Task 10032197
| Name | ParityModified-1639965299-30446-0_0 |
| Workunit | 7410799 |
| Created | 20 Dec 2021, 1:55:00 UTC |
| Sent | 5 Jan 2022, 22:22:03 UTC |
| Report deadline | 13 Jan 2022, 22:22:03 UTC |
| Received | 6 Jan 2022, 9:07:49 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 16731 |
| Run time | 1 hours 13 min 15 sec |
| CPU time | 1 hours 11 min 33 sec |
| Validate state | Valid |
| Credit | 4,160.00 |
| Device peak FLOPS | 6,452.20 GFLOPS |
| Application version | Machine Learning Dataset Generator (GPU) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 2.10 GB |
| Peak swap size | 4.35 GB |
| Peak disk usage | 1.54 GB |
Stderr output
<core_client_version>7.16.20</core_client_version> <![CDATA[ <stderr_txt> e: 2052.4 ms [2022-01-05 16:44:32 main:574] : INFO : Epoch 1638 | loss: 0.0310271 | val_loss: 0.0312839 | Time: 2060.57 ms [2022-01-05 16:44:34 main:574] : INFO : Epoch 1639 | loss: 0.0310238 | val_loss: 0.0313252 | Time: 2043.84 ms [2022-01-05 16:44:36 main:574] : INFO : Epoch 1640 | loss: 0.0310247 | val_loss: 0.0313033 | Time: 2055.28 ms [2022-01-05 16:44:38 main:574] : INFO : Epoch 1641 | loss: 0.0310157 | val_loss: 0.0313016 | Time: 2074.03 ms [2022-01-05 16:44:40 main:574] : INFO : Epoch 1642 | loss: 0.0310149 | val_loss: 0.0313024 | Time: 2052.73 ms [2022-01-05 16:44:43 main:574] : INFO : Epoch 1643 | loss: 0.0310174 | val_loss: 0.0313012 | Time: 2088.61 ms [2022-01-05 16:44:45 main:574] : INFO : Epoch 1644 | loss: 0.0310186 | val_loss: 0.0312945 | Time: 2059.87 ms [2022-01-05 16:44:47 main:574] : INFO : Epoch 1645 | loss: 0.0310162 | val_loss: 0.0312795 | Time: 2060.09 ms [2022-01-05 16:44:49 main:574] : INFO : Epoch 1646 | loss: 0.0310217 | val_loss: 0.0312973 | Time: 2065.03 ms [2022-01-05 16:44:51 main:574] : INFO : Epoch 1647 | loss: 0.0310159 | val_loss: 0.0313329 | Time: 2053.55 ms [2022-01-05 16:44:53 main:574] : INFO : Epoch 1648 | loss: 0.0310145 | val_loss: 0.031298 | Time: 2049.24 ms [2022-01-05 16:44:55 main:574] : INFO : Epoch 1649 | loss: 0.0310156 | val_loss: 0.0313357 | Time: 2059.9 ms [2022-01-05 16:44:57 main:574] : INFO : Epoch 1650 | loss: 0.0310188 | val_loss: 0.0313029 | Time: 2096.85 ms [2022-01-05 16:44:59 main:574] : INFO : Epoch 1651 | loss: 0.0310105 | val_loss: 0.0313175 | Time: 2082.8 ms [2022-01-05 16:45:01 main:574] : INFO : Epoch 1652 | loss: 0.0310259 | val_loss: 0.0313029 | Time: 2060.27 ms [2022-01-05 16:45:03 main:574] : INFO : Epoch 1653 | loss: 0.0310229 | val_loss: 0.0312965 | Time: 2073.13 ms [2022-01-05 16:45:05 main:574] : INFO : Epoch 1654 | loss: 0.0310143 | val_loss: 0.0312935 | Time: 2060.84 ms [2022-01-05 16:45:08 main:574] : INFO : Epoch 1655 | loss: 0.0310122 | val_loss: 0.0313228 | Time: 2090.94 ms [2022-01-05 16:45:10 main:574] : INFO : Epoch 1656 | loss: 0.031025 | val_loss: 0.0313175 | Time: 2101.85 ms [2022-01-05 16:45:12 main:574] : INFO : Epoch 1657 | loss: 0.0310186 | val_loss: 0.0313059 | Time: 2093.19 ms [2022-01-05 16:45:14 main:574] : INFO : Epoch 1658 | loss: 0.0310129 | val_loss: 0.0313045 | Time: 2088.17 ms [2022-01-05 16:45:16 main:574] : INFO : Epoch 1659 | loss: 0.0310224 | val_loss: 0.0312881 | Time: 2062.16 ms [2022-01-05 16:45:18 main:574] : INFO : Epoch 1660 | loss: 0.0310194 | val_loss: 0.0313287 | Time: 2055.78 ms [2022-01-05 16:45:20 main:574] : INFO : Epoch 1661 | loss: 0.031021 | val_loss: 0.0313075 | Time: 2086.92 ms [2022-01-05 16:45:22 main:574] : INFO : Epoch 1662 | loss: 0.0310142 | val_loss: 0.0313016 | Time: 2048.22 ms [2022-01-05 16:45:24 main:574] : INFO : Epoch 1663 | loss: 0.0310202 | val_loss: 0.0312926 | Time: 2093.3 ms [2022-01-05 16:45:26 main:574] : INFO : Epoch 1664 | loss: 0.0310149 | val_loss: 0.031314 | Time: 2054.98 ms [2022-01-05 16:45:28 main:574] : INFO : Epoch 1665 | loss: 0.0310107 | val_loss: 0.0313139 | Time: 2071.59 ms [2022-01-05 16:45:31 main:574] : INFO : Epoch 1666 | loss: 0.0310131 | val_loss: 0.0312831 | Time: 2070.19 ms [2022-01-05 16:45:33 main:574] : INFO : Epoch 1667 | loss: 0.0310136 | val_loss: 0.0312951 | Time: 2063.7 ms [2022-01-05 16:45:35 main:574] : INFO : Epoch 1668 | loss: 0.0310257 | val_loss: 0.0312811 | Time: 2093.44 ms [2022-01-05 16:45:37 main:574] : INFO : Epoch 1669 | loss: 0.031038 | val_loss: 0.0313071 | Time: 2080.67 ms [2022-01-05 16:45:39 main:574] : INFO : Epoch 1670 | loss: 0.031019 | val_loss: 0.0312975 | Time: 2084 ms [2022-01-05 16:45:41 main:574] : INFO : Epoch 1671 | loss: 0.0310153 | val_loss: 0.0313199 | Time: 2097.92 ms [2022-01-05 16:45:43 main:574] : INFO : Epoch 1672 | loss: 0.0310167 | val_loss: 0.031301 | Time: 2064.5 ms [2022-01-05 16:45:45 main:574] : INFO : Epoch 1673 | loss: 0.0310146 | val_loss: 0.0313393 | Time: 2078.56 ms [2022-01-05 16:45:47 main:574] : INFO : Epoch 1674 | loss: 0.0310126 | val_loss: 0.0313173 | Time: 2053.88 ms [2022-01-05 16:45:49 main:574] : INFO : Epoch 1675 | loss: 0.0310137 | val_loss: 0.0312999 | Time: 2073.36 ms [2022-01-05 16:45:51 main:574] : INFO : Epoch 1676 | loss: 0.0310138 | val_loss: 0.0312931 | Time: 2036.67 ms [2022-01-05 16:45:53 main:574] : INFO : Epoch 1677 | loss: 0.0310201 | val_loss: 0.0312816 | Time: 2064.49 ms [2022-01-05 16:45:56 main:574] : INFO : Epoch 1678 | loss: 0.0310247 | val_loss: 0.0312957 | Time: 2061.77 ms [2022-01-05 16:45:58 main:574] : INFO : Epoch 1679 | loss: 0.0310223 | val_loss: 0.0313476 | Time: 2061.62 ms [2022-01-05 16:46:00 main:574] : INFO : Epoch 1680 | loss: 0.0310191 | val_loss: 0.0313054 | Time: 2073.9 ms [2022-01-05 16:46:02 main:574] : INFO : Epoch 1681 | loss: 0.0310128 | val_loss: 0.0313092 | Time: 2052.1 ms [2022-01-05 16:46:04 main:574] : INFO : Epoch 1682 | loss: 0.0310146 | val_loss: 0.0313151 | Time: 2055.95 ms [2022-01-05 16:46:06 main:574] : INFO : Epoch 1683 | loss: 0.0310363 | val_loss: 0.0312928 | Time: 2038.12 ms [2022-01-05 16:46:08 main:574] : INFO : Epoch 1684 | loss: 0.0310269 | val_loss: 0.0313114 | Time: 2062.44 ms [2022-01-05 16:46:10 main:574] : INFO : Epoch 1685 | loss: 0.0310173 | val_loss: 0.0312834 | Time: 2045.25 ms [2022-01-05 16:46:12 main:574] : INFO : Epoch 1686 | loss: 0.0310203 | val_loss: 0.0312966 | Time: 2041.26 ms [2022-01-05 16:46:14 main:574] : INFO : Epoch 1687 | loss: 0.0310191 | val_loss: 0.0312998 | Time: 2055.87 ms [2022-01-05 16:46:16 main:574] : INFO : Epoch 1688 | loss: 0.031013 | val_loss: 0.0313073 | Time: 2050.32 ms [2022-01-05 16:46:18 main:574] : INFO : Epoch 1689 | loss: 0.0310128 | val_loss: 0.0313329 | Time: 2045.98 ms [2022-01-05 16:46:20 main:574] : INFO : Epoch 1690 | loss: 0.0310148 | val_loss: 0.031314 | Time: 2051.85 ms [2022-01-05 16:46:22 main:574] : INFO : Epoch 1691 | loss: 0.0310161 | val_loss: 0.031303 | Time: 2048.11 ms [2022-01-05 16:46:25 main:574] : INFO : Epoch 1692 | loss: 0.0310161 | val_loss: 0.031332 | Time: 2071.78 ms [2022-01-05 16:46:27 main:574] : INFO : Epoch 1693 | loss: 0.0310138 | val_loss: 0.0313278 | Time: 2046.98 ms [2022-01-05 16:46:29 main:574] : INFO : Epoch 1694 | loss: 0.0310142 | val_loss: 0.0313064 | Time: 2049.13 ms [2022-01-05 16:46:31 main:574] : INFO : Epoch 1695 | loss: 0.0310118 | val_loss: 0.0313283 | Time: 2068.08 ms [2022-01-05 16:46:33 main:574] : INFO : Epoch 1696 | loss: 0.031019 | val_loss: 0.0313266 | Time: 2088.7 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: GeForce RTX 2060) [2022-01-05 16:49:34 main:435] : INFO : Set logging level to 1 [2022-01-05 16:49:34 main:441] : INFO : Running in BOINC Client mode [2022-01-05 16:49:34 main:444] : INFO : Resolving all filenames [2022-01-05 16:49:34 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-01-05 16:49:34 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-01-05 16:49:34 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-01-05 16:49:34 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2022-01-05 16:49:34 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-01-05 16:49:34 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-01-05 16:49:34 main:474] : INFO : Configuration: [2022-01-05 16:49:34 main:475] : INFO : Model type: GRU [2022-01-05 16:49:34 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-01-05 16:49:34 main:477] : INFO : Max Epochs: 2048 [2022-01-05 16:49:34 main:478] : INFO : Batch Size: 128 [2022-01-05 16:49:34 main:479] : INFO : Learning Rate: 0.01 [2022-01-05 16:49:34 main:480] : INFO : Patience: 10 [2022-01-05 16:49:34 main:481] : INFO : Hidden Width: 12 [2022-01-05 16:49:34 main:482] : INFO : # Recurrent Layers: 4 [2022-01-05 16:49:34 main:483] : INFO : # Backend Layers: 4 [2022-01-05 16:49:34 main:484] : INFO : # Threads: 1 [2022-01-05 16:49:34 main:486] : INFO : Preparing Dataset [2022-01-05 16:49:34 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-01-05 16:49:34 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory [2022-01-05 16:49:37 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2022-01-05 16:49:37 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory [2022-01-05 16:49:37 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory [2022-01-05 16:49:37 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2022-01-05 16:49:37 main:494] : INFO : Creating Model [2022-01-05 16:49:37 main:507] : INFO : Preparing config file [2022-01-05 16:49:37 main:511] : INFO : Found checkpoint, attempting to load... [2022-01-05 16:49:37 main:512] : INFO : Loading config [2022-01-05 16:49:37 main:514] : INFO : Loading state [2022-01-05 16:49:39 main:559] : INFO : Loading DataLoader into Memory [2022-01-05 16:49:39 main:562] : INFO : Starting Training [2022-01-05 16:49:42 main:574] : INFO : Epoch 1687 | loss: 0.0311232 | val_loss: 0.0312685 | Time: 2827.1 ms [2022-01-05 16:49:44 main:574] : INFO : Epoch 1688 | loss: 0.0310542 | val_loss: 0.0312846 | Time: 2329.52 ms [2022-01-05 16:49:46 main:574] : INFO : Epoch 1689 | loss: 0.0310311 | val_loss: 0.0313039 | Time: 2309.85 ms [2022-01-05 16:49:49 main:574] : INFO : Epoch 1690 | loss: 0.0310292 | val_loss: 0.0312884 | Time: 2306.07 ms [2022-01-05 16:49:51 main:574] : INFO : Epoch 1691 | loss: 0.0310245 | val_loss: 0.0313224 | Time: 2286.89 ms [2022-01-05 16:49:53 main:574] : INFO : Epoch 1692 | loss: 0.0310224 | val_loss: 0.0313202 | Time: 2303.59 ms [2022-01-05 16:49:56 main:574] : INFO : Epoch 1693 | loss: 0.0310208 | val_loss: 0.0312807 | Time: 2286.17 ms [2022-01-05 16:49:58 main:574] : INFO : Epoch 1694 | loss: 0.0310241 | val_loss: 0.0313053 | Time: 2302.4 ms [2022-01-05 16:50:00 main:574] : INFO : Epoch 1695 | loss: 0.0310293 | val_loss: 0.0312948 | Time: 2304.32 ms [2022-01-05 16:50:03 main:574] : INFO : Epoch 1696 | loss: 0.0310215 | val_loss: 0.0312944 | Time: 2288.83 ms [2022-01-05 16:50:05 main:574] : INFO : Epoch 1697 | loss: 0.0310242 | val_loss: 0.0313078 | Time: 2306.53 ms [2022-01-05 16:50:08 main:574] : INFO : Epoch 1698 | loss: 0.0310203 | val_loss: 0.0312999 | Time: 2300.49 ms [2022-01-05 16:50:11 main:574] : INFO : Epoch 1699 | loss: 0.0310233 | val_loss: 0.0312917 | Time: 2304.41 ms [2022-01-05 16:50:14 main:574] : INFO : Epoch 1700 | loss: 0.0310165 | val_loss: 0.0313018 | Time: 2278.89 ms [2022-01-05 16:50:17 main:574] : INFO : Epoch 1701 | loss: 0.031017 | val_loss: 0.031323 | Time: 2280.25 ms [2022-01-05 16:50:20 main:574] : INFO : Epoch 1702 | loss: 0.0310223 | val_loss: 0.0313196 | Time: 2279.26 ms [2022-01-05 16:50:23 main:574] : INFO : Epoch 1703 | loss: 0.0310224 | val_loss: 0.0313045 | Time: 2296.2 ms [2022-01-05 16:50:25 main:574] : INFO : Epoch 1704 | loss: 0.0310213 | val_loss: 0.0312793 | Time: 2308.72 ms [2022-01-05 16:50:27 main:574] : INFO : Epoch 1705 | loss: 0.0310229 | val_loss: 0.0312948 | Time: 2307.16 ms [2022-01-05 16:50:30 main:574] : INFO : Epoch 1706 | loss: 0.0310285 | val_loss: 0.0312926 | Time: 2317.33 ms [2022-01-05 16:50:32 main:574] : INFO : Epoch 1707 | loss: 0.0310161 | val_loss: 0.0313414 | Time: 2156.91 ms [2022-01-05 16:50:34 main:574] : INFO : Epoch 1708 | loss: 0.0310159 | val_loss: 0.0313026 | Time: 2069.29 ms [2022-01-05 16:50:36 main:574] : INFO : Epoch 1709 | loss: 0.0310245 | val_loss: 0.0313075 | Time: 2090.4 ms [2022-01-05 16:50:39 main:574] : INFO : Epoch 1710 | loss: 0.0310203 | val_loss: 0.0313155 | Time: 2063.86 ms [2022-01-05 16:50:41 main:574] : INFO : Epoch 1711 | loss: 0.0310087 | val_loss: 0.0313166 | Time: 2065.06 ms [2022-01-05 16:50:43 main:574] : INFO : Epoch 1712 | loss: 0.0310293 | val_loss: 0.0312695 | Time: 2099.6 ms [2022-01-05 16:50:45 main:574] : INFO : Epoch 1713 | loss: 0.0310599 | val_loss: 0.0312821 | Time: 2087.54 ms [2022-01-05 16:50:47 main:574] : INFO : Epoch 1714 | loss: 0.0310269 | val_loss: 0.0313012 | Time: 2066.07 ms [2022-01-05 16:50:49 main:574] : INFO : Epoch 1715 | loss: 0.0310222 | val_loss: 0.0312985 | Time: 2084.89 ms [2022-01-05 16:50:51 main:574] : INFO : Epoch 1716 | loss: 0.0310211 | val_loss: 0.0313363 | Time: 2071.77 ms [2022-01-05 16:50:53 main:574] : INFO : Epoch 1717 | loss: 0.0310117 | val_loss: 0.0313088 | Time: 2065.08 ms [2022-01-05 16:50:55 main:574] : INFO : Epoch 1718 | loss: 0.0310165 | val_loss: 0.0313252 | Time: 2089.01 ms [2022-01-05 16:50:57 main:574] : INFO : Epoch 1719 | loss: 0.0310216 | val_loss: 0.0313086 | Time: 2070.25 ms [2022-01-05 16:50:59 main:574] : INFO : Epoch 1720 | loss: 0.031013 | val_loss: 0.0312904 | Time: 2082.38 ms [2022-01-05 16:51:02 main:574] : INFO : Epoch 1721 | loss: 0.0310071 | val_loss: 0.0313245 | Time: 2071.74 ms [2022-01-05 16:51:04 main:574] : INFO : Epoch 1722 | loss: 0.031018 | val_loss: 0.0312954 | Time: 2087.77 ms [2022-01-05 16:51:06 main:574] : INFO : Epoch 1723 | loss: 0.0310088 | val_loss: 0.0313172 | Time: 2077.92 ms [2022-01-05 16:51:08 main:574] : INFO : Epoch 1724 | loss: 0.0310133 | val_loss: 0.0313047 | Time: 2070.7 ms [2022-01-05 16:51:10 main:574] : INFO : Epoch 1725 | loss: 0.0310255 | val_loss: 0.0313031 | Time: 2081.86 ms [2022-01-05 16:51:12 main:574] : INFO : Epoch 1726 | loss: 0.0310153 | val_loss: 0.0313101 | Time: 2064.78 ms [2022-01-05 16:51:14 main:574] : INFO : Epoch 1727 | loss: 0.0310148 | val_loss: 0.0312805 | Time: 2081.62 ms [2022-01-05 16:51:16 main:574] : INFO : Epoch 1728 | loss: 0.0310224 | val_loss: 0.0313331 | Time: 2092.19 ms [2022-01-05 16:51:18 main:574] : INFO : Epoch 1729 | loss: 0.0310268 | val_loss: 0.0313058 | Time: 2096.14 ms [2022-01-05 16:51:20 main:574] : INFO : Epoch 1730 | loss: 0.0310162 | val_loss: 0.0313114 | Time: 2075.9 ms [2022-01-05 16:51:23 main:574] : INFO : Epoch 1731 | loss: 0.031017 | val_loss: 0.031301 | Time: 2079.27 ms [2022-01-05 16:51:25 main:574] : INFO : Epoch 1732 | loss: 0.0310182 | val_loss: 0.0312963 | Time: 2077.42 ms [2022-01-05 16:51:27 main:574] : INFO : Epoch 1733 | loss: 0.03103 | val_loss: 0.0313158 | Time: 2071.31 ms [2022-01-05 16:51:29 main:574] : INFO : Epoch 1734 | loss: 0.0310289 | val_loss: 0.0313415 | Time: 2083.75 ms [2022-01-05 16:51:31 main:574] : INFO : Epoch 1735 | loss: 0.0310189 | val_loss: 0.0313245 | Time: 2085.5 ms [2022-01-05 16:51:33 main:574] : INFO : Epoch 1736 | loss: 0.0310238 | val_loss: 0.0313282 | Time: 2088.95 ms [2022-01-05 16:51:35 main:574] : INFO : Epoch 1737 | loss: 0.0310384 | val_loss: 0.0313025 | Time: 2093.48 ms [2022-01-05 16:51:37 main:574] : INFO : Epoch 1738 | loss: 0.0310273 | val_loss: 0.0313089 | Time: 2077.04 ms [2022-01-05 16:51:39 main:574] : INFO : Epoch 1739 | loss: 0.0310307 | val_loss: 0.0312861 | Time: 2083.79 ms [2022-01-05 16:51:41 main:574] : INFO : Epoch 1740 | loss: 0.0310248 | val_loss: 0.0313222 | Time: 2071.57 ms [2022-01-05 16:51:43 main:574] : INFO : Epoch 1741 | loss: 0.0310162 | val_loss: 0.0312968 | Time: 2094.78 ms [2022-01-05 16:51:46 main:574] : INFO : Epoch 1742 | loss: 0.0310121 | val_loss: 0.0312936 | Time: 2084.14 ms [2022-01-05 16:51:48 main:574] : INFO : Epoch 1743 | loss: 0.0310227 | val_loss: 0.0313079 | Time: 2085.61 ms [2022-01-05 16:51:50 main:574] : INFO : Epoch 1744 | loss: 0.0310143 | val_loss: 0.0313008 | Time: 2072.13 ms [2022-01-05 16:51:52 main:574] : INFO : Epoch 1745 | loss: 0.0310083 | val_loss: 0.0312939 | Time: 2076.32 ms [2022-01-05 16:51:54 main:574] : INFO : Epoch 1746 | loss: 0.0310139 | val_loss: 0.0312999 | Time: 2116.96 ms [2022-01-05 16:51:56 main:574] : INFO : Epoch 1747 | loss: 0.0310202 | val_loss: 0.0312993 | Time: 2067.88 ms [2022-01-05 16:51:58 main:574] : INFO : Epoch 1748 | loss: 0.0310122 | val_loss: 0.0313218 | Time: 2079.48 ms [2022-01-05 16:52:00 main:574] : INFO : Epoch 1749 | loss: 0.031016 | val_loss: 0.0313319 | Time: 2080.77 ms [2022-01-05 16:52:02 main:574] : INFO : Epoch 1750 | loss: 0.0310336 | val_loss: 0.0312646 | Time: 2078.99 ms [2022-01-05 16:52:04 main:574] : INFO : Epoch 1751 | loss: 0.0310407 | val_loss: 0.0312859 | Time: 2071.01 ms [2022-01-05 16:52:06 main:574] : INFO : Epoch 1752 | loss: 0.0310323 | val_loss: 0.0313047 | Time: 2073.59 ms [2022-01-05 16:52:09 main:574] : INFO : Epoch 1753 | loss: 0.0310191 | val_loss: 0.0313272 | Time: 2076.78 ms [2022-01-05 16:52:11 main:574] : INFO : Epoch 1754 | loss: 0.0310158 | val_loss: 0.031336 | Time: 2074.94 ms [2022-01-05 16:52:13 main:574] : INFO : Epoch 1755 | loss: 0.0310124 | val_loss: 0.0313024 | Time: 2086.7 ms [2022-01-05 16:52:15 main:574] : INFO : Epoch 1756 | loss: 0.0310136 | val_loss: 0.0313529 | Time: 2080.16 ms [2022-01-05 16:52:17 main:574] : INFO : Epoch 1757 | loss: 0.0310229 | val_loss: 0.0313324 | Time: 2139.52 ms [2022-01-05 16:52:19 main:574] : INFO : Epoch 1758 | loss: 0.0310239 | val_loss: 0.031303 | Time: 2069.67 ms [2022-01-05 16:52:21 main:574] : INFO : Epoch 1759 | loss: 0.0310093 | val_loss: 0.0313115 | Time: 2056.37 ms [2022-01-05 16:52:23 main:574] : INFO : Epoch 1760 | loss: 0.031016 | val_loss: 0.0313046 | Time: 2073.93 ms [2022-01-05 16:52:25 main:574] : INFO : Epoch 1761 | loss: 0.0310159 | val_loss: 0.0312896 | Time: 2096.4 ms [2022-01-05 16:52:27 main:574] : INFO : Epoch 1762 | loss: 0.0310259 | val_loss: 0.0313026 | Time: 2073.27 ms [2022-01-05 16:52:30 main:574] : INFO : Epoch 1763 | loss: 0.0310206 | val_loss: 0.0313046 | Time: 2070.85 ms [2022-01-05 16:52:32 main:574] : INFO : Epoch 1764 | loss: 0.0310143 | val_loss: 0.0312934 | Time: 2061.62 ms [2022-01-05 16:52:34 main:574] : INFO : Epoch 1765 | loss: 0.031016 | val_loss: 0.0313269 | Time: 2074.1 ms [2022-01-05 16:52:36 main:574] : INFO : Epoch 1766 | loss: 0.031012 | val_loss: 0.0313071 | Time: 2072.04 ms [2022-01-05 16:52:38 main:574] : INFO : Epoch 1767 | loss: 0.0310186 | val_loss: 0.0312944 | Time: 2102.97 ms [2022-01-05 16:52:40 main:574] : INFO : Epoch 1768 | loss: 0.0310212 | val_loss: 0.0313211 | Time: 2070.33 ms [2022-01-05 16:52:42 main:574] : INFO : Epoch 1769 | loss: 0.0310176 | val_loss: 0.031321 | Time: 2083.3 ms [2022-01-05 16:52:44 main:574] : INFO : Epoch 1770 | loss: 0.0310206 | val_loss: 0.031284 | Time: 2062.56 ms [2022-01-05 16:52:46 main:574] : INFO : Epoch 1771 | loss: 0.0310318 | val_loss: 0.0313493 | Time: 2091.77 ms [2022-01-05 16:52:48 main:574] : INFO : Epoch 1772 | loss: 0.0310235 | val_loss: 0.0313049 | Time: 2079.33 ms [2022-01-05 16:52:50 main:574] : INFO : Epoch 1773 | loss: 0.0310125 | val_loss: 0.0313228 | Time: 2069.35 ms [2022-01-05 16:52:53 main:574] : INFO : Epoch 1774 | loss: 0.0310135 | val_loss: 0.0313236 | Time: 2068.21 ms [2022-01-05 16:52:55 main:574] : INFO : Epoch 1775 | loss: 0.0310203 | val_loss: 0.0312921 | Time: 2060.58 ms [2022-01-05 16:52:57 main:574] : INFO : Epoch 1776 | loss: 0.0310179 | val_loss: 0.0313076 | Time: 2054.85 ms [2022-01-05 16:52:59 main:574] : INFO : Epoch 1777 | loss: 0.0310083 | val_loss: 0.0312995 | Time: 2087.72 ms [2022-01-05 16:53:01 main:574] : INFO : Epoch 1778 | loss: 0.0310149 | val_loss: 0.0313033 | Time: 2093.66 ms [2022-01-05 16:53:03 main:574] : INFO : Epoch 1779 | loss: 0.0310232 | val_loss: 0.031294 | Time: 2101.59 ms [2022-01-05 16:53:05 main:574] : INFO : Epoch 1780 | loss: 0.0310268 | val_loss: 0.0313163 | Time: 2106.35 ms [2022-01-05 16:53:07 main:574] : INFO : Epoch 1781 | loss: 0.0310256 | val_loss: 0.0313034 | Time: 2072.3 ms [2022-01-05 16:53:09 main:574] : INFO : Epoch 1782 | loss: 0.03102 | val_loss: 0.0313 | Time: 2118.48 ms [2022-01-05 16:53:11 main:574] : INFO : Epoch 1783 | loss: 0.0310145 | val_loss: 0.0313298 | Time: 2081.79 ms [2022-01-05 16:53:14 main:574] : INFO : Epoch 1784 | loss: 0.031008 | val_loss: 0.0313201 | Time: 2074.76 ms [2022-01-05 16:53:16 main:574] : INFO : Epoch 1785 | loss: 0.0310147 | val_loss: 0.0312864 | Time: 2081.2 ms [2022-01-05 16:53:18 main:574] : INFO : Epoch 1786 | loss: 0.031018 | val_loss: 0.0312941 | Time: 2064.8 ms [2022-01-05 16:53:20 main:574] : INFO : Epoch 1787 | loss: 0.0310257 | val_loss: 0.0313062 | Time: 2091.56 ms [2022-01-05 16:53:22 main:574] : INFO : Epoch 1788 | loss: 0.0310228 | val_loss: 0.0313177 | Time: 2097.59 ms [2022-01-05 16:53:24 main:574] : INFO : Epoch 1789 | loss: 0.0310167 | val_loss: 0.0313152 | Time: 2083.85 ms [2022-01-05 16:53:26 main:574] : INFO : Epoch 1790 | loss: 0.031024 | val_loss: 0.0312858 | Time: 2065.55 ms [2022-01-05 16:53:28 main:574] : INFO : Epoch 1791 | loss: 0.0310395 | val_loss: 0.0313088 | Time: 2078.28 ms [2022-01-05 16:53:30 main:574] : INFO : Epoch 1792 | loss: 0.031022 | val_loss: 0.0313053 | Time: 2065.86 ms [2022-01-05 16:53:32 main:574] : INFO : Epoch 1793 | loss: 0.0310154 | val_loss: 0.0313321 | Time: 2086.75 ms [2022-01-05 16:53:34 main:574] : INFO : Epoch 1794 | loss: 0.0310197 | val_loss: 0.0313107 | Time: 2072.49 ms [2022-01-05 16:53:37 main:574] : INFO : Epoch 1795 | loss: 0.0310191 | val_loss: 0.0312852 | Time: 2077.42 ms [2022-01-05 16:53:39 main:574] : INFO : Epoch 1796 | loss: 0.0310207 | val_loss: 0.0313045 | Time: 2055.59 ms [2022-01-05 16:53:41 main:574] : INFO : Epoch 1797 | loss: 0.0310254 | val_loss: 0.0312966 | Time: 2064.33 ms [2022-01-05 16:53:43 main:574] : INFO : Epoch 1798 | loss: 0.0310145 | val_loss: 0.0313233 | Time: 2090.2 ms [2022-01-05 16:53:45 main:574] : INFO : Epoch 1799 | loss: 0.0310132 | val_loss: 0.0313068 | Time: 2108.45 ms [2022-01-05 16:53:47 main:574] : INFO : Epoch 1800 | loss: 0.0310162 | val_loss: 0.0313198 | Time: 2071.69 ms [2022-01-05 16:53:49 main:574] : INFO : Epoch 1801 | loss: 0.0310512 | val_loss: 0.0312452 | Time: 2094.57 ms [2022-01-05 16:53:51 main:574] : INFO : Epoch 1802 | loss: 0.0310641 | val_loss: 0.0313067 | Time: 2093.97 ms [2022-01-05 16:53:53 main:574] : INFO : Epoch 1803 | loss: 0.0310279 | val_loss: 0.0313364 | Time: 2052.41 ms [2022-01-05 16:53:55 main:574] : INFO : Epoch 1804 | loss: 0.0310148 | val_loss: 0.0313258 | Time: 2072.41 ms [2022-01-05 16:53:58 main:574] : INFO : Epoch 1805 | loss: 0.0310221 | val_loss: 0.0313084 | Time: 2069.8 ms [2022-01-05 16:54:00 main:574] : INFO : Epoch 1806 | loss: 0.03102 | val_loss: 0.0313179 | Time: 2091.94 ms [2022-01-05 16:54:02 main:574] : INFO : Epoch 1807 | loss: 0.0310164 | val_loss: 0.0313213 | Time: 2098.2 ms [2022-01-05 16:54:04 main:574] : INFO : Epoch 1808 | loss: 0.0310118 | val_loss: 0.0312992 | Time: 2066.29 ms [2022-01-05 16:54:06 main:574] : INFO : Epoch 1809 | loss: 0.0310232 | val_loss: 0.031309 | Time: 2100.55 ms [2022-01-05 16:54:08 main:574] : INFO : Epoch 1810 | loss: 0.0310216 | val_loss: 0.0313135 | Time: 2098.1 ms [2022-01-05 16:54:10 main:574] : INFO : Epoch 1811 | loss: 0.0310162 | val_loss: 0.0313018 | Time: 2111.79 ms [2022-01-05 16:54:12 main:574] : INFO : Epoch 1812 | loss: 0.0310212 | val_loss: 0.0312938 | Time: 2094.29 ms [2022-01-05 16:54:14 main:574] : INFO : Epoch 1813 | loss: 0.031015 | val_loss: 0.0313021 | Time: 2067.64 ms [2022-01-05 16:54:16 main:574] : INFO : Epoch 1814 | loss: 0.0310203 | val_loss: 0.0313126 | Time: 2094.29 ms [2022-01-05 16:54:19 main:574] : INFO : Epoch 1815 | loss: 0.0310091 | val_loss: 0.0313175 | Time: 2115.29 ms [2022-01-05 16:54:21 main:574] : INFO : Epoch 1816 | loss: 0.031025 | val_loss: 0.0312889 | Time: 2074.7 ms [2022-01-05 16:54:23 main:574] : INFO : Epoch 1817 | loss: 0.0310146 | val_loss: 0.0313092 | Time: 2092.34 ms [2022-01-05 16:54:25 main:574] : INFO : Epoch 1818 | loss: 0.0310203 | val_loss: 0.0312884 | Time: 2067.86 ms [2022-01-05 16:54:27 main:574] : INFO : Epoch 1819 | loss: 0.0310191 | val_loss: 0.0313139 | Time: 2084.01 ms [2022-01-05 16:54:29 main:574] : INFO : Epoch 1820 | loss: 0.0310135 | val_loss: 0.0313118 | Time: 2067.02 ms [2022-01-05 16:54:31 main:574] : INFO : Epoch 1821 | loss: 0.0310224 | val_loss: 0.0313029 | Time: 2084.96 ms [2022-01-05 16:54:33 main:574] : INFO : Epoch 1822 | loss: 0.0310133 | val_loss: 0.0313128 | Time: 2069.75 ms [2022-01-05 16:54:35 main:574] : INFO : Epoch 1823 | loss: 0.0310133 | val_loss: 0.0313527 | Time: 2069.44 ms [2022-01-05 16:54:37 main:574] : INFO : Epoch 1824 | loss: 0.031018 | val_loss: 0.0313061 | Time: 2072.6 ms [2022-01-05 16:54:40 main:574] : INFO : Epoch 1825 | loss: 0.0310131 | val_loss: 0.0313249 | Time: 2068.14 ms [2022-01-05 16:54:42 main:574] : INFO : Epoch 1826 | loss: 0.0310209 | val_loss: 0.0313168 | Time: 2087.27 ms [2022-01-05 16:54:44 main:574] : INFO : Epoch 1827 | loss: 0.0310283 | val_loss: 0.0312936 | Time: 2073.73 ms [2022-01-05 16:54:46 main:574] : INFO : Epoch 1828 | loss: 0.0310306 | val_loss: 0.0313037 | Time: 2072.47 ms [2022-01-05 16:54:48 main:574] : INFO : Epoch 1829 | loss: 0.0310209 | val_loss: 0.0312918 | Time: 2074.72 ms [2022-01-05 16:54:50 main:574] : INFO : Epoch 1830 | loss: 0.0310186 | val_loss: 0.031307 | Time: 2093.28 ms [2022-01-05 16:54:52 main:574] : INFO : Epoch 1831 | loss: 0.0310199 | val_loss: 0.0313137 | Time: 2072.56 ms [2022-01-05 16:54:54 main:574] : INFO : Epoch 1832 | loss: 0.0310207 | val_loss: 0.0313193 | Time: 2078.86 ms [2022-01-05 16:54:56 main:574] : INFO : Epoch 1833 | loss: 0.031019 | val_loss: 0.0313255 | Time: 2081.8 ms [2022-01-05 16:54:58 main:574] : INFO : Epoch 1834 | loss: 0.0310242 | val_loss: 0.031316 | Time: 2075.85 ms [2022-01-05 16:55:00 main:574] : INFO : Epoch 1835 | loss: 0.0310192 | val_loss: 0.0313225 | Time: 2077.36 ms [2022-01-05 16:55:03 main:574] : INFO : Epoch 1836 | loss: 0.0310097 | val_loss: 0.0313144 | Time: 2071.44 ms [2022-01-05 16:55:05 main:574] : INFO : Epoch 1837 | loss: 0.0310217 | val_loss: 0.0313394 | Time: 2064.22 ms [2022-01-05 16:55:07 main:574] : INFO : Epoch 1838 | loss: 0.0310148 | val_loss: 0.0313014 | Time: 2067.22 ms [2022-01-05 16:55:09 main:574] : INFO : Epoch 1839 | loss: 0.0310112 | val_loss: 0.0313027 | Time: 2067.68 ms [2022-01-05 16:55:11 main:574] : INFO : Epoch 1840 | loss: 0.0310165 | val_loss: 0.0313355 | Time: 2103.33 ms [2022-01-05 16:55:13 main:574] : INFO : Epoch 1841 | loss: 0.0310175 | val_loss: 0.031292 | Time: 2085.53 ms [2022-01-05 16:55:15 main:574] : INFO : Epoch 1842 | loss: 0.0310221 | val_loss: 0.0313028 | Time: 2064.12 ms [2022-01-05 16:55:17 main:574] : INFO : Epoch 1843 | loss: 0.03102 | val_loss: 0.0312864 | Time: 2068.54 ms [2022-01-05 16:55:19 main:574] : INFO : Epoch 1844 | loss: 0.0310138 | val_loss: 0.0313312 | Time: 2067.92 ms [2022-01-05 16:55:21 main:574] : INFO : Epoch 1845 | loss: 0.0310071 | val_loss: 0.0313155 | Time: 2079.09 ms [2022-01-05 16:55:23 main:574] : INFO : Epoch 1846 | loss: 0.031007 | val_loss: 0.0313089 | Time: 2069.91 ms [2022-01-05 16:55:26 main:574] : INFO : Epoch 1847 | loss: 0.031015 | val_loss: 0.0312931 | Time: 2062.08 ms [2022-01-05 16:55:28 main:574] : INFO : Epoch 1848 | loss: 0.0310255 | val_loss: 0.0313022 | Time: 2069.82 ms [2022-01-05 16:55:30 main:574] : INFO : Epoch 1849 | loss: 0.0310173 | val_loss: 0.0313145 | Time: 2088.07 ms [2022-01-05 16:55:32 main:574] : INFO : Epoch 1850 | loss: 0.0310166 | val_loss: 0.0312979 | Time: 2077.42 ms [2022-01-05 16:55:34 main:574] : INFO : Epoch 1851 | loss: 0.0310191 | val_loss: 0.031297 | Time: 2089.74 ms [2022-01-05 16:55:36 main:574] : INFO : Epoch 1852 | loss: 0.031015 | val_loss: 0.0313015 | Time: 2070.73 ms [2022-01-05 16:55:38 main:574] : INFO : Epoch 1853 | loss: 0.0310207 | val_loss: 0.0312809 | Time: 2073.43 ms [2022-01-05 16:55:40 main:574] : INFO : Epoch 1854 | loss: 0.0310143 | val_loss: 0.0313394 | Time: 2067.1 ms [2022-01-05 16:55:42 main:574] : INFO : Epoch 1855 | loss: 0.0310204 | val_loss: 0.0313185 | Time: 2080.07 ms [2022-01-05 16:55:44 main:574] : INFO : Epoch 1856 | loss: 0.0310136 | val_loss: 0.031342 | Time: 2065.39 ms [2022-01-05 16:55:46 main:574] : INFO : Epoch 1857 | loss: 0.0310102 | val_loss: 0.0313127 | Time: 2120.76 ms [2022-01-05 16:55:49 main:574] : INFO : Epoch 1858 | loss: 0.0310124 | val_loss: 0.0313281 | Time: 2093.83 ms [2022-01-05 16:55:51 main:574] : INFO : Epoch 1859 | loss: 0.0310221 | val_loss: 0.0313286 | Time: 2084.3 ms [2022-01-05 16:55:53 main:574] : INFO : Epoch 1860 | loss: 0.0310182 | val_loss: 0.0313314 | Time: 2082.29 ms [2022-01-05 16:55:55 main:574] : INFO : Epoch 1861 | loss: 0.0310199 | val_loss: 0.0313015 | Time: 2069.95 ms [2022-01-05 16:55:57 main:574] : INFO : Epoch 1862 | loss: 0.0310185 | val_loss: 0.0313153 | Time: 2078.68 ms [2022-01-05 16:55:59 main:574] : INFO : Epoch 1863 | loss: 0.0310254 | val_loss: 0.0313111 | Time: 2094.68 ms [2022-01-05 16:56:01 main:574] : INFO : Epoch 1864 | loss: 0.0310236 | val_loss: 0.0312926 | Time: 2058.58 ms [2022-01-05 16:56:03 main:574] : INFO : Epoch 1865 | loss: 0.0310172 | val_loss: 0.0313281 | Time: 2078.36 ms [2022-01-05 16:56:05 main:574] : INFO : Epoch 1866 | loss: 0.0310127 | val_loss: 0.0313183 | Time: 2091.49 ms [2022-01-05 16:56:07 main:574] : INFO : Epoch 1867 | loss: 0.0310135 | val_loss: 0.0312955 | Time: 2079.61 ms [2022-01-05 16:56:10 main:574] : INFO : Epoch 1868 | loss: 0.0310101 | val_loss: 0.0313285 | Time: 2087.14 ms [2022-01-05 16:56:12 main:574] : INFO : Epoch 1869 | loss: 0.0310103 | val_loss: 0.0313103 | Time: 2043.6 ms [2022-01-05 16:56:14 main:574] : INFO : Epoch 1870 | loss: 0.0310146 | val_loss: 0.0313358 | Time: 2080.8 ms [2022-01-05 16:56:16 main:574] : INFO : Epoch 1871 | loss: 0.0310182 | val_loss: 0.031272 | Time: 2053.7 ms [2022-01-05 16:56:18 main:574] : INFO : Epoch 1872 | loss: 0.0310195 | val_loss: 0.0313238 | Time: 2070.99 ms [2022-01-05 16:56:20 main:574] : INFO : Epoch 1873 | loss: 0.0310089 | val_loss: 0.0313066 | Time: 2090.21 ms [2022-01-05 16:56:22 main:574] : INFO : Epoch 1874 | loss: 0.0310192 | val_loss: 0.0312952 | Time: 2062.36 ms [2022-01-05 16:56:24 main:574] : INFO : Epoch 1875 | loss: 0.0310208 | val_loss: 0.0313315 | Time: 2065.56 ms [2022-01-05 16:56:26 main:574] : INFO : Epoch 1876 | loss: 0.0310139 | val_loss: 0.0313115 | Time: 2075.25 ms [2022-01-05 16:56:28 main:574] : INFO : Epoch 1877 | loss: 0.031017 | val_loss: 0.0313036 | Time: 2084.52 ms [2022-01-05 16:56:30 main:574] : INFO : Epoch 1878 | loss: 0.0310084 | val_loss: 0.0313473 | Time: 2055.08 ms [2022-01-05 16:56:32 main:574] : INFO : Epoch 1879 | loss: 0.0310096 | val_loss: 0.0313136 | Time: 2060.19 ms [2022-01-05 16:56:35 main:574] : INFO : Epoch 1880 | loss: 0.0310254 | val_loss: 0.0313136 | Time: 2090.63 ms [2022-01-05 16:56:37 main:574] : INFO : Epoch 1881 | loss: 0.0310187 | val_loss: 0.031288 | Time: 2098.45 ms [2022-01-05 16:56:39 main:574] : INFO : Epoch 1882 | loss: 0.0310101 | val_loss: 0.031332 | Time: 2097.54 ms [2022-01-05 16:56:41 main:574] : INFO : Epoch 1883 | loss: 0.0310208 | val_loss: 0.0312886 | Time: 2102.56 ms [2022-01-05 16:56:43 main:574] : INFO : Epoch 1884 | loss: 0.031016 | val_loss: 0.0313087 | Time: 2069.55 ms [2022-01-05 16:56:45 main:574] : INFO : Epoch 1885 | loss: 0.0310112 | val_loss: 0.0313134 | Time: 2072.34 ms [2022-01-05 16:56:47 main:574] : INFO : Epoch 1886 | loss: 0.0310119 | val_loss: 0.0313291 | Time: 2094.9 ms [2022-01-05 16:56:49 main:574] : INFO : Epoch 1887 | loss: 0.0310133 | val_loss: 0.0313037 | Time: 2105.47 ms [2022-01-05 16:56:51 main:574] : INFO : Epoch 1888 | loss: 0.0310181 | val_loss: 0.0313066 | Time: 2073.18 ms [2022-01-05 16:56:53 main:574] : INFO : Epoch 1889 | loss: 0.0310166 | val_loss: 0.0312895 | Time: 2070.46 ms [2022-01-05 16:56:56 main:574] : INFO : Epoch 1890 | loss: 0.0310112 | val_loss: 0.0313007 | Time: 2065.21 ms [2022-01-05 16:56:58 main:574] : INFO : Epoch 1891 | loss: 0.0310093 | val_loss: 0.0312932 | Time: 2073.41 ms [2022-01-05 16:57:00 main:574] : INFO : Epoch 1892 | loss: 0.0310204 | val_loss: 0.0313015 | Time: 2073.95 ms [2022-01-05 16:57:02 main:574] : INFO : Epoch 1893 | loss: 0.0310158 | val_loss: 0.0313257 | Time: 2078.32 ms [2022-01-05 16:57:04 main:574] : INFO : Epoch 1894 | loss: 0.0310172 | val_loss: 0.0312921 | Time: 2087.16 ms [2022-01-05 16:57:06 main:574] : INFO : Epoch 1895 | loss: 0.0310243 | val_loss: 0.0313084 | Time: 2104.58 ms [2022-01-05 16:57:08 main:574] : INFO : Epoch 1896 | loss: 0.0310123 | val_loss: 0.0313119 | Time: 2058.64 ms [2022-01-05 16:57:10 main:574] : INFO : Epoch 1897 | loss: 0.031015 | val_loss: 0.0312827 | Time: 2056.64 ms [2022-01-05 16:57:12 main:574] : INFO : Epoch 1898 | loss: 0.0310206 | val_loss: 0.0313042 | Time: 2073.21 ms [2022-01-05 16:57:14 main:574] : INFO : Epoch 1899 | loss: 0.0310091 | val_loss: 0.031282 | Time: 2079.14 ms [2022-01-05 16:57:16 main:574] : INFO : Epoch 1900 | loss: 0.0310186 | val_loss: 0.0312932 | Time: 2089.12 ms [2022-01-05 16:57:19 main:574] : INFO : Epoch 1901 | loss: 0.0310159 | val_loss: 0.0313179 | Time: 2075.14 ms [2022-01-05 16:57:21 main:574] : INFO : Epoch 1902 | loss: 0.0310216 | val_loss: 0.0312911 | Time: 2072.59 ms [2022-01-05 16:57:23 main:574] : INFO : Epoch 1903 | loss: 0.0310185 | val_loss: 0.0313137 | Time: 2094.97 ms [2022-01-05 16:57:25 main:574] : INFO : Epoch 1904 | loss: 0.0310088 | val_loss: 0.0313183 | Time: 2073.68 ms [2022-01-05 16:57:27 main:574] : INFO : Epoch 1905 | loss: 0.0310141 | val_loss: 0.0312806 | Time: 2086.81 ms [2022-01-05 16:57:29 main:574] : INFO : Epoch 1906 | loss: 0.0310301 | val_loss: 0.0312828 | Time: 2070.01 ms [2022-01-05 16:57:31 main:574] : INFO : Epoch 1907 | loss: 0.0310379 | val_loss: 0.031292 | Time: 2078.86 ms [2022-01-05 16:57:33 main:574] : INFO : Epoch 1908 | loss: 0.0310227 | val_loss: 0.0313102 | Time: 2075.6 ms [2022-01-05 16:57:35 main:574] : INFO : Epoch 1909 | loss: 0.0310125 | val_loss: 0.0313026 | Time: 2092.52 ms [2022-01-05 16:57:37 main:574] : INFO : Epoch 1910 | loss: 0.0310243 | val_loss: 0.0313022 | Time: 2089.56 ms [2022-01-05 16:57:40 main:574] : INFO : Epoch 1911 | loss: 0.0310211 | val_loss: 0.0313365 | Time: 2092.23 ms [2022-01-05 16:57:42 main:574] : INFO : Epoch 1912 | loss: 0.0310168 | val_loss: 0.031306 | Time: 2103.83 ms [2022-01-05 16:57:44 main:574] : INFO : Epoch 1913 | loss: 0.0310159 | val_loss: 0.0313127 | Time: 2079.71 ms [2022-01-05 16:57:46 main:574] : INFO : Epoch 1914 | loss: 0.0310162 | val_loss: 0.0313036 | Time: 2098.26 ms [2022-01-05 16:57:48 main:574] : INFO : Epoch 1915 | loss: 0.031023 | val_loss: 0.0312927 | Time: 2081.68 ms [2022-01-05 16:57:50 main:574] : INFO : Epoch 1916 | loss: 0.0310259 | val_loss: 0.0313066 | Time: 2061.84 ms [2022-01-05 16:57:52 main:574] : INFO : Epoch 1917 | loss: 0.0310149 | val_loss: 0.0313298 | Time: 2072.98 ms [2022-01-05 16:57:54 main:574] : INFO : Epoch 1918 | loss: 0.0310148 | val_loss: 0.0313141 | Time: 2088.28 ms [2022-01-05 16:57:56 main:574] : INFO : Epoch 1919 | loss: 0.0310254 | val_loss: 0.0313338 | Time: 2072.12 ms [2022-01-05 16:57:58 main:574] : INFO : Epoch 1920 | loss: 0.0310128 | val_loss: 0.0313075 | Time: 2070.53 ms [2022-01-05 16:58:00 main:574] : INFO : Epoch 1921 | loss: 0.0310088 | val_loss: 0.0313023 | Time: 2060.66 ms [2022-01-05 16:58:03 main:574] : INFO : Epoch 1922 | loss: 0.0310097 | val_loss: 0.0313114 | Time: 2089.69 ms [2022-01-05 16:58:05 main:574] : INFO : Epoch 1923 | loss: 0.0310196 | val_loss: 0.0312902 | Time: 2076.98 ms [2022-01-05 16:58:07 main:574] : INFO : Epoch 1924 | loss: 0.03102 | val_loss: 0.031291 | Time: 2087.45 ms [2022-01-05 16:58:09 main:574] : INFO : Epoch 1925 | loss: 0.0310186 | val_loss: 0.0312924 | Time: 2099.94 ms [2022-01-05 16:58:11 main:574] : INFO : Epoch 1926 | loss: 0.0310166 | val_loss: 0.0312976 | Time: 2082.83 ms [2022-01-05 16:58:13 main:574] : INFO : Epoch 1927 | loss: 0.0310118 | val_loss: 0.0313108 | Time: 2074.66 ms [2022-01-05 16:58:15 main:574] : INFO : Epoch 1928 | loss: 0.0310207 | val_loss: 0.0313292 | Time: 2105.09 ms [2022-01-05 16:58:17 main:574] : INFO : Epoch 1929 | loss: 0.0310181 | val_loss: 0.0313018 | Time: 2080.89 ms [2022-01-05 16:58:19 main:574] : INFO : Epoch 1930 | loss: 0.0310123 | val_loss: 0.031329 | Time: 2089.56 ms [2022-01-05 16:58:21 main:574] : INFO : Epoch 1931 | loss: 0.0310199 | val_loss: 0.031305 | Time: 2081.86 ms [2022-01-05 16:58:24 main:574] : INFO : Epoch 1932 | loss: 0.0310131 | val_loss: 0.0312983 | Time: 2063.82 ms [2022-01-05 16:58:26 main:574] : INFO : Epoch 1933 | loss: 0.0310135 | val_loss: 0.03131 | Time: 2073.43 ms [2022-01-05 16:58:28 main:574] : INFO : Epoch 1934 | loss: 0.0310253 | val_loss: 0.0312572 | Time: 2086.73 ms [2022-01-05 16:58:30 main:574] : INFO : Epoch 1935 | loss: 0.0310485 | val_loss: 0.0313061 | Time: 2073.25 ms [2022-01-05 16:58:32 main:574] : INFO : Epoch 1936 | loss: 0.0310237 | val_loss: 0.0313293 | Time: 2062.12 ms [2022-01-05 16:58:34 main:574] : INFO : Epoch 1937 | loss: 0.0310218 | val_loss: 0.0313068 | Time: 2101.5 ms [2022-01-05 16:58:36 main:574] : INFO : Epoch 1938 | loss: 0.0310156 | val_loss: 0.0313035 | Time: 2080.66 ms [2022-01-05 16:58:38 main:574] : INFO : Epoch 1939 | loss: 0.0310172 | val_loss: 0.0312902 | Time: 2087.83 ms [2022-01-05 16:58:40 main:574] : INFO : Epoch 1940 | loss: 0.0310692 | val_loss: 0.0312563 | Time: 2071.88 ms [2022-01-05 16:58:42 main:574] : INFO : Epoch 1941 | loss: 0.0310827 | val_loss: 0.0312949 | Time: 2074.16 ms [2022-01-05 16:58:44 main:574] : INFO : Epoch 1942 | loss: 0.0310455 | val_loss: 0.0312835 | Time: 2107.93 ms [2022-01-05 16:58:47 main:574] : INFO : Epoch 1943 | loss: 0.0310274 | val_loss: 0.0313078 | Time: 2066.67 ms [2022-01-05 16:58:49 main:574] : INFO : Epoch 1944 | loss: 0.0310212 | val_loss: 0.0312956 | Time: 2090.94 ms [2022-01-05 16:58:51 main:574] : INFO : Epoch 1945 | loss: 0.0310117 | val_loss: 0.0313062 | Time: 2064.65 ms [2022-01-05 16:58:53 main:574] : INFO : Epoch 1946 | loss: 0.031011 | val_loss: 0.0313089 | Time: 2100.48 ms [2022-01-05 16:58:55 main:574] : INFO : Epoch 1947 | loss: 0.0310063 | val_loss: 0.0313111 | Time: 2084.78 ms [2022-01-05 16:58:57 main:574] : INFO : Epoch 1948 | loss: 0.0310113 | val_loss: 0.0313045 | Time: 2093.42 ms [2022-01-05 16:58:59 main:574] : INFO : Epoch 1949 | loss: 0.0310155 | val_loss: 0.0313197 | Time: 2073.95 ms [2022-01-05 16:59:01 main:574] : INFO : Epoch 1950 | loss: 0.0310157 | val_loss: 0.0313208 | Time: 2099.77 ms [2022-01-05 16:59:03 main:574] : INFO : Epoch 1951 | loss: 0.0310118 | val_loss: 0.0313103 | Time: 2110.84 ms [2022-01-05 16:59:06 main:574] : INFO : Epoch 1952 | loss: 0.0310107 | val_loss: 0.0313349 | Time: 2081.04 ms [2022-01-05 16:59:08 main:574] : INFO : Epoch 1953 | loss: 0.0310153 | val_loss: 0.0312992 | Time: 2100.34 ms [2022-01-05 16:59:10 main:574] : INFO : Epoch 1954 | loss: 0.0310184 | val_loss: 0.0312993 | Time: 2096.63 ms [2022-01-05 16:59:12 main:574] : INFO : Epoch 1955 | loss: 0.0310284 | val_loss: 0.0312836 | Time: 2091.55 ms [2022-01-05 16:59:14 main:574] : INFO : Epoch 1956 | loss: 0.0310177 | val_loss: 0.0313388 | Time: 2048.93 ms [2022-01-05 16:59:16 main:574] : INFO : Epoch 1957 | loss: 0.0310264 | val_loss: 0.0313061 | Time: 2074 ms [2022-01-05 16:59:18 main:574] : INFO : Epoch 1958 | loss: 0.0310216 | val_loss: 0.0312833 | Time: 2132.74 ms [2022-01-05 16:59:20 main:574] : INFO : Epoch 1959 | loss: 0.0310174 | val_loss: 0.0313074 | Time: 2126.73 ms [2022-01-05 16:59:22 main:574] : INFO : Epoch 1960 | loss: 0.0310191 | val_loss: 0.031318 | Time: 2068.42 ms [2022-01-05 16:59:24 main:574] : INFO : Epoch 1961 | loss: 0.0310156 | val_loss: 0.0313039 | Time: 2130.94 ms [2022-01-05 16:59:27 main:574] : INFO : Epoch 1962 | loss: 0.03101 | val_loss: 0.0313237 | Time: 2100.91 ms [2022-01-05 16:59:29 main:574] : INFO : Epoch 1963 | loss: 0.0310165 | val_loss: 0.0313053 | Time: 2082.47 ms [2022-01-05 16:59:31 main:574] : INFO : Epoch 1964 | loss: 0.0310193 | val_loss: 0.0312979 | Time: 2074.64 ms [2022-01-05 16:59:33 main:574] : INFO : Epoch 1965 | loss: 0.0310137 | val_loss: 0.031318 | Time: 2095.23 ms [2022-01-05 16:59:35 main:574] : INFO : Epoch 1966 | loss: 0.0310199 | val_loss: 0.0313128 | Time: 2061.58 ms [2022-01-05 16:59:37 main:574] : INFO : Epoch 1967 | loss: 0.0310321 | val_loss: 0.0312849 | Time: 2079.25 ms [2022-01-05 16:59:39 main:574] : INFO : Epoch 1968 | loss: 0.0311406 | val_loss: 0.0312217 | Time: 2064.34 ms [2022-01-05 16:59:41 main:574] : INFO : Epoch 1969 | loss: 0.031208 | val_loss: 0.0312126 | Time: 2077.55 ms [2022-01-05 16:59:43 main:574] : INFO : Epoch 1970 | loss: 0.0311967 | val_loss: 0.031199 | Time: 2090.15 ms [2022-01-05 16:59:45 main:574] : INFO : Epoch 1971 | loss: 0.0311845 | val_loss: 0.0311934 | Time: 2087.1 ms [2022-01-05 16:59:48 main:574] : INFO : Epoch 1972 | loss: 0.0311772 | val_loss: 0.0311913 | Time: 2083.16 ms [2022-01-05 16:59:50 main:574] : INFO : Epoch 1973 | loss: 0.0311717 | val_loss: 0.0311918 | Time: 2083.41 ms [2022-01-05 16:59:52 main:574] : INFO : Epoch 1974 | loss: 0.0311683 | val_loss: 0.0311926 | Time: 2061.67 ms [2022-01-05 16:59:54 main:574] : INFO : Epoch 1975 | loss: 0.0311628 | val_loss: 0.0311944 | Time: 2080.2 ms [2022-01-05 16:59:56 main:574] : INFO : Epoch 1976 | loss: 0.0311595 | val_loss: 0.0311939 | Time: 2053.42 ms [2022-01-05 16:59:58 main:574] : INFO : Epoch 1977 | loss: 0.0311579 | val_loss: 0.0311971 | Time: 2065.83 ms [2022-01-05 17:00:00 main:574] : INFO : Epoch 1978 | loss: 0.0311537 | val_loss: 0.0311971 | Time: 2105.53 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: GeForce RTX 2060) [2022-01-06 01:00:01 main:435] : INFO : Set logging level to 1 [2022-01-06 01:00:01 main:441] : INFO : Running in BOINC Client mode [2022-01-06 01:00:01 main:444] : INFO : Resolving all filenames [2022-01-06 01:00:01 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-01-06 01:00:01 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-01-06 01:00:01 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-01-06 01:00:01 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2022-01-06 01:00:01 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-01-06 01:00:01 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-01-06 01:00:01 main:474] : INFO : Configuration: [2022-01-06 01:00:01 main:475] : INFO : Model type: GRU [2022-01-06 01:00:01 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-01-06 01:00:01 main:477] : INFO : Max Epochs: 2048 [2022-01-06 01:00:01 main:478] : INFO : Batch Size: 128 [2022-01-06 01:00:01 main:479] : INFO : Learning Rate: 0.01 [2022-01-06 01:00:01 main:480] : INFO : Patience: 10 [2022-01-06 01:00:01 main:481] : INFO : Hidden Width: 12 [2022-01-06 01:00:01 main:482] : INFO : # Recurrent Layers: 4 [2022-01-06 01:00:01 main:483] : INFO : # Backend Layers: 4 [2022-01-06 01:00:01 main:484] : INFO : # Threads: 1 [2022-01-06 01:00:01 main:486] : INFO : Preparing Dataset [2022-01-06 01:00:01 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-01-06 01:00:01 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory [2022-01-06 01:00:03 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2022-01-06 01:00:03 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory [2022-01-06 01:00:03 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory [2022-01-06 01:00:03 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2022-01-06 01:00:03 main:494] : INFO : Creating Model [2022-01-06 01:00:03 main:507] : INFO : Preparing config file [2022-01-06 01:00:03 main:511] : INFO : Found checkpoint, attempting to load... [2022-01-06 01:00:04 main:512] : INFO : Loading config [2022-01-06 01:00:04 main:514] : INFO : Loading state [2022-01-06 01:00:05 main:559] : INFO : Loading DataLoader into Memory [2022-01-06 01:00:05 main:562] : INFO : Starting Training [2022-01-06 01:00:07 main:574] : INFO : Epoch 1968 | loss: 0.0311385 | val_loss: 0.0312667 | Time: 2142.98 ms [2022-01-06 01:00:09 main:574] : INFO : Epoch 1969 | loss: 0.0310634 | val_loss: 0.0312955 | Time: 1856.77 ms [2022-01-06 01:00:11 main:574] : INFO : Epoch 1970 | loss: 0.0310334 | val_loss: 0.0312923 | Time: 1841.76 ms [2022-01-06 01:00:13 main:574] : INFO : Epoch 1971 | loss: 0.0310289 | val_loss: 0.0313039 | Time: 1821.45 ms [2022-01-06 01:00:15 main:574] : INFO : Epoch 1972 | loss: 0.0310321 | val_loss: 0.0312865 | Time: 1854.35 ms [2022-01-06 01:00:16 main:574] : INFO : Epoch 1973 | loss: 0.0310232 | val_loss: 0.0312996 | Time: 1898.91 ms [2022-01-06 01:00:18 main:574] : INFO : Epoch 1974 | loss: 0.0310197 | val_loss: 0.0312963 | Time: 1996 ms [2022-01-06 01:00:20 main:574] : INFO : Epoch 1975 | loss: 0.0310206 | val_loss: 0.0312837 | Time: 1977.41 ms [2022-01-06 01:00:22 main:574] : INFO : Epoch 1976 | loss: 0.0310243 | val_loss: 0.0313095 | Time: 1968.08 ms [2022-01-06 01:00:24 main:574] : INFO : Epoch 1977 | loss: 0.0310177 | val_loss: 0.031314 | Time: 1971.52 ms [2022-01-06 01:00:26 main:574] : INFO : Epoch 1978 | loss: 0.0310161 | val_loss: 0.0313138 | Time: 1976.95 ms [2022-01-06 01:00:28 main:574] : INFO : Epoch 1979 | loss: 0.0310161 | val_loss: 0.0313102 | Time: 1977.77 ms [2022-01-06 01:00:30 main:574] : INFO : Epoch 1980 | loss: 0.0310161 | val_loss: 0.031307 | Time: 1972.67 ms [2022-01-06 01:00:32 main:574] : INFO : Epoch 1981 | loss: 0.0310203 | val_loss: 0.0312948 | Time: 1979.82 ms [2022-01-06 01:00:34 main:574] : INFO : Epoch 1982 | loss: 0.0310153 | val_loss: 0.0313235 | Time: 1981.7 ms [2022-01-06 01:00:36 main:574] : INFO : Epoch 1983 | loss: 0.0310311 | val_loss: 0.0313028 | Time: 1969.1 ms [2022-01-06 01:00:38 main:574] : INFO : Epoch 1984 | loss: 0.0310254 | val_loss: 0.0312835 | Time: 1980.36 ms [2022-01-06 01:00:40 main:574] : INFO : Epoch 1985 | loss: 0.0310209 | val_loss: 0.0312873 | Time: 1984.29 ms [2022-01-06 01:00:42 main:574] : INFO : Epoch 1986 | loss: 0.0310224 | val_loss: 0.0313044 | Time: 1978.85 ms [2022-01-06 01:00:44 main:574] : INFO : Epoch 1987 | loss: 0.0310186 | val_loss: 0.0312897 | Time: 1978.62 ms [2022-01-06 01:00:46 main:574] : INFO : Epoch 1988 | loss: 0.0310168 | val_loss: 0.0312934 | Time: 1984.7 ms [2022-01-06 01:00:48 main:574] : INFO : Epoch 1989 | loss: 0.0310159 | val_loss: 0.0313204 | Time: 1990.8 ms [2022-01-06 01:00:50 main:574] : INFO : Epoch 1990 | loss: 0.0310153 | val_loss: 0.0313103 | Time: 1979.36 ms [2022-01-06 01:00:52 main:574] : INFO : Epoch 1991 | loss: 0.0310134 | val_loss: 0.0312962 | Time: 1975.3 ms [2022-01-06 01:00:54 main:574] : INFO : Epoch 1992 | loss: 0.0310154 | val_loss: 0.0312892 | Time: 1970.72 ms [2022-01-06 01:00:56 main:574] : INFO : Epoch 1993 | loss: 0.0310195 | val_loss: 0.031311 | Time: 1980.24 ms [2022-01-06 01:00:58 main:574] : INFO : Epoch 1994 | loss: 0.0310255 | val_loss: 0.0313203 | Time: 1971.89 ms [2022-01-06 01:01:00 main:574] : INFO : Epoch 1995 | loss: 0.0310237 | val_loss: 0.0313117 | Time: 1986.22 ms [2022-01-06 01:01:02 main:574] : INFO : Epoch 1996 | loss: 0.031015 | val_loss: 0.0313014 | Time: 1973.33 ms [2022-01-06 01:01:04 main:574] : INFO : Epoch 1997 | loss: 0.031013 | val_loss: 0.0313185 | Time: 1966.78 ms [2022-01-06 01:01:06 main:574] : INFO : Epoch 1998 | loss: 0.0310221 | val_loss: 0.031309 | Time: 1985.5 ms [2022-01-06 01:01:08 main:574] : INFO : Epoch 1999 | loss: 0.0310315 | val_loss: 0.0312857 | Time: 1967.51 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: GeForce RTX 2060) [2022-01-06 01:05:51 main:435] : INFO : Set logging level to 1 [2022-01-06 01:05:51 main:441] : INFO : Running in BOINC Client mode [2022-01-06 01:05:51 main:444] : INFO : Resolving all filenames [2022-01-06 01:05:51 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-01-06 01:05:51 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-01-06 01:05:51 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-01-06 01:05:51 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2022-01-06 01:05:51 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-01-06 01:05:51 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-01-06 01:05:51 main:474] : INFO : Configuration: [2022-01-06 01:05:51 main:475] : INFO : Model type: GRU [2022-01-06 01:05:51 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-01-06 01:05:51 main:477] : INFO : Max Epochs: 2048 [2022-01-06 01:05:51 main:478] : INFO : Batch Size: 128 [2022-01-06 01:05:51 main:479] : INFO : Learning Rate: 0.01 [2022-01-06 01:05:51 main:480] : INFO : Patience: 10 [2022-01-06 01:05:51 main:481] : INFO : Hidden Width: 12 [2022-01-06 01:05:51 main:482] : INFO : # Recurrent Layers: 4 [2022-01-06 01:05:51 main:483] : INFO : # Backend Layers: 4 [2022-01-06 01:05:51 main:484] : INFO : # Threads: 1 [2022-01-06 01:05:51 main:486] : INFO : Preparing Dataset [2022-01-06 01:05:51 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-01-06 01:05:52 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory [2022-01-06 01:05:54 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2022-01-06 01:05:54 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory [2022-01-06 01:05:54 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory [2022-01-06 01:05:55 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2022-01-06 01:05:55 main:494] : INFO : Creating Model [2022-01-06 01:05:55 main:507] : INFO : Preparing config file [2022-01-06 01:05:55 main:511] : INFO : Found checkpoint, attempting to load... [2022-01-06 01:05:55 main:512] : INFO : Loading config [2022-01-06 01:05:55 main:514] : INFO : Loading state [2022-01-06 01:05:57 main:559] : INFO : Loading DataLoader into Memory [2022-01-06 01:05:57 main:562] : INFO : Starting Training [2022-01-06 01:05:59 main:574] : INFO : Epoch 2000 | loss: 0.0311304 | val_loss: 0.031263 | Time: 2631.45 ms [2022-01-06 01:06:01 main:574] : INFO : Epoch 2001 | loss: 0.0310629 | val_loss: 0.0312606 | Time: 2148.57 ms [2022-01-06 01:06:04 main:574] : INFO : Epoch 2002 | loss: 0.0310334 | val_loss: 0.0312956 | Time: 2147.48 ms [2022-01-06 01:06:06 main:574] : INFO : Epoch 2003 | loss: 0.0310365 | val_loss: 0.0313083 | Time: 2149.31 ms [2022-01-06 01:06:08 main:574] : INFO : Epoch 2004 | loss: 0.0310197 | val_loss: 0.031322 | Time: 2157.34 ms [2022-01-06 01:06:10 main:574] : INFO : Epoch 2005 | loss: 0.0310198 | val_loss: 0.0313242 | Time: 2162.96 ms [2022-01-06 01:06:12 main:574] : INFO : Epoch 2006 | loss: 0.0310199 | val_loss: 0.0313085 | Time: 2164.65 ms [2022-01-06 01:06:14 main:574] : INFO : Epoch 2007 | loss: 0.0310236 | val_loss: 0.0312865 | Time: 2152.62 ms [2022-01-06 01:06:16 main:574] : INFO : Epoch 2008 | loss: 0.0310228 | val_loss: 0.0313155 | Time: 2023.72 ms [2022-01-06 01:06:18 main:574] : INFO : Epoch 2009 | loss: 0.0310198 | val_loss: 0.0313018 | Time: 1984.22 ms [2022-01-06 01:06:20 main:574] : INFO : Epoch 2010 | loss: 0.0310108 | val_loss: 0.0313279 | Time: 1993.5 ms [2022-01-06 01:06:22 main:574] : INFO : Epoch 2011 | loss: 0.0310172 | val_loss: 0.0312951 | Time: 1976.83 ms [2022-01-06 01:06:24 main:574] : INFO : Epoch 2012 | loss: 0.0310186 | val_loss: 0.0313046 | Time: 1978.62 ms [2022-01-06 01:06:26 main:574] : INFO : Epoch 2013 | loss: 0.0310125 | val_loss: 0.0312951 | Time: 1994.71 ms [2022-01-06 01:06:28 main:574] : INFO : Epoch 2014 | loss: 0.0310198 | val_loss: 0.0313132 | Time: 2021.97 ms [2022-01-06 01:06:31 main:574] : INFO : Epoch 2015 | loss: 0.0310113 | val_loss: 0.0313068 | Time: 2010.04 ms [2022-01-06 01:06:33 main:574] : INFO : Epoch 2016 | loss: 0.0310101 | val_loss: 0.0313142 | Time: 1972.71 ms [2022-01-06 01:06:34 main:574] : INFO : Epoch 2017 | loss: 0.0310157 | val_loss: 0.0313019 | Time: 1974.75 ms [2022-01-06 01:06:36 main:574] : INFO : Epoch 2018 | loss: 0.0310139 | val_loss: 0.0313242 | Time: 1969.35 ms [2022-01-06 01:06:38 main:574] : INFO : Epoch 2019 | loss: 0.0310107 | val_loss: 0.0313261 | Time: 2011.19 ms [2022-01-06 01:06:40 main:574] : INFO : Epoch 2020 | loss: 0.0310218 | val_loss: 0.0312945 | Time: 1974.32 ms [2022-01-06 01:06:42 main:574] : INFO : Epoch 2021 | loss: 0.0310191 | val_loss: 0.0313204 | Time: 1988.95 ms [2022-01-06 01:06:44 main:574] : INFO : Epoch 2022 | loss: 0.0310239 | val_loss: 0.0313142 | Time: 2000.92 ms [2022-01-06 01:06:46 main:574] : INFO : Epoch 2023 | loss: 0.031015 | val_loss: 0.0313048 | Time: 1984.24 ms [2022-01-06 01:06:48 main:574] : INFO : Epoch 2024 | loss: 0.0310159 | val_loss: 0.0313145 | Time: 1982.68 ms [2022-01-06 01:06:50 main:574] : INFO : Epoch 2025 | loss: 0.0310151 | val_loss: 0.0313281 | Time: 1992.61 ms [2022-01-06 01:06:52 main:574] : INFO : Epoch 2026 | loss: 0.0310113 | val_loss: 0.0313067 | Time: 1993.9 ms [2022-01-06 01:06:54 main:574] : INFO : Epoch 2027 | loss: 0.0310375 | val_loss: 0.0312725 | Time: 1997.64 ms [2022-01-06 01:06:56 main:574] : INFO : Epoch 2028 | loss: 0.0310296 | val_loss: 0.0312931 | Time: 1983.66 ms [2022-01-06 01:06:58 main:574] : INFO : Epoch 2029 | loss: 0.0310154 | val_loss: 0.0313345 | Time: 1980.36 ms [2022-01-06 01:07:00 main:574] : INFO : Epoch 2030 | loss: 0.0310147 | val_loss: 0.0312876 | Time: 1972.54 ms [2022-01-06 01:07:02 main:574] : INFO : Epoch 2031 | loss: 0.0310225 | val_loss: 0.0313073 | Time: 1985.44 ms [2022-01-06 01:07:04 main:574] : INFO : Epoch 2032 | loss: 0.0310278 | val_loss: 0.031322 | Time: 1978.51 ms [2022-01-06 01:07:07 main:574] : INFO : Epoch 2033 | loss: 0.0310262 | val_loss: 0.0313323 | Time: 1989.96 ms [2022-01-06 01:07:09 main:574] : INFO : Epoch 2034 | loss: 0.0310101 | val_loss: 0.0313059 | Time: 2003.72 ms [2022-01-06 01:07:11 main:574] : INFO : Epoch 2035 | loss: 0.0310125 | val_loss: 0.0312832 | Time: 1974.75 ms [2022-01-06 01:07:13 main:574] : INFO : Epoch 2036 | loss: 0.0310162 | val_loss: 0.0313039 | Time: 1991.85 ms [2022-01-06 01:07:15 main:574] : INFO : Epoch 2037 | loss: 0.0310181 | val_loss: 0.0312807 | Time: 1994.59 ms [2022-01-06 01:07:17 main:574] : INFO : Epoch 2038 | loss: 0.031022 | val_loss: 0.0313195 | Time: 2005.42 ms [2022-01-06 01:07:19 main:574] : INFO : Epoch 2039 | loss: 0.0310192 | val_loss: 0.0313144 | Time: 1985.99 ms [2022-01-06 01:07:21 main:574] : INFO : Epoch 2040 | loss: 0.0310135 | val_loss: 0.0313019 | Time: 1976.04 ms [2022-01-06 01:07:23 main:574] : INFO : Epoch 2041 | loss: 0.0310187 | val_loss: 0.0312988 | Time: 1994.38 ms [2022-01-06 01:07:25 main:574] : INFO : Epoch 2042 | loss: 0.0310237 | val_loss: 0.0313034 | Time: 2002.93 ms [2022-01-06 01:07:27 main:574] : INFO : Epoch 2043 | loss: 0.0310273 | val_loss: 0.0313084 | Time: 1982.69 ms [2022-01-06 01:07:29 main:574] : INFO : Epoch 2044 | loss: 0.0310196 | val_loss: 0.0313448 | Time: 1980.45 ms [2022-01-06 01:07:31 main:574] : INFO : Epoch 2045 | loss: 0.0310142 | val_loss: 0.031303 | Time: 1993.55 ms [2022-01-06 01:07:33 main:574] : INFO : Epoch 2046 | loss: 0.0310172 | val_loss: 0.0312937 | Time: 1979.21 ms [2022-01-06 01:07:35 main:574] : INFO : Epoch 2047 | loss: 0.0310115 | val_loss: 0.0313037 | Time: 1988.31 ms [2022-01-06 01:07:37 main:574] : INFO : Epoch 2048 | loss: 0.0310109 | val_loss: 0.0313245 | Time: 1984.54 ms [2022-01-06 01:07:37 main:597] : INFO : Saving trained model to model-final.pt, val_loss 0.0313245 [2022-01-06 01:07:37 main:603] : INFO : Saving end state to config to file [2022-01-06 01:07:37 main:608] : INFO : Success, exiting.. 01:07:37 (19728): called boinc_finish(0) </stderr_txt> ]]>
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A project of the Cognition, Robotics, and Learning (CORAL) Lab at the University of Maryland, Baltimore County (UMBC)