Task 10026113
| Name | ParityModified-1639962085-17380-0_0 |
| Workunit | 7404747 |
| Created | 20 Dec 2021, 1:01:26 UTC |
| Sent | 4 Jan 2022, 14:47:15 UTC |
| Report deadline | 12 Jan 2022, 14:47:15 UTC |
| Received | 20 Jan 2022, 1:48:01 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 14113 |
| Run time | 3 hours 38 min 6 sec |
| CPU time | 3 hours 36 min 52 sec |
| Validate state | Task was reported too late to validate |
| Credit | 0.00 |
| Device peak FLOPS | 8,299.00 GFLOPS |
| Application version | Machine Learning Dataset Generator (GPU) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 2.70 GB |
| Peak swap size | 4.44 GB |
| Peak disk usage | 1.54 GB |
Stderr output
<core_client_version>7.16.20</core_client_version> <![CDATA[ <stderr_txt> nto_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-01-18 19:06:58 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce RTX 3070 Laptop GPU) [2022-01-18 19:33:29 main:435] : INFO : Set logging level to 1 [2022-01-18 19:33:29 main:441] : INFO : Running in BOINC Client mode [2022-01-18 19:33:29 main:444] : INFO : Resolving all filenames [2022-01-18 19:33:29 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-01-18 19:33:29 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-01-18 19:33:29 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-01-18 19:33:29 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2022-01-18 19:33:29 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-01-18 19:33:29 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-01-18 19:33:29 main:474] : INFO : Configuration: [2022-01-18 19:33:29 main:475] : INFO : Model type: GRU [2022-01-18 19:33:29 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-01-18 19:33:29 main:477] : INFO : Max Epochs: 2048 [2022-01-18 19:33:29 main:478] : INFO : Batch Size: 128 [2022-01-18 19:33:29 main:479] : INFO : Learning Rate: 0.01 [2022-01-18 19:33:29 main:480] : INFO : Patience: 10 [2022-01-18 19:33:29 main:481] : INFO : Hidden Width: 12 [2022-01-18 19:33:29 main:482] : INFO : # Recurrent Layers: 4 [2022-01-18 19:33:29 main:483] : INFO : # Backend Layers: 4 [2022-01-18 19:33:29 main:484] : INFO : # Threads: 1 [2022-01-18 19:33:29 main:486] : INFO : Preparing Dataset [2022-01-18 19:33:29 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-01-18 19:33:29 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce RTX 3070 Laptop GPU) [2022-01-18 19:44:30 main:435] : INFO : Set logging level to 1 [2022-01-18 19:44:30 main:441] : INFO : Running in BOINC Client mode [2022-01-18 19:44:30 main:444] : INFO : Resolving all filenames [2022-01-18 19:44:30 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-01-18 19:44:30 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-01-18 19:44:30 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-01-18 19:44:30 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2022-01-18 19:44:30 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-01-18 19:44:30 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-01-18 19:44:30 main:474] : INFO : Configuration: [2022-01-18 19:44:30 main:475] : INFO : Model type: GRU [2022-01-18 19:44:30 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-01-18 19:44:30 main:477] : INFO : Max Epochs: 2048 [2022-01-18 19:44:30 main:478] : INFO : Batch Size: 128 [2022-01-18 19:44:30 main:479] : INFO : Learning Rate: 0.01 [2022-01-18 19:44:30 main:480] : INFO : Patience: 10 [2022-01-18 19:44:30 main:481] : INFO : Hidden Width: 12 [2022-01-18 19:44:30 main:482] : INFO : # Recurrent Layers: 4 [2022-01-18 19:44:30 main:483] : INFO : # Backend Layers: 4 [2022-01-18 19:44:30 main:484] : INFO : # Threads: 1 [2022-01-18 19:44:30 main:486] : INFO : Preparing Dataset [2022-01-18 19:44:30 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-01-18 19:44:30 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce RTX 3070 Laptop GPU) [2022-01-18 19:55:11 main:435] : INFO : Set logging level to 1 [2022-01-18 19:55:11 main:441] : INFO : Running in BOINC Client mode [2022-01-18 19:55:11 main:444] : INFO : Resolving all filenames [2022-01-18 19:55:11 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-01-18 19:55:11 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-01-18 19:55:11 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-01-18 19:55:11 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2022-01-18 19:55:11 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-01-18 19:55:11 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-01-18 19:55:11 main:474] : INFO : Configuration: [2022-01-18 19:55:11 main:475] : INFO : Model type: GRU [2022-01-18 19:55:11 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-01-18 19:55:11 main:477] : INFO : Max Epochs: 2048 [2022-01-18 19:55:11 main:478] : INFO : Batch Size: 128 [2022-01-18 19:55:11 main:479] : INFO : Learning Rate: 0.01 [2022-01-18 19:55:11 main:480] : INFO : Patience: 10 [2022-01-18 19:55:11 main:481] : INFO : Hidden Width: 12 [2022-01-18 19:55:11 main:482] : INFO : # Recurrent Layers: 4 [2022-01-18 19:55:11 main:483] : INFO : # Backend Layers: 4 [2022-01-18 19:55:11 main:484] : INFO : # Threads: 1 [2022-01-18 19:55:11 main:486] : INFO : Preparing Dataset [2022-01-18 19:55:11 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-01-18 19:55:11 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce RTX 3070 Laptop GPU) [2022-01-19 16:12:46 main:435] : INFO : Set logging level to 1 [2022-01-19 16:12:46 main:441] : INFO : Running in BOINC Client mode [2022-01-19 16:12:46 main:444] : INFO : Resolving all filenames [2022-01-19 16:12:46 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-01-19 16:12:46 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-01-19 16:12:46 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-01-19 16:12:46 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2022-01-19 16:12:46 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-01-19 16:12:46 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-01-19 16:12:46 main:474] : INFO : Configuration: [2022-01-19 16:12:46 main:475] : INFO : Model type: GRU [2022-01-19 16:12:46 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-01-19 16:12:46 main:477] : INFO : Max Epochs: 2048 [2022-01-19 16:12:46 main:478] : INFO : Batch Size: 128 [2022-01-19 16:12:46 main:479] : INFO : Learning Rate: 0.01 [2022-01-19 16:12:46 main:480] : INFO : Patience: 10 [2022-01-19 16:12:46 main:481] : INFO : Hidden Width: 12 [2022-01-19 16:12:46 main:482] : INFO : # Recurrent Layers: 4 [2022-01-19 16:12:46 main:483] : INFO : # Backend Layers: 4 [2022-01-19 16:12:46 main:484] : INFO : # Threads: 1 [2022-01-19 16:12:46 main:486] : INFO : Preparing Dataset [2022-01-19 16:12:46 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-01-19 16:12:46 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce RTX 3070 Laptop GPU) [2022-01-19 16:42:22 main:435] : INFO : Set logging level to 1 [2022-01-19 16:42:22 main:441] : INFO : Running in BOINC Client mode [2022-01-19 16:42:22 main:444] : INFO : Resolving all filenames [2022-01-19 16:42:22 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-01-19 16:42:22 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-01-19 16:42:22 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-01-19 16:42:22 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2022-01-19 16:42:22 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-01-19 16:42:22 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-01-19 16:42:23 main:474] : INFO : Configuration: [2022-01-19 16:42:23 main:475] : INFO : Model type: GRU [2022-01-19 16:42:23 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-01-19 16:42:23 main:477] : INFO : Max Epochs: 2048 [2022-01-19 16:42:23 main:478] : INFO : Batch Size: 128 [2022-01-19 16:42:23 main:479] : INFO : Learning Rate: 0.01 [2022-01-19 16:42:23 main:480] : INFO : Patience: 10 [2022-01-19 16:42:23 main:481] : INFO : Hidden Width: 12 [2022-01-19 16:42:23 main:482] : INFO : # Recurrent Layers: 4 [2022-01-19 16:42:23 main:483] : INFO : # Backend Layers: 4 [2022-01-19 16:42:23 main:484] : INFO : # Threads: 1 [2022-01-19 16:42:23 main:486] : INFO : Preparing Dataset [2022-01-19 16:42:23 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-01-19 16:42:23 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory [2022-01-19 17:08:41 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2022-01-19 17:08:41 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory [2022-01-19 17:08:42 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory [2022-01-19 17:08:42 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2022-01-19 17:08:42 main:494] : INFO : Creating Model [2022-01-19 17:08:42 main:507] : INFO : Preparing config file [2022-01-19 17:08:42 main:511] : INFO : Found checkpoint, attempting to load... [2022-01-19 17:08:42 main:512] : INFO : Loading config [2022-01-19 17:08:42 main:514] : INFO : Loading state [2022-01-19 17:32:16 main:559] : INFO : Loading DataLoader into Memory [2022-01-19 17:32:16 main:562] : INFO : Starting Training [2022-01-19 17:33:54 main:574] : INFO : Epoch 1637 | loss: 0.0311137 | val_loss: 0.0312446 | Time: 97975.9 ms [2022-01-19 17:33:56 main:574] : INFO : Epoch 1638 | loss: 0.0310317 | val_loss: 0.0313204 | Time: 1781.51 ms [2022-01-19 17:33:58 main:574] : INFO : Epoch 1639 | loss: 0.0310079 | val_loss: 0.0312946 | Time: 1852.79 ms [2022-01-19 17:33:59 main:574] : INFO : Epoch 1640 | loss: 0.0310032 | val_loss: 0.0312874 | Time: 1800.32 ms [2022-01-19 17:34:01 main:574] : INFO : Epoch 1641 | loss: 0.0309984 | val_loss: 0.031303 | Time: 1780.85 ms [2022-01-19 17:34:03 main:574] : INFO : Epoch 1642 | loss: 0.031002 | val_loss: 0.0313195 | Time: 1803.51 ms [2022-01-19 17:34:05 main:574] : INFO : Epoch 1643 | loss: 0.0309957 | val_loss: 0.03133 | Time: 1824.45 ms [2022-01-19 17:34:07 main:574] : INFO : Epoch 1644 | loss: 0.0310041 | val_loss: 0.0313091 | Time: 1828.21 ms [2022-01-19 17:34:09 main:574] : INFO : Epoch 1645 | loss: 0.0310023 | val_loss: 0.0312675 | Time: 1838.48 ms [2022-01-19 17:34:10 main:574] : INFO : Epoch 1646 | loss: 0.0310043 | val_loss: 0.0313102 | Time: 1793.98 ms [2022-01-19 17:34:12 main:574] : INFO : Epoch 1647 | loss: 0.0310051 | val_loss: 0.0313079 | Time: 1871.92 ms [2022-01-19 17:34:14 main:574] : INFO : Epoch 1648 | loss: 0.0310132 | val_loss: 0.0312875 | Time: 1991.27 ms [2022-01-19 17:34:16 main:574] : INFO : Epoch 1649 | loss: 0.0310095 | val_loss: 0.0312829 | Time: 1964.69 ms [2022-01-19 17:34:18 main:574] : INFO : Epoch 1650 | loss: 0.030997 | val_loss: 0.031308 | Time: 1982.09 ms [2022-01-19 17:34:20 main:574] : INFO : Epoch 1651 | loss: 0.0310104 | val_loss: 0.0312783 | Time: 2015.34 ms [2022-01-19 17:34:22 main:574] : INFO : Epoch 1652 | loss: 0.0310414 | val_loss: 0.0312595 | Time: 1884.3 ms [2022-01-19 17:34:24 main:574] : INFO : Epoch 1653 | loss: 0.0310214 | val_loss: 0.0313117 | Time: 2042.94 ms [2022-01-19 17:34:26 main:574] : INFO : Epoch 1654 | loss: 0.0310036 | val_loss: 0.0313316 | Time: 2011.88 ms [2022-01-19 17:34:28 main:574] : INFO : Epoch 1655 | loss: 0.0309993 | val_loss: 0.0313027 | Time: 1882.39 ms [2022-01-19 17:34:30 main:574] : INFO : Epoch 1656 | loss: 0.0309939 | val_loss: 0.0313196 | Time: 1972.92 ms [2022-01-19 17:34:32 main:574] : INFO : Epoch 1657 | loss: 0.0310045 | val_loss: 0.0312879 | Time: 2049.21 ms [2022-01-19 17:34:34 main:574] : INFO : Epoch 1658 | loss: 0.031002 | val_loss: 0.0312718 | Time: 2020.1 ms [2022-01-19 17:34:36 main:574] : INFO : Epoch 1659 | loss: 0.03101 | val_loss: 0.0313356 | Time: 2057.6 ms [2022-01-19 17:34:38 main:574] : INFO : Epoch 1660 | loss: 0.0309953 | val_loss: 0.0313034 | Time: 1910.84 ms [2022-01-19 17:34:40 main:574] : INFO : Epoch 1661 | loss: 0.030993 | val_loss: 0.0312769 | Time: 1991.58 ms [2022-01-19 17:34:42 main:574] : INFO : Epoch 1662 | loss: 0.031004 | val_loss: 0.0313365 | Time: 2027.1 ms [2022-01-19 17:34:44 main:574] : INFO : Epoch 1663 | loss: 0.0309926 | val_loss: 0.0313252 | Time: 1995.66 ms [2022-01-19 17:34:46 main:574] : INFO : Epoch 1664 | loss: 0.0309921 | val_loss: 0.03133 | Time: 1999.36 ms [2022-01-19 17:34:48 main:574] : INFO : Epoch 1665 | loss: 0.0309908 | val_loss: 0.03133 | Time: 2069.76 ms [2022-01-19 17:34:50 main:574] : INFO : Epoch 1666 | loss: 0.0309915 | val_loss: 0.0313332 | Time: 1946.8 ms [2022-01-19 17:34:52 main:574] : INFO : Epoch 1667 | loss: 0.0309948 | val_loss: 0.0312957 | Time: 2088.52 ms [2022-01-19 17:34:54 main:574] : INFO : Epoch 1668 | loss: 0.0309974 | val_loss: 0.0312796 | Time: 2050.52 ms [2022-01-19 17:34:56 main:574] : INFO : Epoch 1669 | loss: 0.0310062 | val_loss: 0.0313215 | Time: 2025.03 ms [2022-01-19 17:34:58 main:574] : INFO : Epoch 1670 | loss: 0.0309987 | val_loss: 0.0313261 | Time: 2059.81 ms [2022-01-19 17:35:00 main:574] : INFO : Epoch 1671 | loss: 0.0309877 | val_loss: 0.0313253 | Time: 2038.4 ms [2022-01-19 17:35:02 main:574] : INFO : Epoch 1672 | loss: 0.0309923 | val_loss: 0.0313163 | Time: 1997.71 ms [2022-01-19 17:35:04 main:574] : INFO : Epoch 1673 | loss: 0.0309968 | val_loss: 0.0313126 | Time: 2032.94 ms [2022-01-19 17:35:06 main:574] : INFO : Epoch 1674 | loss: 0.0309954 | val_loss: 0.0312816 | Time: 1962.17 ms [2022-01-19 17:35:08 main:574] : INFO : Epoch 1675 | loss: 0.0310023 | val_loss: 0.0313198 | Time: 2037.27 ms [2022-01-19 17:35:11 main:574] : INFO : Epoch 1676 | loss: 0.031012 | val_loss: 0.0313061 | Time: 2079.28 ms [2022-01-19 17:35:12 main:574] : INFO : Epoch 1677 | loss: 0.0309998 | val_loss: 0.0313396 | Time: 1887.13 ms [2022-01-19 17:35:14 main:574] : INFO : Epoch 1678 | loss: 0.0309929 | val_loss: 0.0313333 | Time: 2044.95 ms [2022-01-19 17:35:17 main:574] : INFO : Epoch 1679 | loss: 0.0309991 | val_loss: 0.0313077 | Time: 2109.95 ms [2022-01-19 17:35:19 main:574] : INFO : Epoch 1680 | loss: 0.0310048 | val_loss: 0.0313073 | Time: 1936.72 ms [2022-01-19 17:35:21 main:574] : INFO : Epoch 1681 | loss: 0.0309976 | val_loss: 0.0313404 | Time: 2084.94 ms [2022-01-19 17:35:23 main:574] : INFO : Epoch 1682 | loss: 0.0309958 | val_loss: 0.0312858 | Time: 2024.18 ms [2022-01-19 17:35:25 main:574] : INFO : Epoch 1683 | loss: 0.0309983 | val_loss: 0.0313139 | Time: 1957.03 ms [2022-01-19 17:35:27 main:574] : INFO : Epoch 1684 | loss: 0.0309933 | val_loss: 0.0313347 | Time: 2063.6 ms [2022-01-19 17:35:29 main:574] : INFO : Epoch 1685 | loss: 0.0309968 | val_loss: 0.0313051 | Time: 1970.73 ms [2022-01-19 17:35:31 main:574] : INFO : Epoch 1686 | loss: 0.0309962 | val_loss: 0.0313229 | Time: 2047.59 ms [2022-01-19 17:35:33 main:574] : INFO : Epoch 1687 | loss: 0.0309986 | val_loss: 0.0312876 | Time: 2082.66 ms [2022-01-19 17:35:35 main:574] : INFO : Epoch 1688 | loss: 0.031 | val_loss: 0.0313233 | Time: 1967.05 ms [2022-01-19 17:35:37 main:574] : INFO : Epoch 1689 | loss: 0.0309987 | val_loss: 0.031321 | Time: 2023.01 ms [2022-01-19 17:35:39 main:574] : INFO : Epoch 1690 | loss: 0.0310002 | val_loss: 0.0312748 | Time: 2018.02 ms [2022-01-19 17:35:41 main:574] : INFO : Epoch 1691 | loss: 0.0310007 | val_loss: 0.0313263 | Time: 1957.76 ms [2022-01-19 17:35:43 main:574] : INFO : Epoch 1692 | loss: 0.0309929 | val_loss: 0.0312955 | Time: 2055.13 ms [2022-01-19 17:35:45 main:574] : INFO : Epoch 1693 | loss: 0.0309995 | val_loss: 0.0312904 | Time: 2065.26 ms [2022-01-19 17:35:47 main:574] : INFO : Epoch 1694 | loss: 0.0309957 | val_loss: 0.0313065 | Time: 1963.5 ms [2022-01-19 17:35:49 main:574] : INFO : Epoch 1695 | loss: 0.030996 | val_loss: 0.0312983 | Time: 2044.1 ms [2022-01-19 17:35:51 main:574] : INFO : Epoch 1696 | loss: 0.0309928 | val_loss: 0.0312949 | Time: 2015.75 ms [2022-01-19 17:35:53 main:574] : INFO : Epoch 1697 | loss: 0.0309953 | val_loss: 0.0312982 | Time: 1982.31 ms [2022-01-19 17:35:55 main:574] : INFO : Epoch 1698 | loss: 0.0310054 | val_loss: 0.0313214 | Time: 2080.15 ms [2022-01-19 17:35:57 main:574] : INFO : Epoch 1699 | loss: 0.0309967 | val_loss: 0.03129 | Time: 2017.74 ms [2022-01-19 17:35:59 main:574] : INFO : Epoch 1700 | loss: 0.0309978 | val_loss: 0.031271 | Time: 1964.19 ms [2022-01-19 17:36:01 main:574] : INFO : Epoch 1701 | loss: 0.0310014 | val_loss: 0.0312939 | Time: 2064.55 ms [2022-01-19 17:36:03 main:574] : INFO : Epoch 1702 | loss: 0.0309905 | val_loss: 0.0313305 | Time: 1955 ms [2022-01-19 17:36:05 main:574] : INFO : Epoch 1703 | loss: 0.0309885 | val_loss: 0.0313021 | Time: 1981.2 ms [2022-01-19 17:36:07 main:574] : INFO : Epoch 1704 | loss: 0.0310019 | val_loss: 0.0312938 | Time: 2038.76 ms [2022-01-19 17:36:09 main:574] : INFO : Epoch 1705 | loss: 0.031016 | val_loss: 0.0312766 | Time: 1997.35 ms [2022-01-19 17:36:11 main:574] : INFO : Epoch 1706 | loss: 0.0310059 | val_loss: 0.0313143 | Time: 2012.81 ms [2022-01-19 17:36:13 main:574] : INFO : Epoch 1707 | loss: 0.0309939 | val_loss: 0.0313142 | Time: 2077.46 ms [2022-01-19 17:36:15 main:574] : INFO : Epoch 1708 | loss: 0.0309965 | val_loss: 0.0313059 | Time: 2039.08 ms [2022-01-19 17:36:17 main:574] : INFO : Epoch 1709 | loss: 0.0310024 | val_loss: 0.0312987 | Time: 2048.87 ms [2022-01-19 17:36:19 main:574] : INFO : Epoch 1710 | loss: 0.0309972 | val_loss: 0.0313133 | Time: 2040.6 ms [2022-01-19 17:36:21 main:574] : INFO : Epoch 1711 | loss: 0.0309883 | val_loss: 0.0313356 | Time: 1961.41 ms [2022-01-19 17:36:23 main:574] : INFO : Epoch 1712 | loss: 0.0309931 | val_loss: 0.0313433 | Time: 2156.9 ms [2022-01-19 17:36:25 main:574] : INFO : Epoch 1713 | loss: 0.0309948 | val_loss: 0.0313122 | Time: 2076.44 ms [2022-01-19 17:36:27 main:574] : INFO : Epoch 1714 | loss: 0.0309947 | val_loss: 0.0313087 | Time: 1980.69 ms [2022-01-19 17:36:30 main:574] : INFO : Epoch 1715 | loss: 0.0309955 | val_loss: 0.0313077 | Time: 2037.87 ms [2022-01-19 17:36:32 main:574] : INFO : Epoch 1716 | loss: 0.0309913 | val_loss: 0.0312937 | Time: 2018.57 ms [2022-01-19 17:36:34 main:574] : INFO : Epoch 1717 | loss: 0.0309929 | val_loss: 0.0312824 | Time: 2034.99 ms [2022-01-19 17:36:36 main:574] : INFO : Epoch 1718 | loss: 0.0309958 | val_loss: 0.0313058 | Time: 2115.48 ms [2022-01-19 17:36:38 main:574] : INFO : Epoch 1719 | loss: 0.0309957 | val_loss: 0.0313494 | Time: 1990.49 ms [2022-01-19 17:36:40 main:574] : INFO : Epoch 1720 | loss: 0.0309966 | val_loss: 0.0313213 | Time: 2021.39 ms [2022-01-19 17:36:42 main:574] : INFO : Epoch 1721 | loss: 0.0310031 | val_loss: 0.0312703 | Time: 2016.74 ms [2022-01-19 17:36:44 main:574] : INFO : Epoch 1722 | loss: 0.0310045 | val_loss: 0.0312738 | Time: 1994.94 ms [2022-01-19 17:36:46 main:574] : INFO : Epoch 1723 | loss: 0.0309965 | val_loss: 0.0313199 | Time: 1987.18 ms [2022-01-19 17:36:48 main:574] : INFO : Epoch 1724 | loss: 0.0309903 | val_loss: 0.0313165 | Time: 2030.86 ms [2022-01-19 17:36:50 main:574] : INFO : Epoch 1725 | loss: 0.0309853 | val_loss: 0.0313196 | Time: 1960.3 ms [2022-01-19 17:36:52 main:574] : INFO : Epoch 1726 | loss: 0.0309877 | val_loss: 0.0312931 | Time: 2045.54 ms [2022-01-19 17:36:54 main:574] : INFO : Epoch 1727 | loss: 0.0309994 | val_loss: 0.0313374 | Time: 2013.08 ms [2022-01-19 17:36:56 main:574] : INFO : Epoch 1728 | loss: 0.0310239 | val_loss: 0.0312696 | Time: 2003.79 ms [2022-01-19 17:36:58 main:574] : INFO : Epoch 1729 | loss: 0.0310102 | val_loss: 0.031306 | Time: 2054.1 ms [2022-01-19 17:37:00 main:574] : INFO : Epoch 1730 | loss: 0.0310101 | val_loss: 0.0312988 | Time: 2053.63 ms [2022-01-19 17:37:02 main:574] : INFO : Epoch 1731 | loss: 0.0310012 | val_loss: 0.0313167 | Time: 2017.95 ms [2022-01-19 17:37:04 main:574] : INFO : Epoch 1732 | loss: 0.0309975 | val_loss: 0.0313048 | Time: 2123.62 ms [2022-01-19 17:37:06 main:574] : INFO : Epoch 1733 | loss: 0.0310167 | val_loss: 0.0313416 | Time: 2014.92 ms [2022-01-19 17:37:08 main:574] : INFO : Epoch 1734 | loss: 0.0309988 | val_loss: 0.0313003 | Time: 1951.04 ms [2022-01-19 17:37:10 main:574] : INFO : Epoch 1735 | loss: 0.0309975 | val_loss: 0.0313173 | Time: 2062.79 ms [2022-01-19 17:37:12 main:574] : INFO : Epoch 1736 | loss: 0.0309948 | val_loss: 0.0313233 | Time: 2033.61 ms [2022-01-19 17:37:14 main:574] : INFO : Epoch 1737 | loss: 0.0309996 | val_loss: 0.031323 | Time: 2040.09 ms [2022-01-19 17:37:16 main:574] : INFO : Epoch 1738 | loss: 0.0309974 | val_loss: 0.0312826 | Time: 2021.7 ms [2022-01-19 17:37:18 main:574] : INFO : Epoch 1739 | loss: 0.0309963 | val_loss: 0.0313412 | Time: 1975.41 ms [2022-01-19 17:37:20 main:574] : INFO : Epoch 1740 | loss: 0.0309956 | val_loss: 0.0312982 | Time: 2028.37 ms [2022-01-19 17:37:22 main:574] : INFO : Epoch 1741 | loss: 0.030991 | val_loss: 0.0313032 | Time: 2102.2 ms [2022-01-19 17:37:24 main:574] : INFO : Epoch 1742 | loss: 0.0309896 | val_loss: 0.0313469 | Time: 1997.56 ms [2022-01-19 17:37:26 main:574] : INFO : Epoch 1743 | loss: 0.0309881 | val_loss: 0.0312953 | Time: 2074.61 ms [2022-01-19 17:37:28 main:574] : INFO : Epoch 1744 | loss: 0.0309981 | val_loss: 0.0313143 | Time: 2048.58 ms [2022-01-19 17:37:30 main:574] : INFO : Epoch 1745 | loss: 0.0309988 | val_loss: 0.0312943 | Time: 2003.36 ms [2022-01-19 17:37:33 main:574] : INFO : Epoch 1746 | loss: 0.0309948 | val_loss: 0.0313546 | Time: 2153.47 ms [2022-01-19 17:37:35 main:574] : INFO : Epoch 1747 | loss: 0.0309915 | val_loss: 0.0313304 | Time: 1966.44 ms [2022-01-19 17:37:37 main:574] : INFO : Epoch 1748 | loss: 0.0310025 | val_loss: 0.0313216 | Time: 1977.63 ms [2022-01-19 17:37:39 main:574] : INFO : Epoch 1749 | loss: 0.0309991 | val_loss: 0.0313101 | Time: 2127.9 ms [2022-01-19 17:37:41 main:574] : INFO : Epoch 1750 | loss: 0.0309951 | val_loss: 0.0313142 | Time: 2176.28 ms [2022-01-19 17:37:43 main:574] : INFO : Epoch 1751 | loss: 0.0309963 | val_loss: 0.0313363 | Time: 2139.92 ms [2022-01-19 17:37:45 main:574] : INFO : Epoch 1752 | loss: 0.0309971 | val_loss: 0.0313332 | Time: 2035.95 ms [2022-01-19 17:37:47 main:574] : INFO : Epoch 1753 | loss: 0.0309919 | val_loss: 0.0313174 | Time: 2026.99 ms [2022-01-19 17:37:49 main:574] : INFO : Epoch 1754 | loss: 0.0309948 | val_loss: 0.0313264 | Time: 2090.96 ms [2022-01-19 17:37:51 main:574] : INFO : Epoch 1755 | loss: 0.0310012 | val_loss: 0.031318 | Time: 2100.74 ms [2022-01-19 17:37:53 main:574] : INFO : Epoch 1756 | loss: 0.0309903 | val_loss: 0.0313223 | Time: 1956.29 ms [2022-01-19 17:37:55 main:574] : INFO : Epoch 1757 | loss: 0.0309941 | val_loss: 0.0313037 | Time: 2086.72 ms [2022-01-19 17:37:57 main:574] : INFO : Epoch 1758 | loss: 0.0310045 | val_loss: 0.0313597 | Time: 2030.76 ms [2022-01-19 17:37:59 main:574] : INFO : Epoch 1759 | loss: 0.0310065 | val_loss: 0.0313083 | Time: 1968.23 ms [2022-01-19 17:38:02 main:574] : INFO : Epoch 1760 | loss: 0.0310021 | val_loss: 0.0313043 | Time: 2148.98 ms [2022-01-19 17:38:04 main:574] : INFO : Epoch 1761 | loss: 0.0309969 | val_loss: 0.0313054 | Time: 2029.43 ms [2022-01-19 17:38:06 main:574] : INFO : Epoch 1762 | loss: 0.0309903 | val_loss: 0.0312912 | Time: 2033.63 ms [2022-01-19 17:38:08 main:574] : INFO : Epoch 1763 | loss: 0.0309894 | val_loss: 0.0312837 | Time: 2048.16 ms [2022-01-19 17:38:10 main:574] : INFO : Epoch 1764 | loss: 0.0309936 | val_loss: 0.0313127 | Time: 1995.18 ms [2022-01-19 17:38:12 main:574] : INFO : Epoch 1765 | loss: 0.0309976 | val_loss: 0.0312975 | Time: 1991.41 ms [2022-01-19 17:38:14 main:574] : INFO : Epoch 1766 | loss: 0.0310113 | val_loss: 0.0312945 | Time: 2091.94 ms [2022-01-19 17:38:16 main:574] : INFO : Epoch 1767 | loss: 0.0310042 | val_loss: 0.0313271 | Time: 2024.74 ms [2022-01-19 17:38:18 main:574] : INFO : Epoch 1768 | loss: 0.030999 | val_loss: 0.0313345 | Time: 2028.95 ms [2022-01-19 17:38:20 main:574] : INFO : Epoch 1769 | loss: 0.0309924 | val_loss: 0.031317 | Time: 2057.55 ms [2022-01-19 17:38:22 main:574] : INFO : Epoch 1770 | loss: 0.0309958 | val_loss: 0.0313035 | Time: 2098.52 ms [2022-01-19 17:38:24 main:574] : INFO : Epoch 1771 | loss: 0.030991 | val_loss: 0.0313731 | Time: 2115.1 ms [2022-01-19 17:38:26 main:574] : INFO : Epoch 1772 | loss: 0.0310284 | val_loss: 0.0312696 | Time: 2035.38 ms [2022-01-19 17:38:28 main:574] : INFO : Epoch 1773 | loss: 0.0310601 | val_loss: 0.0313132 | Time: 2016.58 ms [2022-01-19 17:38:30 main:574] : INFO : Epoch 1774 | loss: 0.0310242 | val_loss: 0.0313187 | Time: 2140.35 ms [2022-01-19 17:38:32 main:574] : INFO : Epoch 1775 | loss: 0.0309982 | val_loss: 0.0313165 | Time: 1993.67 ms [2022-01-19 17:38:34 main:574] : INFO : Epoch 1776 | loss: 0.0309948 | val_loss: 0.0313022 | Time: 2011.28 ms [2022-01-19 17:38:36 main:574] : INFO : Epoch 1777 | loss: 0.0309908 | val_loss: 0.0313174 | Time: 2108.79 ms [2022-01-19 17:38:38 main:574] : INFO : Epoch 1778 | loss: 0.0309912 | val_loss: 0.0313317 | Time: 2039.88 ms [2022-01-19 17:38:41 main:574] : INFO : Epoch 1779 | loss: 0.0309876 | val_loss: 0.0313219 | Time: 2059.33 ms [2022-01-19 17:38:43 main:574] : INFO : Epoch 1780 | loss: 0.0309934 | val_loss: 0.0313192 | Time: 2136.51 ms [2022-01-19 17:38:45 main:574] : INFO : Epoch 1781 | loss: 0.0310019 | val_loss: 0.0312739 | Time: 2010.64 ms [2022-01-19 17:38:47 main:574] : INFO : Epoch 1782 | loss: 0.0310027 | val_loss: 0.0313172 | Time: 2061.25 ms [2022-01-19 17:38:49 main:574] : INFO : Epoch 1783 | loss: 0.0309948 | val_loss: 0.0313275 | Time: 2076.77 ms [2022-01-19 17:38:51 main:574] : INFO : Epoch 1784 | loss: 0.0309906 | val_loss: 0.0312941 | Time: 2019.73 ms [2022-01-19 17:38:53 main:574] : INFO : Epoch 1785 | loss: 0.0310132 | val_loss: 0.0313314 | Time: 2055.4 ms [2022-01-19 17:38:55 main:574] : INFO : Epoch 1786 | loss: 0.0309937 | val_loss: 0.0312955 | Time: 2004.15 ms [2022-01-19 17:38:57 main:574] : INFO : Epoch 1787 | loss: 0.031001 | val_loss: 0.0313414 | Time: 2065.32 ms [2022-01-19 17:38:59 main:574] : INFO : Epoch 1788 | loss: 0.0309931 | val_loss: 0.0313267 | Time: 2099.1 ms [2022-01-19 17:39:01 main:574] : INFO : Epoch 1789 | loss: 0.0309865 | val_loss: 0.0313042 | Time: 2022.84 ms [2022-01-19 17:39:03 main:574] : INFO : Epoch 1790 | loss: 0.0309937 | val_loss: 0.031325 | Time: 2025.35 ms [2022-01-19 17:39:05 main:574] : INFO : Epoch 1791 | loss: 0.0310022 | val_loss: 0.0312989 | Time: 2084.93 ms [2022-01-19 17:39:07 main:574] : INFO : Epoch 1792 | loss: 0.031008 | val_loss: 0.0312967 | Time: 2056.47 ms [2022-01-19 17:39:09 main:574] : INFO : Epoch 1793 | loss: 0.0310025 | val_loss: 0.0312838 | Time: 2030.47 ms [2022-01-19 17:39:11 main:574] : INFO : Epoch 1794 | loss: 0.0310003 | val_loss: 0.0313 | Time: 1998.6 ms [2022-01-19 17:39:13 main:574] : INFO : Epoch 1795 | loss: 0.0310014 | val_loss: 0.0312877 | Time: 1964.74 ms [2022-01-19 17:39:15 main:574] : INFO : Epoch 1796 | loss: 0.0309953 | val_loss: 0.031313 | Time: 1997.08 ms [2022-01-19 17:39:17 main:574] : INFO : Epoch 1797 | loss: 0.030997 | val_loss: 0.0313104 | Time: 2047.03 ms [2022-01-19 17:39:19 main:574] : INFO : Epoch 1798 | loss: 0.030998 | val_loss: 0.0313123 | Time: 1986.43 ms [2022-01-19 17:39:21 main:574] : INFO : Epoch 1799 | loss: 0.0309953 | val_loss: 0.0313087 | Time: 2088.59 ms [2022-01-19 17:39:23 main:574] : INFO : Epoch 1800 | loss: 0.0309929 | val_loss: 0.0313102 | Time: 2023.07 ms [2022-01-19 17:39:26 main:574] : INFO : Epoch 1801 | loss: 0.0309949 | val_loss: 0.0312994 | Time: 2050.91 ms [2022-01-19 17:39:28 main:574] : INFO : Epoch 1802 | loss: 0.0309994 | val_loss: 0.0312836 | Time: 2039.87 ms [2022-01-19 17:39:30 main:574] : INFO : Epoch 1803 | loss: 0.0309999 | val_loss: 0.031348 | Time: 2052.55 ms [2022-01-19 17:39:32 main:574] : INFO : Epoch 1804 | loss: 0.0309964 | val_loss: 0.0313176 | Time: 1943.19 ms [2022-01-19 17:39:34 main:574] : INFO : Epoch 1805 | loss: 0.0309948 | val_loss: 0.0313036 | Time: 2025.52 ms [2022-01-19 17:39:36 main:574] : INFO : Epoch 1806 | loss: 0.0310087 | val_loss: 0.031349 | Time: 1967.97 ms [2022-01-19 17:39:38 main:574] : INFO : Epoch 1807 | loss: 0.0309936 | val_loss: 0.0312956 | Time: 2037.76 ms [2022-01-19 17:39:40 main:574] : INFO : Epoch 1808 | loss: 0.0309979 | val_loss: 0.0313252 | Time: 2124.75 ms [2022-01-19 17:39:42 main:574] : INFO : Epoch 1809 | loss: 0.0309937 | val_loss: 0.0313001 | Time: 1965.79 ms [2022-01-19 17:39:44 main:574] : INFO : Epoch 1810 | loss: 0.0309954 | val_loss: 0.0313022 | Time: 1953.97 ms [2022-01-19 17:39:46 main:574] : INFO : Epoch 1811 | loss: 0.0309938 | val_loss: 0.0313481 | Time: 2068.14 ms [2022-01-19 17:39:48 main:574] : INFO : Epoch 1812 | loss: 0.0310006 | val_loss: 0.0312967 | Time: 2042.12 ms [2022-01-19 17:39:50 main:574] : INFO : Epoch 1813 | loss: 0.0309998 | val_loss: 0.03135 | Time: 2050.92 ms [2022-01-19 17:39:52 main:574] : INFO : Epoch 1814 | loss: 0.0310148 | val_loss: 0.031307 | Time: 2029.49 ms [2022-01-19 17:39:54 main:574] : INFO : Epoch 1815 | loss: 0.0310331 | val_loss: 0.0313101 | Time: 2012.6 ms [2022-01-19 17:39:56 main:574] : INFO : Epoch 1816 | loss: 0.0310042 | val_loss: 0.0313034 | Time: 2120.66 ms [2022-01-19 17:39:58 main:574] : INFO : Epoch 1817 | loss: 0.0309997 | val_loss: 0.0313259 | Time: 2027.36 ms [2022-01-19 17:40:00 main:574] : INFO : Epoch 1818 | loss: 0.0310044 | val_loss: 0.031253 | Time: 1998.03 ms [2022-01-19 17:40:02 main:574] : INFO : Epoch 1819 | loss: 0.0309969 | val_loss: 0.0312752 | Time: 2044.84 ms [2022-01-19 17:40:04 main:574] : INFO : Epoch 1820 | loss: 0.0309904 | val_loss: 0.0313255 | Time: 1999.26 ms [2022-01-19 17:40:06 main:574] : INFO : Epoch 1821 | loss: 0.0309882 | val_loss: 0.0312934 | Time: 2047.87 ms [2022-01-19 17:40:08 main:574] : INFO : Epoch 1822 | loss: 0.0310052 | val_loss: 0.0313079 | Time: 2073.6 ms [2022-01-19 17:40:10 main:574] : INFO : Epoch 1823 | loss: 0.0309969 | val_loss: 0.0313177 | Time: 2028.65 ms [2022-01-19 17:40:12 main:574] : INFO : Epoch 1824 | loss: 0.0309929 | val_loss: 0.0313156 | Time: 2000.77 ms [2022-01-19 17:40:14 main:574] : INFO : Epoch 1825 | loss: 0.0309917 | val_loss: 0.0313036 | Time: 2035.03 ms [2022-01-19 17:40:16 main:574] : INFO : Epoch 1826 | loss: 0.0309941 | val_loss: 0.0313046 | Time: 2012.83 ms [2022-01-19 17:40:18 main:574] : INFO : Epoch 1827 | loss: 0.0309928 | val_loss: 0.031314 | Time: 2072.99 ms [2022-01-19 17:40:20 main:574] : INFO : Epoch 1828 | loss: 0.030991 | val_loss: 0.0313188 | Time: 1943.97 ms [2022-01-19 17:40:22 main:574] : INFO : Epoch 1829 | loss: 0.0309913 | val_loss: 0.0312937 | Time: 2017.06 ms [2022-01-19 17:40:24 main:574] : INFO : Epoch 1830 | loss: 0.0309969 | val_loss: 0.0313055 | Time: 2026.59 ms [2022-01-19 17:40:26 main:574] : INFO : Epoch 1831 | loss: 0.0309946 | val_loss: 0.0313259 | Time: 2006.85 ms [2022-01-19 17:40:28 main:574] : INFO : Epoch 1832 | loss: 0.0310057 | val_loss: 0.0313288 | Time: 2043.11 ms [2022-01-19 17:40:31 main:574] : INFO : Epoch 1833 | loss: 0.0310061 | val_loss: 0.0313348 | Time: 2067.13 ms [2022-01-19 17:40:33 main:574] : INFO : Epoch 1834 | loss: 0.031006 | val_loss: 0.031354 | Time: 1999.85 ms [2022-01-19 17:40:35 main:574] : INFO : Epoch 1835 | loss: 0.0313772 | val_loss: 0.0316211 | Time: 1995.04 ms [2022-01-19 17:40:37 main:574] : INFO : Epoch 1836 | loss: 0.0312221 | val_loss: 0.0313388 | Time: 2061.29 ms [2022-01-19 17:40:39 main:574] : INFO : Epoch 1837 | loss: 0.0310336 | val_loss: 0.0313261 | Time: 2025.81 ms [2022-01-19 17:40:41 main:574] : INFO : Epoch 1838 | loss: 0.0310014 | val_loss: 0.0313029 | Time: 2023.06 ms [2022-01-19 17:40:43 main:574] : INFO : Epoch 1839 | loss: 0.0309904 | val_loss: 0.0313024 | Time: 2059.93 ms [2022-01-19 17:40:45 main:574] : INFO : Epoch 1840 | loss: 0.0309993 | val_loss: 0.0313159 | Time: 2058.71 ms [2022-01-19 17:40:47 main:574] : INFO : Epoch 1841 | loss: 0.031 | val_loss: 0.0312678 | Time: 2194.77 ms [2022-01-19 17:40:49 main:574] : INFO : Epoch 1842 | loss: 0.0310025 | val_loss: 0.0313154 | Time: 2165.45 ms [2022-01-19 17:40:51 main:574] : INFO : Epoch 1843 | loss: 0.0309982 | val_loss: 0.0313096 | Time: 2109.23 ms [2022-01-19 17:40:53 main:574] : INFO : Epoch 1844 | loss: 0.031006 | val_loss: 0.0312737 | Time: 2040.08 ms [2022-01-19 17:40:55 main:574] : INFO : Epoch 1845 | loss: 0.0310083 | val_loss: 0.0312949 | Time: 2050.55 ms [2022-01-19 17:40:57 main:574] : INFO : Epoch 1846 | loss: 0.030998 | val_loss: 0.0312863 | Time: 2038.8 ms [2022-01-19 17:41:00 main:574] : INFO : Epoch 1847 | loss: 0.0309938 | val_loss: 0.0313249 | Time: 2160.22 ms [2022-01-19 17:41:02 main:574] : INFO : Epoch 1848 | loss: 0.0309919 | val_loss: 0.0313432 | Time: 2062.81 ms [2022-01-19 17:41:04 main:574] : INFO : Epoch 1849 | loss: 0.0309885 | val_loss: 0.0313096 | Time: 2019.48 ms [2022-01-19 17:41:06 main:574] : INFO : Epoch 1850 | loss: 0.0309947 | val_loss: 0.0313337 | Time: 2005.56 ms [2022-01-19 17:41:08 main:574] : INFO : Epoch 1851 | loss: 0.0310008 | val_loss: 0.0313186 | Time: 2113.94 ms [2022-01-19 17:41:10 main:574] : INFO : Epoch 1852 | loss: 0.0310009 | val_loss: 0.0312886 | Time: 2017.86 ms [2022-01-19 17:41:12 main:574] : INFO : Epoch 1853 | loss: 0.0310025 | val_loss: 0.031303 | Time: 2137.09 ms [2022-01-19 17:41:14 main:574] : INFO : Epoch 1854 | loss: 0.0309964 | val_loss: 0.0312839 | Time: 2027.5 ms [2022-01-19 17:41:16 main:574] : INFO : Epoch 1855 | loss: 0.0309956 | val_loss: 0.0312864 | Time: 2066.78 ms [2022-01-19 17:41:18 main:574] : INFO : Epoch 1856 | loss: 0.0309914 | val_loss: 0.0313211 | Time: 1998.02 ms [2022-01-19 17:41:20 main:574] : INFO : Epoch 1857 | loss: 0.0310086 | val_loss: 0.0313045 | Time: 2023.55 ms [2022-01-19 17:41:22 main:574] : INFO : Epoch 1858 | loss: 0.0310026 | val_loss: 0.0312822 | Time: 2051.01 ms [2022-01-19 17:41:24 main:574] : INFO : Epoch 1859 | loss: 0.0310059 | val_loss: 0.0313432 | Time: 2061.79 ms [2022-01-19 17:41:26 main:574] : INFO : Epoch 1860 | loss: 0.0309956 | val_loss: 0.0313094 | Time: 2028.59 ms [2022-01-19 17:41:28 main:574] : INFO : Epoch 1861 | loss: 0.031007 | val_loss: 0.0312882 | Time: 2011.72 ms [2022-01-19 17:41:30 main:574] : INFO : Epoch 1862 | loss: 0.0309907 | val_loss: 0.0313338 | Time: 2040.78 ms [2022-01-19 17:41:32 main:574] : INFO : Epoch 1863 | loss: 0.0309914 | val_loss: 0.031305 | Time: 2031.56 ms [2022-01-19 17:41:34 main:574] : INFO : Epoch 1864 | loss: 0.0309991 | val_loss: 0.0312956 | Time: 1998.14 ms [2022-01-19 17:41:36 main:574] : INFO : Epoch 1865 | loss: 0.030995 | val_loss: 0.0313214 | Time: 2022.69 ms [2022-01-19 17:41:38 main:574] : INFO : Epoch 1866 | loss: 0.0309837 | val_loss: 0.0313038 | Time: 2070.15 ms [2022-01-19 17:41:40 main:574] : INFO : Epoch 1867 | loss: 0.0310091 | val_loss: 0.0312744 | Time: 2036.28 ms [2022-01-19 17:41:42 main:574] : INFO : Epoch 1868 | loss: 0.0310124 | val_loss: 0.0313204 | Time: 2015.34 ms [2022-01-19 17:41:44 main:574] : INFO : Epoch 1869 | loss: 0.0310006 | val_loss: 0.0313098 | Time: 1979.03 ms [2022-01-19 17:41:47 main:574] : INFO : Epoch 1870 | loss: 0.0309972 | val_loss: 0.0313115 | Time: 2055.79 ms [2022-01-19 17:41:49 main:574] : INFO : Epoch 1871 | loss: 0.030988 | val_loss: 0.0313059 | Time: 2066.02 ms [2022-01-19 17:41:51 main:574] : INFO : Epoch 1872 | loss: 0.0309941 | val_loss: 0.0313183 | Time: 2099.84 ms [2022-01-19 17:41:53 main:574] : INFO : Epoch 1873 | loss: 0.0309935 | val_loss: 0.0312861 | Time: 2082.79 ms [2022-01-19 17:41:55 main:574] : INFO : Epoch 1874 | loss: 0.0310042 | val_loss: 0.0313054 | Time: 2093.05 ms [2022-01-19 17:41:57 main:574] : INFO : Epoch 1875 | loss: 0.0309949 | val_loss: 0.0312831 | Time: 2089.19 ms [2022-01-19 17:41:59 main:574] : INFO : Epoch 1876 | loss: 0.0309935 | val_loss: 0.031285 | Time: 2042.16 ms [2022-01-19 17:42:01 main:574] : INFO : Epoch 1877 | loss: 0.0309989 | val_loss: 0.0313185 | Time: 2138.16 ms [2022-01-19 17:42:03 main:574] : INFO : Epoch 1878 | loss: 0.031002 | val_loss: 0.0313361 | Time: 2060.93 ms [2022-01-19 17:42:05 main:574] : INFO : Epoch 1879 | loss: 0.0310048 | val_loss: 0.0313465 | Time: 2064.32 ms [2022-01-19 17:42:07 main:574] : INFO : Epoch 1880 | loss: 0.0310035 | val_loss: 0.0312801 | Time: 2046.53 ms [2022-01-19 17:42:09 main:574] : INFO : Epoch 1881 | loss: 0.0311153 | val_loss: 0.0312078 | Time: 2042.3 ms [2022-01-19 17:42:11 main:574] : INFO : Epoch 1882 | loss: 0.0311858 | val_loss: 0.0311924 | Time: 2023.9 ms [2022-01-19 17:42:14 main:574] : INFO : Epoch 1883 | loss: 0.031174 | val_loss: 0.0311873 | Time: 2063.89 ms [2022-01-19 17:42:16 main:574] : INFO : Epoch 1884 | loss: 0.0311644 | val_loss: 0.0311862 | Time: 2011.53 ms [2022-01-19 17:42:18 main:574] : INFO : Epoch 1885 | loss: 0.0311582 | val_loss: 0.0311832 | Time: 1979.75 ms [2022-01-19 17:42:20 main:574] : INFO : Epoch 1886 | loss: 0.0311524 | val_loss: 0.0311875 | Time: 2082.56 ms [2022-01-19 17:42:22 main:574] : INFO : Epoch 1887 | loss: 0.0311481 | val_loss: 0.0311857 | Time: 1986.25 ms [2022-01-19 17:42:24 main:574] : INFO : Epoch 1888 | loss: 0.0311424 | val_loss: 0.0311883 | Time: 2068.72 ms [2022-01-19 17:42:26 main:574] : INFO : Epoch 1889 | loss: 0.0311355 | val_loss: 0.0311936 | Time: 2028.51 ms [2022-01-19 17:42:28 main:574] : INFO : Epoch 1890 | loss: 0.0311327 | val_loss: 0.0311938 | Time: 2022.26 ms [2022-01-19 17:42:30 main:574] : INFO : Epoch 1891 | loss: 0.0311258 | val_loss: 0.0312017 | Time: 2041.5 ms [2022-01-19 17:42:32 main:574] : INFO : Epoch 1892 | loss: 0.0311213 | val_loss: 0.0312023 | Time: 2069.32 ms [2022-01-19 17:42:34 main:574] : INFO : Epoch 1893 | loss: 0.0311162 | val_loss: 0.0312054 | Time: 2007.02 ms [2022-01-19 17:42:36 main:574] : INFO : Epoch 1894 | loss: 0.0311108 | val_loss: 0.0312127 | Time: 2033.99 ms [2022-01-19 17:42:38 main:574] : INFO : Epoch 1895 | loss: 0.0311083 | val_loss: 0.0312146 | Time: 2058.17 ms [2022-01-19 17:42:40 main:574] : INFO : Epoch 1896 | loss: 0.0311042 | val_loss: 0.0312164 | Time: 2069.77 ms [2022-01-19 17:42:42 main:574] : INFO : Epoch 1897 | loss: 0.0310994 | val_loss: 0.0312187 | Time: 2093.07 ms [2022-01-19 17:42:44 main:574] : INFO : Epoch 1898 | loss: 0.0310924 | val_loss: 0.0312291 | Time: 2038.11 ms [2022-01-19 17:42:46 main:574] : INFO : Epoch 1899 | loss: 0.0310854 | val_loss: 0.0312276 | Time: 2089.92 ms [2022-01-19 17:42:48 main:574] : INFO : Epoch 1900 | loss: 0.0310768 | val_loss: 0.0312358 | Time: 2069.48 ms [2022-01-19 17:42:50 main:574] : INFO : Epoch 1901 | loss: 0.0310708 | val_loss: 0.0312359 | Time: 2040.63 ms [2022-01-19 17:42:52 main:574] : INFO : Epoch 1902 | loss: 0.0310621 | val_loss: 0.0312501 | Time: 2111.71 ms [2022-01-19 17:42:55 main:574] : INFO : Epoch 1903 | loss: 0.0310493 | val_loss: 0.0312598 | Time: 2067.6 ms [2022-01-19 17:42:57 main:574] : INFO : Epoch 1904 | loss: 0.0310411 | val_loss: 0.0312536 | Time: 2049.86 ms [2022-01-19 17:42:59 main:574] : INFO : Epoch 1905 | loss: 0.0310366 | val_loss: 0.0312778 | Time: 2072.83 ms [2022-01-19 17:43:01 main:574] : INFO : Epoch 1906 | loss: 0.0310318 | val_loss: 0.0312919 | Time: 2086.48 ms [2022-01-19 17:43:03 main:574] : INFO : Epoch 1907 | loss: 0.0310293 | val_loss: 0.0312997 | Time: 2012.29 ms [2022-01-19 17:43:05 main:574] : INFO : Epoch 1908 | loss: 0.0310199 | val_loss: 0.0312883 | Time: 2080.8 ms [2022-01-19 17:43:07 main:574] : INFO : Epoch 1909 | loss: 0.0310118 | val_loss: 0.031304 | Time: 2030.43 ms [2022-01-19 17:43:09 main:574] : INFO : Epoch 1910 | loss: 0.031013 | val_loss: 0.0312869 | Time: 2045.33 ms [2022-01-19 17:43:11 main:574] : INFO : Epoch 1911 | loss: 0.0310102 | val_loss: 0.0313094 | Time: 2136.6 ms [2022-01-19 17:43:13 main:574] : INFO : Epoch 1912 | loss: 0.0310179 | val_loss: 0.031276 | Time: 2100.84 ms [2022-01-19 17:43:15 main:574] : INFO : Epoch 1913 | loss: 0.0310067 | val_loss: 0.0313021 | Time: 2056.92 ms [2022-01-19 17:43:17 main:574] : INFO : Epoch 1914 | loss: 0.0310055 | val_loss: 0.0313119 | Time: 2118.97 ms [2022-01-19 17:43:20 main:574] : INFO : Epoch 1915 | loss: 0.0310005 | val_loss: 0.031326 | Time: 2138.69 ms [2022-01-19 17:43:22 main:574] : INFO : Epoch 1916 | loss: 0.0310001 | val_loss: 0.0312849 | Time: 2087.08 ms [2022-01-19 17:43:24 main:574] : INFO : Epoch 1917 | loss: 0.0310083 | val_loss: 0.0312963 | Time: 2049.75 ms [2022-01-19 17:43:26 main:574] : INFO : Epoch 1918 | loss: 0.0310046 | val_loss: 0.0312922 | Time: 2012 ms [2022-01-19 17:43:28 main:574] : INFO : Epoch 1919 | loss: 0.0310047 | val_loss: 0.031305 | Time: 2093.09 ms [2022-01-19 17:43:30 main:574] : INFO : Epoch 1920 | loss: 0.0310029 | val_loss: 0.031288 | Time: 2044.93 ms [2022-01-19 17:43:32 main:574] : INFO : Epoch 1921 | loss: 0.030998 | val_loss: 0.0313124 | Time: 2047.48 ms [2022-01-19 17:43:34 main:574] : INFO : Epoch 1922 | loss: 0.0310068 | val_loss: 0.0313038 | Time: 2135.09 ms [2022-01-19 17:43:36 main:574] : INFO : Epoch 1923 | loss: 0.031008 | val_loss: 0.0313172 | Time: 2054.28 ms [2022-01-19 17:43:38 main:574] : INFO : Epoch 1924 | loss: 0.0310014 | val_loss: 0.0313369 | Time: 2018.98 ms [2022-01-19 17:43:40 main:574] : INFO : Epoch 1925 | loss: 0.0310037 | val_loss: 0.0313128 | Time: 1991.65 ms [2022-01-19 17:43:42 main:574] : INFO : Epoch 1926 | loss: 0.031003 | val_loss: 0.0313226 | Time: 1996.68 ms [2022-01-19 17:43:44 main:574] : INFO : Epoch 1927 | loss: 0.0309987 | val_loss: 0.0313056 | Time: 2027.24 ms [2022-01-19 17:43:46 main:574] : INFO : Epoch 1928 | loss: 0.0310048 | val_loss: 0.0312986 | Time: 2055.5 ms [2022-01-19 17:43:48 main:574] : INFO : Epoch 1929 | loss: 0.0309991 | val_loss: 0.0313216 | Time: 1992.94 ms [2022-01-19 17:43:50 main:574] : INFO : Epoch 1930 | loss: 0.0310064 | val_loss: 0.0313402 | Time: 2045.35 ms [2022-01-19 17:43:52 main:574] : INFO : Epoch 1931 | loss: 0.0309963 | val_loss: 0.031317 | Time: 2098.84 ms [2022-01-19 17:43:54 main:574] : INFO : Epoch 1932 | loss: 0.0309942 | val_loss: 0.0312843 | Time: 2098.76 ms [2022-01-19 17:43:56 main:574] : INFO : Epoch 1933 | loss: 0.0309997 | val_loss: 0.0312944 | Time: 1990.99 ms [2022-01-19 17:43:59 main:574] : INFO : Epoch 1934 | loss: 0.0309987 | val_loss: 0.0313464 | Time: 2045.03 ms [2022-01-19 17:44:01 main:574] : INFO : Epoch 1935 | loss: 0.030999 | val_loss: 0.0313291 | Time: 2061.31 ms [2022-01-19 17:44:03 main:574] : INFO : Epoch 1936 | loss: 0.0310014 | val_loss: 0.0313037 | Time: 2047.41 ms [2022-01-19 17:44:05 main:574] : INFO : Epoch 1937 | loss: 0.0310108 | val_loss: 0.0313205 | Time: 2037.5 ms [2022-01-19 17:44:07 main:574] : INFO : Epoch 1938 | loss: 0.0310104 | val_loss: 0.0313163 | Time: 1975.54 ms [2022-01-19 17:44:09 main:574] : INFO : Epoch 1939 | loss: 0.0310023 | val_loss: 0.0313126 | Time: 2024.93 ms [2022-01-19 17:44:11 main:574] : INFO : Epoch 1940 | loss: 0.0310009 | val_loss: 0.0313066 | Time: 2059.56 ms [2022-01-19 17:44:13 main:574] : INFO : Epoch 1941 | loss: 0.0309948 | val_loss: 0.0313048 | Time: 2039.12 ms [2022-01-19 17:44:15 main:574] : INFO : Epoch 1942 | loss: 0.0310104 | val_loss: 0.0312708 | Time: 2050.99 ms [2022-01-19 17:44:17 main:574] : INFO : Epoch 1943 | loss: 0.0310141 | val_loss: 0.0313425 | Time: 2091.36 ms [2022-01-19 17:44:19 main:574] : INFO : Epoch 1944 | loss: 0.0310012 | val_loss: 0.0312689 | Time: 2019.94 ms [2022-01-19 17:44:21 main:574] : INFO : Epoch 1945 | loss: 0.0310022 | val_loss: 0.0312948 | Time: 2019.59 ms [2022-01-19 17:44:23 main:574] : INFO : Epoch 1946 | loss: 0.0310009 | val_loss: 0.0313191 | Time: 2037.37 ms [2022-01-19 17:44:25 main:574] : INFO : Epoch 1947 | loss: 0.0309961 | val_loss: 0.0313348 | Time: 2007.84 ms [2022-01-19 17:44:27 main:574] : INFO : Epoch 1948 | loss: 0.0309972 | val_loss: 0.0313165 | Time: 2057.39 ms [2022-01-19 17:44:29 main:574] : INFO : Epoch 1949 | loss: 0.030992 | val_loss: 0.0313031 | Time: 2039.5 ms [2022-01-19 17:44:31 main:574] : INFO : Epoch 1950 | loss: 0.0309891 | val_loss: 0.0312892 | Time: 2059.98 ms [2022-01-19 17:44:33 main:574] : INFO : Epoch 1951 | loss: 0.0309969 | val_loss: 0.031305 | Time: 2050.64 ms [2022-01-19 17:44:35 main:574] : INFO : Epoch 1952 | loss: 0.0309997 | val_loss: 0.031323 | Time: 2049.87 ms [2022-01-19 17:44:37 main:574] : INFO : Epoch 1953 | loss: 0.0309973 | val_loss: 0.0313093 | Time: 2095.77 ms [2022-01-19 17:44:39 main:574] : INFO : Epoch 1954 | loss: 0.0309956 | val_loss: 0.0313099 | Time: 2058.42 ms [2022-01-19 17:44:41 main:574] : INFO : Epoch 1955 | loss: 0.0310061 | val_loss: 0.0313172 | Time: 1995.7 ms [2022-01-19 17:44:44 main:574] : INFO : Epoch 1956 | loss: 0.0309999 | val_loss: 0.0312956 | Time: 2121.61 ms [2022-01-19 17:44:46 main:574] : INFO : Epoch 1957 | loss: 0.0310021 | val_loss: 0.0312942 | Time: 2061.16 ms [2022-01-19 17:44:48 main:574] : INFO : Epoch 1958 | loss: 0.031003 | val_loss: 0.0313285 | Time: 2034.13 ms [2022-01-19 17:44:50 main:574] : INFO : Epoch 1959 | loss: 0.0309992 | val_loss: 0.0312946 | Time: 2042.73 ms [2022-01-19 17:44:52 main:574] : INFO : Epoch 1960 | loss: 0.0309994 | val_loss: 0.0313305 | Time: 2051.89 ms [2022-01-19 17:44:54 main:574] : INFO : Epoch 1961 | loss: 0.0309942 | val_loss: 0.0313259 | Time: 2024.18 ms [2022-01-19 17:44:56 main:574] : INFO : Epoch 1962 | loss: 0.030992 | val_loss: 0.0312947 | Time: 2062.5 ms [2022-01-19 17:44:58 main:574] : INFO : Epoch 1963 | loss: 0.0309908 | val_loss: 0.0313242 | Time: 2054.72 ms [2022-01-19 17:45:00 main:574] : INFO : Epoch 1964 | loss: 0.0310103 | val_loss: 0.0312753 | Time: 2019.6 ms [2022-01-19 17:45:02 main:574] : INFO : Epoch 1965 | loss: 0.0309954 | val_loss: 0.0313403 | Time: 2049.03 ms [2022-01-19 17:45:04 main:574] : INFO : Epoch 1966 | loss: 0.0309919 | val_loss: 0.0313382 | Time: 2076.86 ms [2022-01-19 17:45:06 main:574] : INFO : Epoch 1967 | loss: 0.0309899 | val_loss: 0.0313444 | Time: 2060.14 ms [2022-01-19 17:45:08 main:574] : INFO : Epoch 1968 | loss: 0.0309919 | val_loss: 0.0313333 | Time: 2022.51 ms [2022-01-19 17:45:10 main:574] : INFO : Epoch 1969 | loss: 0.0309935 | val_loss: 0.0313243 | Time: 2048.86 ms [2022-01-19 17:45:12 main:574] : INFO : Epoch 1970 | loss: 0.030998 | val_loss: 0.031321 | Time: 2023.13 ms [2022-01-19 17:45:14 main:574] : INFO : Epoch 1971 | loss: 0.0309971 | val_loss: 0.0313076 | Time: 2022.83 ms [2022-01-19 17:45:16 main:574] : INFO : Epoch 1972 | loss: 0.0309978 | val_loss: 0.0313039 | Time: 2052.16 ms [2022-01-19 17:45:18 main:574] : INFO : Epoch 1973 | loss: 0.0310461 | val_loss: 0.0312774 | Time: 2072.39 ms [2022-01-19 17:45:21 main:574] : INFO : Epoch 1974 | loss: 0.0310342 | val_loss: 0.031293 | Time: 2094.59 ms [2022-01-19 17:45:23 main:574] : INFO : Epoch 1975 | loss: 0.0310085 | val_loss: 0.0313053 | Time: 2036.99 ms [2022-01-19 17:45:25 main:574] : INFO : Epoch 1976 | loss: 0.030999 | val_loss: 0.031339 | Time: 2037.74 ms [2022-01-19 17:45:27 main:574] : INFO : Epoch 1977 | loss: 0.030997 | val_loss: 0.0312915 | Time: 2110.49 ms [2022-01-19 17:45:29 main:574] : INFO : Epoch 1978 | loss: 0.0310007 | val_loss: 0.0312951 | Time: 1982.94 ms [2022-01-19 17:45:31 main:574] : INFO : Epoch 1979 | loss: 0.0310046 | val_loss: 0.0312829 | Time: 2002.64 ms [2022-01-19 17:45:33 main:574] : INFO : Epoch 1980 | loss: 0.0309971 | val_loss: 0.0312878 | Time: 2094.68 ms [2022-01-19 17:45:35 main:574] : INFO : Epoch 1981 | loss: 0.0309991 | val_loss: 0.0313107 | Time: 2064.55 ms [2022-01-19 17:45:37 main:574] : INFO : Epoch 1982 | loss: 0.0310022 | val_loss: 0.031277 | Time: 2038.77 ms [2022-01-19 17:45:39 main:574] : INFO : Epoch 1983 | loss: 0.031005 | val_loss: 0.0313134 | Time: 2031.43 ms [2022-01-19 17:45:41 main:574] : INFO : Epoch 1984 | loss: 0.0309979 | val_loss: 0.0313491 | Time: 2070.91 ms [2022-01-19 17:45:43 main:574] : INFO : Epoch 1985 | loss: 0.0310035 | val_loss: 0.0313185 | Time: 2031.96 ms [2022-01-19 17:45:45 main:574] : INFO : Epoch 1986 | loss: 0.0310013 | val_loss: 0.031279 | Time: 2006.73 ms [2022-01-19 17:45:47 main:574] : INFO : Epoch 1987 | loss: 0.0309987 | val_loss: 0.0313231 | Time: 2044.99 ms [2022-01-19 17:45:49 main:574] : INFO : Epoch 1988 | loss: 0.031 | val_loss: 0.0313008 | Time: 2050.36 ms [2022-01-19 17:45:51 main:574] : INFO : Epoch 1989 | loss: 0.0310062 | val_loss: 0.0313435 | Time: 2064.87 ms [2022-01-19 17:45:53 main:574] : INFO : Epoch 1990 | loss: 0.0310031 | val_loss: 0.0313186 | Time: 2070.33 ms [2022-01-19 17:45:55 main:574] : INFO : Epoch 1991 | loss: 0.0310022 | val_loss: 0.031304 | Time: 1951.78 ms [2022-01-19 17:45:57 main:574] : INFO : Epoch 1992 | loss: 0.0309995 | val_loss: 0.0313052 | Time: 2040.24 ms [2022-01-19 17:45:59 main:574] : INFO : Epoch 1993 | loss: 0.0310293 | val_loss: 0.0313186 | Time: 2020.27 ms [2022-01-19 17:46:01 main:574] : INFO : Epoch 1994 | loss: 0.0310212 | val_loss: 0.0312976 | Time: 2057.64 ms [2022-01-19 17:46:03 main:574] : INFO : Epoch 1995 | loss: 0.0309966 | val_loss: 0.0313231 | Time: 2033.13 ms [2022-01-19 17:46:06 main:574] : INFO : Epoch 1996 | loss: 0.0309955 | val_loss: 0.0312595 | Time: 2052.81 ms [2022-01-19 17:46:08 main:574] : INFO : Epoch 1997 | loss: 0.0310013 | val_loss: 0.0312993 | Time: 2065.06 ms [2022-01-19 17:46:10 main:574] : INFO : Epoch 1998 | loss: 0.031 | val_loss: 0.0313364 | Time: 2032.69 ms [2022-01-19 17:46:12 main:574] : INFO : Epoch 1999 | loss: 0.0310013 | val_loss: 0.0313028 | Time: 2087.48 ms [2022-01-19 17:46:14 main:574] : INFO : Epoch 2000 | loss: 0.0310034 | val_loss: 0.0313435 | Time: 2072.77 ms [2022-01-19 17:46:16 main:574] : INFO : Epoch 2001 | loss: 0.0309979 | val_loss: 0.0313116 | Time: 2037.36 ms [2022-01-19 17:46:18 main:574] : INFO : Epoch 2002 | loss: 0.0309924 | val_loss: 0.0313148 | Time: 2000.45 ms [2022-01-19 17:46:20 main:574] : INFO : Epoch 2003 | loss: 0.0309935 | val_loss: 0.0313221 | Time: 1988.37 ms [2022-01-19 17:46:22 main:574] : INFO : Epoch 2004 | loss: 0.0310036 | val_loss: 0.0313388 | Time: 2054.89 ms [2022-01-19 17:46:24 main:574] : INFO : Epoch 2005 | loss: 0.0309988 | val_loss: 0.0312954 | Time: 2088.86 ms [2022-01-19 17:46:26 main:574] : INFO : Epoch 2006 | loss: 0.0310011 | val_loss: 0.031322 | Time: 2022.72 ms [2022-01-19 17:46:28 main:574] : INFO : Epoch 2007 | loss: 0.0310044 | val_loss: 0.0313051 | Time: 2000.99 ms [2022-01-19 17:46:30 main:574] : INFO : Epoch 2008 | loss: 0.0310072 | val_loss: 0.0312765 | Time: 1943.83 ms [2022-01-19 17:46:32 main:574] : INFO : Epoch 2009 | loss: 0.0310077 | val_loss: 0.0313152 | Time: 2014.91 ms [2022-01-19 17:46:34 main:574] : INFO : Epoch 2010 | loss: 0.0309912 | val_loss: 0.0313163 | Time: 1993.4 ms [2022-01-19 17:46:36 main:574] : INFO : Epoch 2011 | loss: 0.030992 | val_loss: 0.0313348 | Time: 2073.75 ms [2022-01-19 17:46:38 main:574] : INFO : Epoch 2012 | loss: 0.030998 | val_loss: 0.0313158 | Time: 2022.06 ms [2022-01-19 17:46:40 main:574] : INFO : Epoch 2013 | loss: 0.0310038 | val_loss: 0.0313003 | Time: 2035.45 ms [2022-01-19 17:46:42 main:574] : INFO : Epoch 2014 | loss: 0.0309977 | val_loss: 0.0312964 | Time: 1977.47 ms [2022-01-19 17:46:44 main:574] : INFO : Epoch 2015 | loss: 0.030997 | val_loss: 0.0312938 | Time: 2036.23 ms [2022-01-19 17:46:46 main:574] : INFO : Epoch 2016 | loss: 0.0309939 | val_loss: 0.0313098 | Time: 1947.51 ms [2022-01-19 17:46:48 main:574] : INFO : Epoch 2017 | loss: 0.0310037 | val_loss: 0.0313394 | Time: 2002.03 ms [2022-01-19 17:46:50 main:574] : INFO : Epoch 2018 | loss: 0.0310009 | val_loss: 0.0312994 | Time: 1962.95 ms [2022-01-19 17:46:52 main:574] : INFO : Epoch 2019 | loss: 0.0309945 | val_loss: 0.0313457 | Time: 2039.26 ms [2022-01-19 17:46:54 main:574] : INFO : Epoch 2020 | loss: 0.030999 | val_loss: 0.0313215 | Time: 2113.57 ms [2022-01-19 17:46:56 main:574] : INFO : Epoch 2021 | loss: 0.0309985 | val_loss: 0.0313147 | Time: 2165.75 ms [2022-01-19 17:46:58 main:574] : INFO : Epoch 2022 | loss: 0.0310053 | val_loss: 0.0312993 | Time: 2072.04 ms [2022-01-19 17:47:01 main:574] : INFO : Epoch 2023 | loss: 0.0310051 | val_loss: 0.0313382 | Time: 2051.26 ms [2022-01-19 17:47:03 main:574] : INFO : Epoch 2024 | loss: 0.0310093 | val_loss: 0.0313058 | Time: 2050.47 ms [2022-01-19 17:47:05 main:574] : INFO : Epoch 2025 | loss: 0.030998 | val_loss: 0.0312954 | Time: 2086.34 ms [2022-01-19 17:47:07 main:574] : INFO : Epoch 2026 | loss: 0.0309935 | val_loss: 0.0313247 | Time: 2024.23 ms [2022-01-19 17:47:09 main:574] : INFO : Epoch 2027 | loss: 0.0309957 | val_loss: 0.0313151 | Time: 1991.59 ms [2022-01-19 17:47:11 main:574] : INFO : Epoch 2028 | loss: 0.0309983 | val_loss: 0.0313179 | Time: 2019.9 ms [2022-01-19 17:47:13 main:574] : INFO : Epoch 2029 | loss: 0.0309978 | val_loss: 0.031307 | Time: 2017.17 ms [2022-01-19 17:47:15 main:574] : INFO : Epoch 2030 | loss: 0.0310044 | val_loss: 0.031316 | Time: 2106.96 ms [2022-01-19 17:47:17 main:574] : INFO : Epoch 2031 | loss: 0.0310003 | val_loss: 0.0312957 | Time: 2134.65 ms [2022-01-19 17:47:19 main:574] : INFO : Epoch 2032 | loss: 0.0309936 | val_loss: 0.0312975 | Time: 2051.48 ms [2022-01-19 17:47:21 main:574] : INFO : Epoch 2033 | loss: 0.0309949 | val_loss: 0.0313012 | Time: 2035.93 ms [2022-01-19 17:47:23 main:574] : INFO : Epoch 2034 | loss: 0.0309931 | val_loss: 0.0313251 | Time: 2020.1 ms [2022-01-19 17:47:25 main:574] : INFO : Epoch 2035 | loss: 0.0309998 | val_loss: 0.0313166 | Time: 2030.99 ms [2022-01-19 17:47:27 main:574] : INFO : Epoch 2036 | loss: 0.0310044 | val_loss: 0.0313353 | Time: 2040.15 ms [2022-01-19 17:47:29 main:574] : INFO : Epoch 2037 | loss: 0.0309952 | val_loss: 0.0313411 | Time: 2072.63 ms [2022-01-19 17:47:31 main:574] : INFO : Epoch 2038 | loss: 0.0309933 | val_loss: 0.0312961 | Time: 2088.94 ms [2022-01-19 17:47:33 main:574] : INFO : Epoch 2039 | loss: 0.0310092 | val_loss: 0.0313104 | Time: 2125.73 ms [2022-01-19 17:47:35 main:574] : INFO : Epoch 2040 | loss: 0.0310035 | val_loss: 0.0313006 | Time: 1919.36 ms [2022-01-19 17:47:37 main:574] : INFO : Epoch 2041 | loss: 0.031003 | val_loss: 0.0313001 | Time: 2048.94 ms [2022-01-19 17:47:40 main:574] : INFO : Epoch 2042 | loss: 0.0310014 | val_loss: 0.0312973 | Time: 2047.34 ms [2022-01-19 17:47:42 main:574] : INFO : Epoch 2043 | loss: 0.0309981 | val_loss: 0.0312983 | Time: 2083.48 ms [2022-01-19 17:47:44 main:574] : INFO : Epoch 2044 | loss: 0.0309914 | val_loss: 0.031316 | Time: 2016.84 ms [2022-01-19 17:47:46 main:574] : INFO : Epoch 2045 | loss: 0.0310015 | val_loss: 0.0312944 | Time: 2059.17 ms [2022-01-19 17:47:48 main:574] : INFO : Epoch 2046 | loss: 0.0309998 | val_loss: 0.0313326 | Time: 2077.11 ms [2022-01-19 17:47:50 main:574] : INFO : Epoch 2047 | loss: 0.0310005 | val_loss: 0.0313162 | Time: 2071.39 ms [2022-01-19 17:47:52 main:574] : INFO : Epoch 2048 | loss: 0.0309971 | val_loss: 0.0313048 | Time: 2078.85 ms [2022-01-19 17:47:52 main:597] : INFO : Saving trained model to model-final.pt, val_loss 0.0313048 [2022-01-19 17:47:52 main:603] : INFO : Saving end state to config to file [2022-01-19 17:47:52 main:608] : INFO : Success, exiting.. 17:47:52 (1808): 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)