Task 14551980
| Name | ParityModified-1647041374-3015-3-0_0 |
| Workunit | 11576115 |
| Created | 9 Apr 2022, 0:04:03 UTC |
| Sent | 10 Apr 2022, 20:20:54 UTC |
| Report deadline | 18 Apr 2022, 20:20:54 UTC |
| Received | 25 Apr 2022, 10:28:26 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 18579 |
| Run time | 2 hours 34 min 53 sec |
| CPU time | 2 hours 24 min 29 sec |
| Validate state | Task was reported too late to validate |
| Credit | 0.00 |
| Device peak FLOPS | 14,366.03 GFLOPS |
| Application version | Machine Learning Dataset Generator (GPU) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 2.08 GB |
| Peak swap size | 4.42 GB |
| Peak disk usage | 1.54 GB |
Stderr output
<core_client_version>7.16.20</core_client_version> <![CDATA[ <stderr_txt> -04-18 22:00:54 main:574] : INFO : Epoch 1626 | loss: 0.0311879 | val_loss: 0.0311844 | Time: 4109.59 ms [2022-04-18 22:00:58 main:574] : INFO : Epoch 1627 | loss: 0.0311874 | val_loss: 0.0311849 | Time: 4146.89 ms [2022-04-18 22:01:02 main:574] : INFO : Epoch 1628 | loss: 0.0311884 | val_loss: 0.0311843 | Time: 4090.88 ms [2022-04-18 22:01:07 main:574] : INFO : Epoch 1629 | loss: 0.0311925 | val_loss: 0.0311938 | Time: 4111.59 ms [2022-04-18 22:01:11 main:574] : INFO : Epoch 1630 | loss: 0.0312009 | val_loss: 0.0312021 | Time: 4116.36 ms [2022-04-18 22:01:15 main:574] : INFO : Epoch 1631 | loss: 0.0312003 | val_loss: 0.0311948 | Time: 4138.38 ms [2022-04-18 22:01:19 main:574] : INFO : Epoch 1632 | loss: 0.0311984 | val_loss: 0.0311939 | Time: 4073.21 ms [2022-04-18 22:01:23 main:574] : INFO : Epoch 1633 | loss: 0.0311972 | val_loss: 0.0311927 | Time: 4030.7 ms [2022-04-18 22:01:27 main:574] : INFO : Epoch 1634 | loss: 0.031197 | val_loss: 0.0311915 | Time: 4118.27 ms [2022-04-18 22:01:31 main:574] : INFO : Epoch 1635 | loss: 0.0311956 | val_loss: 0.0311929 | Time: 4087.55 ms [2022-04-18 22:01:35 main:574] : INFO : Epoch 1636 | loss: 0.0311954 | val_loss: 0.0311914 | Time: 4082.75 ms [2022-04-18 22:01:39 main:574] : INFO : Epoch 1637 | loss: 0.0311952 | val_loss: 0.0311937 | Time: 4114.21 ms [2022-04-18 22:01:44 main:574] : INFO : Epoch 1638 | loss: 0.0311953 | val_loss: 0.0311946 | Time: 4142.74 ms [2022-04-18 22:01:48 main:574] : INFO : Epoch 1639 | loss: 0.0311947 | val_loss: 0.0311905 | Time: 4105.69 ms [2022-04-18 22:01:52 main:574] : INFO : Epoch 1640 | loss: 0.031195 | val_loss: 0.0311942 | Time: 4079.62 ms [2022-04-18 22:01:56 main:574] : INFO : Epoch 1641 | loss: 0.0311963 | val_loss: 0.0311909 | Time: 4106.09 ms [2022-04-18 22:02:00 main:574] : INFO : Epoch 1642 | loss: 0.0311951 | val_loss: 0.0311929 | Time: 4076.55 ms [2022-04-18 22:02:04 main:574] : INFO : Epoch 1643 | loss: 0.0311936 | val_loss: 0.0311913 | Time: 4104.57 ms [2022-04-18 22:02:08 main:574] : INFO : Epoch 1644 | loss: 0.0311944 | val_loss: 0.0311913 | Time: 4097.74 ms [2022-04-18 22:02:12 main:574] : INFO : Epoch 1645 | loss: 0.031195 | val_loss: 0.0311897 | Time: 4092.91 ms [2022-04-18 22:02:16 main:574] : INFO : Epoch 1646 | loss: 0.0311923 | val_loss: 0.0311895 | Time: 4089.84 ms [2022-04-18 22:02:21 main:574] : INFO : Epoch 1647 | loss: 0.0311918 | val_loss: 0.0311905 | Time: 4103.76 ms [2022-04-18 22:02:25 main:574] : INFO : Epoch 1648 | loss: 0.0311922 | val_loss: 0.0311903 | Time: 4059.41 ms [2022-04-18 22:02:29 main:574] : INFO : Epoch 1649 | loss: 0.0311937 | val_loss: 0.0311924 | Time: 4047.69 ms [2022-04-18 22:02:33 main:574] : INFO : Epoch 1650 | loss: 0.0311935 | val_loss: 0.0311892 | Time: 4101.59 ms [2022-04-18 22:02:37 main:574] : INFO : Epoch 1651 | loss: 0.0311916 | val_loss: 0.0311891 | Time: 4113.55 ms [2022-04-18 22:02:41 main:574] : INFO : Epoch 1652 | loss: 0.0311932 | val_loss: 0.0311907 | Time: 4056.85 ms [2022-04-18 22:02:45 main:574] : INFO : Epoch 1653 | loss: 0.0311929 | val_loss: 0.031188 | Time: 4217.08 ms [2022-04-18 22:02:49 main:574] : INFO : Epoch 1654 | loss: 0.0311902 | val_loss: 0.0311875 | Time: 4111.48 ms [2022-04-18 22:02:53 main:574] : INFO : Epoch 1655 | loss: 0.0311908 | val_loss: 0.0311884 | Time: 4038.52 ms [2022-04-18 22:02:57 main:574] : INFO : Epoch 1656 | loss: 0.0311912 | val_loss: 0.0311877 | Time: 4111.26 ms [2022-04-18 22:03:02 main:574] : INFO : Epoch 1657 | loss: 0.0311911 | val_loss: 0.0311876 | Time: 4155.25 ms [2022-04-18 22:03:06 main:574] : INFO : Epoch 1658 | loss: 0.0311901 | val_loss: 0.0311873 | Time: 4080.02 ms [2022-04-18 22:03:10 main:574] : INFO : Epoch 1659 | loss: 0.0311901 | val_loss: 0.0311868 | Time: 4049.62 ms [2022-04-18 22:03:14 main:574] : INFO : Epoch 1660 | loss: 0.03119 | val_loss: 0.0311875 | Time: 4199.3 ms [2022-04-18 22:03:18 main:574] : INFO : Epoch 1661 | loss: 0.0311897 | val_loss: 0.031187 | Time: 4112.93 ms [2022-04-18 22:03:22 main:574] : INFO : Epoch 1662 | loss: 0.0311894 | val_loss: 0.0311887 | Time: 4057.34 ms [2022-04-18 22:03:26 main:574] : INFO : Epoch 1663 | loss: 0.0311905 | val_loss: 0.0311868 | Time: 4069.74 ms [2022-04-18 22:03:30 main:574] : INFO : Epoch 1664 | loss: 0.0311898 | val_loss: 0.0311888 | Time: 4040.99 ms [2022-04-18 22:03:34 main:574] : INFO : Epoch 1665 | loss: 0.0311896 | val_loss: 0.0311867 | Time: 4071.76 ms [2022-04-18 22:03:39 main:574] : INFO : Epoch 1666 | loss: 0.0311904 | val_loss: 0.0311931 | Time: 4123.85 ms [2022-04-18 22:03:43 main:574] : INFO : Epoch 1667 | loss: 0.0311891 | val_loss: 0.0311866 | Time: 4181.22 ms [2022-04-18 22:03:47 main:574] : INFO : Epoch 1668 | loss: 0.0311885 | val_loss: 0.0311864 | Time: 4049.74 ms [2022-04-18 22:03:51 main:574] : INFO : Epoch 1669 | loss: 0.0311883 | val_loss: 0.0311859 | Time: 4066.29 ms [2022-04-18 22:03:55 main:574] : INFO : Epoch 1670 | loss: 0.0311887 | val_loss: 0.0311856 | Time: 4037.93 ms [2022-04-18 22:03:59 main:574] : INFO : Epoch 1671 | loss: 0.0311884 | val_loss: 0.0311856 | Time: 4066.62 ms [2022-04-18 22:04:03 main:574] : INFO : Epoch 1672 | loss: 0.0311898 | val_loss: 0.0311867 | Time: 4049.69 ms [2022-04-18 22:04:07 main:574] : INFO : Epoch 1673 | loss: 0.0311885 | val_loss: 0.0311864 | Time: 4124.13 ms [2022-04-18 22:04:11 main:574] : INFO : Epoch 1674 | loss: 0.031189 | val_loss: 0.0311866 | Time: 4101.64 ms [2022-04-18 22:04:15 main:574] : INFO : Epoch 1675 | loss: 0.0311877 | val_loss: 0.0311853 | Time: 4159.6 ms [2022-04-18 22:04:20 main:574] : INFO : Epoch 1676 | loss: 0.0311877 | val_loss: 0.0311859 | Time: 4100.28 ms [2022-04-18 22:04:24 main:574] : INFO : Epoch 1677 | loss: 0.0311875 | val_loss: 0.031185 | Time: 4088.62 ms [2022-04-18 22:04:28 main:574] : INFO : Epoch 1678 | loss: 0.0311872 | val_loss: 0.0311862 | Time: 4121.93 ms [2022-04-18 22:04:32 main:574] : INFO : Epoch 1679 | loss: 0.031188 | val_loss: 0.0311871 | Time: 4076.33 ms [2022-04-18 22:04:36 main:574] : INFO : Epoch 1680 | loss: 0.0311876 | val_loss: 0.0311845 | Time: 4045.35 ms [2022-04-18 22:04:40 main:574] : INFO : Epoch 1681 | loss: 0.0311873 | val_loss: 0.0311847 | Time: 4081.54 ms [2022-04-18 22:04:44 main:574] : INFO : Epoch 1682 | loss: 0.0311873 | val_loss: 0.0311858 | Time: 4148.74 ms [2022-04-18 22:04:48 main:574] : INFO : Epoch 1683 | loss: 0.0311875 | val_loss: 0.0311858 | Time: 4092.65 ms [2022-04-18 22:04:52 main:574] : INFO : Epoch 1684 | loss: 0.0311881 | val_loss: 0.0311863 | Time: 4035.69 ms [2022-04-18 22:04:56 main:574] : INFO : Epoch 1685 | loss: 0.0311893 | val_loss: 0.0311882 | Time: 3966.31 ms [2022-04-18 22:05:00 main:574] : INFO : Epoch 1686 | loss: 0.0311924 | val_loss: 0.0311982 | Time: 4005.64 ms [2022-04-18 22:05:04 main:574] : INFO : Epoch 1687 | loss: 0.0312047 | val_loss: 0.03121 | Time: 4034.72 ms [2022-04-18 22:05:08 main:574] : INFO : Epoch 1688 | loss: 0.031216 | val_loss: 0.0312112 | Time: 4011.12 ms [2022-04-18 22:05:12 main:574] : INFO : Epoch 1689 | loss: 0.0312153 | val_loss: 0.0312076 | Time: 3978.63 ms [2022-04-18 22:05:16 main:574] : INFO : Epoch 1690 | loss: 0.0312133 | val_loss: 0.0312107 | Time: 4011.83 ms [2022-04-18 22:05:20 main:574] : INFO : Epoch 1691 | loss: 0.0312118 | val_loss: 0.0312062 | Time: 4006.53 ms [2022-04-18 22:05:24 main:574] : INFO : Epoch 1692 | loss: 0.0312111 | val_loss: 0.0312075 | Time: 4012.81 ms [2022-04-18 22:05:28 main:574] : INFO : Epoch 1693 | loss: 0.03121 | val_loss: 0.031205 | Time: 4023.4 ms [2022-04-18 22:05:33 main:574] : INFO : Epoch 1694 | loss: 0.0312102 | val_loss: 0.0312048 | Time: 4012.41 ms [2022-04-18 22:05:37 main:574] : INFO : Epoch 1695 | loss: 0.0312094 | val_loss: 0.031204 | Time: 4017.71 ms [2022-04-18 22:05:41 main:574] : INFO : Epoch 1696 | loss: 0.0312094 | val_loss: 0.0312037 | Time: 3999.83 ms [2022-04-18 22:05:45 main:574] : INFO : Epoch 1697 | loss: 0.0312093 | val_loss: 0.0312054 | Time: 4033.62 ms [2022-04-18 22:05:49 main:574] : INFO : Epoch 1698 | loss: 0.0312097 | val_loss: 0.0312045 | Time: 3999.31 ms [2022-04-18 22:05:53 main:574] : INFO : Epoch 1699 | loss: 0.0312135 | val_loss: 0.031215 | Time: 4012.35 ms [2022-04-18 22:05:57 main:574] : INFO : Epoch 1700 | loss: 0.0312217 | val_loss: 0.031213 | Time: 3988.62 ms [2022-04-18 22:06:01 main:574] : INFO : Epoch 1701 | loss: 0.0312154 | val_loss: 0.0312125 | Time: 4024.46 ms [2022-04-18 22:06:05 main:574] : INFO : Epoch 1702 | loss: 0.0312146 | val_loss: 0.0312096 | Time: 4019.91 ms [2022-04-18 22:06:09 main:574] : INFO : Epoch 1703 | loss: 0.0312121 | val_loss: 0.0312115 | Time: 4010.78 ms [2022-04-18 22:06:13 main:574] : INFO : Epoch 1704 | loss: 0.0312121 | val_loss: 0.0312087 | Time: 4096.8 ms [2022-04-18 22:06:17 main:574] : INFO : Epoch 1705 | loss: 0.0312111 | val_loss: 0.0312088 | Time: 3973.71 ms [2022-04-18 22:06:21 main:574] : INFO : Epoch 1706 | loss: 0.0312108 | val_loss: 0.0312089 | Time: 4028.7 ms [2022-04-18 22:06:25 main:574] : INFO : Epoch 1707 | loss: 0.031211 | val_loss: 0.0312102 | Time: 3985.96 ms [2022-04-18 22:06:29 main:574] : INFO : Epoch 1708 | loss: 0.0312118 | val_loss: 0.0312092 | Time: 3975.06 ms [2022-04-18 22:06:33 main:574] : INFO : Epoch 1709 | loss: 0.0312111 | val_loss: 0.031208 | Time: 3998.97 ms [2022-04-18 22:06:37 main:574] : INFO : Epoch 1710 | loss: 0.0312093 | val_loss: 0.0312081 | Time: 4000.49 ms [2022-04-18 22:06:41 main:574] : INFO : Epoch 1711 | loss: 0.0312101 | val_loss: 0.0312116 | Time: 4014.65 ms [2022-04-18 22:06:45 main:574] : INFO : Epoch 1712 | loss: 0.0312136 | val_loss: 0.0312153 | Time: 4033.05 ms [2022-04-18 22:06:49 main:574] : INFO : Epoch 1713 | loss: 0.0312144 | val_loss: 0.0312076 | Time: 3966.14 ms [2022-04-18 22:06:53 main:574] : INFO : Epoch 1714 | loss: 0.0312166 | val_loss: 0.031216 | Time: 3966.74 ms [2022-04-18 22:06:57 main:574] : INFO : Epoch 1715 | loss: 0.0312175 | val_loss: 0.0312212 | Time: 4020.69 ms [2022-04-18 22:07:01 main:574] : INFO : Epoch 1716 | loss: 0.0312173 | val_loss: 0.0312182 | Time: 4036.88 ms [2022-04-18 22:07:05 main:574] : INFO : Epoch 1717 | loss: 0.0312158 | val_loss: 0.0312183 | Time: 3992.96 ms [2022-04-18 22:07:09 main:574] : INFO : Epoch 1718 | loss: 0.0312139 | val_loss: 0.0312157 | Time: 4007.6 ms [2022-04-18 22:07:13 main:574] : INFO : Epoch 1719 | loss: 0.0312144 | val_loss: 0.0312147 | Time: 4139.01 ms [2022-04-18 22:07:17 main:574] : INFO : Epoch 1720 | loss: 0.0312133 | val_loss: 0.0312194 | Time: 4097.79 ms [2022-04-18 22:07:21 main:574] : INFO : Epoch 1721 | loss: 0.0312121 | val_loss: 0.0312182 | Time: 4019.6 ms [2022-04-18 22:07:25 main:574] : INFO : Epoch 1722 | loss: 0.0312123 | val_loss: 0.031213 | Time: 4038.03 ms [2022-04-18 22:07:29 main:574] : INFO : Epoch 1723 | loss: 0.0312101 | val_loss: 0.0312168 | Time: 4011.27 ms [2022-04-18 22:07:33 main:574] : INFO : Epoch 1724 | loss: 0.0312107 | val_loss: 0.0312148 | Time: 4037.56 ms [2022-04-18 22:07:37 main:574] : INFO : Epoch 1725 | loss: 0.0312097 | val_loss: 0.0312149 | Time: 4038.37 ms [2022-04-18 22:07:41 main:574] : INFO : Epoch 1726 | loss: 0.0312099 | val_loss: 0.0312136 | Time: 4005.29 ms [2022-04-18 22:07:46 main:574] : INFO : Epoch 1727 | loss: 0.0312106 | val_loss: 0.0312112 | Time: 4451.96 ms [2022-04-18 22:07:50 main:574] : INFO : Epoch 1728 | loss: 0.031208 | val_loss: 0.0312103 | Time: 4170.57 ms [2022-04-18 22:07:54 main:574] : INFO : Epoch 1729 | loss: 0.0312083 | val_loss: 0.0312108 | Time: 4269.04 ms [2022-04-18 22:07:59 main:574] : INFO : Epoch 1730 | loss: 0.0312068 | val_loss: 0.0312118 | Time: 4185.26 ms [2022-04-18 22:08:03 main:574] : INFO : Epoch 1731 | loss: 0.0312061 | val_loss: 0.0312088 | Time: 4211.86 ms [2022-04-18 22:08:07 main:574] : INFO : Epoch 1732 | loss: 0.0312058 | val_loss: 0.0312092 | Time: 4188.8 ms [2022-04-18 22:08:11 main:574] : INFO : Epoch 1733 | loss: 0.031207 | val_loss: 0.0312106 | Time: 4026.39 ms [2022-04-18 22:08:15 main:574] : INFO : Epoch 1734 | loss: 0.0312082 | val_loss: 0.0312112 | Time: 4068.5 ms [2022-04-18 22:08:19 main:574] : INFO : Epoch 1735 | loss: 0.0312078 | val_loss: 0.0312084 | Time: 4029.13 ms [2022-04-18 22:08:23 main:574] : INFO : Epoch 1736 | loss: 0.0312052 | val_loss: 0.031207 | Time: 4062.98 ms [2022-04-18 22:08:27 main:574] : INFO : Epoch 1737 | loss: 0.0312051 | val_loss: 0.0312086 | Time: 3983.21 ms [2022-04-18 22:08:31 main:574] : INFO : Epoch 1738 | loss: 0.0312111 | val_loss: 0.0312107 | Time: 4014.71 ms [2022-04-18 22:08:35 main:574] : INFO : Epoch 1739 | loss: 0.0312117 | val_loss: 0.0312109 | Time: 4011.55 ms [2022-04-18 22:08:39 main:574] : INFO : Epoch 1740 | loss: 0.0312121 | val_loss: 0.0312092 | Time: 3975.24 ms [2022-04-18 22:08:43 main:574] : INFO : Epoch 1741 | loss: 0.0312107 | val_loss: 0.0312076 | Time: 4006.81 ms [2022-04-18 22:08:47 main:574] : INFO : Epoch 1742 | loss: 0.0312088 | val_loss: 0.0312074 | Time: 4010.8 ms [2022-04-18 22:08:51 main:574] : INFO : Epoch 1743 | loss: 0.0312087 | val_loss: 0.0312066 | Time: 4011.86 ms [2022-04-18 22:08:55 main:574] : INFO : Epoch 1744 | loss: 0.0312081 | val_loss: 0.0312064 | Time: 4029.34 ms [2022-04-18 22:08:59 main:574] : INFO : Epoch 1745 | loss: 0.0312079 | val_loss: 0.0312071 | Time: 4009.75 ms [2022-04-18 22:09:03 main:574] : INFO : Epoch 1746 | loss: 0.0312093 | val_loss: 0.0312094 | Time: 3991.67 ms [2022-04-18 22:09:07 main:574] : INFO : Epoch 1747 | loss: 0.0312091 | val_loss: 0.0312067 | Time: 4007.95 ms [2022-04-18 22:09:11 main:574] : INFO : Epoch 1748 | loss: 0.0312103 | val_loss: 0.0312069 | Time: 4041.67 ms [2022-04-18 22:09:16 main:574] : INFO : Epoch 1749 | loss: 0.0312109 | val_loss: 0.0312117 | Time: 4060.77 ms [2022-04-18 22:09:20 main:574] : INFO : Epoch 1750 | loss: 0.031208 | val_loss: 0.0312102 | Time: 4018.5 ms [2022-04-18 22:09:24 main:574] : INFO : Epoch 1751 | loss: 0.0312075 | val_loss: 0.0312079 | Time: 4048.24 ms [2022-04-18 22:09:28 main:574] : INFO : Epoch 1752 | loss: 0.0312066 | val_loss: 0.0312062 | Time: 4029.29 ms [2022-04-18 22:09:32 main:574] : INFO : Epoch 1753 | loss: 0.0312085 | val_loss: 0.0312076 | Time: 3967.27 ms [2022-04-18 22:09:36 main:574] : INFO : Epoch 1754 | loss: 0.0312067 | val_loss: 0.0312071 | Time: 3952.2 ms [2022-04-18 22:09:40 main:574] : INFO : Epoch 1755 | loss: 0.0312063 | val_loss: 0.0312063 | Time: 4071.92 ms [2022-04-18 22:09:44 main:574] : INFO : Epoch 1756 | loss: 0.0312065 | val_loss: 0.0312055 | Time: 4078.23 ms [2022-04-18 22:09:48 main:574] : INFO : Epoch 1757 | loss: 0.0312051 | val_loss: 0.0312065 | Time: 4000.44 ms [2022-04-18 22:09:52 main:574] : INFO : Epoch 1758 | loss: 0.0312054 | val_loss: 0.0312101 | Time: 4073.57 ms [2022-04-18 22:09:56 main:574] : INFO : Epoch 1759 | loss: 0.0312074 | val_loss: 0.0312076 | Time: 3981.1 ms [2022-04-18 22:10:00 main:574] : INFO : Epoch 1760 | loss: 0.0312045 | val_loss: 0.0312074 | Time: 4008.96 ms [2022-04-18 22:10:04 main:574] : INFO : Epoch 1761 | loss: 0.0312049 | val_loss: 0.0312064 | Time: 4006.13 ms [2022-04-18 22:10:08 main:574] : INFO : Epoch 1762 | loss: 0.0312046 | val_loss: 0.0312059 | Time: 4091.03 ms [2022-04-18 22:10:12 main:574] : INFO : Epoch 1763 | loss: 0.0312046 | val_loss: 0.0312073 | Time: 4001.19 ms [2022-04-18 22:10:16 main:574] : INFO : Epoch 1764 | loss: 0.0312061 | val_loss: 0.0312067 | Time: 4059.4 ms [2022-04-18 22:10:20 main:574] : INFO : Epoch 1765 | loss: 0.0312034 | val_loss: 0.0312055 | Time: 3981.84 ms [2022-04-18 22:10:24 main:574] : INFO : Epoch 1766 | loss: 0.0312031 | val_loss: 0.031213 | Time: 3975.97 ms [2022-04-18 22:10:28 main:574] : INFO : Epoch 1767 | loss: 0.0312035 | val_loss: 0.0312025 | Time: 3987.68 ms [2022-04-18 22:10:32 main:574] : INFO : Epoch 1768 | loss: 0.0312017 | val_loss: 0.031204 | Time: 3996.35 ms [2022-04-18 22:10:36 main:574] : INFO : Epoch 1769 | loss: 0.0312021 | val_loss: 0.0312023 | Time: 3969.51 ms [2022-04-18 22:10:40 main:574] : INFO : Epoch 1770 | loss: 0.0312015 | val_loss: 0.0312049 | Time: 4024.42 ms [2022-04-18 22:10:44 main:574] : INFO : Epoch 1771 | loss: 0.0312009 | val_loss: 0.0312036 | Time: 4059.46 ms [2022-04-18 22:10:48 main:574] : INFO : Epoch 1772 | loss: 0.0311997 | val_loss: 0.0312034 | Time: 3975.12 ms [2022-04-18 22:10:52 main:574] : INFO : Epoch 1773 | loss: 0.0311998 | val_loss: 0.0312057 | Time: 4003.31 ms [2022-04-18 22:10:56 main:574] : INFO : Epoch 1774 | loss: 0.0312004 | val_loss: 0.0312029 | Time: 3998.01 ms [2022-04-18 22:11:00 main:574] : INFO : Epoch 1775 | loss: 0.0312014 | val_loss: 0.0312036 | Time: 4029.24 ms [2022-04-18 22:11:04 main:574] : INFO : Epoch 1776 | loss: 0.0312004 | val_loss: 0.0312025 | Time: 4022.16 ms [2022-04-18 22:11:08 main:574] : INFO : Epoch 1777 | loss: 0.0312 | val_loss: 0.0312021 | Time: 4008.2 ms [2022-04-18 22:11:12 main:574] : INFO : Epoch 1778 | loss: 0.0311997 | val_loss: 0.0312019 | Time: 3997.73 ms [2022-04-18 22:11:16 main:574] : INFO : Epoch 1779 | loss: 0.031199 | val_loss: 0.0312027 | Time: 4062.26 ms [2022-04-18 22:11:20 main:574] : INFO : Epoch 1780 | loss: 0.0312003 | val_loss: 0.0312035 | Time: 4027.17 ms [2022-04-18 22:11:24 main:574] : INFO : Epoch 1781 | loss: 0.0311986 | val_loss: 0.0312017 | Time: 3991.05 ms [2022-04-18 22:11:28 main:574] : INFO : Epoch 1782 | loss: 0.031198 | val_loss: 0.0312022 | Time: 4004.96 ms [2022-04-18 22:11:32 main:574] : INFO : Epoch 1783 | loss: 0.0311977 | val_loss: 0.0312023 | Time: 4022.92 ms [2022-04-18 22:11:36 main:574] : INFO : Epoch 1784 | loss: 0.031198 | val_loss: 0.0312012 | Time: 3987.31 ms [2022-04-18 22:11:40 main:574] : INFO : Epoch 1785 | loss: 0.0311986 | val_loss: 0.0312031 | Time: 4037.86 ms [2022-04-18 22:11:45 main:574] : INFO : Epoch 1786 | loss: 0.0311994 | val_loss: 0.0312038 | Time: 4071.05 ms [2022-04-18 22:11:49 main:574] : INFO : Epoch 1787 | loss: 0.0311983 | val_loss: 0.0312032 | Time: 3999.2 ms [2022-04-18 22:11:53 main:574] : INFO : Epoch 1788 | loss: 0.0311979 | val_loss: 0.0312023 | Time: 4144.26 ms [2022-04-18 22:11:57 main:574] : INFO : Epoch 1789 | loss: 0.0311974 | val_loss: 0.0312021 | Time: 4503.9 ms [2022-04-18 22:12:01 main:574] : INFO : Epoch 1790 | loss: 0.031201 | val_loss: 0.0312025 | Time: 4233.61 ms [2022-04-18 22:12:05 main:574] : INFO : Epoch 1791 | loss: 0.0312009 | val_loss: 0.0312023 | Time: 4013.96 ms [2022-04-18 22:12:10 main:574] : INFO : Epoch 1792 | loss: 0.0312006 | val_loss: 0.0312036 | Time: 4040.67 ms [2022-04-18 22:12:14 main:574] : INFO : Epoch 1793 | loss: 0.0312003 | val_loss: 0.0312012 | Time: 4121.02 ms [2022-04-18 22:12:18 main:574] : INFO : Epoch 1794 | loss: 0.0311998 | val_loss: 0.031201 | Time: 3969.29 ms [2022-04-18 22:12:22 main:574] : INFO : Epoch 1795 | loss: 0.0311985 | val_loss: 0.0312007 | Time: 3978.99 ms [2022-04-18 22:12:26 main:574] : INFO : Epoch 1796 | loss: 0.0312004 | val_loss: 0.0312109 | Time: 3969.4 ms [2022-04-18 22:12:30 main:574] : INFO : Epoch 1797 | loss: 0.0312026 | val_loss: 0.0312047 | Time: 4014.09 ms [2022-04-18 22:12:34 main:574] : INFO : Epoch 1798 | loss: 0.0311984 | val_loss: 0.0312019 | Time: 3999.96 ms [2022-04-18 22:12:38 main:574] : INFO : Epoch 1799 | loss: 0.0311979 | val_loss: 0.0312004 | Time: 4051.06 ms [2022-04-18 22:12:42 main:574] : INFO : Epoch 1800 | loss: 0.0311966 | val_loss: 0.0312029 | Time: 4037.96 ms [2022-04-18 22:12:46 main:574] : INFO : Epoch 1801 | loss: 0.0311974 | val_loss: 0.0312009 | Time: 4144.13 ms [2022-04-18 22:12:50 main:574] : INFO : Epoch 1802 | loss: 0.0311957 | val_loss: 0.0312017 | Time: 4028.93 ms [2022-04-18 22:12:54 main:574] : INFO : Epoch 1803 | loss: 0.031197 | val_loss: 0.0311994 | Time: 4008.06 ms [2022-04-18 22:12:58 main:574] : INFO : Epoch 1804 | loss: 0.031198 | val_loss: 0.0312014 | Time: 4010.15 ms [2022-04-18 22:13:02 main:574] : INFO : Epoch 1805 | loss: 0.0311991 | val_loss: 0.031215 | Time: 4027.71 ms [2022-04-18 22:13:06 main:574] : INFO : Epoch 1806 | loss: 0.0312247 | val_loss: 0.0313545 | Time: 3975.1 ms [2022-04-18 22:13:10 main:574] : INFO : Epoch 1807 | loss: 0.0381006 | val_loss: 0.0346455 | Time: 3987.37 ms [2022-04-18 22:13:14 main:574] : INFO : Epoch 1808 | loss: 0.0372193 | val_loss: 0.0365544 | Time: 4077.63 ms [2022-04-18 22:13:18 main:574] : INFO : Epoch 1809 | loss: 0.0326402 | val_loss: 0.0314824 | Time: 3996.36 ms [2022-04-18 22:13:22 main:574] : INFO : Epoch 1810 | loss: 0.0314153 | val_loss: 0.0313082 | Time: 3991.75 ms [2022-04-18 22:13:26 main:574] : INFO : Epoch 1811 | loss: 0.031277 | val_loss: 0.0312458 | Time: 3950.85 ms [2022-04-18 22:13:30 main:574] : INFO : Epoch 1812 | loss: 0.0312461 | val_loss: 0.0312373 | Time: 4000.06 ms [2022-04-18 22:13:34 main:574] : INFO : Epoch 1813 | loss: 0.0312356 | val_loss: 0.0312313 | Time: 3986.49 ms [2022-04-18 22:13:38 main:574] : INFO : Epoch 1814 | loss: 0.03123 | val_loss: 0.0312279 | Time: 4034.69 ms [2022-04-18 22:13:42 main:574] : INFO : Epoch 1815 | loss: 0.0312268 | val_loss: 0.0312261 | Time: 4041.35 ms [2022-04-18 22:13:46 main:574] : INFO : Epoch 1816 | loss: 0.0312248 | val_loss: 0.0312231 | Time: 4106.41 ms [2022-04-18 22:13:50 main:574] : INFO : Epoch 1817 | loss: 0.0312227 | val_loss: 0.0312219 | Time: 4009.96 ms [2022-04-18 22:13:54 main:574] : INFO : Epoch 1818 | loss: 0.0312222 | val_loss: 0.0312211 | Time: 4067.56 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce RTX 2080 Ti) [2022-04-22 09:01:16 main:435] : INFO : Set logging level to 1 [2022-04-22 09:01:16 main:441] : INFO : Running in BOINC Client mode [2022-04-22 09:01:16 main:444] : INFO : Resolving all filenames [2022-04-22 09:01:16 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-04-22 09:01:16 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-04-22 09:01:16 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-04-22 09:01:16 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1) [2022-04-22 09:01:16 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-04-22 09:01:16 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-04-22 09:01:16 main:474] : INFO : Configuration: [2022-04-22 09:01:16 main:475] : INFO : Model type: GRU [2022-04-22 09:01:16 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-04-22 09:01:16 main:477] : INFO : Max Epochs: 2048 [2022-04-22 09:01:16 main:478] : INFO : Batch Size: 128 [2022-04-22 09:01:16 main:479] : INFO : Learning Rate: 0.01 [2022-04-22 09:01:16 main:480] : INFO : Patience: 10 [2022-04-22 09:01:16 main:481] : INFO : Hidden Width: 12 [2022-04-22 09:01:16 main:482] : INFO : # Recurrent Layers: 4 [2022-04-22 09:01:16 main:483] : INFO : # Backend Layers: 4 [2022-04-22 09:01:16 main:484] : INFO : # Threads: 1 [2022-04-22 09:01:16 main:486] : INFO : Preparing Dataset [2022-04-22 09:01:16 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-04-22 09:01:16 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory [2022-04-22 09:01:19 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2022-04-22 09:01:19 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory [2022-04-22 09:01:19 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory [2022-04-22 09:01:19 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2022-04-22 09:01:19 main:494] : INFO : Creating Model [2022-04-22 09:01:19 main:507] : INFO : Preparing config file [2022-04-22 09:01:19 main:511] : INFO : Found checkpoint, attempting to load... [2022-04-22 09:01:19 main:512] : INFO : Loading config [2022-04-22 09:01:19 main:514] : INFO : Loading state [2022-04-22 09:01:21 main:559] : INFO : Loading DataLoader into Memory [2022-04-22 09:01:21 main:562] : INFO : Starting Training [2022-04-22 09:01:26 main:574] : INFO : Epoch 1816 | loss: 0.0328345 | val_loss: 0.0316371 | Time: 4898.92 ms [2022-04-22 09:01:30 main:574] : INFO : Epoch 1817 | loss: 0.0313876 | val_loss: 0.0313007 | Time: 4192.61 ms [2022-04-22 09:01:35 main:574] : INFO : Epoch 1818 | loss: 0.0312702 | val_loss: 0.031251 | Time: 4594.62 ms [2022-04-22 09:01:39 main:574] : INFO : Epoch 1819 | loss: 0.0312448 | val_loss: 0.0312393 | Time: 4136.62 ms [2022-04-22 09:01:44 main:574] : INFO : Epoch 1820 | loss: 0.0312355 | val_loss: 0.0312316 | Time: 4742.1 ms [2022-04-22 09:01:48 main:574] : INFO : Epoch 1821 | loss: 0.0312286 | val_loss: 0.0312269 | Time: 4331.71 ms [2022-04-22 09:01:52 main:574] : INFO : Epoch 1822 | loss: 0.0312238 | val_loss: 0.0312188 | Time: 4078.09 ms [2022-04-22 09:01:56 main:574] : INFO : Epoch 1823 | loss: 0.0312179 | val_loss: 0.0312141 | Time: 4020.22 ms [2022-04-22 09:02:00 main:574] : INFO : Epoch 1824 | loss: 0.0312136 | val_loss: 0.0312111 | Time: 3960.16 ms [2022-04-22 09:02:04 main:574] : INFO : Epoch 1825 | loss: 0.0312092 | val_loss: 0.0312073 | Time: 4115.29 ms [2022-04-22 09:02:08 main:574] : INFO : Epoch 1826 | loss: 0.0312112 | val_loss: 0.0312168 | Time: 3917.55 ms [2022-04-22 09:02:12 main:574] : INFO : Epoch 1827 | loss: 0.0312146 | val_loss: 0.0312134 | Time: 3896.83 ms [2022-04-22 09:02:16 main:574] : INFO : Epoch 1828 | loss: 0.0312119 | val_loss: 0.0312133 | Time: 4028.22 ms [2022-04-22 09:02:20 main:574] : INFO : Epoch 1829 | loss: 0.0312116 | val_loss: 0.0312142 | Time: 4024.17 ms [2022-04-22 09:02:24 main:574] : INFO : Epoch 1830 | loss: 0.0312124 | val_loss: 0.0312129 | Time: 3939.76 ms [2022-04-22 09:02:28 main:574] : INFO : Epoch 1831 | loss: 0.0312116 | val_loss: 0.0312136 | Time: 3938.04 ms [2022-04-22 09:02:32 main:574] : INFO : Epoch 1832 | loss: 0.0312109 | val_loss: 0.0312126 | Time: 4151.25 ms [2022-04-22 09:02:36 main:574] : INFO : Epoch 1833 | loss: 0.0312097 | val_loss: 0.0312104 | Time: 3897.46 ms [2022-04-22 09:02:40 main:574] : INFO : Epoch 1834 | loss: 0.0312082 | val_loss: 0.0312101 | Time: 4134.12 ms [2022-04-22 09:02:44 main:574] : INFO : Epoch 1835 | loss: 0.0312089 | val_loss: 0.0312106 | Time: 3961.17 ms [2022-04-22 09:02:49 main:574] : INFO : Epoch 1836 | loss: 0.0312082 | val_loss: 0.0312101 | Time: 4114.78 ms [2022-04-22 09:02:53 main:574] : INFO : Epoch 1837 | loss: 0.0312061 | val_loss: 0.0312101 | Time: 3958.09 ms [2022-04-22 09:02:56 main:574] : INFO : Epoch 1838 | loss: 0.031205 | val_loss: 0.0312074 | Time: 3943.07 ms [2022-04-22 09:03:01 main:574] : INFO : Epoch 1839 | loss: 0.0312046 | val_loss: 0.0312076 | Time: 3998.45 ms [2022-04-22 09:03:05 main:574] : INFO : Epoch 1840 | loss: 0.031204 | val_loss: 0.0312073 | Time: 4011.91 ms [2022-04-22 09:03:09 main:574] : INFO : Epoch 1841 | loss: 0.0312036 | val_loss: 0.0312055 | Time: 3960.05 ms [2022-04-22 09:03:13 main:574] : INFO : Epoch 1842 | loss: 0.0312034 | val_loss: 0.0312036 | Time: 4265.07 ms [2022-04-22 09:03:17 main:574] : INFO : Epoch 1843 | loss: 0.0312035 | val_loss: 0.0312044 | Time: 4033.87 ms [2022-04-22 09:03:21 main:574] : INFO : Epoch 1844 | loss: 0.0312022 | val_loss: 0.0312046 | Time: 3917.95 ms [2022-04-22 09:03:25 main:574] : INFO : Epoch 1845 | loss: 0.0312022 | val_loss: 0.0312033 | Time: 4009.71 ms [2022-04-22 09:03:29 main:574] : INFO : Epoch 1846 | loss: 0.0312025 | val_loss: 0.0312036 | Time: 4349.26 ms [2022-04-22 09:03:34 main:574] : INFO : Epoch 1847 | loss: 0.0312024 | val_loss: 0.0312047 | Time: 4382.03 ms [2022-04-22 09:03:38 main:574] : INFO : Epoch 1848 | loss: 0.0312022 | val_loss: 0.0312046 | Time: 4516.72 ms [2022-04-22 09:03:43 main:574] : INFO : Epoch 1849 | loss: 0.0312048 | val_loss: 0.0312039 | Time: 4953.27 ms [2022-04-22 09:03:47 main:574] : INFO : Epoch 1850 | loss: 0.0312047 | val_loss: 0.031204 | Time: 4274.26 ms [2022-04-22 09:03:52 main:574] : INFO : Epoch 1851 | loss: 0.0312011 | val_loss: 0.0312045 | Time: 4754.43 ms [2022-04-22 09:03:57 main:574] : INFO : Epoch 1852 | loss: 0.031201 | val_loss: 0.0312029 | Time: 5217.28 ms [2022-04-22 09:04:02 main:574] : INFO : Epoch 1853 | loss: 0.031201 | val_loss: 0.0312029 | Time: 4960.15 ms [2022-04-22 09:04:07 main:574] : INFO : Epoch 1854 | loss: 0.0312011 | val_loss: 0.0312022 | Time: 4573 ms [2022-04-22 09:04:11 main:574] : INFO : Epoch 1855 | loss: 0.0312018 | val_loss: 0.0312035 | Time: 4112.4 ms [2022-04-22 09:04:15 main:574] : INFO : Epoch 1856 | loss: 0.0312 | val_loss: 0.0312037 | Time: 3938.3 ms [2022-04-22 09:04:19 main:574] : INFO : Epoch 1857 | loss: 0.0311996 | val_loss: 0.0312021 | Time: 3980.57 ms [2022-04-22 09:04:23 main:574] : INFO : Epoch 1858 | loss: 0.0312005 | val_loss: 0.0312041 | Time: 4040.71 ms [2022-04-22 09:04:27 main:574] : INFO : Epoch 1859 | loss: 0.0311991 | val_loss: 0.0312031 | Time: 4026.24 ms [2022-04-22 09:04:31 main:574] : INFO : Epoch 1860 | loss: 0.0311992 | val_loss: 0.0312027 | Time: 4024.87 ms [2022-04-22 09:04:35 main:574] : INFO : Epoch 1861 | loss: 0.0312 | val_loss: 0.0312017 | Time: 3935.1 ms [2022-04-22 09:04:39 main:574] : INFO : Epoch 1862 | loss: 0.0311996 | val_loss: 0.0312033 | Time: 4012.33 ms [2022-04-22 09:04:43 main:574] : INFO : Epoch 1863 | loss: 0.0311991 | val_loss: 0.0312043 | Time: 3970.23 ms [2022-04-22 09:04:47 main:574] : INFO : Epoch 1864 | loss: 0.0311993 | val_loss: 0.0312036 | Time: 4133.34 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce RTX 2080 Ti) [2022-04-22 20:41:50 main:435] : INFO : Set logging level to 1 [2022-04-22 20:41:50 main:441] : INFO : Running in BOINC Client mode [2022-04-22 20:41:50 main:444] : INFO : Resolving all filenames [2022-04-22 20:41:50 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-04-22 20:41:50 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-04-22 20:41:50 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-04-22 20:41:50 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1) [2022-04-22 20:41:50 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-04-22 20:41:50 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-04-22 20:41:50 main:474] : INFO : Configuration: [2022-04-22 20:41:50 main:475] : INFO : Model type: GRU [2022-04-22 20:41:50 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-04-22 20:41:50 main:477] : INFO : Max Epochs: 2048 [2022-04-22 20:41:50 main:478] : INFO : Batch Size: 128 [2022-04-22 20:41:50 main:479] : INFO : Learning Rate: 0.01 [2022-04-22 20:41:50 main:480] : INFO : Patience: 10 [2022-04-22 20:41:50 main:481] : INFO : Hidden Width: 12 [2022-04-22 20:41:50 main:482] : INFO : # Recurrent Layers: 4 [2022-04-22 20:41:50 main:483] : INFO : # Backend Layers: 4 [2022-04-22 20:41:50 main:484] : INFO : # Threads: 1 [2022-04-22 20:41:50 main:486] : INFO : Preparing Dataset [2022-04-22 20:41:50 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-04-22 20:41:50 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory [2022-04-22 20:41:53 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2022-04-22 20:41:53 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory [2022-04-22 20:41:53 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory [2022-04-22 20:41:53 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2022-04-22 20:41:53 main:494] : INFO : Creating Model [2022-04-22 20:41:53 main:507] : INFO : Preparing config file [2022-04-22 20:41:53 main:511] : INFO : Found checkpoint, attempting to load... [2022-04-22 20:41:53 main:512] : INFO : Loading config [2022-04-22 20:41:53 main:514] : INFO : Loading state [2022-04-22 20:41:55 main:559] : INFO : Loading DataLoader into Memory [2022-04-22 20:41:55 main:562] : INFO : Starting Training [2022-04-22 20:42:00 main:574] : INFO : Epoch 1864 | loss: 0.0319448 | val_loss: 0.0313707 | Time: 4741.94 ms [2022-04-22 20:42:04 main:574] : INFO : Epoch 1865 | loss: 0.0312811 | val_loss: 0.0312487 | Time: 4035.74 ms [2022-04-22 20:42:08 main:574] : INFO : Epoch 1866 | loss: 0.0312277 | val_loss: 0.0312188 | Time: 4079.89 ms [2022-04-22 20:42:12 main:574] : INFO : Epoch 1867 | loss: 0.0312142 | val_loss: 0.0312139 | Time: 4070.3 ms [2022-04-22 20:42:16 main:574] : INFO : Epoch 1868 | loss: 0.0312097 | val_loss: 0.0312098 | Time: 4042.18 ms [2022-04-22 20:42:20 main:574] : INFO : Epoch 1869 | loss: 0.0312074 | val_loss: 0.0312076 | Time: 4094.4 ms [2022-04-22 20:42:24 main:574] : INFO : Epoch 1870 | loss: 0.0312063 | val_loss: 0.0312082 | Time: 4269.82 ms [2022-04-22 20:42:28 main:574] : INFO : Epoch 1871 | loss: 0.0312058 | val_loss: 0.0312052 | Time: 4261.56 ms [2022-04-22 20:42:33 main:574] : INFO : Epoch 1872 | loss: 0.0312045 | val_loss: 0.0312048 | Time: 4184.41 ms [2022-04-22 20:42:37 main:574] : INFO : Epoch 1873 | loss: 0.0312043 | val_loss: 0.0312047 | Time: 4111.77 ms [2022-04-22 20:42:41 main:574] : INFO : Epoch 1874 | loss: 0.0312033 | val_loss: 0.0312029 | Time: 4006.54 ms [2022-04-22 20:42:45 main:574] : INFO : Epoch 1875 | loss: 0.0312025 | val_loss: 0.0312026 | Time: 3995.72 ms [2022-04-22 20:42:49 main:574] : INFO : Epoch 1876 | loss: 0.0312022 | val_loss: 0.0312018 | Time: 4115.02 ms [2022-04-22 20:42:53 main:574] : INFO : Epoch 1877 | loss: 0.0312024 | val_loss: 0.0312039 | Time: 4043.94 ms [2022-04-22 20:42:57 main:574] : INFO : Epoch 1878 | loss: 0.0312016 | val_loss: 0.0312003 | Time: 4066.41 ms [2022-04-22 20:43:01 main:574] : INFO : Epoch 1879 | loss: 0.0312005 | val_loss: 0.0312 | Time: 4072.07 ms [2022-04-22 20:43:05 main:574] : INFO : Epoch 1880 | loss: 0.0312006 | val_loss: 0.0312003 | Time: 4074.89 ms [2022-04-22 20:43:09 main:574] : INFO : Epoch 1881 | loss: 0.0312 | val_loss: 0.0311999 | Time: 4052.74 ms [2022-04-22 20:43:13 main:574] : INFO : Epoch 1882 | loss: 0.0311998 | val_loss: 0.0311999 | Time: 4096.49 ms [2022-04-22 20:43:18 main:574] : INFO : Epoch 1883 | loss: 0.0311994 | val_loss: 0.0312011 | Time: 4073.81 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce RTX 2080 Ti) [2022-04-25 11:59:19 main:435] : INFO : Set logging level to 1 [2022-04-25 11:59:19 main:441] : INFO : Running in BOINC Client mode [2022-04-25 11:59:19 main:444] : INFO : Resolving all filenames [2022-04-25 11:59:19 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-04-25 11:59:19 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-04-25 11:59:19 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-04-25 11:59:19 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1) [2022-04-25 11:59:19 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-04-25 11:59:19 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-04-25 11:59:19 main:474] : INFO : Configuration: [2022-04-25 11:59:19 main:475] : INFO : Model type: GRU [2022-04-25 11:59:19 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-04-25 11:59:19 main:477] : INFO : Max Epochs: 2048 [2022-04-25 11:59:19 main:478] : INFO : Batch Size: 128 [2022-04-25 11:59:19 main:479] : INFO : Learning Rate: 0.01 [2022-04-25 11:59:19 main:480] : INFO : Patience: 10 [2022-04-25 11:59:19 main:481] : INFO : Hidden Width: 12 [2022-04-25 11:59:19 main:482] : INFO : # Recurrent Layers: 4 [2022-04-25 11:59:19 main:483] : INFO : # Backend Layers: 4 [2022-04-25 11:59:19 main:484] : INFO : # Threads: 1 [2022-04-25 11:59:19 main:486] : INFO : Preparing Dataset [2022-04-25 11:59:19 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-04-25 11:59:22 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory [2022-04-25 11:59:37 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2022-04-25 11:59:37 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory [2022-04-25 11:59:37 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory [2022-04-25 11:59:37 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2022-04-25 11:59:37 main:494] : INFO : Creating Model [2022-04-25 11:59:37 main:507] : INFO : Preparing config file [2022-04-25 11:59:37 main:511] : INFO : Found checkpoint, attempting to load... [2022-04-25 11:59:37 main:512] : INFO : Loading config [2022-04-25 11:59:37 main:514] : INFO : Loading state [2022-04-25 11:59:53 main:559] : INFO : Loading DataLoader into Memory [2022-04-25 11:59:53 main:562] : INFO : Starting Training [2022-04-25 12:00:07 main:574] : INFO : Epoch 1879 | loss: 0.0314051 | val_loss: 0.0312463 | Time: 13688.4 ms [2022-04-25 12:00:17 main:574] : INFO : Epoch 1880 | loss: 0.031233 | val_loss: 0.0312148 | Time: 10060.1 ms [2022-04-25 12:00:27 main:574] : INFO : Epoch 1881 | loss: 0.031212 | val_loss: 0.0312087 | Time: 9644.99 ms [2022-04-25 12:00:38 main:574] : INFO : Epoch 1882 | loss: 0.0312071 | val_loss: 0.0312043 | Time: 10822.8 ms [2022-04-25 12:00:48 main:574] : INFO : Epoch 1883 | loss: 0.0312046 | val_loss: 0.0312031 | Time: 10683 ms [2022-04-25 12:01:01 main:574] : INFO : Epoch 1884 | loss: 0.031204 | val_loss: 0.0312033 | Time: 13078.8 ms [2022-04-25 12:01:24 main:574] : INFO : Epoch 1885 | loss: 0.0312029 | val_loss: 0.0312031 | Time: 22785.8 ms [2022-04-25 12:01:35 main:574] : INFO : Epoch 1886 | loss: 0.0312038 | val_loss: 0.0312033 | Time: 11085.6 ms [2022-04-25 12:01:44 main:574] : INFO : Epoch 1887 | loss: 0.0312049 | val_loss: 0.0312051 | Time: 8899.06 ms [2022-04-25 12:01:54 main:574] : INFO : Epoch 1888 | loss: 0.0312066 | val_loss: 0.0312044 | Time: 9297.27 ms [2022-04-25 12:02:03 main:574] : INFO : Epoch 1889 | loss: 0.0312051 | val_loss: 0.0312035 | Time: 8816.8 ms [2022-04-25 12:02:11 main:574] : INFO : Epoch 1890 | loss: 0.0312051 | val_loss: 0.0312041 | Time: 8091.73 ms [2022-04-25 12:02:19 main:574] : INFO : Epoch 1891 | loss: 0.0312051 | val_loss: 0.0312085 | Time: 8158.07 ms [2022-04-25 12:02:27 main:574] : INFO : Epoch 1892 | loss: 0.0312049 | val_loss: 0.0312023 | Time: 8066.87 ms [2022-04-25 12:02:35 main:574] : INFO : Epoch 1893 | loss: 0.031203 | val_loss: 0.0312024 | Time: 8188.94 ms [2022-04-25 12:02:44 main:574] : INFO : Epoch 1894 | loss: 0.0312043 | val_loss: 0.0312041 | Time: 9205.94 ms [2022-04-25 12:02:55 main:574] : INFO : Epoch 1895 | loss: 0.0312023 | val_loss: 0.0312009 | Time: 10587.9 ms [2022-04-25 12:03:04 main:574] : INFO : Epoch 1896 | loss: 0.0312007 | val_loss: 0.0312014 | Time: 8764.77 ms [2022-04-25 12:03:12 main:574] : INFO : Epoch 1897 | loss: 0.0312014 | val_loss: 0.031206 | Time: 8314.85 ms [2022-04-25 12:03:21 main:574] : INFO : Epoch 1898 | loss: 0.0312024 | val_loss: 0.0312004 | Time: 9198.62 ms [2022-04-25 12:03:32 main:574] : INFO : Epoch 1899 | loss: 0.0312029 | val_loss: 0.0312006 | Time: 10569.4 ms [2022-04-25 12:03:42 main:574] : INFO : Epoch 1900 | loss: 0.0312032 | val_loss: 0.0312009 | Time: 9671.98 ms [2022-04-25 12:03:51 main:574] : INFO : Epoch 1901 | loss: 0.0312022 | val_loss: 0.0312018 | Time: 9140.6 ms [2022-04-25 12:04:03 main:574] : INFO : Epoch 1902 | loss: 0.0312029 | val_loss: 0.0312001 | Time: 12616.5 ms [2022-04-25 12:04:16 main:574] : INFO : Epoch 1903 | loss: 0.0312021 | val_loss: 0.0312041 | Time: 12025 ms [2022-04-25 12:04:26 main:574] : INFO : Epoch 1904 | loss: 0.0312051 | val_loss: 0.0312082 | Time: 10136.2 ms [2022-04-25 12:04:36 main:574] : INFO : Epoch 1905 | loss: 0.0312082 | val_loss: 0.031209 | Time: 10483.1 ms [2022-04-25 12:04:46 main:574] : INFO : Epoch 1906 | loss: 0.0312136 | val_loss: 0.0312145 | Time: 9553.44 ms [2022-04-25 12:04:55 main:574] : INFO : Epoch 1907 | loss: 0.0312182 | val_loss: 0.0312158 | Time: 9263.73 ms [2022-04-25 12:05:04 main:574] : INFO : Epoch 1908 | loss: 0.0312134 | val_loss: 0.0312169 | Time: 8591.36 ms [2022-04-25 12:05:12 main:574] : INFO : Epoch 1909 | loss: 0.0312219 | val_loss: 0.03122 | Time: 8689.67 ms [2022-04-25 12:05:22 main:574] : INFO : Epoch 1910 | loss: 0.0312203 | val_loss: 0.0312224 | Time: 9790.4 ms [2022-04-25 12:05:32 main:574] : INFO : Epoch 1911 | loss: 0.0312221 | val_loss: 0.0312239 | Time: 10101.6 ms [2022-04-25 12:05:41 main:574] : INFO : Epoch 1912 | loss: 0.0312206 | val_loss: 0.0312225 | Time: 9092.23 ms [2022-04-25 12:05:51 main:574] : INFO : Epoch 1913 | loss: 0.0312193 | val_loss: 0.0312189 | Time: 9580.99 ms [2022-04-25 12:06:04 main:574] : INFO : Epoch 1914 | loss: 0.031217 | val_loss: 0.0312185 | Time: 13235.1 ms [2022-04-25 12:06:15 main:574] : INFO : Epoch 1915 | loss: 0.0312148 | val_loss: 0.0312165 | Time: 10789.5 ms [2022-04-25 12:06:27 main:574] : INFO : Epoch 1916 | loss: 0.0312146 | val_loss: 0.031216 | Time: 11818.5 ms [2022-04-25 12:06:38 main:574] : INFO : Epoch 1917 | loss: 0.0312135 | val_loss: 0.0312156 | Time: 10890 ms [2022-04-25 12:06:49 main:574] : INFO : Epoch 1918 | loss: 0.0312133 | val_loss: 0.0312151 | Time: 11048.3 ms [2022-04-25 12:06:58 main:574] : INFO : Epoch 1919 | loss: 0.0312129 | val_loss: 0.0312155 | Time: 9400.56 ms [2022-04-25 12:07:09 main:574] : INFO : Epoch 1920 | loss: 0.0312128 | val_loss: 0.031215 | Time: 10104.7 ms [2022-04-25 12:07:18 main:574] : INFO : Epoch 1921 | loss: 0.0312129 | val_loss: 0.0312161 | Time: 9893.36 ms [2022-04-25 12:07:29 main:574] : INFO : Epoch 1922 | loss: 0.031213 | val_loss: 0.0312128 | Time: 10465.9 ms [2022-04-25 12:07:38 main:574] : INFO : Epoch 1923 | loss: 0.0312117 | val_loss: 0.031214 | Time: 9368.31 ms [2022-04-25 12:07:49 main:574] : INFO : Epoch 1924 | loss: 0.0312132 | val_loss: 0.0312209 | Time: 11054.9 ms [2022-04-25 12:08:01 main:574] : INFO : Epoch 1925 | loss: 0.0312135 | val_loss: 0.0312191 | Time: 11372.8 ms [2022-04-25 12:08:11 main:574] : INFO : Epoch 1926 | loss: 0.031213 | val_loss: 0.0312153 | Time: 10589.7 ms [2022-04-25 12:08:22 main:574] : INFO : Epoch 1927 | loss: 0.031213 | val_loss: 0.0312152 | Time: 10141.7 ms [2022-04-25 12:08:33 main:574] : INFO : Epoch 1928 | loss: 0.0312133 | val_loss: 0.0312225 | Time: 10906.7 ms [2022-04-25 12:08:44 main:574] : INFO : Epoch 1929 | loss: 0.0312234 | val_loss: 0.0312292 | Time: 11108.4 ms [2022-04-25 12:08:53 main:574] : INFO : Epoch 1930 | loss: 0.0312337 | val_loss: 0.0312338 | Time: 9775.54 ms [2022-04-25 12:09:03 main:574] : INFO : Epoch 1931 | loss: 0.0312303 | val_loss: 0.0312285 | Time: 9098.38 ms [2022-04-25 12:09:12 main:574] : INFO : Epoch 1932 | loss: 0.0312263 | val_loss: 0.0312274 | Time: 9540.68 ms [2022-04-25 12:09:23 main:574] : INFO : Epoch 1933 | loss: 0.0312262 | val_loss: 0.0312362 | Time: 10307.8 ms [2022-04-25 12:09:32 main:574] : INFO : Epoch 1934 | loss: 0.0312269 | val_loss: 0.0312272 | Time: 9661.86 ms [2022-04-25 12:09:41 main:574] : INFO : Epoch 1935 | loss: 0.0312223 | val_loss: 0.031225 | Time: 8742.8 ms [2022-04-25 12:09:51 main:574] : INFO : Epoch 1936 | loss: 0.0312216 | val_loss: 0.0312276 | Time: 10490.6 ms [2022-04-25 12:10:01 main:574] : INFO : Epoch 1937 | loss: 0.0312226 | val_loss: 0.0312248 | Time: 9447.77 ms [2022-04-25 12:10:09 main:574] : INFO : Epoch 1938 | loss: 0.0312229 | val_loss: 0.0312236 | Time: 8257.94 ms [2022-04-25 12:10:19 main:574] : INFO : Epoch 1939 | loss: 0.0312211 | val_loss: 0.0312227 | Time: 9348.58 ms [2022-04-25 12:10:29 main:574] : INFO : Epoch 1940 | loss: 0.0312209 | val_loss: 0.0312263 | Time: 10473.1 ms [2022-04-25 12:10:38 main:574] : INFO : Epoch 1941 | loss: 0.0312235 | val_loss: 0.0312257 | Time: 8748.46 ms [2022-04-25 12:10:46 main:574] : INFO : Epoch 1942 | loss: 0.0312231 | val_loss: 0.0312261 | Time: 8412.19 ms [2022-04-25 12:10:55 main:574] : INFO : Epoch 1943 | loss: 0.0312212 | val_loss: 0.0312281 | Time: 8188.03 ms [2022-04-25 12:11:04 main:574] : INFO : Epoch 1944 | loss: 0.0312236 | val_loss: 0.0312232 | Time: 8969.2 ms [2022-04-25 12:11:13 main:574] : INFO : Epoch 1945 | loss: 0.0312216 | val_loss: 0.0312238 | Time: 9376.97 ms [2022-04-25 12:11:22 main:574] : INFO : Epoch 1946 | loss: 0.0312208 | val_loss: 0.0312263 | Time: 9161.52 ms [2022-04-25 12:11:31 main:574] : INFO : Epoch 1947 | loss: 0.0312204 | val_loss: 0.0312253 | Time: 9188.51 ms [2022-04-25 12:11:40 main:574] : INFO : Epoch 1948 | loss: 0.0312194 | val_loss: 0.0312214 | Time: 8788.36 ms [2022-04-25 12:11:49 main:574] : INFO : Epoch 1949 | loss: 0.0312174 | val_loss: 0.0312211 | Time: 8372.05 ms [2022-04-25 12:11:58 main:574] : INFO : Epoch 1950 | loss: 0.0312167 | val_loss: 0.0312218 | Time: 9785.22 ms [2022-04-25 12:12:08 main:574] : INFO : Epoch 1951 | loss: 0.0312174 | val_loss: 0.031224 | Time: 9510.73 ms [2022-04-25 12:12:18 main:574] : INFO : Epoch 1952 | loss: 0.0312197 | val_loss: 0.0312275 | Time: 9595.21 ms [2022-04-25 12:12:27 main:574] : INFO : Epoch 1953 | loss: 0.0312182 | val_loss: 0.0312209 | Time: 9815 ms [2022-04-25 12:12:37 main:574] : INFO : Epoch 1954 | loss: 0.0312164 | val_loss: 0.0312195 | Time: 9833.25 ms [2022-04-25 12:12:47 main:574] : INFO : Epoch 1955 | loss: 0.0312154 | val_loss: 0.0312189 | Time: 9239.59 ms [2022-04-25 12:12:55 main:574] : INFO : Epoch 1956 | loss: 0.0312166 | val_loss: 0.0312239 | Time: 8589.95 ms [2022-04-25 12:13:04 main:574] : INFO : Epoch 1957 | loss: 0.031217 | val_loss: 0.0312197 | Time: 8963.55 ms [2022-04-25 12:13:13 main:574] : INFO : Epoch 1958 | loss: 0.0312149 | val_loss: 0.0312203 | Time: 8801.19 ms [2022-04-25 12:13:21 main:574] : INFO : Epoch 1959 | loss: 0.0312142 | val_loss: 0.0312178 | Time: 8371.75 ms [2022-04-25 12:13:30 main:574] : INFO : Epoch 1960 | loss: 0.0312163 | val_loss: 0.0312255 | Time: 8695.38 ms [2022-04-25 12:13:39 main:574] : INFO : Epoch 1961 | loss: 0.0312176 | val_loss: 0.0312177 | Time: 9075.97 ms [2022-04-25 12:13:50 main:574] : INFO : Epoch 1962 | loss: 0.0312151 | val_loss: 0.0312171 | Time: 10475.8 ms [2022-04-25 12:13:59 main:574] : INFO : Epoch 1963 | loss: 0.0312132 | val_loss: 0.0312185 | Time: 9654.18 ms [2022-04-25 12:14:11 main:574] : INFO : Epoch 1964 | loss: 0.0312127 | val_loss: 0.0312174 | Time: 11295.1 ms [2022-04-25 12:14:20 main:574] : INFO : Epoch 1965 | loss: 0.0312145 | val_loss: 0.0312189 | Time: 9129.91 ms [2022-04-25 12:14:30 main:574] : INFO : Epoch 1966 | loss: 0.0312129 | val_loss: 0.0312168 | Time: 10412.7 ms [2022-04-25 12:14:41 main:574] : INFO : Epoch 1967 | loss: 0.0312166 | val_loss: 0.0312233 | Time: 10520.8 ms [2022-04-25 12:14:51 main:574] : INFO : Epoch 1968 | loss: 0.0312183 | val_loss: 0.0312189 | Time: 10150.7 ms [2022-04-25 12:15:01 main:574] : INFO : Epoch 1969 | loss: 0.0312157 | val_loss: 0.0312178 | Time: 9612.27 ms [2022-04-25 12:15:11 main:574] : INFO : Epoch 1970 | loss: 0.0312137 | val_loss: 0.03122 | Time: 10690.2 ms [2022-04-25 12:15:21 main:574] : INFO : Epoch 1971 | loss: 0.0312141 | val_loss: 0.0312166 | Time: 9881.88 ms [2022-04-25 12:15:32 main:574] : INFO : Epoch 1972 | loss: 0.0312137 | val_loss: 0.0312173 | Time: 10955.7 ms [2022-04-25 12:15:42 main:574] : INFO : Epoch 1973 | loss: 0.0312142 | val_loss: 0.0312176 | Time: 9686.9 ms [2022-04-25 12:15:52 main:574] : INFO : Epoch 1974 | loss: 0.0312127 | val_loss: 0.0312222 | Time: 9857.91 ms [2022-04-25 12:16:01 main:574] : INFO : Epoch 1975 | loss: 0.0312159 | val_loss: 0.0312199 | Time: 8863.3 ms [2022-04-25 12:16:10 main:574] : INFO : Epoch 1976 | loss: 0.0312149 | val_loss: 0.0312182 | Time: 9612.68 ms [2022-04-25 12:16:20 main:574] : INFO : Epoch 1977 | loss: 0.0312152 | val_loss: 0.0312199 | Time: 9315.99 ms [2022-04-25 12:16:29 main:574] : INFO : Epoch 1978 | loss: 0.0312134 | val_loss: 0.0312167 | Time: 9335.58 ms [2022-04-25 12:16:38 main:574] : INFO : Epoch 1979 | loss: 0.0312124 | val_loss: 0.0312173 | Time: 9312.43 ms [2022-04-25 12:16:47 main:574] : INFO : Epoch 1980 | loss: 0.0312163 | val_loss: 0.0312237 | Time: 8929.37 ms [2022-04-25 12:16:57 main:574] : INFO : Epoch 1981 | loss: 0.0312215 | val_loss: 0.0312325 | Time: 9391.01 ms [2022-04-25 12:17:06 main:574] : INFO : Epoch 1982 | loss: 0.0312312 | val_loss: 0.0312309 | Time: 9700.96 ms [2022-04-25 12:17:16 main:574] : INFO : Epoch 1983 | loss: 0.0312297 | val_loss: 0.0312286 | Time: 9830.31 ms [2022-04-25 12:17:26 main:574] : INFO : Epoch 1984 | loss: 0.0312287 | val_loss: 0.0312374 | Time: 9478.57 ms [2022-04-25 12:17:36 main:574] : INFO : Epoch 1985 | loss: 0.0312377 | val_loss: 0.0312384 | Time: 9836.66 ms [2022-04-25 12:17:45 main:574] : INFO : Epoch 1986 | loss: 0.0312356 | val_loss: 0.0312339 | Time: 9398.03 ms [2022-04-25 12:17:54 main:574] : INFO : Epoch 1987 | loss: 0.0312324 | val_loss: 0.0312283 | Time: 9376.21 ms [2022-04-25 12:18:05 main:574] : INFO : Epoch 1988 | loss: 0.0312274 | val_loss: 0.0312273 | Time: 10227.6 ms [2022-04-25 12:18:15 main:574] : INFO : Epoch 1989 | loss: 0.0312275 | val_loss: 0.0312292 | Time: 10299.1 ms [2022-04-25 12:18:24 main:574] : INFO : Epoch 1990 | loss: 0.0312322 | val_loss: 0.0312342 | Time: 9004.71 ms [2022-04-25 12:18:33 main:574] : INFO : Epoch 1991 | loss: 0.0312306 | val_loss: 0.0312295 | Time: 9491.88 ms [2022-04-25 12:18:44 main:574] : INFO : Epoch 1992 | loss: 0.0312321 | val_loss: 0.0312286 | Time: 10151 ms [2022-04-25 12:18:53 main:574] : INFO : Epoch 1993 | loss: 0.0312303 | val_loss: 0.0312268 | Time: 9656.88 ms [2022-04-25 12:19:03 main:574] : INFO : Epoch 1994 | loss: 0.0312288 | val_loss: 0.0312259 | Time: 9416.35 ms [2022-04-25 12:19:12 main:574] : INFO : Epoch 1995 | loss: 0.0312266 | val_loss: 0.0312265 | Time: 9558.85 ms [2022-04-25 12:19:23 main:574] : INFO : Epoch 1996 | loss: 0.0312251 | val_loss: 0.0312239 | Time: 10343.1 ms [2022-04-25 12:19:33 main:574] : INFO : Epoch 1997 | loss: 0.031227 | val_loss: 0.0312246 | Time: 10479.5 ms [2022-04-25 12:19:43 main:574] : INFO : Epoch 1998 | loss: 0.0312244 | val_loss: 0.0312233 | Time: 10156.1 ms [2022-04-25 12:19:55 main:574] : INFO : Epoch 1999 | loss: 0.0312241 | val_loss: 0.0312229 | Time: 11419.9 ms [2022-04-25 12:20:07 main:574] : INFO : Epoch 2000 | loss: 0.0312218 | val_loss: 0.0312237 | Time: 12466.3 ms [2022-04-25 12:20:18 main:574] : INFO : Epoch 2001 | loss: 0.0312235 | val_loss: 0.0312257 | Time: 10563 ms [2022-04-25 12:20:29 main:574] : INFO : Epoch 2002 | loss: 0.0312238 | val_loss: 0.0312208 | Time: 10911.7 ms [2022-04-25 12:20:40 main:574] : INFO : Epoch 2003 | loss: 0.031223 | val_loss: 0.0312265 | Time: 11237.8 ms [2022-04-25 12:20:51 main:574] : INFO : Epoch 2004 | loss: 0.031223 | val_loss: 0.0312206 | Time: 11206 ms [2022-04-25 12:21:01 main:574] : INFO : Epoch 2005 | loss: 0.0312235 | val_loss: 0.0312201 | Time: 9493.74 ms [2022-04-25 12:21:11 main:574] : INFO : Epoch 2006 | loss: 0.0312199 | val_loss: 0.0312202 | Time: 10154.1 ms [2022-04-25 12:21:20 main:574] : INFO : Epoch 2007 | loss: 0.0312198 | val_loss: 0.0312212 | Time: 9202.77 ms [2022-04-25 12:21:31 main:574] : INFO : Epoch 2008 | loss: 0.0312198 | val_loss: 0.0312193 | Time: 10520.5 ms [2022-04-25 12:21:40 main:574] : INFO : Epoch 2009 | loss: 0.0312199 | val_loss: 0.031225 | Time: 9772.96 ms [2022-04-25 12:21:51 main:574] : INFO : Epoch 2010 | loss: 0.0312212 | val_loss: 0.0312214 | Time: 10079.7 ms [2022-04-25 12:22:00 main:574] : INFO : Epoch 2011 | loss: 0.0312219 | val_loss: 0.0312251 | Time: 9120.11 ms [2022-04-25 12:22:09 main:574] : INFO : Epoch 2012 | loss: 0.0312213 | val_loss: 0.0312199 | Time: 9238.25 ms [2022-04-25 12:22:18 main:574] : INFO : Epoch 2013 | loss: 0.0312193 | val_loss: 0.0312268 | Time: 8971.8 ms [2022-04-25 12:22:27 main:574] : INFO : Epoch 2014 | loss: 0.03122 | val_loss: 0.0312204 | Time: 9121.93 ms [2022-04-25 12:22:37 main:574] : INFO : Epoch 2015 | loss: 0.0312183 | val_loss: 0.0312192 | Time: 9768.61 ms [2022-04-25 12:22:46 main:574] : INFO : Epoch 2016 | loss: 0.0312177 | val_loss: 0.0312189 | Time: 9232.89 ms [2022-04-25 12:22:55 main:574] : INFO : Epoch 2017 | loss: 0.0312186 | val_loss: 0.0312222 | Time: 8711 ms [2022-04-25 12:23:04 main:574] : INFO : Epoch 2018 | loss: 0.0312209 | val_loss: 0.0312192 | Time: 9423.54 ms [2022-04-25 12:23:14 main:574] : INFO : Epoch 2019 | loss: 0.03122 | val_loss: 0.0312236 | Time: 9608.69 ms [2022-04-25 12:23:24 main:574] : INFO : Epoch 2020 | loss: 0.0312178 | val_loss: 0.0312184 | Time: 10058.6 ms [2022-04-25 12:23:34 main:574] : INFO : Epoch 2021 | loss: 0.0312178 | val_loss: 0.0312226 | Time: 9824.34 ms [2022-04-25 12:23:42 main:574] : INFO : Epoch 2022 | loss: 0.0312196 | val_loss: 0.0312209 | Time: 8399.43 ms [2022-04-25 12:23:51 main:574] : INFO : Epoch 2023 | loss: 0.0312183 | val_loss: 0.0312226 | Time: 8239.22 ms [2022-04-25 12:23:59 main:574] : INFO : Epoch 2024 | loss: 0.0312189 | val_loss: 0.0312202 | Time: 8174.78 ms [2022-04-25 12:24:08 main:574] : INFO : Epoch 2025 | loss: 0.0312185 | val_loss: 0.0312179 | Time: 9212.3 ms [2022-04-25 12:24:17 main:574] : INFO : Epoch 2026 | loss: 0.0312162 | val_loss: 0.0312177 | Time: 9035.74 ms [2022-04-25 12:24:26 main:574] : INFO : Epoch 2027 | loss: 0.0312163 | val_loss: 0.0312243 | Time: 9022.4 ms [2022-04-25 12:24:35 main:574] : INFO : Epoch 2028 | loss: 0.031221 | val_loss: 0.0312225 | Time: 8218.55 ms [2022-04-25 12:24:43 main:574] : INFO : Epoch 2029 | loss: 0.0312183 | val_loss: 0.0312177 | Time: 8554.04 ms [2022-04-25 12:24:53 main:574] : INFO : Epoch 2030 | loss: 0.0312159 | val_loss: 0.0312187 | Time: 10031 ms [2022-04-25 12:25:03 main:574] : INFO : Epoch 2031 | loss: 0.0312167 | val_loss: 0.0312198 | Time: 10087 ms [2022-04-25 12:25:12 main:574] : INFO : Epoch 2032 | loss: 0.0312148 | val_loss: 0.0312172 | Time: 8431.07 ms [2022-04-25 12:25:20 main:574] : INFO : Epoch 2033 | loss: 0.0312154 | val_loss: 0.0312188 | Time: 8382.46 ms [2022-04-25 12:25:28 main:574] : INFO : Epoch 2034 | loss: 0.031218 | val_loss: 0.0312209 | Time: 8174.01 ms [2022-04-25 12:25:37 main:574] : INFO : Epoch 2035 | loss: 0.0312189 | val_loss: 0.0312184 | Time: 8347.31 ms [2022-04-25 12:25:45 main:574] : INFO : Epoch 2036 | loss: 0.0312172 | val_loss: 0.0312183 | Time: 8707.7 ms [2022-04-25 12:25:54 main:574] : INFO : Epoch 2037 | loss: 0.0312177 | val_loss: 0.0312178 | Time: 8486.01 ms [2022-04-25 12:26:02 main:574] : INFO : Epoch 2038 | loss: 0.0312176 | val_loss: 0.0312174 | Time: 8214.3 ms [2022-04-25 12:26:12 main:574] : INFO : Epoch 2039 | loss: 0.0312157 | val_loss: 0.0312189 | Time: 9510.27 ms [2022-04-25 12:26:24 main:574] : INFO : Epoch 2040 | loss: 0.0312193 | val_loss: 0.0312179 | Time: 12212.8 ms [2022-04-25 12:26:32 main:574] : INFO : Epoch 2041 | loss: 0.0312207 | val_loss: 0.0312258 | Time: 8480.79 ms [2022-04-25 12:26:40 main:574] : INFO : Epoch 2042 | loss: 0.0312206 | val_loss: 0.0312214 | Time: 7946.76 ms [2022-04-25 12:26:49 main:574] : INFO : Epoch 2043 | loss: 0.0312163 | val_loss: 0.0312185 | Time: 8474.9 ms [2022-04-25 12:26:57 main:574] : INFO : Epoch 2044 | loss: 0.0312158 | val_loss: 0.0312176 | Time: 8232.91 ms [2022-04-25 12:27:06 main:574] : INFO : Epoch 2045 | loss: 0.0312186 | val_loss: 0.0312198 | Time: 8762.9 ms [2022-04-25 12:27:15 main:574] : INFO : Epoch 2046 | loss: 0.0312152 | val_loss: 0.031224 | Time: 8562.1 ms [2022-04-25 12:27:22 main:574] : INFO : Epoch 2047 | loss: 0.0312164 | val_loss: 0.0312179 | Time: 7657.79 ms [2022-04-25 12:27:30 main:574] : INFO : Epoch 2048 | loss: 0.0312159 | val_loss: 0.0312207 | Time: 8150.84 ms [2022-04-25 12:27:31 main:597] : INFO : Saving trained model to model-final.pt, val_loss 0.0312207 [2022-04-25 12:27:31 main:603] : INFO : Saving end state to config to file [2022-04-25 12:27:31 main:608] : INFO : Success, exiting.. 12:27:31 (9624): 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)