Task 11557914
| Name | ParityModified-1639963870-12195-3-0_0 |
| Workunit | 8780955 |
| Created | 14 Feb 2022, 15:38:16 UTC |
| Sent | 25 Feb 2022, 18:52:27 UTC |
| Report deadline | 5 Mar 2022, 18:52:27 UTC |
| Received | 26 Apr 2022, 0:14:55 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 19853 |
| Run time | 10 hours 4 min 43 sec |
| CPU time | 9 hours 56 min 48 sec |
| Validate state | Task was reported too late to validate |
| Credit | 0.00 |
| Device peak FLOPS | 5,473.00 GFLOPS |
| Application version | Machine Learning Dataset Generator (GPU) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 2.84 GB |
| Peak swap size | 4.57 GB |
| Peak disk usage | 1.54 GB |
Stderr output
<core_client_version>7.16.20</core_client_version> <![CDATA[ <stderr_txt> ss: 0.0311675 | val_loss: 0.0311704 | Time: 11291 ms [2022-04-25 06:57:33 main:574] : INFO : Epoch 1651 | loss: 0.0311681 | val_loss: 0.0311752 | Time: 11705.2 ms [2022-04-25 06:57:45 main:574] : INFO : Epoch 1652 | loss: 0.031167 | val_loss: 0.03117 | Time: 11556 ms [2022-04-25 06:57:56 main:574] : INFO : Epoch 1653 | loss: 0.0311664 | val_loss: 0.031173 | Time: 11226.7 ms [2022-04-25 06:58:07 main:574] : INFO : Epoch 1654 | loss: 0.0311661 | val_loss: 0.0311728 | Time: 11344.1 ms [2022-04-25 06:58:18 main:574] : INFO : Epoch 1655 | loss: 0.0311675 | val_loss: 0.031172 | Time: 11115.2 ms [2022-04-25 06:58:30 main:574] : INFO : Epoch 1656 | loss: 0.0311661 | val_loss: 0.0311707 | Time: 11216.3 ms [2022-04-25 06:58:41 main:574] : INFO : Epoch 1657 | loss: 0.0311662 | val_loss: 0.0311715 | Time: 11242.7 ms [2022-04-25 06:58:52 main:574] : INFO : Epoch 1658 | loss: 0.0311665 | val_loss: 0.0311706 | Time: 11184.3 ms [2022-04-25 06:59:03 main:574] : INFO : Epoch 1659 | loss: 0.0311664 | val_loss: 0.0311702 | Time: 11302.3 ms [2022-04-25 06:59:14 main:574] : INFO : Epoch 1660 | loss: 0.0311653 | val_loss: 0.0311705 | Time: 11087.5 ms [2022-04-25 06:59:26 main:574] : INFO : Epoch 1661 | loss: 0.0311661 | val_loss: 0.0311722 | Time: 12005.7 ms [2022-04-25 06:59:38 main:574] : INFO : Epoch 1662 | loss: 0.0311664 | val_loss: 0.0311719 | Time: 11658.6 ms [2022-04-25 06:59:50 main:574] : INFO : Epoch 1663 | loss: 0.0311652 | val_loss: 0.0311712 | Time: 11681.9 ms [2022-04-25 07:00:01 main:574] : INFO : Epoch 1664 | loss: 0.0311668 | val_loss: 0.0311706 | Time: 11504.6 ms [2022-04-25 07:00:13 main:574] : INFO : Epoch 1665 | loss: 0.0311669 | val_loss: 0.031171 | Time: 11833.1 ms [2022-04-25 07:00:25 main:574] : INFO : Epoch 1666 | loss: 0.0311646 | val_loss: 0.0311703 | Time: 11817.5 ms [2022-04-25 07:00:37 main:574] : INFO : Epoch 1667 | loss: 0.0311635 | val_loss: 0.03117 | Time: 11561.9 ms [2022-04-25 07:00:48 main:574] : INFO : Epoch 1668 | loss: 0.0311632 | val_loss: 0.0311709 | Time: 11552.1 ms [2022-04-25 07:01:00 main:574] : INFO : Epoch 1669 | loss: 0.0311628 | val_loss: 0.0311703 | Time: 11808.4 ms [2022-04-25 07:01:12 main:574] : INFO : Epoch 1670 | loss: 0.0311649 | val_loss: 0.0311709 | Time: 11851.6 ms [2022-04-25 07:01:23 main:574] : INFO : Epoch 1671 | loss: 0.0311666 | val_loss: 0.0311727 | Time: 11669.5 ms [2022-04-25 07:01:35 main:574] : INFO : Epoch 1672 | loss: 0.031164 | val_loss: 0.031172 | Time: 11598.2 ms [2022-04-25 07:01:47 main:574] : INFO : Epoch 1673 | loss: 0.031164 | val_loss: 0.0311717 | Time: 11579.3 ms [2022-04-25 07:01:58 main:574] : INFO : Epoch 1674 | loss: 0.0311656 | val_loss: 0.0311736 | Time: 11629.7 ms [2022-04-25 07:02:10 main:574] : INFO : Epoch 1675 | loss: 0.0311707 | val_loss: 0.0311704 | Time: 11522.9 ms [2022-04-25 07:02:21 main:574] : INFO : Epoch 1676 | loss: 0.0311676 | val_loss: 0.0311723 | Time: 11685.8 ms [2022-04-25 07:02:33 main:574] : INFO : Epoch 1677 | loss: 0.0311684 | val_loss: 0.0311716 | Time: 11591.4 ms [2022-04-25 07:02:45 main:574] : INFO : Epoch 1678 | loss: 0.0311684 | val_loss: 0.0311711 | Time: 11739.4 ms [2022-04-25 07:02:56 main:574] : INFO : Epoch 1679 | loss: 0.0311704 | val_loss: 0.0311748 | Time: 11438.2 ms [2022-04-25 07:03:08 main:574] : INFO : Epoch 1680 | loss: 0.0311693 | val_loss: 0.0311736 | Time: 11511.3 ms [2022-04-25 07:03:19 main:574] : INFO : Epoch 1681 | loss: 0.0311681 | val_loss: 0.0311727 | Time: 11515.4 ms [2022-04-25 07:03:31 main:574] : INFO : Epoch 1682 | loss: 0.0311668 | val_loss: 0.0311719 | Time: 11847.9 ms [2022-04-25 07:03:43 main:574] : INFO : Epoch 1683 | loss: 0.0311663 | val_loss: 0.0311704 | Time: 11595.3 ms [2022-04-25 07:03:54 main:574] : INFO : Epoch 1684 | loss: 0.0311656 | val_loss: 0.0311722 | Time: 11531.3 ms [2022-04-25 07:04:06 main:574] : INFO : Epoch 1685 | loss: 0.0311658 | val_loss: 0.0311706 | Time: 11628.5 ms [2022-04-25 07:04:16 main:574] : INFO : Epoch 1686 | loss: 0.0311657 | val_loss: 0.0311713 | Time: 9783.69 ms [2022-04-25 07:04:27 main:574] : INFO : Epoch 1687 | loss: 0.0311652 | val_loss: 0.0311688 | Time: 11563.1 ms [2022-04-25 07:04:40 main:574] : INFO : Epoch 1688 | loss: 0.0311651 | val_loss: 0.0311722 | Time: 12496.7 ms [2022-04-25 07:04:52 main:574] : INFO : Epoch 1689 | loss: 0.031167 | val_loss: 0.0311717 | Time: 12642.6 ms [2022-04-25 07:05:05 main:574] : INFO : Epoch 1690 | loss: 0.0311649 | val_loss: 0.0311688 | Time: 12186.6 ms [2022-04-25 07:05:17 main:574] : INFO : Epoch 1691 | loss: 0.0311668 | val_loss: 0.0311721 | Time: 12460.2 ms [2022-04-25 07:05:29 main:574] : INFO : Epoch 1692 | loss: 0.0311685 | val_loss: 0.0311709 | Time: 12381.4 ms [2022-04-25 07:05:42 main:574] : INFO : Epoch 1693 | loss: 0.031168 | val_loss: 0.0311692 | Time: 12218.4 ms [2022-04-25 07:05:55 main:574] : INFO : Epoch 1694 | loss: 0.0311671 | val_loss: 0.0311771 | Time: 13232.8 ms [2022-04-25 07:06:07 main:574] : INFO : Epoch 1695 | loss: 0.0311667 | val_loss: 0.0311696 | Time: 12311.1 ms [2022-04-25 07:06:20 main:574] : INFO : Epoch 1696 | loss: 0.0311641 | val_loss: 0.0311697 | Time: 12463.4 ms [2022-04-25 07:06:32 main:574] : INFO : Epoch 1697 | loss: 0.0311641 | val_loss: 0.0311729 | Time: 12548.1 ms [2022-04-25 07:06:45 main:574] : INFO : Epoch 1698 | loss: 0.0311638 | val_loss: 0.0311691 | Time: 12743.1 ms [2022-04-25 07:06:59 main:574] : INFO : Epoch 1699 | loss: 0.0311651 | val_loss: 0.0311719 | Time: 13862.8 ms [2022-04-25 07:07:13 main:574] : INFO : Epoch 1700 | loss: 0.0311636 | val_loss: 0.0311741 | Time: 13657 ms [2022-04-25 07:07:25 main:574] : INFO : Epoch 1701 | loss: 0.0311666 | val_loss: 0.0311714 | Time: 12689.5 ms [2022-04-25 07:07:38 main:574] : INFO : Epoch 1702 | loss: 0.0311662 | val_loss: 0.0311724 | Time: 12878.7 ms [2022-04-25 07:07:50 main:574] : INFO : Epoch 1703 | loss: 0.0311668 | val_loss: 0.0311731 | Time: 11885.6 ms [2022-04-25 07:08:02 main:574] : INFO : Epoch 1704 | loss: 0.0311659 | val_loss: 0.0311714 | Time: 11668.4 ms [2022-04-25 07:08:14 main:574] : INFO : Epoch 1705 | loss: 0.0311653 | val_loss: 0.0311729 | Time: 11862.4 ms [2022-04-25 07:08:25 main:574] : INFO : Epoch 1706 | loss: 0.0311656 | val_loss: 0.0311711 | Time: 11540.4 ms [2022-04-25 07:08:37 main:574] : INFO : Epoch 1707 | loss: 0.0311652 | val_loss: 0.0311763 | Time: 11483.3 ms [2022-04-25 07:08:48 main:574] : INFO : Epoch 1708 | loss: 0.0311678 | val_loss: 0.0311717 | Time: 11760.8 ms [2022-04-25 07:09:00 main:574] : INFO : Epoch 1709 | loss: 0.0311657 | val_loss: 0.0311736 | Time: 11801.8 ms [2022-04-25 07:09:11 main:574] : INFO : Epoch 1710 | loss: 0.0311661 | val_loss: 0.0311701 | Time: 10743 ms [2022-04-25 07:09:22 main:574] : INFO : Epoch 1711 | loss: 0.0311645 | val_loss: 0.0311707 | Time: 11199.1 ms [2022-04-25 07:09:33 main:574] : INFO : Epoch 1712 | loss: 0.0311644 | val_loss: 0.0311716 | Time: 11087.2 ms [2022-04-25 07:09:45 main:574] : INFO : Epoch 1713 | loss: 0.031165 | val_loss: 0.0311726 | Time: 11301.1 ms [2022-04-25 07:09:56 main:574] : INFO : Epoch 1714 | loss: 0.0311657 | val_loss: 0.031172 | Time: 11400.9 ms [2022-04-25 07:10:07 main:574] : INFO : Epoch 1715 | loss: 0.0311635 | val_loss: 0.0311712 | Time: 11430.1 ms [2022-04-25 07:10:19 main:574] : INFO : Epoch 1716 | loss: 0.0311633 | val_loss: 0.031172 | Time: 11485.7 ms [2022-04-25 07:10:30 main:574] : INFO : Epoch 1717 | loss: 0.0311647 | val_loss: 0.0311707 | Time: 11425.1 ms [2022-04-25 07:10:42 main:574] : INFO : Epoch 1718 | loss: 0.0311676 | val_loss: 0.0311715 | Time: 11311.1 ms [2022-04-25 07:10:53 main:574] : INFO : Epoch 1719 | loss: 0.0311664 | val_loss: 0.0311705 | Time: 11433.8 ms [2022-04-25 07:11:04 main:574] : INFO : Epoch 1720 | loss: 0.0311652 | val_loss: 0.0311692 | Time: 11299.4 ms [2022-04-25 07:11:15 main:574] : INFO : Epoch 1721 | loss: 0.0311654 | val_loss: 0.0311695 | Time: 10698.3 ms [2022-04-25 07:11:27 main:574] : INFO : Epoch 1722 | loss: 0.031164 | val_loss: 0.0311698 | Time: 11732.1 ms [2022-04-25 07:11:39 main:574] : INFO : Epoch 1723 | loss: 0.0311627 | val_loss: 0.0311711 | Time: 12098 ms [2022-04-25 07:11:51 main:574] : INFO : Epoch 1724 | loss: 0.0311627 | val_loss: 0.0311714 | Time: 11695.7 ms [2022-04-25 07:12:02 main:574] : INFO : Epoch 1725 | loss: 0.0311636 | val_loss: 0.0311703 | Time: 11915.9 ms [2022-04-25 07:12:14 main:574] : INFO : Epoch 1726 | loss: 0.0311634 | val_loss: 0.0311714 | Time: 11938.7 ms [2022-04-25 07:12:26 main:574] : INFO : Epoch 1727 | loss: 0.0311629 | val_loss: 0.0311695 | Time: 11727.6 ms [2022-04-25 07:12:38 main:574] : INFO : Epoch 1728 | loss: 0.0311638 | val_loss: 0.0311711 | Time: 11841.9 ms [2022-04-25 07:12:50 main:574] : INFO : Epoch 1729 | loss: 0.0311628 | val_loss: 0.0311698 | Time: 11673.5 ms [2022-04-25 07:13:01 main:574] : INFO : Epoch 1730 | loss: 0.0311623 | val_loss: 0.0311688 | Time: 11656.6 ms [2022-04-25 07:13:13 main:574] : INFO : Epoch 1731 | loss: 0.0311619 | val_loss: 0.0311698 | Time: 12034.9 ms [2022-04-25 07:13:25 main:574] : INFO : Epoch 1732 | loss: 0.0311636 | val_loss: 0.0311703 | Time: 11607.6 ms [2022-04-25 07:13:37 main:574] : INFO : Epoch 1733 | loss: 0.031162 | val_loss: 0.0311697 | Time: 11703.2 ms [2022-04-25 07:13:48 main:574] : INFO : Epoch 1734 | loss: 0.0311634 | val_loss: 0.0311708 | Time: 11722.5 ms [2022-04-25 07:14:00 main:574] : INFO : Epoch 1735 | loss: 0.0311645 | val_loss: 0.0311825 | Time: 11679.1 ms [2022-04-25 07:14:12 main:574] : INFO : Epoch 1736 | loss: 0.0311656 | val_loss: 0.0311758 | Time: 11642.2 ms [2022-04-25 07:14:24 main:574] : INFO : Epoch 1737 | loss: 0.0311629 | val_loss: 0.0311683 | Time: 11798.8 ms [2022-04-25 07:14:35 main:574] : INFO : Epoch 1738 | loss: 0.031163 | val_loss: 0.0311697 | Time: 11828.7 ms [2022-04-25 07:14:47 main:574] : INFO : Epoch 1739 | loss: 0.0311627 | val_loss: 0.0311688 | Time: 11789.5 ms [2022-04-25 07:14:59 main:574] : INFO : Epoch 1740 | loss: 0.0311651 | val_loss: 0.0311694 | Time: 11689.9 ms [2022-04-25 07:15:11 main:574] : INFO : Epoch 1741 | loss: 0.0311664 | val_loss: 0.0311704 | Time: 11893.8 ms [2022-04-25 07:15:22 main:574] : INFO : Epoch 1742 | loss: 0.0311643 | val_loss: 0.0311697 | Time: 11690.4 ms [2022-04-25 07:15:34 main:574] : INFO : Epoch 1743 | loss: 0.0311635 | val_loss: 0.0311706 | Time: 11631.5 ms [2022-04-25 07:15:46 main:574] : INFO : Epoch 1744 | loss: 0.031164 | val_loss: 0.0311699 | Time: 11482.8 ms [2022-04-25 07:15:57 main:574] : INFO : Epoch 1745 | loss: 0.031164 | val_loss: 0.0311727 | Time: 11801.9 ms [2022-04-25 07:16:09 main:574] : INFO : Epoch 1746 | loss: 0.031162 | val_loss: 0.0311705 | Time: 11908.8 ms [2022-04-25 07:16:21 main:574] : INFO : Epoch 1747 | loss: 0.0311623 | val_loss: 0.0311708 | Time: 11352 ms [2022-04-25 07:16:32 main:574] : INFO : Epoch 1748 | loss: 0.0311619 | val_loss: 0.0311705 | Time: 11627.3 ms [2022-04-25 07:16:44 main:574] : INFO : Epoch 1749 | loss: 0.0311627 | val_loss: 0.0311713 | Time: 11434.8 ms [2022-04-25 07:16:55 main:574] : INFO : Epoch 1750 | loss: 0.0311617 | val_loss: 0.0311696 | Time: 11356.4 ms [2022-04-25 07:17:06 main:574] : INFO : Epoch 1751 | loss: 0.0311666 | val_loss: 0.0311697 | Time: 11354.6 ms [2022-04-25 07:17:18 main:574] : INFO : Epoch 1752 | loss: 0.0311633 | val_loss: 0.0311692 | Time: 11452.6 ms [2022-04-25 07:17:29 main:574] : INFO : Epoch 1753 | loss: 0.0311612 | val_loss: 0.0311688 | Time: 11291.7 ms [2022-04-25 07:17:41 main:574] : INFO : Epoch 1754 | loss: 0.0311603 | val_loss: 0.03117 | Time: 11950.3 ms [2022-04-25 07:17:53 main:574] : INFO : Epoch 1755 | loss: 0.0311605 | val_loss: 0.0311694 | Time: 11687.7 ms [2022-04-25 07:18:05 main:574] : INFO : Epoch 1756 | loss: 0.0311613 | val_loss: 0.0311714 | Time: 11738.9 ms [2022-04-25 07:18:16 main:574] : INFO : Epoch 1757 | loss: 0.0311607 | val_loss: 0.0311685 | Time: 11512.4 ms [2022-04-25 07:18:27 main:574] : INFO : Epoch 1758 | loss: 0.0311604 | val_loss: 0.0311699 | Time: 11273.9 ms [2022-04-25 07:18:39 main:574] : INFO : Epoch 1759 | loss: 0.0311615 | val_loss: 0.0311683 | Time: 11277.3 ms [2022-04-25 07:18:50 main:574] : INFO : Epoch 1760 | loss: 0.0311605 | val_loss: 0.031171 | Time: 11453.6 ms [2022-04-25 07:19:02 main:574] : INFO : Epoch 1761 | loss: 0.0311599 | val_loss: 0.0311698 | Time: 11621.7 ms [2022-04-25 07:19:13 main:574] : INFO : Epoch 1762 | loss: 0.0311622 | val_loss: 0.0311699 | Time: 11528.3 ms [2022-04-25 07:19:25 main:574] : INFO : Epoch 1763 | loss: 0.0311626 | val_loss: 0.0311706 | Time: 11584.5 ms [2022-04-25 07:19:37 main:574] : INFO : Epoch 1764 | loss: 0.0311638 | val_loss: 0.0311707 | Time: 11605.5 ms [2022-04-25 07:19:48 main:574] : INFO : Epoch 1765 | loss: 0.0311644 | val_loss: 0.0311698 | Time: 11459.3 ms [2022-04-25 07:20:00 main:574] : INFO : Epoch 1766 | loss: 0.031165 | val_loss: 0.0311688 | Time: 11522.1 ms [2022-04-25 07:20:11 main:574] : INFO : Epoch 1767 | loss: 0.0311662 | val_loss: 0.0311658 | Time: 11885.9 ms [2022-04-25 07:20:23 main:574] : INFO : Epoch 1768 | loss: 0.0311646 | val_loss: 0.0311686 | Time: 11274.8 ms [2022-04-25 07:20:34 main:574] : INFO : Epoch 1769 | loss: 0.0311623 | val_loss: 0.0311715 | Time: 11750.7 ms [2022-04-25 07:20:46 main:574] : INFO : Epoch 1770 | loss: 0.0311669 | val_loss: 0.0311748 | Time: 11873.2 ms [2022-04-25 07:20:58 main:574] : INFO : Epoch 1771 | loss: 0.0311699 | val_loss: 0.0311756 | Time: 11328.6 ms [2022-04-25 07:21:09 main:574] : INFO : Epoch 1772 | loss: 0.0311686 | val_loss: 0.0311729 | Time: 11446.8 ms [2022-04-25 07:21:20 main:574] : INFO : Epoch 1773 | loss: 0.0311672 | val_loss: 0.0311723 | Time: 11159.4 ms [2022-04-25 07:21:32 main:574] : INFO : Epoch 1774 | loss: 0.0311662 | val_loss: 0.0311714 | Time: 11681.6 ms [2022-04-25 07:21:44 main:574] : INFO : Epoch 1775 | loss: 0.0311671 | val_loss: 0.0311709 | Time: 11740.8 ms [2022-04-25 07:21:55 main:574] : INFO : Epoch 1776 | loss: 0.0311667 | val_loss: 0.0311694 | Time: 11620.6 ms [2022-04-25 07:22:07 main:574] : INFO : Epoch 1777 | loss: 0.0311686 | val_loss: 0.0311732 | Time: 11769.3 ms [2022-04-25 07:22:19 main:574] : INFO : Epoch 1778 | loss: 0.0311673 | val_loss: 0.0311723 | Time: 12052.1 ms [2022-04-25 07:22:31 main:574] : INFO : Epoch 1779 | loss: 0.031166 | val_loss: 0.0311705 | Time: 12007.6 ms [2022-04-25 07:22:44 main:574] : INFO : Epoch 1780 | loss: 0.0311652 | val_loss: 0.0311688 | Time: 12414.2 ms [2022-04-25 07:22:56 main:574] : INFO : Epoch 1781 | loss: 0.0311659 | val_loss: 0.0311747 | Time: 12134.5 ms [2022-04-25 07:23:08 main:574] : INFO : Epoch 1782 | loss: 0.0311665 | val_loss: 0.0311741 | Time: 12265.9 ms [2022-04-25 07:23:20 main:574] : INFO : Epoch 1783 | loss: 0.031169 | val_loss: 0.0311738 | Time: 11807.3 ms [2022-04-25 07:23:32 main:574] : INFO : Epoch 1784 | loss: 0.0311688 | val_loss: 0.0311721 | Time: 11827.1 ms [2022-04-25 07:23:44 main:574] : INFO : Epoch 1785 | loss: 0.031169 | val_loss: 0.0311719 | Time: 11963.2 ms [2022-04-25 07:23:55 main:574] : INFO : Epoch 1786 | loss: 0.0311676 | val_loss: 0.0311732 | Time: 11743.3 ms [2022-04-25 07:24:07 main:574] : INFO : Epoch 1787 | loss: 0.0311676 | val_loss: 0.031172 | Time: 11718.2 ms [2022-04-25 07:24:19 main:574] : INFO : Epoch 1788 | loss: 0.0311664 | val_loss: 0.0311721 | Time: 11734.8 ms [2022-04-25 07:24:31 main:574] : INFO : Epoch 1789 | loss: 0.0311664 | val_loss: 0.03117 | Time: 11922.4 ms [2022-04-25 07:24:42 main:574] : INFO : Epoch 1790 | loss: 0.0311643 | val_loss: 0.0311694 | Time: 11708.1 ms [2022-04-25 07:24:54 main:574] : INFO : Epoch 1791 | loss: 0.0311646 | val_loss: 0.0311694 | Time: 11826.9 ms [2022-04-25 07:25:06 main:574] : INFO : Epoch 1792 | loss: 0.0311635 | val_loss: 0.0311706 | Time: 11804.4 ms [2022-04-25 07:25:18 main:574] : INFO : Epoch 1793 | loss: 0.0311636 | val_loss: 0.0311713 | Time: 12129 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce RTX 3060 Laptop GPU) [2022-04-25 07:29:46 main:435] : INFO : Set logging level to 1 [2022-04-25 07:29:46 main:441] : INFO : Running in BOINC Client mode [2022-04-25 07:29:46 main:444] : INFO : Resolving all filenames [2022-04-25 07:29:46 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-04-25 07:29:46 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-04-25 07:29:46 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-04-25 07:29:46 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1) [2022-04-25 07:29:46 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-04-25 07:29:46 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-04-25 07:29:46 main:474] : INFO : Configuration: [2022-04-25 07:29:46 main:475] : INFO : Model type: GRU [2022-04-25 07:29:46 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-04-25 07:29:46 main:477] : INFO : Max Epochs: 2048 [2022-04-25 07:29:46 main:478] : INFO : Batch Size: 128 [2022-04-25 07:29:46 main:479] : INFO : Learning Rate: 0.01 [2022-04-25 07:29:46 main:480] : INFO : Patience: 10 [2022-04-25 07:29:46 main:481] : INFO : Hidden Width: 12 [2022-04-25 07:29:46 main:482] : INFO : # Recurrent Layers: 4 [2022-04-25 07:29:46 main:483] : INFO : # Backend Layers: 4 [2022-04-25 07:29:46 main:484] : INFO : # Threads: 1 [2022-04-25 07:29:46 main:486] : INFO : Preparing Dataset [2022-04-25 07:29:46 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-04-25 07:29:46 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce RTX 3060 Laptop GPU) [2022-04-25 07:46:21 main:435] : INFO : Set logging level to 1 [2022-04-25 07:46:21 main:441] : INFO : Running in BOINC Client mode [2022-04-25 07:46:21 main:444] : INFO : Resolving all filenames [2022-04-25 07:46:21 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-04-25 07:46:21 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-04-25 07:46:21 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-04-25 07:46:21 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1) [2022-04-25 07:46:21 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-04-25 07:46:21 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-04-25 07:46:21 main:474] : INFO : Configuration: [2022-04-25 07:46:21 main:475] : INFO : Model type: GRU [2022-04-25 07:46:21 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-04-25 07:46:21 main:477] : INFO : Max Epochs: 2048 [2022-04-25 07:46:21 main:478] : INFO : Batch Size: 128 [2022-04-25 07:46:21 main:479] : INFO : Learning Rate: 0.01 [2022-04-25 07:46:21 main:480] : INFO : Patience: 10 [2022-04-25 07:46:21 main:481] : INFO : Hidden Width: 12 [2022-04-25 07:46:21 main:482] : INFO : # Recurrent Layers: 4 [2022-04-25 07:46:21 main:483] : INFO : # Backend Layers: 4 [2022-04-25 07:46:21 main:484] : INFO : # Threads: 1 [2022-04-25 07:46:21 main:486] : INFO : Preparing Dataset [2022-04-25 07:46:21 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-04-25 07:46:22 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce RTX 3060 Laptop GPU) [2022-04-25 08:36:11 main:435] : INFO : Set logging level to 1 [2022-04-25 08:36:11 main:441] : INFO : Running in BOINC Client mode [2022-04-25 08:36:11 main:444] : INFO : Resolving all filenames [2022-04-25 08:36:11 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-04-25 08:36:11 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-04-25 08:36:11 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-04-25 08:36:11 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1) [2022-04-25 08:36:11 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-04-25 08:36:11 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-04-25 08:36:11 main:474] : INFO : Configuration: [2022-04-25 08:36:11 main:475] : INFO : Model type: GRU [2022-04-25 08:36:11 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-04-25 08:36:11 main:477] : INFO : Max Epochs: 2048 [2022-04-25 08:36:11 main:478] : INFO : Batch Size: 128 [2022-04-25 08:36:11 main:479] : INFO : Learning Rate: 0.01 [2022-04-25 08:36:11 main:480] : INFO : Patience: 10 [2022-04-25 08:36:11 main:481] : INFO : Hidden Width: 12 [2022-04-25 08:36:11 main:482] : INFO : # Recurrent Layers: 4 [2022-04-25 08:36:11 main:483] : INFO : # Backend Layers: 4 [2022-04-25 08:36:11 main:484] : INFO : # Threads: 1 [2022-04-25 08:36:11 main:486] : INFO : Preparing Dataset [2022-04-25 08:36:11 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-04-25 08:36:11 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce RTX 3060 Laptop GPU) [2022-04-25 09:37:46 main:435] : INFO : Set logging level to 1 [2022-04-25 09:37:46 main:441] : INFO : Running in BOINC Client mode [2022-04-25 09:37:46 main:444] : INFO : Resolving all filenames [2022-04-25 09:37:46 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-04-25 09:37:46 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-04-25 09:37:46 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-04-25 09:37:46 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1) [2022-04-25 09:37:46 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-04-25 09:37:46 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-04-25 09:37:46 main:474] : INFO : Configuration: [2022-04-25 09:37:46 main:475] : INFO : Model type: GRU [2022-04-25 09:37:46 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-04-25 09:37:46 main:477] : INFO : Max Epochs: 2048 [2022-04-25 09:37:46 main:478] : INFO : Batch Size: 128 [2022-04-25 09:37:46 main:479] : INFO : Learning Rate: 0.01 [2022-04-25 09:37:46 main:480] : INFO : Patience: 10 [2022-04-25 09:37:46 main:481] : INFO : Hidden Width: 12 [2022-04-25 09:37:46 main:482] : INFO : # Recurrent Layers: 4 [2022-04-25 09:37:46 main:483] : INFO : # Backend Layers: 4 [2022-04-25 09:37:46 main:484] : INFO : # Threads: 1 [2022-04-25 09:37:46 main:486] : INFO : Preparing Dataset [2022-04-25 09:37:46 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-04-25 09:37:47 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce RTX 3060 Laptop GPU) [2022-04-26 02:33:12 main:435] : INFO : Set logging level to 1 [2022-04-26 02:33:13 main:441] : INFO : Running in BOINC Client mode [2022-04-26 02:33:13 main:444] : INFO : Resolving all filenames [2022-04-26 02:33:13 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-04-26 02:33:13 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-04-26 02:33:13 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-04-26 02:33:13 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1) [2022-04-26 02:33:13 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-04-26 02:33:13 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-04-26 02:33:13 main:474] : INFO : Configuration: [2022-04-26 02:33:13 main:475] : INFO : Model type: GRU [2022-04-26 02:33:13 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-04-26 02:33:13 main:477] : INFO : Max Epochs: 2048 [2022-04-26 02:33:13 main:478] : INFO : Batch Size: 128 [2022-04-26 02:33:13 main:479] : INFO : Learning Rate: 0.01 [2022-04-26 02:33:13 main:480] : INFO : Patience: 10 [2022-04-26 02:33:13 main:481] : INFO : Hidden Width: 12 [2022-04-26 02:33:13 main:482] : INFO : # Recurrent Layers: 4 [2022-04-26 02:33:13 main:483] : INFO : # Backend Layers: 4 [2022-04-26 02:33:13 main:484] : INFO : # Threads: 1 [2022-04-26 02:33:13 main:486] : INFO : Preparing Dataset [2022-04-26 02:33:13 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-04-26 02:33:13 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory [2022-04-26 03:36:30 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2022-04-26 03:36:30 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory [2022-04-26 03:36:30 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory [2022-04-26 03:36:30 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2022-04-26 03:36:30 main:494] : INFO : Creating Model [2022-04-26 03:36:30 main:507] : INFO : Preparing config file [2022-04-26 03:36:30 main:511] : INFO : Found checkpoint, attempting to load... [2022-04-26 03:36:30 main:512] : INFO : Loading config [2022-04-26 03:36:30 main:514] : INFO : Loading state [2022-04-26 04:23:23 main:559] : INFO : Loading DataLoader into Memory [2022-04-26 04:23:23 main:562] : INFO : Starting Training [2022-04-26 04:28:02 main:574] : INFO : Epoch 1779 | loss: 0.0312021 | val_loss: 0.03118 | Time: 278893 ms [2022-04-26 04:28:13 main:574] : INFO : Epoch 1780 | loss: 0.0311714 | val_loss: 0.0311773 | Time: 11206.7 ms [2022-04-26 04:28:24 main:574] : INFO : Epoch 1781 | loss: 0.0311711 | val_loss: 0.0311714 | Time: 10756.2 ms [2022-04-26 04:28:35 main:574] : INFO : Epoch 1782 | loss: 0.0311651 | val_loss: 0.03117 | Time: 11153.6 ms [2022-04-26 04:28:46 main:574] : INFO : Epoch 1783 | loss: 0.0311646 | val_loss: 0.0311729 | Time: 10826.1 ms [2022-04-26 04:28:54 main:574] : INFO : Epoch 1784 | loss: 0.0311644 | val_loss: 0.0311699 | Time: 8195.43 ms [2022-04-26 04:29:04 main:574] : INFO : Epoch 1785 | loss: 0.0311642 | val_loss: 0.0311712 | Time: 9855.28 ms [2022-04-26 04:29:14 main:574] : INFO : Epoch 1786 | loss: 0.0311636 | val_loss: 0.0311691 | Time: 10693.3 ms [2022-04-26 04:29:26 main:574] : INFO : Epoch 1787 | loss: 0.0311635 | val_loss: 0.0311705 | Time: 11120.3 ms [2022-04-26 04:29:37 main:574] : INFO : Epoch 1788 | loss: 0.0311622 | val_loss: 0.0311682 | Time: 11006.4 ms [2022-04-26 04:29:48 main:574] : INFO : Epoch 1789 | loss: 0.0311625 | val_loss: 0.0311712 | Time: 10898 ms [2022-04-26 04:29:59 main:574] : INFO : Epoch 1790 | loss: 0.0311646 | val_loss: 0.0311725 | Time: 11048.1 ms [2022-04-26 04:30:10 main:574] : INFO : Epoch 1791 | loss: 0.031165 | val_loss: 0.0311711 | Time: 11079.1 ms [2022-04-26 04:30:20 main:574] : INFO : Epoch 1792 | loss: 0.0311637 | val_loss: 0.0311691 | Time: 10504.4 ms [2022-04-26 04:30:31 main:574] : INFO : Epoch 1793 | loss: 0.0311613 | val_loss: 0.0311733 | Time: 10447.6 ms [2022-04-26 04:30:42 main:574] : INFO : Epoch 1794 | loss: 0.0311635 | val_loss: 0.0311681 | Time: 11075 ms [2022-04-26 04:30:53 main:574] : INFO : Epoch 1795 | loss: 0.0311615 | val_loss: 0.0311693 | Time: 11276.2 ms [2022-04-26 04:31:04 main:574] : INFO : Epoch 1796 | loss: 0.0311613 | val_loss: 0.0311681 | Time: 10851.2 ms [2022-04-26 04:31:15 main:574] : INFO : Epoch 1797 | loss: 0.0311614 | val_loss: 0.0311696 | Time: 10743.7 ms [2022-04-26 04:31:25 main:574] : INFO : Epoch 1798 | loss: 0.0311632 | val_loss: 0.0311688 | Time: 10717.1 ms [2022-04-26 04:31:36 main:574] : INFO : Epoch 1799 | loss: 0.0311627 | val_loss: 0.0311707 | Time: 10875.5 ms [2022-04-26 04:31:47 main:574] : INFO : Epoch 1800 | loss: 0.0311631 | val_loss: 0.0311684 | Time: 11028.7 ms [2022-04-26 04:31:57 main:574] : INFO : Epoch 1801 | loss: 0.0311628 | val_loss: 0.0311722 | Time: 9831.24 ms [2022-04-26 04:32:07 main:574] : INFO : Epoch 1802 | loss: 0.0311626 | val_loss: 0.0311698 | Time: 9809.44 ms [2022-04-26 04:32:18 main:574] : INFO : Epoch 1803 | loss: 0.0311633 | val_loss: 0.0311714 | Time: 10646.8 ms [2022-04-26 04:32:28 main:574] : INFO : Epoch 1804 | loss: 0.0311639 | val_loss: 0.0311717 | Time: 10824 ms [2022-04-26 04:32:39 main:574] : INFO : Epoch 1805 | loss: 0.0311645 | val_loss: 0.0311707 | Time: 10987.4 ms [2022-04-26 04:32:50 main:574] : INFO : Epoch 1806 | loss: 0.0311649 | val_loss: 0.0311692 | Time: 10938.4 ms [2022-04-26 04:33:01 main:574] : INFO : Epoch 1807 | loss: 0.0311643 | val_loss: 0.0311673 | Time: 10252.7 ms [2022-04-26 04:33:11 main:574] : INFO : Epoch 1808 | loss: 0.0311621 | val_loss: 0.03117 | Time: 10879.1 ms [2022-04-26 04:33:22 main:574] : INFO : Epoch 1809 | loss: 0.0311628 | val_loss: 0.0311707 | Time: 10562.5 ms [2022-04-26 04:33:31 main:574] : INFO : Epoch 1810 | loss: 0.0311629 | val_loss: 0.0311724 | Time: 9481.91 ms [2022-04-26 04:33:41 main:574] : INFO : Epoch 1811 | loss: 0.0311613 | val_loss: 0.0311717 | Time: 9581.78 ms [2022-04-26 04:33:51 main:574] : INFO : Epoch 1812 | loss: 0.0311615 | val_loss: 0.0311688 | Time: 9623.41 ms [2022-04-26 04:34:02 main:574] : INFO : Epoch 1813 | loss: 0.0311599 | val_loss: 0.031167 | Time: 11023.9 ms [2022-04-26 04:34:12 main:574] : INFO : Epoch 1814 | loss: 0.0311618 | val_loss: 0.0311696 | Time: 10345.2 ms [2022-04-26 04:34:23 main:574] : INFO : Epoch 1815 | loss: 0.0311613 | val_loss: 0.0311684 | Time: 10472 ms [2022-04-26 04:34:33 main:574] : INFO : Epoch 1816 | loss: 0.0311605 | val_loss: 0.0311677 | Time: 10038.9 ms [2022-04-26 04:34:42 main:574] : INFO : Epoch 1817 | loss: 0.0311619 | val_loss: 0.0311679 | Time: 9418.71 ms [2022-04-26 04:34:53 main:574] : INFO : Epoch 1818 | loss: 0.0311626 | val_loss: 0.0311697 | Time: 10738.1 ms [2022-04-26 04:35:03 main:574] : INFO : Epoch 1819 | loss: 0.0311632 | val_loss: 0.0311712 | Time: 10524.8 ms [2022-04-26 04:35:13 main:574] : INFO : Epoch 1820 | loss: 0.0311632 | val_loss: 0.0311738 | Time: 9691.29 ms [2022-04-26 04:35:22 main:574] : INFO : Epoch 1821 | loss: 0.0311634 | val_loss: 0.0311706 | Time: 9198.83 ms [2022-04-26 04:35:32 main:574] : INFO : Epoch 1822 | loss: 0.0311618 | val_loss: 0.0311713 | Time: 9563.1 ms [2022-04-26 04:35:41 main:574] : INFO : Epoch 1823 | loss: 0.0311612 | val_loss: 0.0311684 | Time: 9456.48 ms [2022-04-26 04:35:51 main:574] : INFO : Epoch 1824 | loss: 0.0311619 | val_loss: 0.0311689 | Time: 10035.9 ms [2022-04-26 04:36:01 main:574] : INFO : Epoch 1825 | loss: 0.0311632 | val_loss: 0.0311728 | Time: 10034.7 ms [2022-04-26 04:36:12 main:574] : INFO : Epoch 1826 | loss: 0.031163 | val_loss: 0.0311722 | Time: 10905.3 ms [2022-04-26 04:36:23 main:574] : INFO : Epoch 1827 | loss: 0.0311612 | val_loss: 0.0311707 | Time: 10832.8 ms [2022-04-26 04:36:34 main:574] : INFO : Epoch 1828 | loss: 0.0311624 | val_loss: 0.0311727 | Time: 11106.4 ms [2022-04-26 04:36:44 main:574] : INFO : Epoch 1829 | loss: 0.0311606 | val_loss: 0.0311689 | Time: 9928.99 ms [2022-04-26 04:36:55 main:574] : INFO : Epoch 1830 | loss: 0.0311618 | val_loss: 0.0311707 | Time: 10388.4 ms [2022-04-26 04:37:05 main:574] : INFO : Epoch 1831 | loss: 0.0311624 | val_loss: 0.0311688 | Time: 10779.3 ms [2022-04-26 04:37:16 main:574] : INFO : Epoch 1832 | loss: 0.0311611 | val_loss: 0.0311734 | Time: 10810.3 ms [2022-04-26 04:37:27 main:574] : INFO : Epoch 1833 | loss: 0.0311624 | val_loss: 0.03117 | Time: 10944 ms [2022-04-26 04:37:38 main:574] : INFO : Epoch 1834 | loss: 0.0311629 | val_loss: 0.0311713 | Time: 10913.5 ms [2022-04-26 04:37:49 main:574] : INFO : Epoch 1835 | loss: 0.0311637 | val_loss: 0.0311712 | Time: 10636.2 ms [2022-04-26 04:37:59 main:574] : INFO : Epoch 1836 | loss: 0.0311663 | val_loss: 0.0311699 | Time: 10662.1 ms [2022-04-26 04:38:10 main:574] : INFO : Epoch 1837 | loss: 0.0311651 | val_loss: 0.0311703 | Time: 10779.5 ms [2022-04-26 04:38:21 main:574] : INFO : Epoch 1838 | loss: 0.0311671 | val_loss: 0.0311702 | Time: 10912.5 ms [2022-04-26 04:38:31 main:574] : INFO : Epoch 1839 | loss: 0.0311701 | val_loss: 0.0311713 | Time: 10486 ms [2022-04-26 04:38:42 main:574] : INFO : Epoch 1840 | loss: 0.0311699 | val_loss: 0.0311715 | Time: 10709 ms [2022-04-26 04:38:52 main:574] : INFO : Epoch 1841 | loss: 0.0311695 | val_loss: 0.0311709 | Time: 10028.4 ms [2022-04-26 04:39:02 main:574] : INFO : Epoch 1842 | loss: 0.0311671 | val_loss: 0.0311701 | Time: 9678.53 ms [2022-04-26 04:39:12 main:574] : INFO : Epoch 1843 | loss: 0.0311663 | val_loss: 0.0311707 | Time: 9674.48 ms [2022-04-26 04:39:22 main:574] : INFO : Epoch 1844 | loss: 0.0311668 | val_loss: 0.0311699 | Time: 10024.8 ms [2022-04-26 04:39:33 main:574] : INFO : Epoch 1845 | loss: 0.0311657 | val_loss: 0.03117 | Time: 10998.5 ms [2022-04-26 04:39:44 main:574] : INFO : Epoch 1846 | loss: 0.0311677 | val_loss: 0.0311717 | Time: 10893.2 ms [2022-04-26 04:39:54 main:574] : INFO : Epoch 1847 | loss: 0.0311682 | val_loss: 0.0311681 | Time: 10982.3 ms [2022-04-26 04:40:05 main:574] : INFO : Epoch 1848 | loss: 0.0311683 | val_loss: 0.0311703 | Time: 10967 ms [2022-04-26 04:40:15 main:574] : INFO : Epoch 1849 | loss: 0.0311706 | val_loss: 0.0311701 | Time: 9747.01 ms [2022-04-26 04:40:25 main:574] : INFO : Epoch 1850 | loss: 0.0311692 | val_loss: 0.0311715 | Time: 9537.91 ms [2022-04-26 04:40:35 main:574] : INFO : Epoch 1851 | loss: 0.0311689 | val_loss: 0.0311711 | Time: 10070.6 ms [2022-04-26 04:40:46 main:574] : INFO : Epoch 1852 | loss: 0.0311679 | val_loss: 0.0311698 | Time: 10998.5 ms [2022-04-26 04:40:56 main:574] : INFO : Epoch 1853 | loss: 0.0311692 | val_loss: 0.0311764 | Time: 10241.3 ms [2022-04-26 04:41:06 main:574] : INFO : Epoch 1854 | loss: 0.0311702 | val_loss: 0.0311699 | Time: 10352.6 ms [2022-04-26 04:41:17 main:574] : INFO : Epoch 1855 | loss: 0.0311692 | val_loss: 0.0311708 | Time: 10977.3 ms [2022-04-26 04:41:28 main:574] : INFO : Epoch 1856 | loss: 0.0311688 | val_loss: 0.0311681 | Time: 10937 ms [2022-04-26 04:41:39 main:574] : INFO : Epoch 1857 | loss: 0.0311678 | val_loss: 0.0311731 | Time: 10453.4 ms [2022-04-26 04:41:49 main:574] : INFO : Epoch 1858 | loss: 0.0311709 | val_loss: 0.0311729 | Time: 9822.32 ms [2022-04-26 04:42:00 main:574] : INFO : Epoch 1859 | loss: 0.0311704 | val_loss: 0.0311698 | Time: 10856.8 ms [2022-04-26 04:42:10 main:574] : INFO : Epoch 1860 | loss: 0.0311665 | val_loss: 0.0311676 | Time: 10540.3 ms [2022-04-26 04:42:21 main:574] : INFO : Epoch 1861 | loss: 0.0311663 | val_loss: 0.031173 | Time: 11004.8 ms [2022-04-26 04:42:32 main:574] : INFO : Epoch 1862 | loss: 0.031167 | val_loss: 0.0311669 | Time: 10426.4 ms [2022-04-26 04:42:41 main:574] : INFO : Epoch 1863 | loss: 0.0311659 | val_loss: 0.0311664 | Time: 9633.55 ms [2022-04-26 04:42:51 main:574] : INFO : Epoch 1864 | loss: 0.031166 | val_loss: 0.031172 | Time: 9844.49 ms [2022-04-26 04:43:01 main:574] : INFO : Epoch 1865 | loss: 0.0311716 | val_loss: 0.0311725 | Time: 10346 ms [2022-04-26 04:43:12 main:574] : INFO : Epoch 1866 | loss: 0.0311722 | val_loss: 0.0311712 | Time: 10873.5 ms [2022-04-26 04:43:23 main:574] : INFO : Epoch 1867 | loss: 0.0311712 | val_loss: 0.0311719 | Time: 11263.8 ms [2022-04-26 04:43:34 main:574] : INFO : Epoch 1868 | loss: 0.0311708 | val_loss: 0.0311694 | Time: 10754.7 ms [2022-04-26 04:43:45 main:574] : INFO : Epoch 1869 | loss: 0.0311683 | val_loss: 0.0311702 | Time: 10686 ms [2022-04-26 04:43:56 main:574] : INFO : Epoch 1870 | loss: 0.0311683 | val_loss: 0.0311691 | Time: 11009.1 ms [2022-04-26 04:44:07 main:574] : INFO : Epoch 1871 | loss: 0.0311674 | val_loss: 0.0311699 | Time: 10577.6 ms [2022-04-26 04:44:16 main:574] : INFO : Epoch 1872 | loss: 0.0311685 | val_loss: 0.0311731 | Time: 9799.92 ms [2022-04-26 04:44:26 main:574] : INFO : Epoch 1873 | loss: 0.0311679 | val_loss: 0.0311689 | Time: 9596.24 ms [2022-04-26 04:44:36 main:574] : INFO : Epoch 1874 | loss: 0.0311696 | val_loss: 0.0311724 | Time: 10174 ms [2022-04-26 04:44:47 main:574] : INFO : Epoch 1875 | loss: 0.0311727 | val_loss: 0.0311711 | Time: 11012.1 ms [2022-04-26 04:44:58 main:574] : INFO : Epoch 1876 | loss: 0.0311673 | val_loss: 0.0311702 | Time: 10396.1 ms [2022-04-26 04:45:08 main:574] : INFO : Epoch 1877 | loss: 0.0311676 | val_loss: 0.0311704 | Time: 9988.18 ms [2022-04-26 04:45:17 main:574] : INFO : Epoch 1878 | loss: 0.0311671 | val_loss: 0.0311691 | Time: 9594.65 ms [2022-04-26 04:45:27 main:574] : INFO : Epoch 1879 | loss: 0.0311666 | val_loss: 0.0311695 | Time: 9804.25 ms [2022-04-26 04:45:37 main:574] : INFO : Epoch 1880 | loss: 0.031167 | val_loss: 0.0311681 | Time: 9984.57 ms [2022-04-26 04:45:47 main:574] : INFO : Epoch 1881 | loss: 0.0311679 | val_loss: 0.0311684 | Time: 9884.05 ms [2022-04-26 04:45:57 main:574] : INFO : Epoch 1882 | loss: 0.0311653 | val_loss: 0.0311677 | Time: 9707.92 ms [2022-04-26 04:46:06 main:574] : INFO : Epoch 1883 | loss: 0.0311654 | val_loss: 0.0311677 | Time: 9945.45 ms [2022-04-26 04:46:17 main:574] : INFO : Epoch 1884 | loss: 0.0311648 | val_loss: 0.0311714 | Time: 10999.4 ms [2022-04-26 04:46:28 main:574] : INFO : Epoch 1885 | loss: 0.0311654 | val_loss: 0.0311701 | Time: 10774.9 ms [2022-04-26 04:46:39 main:574] : INFO : Epoch 1886 | loss: 0.0311642 | val_loss: 0.0311698 | Time: 10893.5 ms [2022-04-26 04:46:50 main:574] : INFO : Epoch 1887 | loss: 0.0311659 | val_loss: 0.0311698 | Time: 11064.1 ms [2022-04-26 04:47:02 main:574] : INFO : Epoch 1888 | loss: 0.0311654 | val_loss: 0.0311699 | Time: 11375 ms [2022-04-26 04:47:13 main:574] : INFO : Epoch 1889 | loss: 0.031164 | val_loss: 0.0311693 | Time: 11023.5 ms [2022-04-26 04:47:23 main:574] : INFO : Epoch 1890 | loss: 0.0311643 | val_loss: 0.0311709 | Time: 10843.4 ms [2022-04-26 04:47:34 main:574] : INFO : Epoch 1891 | loss: 0.0311664 | val_loss: 0.0311698 | Time: 10793 ms [2022-04-26 04:47:44 main:574] : INFO : Epoch 1892 | loss: 0.0311648 | val_loss: 0.0311695 | Time: 9664.91 ms [2022-04-26 04:47:54 main:574] : INFO : Epoch 1893 | loss: 0.0311644 | val_loss: 0.0311687 | Time: 9796.16 ms [2022-04-26 04:48:03 main:574] : INFO : Epoch 1894 | loss: 0.0311649 | val_loss: 0.0311689 | Time: 9697.23 ms [2022-04-26 04:48:13 main:574] : INFO : Epoch 1895 | loss: 0.0311652 | val_loss: 0.0311675 | Time: 9783.73 ms [2022-04-26 04:48:23 main:574] : INFO : Epoch 1896 | loss: 0.0311648 | val_loss: 0.0311679 | Time: 9666.28 ms [2022-04-26 04:48:33 main:574] : INFO : Epoch 1897 | loss: 0.0311666 | val_loss: 0.0311686 | Time: 10478.3 ms [2022-04-26 04:48:44 main:574] : INFO : Epoch 1898 | loss: 0.031164 | val_loss: 0.0311655 | Time: 10949.7 ms [2022-04-26 04:48:55 main:574] : INFO : Epoch 1899 | loss: 0.0311635 | val_loss: 0.0311672 | Time: 10890.6 ms [2022-04-26 04:49:06 main:574] : INFO : Epoch 1900 | loss: 0.0311633 | val_loss: 0.0311664 | Time: 11179.8 ms [2022-04-26 04:49:16 main:574] : INFO : Epoch 1901 | loss: 0.031163 | val_loss: 0.0311665 | Time: 10034.4 ms [2022-04-26 04:49:26 main:574] : INFO : Epoch 1902 | loss: 0.0311635 | val_loss: 0.0311691 | Time: 9835.77 ms [2022-04-26 04:49:36 main:574] : INFO : Epoch 1903 | loss: 0.0311631 | val_loss: 0.0311684 | Time: 9745.95 ms [2022-04-26 04:49:46 main:574] : INFO : Epoch 1904 | loss: 0.0311646 | val_loss: 0.0311685 | Time: 9849.15 ms [2022-04-26 04:49:56 main:574] : INFO : Epoch 1905 | loss: 0.0311636 | val_loss: 0.0311719 | Time: 9989.36 ms [2022-04-26 04:50:06 main:574] : INFO : Epoch 1906 | loss: 0.0311626 | val_loss: 0.0311706 | Time: 9938.82 ms [2022-04-26 04:50:16 main:574] : INFO : Epoch 1907 | loss: 0.0311621 | val_loss: 0.0311691 | Time: 9972.74 ms [2022-04-26 04:50:26 main:574] : INFO : Epoch 1908 | loss: 0.0311638 | val_loss: 0.0311689 | Time: 9888.17 ms [2022-04-26 04:50:36 main:574] : INFO : Epoch 1909 | loss: 0.0311618 | val_loss: 0.0311699 | Time: 10782.6 ms [2022-04-26 04:50:47 main:574] : INFO : Epoch 1910 | loss: 0.031162 | val_loss: 0.0311716 | Time: 10828.2 ms [2022-04-26 04:50:58 main:574] : INFO : Epoch 1911 | loss: 0.0311628 | val_loss: 0.0311808 | Time: 10300.8 ms [2022-04-26 04:51:08 main:574] : INFO : Epoch 1912 | loss: 0.0311673 | val_loss: 0.0311716 | Time: 10616.9 ms [2022-04-26 04:51:19 main:574] : INFO : Epoch 1913 | loss: 0.0311637 | val_loss: 0.0311698 | Time: 10481.6 ms [2022-04-26 04:51:29 main:574] : INFO : Epoch 1914 | loss: 0.0311629 | val_loss: 0.0311702 | Time: 10277.8 ms [2022-04-26 04:51:40 main:574] : INFO : Epoch 1915 | loss: 0.031165 | val_loss: 0.0311771 | Time: 10603.9 ms [2022-04-26 04:51:49 main:574] : INFO : Epoch 1916 | loss: 0.0311652 | val_loss: 0.0311684 | Time: 9254.18 ms [2022-04-26 04:51:59 main:574] : INFO : Epoch 1917 | loss: 0.0311672 | val_loss: 0.0311699 | Time: 9809.85 ms [2022-04-26 04:52:09 main:574] : INFO : Epoch 1918 | loss: 0.0311636 | val_loss: 0.0311729 | Time: 10437.3 ms [2022-04-26 04:52:20 main:574] : INFO : Epoch 1919 | loss: 0.0311647 | val_loss: 0.0311709 | Time: 10501.5 ms [2022-04-26 04:52:30 main:574] : INFO : Epoch 1920 | loss: 0.0311632 | val_loss: 0.0311686 | Time: 10411.2 ms [2022-04-26 04:52:41 main:574] : INFO : Epoch 1921 | loss: 0.0311627 | val_loss: 0.0311689 | Time: 10632.8 ms [2022-04-26 04:52:51 main:574] : INFO : Epoch 1922 | loss: 0.0311615 | val_loss: 0.0311703 | Time: 10493.2 ms [2022-04-26 04:53:01 main:574] : INFO : Epoch 1923 | loss: 0.0311617 | val_loss: 0.0311714 | Time: 10265.9 ms [2022-04-26 04:53:12 main:574] : INFO : Epoch 1924 | loss: 0.0311605 | val_loss: 0.031168 | Time: 10384.3 ms [2022-04-26 04:53:22 main:574] : INFO : Epoch 1925 | loss: 0.0311608 | val_loss: 0.0311769 | Time: 9908.73 ms [2022-04-26 04:53:32 main:574] : INFO : Epoch 1926 | loss: 0.0311643 | val_loss: 0.03117 | Time: 10327.9 ms [2022-04-26 04:53:43 main:574] : INFO : Epoch 1927 | loss: 0.031162 | val_loss: 0.031169 | Time: 10963.9 ms [2022-04-26 04:53:54 main:574] : INFO : Epoch 1928 | loss: 0.0311637 | val_loss: 0.0311693 | Time: 10850.2 ms [2022-04-26 04:54:05 main:574] : INFO : Epoch 1929 | loss: 0.0311654 | val_loss: 0.0311691 | Time: 11032.5 ms [2022-04-26 04:54:15 main:574] : INFO : Epoch 1930 | loss: 0.0311642 | val_loss: 0.031168 | Time: 9864.23 ms [2022-04-26 04:54:25 main:574] : INFO : Epoch 1931 | loss: 0.0311632 | val_loss: 0.0311668 | Time: 10427.2 ms [2022-04-26 04:54:36 main:574] : INFO : Epoch 1932 | loss: 0.0311619 | val_loss: 0.0311684 | Time: 10789.8 ms [2022-04-26 04:54:47 main:574] : INFO : Epoch 1933 | loss: 0.0311642 | val_loss: 0.0311672 | Time: 10904.6 ms [2022-04-26 04:54:58 main:574] : INFO : Epoch 1934 | loss: 0.0311615 | val_loss: 0.0311658 | Time: 10961 ms [2022-04-26 04:55:08 main:574] : INFO : Epoch 1935 | loss: 0.0311634 | val_loss: 0.0311684 | Time: 10153.5 ms [2022-04-26 04:55:18 main:574] : INFO : Epoch 1936 | loss: 0.0311622 | val_loss: 0.0311664 | Time: 9455.6 ms [2022-04-26 04:55:27 main:574] : INFO : Epoch 1937 | loss: 0.0311611 | val_loss: 0.0311665 | Time: 9749.56 ms [2022-04-26 04:55:38 main:574] : INFO : Epoch 1938 | loss: 0.0311615 | val_loss: 0.0311666 | Time: 10744.1 ms [2022-04-26 04:55:49 main:574] : INFO : Epoch 1939 | loss: 0.0311605 | val_loss: 0.0311662 | Time: 10849.8 ms [2022-04-26 04:56:00 main:574] : INFO : Epoch 1940 | loss: 0.0311612 | val_loss: 0.0311669 | Time: 10952.6 ms [2022-04-26 04:56:11 main:574] : INFO : Epoch 1941 | loss: 0.0311614 | val_loss: 0.0311651 | Time: 11035.5 ms [2022-04-26 04:56:22 main:574] : INFO : Epoch 1942 | loss: 0.0311602 | val_loss: 0.0311654 | Time: 10979.7 ms [2022-04-26 04:56:33 main:574] : INFO : Epoch 1943 | loss: 0.0311593 | val_loss: 0.0311678 | Time: 10827.8 ms [2022-04-26 04:56:43 main:574] : INFO : Epoch 1944 | loss: 0.0311599 | val_loss: 0.0311678 | Time: 10110.7 ms [2022-04-26 04:56:54 main:574] : INFO : Epoch 1945 | loss: 0.0311602 | val_loss: 0.0311721 | Time: 10751.1 ms [2022-04-26 04:57:05 main:574] : INFO : Epoch 1946 | loss: 0.0311601 | val_loss: 0.0311693 | Time: 10962.4 ms [2022-04-26 04:57:14 main:574] : INFO : Epoch 1947 | loss: 0.0311608 | val_loss: 0.0311657 | Time: 9938.84 ms [2022-04-26 04:57:24 main:574] : INFO : Epoch 1948 | loss: 0.0311618 | val_loss: 0.0311747 | Time: 9838.12 ms [2022-04-26 04:57:34 main:574] : INFO : Epoch 1949 | loss: 0.0312154 | val_loss: 0.0331504 | Time: 9893.61 ms [2022-04-26 04:57:44 main:574] : INFO : Epoch 1950 | loss: 0.036137 | val_loss: 0.0333703 | Time: 9924.47 ms [2022-04-26 04:57:55 main:574] : INFO : Epoch 1951 | loss: 0.03659 | val_loss: 0.0320233 | Time: 10346.2 ms [2022-04-26 04:58:05 main:574] : INFO : Epoch 1952 | loss: 0.031509 | val_loss: 0.0313643 | Time: 10291.2 ms [2022-04-26 04:58:16 main:574] : INFO : Epoch 1953 | loss: 0.0313031 | val_loss: 0.0312706 | Time: 11148 ms [2022-04-26 04:58:26 main:574] : INFO : Epoch 1954 | loss: 0.0312614 | val_loss: 0.0312548 | Time: 10005.3 ms [2022-04-26 04:58:35 main:574] : INFO : Epoch 1955 | loss: 0.0312538 | val_loss: 0.0312529 | Time: 9444.91 ms [2022-04-26 04:58:46 main:574] : INFO : Epoch 1956 | loss: 0.0312518 | val_loss: 0.0312505 | Time: 10525.4 ms [2022-04-26 04:58:56 main:574] : INFO : Epoch 1957 | loss: 0.0312498 | val_loss: 0.0312491 | Time: 9626.01 ms [2022-04-26 04:59:06 main:574] : INFO : Epoch 1958 | loss: 0.0312484 | val_loss: 0.0312475 | Time: 10458 ms [2022-04-26 04:59:17 main:574] : INFO : Epoch 1959 | loss: 0.0312471 | val_loss: 0.0312462 | Time: 10779.9 ms [2022-04-26 04:59:28 main:574] : INFO : Epoch 1960 | loss: 0.0312463 | val_loss: 0.0312462 | Time: 10963.1 ms [2022-04-26 04:59:39 main:574] : INFO : Epoch 1961 | loss: 0.0312447 | val_loss: 0.031243 | Time: 10973.8 ms [2022-04-26 04:59:50 main:574] : INFO : Epoch 1962 | loss: 0.0312425 | val_loss: 0.0312414 | Time: 10879.8 ms [2022-04-26 05:00:01 main:574] : INFO : Epoch 1963 | loss: 0.0312399 | val_loss: 0.0312378 | Time: 10978.7 ms [2022-04-26 05:00:11 main:574] : INFO : Epoch 1964 | loss: 0.0312356 | val_loss: 0.0312336 | Time: 10722.7 ms [2022-04-26 05:00:21 main:574] : INFO : Epoch 1965 | loss: 0.0312303 | val_loss: 0.031228 | Time: 9874.38 ms [2022-04-26 05:00:31 main:574] : INFO : Epoch 1966 | loss: 0.0312251 | val_loss: 0.0312222 | Time: 9445.08 ms [2022-04-26 05:00:40 main:574] : INFO : Epoch 1967 | loss: 0.0312197 | val_loss: 0.0312179 | Time: 9458.24 ms [2022-04-26 05:00:50 main:574] : INFO : Epoch 1968 | loss: 0.0312165 | val_loss: 0.0312147 | Time: 9459.24 ms [2022-04-26 05:00:59 main:574] : INFO : Epoch 1969 | loss: 0.0312137 | val_loss: 0.0312123 | Time: 9591.03 ms [2022-04-26 05:01:09 main:574] : INFO : Epoch 1970 | loss: 0.0312102 | val_loss: 0.0312112 | Time: 9460.94 ms [2022-04-26 05:01:19 main:574] : INFO : Epoch 1971 | loss: 0.0312093 | val_loss: 0.0312095 | Time: 10066.8 ms [2022-04-26 05:01:30 main:574] : INFO : Epoch 1972 | loss: 0.0312084 | val_loss: 0.0312081 | Time: 10907.2 ms [2022-04-26 05:01:41 main:574] : INFO : Epoch 1973 | loss: 0.0312066 | val_loss: 0.0312071 | Time: 10934.1 ms [2022-04-26 05:01:51 main:574] : INFO : Epoch 1974 | loss: 0.0312066 | val_loss: 0.0312099 | Time: 10894.3 ms [2022-04-26 05:02:02 main:574] : INFO : Epoch 1975 | loss: 0.0312085 | val_loss: 0.0312057 | Time: 10991.5 ms [2022-04-26 05:02:13 main:574] : INFO : Epoch 1976 | loss: 0.031205 | val_loss: 0.0312042 | Time: 10662.2 ms [2022-04-26 05:02:24 main:574] : INFO : Epoch 1977 | loss: 0.0312045 | val_loss: 0.0312026 | Time: 10804 ms [2022-04-26 05:02:34 main:574] : INFO : Epoch 1978 | loss: 0.031203 | val_loss: 0.0312049 | Time: 10184.7 ms [2022-04-26 05:02:45 main:574] : INFO : Epoch 1979 | loss: 0.0312023 | val_loss: 0.0312013 | Time: 10957.8 ms [2022-04-26 05:02:56 main:574] : INFO : Epoch 1980 | loss: 0.0312024 | val_loss: 0.0312052 | Time: 10768.3 ms [2022-04-26 05:03:06 main:574] : INFO : Epoch 1981 | loss: 0.0312024 | val_loss: 0.0312018 | Time: 10179.7 ms [2022-04-26 05:03:16 main:574] : INFO : Epoch 1982 | loss: 0.031201 | val_loss: 0.031201 | Time: 10114.9 ms [2022-04-26 05:03:26 main:574] : INFO : Epoch 1983 | loss: 0.0312004 | val_loss: 0.0311983 | Time: 9455.35 ms [2022-04-26 05:03:35 main:574] : INFO : Epoch 1984 | loss: 0.0311991 | val_loss: 0.0312007 | Time: 9783.82 ms [2022-04-26 05:03:46 main:574] : INFO : Epoch 1985 | loss: 0.0312019 | val_loss: 0.0311988 | Time: 10938.3 ms [2022-04-26 05:03:58 main:574] : INFO : Epoch 1986 | loss: 0.0311985 | val_loss: 0.031198 | Time: 11154.2 ms [2022-04-26 05:04:08 main:574] : INFO : Epoch 1987 | loss: 0.0312003 | val_loss: 0.0311972 | Time: 10345.2 ms [2022-04-26 05:04:17 main:574] : INFO : Epoch 1988 | loss: 0.0311984 | val_loss: 0.0311972 | Time: 9495.35 ms [2022-04-26 05:04:28 main:574] : INFO : Epoch 1989 | loss: 0.0311969 | val_loss: 0.0311982 | Time: 10268.5 ms [2022-04-26 05:04:39 main:574] : INFO : Epoch 1990 | loss: 0.0311973 | val_loss: 0.0311949 | Time: 10944.8 ms [2022-04-26 05:04:50 main:574] : INFO : Epoch 1991 | loss: 0.0311955 | val_loss: 0.0311936 | Time: 11103.3 ms [2022-04-26 05:05:01 main:574] : INFO : Epoch 1992 | loss: 0.0311952 | val_loss: 0.0311928 | Time: 10819.6 ms [2022-04-26 05:05:10 main:574] : INFO : Epoch 1993 | loss: 0.0311951 | val_loss: 0.0311947 | Time: 9708.19 ms [2022-04-26 05:05:21 main:574] : INFO : Epoch 1994 | loss: 0.0311958 | val_loss: 0.0311959 | Time: 10547.1 ms [2022-04-26 05:05:32 main:574] : INFO : Epoch 1995 | loss: 0.0311945 | val_loss: 0.0311921 | Time: 10913.3 ms [2022-04-26 05:05:43 main:574] : INFO : Epoch 1996 | loss: 0.0311931 | val_loss: 0.0311922 | Time: 10932.1 ms [2022-04-26 05:05:54 main:574] : INFO : Epoch 1997 | loss: 0.0311928 | val_loss: 0.0311915 | Time: 10917.2 ms [2022-04-26 05:06:04 main:574] : INFO : Epoch 1998 | loss: 0.031193 | val_loss: 0.0311951 | Time: 10368.6 ms [2022-04-26 05:06:14 main:574] : INFO : Epoch 1999 | loss: 0.0311943 | val_loss: 0.0311915 | Time: 9608.73 ms [2022-04-26 05:06:23 main:574] : INFO : Epoch 2000 | loss: 0.0311915 | val_loss: 0.0311907 | Time: 9845.49 ms [2022-04-26 05:06:33 main:574] : INFO : Epoch 2001 | loss: 0.0311942 | val_loss: 0.0311996 | Time: 9913.41 ms [2022-04-26 05:06:43 main:574] : INFO : Epoch 2002 | loss: 0.0311954 | val_loss: 0.0311931 | Time: 9889.93 ms [2022-04-26 05:06:53 main:574] : INFO : Epoch 2003 | loss: 0.0311945 | val_loss: 0.0311936 | Time: 9900.96 ms [2022-04-26 05:07:03 main:574] : INFO : Epoch 2004 | loss: 0.0311916 | val_loss: 0.0311889 | Time: 10000.8 ms [2022-04-26 05:07:13 main:574] : INFO : Epoch 2005 | loss: 0.0311904 | val_loss: 0.0311883 | Time: 9996.2 ms [2022-04-26 05:07:23 main:574] : INFO : Epoch 2006 | loss: 0.0311904 | val_loss: 0.0311877 | Time: 10089.5 ms [2022-04-26 05:07:33 main:574] : INFO : Epoch 2007 | loss: 0.0311938 | val_loss: 0.0311883 | Time: 9801.38 ms [2022-04-26 05:07:43 main:574] : INFO : Epoch 2008 | loss: 0.0311939 | val_loss: 0.0311912 | Time: 10359 ms [2022-04-26 05:07:54 main:574] : INFO : Epoch 2009 | loss: 0.0311933 | val_loss: 0.0311924 | Time: 10970.5 ms [2022-04-26 05:08:05 main:574] : INFO : Epoch 2010 | loss: 0.0311937 | val_loss: 0.0311898 | Time: 10519 ms [2022-04-26 05:08:15 main:574] : INFO : Epoch 2011 | loss: 0.0311954 | val_loss: 0.0311902 | Time: 10119.3 ms [2022-04-26 05:08:26 main:574] : INFO : Epoch 2012 | loss: 0.0311934 | val_loss: 0.0311894 | Time: 11179.8 ms [2022-04-26 05:08:37 main:574] : INFO : Epoch 2013 | loss: 0.0311929 | val_loss: 0.0311924 | Time: 11088.1 ms [2022-04-26 05:08:48 main:574] : INFO : Epoch 2014 | loss: 0.0311939 | val_loss: 0.0311887 | Time: 10910.1 ms [2022-04-26 05:08:59 main:574] : INFO : Epoch 2015 | loss: 0.031195 | val_loss: 0.0311949 | Time: 10939.4 ms [2022-04-26 05:09:10 main:574] : INFO : Epoch 2016 | loss: 0.0311978 | val_loss: 0.031191 | Time: 10813.7 ms [2022-04-26 05:09:20 main:574] : INFO : Epoch 2017 | loss: 0.0311984 | val_loss: 0.03119 | Time: 10449.2 ms [2022-04-26 05:09:30 main:574] : INFO : Epoch 2018 | loss: 0.0311952 | val_loss: 0.0311892 | Time: 9535.35 ms [2022-04-26 05:09:41 main:574] : INFO : Epoch 2019 | loss: 0.0311933 | val_loss: 0.0311884 | Time: 10863.8 ms [2022-04-26 05:09:52 main:574] : INFO : Epoch 2020 | loss: 0.0311925 | val_loss: 0.0311889 | Time: 10858.7 ms [2022-04-26 05:10:03 main:574] : INFO : Epoch 2021 | loss: 0.0311924 | val_loss: 0.0311876 | Time: 11009.4 ms [2022-04-26 05:10:14 main:574] : INFO : Epoch 2022 | loss: 0.0311933 | val_loss: 0.0311932 | Time: 10987.1 ms [2022-04-26 05:10:24 main:574] : INFO : Epoch 2023 | loss: 0.0311916 | val_loss: 0.0311865 | Time: 10022.6 ms [2022-04-26 05:10:33 main:574] : INFO : Epoch 2024 | loss: 0.03119 | val_loss: 0.0311867 | Time: 9752.85 ms [2022-04-26 05:10:43 main:574] : INFO : Epoch 2025 | loss: 0.0311894 | val_loss: 0.0311855 | Time: 9882.13 ms [2022-04-26 05:10:54 main:574] : INFO : Epoch 2026 | loss: 0.0311917 | val_loss: 0.0311876 | Time: 10174.5 ms [2022-04-26 05:11:04 main:574] : INFO : Epoch 2027 | loss: 0.031189 | val_loss: 0.0311839 | Time: 10779.3 ms [2022-04-26 05:11:15 main:574] : INFO : Epoch 2028 | loss: 0.0311873 | val_loss: 0.031184 | Time: 10981.1 ms [2022-04-26 05:11:26 main:574] : INFO : Epoch 2029 | loss: 0.0311879 | val_loss: 0.0311941 | Time: 10888.2 ms [2022-04-26 05:11:37 main:574] : INFO : Epoch 2030 | loss: 0.0311934 | val_loss: 0.0311811 | Time: 11132 ms [2022-04-26 05:11:48 main:574] : INFO : Epoch 2031 | loss: 0.031185 | val_loss: 0.0311812 | Time: 11084.8 ms [2022-04-26 05:11:59 main:574] : INFO : Epoch 2032 | loss: 0.0311847 | val_loss: 0.0311851 | Time: 10777.6 ms [2022-04-26 05:12:10 main:574] : INFO : Epoch 2033 | loss: 0.0311868 | val_loss: 0.0311922 | Time: 10827.5 ms [2022-04-26 05:12:21 main:574] : INFO : Epoch 2034 | loss: 0.0311878 | val_loss: 0.0311879 | Time: 10615.3 ms [2022-04-26 05:12:30 main:574] : INFO : Epoch 2035 | loss: 0.0311889 | val_loss: 0.0311908 | Time: 9552.33 ms [2022-04-26 05:12:40 main:574] : INFO : Epoch 2036 | loss: 0.0311888 | val_loss: 0.0311867 | Time: 9665.81 ms [2022-04-26 05:12:51 main:574] : INFO : Epoch 2037 | loss: 0.0311867 | val_loss: 0.0311855 | Time: 10642.3 ms [2022-04-26 05:13:01 main:574] : INFO : Epoch 2038 | loss: 0.031186 | val_loss: 0.0311852 | Time: 10701 ms [2022-04-26 05:13:11 main:574] : INFO : Epoch 2039 | loss: 0.0311862 | val_loss: 0.0311901 | Time: 9947.4 ms [2022-04-26 05:13:22 main:574] : INFO : Epoch 2040 | loss: 0.0311884 | val_loss: 0.0311897 | Time: 10364 ms [2022-04-26 05:13:32 main:574] : INFO : Epoch 2041 | loss: 0.031186 | val_loss: 0.0311819 | Time: 10433.8 ms [2022-04-26 05:13:42 main:574] : INFO : Epoch 2042 | loss: 0.0311819 | val_loss: 0.0311821 | Time: 9629.42 ms [2022-04-26 05:13:51 main:574] : INFO : Epoch 2043 | loss: 0.031183 | val_loss: 0.031182 | Time: 9591.39 ms [2022-04-26 05:14:02 main:574] : INFO : Epoch 2044 | loss: 0.0311822 | val_loss: 0.0311813 | Time: 10593.4 ms [2022-04-26 05:14:13 main:574] : INFO : Epoch 2045 | loss: 0.0311814 | val_loss: 0.0311812 | Time: 10718 ms [2022-04-26 05:14:22 main:574] : INFO : Epoch 2046 | loss: 0.0311801 | val_loss: 0.0311806 | Time: 9868.72 ms [2022-04-26 05:14:32 main:574] : INFO : Epoch 2047 | loss: 0.03118 | val_loss: 0.0311832 | Time: 9532.57 ms [2022-04-26 05:14:42 main:574] : INFO : Epoch 2048 | loss: 0.0311811 | val_loss: 0.0311804 | Time: 10288.5 ms [2022-04-26 05:14:42 main:597] : INFO : Saving trained model to model-final.pt, val_loss 0.0311804 [2022-04-26 05:14:42 main:603] : INFO : Saving end state to config to file [2022-04-26 05:14:42 main:608] : INFO : Success, exiting.. 05:14:42 (17616): 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)