1627.49 ms
[2022-03-03 13:33:33 main:574] : INFO : Epoch 1719 | loss: 0.0311668 | val_loss: 0.0311838 | Time: 1624.29 ms
[2022-03-03 13:33:35 main:574] : INFO : Epoch 1720 | loss: 0.031181 | val_loss: 0.0311918 | Time: 1633.89 ms
[2022-03-03 13:33:36 main:574] : INFO : Epoch 1721 | loss: 0.031183 | val_loss: 0.0311916 | Time: 1635.9 ms
[2022-03-03 13:33:38 main:574] : INFO : Epoch 1722 | loss: 0.0311804 | val_loss: 0.0311848 | Time: 1642.41 ms
[2022-03-03 13:33:39 main:574] : INFO : Epoch 1723 | loss: 0.0311769 | val_loss: 0.0311839 | Time: 1631.35 ms
[2022-03-03 13:33:41 main:574] : INFO : Epoch 1724 | loss: 0.0311753 | val_loss: 0.0311904 | Time: 1629.94 ms
[2022-03-03 13:33:43 main:574] : INFO : Epoch 1725 | loss: 0.0311755 | val_loss: 0.031185 | Time: 1627.58 ms
[2022-03-03 13:33:44 main:574] : INFO : Epoch 1726 | loss: 0.031174 | val_loss: 0.0311813 | Time: 1629.63 ms
[2022-03-03 13:33:46 main:574] : INFO : Epoch 1727 | loss: 0.0311724 | val_loss: 0.0311804 | Time: 1642.15 ms
[2022-03-03 13:33:48 main:574] : INFO : Epoch 1728 | loss: 0.0311711 | val_loss: 0.0311803 | Time: 1621.01 ms
[2022-03-03 13:33:49 main:574] : INFO : Epoch 1729 | loss: 0.0311695 | val_loss: 0.0311807 | Time: 1635.8 ms
[2022-03-03 13:33:51 main:574] : INFO : Epoch 1730 | loss: 0.0311699 | val_loss: 0.0311792 | Time: 1627.56 ms
[2022-03-03 13:33:53 main:574] : INFO : Epoch 1731 | loss: 0.0311709 | val_loss: 0.0311803 | Time: 1627.9 ms
[2022-03-03 13:33:54 main:574] : INFO : Epoch 1732 | loss: 0.0311729 | val_loss: 0.0311792 | Time: 1636.05 ms
[2022-03-03 13:33:56 main:574] : INFO : Epoch 1733 | loss: 0.0311709 | val_loss: 0.0311776 | Time: 1635.21 ms
[2022-03-03 13:33:58 main:574] : INFO : Epoch 1734 | loss: 0.0311698 | val_loss: 0.031178 | Time: 1630.59 ms
[2022-03-03 13:33:59 main:574] : INFO : Epoch 1735 | loss: 0.0311703 | val_loss: 0.0311785 | Time: 1628.57 ms
[2022-03-03 13:34:01 main:574] : INFO : Epoch 1736 | loss: 0.0311697 | val_loss: 0.0311771 | Time: 1628.63 ms
[2022-03-03 13:34:02 main:574] : INFO : Epoch 1737 | loss: 0.0311688 | val_loss: 0.0311751 | Time: 1627.71 ms
[2022-03-03 13:34:04 main:574] : INFO : Epoch 1738 | loss: 0.031168 | val_loss: 0.0311798 | Time: 1635 ms
[2022-03-03 13:34:06 main:574] : INFO : Epoch 1739 | loss: 0.0311693 | val_loss: 0.031176 | Time: 1638.99 ms
[2022-03-03 13:34:07 main:574] : INFO : Epoch 1740 | loss: 0.0311714 | val_loss: 0.0311795 | Time: 1638.29 ms
[2022-03-03 13:34:09 main:574] : INFO : Epoch 1741 | loss: 0.0311736 | val_loss: 0.0311756 | Time: 1620.4 ms
[2022-03-03 13:34:11 main:574] : INFO : Epoch 1742 | loss: 0.031172 | val_loss: 0.0311739 | Time: 1635.01 ms
[2022-03-03 13:34:12 main:574] : INFO : Epoch 1743 | loss: 0.031172 | val_loss: 0.0311769 | Time: 1619.93 ms
[2022-03-03 13:34:14 main:574] : INFO : Epoch 1744 | loss: 0.0311741 | val_loss: 0.0311767 | Time: 1632.84 ms
[2022-03-03 13:34:16 main:574] : INFO : Epoch 1745 | loss: 0.0311713 | val_loss: 0.0311733 | Time: 1625.82 ms
[2022-03-03 13:34:17 main:574] : INFO : Epoch 1746 | loss: 0.0311724 | val_loss: 0.0311732 | Time: 1640.17 ms
[2022-03-03 13:34:19 main:574] : INFO : Epoch 1747 | loss: 0.0311703 | val_loss: 0.0311725 | Time: 1619.55 ms
[2022-03-03 13:34:20 main:574] : INFO : Epoch 1748 | loss: 0.0311698 | val_loss: 0.0311714 | Time: 1635.85 ms
[2022-03-03 13:34:22 main:574] : INFO : Epoch 1749 | loss: 0.0311692 | val_loss: 0.0311714 | Time: 1623.03 ms
[2022-03-03 13:34:24 main:574] : INFO : Epoch 1750 | loss: 0.0311698 | val_loss: 0.0311781 | Time: 1629.44 ms
[2022-03-03 13:34:25 main:574] : INFO : Epoch 1751 | loss: 0.0311713 | val_loss: 0.0311721 | Time: 1630.52 ms
[2022-03-03 13:34:27 main:574] : INFO : Epoch 1752 | loss: 0.0311678 | val_loss: 0.0311733 | Time: 1637.52 ms
[2022-03-03 13:34:29 main:574] : INFO : Epoch 1753 | loss: 0.0311678 | val_loss: 0.031172 | Time: 1627.99 ms
[2022-03-03 13:34:30 main:574] : INFO : Epoch 1754 | loss: 0.0311676 | val_loss: 0.0311715 | Time: 1626.56 ms
[2022-03-03 13:34:32 main:574] : INFO : Epoch 1755 | loss: 0.0311676 | val_loss: 0.0311735 | Time: 1625.04 ms
[2022-03-03 13:34:34 main:574] : INFO : Epoch 1756 | loss: 0.0311704 | val_loss: 0.0311732 | Time: 1634.84 ms
[2022-03-03 13:34:35 main:574] : INFO : Epoch 1757 | loss: 0.0311678 | val_loss: 0.0311744 | Time: 1629.44 ms
[2022-03-03 13:34:37 main:574] : INFO : Epoch 1758 | loss: 0.0311679 | val_loss: 0.0311728 | Time: 1640.66 ms
[2022-03-03 13:34:38 main:574] : INFO : Epoch 1759 | loss: 0.031168 | val_loss: 0.0311735 | Time: 1623.93 ms
[2022-03-03 13:34:40 main:574] : INFO : Epoch 1760 | loss: 0.0311686 | val_loss: 0.0311737 | Time: 1629.35 ms
[2022-03-03 13:34:42 main:574] : INFO : Epoch 1761 | loss: 0.0311665 | val_loss: 0.0311728 | Time: 1624.64 ms
[2022-03-03 13:34:43 main:574] : INFO : Epoch 1762 | loss: 0.0311665 | val_loss: 0.0311755 | Time: 1631.49 ms
[2022-03-03 13:34:45 main:574] : INFO : Epoch 1763 | loss: 0.0311654 | val_loss: 0.0311737 | Time: 1626.46 ms
[2022-03-03 13:34:47 main:574] : INFO : Epoch 1764 | loss: 0.0311636 | val_loss: 0.031173 | Time: 1631.94 ms
[2022-03-03 13:34:48 main:574] : INFO : Epoch 1765 | loss: 0.0311633 | val_loss: 0.0311735 | Time: 1627.86 ms
[2022-03-03 13:34:50 main:574] : INFO : Epoch 1766 | loss: 0.0311637 | val_loss: 0.0311761 | Time: 1632.25 ms
[2022-03-03 13:34:52 main:574] : INFO : Epoch 1767 | loss: 0.0311662 | val_loss: 0.0311796 | Time: 1631.01 ms
[2022-03-03 13:34:53 main:574] : INFO : Epoch 1768 | loss: 0.0311653 | val_loss: 0.0311732 | Time: 1633.2 ms
[2022-03-03 13:34:55 main:574] : INFO : Epoch 1769 | loss: 0.0311643 | val_loss: 0.0311727 | Time: 1629.74 ms
[2022-03-03 13:34:56 main:574] : INFO : Epoch 1770 | loss: 0.0311631 | val_loss: 0.0311742 | Time: 1629 ms
[2022-03-03 13:34:58 main:574] : INFO : Epoch 1771 | loss: 0.031163 | val_loss: 0.0311734 | Time: 1629.77 ms
[2022-03-03 13:35:00 main:574] : INFO : Epoch 1772 | loss: 0.0311657 | val_loss: 0.0311719 | Time: 1626.68 ms
[2022-03-03 13:35:01 main:574] : INFO : Epoch 1773 | loss: 0.031162 | val_loss: 0.0311743 | Time: 1624.55 ms
[2022-03-03 13:35:03 main:574] : INFO : Epoch 1774 | loss: 0.0311611 | val_loss: 0.0311741 | Time: 1629.85 ms
[2022-03-03 13:35:05 main:574] : INFO : Epoch 1775 | loss: 0.0311643 | val_loss: 0.031184 | Time: 1632.57 ms
[2022-03-03 13:35:06 main:574] : INFO : Epoch 1776 | loss: 0.0311662 | val_loss: 0.0311775 | Time: 1641.19 ms
[2022-03-03 13:35:08 main:574] : INFO : Epoch 1777 | loss: 0.0311662 | val_loss: 0.0311742 | Time: 1636.92 ms
[2022-03-03 13:35:10 main:574] : INFO : Epoch 1778 | loss: 0.0311613 | val_loss: 0.0311742 | Time: 1625.03 ms
[2022-03-03 13:35:11 main:574] : INFO : Epoch 1779 | loss: 0.0311606 | val_loss: 0.0311731 | Time: 1634.85 ms
[2022-03-03 13:35:13 main:574] : INFO : Epoch 1780 | loss: 0.0311594 | val_loss: 0.0311726 | Time: 1620.46 ms
[2022-03-03 13:35:14 main:574] : INFO : Epoch 1781 | loss: 0.0311597 | val_loss: 0.0311739 | Time: 1629.85 ms
[2022-03-03 13:35:16 main:574] : INFO : Epoch 1782 | loss: 0.0311606 | val_loss: 0.0311752 | Time: 1635.27 ms
[2022-03-03 13:35:18 main:574] : INFO : Epoch 1783 | loss: 0.0311615 | val_loss: 0.0311716 | Time: 1636.55 ms
[2022-03-03 13:35:19 main:574] : INFO : Epoch 1784 | loss: 0.0311612 | val_loss: 0.0311711 | Time: 1623.66 ms
[2022-03-03 13:35:21 main:574] : INFO : Epoch 1785 | loss: 0.0311612 | val_loss: 0.0311721 | Time: 1634.74 ms
[2022-03-03 13:35:23 main:574] : INFO : Epoch 1786 | loss: 0.0311595 | val_loss: 0.031171 | Time: 1628.47 ms
[2022-03-03 13:35:24 main:574] : INFO : Epoch 1787 | loss: 0.0311596 | val_loss: 0.031172 | Time: 1626.6 ms
[2022-03-03 13:35:26 main:574] : INFO : Epoch 1788 | loss: 0.0311592 | val_loss: 0.0311716 | Time: 1630.29 ms
[2022-03-03 13:35:28 main:574] : INFO : Epoch 1789 | loss: 0.0311595 | val_loss: 0.0311722 | Time: 1629.62 ms
[2022-03-03 13:35:29 main:574] : INFO : Epoch 1790 | loss: 0.0311615 | val_loss: 0.0311732 | Time: 1625.11 ms
[2022-03-03 13:35:31 main:574] : INFO : Epoch 1791 | loss: 0.0311597 | val_loss: 0.0311727 | Time: 1627.45 ms
[2022-03-03 13:35:32 main:574] : INFO : Epoch 1792 | loss: 0.0311591 | val_loss: 0.031173 | Time: 1624.56 ms
[2022-03-03 13:35:34 main:574] : INFO : Epoch 1793 | loss: 0.0311599 | val_loss: 0.0311711 | Time: 1631.07 ms
[2022-03-03 13:35:36 main:574] : INFO : Epoch 1794 | loss: 0.0311604 | val_loss: 0.0311697 | Time: 1630.22 ms
[2022-03-03 13:35:37 main:574] : INFO : Epoch 1795 | loss: 0.0311631 | val_loss: 0.0311707 | Time: 1642 ms
[2022-03-03 13:35:39 main:574] : INFO : Epoch 1796 | loss: 0.0311614 | val_loss: 0.0311692 | Time: 1636.36 ms
[2022-03-03 13:35:41 main:574] : INFO : Epoch 1797 | loss: 0.0311586 | val_loss: 0.0311691 | Time: 1629.73 ms
[2022-03-03 13:35:42 main:574] : INFO : Epoch 1798 | loss: 0.0311572 | val_loss: 0.0311727 | Time: 1627.51 ms
[2022-03-03 13:35:44 main:574] : INFO : Epoch 1799 | loss: 0.0311579 | val_loss: 0.0311692 | Time: 1629.3 ms
[2022-03-03 13:35:46 main:574] : INFO : Epoch 1800 | loss: 0.0311586 | val_loss: 0.0311706 | Time: 1636.46 ms
[2022-03-03 13:35:47 main:574] : INFO : Epoch 1801 | loss: 0.0311578 | val_loss: 0.0311735 | Time: 1638.18 ms
[2022-03-03 13:35:49 main:574] : INFO : Epoch 1802 | loss: 0.0311587 | val_loss: 0.0311732 | Time: 1625.18 ms
[2022-03-03 13:35:50 main:574] : INFO : Epoch 1803 | loss: 0.0311604 | val_loss: 0.0311694 | Time: 1628.38 ms
[2022-03-03 13:35:52 main:574] : INFO : Epoch 1804 | loss: 0.0311609 | val_loss: 0.0311692 | Time: 1629.97 ms
[2022-03-03 13:35:54 main:574] : INFO : Epoch 1805 | loss: 0.0311588 | val_loss: 0.0311715 | Time: 1620.67 ms
[2022-03-03 13:35:55 main:574] : INFO : Epoch 1806 | loss: 0.0311557 | val_loss: 0.0311703 | Time: 1635.24 ms
[2022-03-03 13:35:57 main:574] : INFO : Epoch 1807 | loss: 0.0311582 | val_loss: 0.0311738 | Time: 1632.63 ms
[2022-03-03 13:35:59 main:574] : INFO : Epoch 1808 | loss: 0.0311589 | val_loss: 0.0311691 | Time: 1624.8 ms
[2022-03-03 13:36:00 main:574] : INFO : Epoch 1809 | loss: 0.0311587 | val_loss: 0.0311697 | Time: 1632.09 ms
[2022-03-03 13:36:02 main:574] : INFO : Epoch 1810 | loss: 0.0311576 | val_loss: 0.0311698 | Time: 1634.18 ms
[2022-03-03 13:36:04 main:574] : INFO : Epoch 1811 | loss: 0.0311569 | val_loss: 0.0311677 | Time: 1629.78 ms
[2022-03-03 13:36:05 main:574] : INFO : Epoch 1812 | loss: 0.0311576 | val_loss: 0.0311713 | Time: 1646.75 ms
[2022-03-03 13:36:07 main:574] : INFO : Epoch 1813 | loss: 0.0311594 | val_loss: 0.0311747 | Time: 1645.99 ms
[2022-03-03 13:36:08 main:574] : INFO : Epoch 1814 | loss: 0.0311608 | val_loss: 0.0311703 | Time: 1629.08 ms
[2022-03-03 13:36:10 main:574] : INFO : Epoch 1815 | loss: 0.0311592 | val_loss: 0.0311711 | Time: 1629.83 ms
[2022-03-03 13:36:12 main:574] : INFO : Epoch 1816 | loss: 0.0311585 | val_loss: 0.0311716 | Time: 1632.41 ms
[2022-03-03 13:36:13 main:574] : INFO : Epoch 1817 | loss: 0.0311579 | val_loss: 0.0311708 | Time: 1626.66 ms
[2022-03-03 13:36:15 main:574] : INFO : Epoch 1818 | loss: 0.0311563 | val_loss: 0.0311709 | Time: 1637.95 ms
[2022-03-03 13:36:17 main:574] : INFO : Epoch 1819 | loss: 0.0311579 | val_loss: 0.0311743 | Time: 1636.47 ms
[2022-03-03 13:36:18 main:574] : INFO : Epoch 1820 | loss: 0.0311589 | val_loss: 0.031169 | Time: 1630.82 ms
[2022-03-03 13:36:20 main:574] : INFO : Epoch 1821 | loss: 0.0311594 | val_loss: 0.0311704 | Time: 1622.87 ms
[2022-03-03 13:36:22 main:574] : INFO : Epoch 1822 | loss: 0.0311601 | val_loss: 0.0311718 | Time: 1636.39 ms
[2022-03-03 13:36:23 main:574] : INFO : Epoch 1823 | loss: 0.031158 | val_loss: 0.0311709 | Time: 1623.81 ms
[2022-03-03 13:36:25 main:574] : INFO : Epoch 1824 | loss: 0.0311555 | val_loss: 0.0311717 | Time: 1644.35 ms
[2022-03-03 13:36:26 main:574] : INFO : Epoch 1825 | loss: 0.0311572 | val_loss: 0.0311705 | Time: 1631.28 ms
[2022-03-03 13:36:28 main:574] : INFO : Epoch 1826 | loss: 0.0311558 | val_loss: 0.0311718 | Time: 1633.76 ms
[2022-03-03 13:36:30 main:574] : INFO : Epoch 1827 | loss: 0.0311565 | val_loss: 0.0311713 | Time: 1623.46 ms
[2022-03-03 13:36:31 main:574] : INFO : Epoch 1828 | loss: 0.0311564 | val_loss: 0.03117 | Time: 1630.21 ms
[2022-03-03 13:36:33 main:574] : INFO : Epoch 1829 | loss: 0.0311571 | val_loss: 0.0311708 | Time: 1620.74 ms
[2022-03-03 13:36:35 main:574] : INFO : Epoch 1830 | loss: 0.0311552 | val_loss: 0.0311726 | Time: 1637.09 ms
[2022-03-03 13:36:36 main:574] : INFO : Epoch 1831 | loss: 0.0311551 | val_loss: 0.0311715 | Time: 1640.9 ms
[2022-03-03 13:36:38 main:574] : INFO : Epoch 1832 | loss: 0.0311556 | val_loss: 0.0311721 | Time: 1633.86 ms
[2022-03-03 13:36:40 main:574] : INFO : Epoch 1833 | loss: 0.0311577 | val_loss: 0.0311726 | Time: 1621.2 ms
[2022-03-03 13:36:41 main:574] : INFO : Epoch 1834 | loss: 0.0311575 | val_loss: 0.031173 | Time: 1633.19 ms
[2022-03-03 13:36:43 main:574] : INFO : Epoch 1835 | loss: 0.0311596 | val_loss: 0.0311718 | Time: 1621.69 ms
[2022-03-03 13:36:44 main:574] : INFO : Epoch 1836 | loss: 0.0311569 | val_loss: 0.0311691 | Time: 1636.25 ms
[2022-03-03 13:36:46 main:574] : INFO : Epoch 1837 | loss: 0.031155 | val_loss: 0.0311699 | Time: 1634.57 ms
[2022-03-03 13:36:48 main:574] : INFO : Epoch 1838 | loss: 0.0311536 | val_loss: 0.0311695 | Time: 1637.08 ms
[2022-03-03 13:36:49 main:574] : INFO : Epoch 1839 | loss: 0.0311559 | val_loss: 0.0311747 | Time: 1619.37 ms
Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 970)
[2022-03-03 13:41:57 main:435] : INFO : Set logging level to 1
[2022-03-03 13:41:57 main:441] : INFO : Running in BOINC Client mode
[2022-03-03 13:41:57 main:444] : INFO : Resolving all filenames
[2022-03-03 13:41:57 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1)
[2022-03-03 13:41:57 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1)
[2022-03-03 13:41:57 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0)
[2022-03-03 13:41:57 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1)
[2022-03-03 13:41:57 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1)
[2022-03-03 13:41:57 main:472] : INFO : Dataset filename: dataset.hdf5
[2022-03-03 13:41:57 main:474] : INFO : Configuration:
[2022-03-03 13:41:57 main:475] : INFO : Model type: GRU
[2022-03-03 13:41:57 main:476] : INFO : Validation Loss Threshold: 0.0001
[2022-03-03 13:41:57 main:477] : INFO : Max Epochs: 2048
[2022-03-03 13:41:57 main:478] : INFO : Batch Size: 128
[2022-03-03 13:41:57 main:479] : INFO : Learning Rate: 0.01
[2022-03-03 13:41:57 main:480] : INFO : Patience: 10
[2022-03-03 13:41:57 main:481] : INFO : Hidden Width: 12
[2022-03-03 13:41:57 main:482] : INFO : # Recurrent Layers: 4
[2022-03-03 13:41:57 main:483] : INFO : # Backend Layers: 4
[2022-03-03 13:41:57 main:484] : INFO : # Threads: 1
[2022-03-03 13:41:57 main:486] : INFO : Preparing Dataset
[2022-03-03 13:41:57 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory
[2022-03-03 13:41:58 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory
[2022-03-03 13:41:59 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory.
[2022-03-03 13:41:59 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory
[2022-03-03 13:41:59 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory
[2022-03-03 13:41:59 load:106] : INFO : Successfully loaded dataset of 512 examples into memory.
[2022-03-03 13:41:59 main:494] : INFO : Creating Model
[2022-03-03 13:41:59 main:507] : INFO : Preparing config file
[2022-03-03 13:41:59 main:511] : INFO : Found checkpoint, attempting to load...
[2022-03-03 13:41:59 main:512] : INFO : Loading config
[2022-03-03 13:41:59 main:514] : INFO : Loading state
[2022-03-03 13:42:00 main:559] : INFO : Loading DataLoader into Memory
[2022-03-03 13:42:00 main:562] : INFO : Starting Training
[2022-03-03 13:42:01 main:574] : INFO : Epoch 1826 | loss: 0.0311863 | val_loss: 0.0311773 | Time: 1834.78 ms
[2022-03-03 13:42:03 main:574] : INFO : Epoch 1827 | loss: 0.0311633 | val_loss: 0.031168 | Time: 1620.25 ms
[2022-03-03 13:42:05 main:574] : INFO : Epoch 1828 | loss: 0.0311597 | val_loss: 0.0311672 | Time: 1625.3 ms
[2022-03-03 13:42:06 main:574] : INFO : Epoch 1829 | loss: 0.0311595 | val_loss: 0.0311679 | Time: 1634.07 ms
[2022-03-03 13:42:08 main:574] : INFO : Epoch 1830 | loss: 0.0311602 | val_loss: 0.0311665 | Time: 1636.86 ms
[2022-03-03 13:42:10 main:574] : INFO : Epoch 1831 | loss: 0.031161 | val_loss: 0.0311678 | Time: 1623.58 ms
[2022-03-03 13:42:11 main:574] : INFO : Epoch 1832 | loss: 0.0311583 | val_loss: 0.0311698 | Time: 1619.03 ms
[2022-03-03 13:42:13 main:574] : INFO : Epoch 1833 | loss: 0.0311587 | val_loss: 0.0311672 | Time: 1631.47 ms
[2022-03-03 13:42:14 main:574] : INFO : Epoch 1834 | loss: 0.0311578 | val_loss: 0.0311666 | Time: 1630.79 ms
[2022-03-03 13:42:16 main:574] : INFO : Epoch 1835 | loss: 0.0311572 | val_loss: 0.0311686 | Time: 1636.6 ms
[2022-03-03 13:42:18 main:574] : INFO : Epoch 1836 | loss: 0.0311579 | val_loss: 0.0311701 | Time: 1630.75 ms
[2022-03-03 13:42:19 main:574] : INFO : Epoch 1837 | loss: 0.0311577 | val_loss: 0.0311668 | Time: 1625.69 ms
[2022-03-03 13:42:21 main:574] : INFO : Epoch 1838 | loss: 0.0311561 | val_loss: 0.0311672 | Time: 1628.75 ms
[2022-03-03 13:42:23 main:574] : INFO : Epoch 1839 | loss: 0.0311545 | val_loss: 0.0311663 | Time: 1633.8 ms
[2022-03-03 13:42:24 main:574] : INFO : Epoch 1840 | loss: 0.031155 | val_loss: 0.031168 | Time: 1626.74 ms
[2022-03-03 13:42:26 main:574] : INFO : Epoch 1841 | loss: 0.0311544 | val_loss: 0.0311664 | Time: 1639.89 ms
[2022-03-03 13:42:28 main:574] : INFO : Epoch 1842 | loss: 0.0311572 | val_loss: 0.0311699 | Time: 1637.11 ms
[2022-03-03 13:42:29 main:574] : INFO : Epoch 1843 | loss: 0.0311542 | val_loss: 0.0311671 | Time: 1633.22 ms
[2022-03-03 13:42:31 main:574] : INFO : Epoch 1844 | loss: 0.0311554 | val_loss: 0.0311693 | Time: 1638.25 ms
[2022-03-03 13:42:32 main:574] : INFO : Epoch 1845 | loss: 0.0311557 | val_loss: 0.0311678 | Time: 1627.64 ms
[2022-03-03 13:42:34 main:574] : INFO : Epoch 1846 | loss: 0.0311545 | val_loss: 0.0311701 | Time: 1633.41 ms
[2022-03-03 13:42:36 main:574] : INFO : Epoch 1847 | loss: 0.0311565 | val_loss: 0.0311714 | Time: 1635.25 ms
[2022-03-03 13:42:37 main:574] : INFO : Epoch 1848 | loss: 0.0311581 | val_loss: 0.0311683 | Time: 1644.54 ms
[2022-03-03 13:42:39 main:574] : INFO : Epoch 1849 | loss: 0.0311575 | val_loss: 0.0311665 | Time: 1632.27 ms
[2022-03-03 13:42:41 main:574] : INFO : Epoch 1850 | loss: 0.0311584 | val_loss: 0.0311696 | Time: 1631.12 ms
[2022-03-03 13:42:42 main:574] : INFO : Epoch 1851 | loss: 0.0311551 | val_loss: 0.0311688 | Time: 1632.36 ms
Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 970)
[2022-03-03 13:43:39 main:435] : INFO : Set logging level to 1
[2022-03-03 13:43:39 main:441] : INFO : Running in BOINC Client mode
[2022-03-03 13:43:39 main:444] : INFO : Resolving all filenames
[2022-03-03 13:43:39 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1)
[2022-03-03 13:43:39 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1)
[2022-03-03 13:43:39 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0)
[2022-03-03 13:43:39 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1)
[2022-03-03 13:43:39 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1)
[2022-03-03 13:43:39 main:472] : INFO : Dataset filename: dataset.hdf5
[2022-03-03 13:43:39 main:474] : INFO : Configuration:
[2022-03-03 13:43:39 main:475] : INFO : Model type: GRU
[2022-03-03 13:43:39 main:476] : INFO : Validation Loss Threshold: 0.0001
[2022-03-03 13:43:39 main:477] : INFO : Max Epochs: 2048
[2022-03-03 13:43:39 main:478] : INFO : Batch Size: 128
[2022-03-03 13:43:39 main:479] : INFO : Learning Rate: 0.01
[2022-03-03 13:43:39 main:480] : INFO : Patience: 10
[2022-03-03 13:43:39 main:481] : INFO : Hidden Width: 12
[2022-03-03 13:43:39 main:482] : INFO : # Recurrent Layers: 4
[2022-03-03 13:43:39 main:483] : INFO : # Backend Layers: 4
[2022-03-03 13:43:39 main:484] : INFO : # Threads: 1
[2022-03-03 13:43:39 main:486] : INFO : Preparing Dataset
[2022-03-03 13:43:39 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory
[2022-03-03 13:43:39 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory
[2022-03-03 13:43:41 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory.
[2022-03-03 13:43:41 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory
[2022-03-03 13:43:41 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory
[2022-03-03 13:43:41 load:106] : INFO : Successfully loaded dataset of 512 examples into memory.
[2022-03-03 13:43:41 main:494] : INFO : Creating Model
[2022-03-03 13:43:41 main:507] : INFO : Preparing config file
[2022-03-03 13:43:41 main:511] : INFO : Found checkpoint, attempting to load...
[2022-03-03 13:43:41 main:512] : INFO : Loading config
[2022-03-03 13:43:41 main:514] : INFO : Loading state
[2022-03-03 13:43:41 main:559] : INFO : Loading DataLoader into Memory
[2022-03-03 13:43:41 main:562] : INFO : Starting Training
[2022-03-03 13:43:43 main:574] : INFO : Epoch 1826 | loss: 0.0311881 | val_loss: 0.0311722 | Time: 1826.89 ms
[2022-03-03 13:43:45 main:574] : INFO : Epoch 1827 | loss: 0.0311641 | val_loss: 0.031171 | Time: 1621.12 ms
[2022-03-03 13:43:46 main:574] : INFO : Epoch 1828 | loss: 0.0311629 | val_loss: 0.0311671 | Time: 1628.36 ms
[2022-03-03 13:43:48 main:574] : INFO : Epoch 1829 | loss: 0.0311632 | val_loss: 0.0311674 | Time: 1630.26 ms
[2022-03-03 13:43:50 main:574] : INFO : Epoch 1830 | loss: 0.0311579 | val_loss: 0.0311665 | Time: 1617.8 ms
[2022-03-03 13:43:51 main:574] : INFO : Epoch 1831 | loss: 0.0311579 | val_loss: 0.0311694 | Time: 1632.13 ms
[2022-03-03 13:43:53 main:574] : INFO : Epoch 1832 | loss: 0.0311576 | val_loss: 0.0311676 | Time: 1623.81 ms
[2022-03-03 13:43:55 main:574] : INFO : Epoch 1833 | loss: 0.0311575 | val_loss: 0.0311676 | Time: 1628.13 ms
[2022-03-03 13:43:56 main:574] : INFO : Epoch 1834 | loss: 0.0311574 | val_loss: 0.0311686 | Time: 1632.69 ms
[2022-03-03 13:43:58 main:574] : INFO : Epoch 1835 | loss: 0.0311598 | val_loss: 0.031168 | Time: 1633.21 ms
[2022-03-03 13:44:00 main:574] : INFO : Epoch 1836 | loss: 0.0311619 | val_loss: 0.031168 | Time: 1625.4 ms
[2022-03-03 13:44:01 main:574] : INFO : Epoch 1837 | loss: 0.0311642 | val_loss: 0.0311723 | Time: 1630.44 ms
[2022-03-03 13:44:03 main:574] : INFO : Epoch 1838 | loss: 0.0311631 | val_loss: 0.0311701 | Time: 1623.35 ms
[2022-03-03 13:44:04 main:574] : INFO : Epoch 1839 | loss: 0.0311638 | val_loss: 0.0311729 | Time: 1631.58 ms
[2022-03-03 13:44:06 main:574] : INFO : Epoch 1840 | loss: 0.0311697 | val_loss: 0.03117 | Time: 1638.46 ms
[2022-03-03 13:44:08 main:574] : INFO : Epoch 1841 | loss: 0.0311694 | val_loss: 0.0311738 | Time: 1641.48 ms
[2022-03-03 13:44:09 main:574] : INFO : Epoch 1842 | loss: 0.0311709 | val_loss: 0.0311743 | Time: 1631.47 ms
[2022-03-03 13:44:11 main:574] : INFO : Epoch 1843 | loss: 0.0311722 | val_loss: 0.0311747 | Time: 1638.04 ms
[2022-03-03 13:44:13 main:574] : INFO : Epoch 1844 | loss: 0.0311734 | val_loss: 0.0311773 | Time: 1625.21 ms
[2022-03-03 13:44:14 main:574] : INFO : Epoch 1845 | loss: 0.0311738 | val_loss: 0.0311763 | Time: 1633.92 ms
[2022-03-03 13:44:16 main:574] : INFO : Epoch 1846 | loss: 0.0311728 | val_loss: 0.0311812 | Time: 1635.69 ms
[2022-03-03 13:44:18 main:574] : INFO : Epoch 1847 | loss: 0.0311737 | val_loss: 0.031177 | Time: 1641.01 ms
[2022-03-03 13:44:19 main:574] : INFO : Epoch 1848 | loss: 0.0311757 | val_loss: 0.031181 | Time: 1627.72 ms
[2022-03-03 13:44:21 main:574] : INFO : Epoch 1849 | loss: 0.0311757 | val_loss: 0.0311788 | Time: 1634.41 ms
[2022-03-03 13:44:22 main:574] : INFO : Epoch 1850 | loss: 0.0311747 | val_loss: 0.0311798 | Time: 1632.85 ms
[2022-03-03 13:44:24 main:574] : INFO : Epoch 1851 | loss: 0.0311749 | val_loss: 0.0311784 | Time: 1638.02 ms
[2022-03-03 13:44:26 main:574] : INFO : Epoch 1852 | loss: 0.0311733 | val_loss: 0.0311785 | Time: 1639.5 ms
[2022-03-03 13:44:27 main:574] : INFO : Epoch 1853 | loss: 0.0311737 | val_loss: 0.031179 | Time: 1646.54 ms
[2022-03-03 13:44:29 main:574] : INFO : Epoch 1854 | loss: 0.0311737 | val_loss: 0.0311823 | Time: 1631.7 ms
[2022-03-03 13:44:31 main:574] : INFO : Epoch 1855 | loss: 0.031176 | val_loss: 0.0311883 | Time: 1639.35 ms
[2022-03-03 13:44:32 main:574] : INFO : Epoch 1856 | loss: 0.0311773 | val_loss: 0.0311779 | Time: 1632.17 ms
[2022-03-03 13:44:34 main:574] : INFO : Epoch 1857 | loss: 0.0311735 | val_loss: 0.0311774 | Time: 1638.64 ms
[2022-03-03 13:44:36 main:574] : INFO : Epoch 1858 | loss: 0.0311717 | val_loss: 0.0311803 | Time: 1634.76 ms
[2022-03-03 13:44:37 main:574] : INFO : Epoch 1859 | loss: 0.0311715 | val_loss: 0.0311767 | Time: 1646.17 ms
[2022-03-03 13:44:39 main:574] : INFO : Epoch 1860 | loss: 0.0311727 | val_loss: 0.0311798 | Time: 1631.6 ms
[2022-03-03 13:44:41 main:574] : INFO : Epoch 1861 | loss: 0.0311724 | val_loss: 0.0311782 | Time: 1640.05 ms
[2022-03-03 13:44:42 main:574] : INFO : Epoch 1862 | loss: 0.031172 | val_loss: 0.0311774 | Time: 1631.98 ms
[2022-03-03 13:44:44 main:574] : INFO : Epoch 1863 | loss: 0.0311702 | val_loss: 0.0311804 | Time: 1637.39 ms
[2022-03-03 13:44:45 main:574] : INFO : Epoch 1864 | loss: 0.0311702 | val_loss: 0.0311776 | Time: 1637.26 ms
[2022-03-03 13:44:47 main:574] : INFO : Epoch 1865 | loss: 0.0311698 | val_loss: 0.0311783 | Time: 1644.98 ms
[2022-03-03 13:44:49 main:574] : INFO : Epoch 1866 | loss: 0.0311719 | val_loss: 0.0311846 | Time: 1630.81 ms
[2022-03-03 13:44:50 main:574] : INFO : Epoch 1867 | loss: 0.0311692 | val_loss: 0.0311786 | Time: 1643.55 ms
[2022-03-03 13:44:52 main:574] : INFO : Epoch 1868 | loss: 0.0311687 | val_loss: 0.0311784 | Time: 1632.57 ms
[2022-03-03 13:44:54 main:574] : INFO : Epoch 1869 | loss: 0.0311683 | val_loss: 0.0311768 | Time: 1628.74 ms
[2022-03-03 13:44:55 main:574] : INFO : Epoch 1870 | loss: 0.0311683 | val_loss: 0.0311764 | Time: 1637.02 ms
[2022-03-03 13:44:57 main:574] : INFO : Epoch 1871 | loss: 0.0311683 | val_loss: 0.0311782 | Time: 1636.41 ms
[2022-03-03 13:44:59 main:574] : INFO : Epoch 1872 | loss: 0.0311672 | val_loss: 0.031176 | Time: 1633.29 ms
[2022-03-03 13:45:00 main:574] : INFO : Epoch 1873 | loss: 0.0311667 | val_loss: 0.0311781 | Time: 1635.79 ms
[2022-03-03 13:45:02 main:574] : INFO : Epoch 1874 | loss: 0.0311667 | val_loss: 0.0311765 | Time: 1628.93 ms
[2022-03-03 13:45:04 main:574] : INFO : Epoch 1875 | loss: 0.0311665 | val_loss: 0.0311767 | Time: 1632.81 ms
[2022-03-03 13:45:05 main:574] : INFO : Epoch 1876 | loss: 0.0311667 | val_loss: 0.0311767 | Time: 1632.89 ms
[2022-03-03 13:45:07 main:574] : INFO : Epoch 1877 | loss: 0.031167 | val_loss: 0.031176 | Time: 1647.09 ms
[2022-03-03 13:45:08 main:574] : INFO : Epoch 1878 | loss: 0.0311697 | val_loss: 0.031179 | Time: 1630.67 ms
[2022-03-03 13:45:10 main:574] : INFO : Epoch 1879 | loss: 0.0311679 | val_loss: 0.0311765 | Time: 1639.48 ms
[2022-03-03 13:45:12 main:574] : INFO : Epoch 1880 | loss: 0.0311658 | val_loss: 0.0311762 | Time: 1633.78 ms
[2022-03-03 13:45:13 main:574] : INFO : Epoch 1881 | loss: 0.0311673 | val_loss: 0.0311847 | Time: 1638.28 ms
[2022-03-03 13:45:15 main:574] : INFO : Epoch 1882 | loss: 0.0311687 | val_loss: 0.0311766 | Time: 1629.27 ms
[2022-03-03 13:45:17 main:574] : INFO : Epoch 1883 | loss: 0.0311686 | val_loss: 0.031175 | Time: 1650.98 ms
[2022-03-03 13:45:18 main:574] : INFO : Epoch 1884 | loss: 0.0311694 | val_loss: 0.0311744 | Time: 1636.75 ms
[2022-03-03 13:45:20 main:574] : INFO : Epoch 1885 | loss: 0.0311694 | val_loss: 0.0311771 | Time: 1627.79 ms
[2022-03-03 13:45:22 main:574] : INFO : Epoch 1886 | loss: 0.0311689 | val_loss: 0.0311749 | Time: 1636.64 ms
[2022-03-03 13:45:23 main:574] : INFO : Epoch 1887 | loss: 0.0311722 | val_loss: 0.0311804 | Time: 1639.12 ms
[2022-03-03 13:45:25 main:574] : INFO : Epoch 1888 | loss: 0.0311714 | val_loss: 0.0311787 | Time: 1627.19 ms
[2022-03-03 13:45:27 main:574] : INFO : Epoch 1889 | loss: 0.0311711 | val_loss: 0.0311777 | Time: 1646.77 ms
[2022-03-03 13:45:28 main:574] : INFO : Epoch 1890 | loss: 0.0311699 | val_loss: 0.0311739 | Time: 1643.06 ms
[2022-03-03 13:45:30 main:574] : INFO : Epoch 1891 | loss: 0.0311712 | val_loss: 0.0311778 | Time: 1627.97 ms
[2022-03-03 13:45:31 main:574] : INFO : Epoch 1892 | loss: 0.0311768 | val_loss: 0.0311777 | Time: 1634.52 ms
[2022-03-03 13:45:33 main:574] : INFO : Epoch 1893 | loss: 0.0311772 | val_loss: 0.0311781 | Time: 1631.31 ms
[2022-03-03 13:45:35 main:574] : INFO : Epoch 1894 | loss: 0.031175 | val_loss: 0.0311807 | Time: 1633.21 ms
[2022-03-03 13:45:36 main:574] : INFO : Epoch 1895 | loss: 0.0311743 | val_loss: 0.0311764 | Time: 1641.22 ms
[2022-03-03 13:45:38 main:574] : INFO : Epoch 1896 | loss: 0.031174 | val_loss: 0.0311761 | Time: 1641.91 ms
[2022-03-03 13:45:40 main:574] : INFO : Epoch 1897 | loss: 0.0311741 | val_loss: 0.031182 | Time: 1630.89 ms
[2022-03-03 13:45:41 main:574] : INFO : Epoch 1898 | loss: 0.0311747 | val_loss: 0.0311751 | Time: 1638.26 ms
[2022-03-03 13:45:43 main:574] : INFO : Epoch 1899 | loss: 0.0311738 | val_loss: 0.0311804 | Time: 1623.37 ms
[2022-03-03 13:45:45 main:574] : INFO : Epoch 1900 | loss: 0.0311725 | val_loss: 0.0311775 | Time: 1640.09 ms
[2022-03-03 13:45:46 main:574] : INFO : Epoch 1901 | loss: 0.0311721 | val_loss: 0.0311779 | Time: 1631.59 ms
[2022-03-03 13:45:48 main:574] : INFO : Epoch 1902 | loss: 0.0311724 | val_loss: 0.0311747 | Time: 1641.79 ms
[2022-03-03 13:45:50 main:574] : INFO : Epoch 1903 | loss: 0.0311721 | val_loss: 0.0311832 | Time: 1627.51 ms
[2022-03-03 13:45:51 main:574] : INFO : Epoch 1904 | loss: 0.0311713 | val_loss: 0.031175 | Time: 1643.5 ms
[2022-03-03 13:45:53 main:574] : INFO : Epoch 1905 | loss: 0.031169 | val_loss: 0.0311741 | Time: 1634.97 ms
[2022-03-03 13:45:54 main:574] : INFO : Epoch 1906 | loss: 0.0311686 | val_loss: 0.0311737 | Time: 1647.9 ms
[2022-03-03 13:45:56 main:574] : INFO : Epoch 1907 | loss: 0.0311695 | val_loss: 0.0311745 | Time: 1639.55 ms
[2022-03-03 13:45:58 main:574] : INFO : Epoch 1908 | loss: 0.0311691 | val_loss: 0.0311745 | Time: 1644.1 ms
[2022-03-03 13:45:59 main:574] : INFO : Epoch 1909 | loss: 0.0311683 | val_loss: 0.0311746 | Time: 1626.96 ms
[2022-03-03 13:46:01 main:574] : INFO : Epoch 1910 | loss: 0.0311687 | val_loss: 0.0311756 | Time: 1637.03 ms
[2022-03-03 13:46:03 main:574] : INFO : Epoch 1911 | loss: 0.0311683 | val_loss: 0.0311748 | Time: 1632.47 ms
[2022-03-03 13:46:04 main:574] : INFO : Epoch 1912 | loss: 0.0311677 | val_loss: 0.0311759 | Time: 1634.77 ms
[2022-03-03 13:46:06 main:574] : INFO : Epoch 1913 | loss: 0.031169 | val_loss: 0.0311756 | Time: 1637.15 ms
[2022-03-03 13:46:08 main:574] : INFO : Epoch 1914 | loss: 0.0311709 | val_loss: 0.0311746 | Time: 1644.3 ms
[2022-03-03 13:46:09 main:574] : INFO : Epoch 1915 | loss: 0.0311683 | val_loss: 0.031173 | Time: 1629.33 ms
[2022-03-03 13:46:11 main:574] : INFO : Epoch 1916 | loss: 0.0311675 | val_loss: 0.0311757 | Time: 1644.41 ms
[2022-03-03 13:46:13 main:574] : INFO : Epoch 1917 | loss: 0.0311693 | val_loss: 0.0311754 | Time: 1630.01 ms
[2022-03-03 13:46:14 main:574] : INFO : Epoch 1918 | loss: 0.0311682 | val_loss: 0.0311754 | Time: 1637.03 ms
[2022-03-03 13:46:16 main:574] : INFO : Epoch 1919 | loss: 0.0311672 | val_loss: 0.0311756 | Time: 1638.95 ms
[2022-03-03 13:46:17 main:574] : INFO : Epoch 1920 | loss: 0.0311675 | val_loss: 0.0311753 | Time: 1651.04 ms
[2022-03-03 13:46:19 main:574] : INFO : Epoch 1921 | loss: 0.0311664 | val_loss: 0.0311723 | Time: 1628.15 ms
[2022-03-03 13:46:21 main:574] : INFO : Epoch 1922 | loss: 0.031167 | val_loss: 0.0311748 | Time: 1637.67 ms
[2022-03-03 13:46:22 main:574] : INFO : Epoch 1923 | loss: 0.0311682 | val_loss: 0.0311751 | Time: 1631.69 ms
[2022-03-03 13:46:24 main:574] : INFO : Epoch 1924 | loss: 0.0311681 | val_loss: 0.0311742 | Time: 1638.6 ms
[2022-03-03 13:46:26 main:574] : INFO : Epoch 1925 | loss: 0.0311672 | val_loss: 0.031174 | Time: 1638.84 ms
[2022-03-03 13:46:27 main:574] : INFO : Epoch 1926 | loss: 0.0311683 | val_loss: 0.0311755 | Time: 1643.4 ms
[2022-03-03 13:46:29 main:574] : INFO : Epoch 1927 | loss: 0.0311668 | val_loss: 0.0311721 | Time: 1635.08 ms
[2022-03-03 13:46:31 main:574] : INFO : Epoch 1928 | loss: 0.0311668 | val_loss: 0.0311742 | Time: 1635.28 ms
[2022-03-03 13:46:32 main:574] : INFO : Epoch 1929 | loss: 0.0311664 | val_loss: 0.0311724 | Time: 1630.65 ms
[2022-03-03 13:46:34 main:574] : INFO : Epoch 1930 | loss: 0.0311671 | val_loss: 0.031173 | Time: 1629.85 ms
[2022-03-03 13:46:36 main:574] : INFO : Epoch 1931 | loss: 0.0311677 | val_loss: 0.0311709 | Time: 1642.06 ms
[2022-03-03 13:46:37 main:574] : INFO : Epoch 1932 | loss: 0.0311676 | val_loss: 0.0311713 | Time: 1635.67 ms
[2022-03-03 13:46:39 main:574] : INFO : Epoch 1933 | loss: 0.0311675 | val_loss: 0.0311723 | Time: 1634.97 ms
[2022-03-03 13:46:40 main:574] : INFO : Epoch 1934 | loss: 0.0311681 | val_loss: 0.0311734 | Time: 1634.05 ms
[2022-03-03 13:46:42 main:574] : INFO : Epoch 1935 | loss: 0.0311682 | val_loss: 0.0311732 | Time: 1632.96 ms
[2022-03-03 13:46:44 main:574] : INFO : Epoch 1936 | loss: 0.0311684 | val_loss: 0.0311733 | Time: 1634.43 ms
[2022-03-03 13:46:45 main:574] : INFO : Epoch 1937 | loss: 0.0311686 | val_loss: 0.0311729 | Time: 1639.47 ms
[2022-03-03 13:46:47 main:574] : INFO : Epoch 1938 | loss: 0.0311691 | val_loss: 0.0311732 | Time: 1638.66 ms
[2022-03-03 13:46:49 main:574] : INFO : Epoch 1939 | loss: 0.0311687 | val_loss: 0.0311736 | Time: 1637.54 ms
[2022-03-03 13:46:50 main:574] : INFO : Epoch 1940 | loss: 0.0311699 | val_loss: 0.031178 | Time: 1627.42 ms
[2022-03-03 13:46:52 main:574] : INFO : Epoch 1941 | loss: 0.0311714 | val_loss: 0.031179 | Time: 1636.29 ms
[2022-03-03 13:46:54 main:574] : INFO : Epoch 1942 | loss: 0.0311695 | val_loss: 0.0311734 | Time: 1629.42 ms
[2022-03-03 13:46:55 main:574] : INFO : Epoch 1943 | loss: 0.0311678 | val_loss: 0.0311729 | Time: 1634.11 ms
[2022-03-03 13:46:57 main:574] : INFO : Epoch 1944 | loss: 0.0311669 | val_loss: 0.0311729 | Time: 1643.66 ms
[2022-03-03 13:46:59 main:574] : INFO : Epoch 1945 | loss: 0.031168 | val_loss: 0.0311756 | Time: 1635.08 ms
[2022-03-03 13:47:00 main:574] : INFO : Epoch 1946 | loss: 0.0311699 | val_loss: 0.0311755 | Time: 1631.31 ms
[2022-03-03 13:47:02 main:574] : INFO : Epoch 1947 | loss: 0.0311724 | val_loss: 0.0311759 | Time: 1640.2 ms
[2022-03-03 13:47:03 main:574] : INFO : Epoch 1948 | loss: 0.0311716 | val_loss: 0.0311752 | Time: 1626.47 ms
[2022-03-03 13:47:05 main:574] : INFO : Epoch 1949 | loss: 0.0311704 | val_loss: 0.0311834 | Time: 1639.72 ms
Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 970)
[2022-03-03 13:54:24 main:435] : INFO : Set logging level to 1
[2022-03-03 13:54:24 main:441] : INFO : Running in BOINC Client mode
[2022-03-03 13:54:24 main:444] : INFO : Resolving all filenames
[2022-03-03 13:54:24 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1)
[2022-03-03 13:54:24 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1)
[2022-03-03 13:54:24 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0)
[2022-03-03 13:54:24 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1)
[2022-03-03 13:54:24 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1)
[2022-03-03 13:54:24 main:472] : INFO : Dataset filename: dataset.hdf5
[2022-03-03 13:54:24 main:474] : INFO : Configuration:
[2022-03-03 13:54:24 main:475] : INFO : Model type: GRU
[2022-03-03 13:54:24 main:476] : INFO : Validation Loss Threshold: 0.0001
[2022-03-03 13:54:24 main:477] : INFO : Max Epochs: 2048
[2022-03-03 13:54:24 main:478] : INFO : Batch Size: 128
[2022-03-03 13:54:24 main:479] : INFO : Learning Rate: 0.01
[2022-03-03 13:54:24 main:480] : INFO : Patience: 10
[2022-03-03 13:54:24 main:481] : INFO : Hidden Width: 12
[2022-03-03 13:54:24 main:482] : INFO : # Recurrent Layers: 4
[2022-03-03 13:54:24 main:483] : INFO : # Backend Layers: 4
[2022-03-03 13:54:24 main:484] : INFO : # Threads: 1
[2022-03-03 13:54:24 main:486] : INFO : Preparing Dataset
[2022-03-03 13:54:24 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory
[2022-03-03 13:54:24 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory
[2022-03-03 13:54:26 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory.
[2022-03-03 13:54:26 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory
[2022-03-03 13:54:26 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory
[2022-03-03 13:54:26 load:106] : INFO : Successfully loaded dataset of 512 examples into memory.
[2022-03-03 13:54:26 main:494] : INFO : Creating Model
[2022-03-03 13:54:26 main:507] : INFO : Preparing config file
[2022-03-03 13:54:26 main:511] : INFO : Found checkpoint, attempting to load...
[2022-03-03 13:54:26 main:512] : INFO : Loading config
[2022-03-03 13:54:26 main:514] : INFO : Loading state
[2022-03-03 13:54:26 main:559] : INFO : Loading DataLoader into Memory
[2022-03-03 13:54:26 main:562] : INFO : Starting Training
[2022-03-03 13:54:28 main:574] : INFO : Epoch 1945 | loss: 0.0311948 | val_loss: 0.0311765 | Time: 1823.19 ms
[2022-03-03 13:54:30 main:574] : INFO : Epoch 1946 | loss: 0.0311701 | val_loss: 0.0311761 | Time: 1616.23 ms
[2022-03-03 13:54:31 main:574] : INFO : Epoch 1947 | loss: 0.0311696 | val_loss: 0.0311722 | Time: 1617.05 ms
[2022-03-03 13:54:33 main:574] : INFO : Epoch 1948 | loss: 0.0311688 | val_loss: 0.0311728 | Time: 1620.9 ms
[2022-03-03 13:54:35 main:574] : INFO : Epoch 1949 | loss: 0.0311682 | val_loss: 0.0311719 | Time: 1631.15 ms
[2022-03-03 13:54:36 main:574] : INFO : Epoch 1950 | loss: 0.0311706 | val_loss: 0.0311731 | Time: 1632.91 ms
[2022-03-03 13:54:38 main:574] : INFO : Epoch 1951 | loss: 0.0311699 | val_loss: 0.0311713 | Time: 1636.88 ms
[2022-03-03 13:54:40 main:574] : INFO : Epoch 1952 | loss: 0.0311672 | val_loss: 0.031174 | Time: 1627.06 ms
[2022-03-03 13:54:41 main:574] : INFO : Epoch 1953 | loss: 0.031167 | val_loss: 0.0311709 | Time: 1634.79 ms
[2022-03-03 13:54:43 main:574] : INFO : Epoch 1954 | loss: 0.0311678 | val_loss: 0.0311721 | Time: 1628.05 ms
[2022-03-03 13:54:44 main:574] : INFO : Epoch 1955 | loss: 0.0311657 | val_loss: 0.0311704 | Time: 1623.81 ms
[2022-03-03 13:54:46 main:574] : INFO : Epoch 1956 | loss: 0.0311655 | val_loss: 0.0311726 | Time: 1634.43 ms
[2022-03-03 13:54:48 main:574] : INFO : Epoch 1957 | loss: 0.0311645 | val_loss: 0.0311697 | Time: 1643.09 ms
[2022-03-03 13:54:49 main:574] : INFO : Epoch 1958 | loss: 0.0311644 | val_loss: 0.0311716 | Time: 1627.24 ms
[2022-03-03 13:54:51 main:574] : INFO : Epoch 1959 | loss: 0.0311642 | val_loss: 0.03117 | Time: 1627.25 ms
[2022-03-03 13:54:53 main:574] : INFO : Epoch 1960 | loss: 0.0311638 | val_loss: 0.0311737 | Time: 1628.99 ms
[2022-03-03 13:54:54 main:574] : INFO : Epoch 1961 | loss: 0.0311648 | val_loss: 0.0311742 | Time: 1631.78 ms
[2022-03-03 13:54:56 main:574] : INFO : Epoch 1962 | loss: 0.0311651 | val_loss: 0.0311727 | Time: 1640.77 ms
[2022-03-03 13:54:58 main:574] : INFO : Epoch 1963 | loss: 0.0311645 | val_loss: 0.0311739 | Time: 1638.03 ms
[2022-03-03 13:54:59 main:574] : INFO : Epoch 1964 | loss: 0.0311636 | val_loss: 0.0311718 | Time: 1622.72 ms
[2022-03-03 13:55:01 main:574] : INFO : Epoch 1965 | loss: 0.0311622 | val_loss: 0.0311751 | Time: 1634.25 ms
[2022-03-03 13:55:02 main:574] : INFO : Epoch 1966 | loss: 0.0311635 | val_loss: 0.0311737 | Time: 1627.68 ms
[2022-03-03 13:55:04 main:574] : INFO : Epoch 1967 | loss: 0.0311624 | val_loss: 0.0311717 | Time: 1625.49 ms
[2022-03-03 13:55:06 main:574] : INFO : Epoch 1968 | loss: 0.0311626 | val_loss: 0.0311727 | Time: 1641.5 ms
[2022-03-03 13:55:07 main:574] : INFO : Epoch 1969 | loss: 0.031163 | val_loss: 0.0311722 | Time: 1645.84 ms
[2022-03-03 13:55:09 main:574] : INFO : Epoch 1970 | loss: 0.0311638 | val_loss: 0.0311732 | Time: 1629.96 ms
[2022-03-03 13:55:11 main:574] : INFO : Epoch 1971 | loss: 0.0311639 | val_loss: 0.0311766 | Time: 1630.16 ms
[2022-03-03 13:55:12 main:574] : INFO : Epoch 1972 | loss: 0.0311635 | val_loss: 0.0311714 | Time: 1632.76 ms
[2022-03-03 13:55:14 main:574] : INFO : Epoch 1973 | loss: 0.0311631 | val_loss: 0.0311697 | Time: 1631.01 ms
[2022-03-03 13:55:16 main:574] : INFO : Epoch 1974 | loss: 0.031163 | val_loss: 0.03117 | Time: 1625.42 ms
[2022-03-03 13:55:17 main:574] : INFO : Epoch 1975 | loss: 0.0311625 | val_loss: 0.0311703 | Time: 1641.63 ms
[2022-03-03 13:55:19 main:574] : INFO : Epoch 1976 | loss: 0.0311624 | val_loss: 0.0311727 | Time: 1631.79 ms
[2022-03-03 13:55:21 main:574] : INFO : Epoch 1977 | loss: 0.0311626 | val_loss: 0.0311706 | Time: 1631.23 ms
[2022-03-03 13:55:22 main:574] : INFO : Epoch 1978 | loss: 0.0311629 | val_loss: 0.0311704 | Time: 1627.87 ms
[2022-03-03 13:55:24 main:574] : INFO : Epoch 1979 | loss: 0.0311636 | val_loss: 0.0311728 | Time: 1635.63 ms
[2022-03-03 13:55:25 main:574] : INFO : Epoch 1980 | loss: 0.0311643 | val_loss: 0.0311724 | Time: 1635.11 ms
[2022-03-03 13:55:27 main:574] : INFO : Epoch 1981 | loss: 0.0311648 | val_loss: 0.0311682 | Time: 1643.79 ms
[2022-03-03 13:55:29 main:574] : INFO : Epoch 1982 | loss: 0.0311614 | val_loss: 0.0311689 | Time: 1631.22 ms
[2022-03-03 13:55:30 main:574] : INFO : Epoch 1983 | loss: 0.0311616 | val_loss: 0.0311694 | Time: 1633.32 ms
[2022-03-03 13:55:32 main:574] : INFO : Epoch 1984 | loss: 0.0311659 | val_loss: 0.0311753 | Time: 1619.19 ms
[2022-03-03 13:55:34 main:574] : INFO : Epoch 1985 | loss: 0.0311643 | val_loss: 0.0311712 | Time: 1625.55 ms
[2022-03-03 13:55:35 main:574] : INFO : Epoch 1986 | loss: 0.0311634 | val_loss: 0.0311737 | Time: 1625.44 ms
[2022-03-03 13:55:37 main:574] : INFO : Epoch 1987 | loss: 0.031164 | val_loss: 0.0311727 | Time: 1634.87 ms
[2022-03-03 13:55:39 main:574] : INFO : Epoch 1988 | loss: 0.0311636 | val_loss: 0.0311764 | Time: 1637.57 ms
[2022-03-03 13:55:40 main:574] : INFO : Epoch 1989 | loss: 0.0311638 | val_loss: 0.0311744 | Time: 1626.25 ms
[2022-03-03 13:55:42 main:574] : INFO : Epoch 1990 | loss: 0.031168 | val_loss: 0.0311745 | Time: 1624.63 ms
[2022-03-03 13:55:43 main:574] : INFO : Epoch 1991 | loss: 0.0311676 | val_loss: 0.0311814 | Time: 1630.21 ms
[2022-03-03 13:55:45 main:574] : INFO : Epoch 1992 | loss: 0.031169 | val_loss: 0.0311762 | Time: 1622.32 ms
[2022-03-03 13:55:47 main:574] : INFO : Epoch 1993 | loss: 0.0311676 | val_loss: 0.0311723 | Time: 1637.32 ms
[2022-03-03 13:55:48 main:574] : INFO : Epoch 1994 | loss: 0.0311666 | val_loss: 0.0311734 | Time: 1631.38 ms
[2022-03-03 13:55:50 main:574] : INFO : Epoch 1995 | loss: 0.0311661 | val_loss: 0.0311748 | Time: 1626.08 ms
[2022-03-03 13:55:52 main:574] : INFO : Epoch 1996 | loss: 0.0311654 | val_loss: 0.0311741 | Time: 1631.31 ms
[2022-03-03 13:55:53 main:574] : INFO : Epoch 1997 | loss: 0.0311664 | val_loss: 0.0311721 | Time: 1627.43 ms
[2022-03-03 13:55:55 main:574] : INFO : Epoch 1998 | loss: 0.0311661 | val_loss: 0.0311722 | Time: 1627.85 ms
[2022-03-03 13:55:56 main:574] : INFO : Epoch 1999 | loss: 0.0311657 | val_loss: 0.0311733 | Time: 1634.19 ms
[2022-03-03 13:55:58 main:574] : INFO : Epoch 2000 | loss: 0.0311703 | val_loss: 0.031179 | Time: 1628.75 ms
[2022-03-03 13:56:00 main:574] : INFO : Epoch 2001 | loss: 0.0311742 | val_loss: 0.0311766 | Time: 1625.21 ms
[2022-03-03 13:56:01 main:574] : INFO : Epoch 2002 | loss: 0.0311708 | val_loss: 0.0311765 | Time: 1628.35 ms
[2022-03-03 13:56:03 main:574] : INFO : Epoch 2003 | loss: 0.0311681 | val_loss: 0.0311736 | Time: 1627.08 ms
[2022-03-03 13:56:05 main:574] : INFO : Epoch 2004 | loss: 0.0311662 | val_loss: 0.031174 | Time: 1637.92 ms
[2022-03-03 13:56:06 main:574] : INFO : Epoch 2005 | loss: 0.0311655 | val_loss: 0.0311739 | Time: 1651.37 ms
[2022-03-03 13:56:08 main:574] : INFO : Epoch 2006 | loss: 0.0311652 | val_loss: 0.0311753 | Time: 1636.86 ms
[2022-03-03 13:56:10 main:574] : INFO : Epoch 2007 | loss: 0.0311653 | val_loss: 0.0311731 | Time: 1632.12 ms
[2022-03-03 13:56:11 main:574] : INFO : Epoch 2008 | loss: 0.0311636 | val_loss: 0.0311734 | Time: 1632.69 ms
[2022-03-03 13:56:13 main:574] : INFO : Epoch 2009 | loss: 0.0311637 | val_loss: 0.0311733 | Time: 1622.05 ms
[2022-03-03 13:56:15 main:574] : INFO : Epoch 2010 | loss: 0.0311641 | val_loss: 0.0311745 | Time: 1626.46 ms
[2022-03-03 13:56:16 main:574] : INFO : Epoch 2011 | loss: 0.0311661 | val_loss: 0.031173 | Time: 1633.09 ms
[2022-03-03 13:56:18 main:574] : INFO : Epoch 2012 | loss: 0.0311629 | val_loss: 0.0311734 | Time: 1638.17 ms
[2022-03-03 13:56:19 main:574] : INFO : Epoch 2013 | loss: 0.0311627 | val_loss: 0.0311726 | Time: 1629.27 ms
[2022-03-03 13:56:21 main:574] : INFO : Epoch 2014 | loss: 0.0311623 | val_loss: 0.0311743 | Time: 1628.38 ms
[2022-03-03 13:56:23 main:574] : INFO : Epoch 2015 | loss: 0.0311638 | val_loss: 0.0311744 | Time: 1628.05 ms
[2022-03-03 13:56:24 main:574] : INFO : Epoch 2016 | loss: 0.0311618 | val_loss: 0.0311748 | Time: 1633.61 ms
[2022-03-03 13:56:26 main:574] : INFO : Epoch 2017 | loss: 0.0311607 | val_loss: 0.0311728 | Time: 1644.14 ms
[2022-03-03 13:56:28 main:574] : INFO : Epoch 2018 | loss: 0.0311613 | val_loss: 0.0311729 | Time: 1648.9 ms
[2022-03-03 13:56:29 main:574] : INFO : Epoch 2019 | loss: 0.0311618 | val_loss: 0.0311766 | Time: 1625.37 ms
[2022-03-03 13:56:31 main:574] : INFO : Epoch 2020 | loss: 0.0311599 | val_loss: 0.0311751 | Time: 1643.52 ms
[2022-03-03 13:56:33 main:574] : INFO : Epoch 2021 | loss: 0.0311615 | val_loss: 0.031177 | Time: 1630.81 ms
[2022-03-03 13:56:34 main:574] : INFO : Epoch 2022 | loss: 0.0311619 | val_loss: 0.0311761 | Time: 1626.76 ms
[2022-03-03 13:56:36 main:574] : INFO : Epoch 2023 | loss: 0.0311619 | val_loss: 0.0311795 | Time: 1628.74 ms
[2022-03-03 13:56:37 main:574] : INFO : Epoch 2024 | loss: 0.0311619 | val_loss: 0.0311752 | Time: 1652.82 ms
[2022-03-03 13:56:39 main:574] : INFO : Epoch 2025 | loss: 0.0311601 | val_loss: 0.0311752 | Time: 1625.7 ms
[2022-03-03 13:56:41 main:574] : INFO : Epoch 2026 | loss: 0.0311628 | val_loss: 0.0311791 | Time: 1636.9 ms
[2022-03-03 13:56:42 main:574] : INFO : Epoch 2027 | loss: 0.0311622 | val_loss: 0.0311757 | Time: 1630.82 ms
[2022-03-03 13:56:44 main:574] : INFO : Epoch 2028 | loss: 0.0311605 | val_loss: 0.0311807 | Time: 1634.93 ms
[2022-03-03 13:56:46 main:574] : INFO : Epoch 2029 | loss: 0.0311612 | val_loss: 0.0311777 | Time: 1631.64 ms
[2022-03-03 13:56:47 main:574] : INFO : Epoch 2030 | loss: 0.031161 | val_loss: 0.031178 | Time: 1641.79 ms
[2022-03-03 13:56:49 main:574] : INFO : Epoch 2031 | loss: 0.0311608 | val_loss: 0.0311779 | Time: 1626.64 ms
[2022-03-03 13:56:51 main:574] : INFO : Epoch 2032 | loss: 0.0311607 | val_loss: 0.031178 | Time: 1633.49 ms
[2022-03-03 13:56:52 main:574] : INFO : Epoch 2033 | loss: 0.0311606 | val_loss: 0.0311782 | Time: 1627.54 ms
[2022-03-03 13:56:54 main:574] : INFO : Epoch 2034 | loss: 0.031161 | val_loss: 0.0311768 | Time: 1627.16 ms
[2022-03-03 13:56:55 main:574] : INFO : Epoch 2035 | loss: 0.0311601 | val_loss: 0.0311787 | Time: 1624.57 ms
[2022-03-03 13:56:57 main:574] : INFO : Epoch 2036 | loss: 0.0311598 | val_loss: 0.0311747 | Time: 1640.79 ms
[2022-03-03 13:56:59 main:574] : INFO : Epoch 2037 | loss: 0.031161 | val_loss: 0.0311753 | Time: 1636.64 ms
[2022-03-03 13:57:00 main:574] : INFO : Epoch 2038 | loss: 0.0311601 | val_loss: 0.031174 | Time: 1635.61 ms
[2022-03-03 13:57:02 main:574] : INFO : Epoch 2039 | loss: 0.0311599 | val_loss: 0.0311754 | Time: 1627.55 ms
[2022-03-03 13:57:04 main:574] : INFO : Epoch 2040 | loss: 0.0311596 | val_loss: 0.031177 | Time: 1635.01 ms
[2022-03-03 13:57:05 main:574] : INFO : Epoch 2041 | loss: 0.0311651 | val_loss: 0.0311792 | Time: 1636.25 ms
[2022-03-03 13:57:07 main:574] : INFO : Epoch 2042 | loss: 0.0311794 | val_loss: 0.033776 | Time: 1645.35 ms
[2022-03-03 13:57:09 main:574] : INFO : Epoch 2043 | loss: 0.0339212 | val_loss: 0.0326653 | Time: 1634.98 ms
[2022-03-03 13:57:10 main:574] : INFO : Epoch 2044 | loss: 0.0535652 | val_loss: 0.0425952 | Time: 1632.1 ms
[2022-03-03 13:57:12 main:574] : INFO : Epoch 2045 | loss: 0.0333093 | val_loss: 0.0317615 | Time: 1633.74 ms
[2022-03-03 13:57:14 main:574] : INFO : Epoch 2046 | loss: 0.0315822 | val_loss: 0.0314195 | Time: 1627.21 ms
[2022-03-03 13:57:15 main:574] : INFO : Epoch 2047 | loss: 0.0313338 | val_loss: 0.031297 | Time: 1626.05 ms
[2022-03-03 13:57:17 main:574] : INFO : Epoch 2048 | loss: 0.031273 | val_loss: 0.0312605 | Time: 1643.95 ms
[2022-03-03 13:57:17 main:597] : INFO : Saving trained model to model-final.pt, val_loss 0.0312605
[2022-03-03 13:57:17 main:603] : INFO : Saving end state to config to file
[2022-03-03 13:57:17 main:608] : INFO : Success, exiting..
13:57:17 (4536): called boinc_finish(0)
</stderr_txt>
]]>
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A project of the Cognition, Robotics, and Learning (CORAL) Lab at the University of Maryland, Baltimore County (UMBC)