Task 14627184
| Name | ParityModified-1647048988-11178-2-0_2 |
| Workunit | 11289020 |
| Created | 20 Apr 2022, 16:00:36 UTC |
| Sent | 20 Apr 2022, 16:00:59 UTC |
| Report deadline | 28 Apr 2022, 16:00:59 UTC |
| Received | 20 Apr 2022, 21:41:14 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 18617 |
| Run time | 4 hours 13 min 7 sec |
| CPU time | 1 hours 19 min 8 sec |
| Validate state | Valid |
| Credit | 4,160.00 |
| Device peak FLOPS | 5,307.63 GFLOPS |
| Application version | Machine Learning Dataset Generator (GPU) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 1.62 GB |
| Peak swap size | 3.62 GB |
| Peak disk usage | 1.54 GB |
Stderr output
<core_client_version>7.16.20</core_client_version> <![CDATA[ <stderr_txt> 0 15:49:41 main:574] : INFO : Epoch 1652 | loss: 0.0312446 | val_loss: 0.0312448 | Time: 7380.33 ms [2022-04-20 15:49:48 main:574] : INFO : Epoch 1653 | loss: 0.031245 | val_loss: 0.0312445 | Time: 7211.44 ms [2022-04-20 15:49:55 main:574] : INFO : Epoch 1654 | loss: 0.0312435 | val_loss: 0.0312459 | Time: 7324.6 ms [2022-04-20 15:50:03 main:574] : INFO : Epoch 1655 | loss: 0.0312443 | val_loss: 0.0312446 | Time: 7991.84 ms [2022-04-20 15:50:11 main:574] : INFO : Epoch 1656 | loss: 0.031244 | val_loss: 0.0312463 | Time: 8015.09 ms [2022-04-20 15:50:19 main:574] : INFO : Epoch 1657 | loss: 0.0312447 | val_loss: 0.0312444 | Time: 7320.6 ms [2022-04-20 15:50:26 main:574] : INFO : Epoch 1658 | loss: 0.0312447 | val_loss: 0.0312488 | Time: 7191.89 ms [2022-04-20 15:50:33 main:574] : INFO : Epoch 1659 | loss: 0.0312453 | val_loss: 0.0312467 | Time: 7290.7 ms [2022-04-20 15:50:41 main:574] : INFO : Epoch 1660 | loss: 0.0329313 | val_loss: 0.033584 | Time: 7645.98 ms [2022-04-20 15:50:48 main:574] : INFO : Epoch 1661 | loss: 0.0366535 | val_loss: 0.0323835 | Time: 7322.08 ms [2022-04-20 15:50:55 main:574] : INFO : Epoch 1662 | loss: 0.0319238 | val_loss: 0.0315551 | Time: 7157.82 ms [2022-04-20 15:51:03 main:574] : INFO : Epoch 1663 | loss: 0.0313374 | val_loss: 0.0312825 | Time: 7391.55 ms [2022-04-20 15:51:10 main:574] : INFO : Epoch 1664 | loss: 0.0312629 | val_loss: 0.0312548 | Time: 7185.48 ms [2022-04-20 15:51:17 main:574] : INFO : Epoch 1665 | loss: 0.0312509 | val_loss: 0.0312501 | Time: 7339.44 ms [2022-04-20 15:51:25 main:574] : INFO : Epoch 1666 | loss: 0.0312487 | val_loss: 0.0312487 | Time: 7545.88 ms [2022-04-20 15:51:32 main:574] : INFO : Epoch 1667 | loss: 0.0312476 | val_loss: 0.0312479 | Time: 7609.03 ms [2022-04-20 15:51:40 main:574] : INFO : Epoch 1668 | loss: 0.0312469 | val_loss: 0.0312471 | Time: 7290.34 ms [2022-04-20 15:51:47 main:574] : INFO : Epoch 1669 | loss: 0.0312465 | val_loss: 0.0312471 | Time: 7031.41 ms [2022-04-20 15:51:54 main:574] : INFO : Epoch 1670 | loss: 0.0312465 | val_loss: 0.0312468 | Time: 7153.91 ms [2022-04-20 15:52:01 main:574] : INFO : Epoch 1671 | loss: 0.0312458 | val_loss: 0.0312462 | Time: 7525.32 ms [2022-04-20 15:52:10 main:574] : INFO : Epoch 1672 | loss: 0.0312455 | val_loss: 0.0312458 | Time: 8651.48 ms [2022-04-20 15:52:17 main:574] : INFO : Epoch 1673 | loss: 0.0312453 | val_loss: 0.0312463 | Time: 7219.85 ms [2022-04-20 15:52:25 main:574] : INFO : Epoch 1674 | loss: 0.0312451 | val_loss: 0.0312454 | Time: 7293.34 ms [2022-04-20 15:52:32 main:574] : INFO : Epoch 1675 | loss: 0.0312446 | val_loss: 0.0312452 | Time: 7419.58 ms [2022-04-20 15:52:39 main:574] : INFO : Epoch 1676 | loss: 0.0312446 | val_loss: 0.0312451 | Time: 7235.6 ms [2022-04-20 15:52:47 main:574] : INFO : Epoch 1677 | loss: 0.0312447 | val_loss: 0.0312451 | Time: 7488.64 ms [2022-04-20 15:52:54 main:574] : INFO : Epoch 1678 | loss: 0.0312444 | val_loss: 0.0312459 | Time: 7270.86 ms [2022-04-20 15:53:01 main:574] : INFO : Epoch 1679 | loss: 0.0312443 | val_loss: 0.031245 | Time: 7417.42 ms [2022-04-20 15:53:09 main:574] : INFO : Epoch 1680 | loss: 0.0312441 | val_loss: 0.031245 | Time: 7600.77 ms [2022-04-20 15:53:16 main:574] : INFO : Epoch 1681 | loss: 0.0312441 | val_loss: 0.031245 | Time: 7263.16 ms [2022-04-20 15:53:24 main:574] : INFO : Epoch 1682 | loss: 0.031244 | val_loss: 0.0312449 | Time: 7411.05 ms [2022-04-20 15:53:31 main:574] : INFO : Epoch 1683 | loss: 0.031244 | val_loss: 0.031245 | Time: 7164.84 ms [2022-04-20 15:53:38 main:574] : INFO : Epoch 1684 | loss: 0.0312437 | val_loss: 0.0312448 | Time: 7073.36 ms [2022-04-20 15:53:45 main:574] : INFO : Epoch 1685 | loss: 0.0312436 | val_loss: 0.031245 | Time: 7306.93 ms [2022-04-20 15:53:53 main:574] : INFO : Epoch 1686 | loss: 0.0312437 | val_loss: 0.0312449 | Time: 7268.97 ms [2022-04-20 15:54:00 main:574] : INFO : Epoch 1687 | loss: 0.0312436 | val_loss: 0.0312451 | Time: 7224.71 ms [2022-04-20 15:54:07 main:574] : INFO : Epoch 1688 | loss: 0.0312437 | val_loss: 0.0312448 | Time: 7358.3 ms [2022-04-20 15:54:14 main:574] : INFO : Epoch 1689 | loss: 0.0312437 | val_loss: 0.031245 | Time: 7269.15 ms [2022-04-20 15:54:22 main:574] : INFO : Epoch 1690 | loss: 0.0312439 | val_loss: 0.0312446 | Time: 7379.09 ms [2022-04-20 15:54:30 main:574] : INFO : Epoch 1691 | loss: 0.0312438 | val_loss: 0.0312449 | Time: 7685.1 ms [2022-04-20 15:54:37 main:574] : INFO : Epoch 1692 | loss: 0.031244 | val_loss: 0.0312448 | Time: 7142.81 ms [2022-04-20 15:54:44 main:574] : INFO : Epoch 1693 | loss: 0.0312449 | val_loss: 0.0312451 | Time: 7348.22 ms [2022-04-20 15:54:51 main:574] : INFO : Epoch 1694 | loss: 0.0312441 | val_loss: 0.0312453 | Time: 7287.31 ms [2022-04-20 15:54:59 main:574] : INFO : Epoch 1695 | loss: 0.0312443 | val_loss: 0.0312453 | Time: 7450.46 ms [2022-04-20 15:55:06 main:574] : INFO : Epoch 1696 | loss: 0.0312437 | val_loss: 0.0312446 | Time: 7320.42 ms [2022-04-20 15:55:13 main:574] : INFO : Epoch 1697 | loss: 0.0312437 | val_loss: 0.0312455 | Time: 7316.65 ms [2022-04-20 15:55:21 main:574] : INFO : Epoch 1698 | loss: 0.031244 | val_loss: 0.0312452 | Time: 7231.95 ms [2022-04-20 15:55:28 main:574] : INFO : Epoch 1699 | loss: 0.0312436 | val_loss: 0.0312448 | Time: 7347.92 ms [2022-04-20 15:55:35 main:574] : INFO : Epoch 1700 | loss: 0.031244 | val_loss: 0.0312446 | Time: 7207.57 ms [2022-04-20 15:55:43 main:574] : INFO : Epoch 1701 | loss: 0.0312435 | val_loss: 0.0312456 | Time: 7467.21 ms [2022-04-20 15:55:50 main:574] : INFO : Epoch 1702 | loss: 0.0312439 | val_loss: 0.0312448 | Time: 7344.05 ms [2022-04-20 15:55:58 main:574] : INFO : Epoch 1703 | loss: 0.0312439 | val_loss: 0.031246 | Time: 7450.44 ms [2022-04-20 15:56:05 main:574] : INFO : Epoch 1704 | loss: 0.0312438 | val_loss: 0.0312451 | Time: 7362.53 ms [2022-04-20 15:56:12 main:574] : INFO : Epoch 1705 | loss: 0.031244 | val_loss: 0.0312458 | Time: 7260.79 ms [2022-04-20 15:56:20 main:574] : INFO : Epoch 1706 | loss: 0.0312437 | val_loss: 0.0312446 | Time: 7557.88 ms [2022-04-20 15:56:27 main:574] : INFO : Epoch 1707 | loss: 0.0312436 | val_loss: 0.0312446 | Time: 7365.16 ms [2022-04-20 15:56:35 main:574] : INFO : Epoch 1708 | loss: 0.0312435 | val_loss: 0.0312449 | Time: 7474.53 ms [2022-04-20 15:56:42 main:574] : INFO : Epoch 1709 | loss: 0.0312436 | val_loss: 0.0312448 | Time: 7362.26 ms [2022-04-20 15:56:49 main:574] : INFO : Epoch 1710 | loss: 0.0312438 | val_loss: 0.0312449 | Time: 7263.57 ms [2022-04-20 15:56:57 main:574] : INFO : Epoch 1711 | loss: 0.0312435 | val_loss: 0.0312449 | Time: 7350.62 ms [2022-04-20 15:57:04 main:574] : INFO : Epoch 1712 | loss: 0.0312434 | val_loss: 0.0312449 | Time: 7190.36 ms [2022-04-20 15:57:11 main:574] : INFO : Epoch 1713 | loss: 0.0312437 | val_loss: 0.0312449 | Time: 7286.52 ms [2022-04-20 15:57:18 main:574] : INFO : Epoch 1714 | loss: 0.0312443 | val_loss: 0.0312446 | Time: 7265.08 ms [2022-04-20 15:57:26 main:574] : INFO : Epoch 1715 | loss: 0.0312439 | val_loss: 0.0312447 | Time: 7532.88 ms [2022-04-20 15:57:33 main:574] : INFO : Epoch 1716 | loss: 0.0312436 | val_loss: 0.0312449 | Time: 7330.71 ms [2022-04-20 15:57:41 main:574] : INFO : Epoch 1717 | loss: 0.0312434 | val_loss: 0.0312451 | Time: 7335.14 ms [2022-04-20 15:57:48 main:574] : INFO : Epoch 1718 | loss: 0.0312437 | val_loss: 0.0312445 | Time: 7112.09 ms [2022-04-20 15:57:55 main:574] : INFO : Epoch 1719 | loss: 0.0312434 | val_loss: 0.0312447 | Time: 7262.02 ms [2022-04-20 15:58:02 main:574] : INFO : Epoch 1720 | loss: 0.0312436 | val_loss: 0.0312456 | Time: 7410.75 ms [2022-04-20 15:58:10 main:574] : INFO : Epoch 1721 | loss: 0.0312443 | val_loss: 0.0312446 | Time: 7511.09 ms [2022-04-20 15:58:17 main:574] : INFO : Epoch 1722 | loss: 0.031244 | val_loss: 0.0312445 | Time: 7315.24 ms [2022-04-20 15:58:24 main:574] : INFO : Epoch 1723 | loss: 0.0312435 | val_loss: 0.0312446 | Time: 7267.07 ms [2022-04-20 15:58:32 main:574] : INFO : Epoch 1724 | loss: 0.0312438 | val_loss: 0.0312449 | Time: 7478.38 ms [2022-04-20 15:58:39 main:574] : INFO : Epoch 1725 | loss: 0.0312436 | val_loss: 0.031245 | Time: 7265.82 ms [2022-04-20 15:58:47 main:574] : INFO : Epoch 1726 | loss: 0.0312441 | val_loss: 0.0312454 | Time: 7368.24 ms [2022-04-20 15:58:54 main:574] : INFO : Epoch 1727 | loss: 0.0312436 | val_loss: 0.0312446 | Time: 7248.54 ms [2022-04-20 15:59:01 main:574] : INFO : Epoch 1728 | loss: 0.0312435 | val_loss: 0.031245 | Time: 7418.34 ms [2022-04-20 15:59:08 main:574] : INFO : Epoch 1729 | loss: 0.0312436 | val_loss: 0.0312458 | Time: 7126.49 ms [2022-04-20 15:59:16 main:574] : INFO : Epoch 1730 | loss: 0.0312438 | val_loss: 0.0312448 | Time: 7329.6 ms [2022-04-20 15:59:23 main:574] : INFO : Epoch 1731 | loss: 0.0312437 | val_loss: 0.0312446 | Time: 7525.46 ms [2022-04-20 15:59:30 main:574] : INFO : Epoch 1732 | loss: 0.0312435 | val_loss: 0.0312451 | Time: 7206.06 ms [2022-04-20 15:59:38 main:574] : INFO : Epoch 1733 | loss: 0.0312437 | val_loss: 0.0312446 | Time: 7321.05 ms [2022-04-20 15:59:45 main:574] : INFO : Epoch 1734 | loss: 0.0312437 | val_loss: 0.0312447 | Time: 7560.22 ms [2022-04-20 15:59:53 main:574] : INFO : Epoch 1735 | loss: 0.0312439 | val_loss: 0.0312455 | Time: 7854.69 ms [2022-04-20 16:00:01 main:574] : INFO : Epoch 1736 | loss: 0.0312438 | val_loss: 0.0312447 | Time: 7347.21 ms [2022-04-20 16:00:08 main:574] : INFO : Epoch 1737 | loss: 0.0312444 | val_loss: 0.0312451 | Time: 7502.96 ms [2022-04-20 16:00:15 main:574] : INFO : Epoch 1738 | loss: 0.031244 | val_loss: 0.0312475 | Time: 7378.58 ms [2022-04-20 16:00:23 main:574] : INFO : Epoch 1739 | loss: 0.031244 | val_loss: 0.0312449 | Time: 7123.39 ms [2022-04-20 16:00:30 main:574] : INFO : Epoch 1740 | loss: 0.0312436 | val_loss: 0.0312459 | Time: 7132.92 ms [2022-04-20 16:00:37 main:574] : INFO : Epoch 1741 | loss: 0.0312437 | val_loss: 0.0312444 | Time: 7386.41 ms [2022-04-20 16:00:45 main:574] : INFO : Epoch 1742 | loss: 0.0312434 | val_loss: 0.0312446 | Time: 7407.68 ms [2022-04-20 16:00:52 main:574] : INFO : Epoch 1743 | loss: 0.0312435 | val_loss: 0.0312452 | Time: 7352.15 ms [2022-04-20 16:00:59 main:574] : INFO : Epoch 1744 | loss: 0.0312437 | val_loss: 0.0312448 | Time: 7221.33 ms [2022-04-20 16:01:07 main:574] : INFO : Epoch 1745 | loss: 0.0312435 | val_loss: 0.0312445 | Time: 7347.77 ms [2022-04-20 16:01:14 main:574] : INFO : Epoch 1746 | loss: 0.0312436 | val_loss: 0.0312458 | Time: 7176.47 ms [2022-04-20 16:01:21 main:574] : INFO : Epoch 1747 | loss: 0.0312438 | val_loss: 0.0312445 | Time: 7433.06 ms [2022-04-20 16:01:29 main:574] : INFO : Epoch 1748 | loss: 0.0312436 | val_loss: 0.0312447 | Time: 7548.88 ms [2022-04-20 16:01:36 main:574] : INFO : Epoch 1749 | loss: 0.0312435 | val_loss: 0.0312445 | Time: 7418.65 ms [2022-04-20 16:01:43 main:574] : INFO : Epoch 1750 | loss: 0.0312442 | val_loss: 0.0312452 | Time: 7358.47 ms [2022-04-20 16:01:51 main:574] : INFO : Epoch 1751 | loss: 0.0312444 | val_loss: 0.0312444 | Time: 7394.23 ms [2022-04-20 16:01:58 main:574] : INFO : Epoch 1752 | loss: 0.0312442 | val_loss: 0.0312459 | Time: 7603.72 ms [2022-04-20 16:02:06 main:574] : INFO : Epoch 1753 | loss: 0.0312437 | val_loss: 0.0312454 | Time: 7140.64 ms [2022-04-20 16:02:13 main:574] : INFO : Epoch 1754 | loss: 0.0312439 | val_loss: 0.0312449 | Time: 7588.59 ms [2022-04-20 16:02:20 main:574] : INFO : Epoch 1755 | loss: 0.0312436 | val_loss: 0.0312445 | Time: 7155.01 ms [2022-04-20 16:02:28 main:574] : INFO : Epoch 1756 | loss: 0.0312437 | val_loss: 0.031246 | Time: 7422.85 ms [2022-04-20 16:02:36 main:574] : INFO : Epoch 1757 | loss: 0.0312441 | val_loss: 0.0312457 | Time: 7698.79 ms [2022-04-20 16:02:44 main:574] : INFO : Epoch 1758 | loss: 0.0312441 | val_loss: 0.0312449 | Time: 7967.85 ms [2022-04-20 16:02:51 main:574] : INFO : Epoch 1759 | loss: 0.0312442 | val_loss: 0.0312451 | Time: 7300.24 ms [2022-04-20 16:02:58 main:574] : INFO : Epoch 1760 | loss: 0.031244 | val_loss: 0.0312447 | Time: 7223.27 ms [2022-04-20 16:03:05 main:574] : INFO : Epoch 1761 | loss: 0.0312439 | val_loss: 0.0312457 | Time: 7316.22 ms [2022-04-20 16:03:13 main:574] : INFO : Epoch 1762 | loss: 0.031244 | val_loss: 0.0312446 | Time: 7497.53 ms [2022-04-20 16:03:20 main:574] : INFO : Epoch 1763 | loss: 0.0312436 | val_loss: 0.0312459 | Time: 7491.35 ms [2022-04-20 16:03:28 main:574] : INFO : Epoch 1764 | loss: 0.0312439 | val_loss: 0.0312453 | Time: 7423.16 ms [2022-04-20 16:03:35 main:574] : INFO : Epoch 1765 | loss: 0.0312444 | val_loss: 0.0312452 | Time: 7224.89 ms [2022-04-20 16:03:42 main:574] : INFO : Epoch 1766 | loss: 0.0312437 | val_loss: 0.0312445 | Time: 7184.66 ms [2022-04-20 16:03:49 main:574] : INFO : Epoch 1767 | loss: 0.0312438 | val_loss: 0.0312447 | Time: 7185.4 ms [2022-04-20 16:03:57 main:574] : INFO : Epoch 1768 | loss: 0.0312438 | val_loss: 0.0312449 | Time: 7234.47 ms [2022-04-20 16:04:04 main:574] : INFO : Epoch 1769 | loss: 0.0312436 | val_loss: 0.0312466 | Time: 7260.51 ms [2022-04-20 16:04:11 main:574] : INFO : Epoch 1770 | loss: 0.031245 | val_loss: 0.0312462 | Time: 7177.55 ms [2022-04-20 16:04:18 main:574] : INFO : Epoch 1771 | loss: 0.0312453 | val_loss: 0.0312447 | Time: 7193.38 ms [2022-04-20 16:04:25 main:574] : INFO : Epoch 1772 | loss: 0.0312443 | val_loss: 0.0312444 | Time: 7102.61 ms [2022-04-20 16:04:33 main:574] : INFO : Epoch 1773 | loss: 0.0312434 | val_loss: 0.0312458 | Time: 7254.09 ms [2022-04-20 16:04:40 main:574] : INFO : Epoch 1774 | loss: 0.0312435 | val_loss: 0.0312445 | Time: 7342.11 ms [2022-04-20 16:04:47 main:574] : INFO : Epoch 1775 | loss: 0.0312436 | val_loss: 0.0312444 | Time: 7280.19 ms [2022-04-20 16:04:55 main:574] : INFO : Epoch 1776 | loss: 0.0312439 | val_loss: 0.0312453 | Time: 7518.72 ms [2022-04-20 16:05:02 main:574] : INFO : Epoch 1777 | loss: 0.0312442 | val_loss: 0.0312453 | Time: 7454.18 ms [2022-04-20 16:05:10 main:574] : INFO : Epoch 1778 | loss: 0.0312439 | val_loss: 0.0312444 | Time: 7652.04 ms [2022-04-20 16:05:17 main:574] : INFO : Epoch 1779 | loss: 0.0312433 | val_loss: 0.0312443 | Time: 7295.05 ms [2022-04-20 16:05:24 main:574] : INFO : Epoch 1780 | loss: 0.0312437 | val_loss: 0.0312466 | Time: 7167.3 ms [2022-04-20 16:05:32 main:574] : INFO : Epoch 1781 | loss: 0.0312444 | val_loss: 0.0312444 | Time: 7231.45 ms [2022-04-20 16:05:39 main:574] : INFO : Epoch 1782 | loss: 0.0312437 | val_loss: 0.031245 | Time: 7330.81 ms [2022-04-20 16:05:46 main:574] : INFO : Epoch 1783 | loss: 0.0312433 | val_loss: 0.0312444 | Time: 7319.58 ms [2022-04-20 16:05:54 main:574] : INFO : Epoch 1784 | loss: 0.0312434 | val_loss: 0.0312458 | Time: 7532.95 ms [2022-04-20 16:06:01 main:574] : INFO : Epoch 1785 | loss: 0.0312444 | val_loss: 0.0312455 | Time: 7213.73 ms [2022-04-20 16:06:08 main:574] : INFO : Epoch 1786 | loss: 0.0312444 | val_loss: 0.0312459 | Time: 7389.5 ms [2022-04-20 16:06:16 main:574] : INFO : Epoch 1787 | loss: 0.0312438 | val_loss: 0.031245 | Time: 7345.12 ms [2022-04-20 16:06:23 main:574] : INFO : Epoch 1788 | loss: 0.0312437 | val_loss: 0.031245 | Time: 7183.85 ms [2022-04-20 16:06:30 main:574] : INFO : Epoch 1789 | loss: 0.0312437 | val_loss: 0.0312461 | Time: 7129.29 ms [2022-04-20 16:06:37 main:574] : INFO : Epoch 1790 | loss: 0.0312443 | val_loss: 0.0312458 | Time: 7331.06 ms [2022-04-20 16:06:46 main:574] : INFO : Epoch 1791 | loss: 0.0312438 | val_loss: 0.0312454 | Time: 8070.5 ms [2022-04-20 16:06:54 main:574] : INFO : Epoch 1792 | loss: 0.0312433 | val_loss: 0.031245 | Time: 8330.93 ms [2022-04-20 16:07:01 main:574] : INFO : Epoch 1793 | loss: 0.0312439 | val_loss: 0.0312457 | Time: 7244.94 ms [2022-04-20 16:07:09 main:574] : INFO : Epoch 1794 | loss: 0.0312438 | val_loss: 0.0312444 | Time: 7393.41 ms [2022-04-20 16:07:16 main:574] : INFO : Epoch 1795 | loss: 0.0312453 | val_loss: 0.0312494 | Time: 7273.57 ms [2022-04-20 16:07:23 main:574] : INFO : Epoch 1796 | loss: 0.031246 | val_loss: 0.0312448 | Time: 7208.85 ms [2022-04-20 16:07:30 main:574] : INFO : Epoch 1797 | loss: 0.0312445 | val_loss: 0.0312457 | Time: 7338.13 ms [2022-04-20 16:07:38 main:574] : INFO : Epoch 1798 | loss: 0.0312435 | val_loss: 0.0312445 | Time: 7251.88 ms [2022-04-20 16:07:45 main:574] : INFO : Epoch 1799 | loss: 0.0312441 | val_loss: 0.0312459 | Time: 7325.81 ms [2022-04-20 16:07:52 main:574] : INFO : Epoch 1800 | loss: 0.0312438 | val_loss: 0.0312457 | Time: 7236.24 ms [2022-04-20 16:08:00 main:574] : INFO : Epoch 1801 | loss: 0.0312439 | val_loss: 0.0312451 | Time: 7468.77 ms [2022-04-20 16:08:07 main:574] : INFO : Epoch 1802 | loss: 0.0312437 | val_loss: 0.0312452 | Time: 7312.82 ms [2022-04-20 16:08:14 main:574] : INFO : Epoch 1803 | loss: 0.0312439 | val_loss: 0.0312451 | Time: 7468.86 ms [2022-04-20 16:08:22 main:574] : INFO : Epoch 1804 | loss: 0.0312441 | val_loss: 0.0312445 | Time: 7420.11 ms [2022-04-20 16:08:29 main:574] : INFO : Epoch 1805 | loss: 0.0312452 | val_loss: 0.0312459 | Time: 7301.54 ms [2022-04-20 16:08:37 main:574] : INFO : Epoch 1806 | loss: 0.031247 | val_loss: 0.0312475 | Time: 7379.64 ms [2022-04-20 16:08:44 main:574] : INFO : Epoch 1807 | loss: 0.0312457 | val_loss: 0.0312469 | Time: 7320.64 ms [2022-04-20 16:08:51 main:574] : INFO : Epoch 1808 | loss: 0.0312458 | val_loss: 0.0312455 | Time: 7370.16 ms [2022-04-20 16:08:59 main:574] : INFO : Epoch 1809 | loss: 0.0312448 | val_loss: 0.0312451 | Time: 7363.72 ms [2022-04-20 16:09:06 main:574] : INFO : Epoch 1810 | loss: 0.031244 | val_loss: 0.031245 | Time: 7577.03 ms [2022-04-20 16:09:14 main:574] : INFO : Epoch 1811 | loss: 0.0312437 | val_loss: 0.0312449 | Time: 7624.12 ms [2022-04-20 16:09:21 main:574] : INFO : Epoch 1812 | loss: 0.0312437 | val_loss: 0.0312445 | Time: 7353.89 ms [2022-04-20 16:09:29 main:574] : INFO : Epoch 1813 | loss: 0.0312436 | val_loss: 0.0312447 | Time: 7332.5 ms [2022-04-20 16:09:36 main:574] : INFO : Epoch 1814 | loss: 0.031244 | val_loss: 0.0312463 | Time: 7291.06 ms [2022-04-20 16:09:43 main:574] : INFO : Epoch 1815 | loss: 0.0312447 | val_loss: 0.0312452 | Time: 7393.92 ms [2022-04-20 16:09:51 main:574] : INFO : Epoch 1816 | loss: 0.0312446 | val_loss: 0.031248 | Time: 7607.7 ms [2022-04-20 16:09:59 main:574] : INFO : Epoch 1817 | loss: 0.0312448 | val_loss: 0.031245 | Time: 7640.42 ms [2022-04-20 16:10:06 main:574] : INFO : Epoch 1818 | loss: 0.0312446 | val_loss: 0.0312483 | Time: 7349.42 ms [2022-04-20 16:10:13 main:574] : INFO : Epoch 1819 | loss: 0.0312447 | val_loss: 0.0312447 | Time: 7330.06 ms [2022-04-20 16:10:21 main:574] : INFO : Epoch 1820 | loss: 0.0312446 | val_loss: 0.0312447 | Time: 7434.69 ms [2022-04-20 16:10:29 main:574] : INFO : Epoch 1821 | loss: 0.0312443 | val_loss: 0.0312454 | Time: 7969.71 ms [2022-04-20 16:10:36 main:574] : INFO : Epoch 1822 | loss: 0.0312442 | val_loss: 0.0312447 | Time: 7457.65 ms [2022-04-20 16:10:44 main:574] : INFO : Epoch 1823 | loss: 0.0312442 | val_loss: 0.031245 | Time: 7505.64 ms [2022-04-20 16:10:51 main:574] : INFO : Epoch 1824 | loss: 0.0312437 | val_loss: 0.0312455 | Time: 7451.6 ms [2022-04-20 16:10:58 main:574] : INFO : Epoch 1825 | loss: 0.0312435 | val_loss: 0.0312452 | Time: 7322.87 ms [2022-04-20 16:11:06 main:574] : INFO : Epoch 1826 | loss: 0.0312444 | val_loss: 0.0312459 | Time: 7187.36 ms [2022-04-20 16:11:13 main:574] : INFO : Epoch 1827 | loss: 0.0312443 | val_loss: 0.0312479 | Time: 7340.31 ms [2022-04-20 16:11:20 main:574] : INFO : Epoch 1828 | loss: 0.0312444 | val_loss: 0.0312454 | Time: 7334.87 ms [2022-04-20 16:11:28 main:574] : INFO : Epoch 1829 | loss: 0.0312439 | val_loss: 0.0312465 | Time: 7464.23 ms [2022-04-20 16:11:35 main:574] : INFO : Epoch 1830 | loss: 0.0312444 | val_loss: 0.0312444 | Time: 7555.88 ms [2022-04-20 16:11:43 main:574] : INFO : Epoch 1831 | loss: 0.0312434 | val_loss: 0.0312446 | Time: 7310.26 ms [2022-04-20 16:11:50 main:574] : INFO : Epoch 1832 | loss: 0.0312444 | val_loss: 0.0312443 | Time: 7387.52 ms [2022-04-20 16:11:58 main:574] : INFO : Epoch 1833 | loss: 0.0312451 | val_loss: 0.0312453 | Time: 7576.9 ms [2022-04-20 16:12:05 main:574] : INFO : Epoch 1834 | loss: 0.0312453 | val_loss: 0.0312449 | Time: 7259.1 ms [2022-04-20 16:12:12 main:574] : INFO : Epoch 1835 | loss: 0.0312444 | val_loss: 0.0312458 | Time: 7093.62 ms [2022-04-20 16:12:19 main:574] : INFO : Epoch 1836 | loss: 0.0312444 | val_loss: 0.0312463 | Time: 7406.86 ms [2022-04-20 16:12:27 main:574] : INFO : Epoch 1837 | loss: 0.0312452 | val_loss: 0.0312468 | Time: 7417.52 ms [2022-04-20 16:12:34 main:574] : INFO : Epoch 1838 | loss: 0.0312446 | val_loss: 0.0312452 | Time: 7231.96 ms [2022-04-20 16:12:41 main:574] : INFO : Epoch 1839 | loss: 0.0312441 | val_loss: 0.0312448 | Time: 7109.72 ms [2022-04-20 16:12:49 main:574] : INFO : Epoch 1840 | loss: 0.0312437 | val_loss: 0.0312456 | Time: 7565.82 ms [2022-04-20 16:12:56 main:574] : INFO : Epoch 1841 | loss: 0.031245 | val_loss: 0.0312454 | Time: 7241.46 ms [2022-04-20 16:13:03 main:574] : INFO : Epoch 1842 | loss: 0.0312443 | val_loss: 0.0312447 | Time: 7387.49 ms [2022-04-20 16:13:12 main:574] : INFO : Epoch 1843 | loss: 0.0312437 | val_loss: 0.0312481 | Time: 8210.16 ms [2022-04-20 16:13:21 main:574] : INFO : Epoch 1844 | loss: 0.0312456 | val_loss: 0.0312454 | Time: 9029.99 ms [2022-04-20 16:13:28 main:574] : INFO : Epoch 1845 | loss: 0.0312438 | val_loss: 0.0312444 | Time: 7431.33 ms [2022-04-20 16:13:36 main:574] : INFO : Epoch 1846 | loss: 0.0312451 | val_loss: 0.0312457 | Time: 7497.87 ms [2022-04-20 16:13:43 main:574] : INFO : Epoch 1847 | loss: 0.031244 | val_loss: 0.0312464 | Time: 7386.58 ms [2022-04-20 16:13:50 main:574] : INFO : Epoch 1848 | loss: 0.0312449 | val_loss: 0.031247 | Time: 7446.81 ms [2022-04-20 16:13:58 main:574] : INFO : Epoch 1849 | loss: 0.0312446 | val_loss: 0.0312449 | Time: 7354.61 ms [2022-04-20 16:14:06 main:574] : INFO : Epoch 1850 | loss: 0.0312441 | val_loss: 0.031245 | Time: 7998 ms [2022-04-20 16:14:13 main:574] : INFO : Epoch 1851 | loss: 0.0312438 | val_loss: 0.0312455 | Time: 7292.06 ms [2022-04-20 16:14:21 main:574] : INFO : Epoch 1852 | loss: 0.0312448 | val_loss: 0.0312467 | Time: 8251.66 ms [2022-04-20 16:14:29 main:574] : INFO : Epoch 1853 | loss: 0.0312441 | val_loss: 0.0312447 | Time: 7333.42 ms [2022-04-20 16:14:36 main:574] : INFO : Epoch 1854 | loss: 0.031244 | val_loss: 0.0312456 | Time: 7320.28 ms [2022-04-20 16:14:43 main:574] : INFO : Epoch 1855 | loss: 0.0312442 | val_loss: 0.0312443 | Time: 7304.33 ms [2022-04-20 16:14:51 main:574] : INFO : Epoch 1856 | loss: 0.0312445 | val_loss: 0.0312456 | Time: 7350.71 ms [2022-04-20 16:14:58 main:574] : INFO : Epoch 1857 | loss: 0.0312444 | val_loss: 0.0312496 | Time: 7661.3 ms [2022-04-20 16:15:06 main:574] : INFO : Epoch 1858 | loss: 0.0312449 | val_loss: 0.0312456 | Time: 7706.6 ms [2022-04-20 16:15:13 main:574] : INFO : Epoch 1859 | loss: 0.031244 | val_loss: 0.0312445 | Time: 7363.8 ms [2022-04-20 16:15:21 main:574] : INFO : Epoch 1860 | loss: 0.0312436 | val_loss: 0.0312445 | Time: 7380.21 ms [2022-04-20 16:15:28 main:574] : INFO : Epoch 1861 | loss: 0.031244 | val_loss: 0.0312462 | Time: 7321.01 ms [2022-04-20 16:15:36 main:574] : INFO : Epoch 1862 | loss: 0.0312444 | val_loss: 0.0312464 | Time: 7606.22 ms [2022-04-20 16:15:43 main:574] : INFO : Epoch 1863 | loss: 0.0312443 | val_loss: 0.0312472 | Time: 7352.41 ms [2022-04-20 16:15:51 main:574] : INFO : Epoch 1864 | loss: 0.0312441 | val_loss: 0.0312453 | Time: 7523.3 ms [2022-04-20 16:15:58 main:574] : INFO : Epoch 1865 | loss: 0.0312441 | val_loss: 0.0312465 | Time: 7351.7 ms [2022-04-20 16:16:06 main:574] : INFO : Epoch 1866 | loss: 0.0312438 | val_loss: 0.0312453 | Time: 7865.57 ms [2022-04-20 16:16:13 main:574] : INFO : Epoch 1867 | loss: 0.0312441 | val_loss: 0.0312475 | Time: 7465.65 ms [2022-04-20 16:16:21 main:574] : INFO : Epoch 1868 | loss: 0.0312451 | val_loss: 0.0312452 | Time: 7351.86 ms [2022-04-20 16:16:28 main:574] : INFO : Epoch 1869 | loss: 0.0312459 | val_loss: 0.031247 | Time: 7411.31 ms [2022-04-20 16:16:35 main:574] : INFO : Epoch 1870 | loss: 0.0312463 | val_loss: 0.0312469 | Time: 7255.81 ms [2022-04-20 16:16:43 main:574] : INFO : Epoch 1871 | loss: 0.0312456 | val_loss: 0.0312487 | Time: 7238.55 ms [2022-04-20 16:16:50 main:574] : INFO : Epoch 1872 | loss: 0.0312443 | val_loss: 0.0312478 | Time: 7385.67 ms [2022-04-20 16:16:57 main:574] : INFO : Epoch 1873 | loss: 0.0312444 | val_loss: 0.0312447 | Time: 7364.77 ms [2022-04-20 16:17:05 main:574] : INFO : Epoch 1874 | loss: 0.0312452 | val_loss: 0.0312484 | Time: 7359.52 ms [2022-04-20 16:17:12 main:574] : INFO : Epoch 1875 | loss: 0.0312459 | val_loss: 0.0312464 | Time: 7605.59 ms [2022-04-20 16:17:20 main:574] : INFO : Epoch 1876 | loss: 0.031247 | val_loss: 0.0312489 | Time: 7387.14 ms [2022-04-20 16:17:27 main:574] : INFO : Epoch 1877 | loss: 0.0312456 | val_loss: 0.0312458 | Time: 7256.43 ms [2022-04-20 16:17:34 main:574] : INFO : Epoch 1878 | loss: 0.0312444 | val_loss: 0.0312468 | Time: 7445.69 ms [2022-04-20 16:17:42 main:574] : INFO : Epoch 1879 | loss: 0.0312444 | val_loss: 0.0312448 | Time: 7235.79 ms [2022-04-20 16:17:49 main:574] : INFO : Epoch 1880 | loss: 0.0312449 | val_loss: 0.0312445 | Time: 7085.95 ms [2022-04-20 16:17:56 main:574] : INFO : Epoch 1881 | loss: 0.0312441 | val_loss: 0.0312467 | Time: 7546.54 ms [2022-04-20 16:18:04 main:574] : INFO : Epoch 1882 | loss: 0.0312445 | val_loss: 0.031246 | Time: 7501.17 ms [2022-04-20 16:18:11 main:574] : INFO : Epoch 1883 | loss: 0.0312441 | val_loss: 0.0312447 | Time: 7267.94 ms [2022-04-20 16:18:18 main:574] : INFO : Epoch 1884 | loss: 0.0312442 | val_loss: 0.0312446 | Time: 7346.86 ms [2022-04-20 16:18:26 main:574] : INFO : Epoch 1885 | loss: 0.031244 | val_loss: 0.0312453 | Time: 7185.33 ms [2022-04-20 16:18:33 main:574] : INFO : Epoch 1886 | loss: 0.0312461 | val_loss: 0.0312467 | Time: 7742.84 ms [2022-04-20 16:18:41 main:574] : INFO : Epoch 1887 | loss: 0.0312463 | val_loss: 0.0312449 | Time: 7471.34 ms [2022-04-20 16:18:49 main:574] : INFO : Epoch 1888 | loss: 0.0312441 | val_loss: 0.0312465 | Time: 7767.94 ms [2022-04-20 16:18:56 main:574] : INFO : Epoch 1889 | loss: 0.0312456 | val_loss: 0.0312457 | Time: 7294.85 ms [2022-04-20 16:19:03 main:574] : INFO : Epoch 1890 | loss: 0.0312448 | val_loss: 0.0312458 | Time: 7251.41 ms [2022-04-20 16:19:11 main:574] : INFO : Epoch 1891 | loss: 0.0312464 | val_loss: 0.0312478 | Time: 7530.12 ms [2022-04-20 16:19:18 main:574] : INFO : Epoch 1892 | loss: 0.0312451 | val_loss: 0.0312469 | Time: 7307.78 ms [2022-04-20 16:19:25 main:574] : INFO : Epoch 1893 | loss: 0.0312445 | val_loss: 0.0312451 | Time: 7026.27 ms [2022-04-20 16:19:33 main:574] : INFO : Epoch 1894 | loss: 0.0312443 | val_loss: 0.0312463 | Time: 7599.97 ms [2022-04-20 16:19:40 main:574] : INFO : Epoch 1895 | loss: 0.0312447 | val_loss: 0.0312448 | Time: 7246.88 ms [2022-04-20 16:19:48 main:574] : INFO : Epoch 1896 | loss: 0.0312451 | val_loss: 0.0312447 | Time: 7838.46 ms [2022-04-20 16:19:55 main:574] : INFO : Epoch 1897 | loss: 0.0312435 | val_loss: 0.0312443 | Time: 7484.86 ms [2022-04-20 16:20:03 main:574] : INFO : Epoch 1898 | loss: 0.031245 | val_loss: 0.0312462 | Time: 7260.31 ms [2022-04-20 16:20:10 main:574] : INFO : Epoch 1899 | loss: 0.0312448 | val_loss: 0.0312446 | Time: 7171.94 ms [2022-04-20 16:20:17 main:574] : INFO : Epoch 1900 | loss: 0.0312442 | val_loss: 0.0312452 | Time: 7447.27 ms [2022-04-20 16:20:24 main:574] : INFO : Epoch 1901 | loss: 0.0312446 | val_loss: 0.0312446 | Time: 7259.19 ms [2022-04-20 16:20:32 main:574] : INFO : Epoch 1902 | loss: 0.0312438 | val_loss: 0.0312467 | Time: 7377.29 ms [2022-04-20 16:20:39 main:574] : INFO : Epoch 1903 | loss: 0.0312449 | val_loss: 0.0312478 | Time: 7526.45 ms [2022-04-20 16:20:47 main:574] : INFO : Epoch 1904 | loss: 0.0312444 | val_loss: 0.0312453 | Time: 7542.66 ms [2022-04-20 16:20:54 main:574] : INFO : Epoch 1905 | loss: 0.031245 | val_loss: 0.0312513 | Time: 7482.19 ms [2022-04-20 16:21:02 main:574] : INFO : Epoch 1906 | loss: 0.0312466 | val_loss: 0.0312505 | Time: 7609.63 ms [2022-04-20 16:21:09 main:574] : INFO : Epoch 1907 | loss: 0.031247 | val_loss: 0.0312495 | Time: 7210.16 ms [2022-04-20 16:21:16 main:574] : INFO : Epoch 1908 | loss: 0.031245 | val_loss: 0.0312452 | Time: 7252.71 ms [2022-04-20 16:21:24 main:574] : INFO : Epoch 1909 | loss: 0.0312453 | val_loss: 0.0312499 | Time: 7474.23 ms [2022-04-20 16:21:32 main:574] : INFO : Epoch 1910 | loss: 0.0312455 | val_loss: 0.0312466 | Time: 7799.96 ms [2022-04-20 16:21:39 main:574] : INFO : Epoch 1911 | loss: 0.0312441 | val_loss: 0.0312447 | Time: 7158.09 ms [2022-04-20 16:21:46 main:574] : INFO : Epoch 1912 | loss: 0.0312442 | val_loss: 0.0312466 | Time: 7403.5 ms [2022-04-20 16:21:54 main:574] : INFO : Epoch 1913 | loss: 0.0312456 | val_loss: 0.0312465 | Time: 7316.36 ms [2022-04-20 16:22:01 main:574] : INFO : Epoch 1914 | loss: 0.0312452 | val_loss: 0.031246 | Time: 7288.72 ms [2022-04-20 16:22:09 main:574] : INFO : Epoch 1915 | loss: 0.0312448 | val_loss: 0.0312446 | Time: 8562.83 ms [2022-04-20 16:22:17 main:574] : INFO : Epoch 1916 | loss: 0.0312438 | val_loss: 0.0312454 | Time: 7346.8 ms [2022-04-20 16:22:24 main:574] : INFO : Epoch 1917 | loss: 0.0312438 | val_loss: 0.0312447 | Time: 7229.77 ms [2022-04-20 16:22:31 main:574] : INFO : Epoch 1918 | loss: 0.0312443 | val_loss: 0.0312452 | Time: 7274.43 ms [2022-04-20 16:22:38 main:574] : INFO : Epoch 1919 | loss: 0.031244 | val_loss: 0.0312448 | Time: 7126.87 ms [2022-04-20 16:22:46 main:574] : INFO : Epoch 1920 | loss: 0.031244 | val_loss: 0.0312456 | Time: 7314.62 ms [2022-04-20 16:22:53 main:574] : INFO : Epoch 1921 | loss: 0.0312475 | val_loss: 0.0312474 | Time: 7407.83 ms [2022-04-20 16:23:01 main:574] : INFO : Epoch 1922 | loss: 0.0312446 | val_loss: 0.0312446 | Time: 7345.94 ms [2022-04-20 16:23:08 main:574] : INFO : Epoch 1923 | loss: 0.0312441 | val_loss: 0.0312443 | Time: 7662.04 ms [2022-04-20 16:23:16 main:574] : INFO : Epoch 1924 | loss: 0.0312439 | val_loss: 0.0312448 | Time: 7850.48 ms [2022-04-20 16:23:23 main:574] : INFO : Epoch 1925 | loss: 0.0312445 | val_loss: 0.0312452 | Time: 7229.41 ms [2022-04-20 16:23:31 main:574] : INFO : Epoch 1926 | loss: 0.0312436 | val_loss: 0.0312445 | Time: 7241.69 ms [2022-04-20 16:23:38 main:574] : INFO : Epoch 1927 | loss: 0.0312435 | val_loss: 0.031245 | Time: 7231.23 ms [2022-04-20 16:23:45 main:574] : INFO : Epoch 1928 | loss: 0.0312452 | val_loss: 0.031249 | Time: 7532.48 ms [2022-04-20 16:23:53 main:574] : INFO : Epoch 1929 | loss: 0.0312459 | val_loss: 0.0312458 | Time: 7313.87 ms [2022-04-20 16:24:00 main:574] : INFO : Epoch 1930 | loss: 0.0312447 | val_loss: 0.0312451 | Time: 7474.71 ms [2022-04-20 16:24:08 main:574] : INFO : Epoch 1931 | loss: 0.0312446 | val_loss: 0.0312451 | Time: 7580.31 ms [2022-04-20 16:24:15 main:574] : INFO : Epoch 1932 | loss: 0.0312447 | val_loss: 0.0312455 | Time: 7282.36 ms [2022-04-20 16:24:22 main:574] : INFO : Epoch 1933 | loss: 0.0312442 | val_loss: 0.0312457 | Time: 7265.4 ms [2022-04-20 16:24:30 main:574] : INFO : Epoch 1934 | loss: 0.0312446 | val_loss: 0.0312451 | Time: 7217.09 ms [2022-04-20 16:24:37 main:574] : INFO : Epoch 1935 | loss: 0.0312445 | val_loss: 0.0312449 | Time: 7287.44 ms [2022-04-20 16:24:44 main:574] : INFO : Epoch 1936 | loss: 0.0312447 | val_loss: 0.0312447 | Time: 7365.41 ms [2022-04-20 16:24:52 main:574] : INFO : Epoch 1937 | loss: 0.0312447 | val_loss: 0.0312454 | Time: 7336.91 ms [2022-04-20 16:24:59 main:574] : INFO : Epoch 1938 | loss: 0.031244 | val_loss: 0.0312467 | Time: 7465 ms [2022-04-20 16:25:06 main:574] : INFO : Epoch 1939 | loss: 0.0312445 | val_loss: 0.0312454 | Time: 7352.27 ms [2022-04-20 16:25:14 main:574] : INFO : Epoch 1940 | loss: 0.0312442 | val_loss: 0.0312447 | Time: 7427.14 ms [2022-04-20 16:25:21 main:574] : INFO : Epoch 1941 | loss: 0.0312443 | val_loss: 0.0312449 | Time: 7691.99 ms [2022-04-20 16:25:29 main:574] : INFO : Epoch 1942 | loss: 0.0312447 | val_loss: 0.0312462 | Time: 7268.68 ms [2022-04-20 16:25:36 main:574] : INFO : Epoch 1943 | loss: 0.0312454 | val_loss: 0.0312444 | Time: 7072.88 ms [2022-04-20 16:25:43 main:574] : INFO : Epoch 1944 | loss: 0.0312446 | val_loss: 0.0312457 | Time: 7322.49 ms [2022-04-20 16:25:51 main:574] : INFO : Epoch 1945 | loss: 0.0312443 | val_loss: 0.031245 | Time: 7361.16 ms [2022-04-20 16:25:58 main:574] : INFO : Epoch 1946 | loss: 0.0312439 | val_loss: 0.0312458 | Time: 7460.97 ms [2022-04-20 16:26:06 main:574] : INFO : Epoch 1947 | loss: 0.0312444 | val_loss: 0.0312494 | Time: 7556.16 ms [2022-04-20 16:26:13 main:574] : INFO : Epoch 1948 | loss: 0.0312455 | val_loss: 0.0312452 | Time: 7252.4 ms [2022-04-20 16:26:20 main:574] : INFO : Epoch 1949 | loss: 0.0312443 | val_loss: 0.031245 | Time: 7461.63 ms [2022-04-20 16:26:28 main:574] : INFO : Epoch 1950 | loss: 0.0312437 | val_loss: 0.0312455 | Time: 7400.55 ms [2022-04-20 16:26:35 main:574] : INFO : Epoch 1951 | loss: 0.0312443 | val_loss: 0.0312456 | Time: 7600.09 ms [2022-04-20 16:26:43 main:574] : INFO : Epoch 1952 | loss: 0.0312442 | val_loss: 0.031246 | Time: 7275.57 ms [2022-04-20 16:26:50 main:574] : INFO : Epoch 1953 | loss: 0.0312447 | val_loss: 0.0312456 | Time: 7509.43 ms [2022-04-20 16:26:58 main:574] : INFO : Epoch 1954 | loss: 0.0312442 | val_loss: 0.0312461 | Time: 7515.79 ms [2022-04-20 16:27:05 main:574] : INFO : Epoch 1955 | loss: 0.0312464 | val_loss: 0.0312448 | Time: 7490.48 ms [2022-04-20 16:27:12 main:574] : INFO : Epoch 1956 | loss: 0.0312445 | val_loss: 0.0312453 | Time: 7377.26 ms [2022-04-20 16:27:20 main:574] : INFO : Epoch 1957 | loss: 0.0312443 | val_loss: 0.0312448 | Time: 7218.51 ms [2022-04-20 16:27:27 main:574] : INFO : Epoch 1958 | loss: 0.0312445 | val_loss: 0.0312454 | Time: 7485.23 ms [2022-04-20 16:27:34 main:574] : INFO : Epoch 1959 | loss: 0.0312445 | val_loss: 0.0312464 | Time: 7284.65 ms [2022-04-20 16:27:42 main:574] : INFO : Epoch 1960 | loss: 0.0312448 | val_loss: 0.0312452 | Time: 7548.67 ms [2022-04-20 16:27:49 main:574] : INFO : Epoch 1961 | loss: 0.0312437 | val_loss: 0.0312451 | Time: 7382.07 ms [2022-04-20 16:27:57 main:574] : INFO : Epoch 1962 | loss: 0.0312437 | val_loss: 0.0312451 | Time: 7430.49 ms [2022-04-20 16:28:04 main:574] : INFO : Epoch 1963 | loss: 0.0312442 | val_loss: 0.0312455 | Time: 7452.15 ms [2022-04-20 16:28:12 main:574] : INFO : Epoch 1964 | loss: 0.031245 | val_loss: 0.0312466 | Time: 7467.54 ms [2022-04-20 16:28:19 main:574] : INFO : Epoch 1965 | loss: 0.0312451 | val_loss: 0.0312458 | Time: 7474.98 ms [2022-04-20 16:28:27 main:574] : INFO : Epoch 1966 | loss: 0.031244 | val_loss: 0.0312456 | Time: 7498.55 ms [2022-04-20 16:28:34 main:574] : INFO : Epoch 1967 | loss: 0.0312447 | val_loss: 0.0312464 | Time: 7299.41 ms [2022-04-20 16:28:41 main:574] : INFO : Epoch 1968 | loss: 0.0312464 | val_loss: 0.0312487 | Time: 7223.18 ms [2022-04-20 16:28:49 main:574] : INFO : Epoch 1969 | loss: 0.0312449 | val_loss: 0.0312447 | Time: 7536.79 ms [2022-04-20 16:28:56 main:574] : INFO : Epoch 1970 | loss: 0.0312456 | val_loss: 0.0312452 | Time: 7186.13 ms [2022-04-20 16:29:03 main:574] : INFO : Epoch 1971 | loss: 0.0312448 | val_loss: 0.0312465 | Time: 7344.85 ms [2022-04-20 16:29:11 main:574] : INFO : Epoch 1972 | loss: 0.0312453 | val_loss: 0.0312454 | Time: 7424.36 ms [2022-04-20 16:29:18 main:574] : INFO : Epoch 1973 | loss: 0.0312447 | val_loss: 0.0312453 | Time: 7300.34 ms [2022-04-20 16:29:25 main:574] : INFO : Epoch 1974 | loss: 0.0312449 | val_loss: 0.031245 | Time: 7325.26 ms [2022-04-20 16:29:33 main:574] : INFO : Epoch 1975 | loss: 0.0312442 | val_loss: 0.0312451 | Time: 7289.81 ms [2022-04-20 16:29:40 main:574] : INFO : Epoch 1976 | loss: 0.0312453 | val_loss: 0.0312466 | Time: 7207.25 ms [2022-04-20 16:29:47 main:574] : INFO : Epoch 1977 | loss: 0.0312447 | val_loss: 0.0312447 | Time: 7458.73 ms [2022-04-20 16:29:55 main:574] : INFO : Epoch 1978 | loss: 0.031244 | val_loss: 0.0312457 | Time: 7357.33 ms [2022-04-20 16:30:02 main:574] : INFO : Epoch 1979 | loss: 0.0312449 | val_loss: 0.0312447 | Time: 7314.46 ms [2022-04-20 16:30:10 main:574] : INFO : Epoch 1980 | loss: 0.0312442 | val_loss: 0.0312446 | Time: 7616.15 ms [2022-04-20 16:30:17 main:574] : INFO : Epoch 1981 | loss: 0.0312455 | val_loss: 0.0312459 | Time: 7439.64 ms [2022-04-20 16:30:24 main:574] : INFO : Epoch 1982 | loss: 0.0312448 | val_loss: 0.0312452 | Time: 7257.26 ms [2022-04-20 16:30:32 main:574] : INFO : Epoch 1983 | loss: 0.0312453 | val_loss: 0.031245 | Time: 7341.13 ms [2022-04-20 16:30:39 main:574] : INFO : Epoch 1984 | loss: 0.0312459 | val_loss: 0.0312463 | Time: 7428.16 ms [2022-04-20 16:30:47 main:574] : INFO : Epoch 1985 | loss: 0.0312446 | val_loss: 0.0312446 | Time: 7451.68 ms [2022-04-20 16:30:54 main:574] : INFO : Epoch 1986 | loss: 0.0312441 | val_loss: 0.0312445 | Time: 7620.29 ms [2022-04-20 16:31:02 main:574] : INFO : Epoch 1987 | loss: 0.0312437 | val_loss: 0.0312456 | Time: 7277.57 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: Quadro P4000) [2022-04-20 16:42:09 main:435] : INFO : Set logging level to 1 [2022-04-20 16:42:09 main:441] : INFO : Running in BOINC Client mode [2022-04-20 16:42:09 main:444] : INFO : Resolving all filenames [2022-04-20 16:42:09 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-04-20 16:42:09 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-04-20 16:42:09 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-04-20 16:42:09 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1) [2022-04-20 16:42:09 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-04-20 16:42:09 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-04-20 16:42:09 main:474] : INFO : Configuration: [2022-04-20 16:42:09 main:475] : INFO : Model type: GRU [2022-04-20 16:42:09 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-04-20 16:42:09 main:477] : INFO : Max Epochs: 2048 [2022-04-20 16:42:09 main:478] : INFO : Batch Size: 128 [2022-04-20 16:42:09 main:479] : INFO : Learning Rate: 0.01 [2022-04-20 16:42:10 main:480] : INFO : Patience: 10 [2022-04-20 16:42:10 main:481] : INFO : Hidden Width: 12 [2022-04-20 16:42:10 main:482] : INFO : # Recurrent Layers: 4 [2022-04-20 16:42:10 main:483] : INFO : # Backend Layers: 4 [2022-04-20 16:42:10 main:484] : INFO : # Threads: 1 [2022-04-20 16:42:10 main:486] : INFO : Preparing Dataset [2022-04-20 16:42:10 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-04-20 16:42:10 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory [2022-04-20 16:42:12 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2022-04-20 16:42:12 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory [2022-04-20 16:42:13 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory [2022-04-20 16:42:13 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2022-04-20 16:42:13 main:494] : INFO : Creating Model [2022-04-20 16:42:13 main:507] : INFO : Preparing config file [2022-04-20 16:42:13 main:511] : INFO : Found checkpoint, attempting to load... [2022-04-20 16:42:13 main:512] : INFO : Loading config [2022-04-20 16:42:13 main:514] : INFO : Loading state [2022-04-20 16:42:14 main:559] : INFO : Loading DataLoader into Memory [2022-04-20 16:42:14 main:562] : INFO : Starting Training [2022-04-20 16:42:22 main:574] : INFO : Epoch 1979 | loss: 0.0313349 | val_loss: 0.0312673 | Time: 7243.78 ms [2022-04-20 16:42:28 main:574] : INFO : Epoch 1980 | loss: 0.0312602 | val_loss: 0.0312518 | Time: 6797 ms [2022-04-20 16:42:36 main:574] : INFO : Epoch 1981 | loss: 0.0312514 | val_loss: 0.0312502 | Time: 7440.22 ms [2022-04-20 16:42:43 main:574] : INFO : Epoch 1982 | loss: 0.031249 | val_loss: 0.031246 | Time: 7060.22 ms [2022-04-20 16:42:50 main:574] : INFO : Epoch 1983 | loss: 0.0312459 | val_loss: 0.0312449 | Time: 6907.85 ms [2022-04-20 16:42:57 main:574] : INFO : Epoch 1984 | loss: 0.0312458 | val_loss: 0.0312444 | Time: 6860.67 ms [2022-04-20 16:43:04 main:574] : INFO : Epoch 1985 | loss: 0.0312468 | val_loss: 0.0312459 | Time: 7100.31 ms [2022-04-20 16:43:11 main:574] : INFO : Epoch 1986 | loss: 0.0312466 | val_loss: 0.0312477 | Time: 7370.06 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: Quadro P4000) [2022-04-20 16:55:32 main:435] : INFO : Set logging level to 1 [2022-04-20 16:55:32 main:441] : INFO : Running in BOINC Client mode [2022-04-20 16:55:32 main:444] : INFO : Resolving all filenames [2022-04-20 16:55:32 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-04-20 16:55:32 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-04-20 16:55:32 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-04-20 16:55:32 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1) [2022-04-20 16:55:32 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-04-20 16:55:32 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-04-20 16:55:32 main:474] : INFO : Configuration: [2022-04-20 16:55:32 main:475] : INFO : Model type: GRU [2022-04-20 16:55:32 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-04-20 16:55:32 main:477] : INFO : Max Epochs: 2048 [2022-04-20 16:55:32 main:478] : INFO : Batch Size: 128 [2022-04-20 16:55:32 main:479] : INFO : Learning Rate: 0.01 [2022-04-20 16:55:32 main:480] : INFO : Patience: 10 [2022-04-20 16:55:32 main:481] : INFO : Hidden Width: 12 [2022-04-20 16:55:32 main:482] : INFO : # Recurrent Layers: 4 [2022-04-20 16:55:32 main:483] : INFO : # Backend Layers: 4 [2022-04-20 16:55:33 main:484] : INFO : # Threads: 1 [2022-04-20 16:55:33 main:486] : INFO : Preparing Dataset [2022-04-20 16:55:33 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-04-20 16:55:33 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory [2022-04-20 16:55:35 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2022-04-20 16:55:35 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory [2022-04-20 16:55:36 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory [2022-04-20 16:55:36 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2022-04-20 16:55:36 main:494] : INFO : Creating Model [2022-04-20 16:55:36 main:507] : INFO : Preparing config file [2022-04-20 16:55:36 main:511] : INFO : Found checkpoint, attempting to load... [2022-04-20 16:55:36 main:512] : INFO : Loading config [2022-04-20 16:55:36 main:514] : INFO : Loading state [2022-04-20 16:55:37 main:559] : INFO : Loading DataLoader into Memory [2022-04-20 16:55:37 main:562] : INFO : Starting Training [2022-04-20 16:55:45 main:574] : INFO : Epoch 1979 | loss: nan | val_loss: nan | Time: 7972.39 ms [2022-04-20 16:55:53 main:574] : INFO : Epoch 1980 | loss: nan | val_loss: nan | Time: 7674.69 ms [2022-04-20 16:56:00 main:574] : INFO : Epoch 1981 | loss: nan | val_loss: nan | Time: 7623.33 ms [2022-04-20 16:56:08 main:574] : INFO : Epoch 1982 | loss: nan | val_loss: nan | Time: 7669.33 ms [2022-04-20 16:56:17 main:574] : INFO : Epoch 1983 | loss: nan | val_loss: nan | Time: 8331.09 ms [2022-04-20 16:56:24 main:574] : INFO : Epoch 1984 | loss: nan | val_loss: nan | Time: 7570.83 ms [2022-04-20 16:56:32 main:574] : INFO : Epoch 1985 | loss: nan | val_loss: nan | Time: 7427.4 ms [2022-04-20 16:56:39 main:574] : INFO : Epoch 1986 | loss: nan | val_loss: nan | Time: 7305.93 ms [2022-04-20 16:56:46 main:574] : INFO : Epoch 1987 | loss: nan | val_loss: nan | Time: 7574.72 ms [2022-04-20 16:56:54 main:574] : INFO : Epoch 1988 | loss: nan | val_loss: nan | Time: 7529.6 ms [2022-04-20 16:57:02 main:574] : INFO : Epoch 1989 | loss: nan | val_loss: nan | Time: 7569.26 ms [2022-04-20 16:57:09 main:574] : INFO : Epoch 1990 | loss: nan | val_loss: nan | Time: 7545.82 ms [2022-04-20 16:57:17 main:574] : INFO : Epoch 1991 | loss: nan | val_loss: nan | Time: 7698.82 ms [2022-04-20 16:57:24 main:574] : INFO : Epoch 1992 | loss: nan | val_loss: nan | Time: 7506.18 ms [2022-04-20 16:57:32 main:574] : INFO : Epoch 1993 | loss: nan | val_loss: nan | Time: 7444.73 ms [2022-04-20 16:57:39 main:574] : INFO : Epoch 1994 | loss: nan | val_loss: nan | Time: 7758.53 ms [2022-04-20 16:57:47 main:574] : INFO : Epoch 1995 | loss: nan | val_loss: nan | Time: 7425.73 ms [2022-04-20 16:57:55 main:574] : INFO : Epoch 1996 | loss: nan | val_loss: nan | Time: 7749.61 ms [2022-04-20 16:58:02 main:574] : INFO : Epoch 1997 | loss: nan | val_loss: nan | Time: 7761.64 ms [2022-04-20 16:58:10 main:574] : INFO : Epoch 1998 | loss: nan | val_loss: nan | Time: 7572.04 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: Quadro P4000) [2022-04-20 17:32:15 main:435] : INFO : Set logging level to 1 [2022-04-20 17:32:15 main:441] : INFO : Running in BOINC Client mode [2022-04-20 17:32:15 main:444] : INFO : Resolving all filenames [2022-04-20 17:32:15 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-04-20 17:32:15 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-04-20 17:32:15 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-04-20 17:32:15 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1) [2022-04-20 17:32:15 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-04-20 17:32:15 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-04-20 17:32:15 main:474] : INFO : Configuration: [2022-04-20 17:32:15 main:475] : INFO : Model type: GRU [2022-04-20 17:32:15 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-04-20 17:32:15 main:477] : INFO : Max Epochs: 2048 [2022-04-20 17:32:15 main:478] : INFO : Batch Size: 128 [2022-04-20 17:32:15 main:479] : INFO : Learning Rate: 0.01 [2022-04-20 17:32:15 main:480] : INFO : Patience: 10 [2022-04-20 17:32:15 main:481] : INFO : Hidden Width: 12 [2022-04-20 17:32:15 main:482] : INFO : # Recurrent Layers: 4 [2022-04-20 17:32:15 main:483] : INFO : # Backend Layers: 4 [2022-04-20 17:32:15 main:484] : INFO : # Threads: 1 [2022-04-20 17:32:15 main:486] : INFO : Preparing Dataset [2022-04-20 17:32:15 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-04-20 17:32:15 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory [2022-04-20 17:32:18 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2022-04-20 17:32:18 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory [2022-04-20 17:32:19 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory [2022-04-20 17:32:19 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2022-04-20 17:32:19 main:494] : INFO : Creating Model [2022-04-20 17:32:19 main:507] : INFO : Preparing config file [2022-04-20 17:32:19 main:511] : INFO : Found checkpoint, attempting to load... [2022-04-20 17:32:19 main:512] : INFO : Loading config [2022-04-20 17:32:19 main:514] : INFO : Loading state [2022-04-20 17:32:20 main:559] : INFO : Loading DataLoader into Memory [2022-04-20 17:32:20 main:562] : INFO : Starting Training [2022-04-20 17:32:28 main:574] : INFO : Epoch 1979 | loss: 0.0313304 | val_loss: 0.0312708 | Time: 7392.66 ms [2022-04-20 17:32:35 main:574] : INFO : Epoch 1980 | loss: 0.0312595 | val_loss: 0.0312565 | Time: 7208.57 ms [2022-04-20 17:32:42 main:574] : INFO : Epoch 1981 | loss: 0.0312518 | val_loss: 0.0312491 | Time: 7054.2 ms [2022-04-20 17:32:49 main:574] : INFO : Epoch 1982 | loss: 0.031248 | val_loss: 0.0312495 | Time: 7141.92 ms [2022-04-20 17:32:56 main:574] : INFO : Epoch 1983 | loss: 0.0312471 | val_loss: 0.0312485 | Time: 7215.4 ms [2022-04-20 17:33:04 main:574] : INFO : Epoch 1984 | loss: 0.0312464 | val_loss: 0.0312473 | Time: 7118.78 ms [2022-04-20 17:33:11 main:574] : INFO : Epoch 1985 | loss: 0.0312462 | val_loss: 0.0312479 | Time: 7040.88 ms [2022-04-20 17:33:18 main:574] : INFO : Epoch 1986 | loss: 0.0312457 | val_loss: 0.0312481 | Time: 7181.99 ms [2022-04-20 17:33:25 main:574] : INFO : Epoch 1987 | loss: 0.031246 | val_loss: 0.0312489 | Time: 7130.63 ms [2022-04-20 17:33:32 main:574] : INFO : Epoch 1988 | loss: 0.0312456 | val_loss: 0.0312504 | Time: 7167.21 ms [2022-04-20 17:33:39 main:574] : INFO : Epoch 1989 | loss: 0.0312474 | val_loss: 0.0312481 | Time: 7078.04 ms [2022-04-20 17:33:46 main:574] : INFO : Epoch 1990 | loss: 0.0312466 | val_loss: 0.0312481 | Time: 7177.71 ms [2022-04-20 17:33:53 main:574] : INFO : Epoch 1991 | loss: 0.0312457 | val_loss: 0.0312478 | Time: 7085.68 ms [2022-04-20 17:34:01 main:574] : INFO : Epoch 1992 | loss: 0.0312454 | val_loss: 0.0312478 | Time: 7094.26 ms [2022-04-20 17:34:08 main:574] : INFO : Epoch 1993 | loss: 0.0312451 | val_loss: 0.0312513 | Time: 7211.33 ms [2022-04-20 17:34:15 main:574] : INFO : Epoch 1994 | loss: 0.0312469 | val_loss: 0.0312492 | Time: 7119.62 ms [2022-04-20 17:34:23 main:574] : INFO : Epoch 1995 | loss: 0.0312459 | val_loss: 0.0312478 | Time: 8448.42 ms [2022-04-20 17:34:34 main:574] : INFO : Epoch 1996 | loss: 0.0312446 | val_loss: 0.0312482 | Time: 10243.3 ms [2022-04-20 17:34:41 main:574] : INFO : Epoch 1997 | loss: 0.0312457 | val_loss: 0.0312481 | Time: 7471.68 ms [2022-04-20 17:34:48 main:574] : INFO : Epoch 1998 | loss: 0.031245 | val_loss: 0.0312482 | Time: 7392.7 ms [2022-04-20 17:34:56 main:574] : INFO : Epoch 1999 | loss: 0.0312486 | val_loss: 0.0312519 | Time: 7624.28 ms [2022-04-20 17:35:05 main:574] : INFO : Epoch 2000 | loss: 0.0312478 | val_loss: 0.0312473 | Time: 8489.17 ms [2022-04-20 17:35:13 main:574] : INFO : Epoch 2001 | loss: 0.0312462 | val_loss: 0.0312475 | Time: 8319.5 ms [2022-04-20 17:35:21 main:574] : INFO : Epoch 2002 | loss: 0.0312452 | val_loss: 0.0312478 | Time: 8118.06 ms [2022-04-20 17:35:28 main:574] : INFO : Epoch 2003 | loss: 0.0312459 | val_loss: 0.0312504 | Time: 7084.11 ms [2022-04-20 17:35:35 main:574] : INFO : Epoch 2004 | loss: 0.0312457 | val_loss: 0.0312486 | Time: 7065.43 ms [2022-04-20 17:35:43 main:574] : INFO : Epoch 2005 | loss: 0.0312459 | val_loss: 0.0312507 | Time: 7324.05 ms [2022-04-20 17:35:50 main:574] : INFO : Epoch 2006 | loss: 0.0312448 | val_loss: 0.0312474 | Time: 7269.65 ms [2022-04-20 17:35:57 main:574] : INFO : Epoch 2007 | loss: 0.0312447 | val_loss: 0.0312523 | Time: 7322.8 ms [2022-04-20 17:36:05 main:574] : INFO : Epoch 2008 | loss: 0.031248 | val_loss: 0.0312529 | Time: 7368.96 ms [2022-04-20 17:36:12 main:574] : INFO : Epoch 2009 | loss: 0.0312463 | val_loss: 0.0312497 | Time: 6982.73 ms [2022-04-20 17:36:19 main:574] : INFO : Epoch 2010 | loss: 0.0312455 | val_loss: 0.0312484 | Time: 7568.51 ms [2022-04-20 17:36:26 main:574] : INFO : Epoch 2011 | loss: 0.0312446 | val_loss: 0.0312495 | Time: 7198.05 ms [2022-04-20 17:36:34 main:574] : INFO : Epoch 2012 | loss: 0.0312449 | val_loss: 0.0312478 | Time: 7409.56 ms [2022-04-20 17:36:41 main:574] : INFO : Epoch 2013 | loss: 0.0312446 | val_loss: 0.0312471 | Time: 6991.27 ms [2022-04-20 17:36:53 main:574] : INFO : Epoch 2014 | loss: 0.0312456 | val_loss: 0.031254 | Time: 12436.5 ms [2022-04-20 17:37:01 main:574] : INFO : Epoch 2015 | loss: 0.0312467 | val_loss: 0.0312492 | Time: 7505.66 ms [2022-04-20 17:37:08 main:574] : INFO : Epoch 2016 | loss: 0.0312449 | val_loss: 0.0312511 | Time: 7618.14 ms [2022-04-20 17:37:16 main:574] : INFO : Epoch 2017 | loss: 0.0312457 | val_loss: 0.0312499 | Time: 7466.18 ms [2022-04-20 17:37:23 main:574] : INFO : Epoch 2018 | loss: 0.0312448 | val_loss: 0.0312476 | Time: 7023.67 ms [2022-04-20 17:37:30 main:574] : INFO : Epoch 2019 | loss: 0.0312454 | val_loss: 0.0312471 | Time: 7234.59 ms [2022-04-20 17:37:37 main:574] : INFO : Epoch 2020 | loss: 0.0312447 | val_loss: 0.0312478 | Time: 7300.75 ms [2022-04-20 17:37:45 main:574] : INFO : Epoch 2021 | loss: 0.0312443 | val_loss: 0.0312494 | Time: 7315.83 ms [2022-04-20 17:37:52 main:574] : INFO : Epoch 2022 | loss: 0.0312452 | val_loss: 0.0312468 | Time: 7195.92 ms [2022-04-20 17:38:00 main:574] : INFO : Epoch 2023 | loss: 0.0312462 | val_loss: 0.0312483 | Time: 8188.8 ms [2022-04-20 17:38:07 main:574] : INFO : Epoch 2024 | loss: 0.0312456 | val_loss: 0.0312483 | Time: 7200.63 ms [2022-04-20 17:38:14 main:574] : INFO : Epoch 2025 | loss: 0.0312455 | val_loss: 0.0312476 | Time: 7106.13 ms [2022-04-20 17:38:22 main:574] : INFO : Epoch 2026 | loss: 0.0312456 | val_loss: 0.0312502 | Time: 7194.82 ms [2022-04-20 17:38:29 main:574] : INFO : Epoch 2027 | loss: 0.0312447 | val_loss: 0.0312492 | Time: 7131.83 ms [2022-04-20 17:38:36 main:574] : INFO : Epoch 2028 | loss: 0.0312449 | val_loss: 0.0312472 | Time: 7243.53 ms [2022-04-20 17:38:43 main:574] : INFO : Epoch 2029 | loss: 0.031246 | val_loss: 0.0312484 | Time: 7325.88 ms [2022-04-20 17:38:51 main:574] : INFO : Epoch 2030 | loss: 0.0312459 | val_loss: 0.0312487 | Time: 7247.16 ms [2022-04-20 17:38:58 main:574] : INFO : Epoch 2031 | loss: 0.0312452 | val_loss: 0.0312481 | Time: 7320.6 ms [2022-04-20 17:39:05 main:574] : INFO : Epoch 2032 | loss: 0.0312459 | val_loss: 0.0312506 | Time: 7172.64 ms [2022-04-20 17:39:12 main:574] : INFO : Epoch 2033 | loss: 0.0312447 | val_loss: 0.0312481 | Time: 7111.21 ms [2022-04-20 17:39:19 main:574] : INFO : Epoch 2034 | loss: 0.0312435 | val_loss: 0.0312481 | Time: 7243.5 ms [2022-04-20 17:39:27 main:574] : INFO : Epoch 2035 | loss: 0.0312446 | val_loss: 0.0312472 | Time: 7119.35 ms [2022-04-20 17:39:34 main:574] : INFO : Epoch 2036 | loss: 0.0312451 | val_loss: 0.0312486 | Time: 7559.02 ms [2022-04-20 17:39:41 main:574] : INFO : Epoch 2037 | loss: 0.0312443 | val_loss: 0.0312477 | Time: 7060.7 ms [2022-04-20 17:39:49 main:574] : INFO : Epoch 2038 | loss: 0.031245 | val_loss: 0.0312485 | Time: 7349.65 ms [2022-04-20 17:39:56 main:574] : INFO : Epoch 2039 | loss: 0.0312456 | val_loss: 0.0312471 | Time: 7191.5 ms [2022-04-20 17:40:03 main:574] : INFO : Epoch 2040 | loss: 0.0312473 | val_loss: 0.0312484 | Time: 7331 ms [2022-04-20 17:40:10 main:574] : INFO : Epoch 2041 | loss: 0.0312458 | val_loss: 0.0312492 | Time: 7217.14 ms [2022-04-20 17:40:18 main:574] : INFO : Epoch 2042 | loss: 0.0312448 | val_loss: 0.0312473 | Time: 7285.22 ms [2022-04-20 17:40:25 main:574] : INFO : Epoch 2043 | loss: 0.0312448 | val_loss: 0.0312478 | Time: 7285.23 ms [2022-04-20 17:40:32 main:574] : INFO : Epoch 2044 | loss: 0.0312452 | val_loss: 0.0312541 | Time: 7228.34 ms [2022-04-20 17:40:39 main:574] : INFO : Epoch 2045 | loss: 0.0312486 | val_loss: 0.03125 | Time: 7339.46 ms [2022-04-20 17:40:47 main:574] : INFO : Epoch 2046 | loss: 0.0312464 | val_loss: 0.0312544 | Time: 7330.61 ms [2022-04-20 17:40:54 main:574] : INFO : Epoch 2047 | loss: 0.0312496 | val_loss: 0.0312496 | Time: 7337.74 ms [2022-04-20 17:41:01 main:574] : INFO : Epoch 2048 | loss: 0.0312468 | val_loss: 0.0312521 | Time: 6961.56 ms [2022-04-20 17:41:01 main:597] : INFO : Saving trained model to model-final.pt, val_loss 0.0312521 [2022-04-20 17:41:01 main:603] : INFO : Saving end state to config to file [2022-04-20 17:41:01 main:608] : INFO : Success, exiting.. 17:41:01 (21436): 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)