Task 14188127
| Name | ParityModified-1647048096-26259-2-0_0 |
| Workunit | 11249602 |
| Created | 1 Apr 2022, 10:10:30 UTC |
| Sent | 5 Apr 2022, 10:07:55 UTC |
| Report deadline | 13 Apr 2022, 10:07:55 UTC |
| Received | 6 Apr 2022, 12:23:22 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 16262 |
| Run time | 41 min 14 sec |
| CPU time | 39 min 57 sec |
| Validate state | Valid |
| Credit | 4,160.00 |
| Device peak FLOPS | 5,073.77 GFLOPS |
| Application version | Machine Learning Dataset Generator (GPU) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 2.08 GB |
| Peak swap size | 4.33 GB |
| Peak disk usage | 1.54 GB |
Stderr output
<core_client_version>7.16.20</core_client_version>
<![CDATA[
<stderr_txt>
main:512] : INFO : Loading config
[2022-04-06 13:39:04 main:514] : INFO : Loading state
[2022-04-06 13:39:05 main:559] : INFO : Loading DataLoader into Memory
[2022-04-06 13:39:05 main:562] : INFO : Starting Training
[2022-04-06 13:39:06 main:574] : INFO : Epoch 1831 | loss: 0.0312188 | val_loss: 0.0312055 | Time: 1482.42 ms
[2022-04-06 13:39:07 main:574] : INFO : Epoch 1832 | loss: 0.0311985 | val_loss: 0.0311971 | Time: 1265.02 ms
[2022-04-06 13:39:09 main:574] : INFO : Epoch 1833 | loss: 0.0311966 | val_loss: 0.0311971 | Time: 1269.18 ms
[2022-04-06 13:39:10 main:574] : INFO : Epoch 1834 | loss: 0.031196 | val_loss: 0.0311985 | Time: 1256.58 ms
[2022-04-06 13:39:11 main:574] : INFO : Epoch 1835 | loss: 0.0311982 | val_loss: 0.0311984 | Time: 1259.31 ms
[2022-04-06 13:39:12 main:574] : INFO : Epoch 1836 | loss: 0.0311961 | val_loss: 0.0311962 | Time: 1276.22 ms
Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 1660)
[2022-04-06 13:40:17 main:435] : INFO : Set logging level to 1
[2022-04-06 13:40:17 main:441] : INFO : Running in BOINC Client mode
[2022-04-06 13:40:17 main:444] : INFO : Resolving all filenames
[2022-04-06 13:40:17 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1)
[2022-04-06 13:40:17 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1)
[2022-04-06 13:40:17 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0)
[2022-04-06 13:40:17 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1)
[2022-04-06 13:40:17 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1)
[2022-04-06 13:40:17 main:472] : INFO : Dataset filename: dataset.hdf5
[2022-04-06 13:40:17 main:474] : INFO : Configuration:
[2022-04-06 13:40:17 main:475] : INFO : Model type: GRU
[2022-04-06 13:40:17 main:476] : INFO : Validation Loss Threshold: 0.0001
[2022-04-06 13:40:17 main:477] : INFO : Max Epochs: 2048
[2022-04-06 13:40:17 main:478] : INFO : Batch Size: 128
[2022-04-06 13:40:17 main:479] : INFO : Learning Rate: 0.01
[2022-04-06 13:40:17 main:480] : INFO : Patience: 10
[2022-04-06 13:40:17 main:481] : INFO : Hidden Width: 12
[2022-04-06 13:40:17 main:482] : INFO : # Recurrent Layers: 4
[2022-04-06 13:40:17 main:483] : INFO : # Backend Layers: 4
[2022-04-06 13:40:17 main:484] : INFO : # Threads: 1
[2022-04-06 13:40:17 main:486] : INFO : Preparing Dataset
[2022-04-06 13:40:17 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory
[2022-04-06 13:40:17 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory
[2022-04-06 13:40:18 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory.
[2022-04-06 13:40:18 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory
[2022-04-06 13:40:18 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory
[2022-04-06 13:40:18 load:106] : INFO : Successfully loaded dataset of 512 examples into memory.
[2022-04-06 13:40:18 main:494] : INFO : Creating Model
[2022-04-06 13:40:18 main:507] : INFO : Preparing config file
[2022-04-06 13:40:18 main:511] : INFO : Found checkpoint, attempting to load...
[2022-04-06 13:40:18 main:512] : INFO : Loading config
[2022-04-06 13:40:18 main:514] : INFO : Loading state
[2022-04-06 13:40:19 main:559] : INFO : Loading DataLoader into Memory
[2022-04-06 13:40:19 main:562] : INFO : Starting Training
[2022-04-06 13:40:21 main:574] : INFO : Epoch 1831 | loss: 0.0312218 | val_loss: 0.0312028 | Time: 1477.67 ms
[2022-04-06 13:40:22 main:574] : INFO : Epoch 1832 | loss: 0.0311985 | val_loss: 0.0312001 | Time: 1257.94 ms
[2022-04-06 13:40:23 main:574] : INFO : Epoch 1833 | loss: 0.0311958 | val_loss: 0.0311985 | Time: 1258.99 ms
[2022-04-06 13:40:24 main:574] : INFO : Epoch 1834 | loss: 0.0311968 | val_loss: 0.0311968 | Time: 1254.59 ms
[2022-04-06 13:40:26 main:574] : INFO : Epoch 1835 | loss: 0.0311947 | val_loss: 0.0311956 | Time: 1248.95 ms
[2022-04-06 13:40:27 main:574] : INFO : Epoch 1836 | loss: 0.0311941 | val_loss: 0.0311975 | Time: 1256.61 ms
[2022-04-06 13:40:28 main:574] : INFO : Epoch 1837 | loss: 0.0311946 | val_loss: 0.0311987 | Time: 1259.32 ms
[2022-04-06 13:40:30 main:574] : INFO : Epoch 1838 | loss: 0.031193 | val_loss: 0.0311954 | Time: 1252.24 ms
[2022-04-06 13:40:31 main:574] : INFO : Epoch 1839 | loss: 0.0311937 | val_loss: 0.0312008 | Time: 1261.44 ms
[2022-04-06 13:40:32 main:574] : INFO : Epoch 1840 | loss: 0.0311938 | val_loss: 0.0311961 | Time: 1255.47 ms
[2022-04-06 13:40:33 main:574] : INFO : Epoch 1841 | loss: 0.0311935 | val_loss: 0.0311989 | Time: 1259.08 ms
[2022-04-06 13:40:35 main:574] : INFO : Epoch 1842 | loss: 0.0311926 | val_loss: 0.0311955 | Time: 1258.26 ms
[2022-04-06 13:40:36 main:574] : INFO : Epoch 1843 | loss: 0.0311926 | val_loss: 0.0311951 | Time: 1255.4 ms
[2022-04-06 13:40:37 main:574] : INFO : Epoch 1844 | loss: 0.0311919 | val_loss: 0.0311973 | Time: 1266.05 ms
[2022-04-06 13:40:38 main:574] : INFO : Epoch 1845 | loss: 0.0311917 | val_loss: 0.0311959 | Time: 1257.11 ms
[2022-04-06 13:40:40 main:574] : INFO : Epoch 1846 | loss: 0.0311924 | val_loss: 0.0311973 | Time: 1259.37 ms
[2022-04-06 13:40:41 main:574] : INFO : Epoch 1847 | loss: 0.0311924 | val_loss: 0.0311967 | Time: 1260.21 ms
[2022-04-06 13:40:42 main:574] : INFO : Epoch 1848 | loss: 0.0311919 | val_loss: 0.031195 | Time: 1256.46 ms
[2022-04-06 13:40:44 main:574] : INFO : Epoch 1849 | loss: 0.0311921 | val_loss: 0.031195 | Time: 1270.08 ms
[2022-04-06 13:40:45 main:574] : INFO : Epoch 1850 | loss: 0.0311901 | val_loss: 0.0311958 | Time: 1277.87 ms
[2022-04-06 13:40:46 main:574] : INFO : Epoch 1851 | loss: 0.0311912 | val_loss: 0.0311966 | Time: 1260.47 ms
[2022-04-06 13:40:47 main:574] : INFO : Epoch 1852 | loss: 0.0311928 | val_loss: 0.0311991 | Time: 1258.4 ms
[2022-04-06 13:40:49 main:574] : INFO : Epoch 1853 | loss: 0.0311936 | val_loss: 0.0311959 | Time: 1274.67 ms
Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 1660)
[2022-04-06 13:41:58 main:435] : INFO : Set logging level to 1
[2022-04-06 13:41:58 main:441] : INFO : Running in BOINC Client mode
[2022-04-06 13:41:58 main:444] : INFO : Resolving all filenames
[2022-04-06 13:41:58 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1)
[2022-04-06 13:41:58 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1)
[2022-04-06 13:41:58 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0)
[2022-04-06 13:41:58 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1)
[2022-04-06 13:41:58 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1)
[2022-04-06 13:41:58 main:472] : INFO : Dataset filename: dataset.hdf5
[2022-04-06 13:41:58 main:474] : INFO : Configuration:
[2022-04-06 13:41:58 main:475] : INFO : Model type: GRU
[2022-04-06 13:41:58 main:476] : INFO : Validation Loss Threshold: 0.0001
[2022-04-06 13:41:58 main:477] : INFO : Max Epochs: 2048
[2022-04-06 13:41:58 main:478] : INFO : Batch Size: 128
[2022-04-06 13:41:58 main:479] : INFO : Learning Rate: 0.01
[2022-04-06 13:41:58 main:480] : INFO : Patience: 10
[2022-04-06 13:41:58 main:481] : INFO : Hidden Width: 12
[2022-04-06 13:41:58 main:482] : INFO : # Recurrent Layers: 4
[2022-04-06 13:41:58 main:483] : INFO : # Backend Layers: 4
[2022-04-06 13:41:58 main:484] : INFO : # Threads: 1
[2022-04-06 13:41:58 main:486] : INFO : Preparing Dataset
[2022-04-06 13:41:58 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory
[2022-04-06 13:41:58 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory
[2022-04-06 13:41:59 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory.
[2022-04-06 13:41:59 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory
[2022-04-06 13:41:59 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory
[2022-04-06 13:41:59 load:106] : INFO : Successfully loaded dataset of 512 examples into memory.
[2022-04-06 13:41:59 main:494] : INFO : Creating Model
[2022-04-06 13:41:59 main:507] : INFO : Preparing config file
[2022-04-06 13:41:59 main:511] : INFO : Found checkpoint, attempting to load...
[2022-04-06 13:41:59 main:512] : INFO : Loading config
[2022-04-06 13:41:59 main:514] : INFO : Loading state
[2022-04-06 13:42:00 main:559] : INFO : Loading DataLoader into Memory
[2022-04-06 13:42:00 main:562] : INFO : Starting Training
[2022-04-06 13:42:02 main:574] : INFO : Epoch 1831 | loss: 0.0312287 | val_loss: 0.0312073 | Time: 1476.94 ms
[2022-04-06 13:42:03 main:574] : INFO : Epoch 1832 | loss: 0.0312012 | val_loss: 0.0312059 | Time: 1260 ms
[2022-04-06 13:42:04 main:574] : INFO : Epoch 1833 | loss: 0.0312002 | val_loss: 0.0311988 | Time: 1258.81 ms
[2022-04-06 13:42:06 main:574] : INFO : Epoch 1834 | loss: 0.0311965 | val_loss: 0.0311966 | Time: 1263.02 ms
[2022-04-06 13:42:07 main:574] : INFO : Epoch 1835 | loss: 0.031197 | val_loss: 0.0311983 | Time: 1261.62 ms
[2022-04-06 13:42:08 main:574] : INFO : Epoch 1836 | loss: 0.031198 | val_loss: 0.0312024 | Time: 1259.5 ms
[2022-04-06 13:42:09 main:574] : INFO : Epoch 1837 | loss: 0.0311983 | val_loss: 0.0312001 | Time: 1264.12 ms
[2022-04-06 13:42:11 main:574] : INFO : Epoch 1838 | loss: 0.0311956 | val_loss: 0.0311994 | Time: 1258.02 ms
[2022-04-06 13:42:12 main:574] : INFO : Epoch 1839 | loss: 0.0311961 | val_loss: 0.0312044 | Time: 1256.98 ms
[2022-04-06 13:42:13 main:574] : INFO : Epoch 1840 | loss: 0.031202 | val_loss: 0.0311994 | Time: 1259.31 ms
[2022-04-06 13:42:15 main:574] : INFO : Epoch 1841 | loss: 0.0311981 | val_loss: 0.0312036 | Time: 1259.73 ms
[2022-04-06 13:42:16 main:574] : INFO : Epoch 1842 | loss: 0.0311965 | val_loss: 0.0311994 | Time: 1255.17 ms
[2022-04-06 13:42:17 main:574] : INFO : Epoch 1843 | loss: 0.0311945 | val_loss: 0.0312015 | Time: 1266.7 ms
[2022-04-06 13:42:18 main:574] : INFO : Epoch 1844 | loss: 0.0311953 | val_loss: 0.0312018 | Time: 1260.49 ms
[2022-04-06 13:42:20 main:574] : INFO : Epoch 1845 | loss: 0.0311962 | val_loss: 0.0312023 | Time: 1261.86 ms
[2022-04-06 13:42:21 main:574] : INFO : Epoch 1846 | loss: 0.0311966 | val_loss: 0.0311999 | Time: 1256.37 ms
[2022-04-06 13:42:22 main:574] : INFO : Epoch 1847 | loss: 0.0311938 | val_loss: 0.031199 | Time: 1257.49 ms
[2022-04-06 13:42:23 main:574] : INFO : Epoch 1848 | loss: 0.0311935 | val_loss: 0.0312008 | Time: 1258.94 ms
[2022-04-06 13:42:25 main:574] : INFO : Epoch 1849 | loss: 0.0311948 | val_loss: 0.0312017 | Time: 1261.29 ms
[2022-04-06 13:42:26 main:574] : INFO : Epoch 1850 | loss: 0.0311954 | val_loss: 0.0312022 | Time: 1261.87 ms
[2022-04-06 13:42:27 main:574] : INFO : Epoch 1851 | loss: 0.0311936 | val_loss: 0.0311988 | Time: 1269.42 ms
[2022-04-06 13:42:29 main:574] : INFO : Epoch 1852 | loss: 0.031193 | val_loss: 0.0311987 | Time: 1263.44 ms
[2022-04-06 13:42:30 main:574] : INFO : Epoch 1853 | loss: 0.0311928 | val_loss: 0.0311967 | Time: 1266.72 ms
[2022-04-06 13:42:31 main:574] : INFO : Epoch 1854 | loss: 0.0311929 | val_loss: 0.0311971 | Time: 1267.4 ms
[2022-04-06 13:42:32 main:574] : INFO : Epoch 1855 | loss: 0.0311935 | val_loss: 0.0311991 | Time: 1268.62 ms
[2022-04-06 13:42:34 main:574] : INFO : Epoch 1856 | loss: 0.0311938 | val_loss: 0.0311981 | Time: 1268.15 ms
[2022-04-06 13:42:35 main:574] : INFO : Epoch 1857 | loss: 0.0311925 | val_loss: 0.0312004 | Time: 1255.32 ms
[2022-04-06 13:42:36 main:574] : INFO : Epoch 1858 | loss: 0.0311943 | val_loss: 0.0312027 | Time: 1257.62 ms
[2022-04-06 13:42:37 main:574] : INFO : Epoch 1859 | loss: 0.0311943 | val_loss: 0.0312002 | Time: 1279.26 ms
[2022-04-06 13:42:39 main:574] : INFO : Epoch 1860 | loss: 0.0311929 | val_loss: 0.0311997 | Time: 1290.72 ms
Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 1660)
[2022-04-06 13:46:09 main:435] : INFO : Set logging level to 1
[2022-04-06 13:46:09 main:441] : INFO : Running in BOINC Client mode
[2022-04-06 13:46:09 main:444] : INFO : Resolving all filenames
[2022-04-06 13:46:09 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1)
[2022-04-06 13:46:09 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1)
[2022-04-06 13:46:09 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0)
[2022-04-06 13:46:09 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1)
[2022-04-06 13:46:09 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1)
[2022-04-06 13:46:09 main:472] : INFO : Dataset filename: dataset.hdf5
[2022-04-06 13:46:09 main:474] : INFO : Configuration:
[2022-04-06 13:46:09 main:475] : INFO : Model type: GRU
[2022-04-06 13:46:09 main:476] : INFO : Validation Loss Threshold: 0.0001
[2022-04-06 13:46:09 main:477] : INFO : Max Epochs: 2048
[2022-04-06 13:46:09 main:478] : INFO : Batch Size: 128
[2022-04-06 13:46:09 main:479] : INFO : Learning Rate: 0.01
[2022-04-06 13:46:09 main:480] : INFO : Patience: 10
[2022-04-06 13:46:09 main:481] : INFO : Hidden Width: 12
[2022-04-06 13:46:09 main:482] : INFO : # Recurrent Layers: 4
[2022-04-06 13:46:09 main:483] : INFO : # Backend Layers: 4
[2022-04-06 13:46:09 main:484] : INFO : # Threads: 1
[2022-04-06 13:46:09 main:486] : INFO : Preparing Dataset
[2022-04-06 13:46:10 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory
[2022-04-06 13:46:10 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory
[2022-04-06 13:46:11 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory.
[2022-04-06 13:46:11 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory
[2022-04-06 13:46:11 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory
[2022-04-06 13:46:11 load:106] : INFO : Successfully loaded dataset of 512 examples into memory.
[2022-04-06 13:46:11 main:494] : INFO : Creating Model
[2022-04-06 13:46:11 main:507] : INFO : Preparing config file
[2022-04-06 13:46:11 main:511] : INFO : Found checkpoint, attempting to load...
[2022-04-06 13:46:11 main:512] : INFO : Loading config
[2022-04-06 13:46:11 main:514] : INFO : Loading state
[2022-04-06 13:46:12 main:559] : INFO : Loading DataLoader into Memory
[2022-04-06 13:46:12 main:562] : INFO : Starting Training
[2022-04-06 13:46:14 main:574] : INFO : Epoch 1831 | loss: 0.0312206 | val_loss: 0.0312052 | Time: 1495.02 ms
[2022-04-06 13:46:15 main:574] : INFO : Epoch 1832 | loss: 0.0312006 | val_loss: 0.0312064 | Time: 1255.21 ms
[2022-04-06 13:46:16 main:574] : INFO : Epoch 1833 | loss: 0.0312002 | val_loss: 0.0312007 | Time: 1280.2 ms
[2022-04-06 13:46:17 main:574] : INFO : Epoch 1834 | loss: 0.0311964 | val_loss: 0.0311979 | Time: 1272.34 ms
[2022-04-06 13:46:19 main:574] : INFO : Epoch 1835 | loss: 0.0311946 | val_loss: 0.0312004 | Time: 1262.03 ms
[2022-04-06 13:46:20 main:574] : INFO : Epoch 1836 | loss: 0.0311952 | val_loss: 0.0311985 | Time: 1276.64 ms
[2022-04-06 13:46:21 main:574] : INFO : Epoch 1837 | loss: 0.0311954 | val_loss: 0.0311977 | Time: 1262.03 ms
[2022-04-06 13:46:22 main:574] : INFO : Epoch 1838 | loss: 0.031192 | val_loss: 0.031198 | Time: 1262.8 ms
[2022-04-06 13:46:24 main:574] : INFO : Epoch 1839 | loss: 0.0311912 | val_loss: 0.0311969 | Time: 1255.58 ms
[2022-04-06 13:46:25 main:574] : INFO : Epoch 1840 | loss: 0.0311922 | val_loss: 0.0311958 | Time: 1264.29 ms
[2022-04-06 13:46:26 main:574] : INFO : Epoch 1841 | loss: 0.0311927 | val_loss: 0.0311969 | Time: 1258.12 ms
[2022-04-06 13:46:28 main:574] : INFO : Epoch 1842 | loss: 0.0311914 | val_loss: 0.0311981 | Time: 1256.81 ms
[2022-04-06 13:46:29 main:574] : INFO : Epoch 1843 | loss: 0.0311918 | val_loss: 0.0311987 | Time: 1258.04 ms
[2022-04-06 13:46:30 main:574] : INFO : Epoch 1844 | loss: 0.0311908 | val_loss: 0.0311976 | Time: 1259.74 ms
[2022-04-06 13:46:31 main:574] : INFO : Epoch 1845 | loss: 0.03119 | val_loss: 0.0311979 | Time: 1259.21 ms
[2022-04-06 13:46:33 main:574] : INFO : Epoch 1846 | loss: 0.03119 | val_loss: 0.0311976 | Time: 1263.28 ms
[2022-04-06 13:46:34 main:574] : INFO : Epoch 1847 | loss: 0.0311903 | val_loss: 0.0311981 | Time: 1269.5 ms
[2022-04-06 13:46:35 main:574] : INFO : Epoch 1848 | loss: 0.0311902 | val_loss: 0.0311955 | Time: 1258.72 ms
[2022-04-06 13:46:36 main:574] : INFO : Epoch 1849 | loss: 0.0311897 | val_loss: 0.0311984 | Time: 1258.18 ms
[2022-04-06 13:46:38 main:574] : INFO : Epoch 1850 | loss: 0.0311909 | val_loss: 0.0311974 | Time: 1259.7 ms
[2022-04-06 13:46:39 main:574] : INFO : Epoch 1851 | loss: 0.0311914 | val_loss: 0.0311961 | Time: 1263.87 ms
[2022-04-06 13:46:40 main:574] : INFO : Epoch 1852 | loss: 0.0311899 | val_loss: 0.0311948 | Time: 1253.33 ms
[2022-04-06 13:46:42 main:574] : INFO : Epoch 1853 | loss: 0.0311929 | val_loss: 0.0311968 | Time: 1267.79 ms
[2022-04-06 13:46:43 main:574] : INFO : Epoch 1854 | loss: 0.0311947 | val_loss: 0.0311953 | Time: 1263.35 ms
[2022-04-06 13:46:44 main:574] : INFO : Epoch 1855 | loss: 0.0311982 | val_loss: 0.0311937 | Time: 1262.77 ms
[2022-04-06 13:46:45 main:574] : INFO : Epoch 1856 | loss: 0.0311928 | val_loss: 0.0311908 | Time: 1256.93 ms
[2022-04-06 13:46:47 main:574] : INFO : Epoch 1857 | loss: 0.0311921 | val_loss: 0.0311919 | Time: 1262.06 ms
[2022-04-06 13:46:48 main:574] : INFO : Epoch 1858 | loss: 0.0311915 | val_loss: 0.0311912 | Time: 1265.4 ms
[2022-04-06 13:46:49 main:574] : INFO : Epoch 1859 | loss: 0.0311905 | val_loss: 0.0311893 | Time: 1257.38 ms
[2022-04-06 13:46:50 main:574] : INFO : Epoch 1860 | loss: 0.0311917 | val_loss: 0.0311906 | Time: 1260.48 ms
[2022-04-06 13:46:52 main:574] : INFO : Epoch 1861 | loss: 0.0311921 | val_loss: 0.0311906 | Time: 1256.34 ms
[2022-04-06 13:46:53 main:574] : INFO : Epoch 1862 | loss: 0.0311917 | val_loss: 0.0311899 | Time: 1266.98 ms
[2022-04-06 13:46:54 main:574] : INFO : Epoch 1863 | loss: 0.0311913 | val_loss: 0.0311913 | Time: 1269.61 ms
[2022-04-06 13:46:56 main:574] : INFO : Epoch 1864 | loss: 0.0311911 | val_loss: 0.0311898 | Time: 1252.49 ms
[2022-04-06 13:46:57 main:574] : INFO : Epoch 1865 | loss: 0.031191 | val_loss: 0.0311916 | Time: 1258.74 ms
[2022-04-06 13:46:58 main:574] : INFO : Epoch 1866 | loss: 0.0311915 | val_loss: 0.0311903 | Time: 1266.49 ms
[2022-04-06 13:46:59 main:574] : INFO : Epoch 1867 | loss: 0.0311915 | val_loss: 0.0311924 | Time: 1267.87 ms
[2022-04-06 13:47:01 main:574] : INFO : Epoch 1868 | loss: 0.0311926 | val_loss: 0.0311944 | Time: 1272.09 ms
[2022-04-06 13:47:02 main:574] : INFO : Epoch 1869 | loss: 0.0311934 | val_loss: 0.0311912 | Time: 1261.79 ms
[2022-04-06 13:47:03 main:574] : INFO : Epoch 1870 | loss: 0.0311917 | val_loss: 0.0311917 | Time: 1258.64 ms
[2022-04-06 13:47:04 main:574] : INFO : Epoch 1871 | loss: 0.0311912 | val_loss: 0.0311899 | Time: 1263.62 ms
[2022-04-06 13:47:06 main:574] : INFO : Epoch 1872 | loss: 0.0311905 | val_loss: 0.031191 | Time: 1256.89 ms
[2022-04-06 13:47:07 main:574] : INFO : Epoch 1873 | loss: 0.0311899 | val_loss: 0.0311901 | Time: 1262.81 ms
[2022-04-06 13:47:08 main:574] : INFO : Epoch 1874 | loss: 0.0311908 | val_loss: 0.0311902 | Time: 1267.04 ms
[2022-04-06 13:47:10 main:574] : INFO : Epoch 1875 | loss: 0.0311918 | val_loss: 0.0311929 | Time: 1264.11 ms
[2022-04-06 13:47:11 main:574] : INFO : Epoch 1876 | loss: 0.0311906 | val_loss: 0.0311906 | Time: 1288.68 ms
[2022-04-06 13:47:12 main:574] : INFO : Epoch 1877 | loss: 0.0311894 | val_loss: 0.0311896 | Time: 1259.21 ms
[2022-04-06 13:47:13 main:574] : INFO : Epoch 1878 | loss: 0.031189 | val_loss: 0.0311907 | Time: 1256.81 ms
[2022-04-06 13:47:15 main:574] : INFO : Epoch 1879 | loss: 0.03119 | val_loss: 0.0311904 | Time: 1261.32 ms
[2022-04-06 13:47:16 main:574] : INFO : Epoch 1880 | loss: 0.03119 | val_loss: 0.0311906 | Time: 1256.11 ms
[2022-04-06 13:47:17 main:574] : INFO : Epoch 1881 | loss: 0.0311894 | val_loss: 0.0311902 | Time: 1262.8 ms
[2022-04-06 13:47:19 main:574] : INFO : Epoch 1882 | loss: 0.0311887 | val_loss: 0.0311896 | Time: 1267.72 ms
[2022-04-06 13:47:20 main:574] : INFO : Epoch 1883 | loss: 0.0311896 | val_loss: 0.0311918 | Time: 1259.27 ms
[2022-04-06 13:47:21 main:574] : INFO : Epoch 1884 | loss: 0.0311911 | val_loss: 0.031193 | Time: 1262.98 ms
[2022-04-06 13:47:22 main:574] : INFO : Epoch 1885 | loss: 0.0311925 | val_loss: 0.0311936 | Time: 1260.82 ms
[2022-04-06 13:47:24 main:574] : INFO : Epoch 1886 | loss: 0.0311914 | val_loss: 0.0311949 | Time: 1257.08 ms
[2022-04-06 13:47:25 main:574] : INFO : Epoch 1887 | loss: 0.0311909 | val_loss: 0.0311914 | Time: 1259.78 ms
[2022-04-06 13:47:26 main:574] : INFO : Epoch 1888 | loss: 0.0311917 | val_loss: 0.0311959 | Time: 1257.51 ms
[2022-04-06 13:47:27 main:574] : INFO : Epoch 1889 | loss: 0.0311924 | val_loss: 0.0311945 | Time: 1265.95 ms
[2022-04-06 13:47:29 main:574] : INFO : Epoch 1890 | loss: 0.0311918 | val_loss: 0.0311926 | Time: 1259.34 ms
[2022-04-06 13:47:30 main:574] : INFO : Epoch 1891 | loss: 0.0311897 | val_loss: 0.0311908 | Time: 1262.58 ms
[2022-04-06 13:47:31 main:574] : INFO : Epoch 1892 | loss: 0.0311894 | val_loss: 0.031191 | Time: 1258.93 ms
[2022-04-06 13:47:32 main:574] : INFO : Epoch 1893 | loss: 0.0311892 | val_loss: 0.03119 | Time: 1258.7 ms
[2022-04-06 13:47:34 main:574] : INFO : Epoch 1894 | loss: 0.0311893 | val_loss: 0.0311922 | Time: 1267.95 ms
[2022-04-06 13:47:35 main:574] : INFO : Epoch 1895 | loss: 0.0311902 | val_loss: 0.0311905 | Time: 1258.26 ms
Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 1660)
[2022-04-06 13:49:10 main:435] : INFO : Set logging level to 1
[2022-04-06 13:49:10 main:441] : INFO : Running in BOINC Client mode
[2022-04-06 13:49:10 main:444] : INFO : Resolving all filenames
[2022-04-06 13:49:10 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1)
[2022-04-06 13:49:10 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1)
[2022-04-06 13:49:10 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0)
[2022-04-06 13:49:10 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1)
[2022-04-06 13:49:10 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1)
[2022-04-06 13:49:10 main:472] : INFO : Dataset filename: dataset.hdf5
[2022-04-06 13:49:10 main:474] : INFO : Configuration:
[2022-04-06 13:49:10 main:475] : INFO : Model type: GRU
[2022-04-06 13:49:10 main:476] : INFO : Validation Loss Threshold: 0.0001
[2022-04-06 13:49:10 main:477] : INFO : Max Epochs: 2048
[2022-04-06 13:49:10 main:478] : INFO : Batch Size: 128
[2022-04-06 13:49:10 main:479] : INFO : Learning Rate: 0.01
[2022-04-06 13:49:10 main:480] : INFO : Patience: 10
[2022-04-06 13:49:10 main:481] : INFO : Hidden Width: 12
[2022-04-06 13:49:10 main:482] : INFO : # Recurrent Layers: 4
[2022-04-06 13:49:10 main:483] : INFO : # Backend Layers: 4
[2022-04-06 13:49:10 main:484] : INFO : # Threads: 1
[2022-04-06 13:49:10 main:486] : INFO : Preparing Dataset
[2022-04-06 13:49:10 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory
[2022-04-06 13:49:10 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory
[2022-04-06 13:49:12 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory.
[2022-04-06 13:49:12 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory
[2022-04-06 13:49:12 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory
[2022-04-06 13:49:12 load:106] : INFO : Successfully loaded dataset of 512 examples into memory.
[2022-04-06 13:49:12 main:494] : INFO : Creating Model
[2022-04-06 13:49:12 main:507] : INFO : Preparing config file
[2022-04-06 13:49:12 main:511] : INFO : Found checkpoint, attempting to load...
[2022-04-06 13:49:12 main:512] : INFO : Loading config
[2022-04-06 13:49:12 main:514] : INFO : Loading state
[2022-04-06 13:49:13 main:559] : INFO : Loading DataLoader into Memory
[2022-04-06 13:49:13 main:562] : INFO : Starting Training
[2022-04-06 13:49:14 main:574] : INFO : Epoch 1831 | loss: 0.0312208 | val_loss: 0.0311993 | Time: 1477.29 ms
[2022-04-06 13:49:15 main:574] : INFO : Epoch 1832 | loss: 0.0311983 | val_loss: 0.0311972 | Time: 1256.57 ms
[2022-04-06 13:49:17 main:574] : INFO : Epoch 1833 | loss: 0.0311953 | val_loss: 0.0311986 | Time: 1253.59 ms
[2022-04-06 13:49:18 main:574] : INFO : Epoch 1834 | loss: 0.031196 | val_loss: 0.0312 | Time: 1273.39 ms
Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 1660)
[2022-04-06 14:17:01 main:435] : INFO : Set logging level to 1
[2022-04-06 14:17:01 main:441] : INFO : Running in BOINC Client mode
[2022-04-06 14:17:01 main:444] : INFO : Resolving all filenames
[2022-04-06 14:17:01 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1)
[2022-04-06 14:17:01 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1)
[2022-04-06 14:17:01 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0)
[2022-04-06 14:17:01 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1)
[2022-04-06 14:17:01 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1)
[2022-04-06 14:17:01 main:472] : INFO : Dataset filename: dataset.hdf5
[2022-04-06 14:17:01 main:474] : INFO : Configuration:
[2022-04-06 14:17:01 main:475] : INFO : Model type: GRU
[2022-04-06 14:17:01 main:476] : INFO : Validation Loss Threshold: 0.0001
[2022-04-06 14:17:01 main:477] : INFO : Max Epochs: 2048
[2022-04-06 14:17:01 main:478] : INFO : Batch Size: 128
[2022-04-06 14:17:01 main:479] : INFO : Learning Rate: 0.01
[2022-04-06 14:17:01 main:480] : INFO : Patience: 10
[2022-04-06 14:17:01 main:481] : INFO : Hidden Width: 12
[2022-04-06 14:17:01 main:482] : INFO : # Recurrent Layers: 4
[2022-04-06 14:17:01 main:483] : INFO : # Backend Layers: 4
[2022-04-06 14:17:01 main:484] : INFO : # Threads: 1
[2022-04-06 14:17:01 main:486] : INFO : Preparing Dataset
[2022-04-06 14:17:01 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory
[2022-04-06 14:17:02 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory
[2022-04-06 14:17:03 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory.
[2022-04-06 14:17:03 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory
[2022-04-06 14:17:03 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory
[2022-04-06 14:17:03 load:106] : INFO : Successfully loaded dataset of 512 examples into memory.
[2022-04-06 14:17:03 main:494] : INFO : Creating Model
[2022-04-06 14:17:03 main:507] : INFO : Preparing config file
[2022-04-06 14:17:03 main:511] : INFO : Found checkpoint, attempting to load...
[2022-04-06 14:17:03 main:512] : INFO : Loading config
[2022-04-06 14:17:03 main:514] : INFO : Loading state
[2022-04-06 14:17:04 main:559] : INFO : Loading DataLoader into Memory
[2022-04-06 14:17:04 main:562] : INFO : Starting Training
[2022-04-06 14:17:05 main:574] : INFO : Epoch 1831 | loss: 0.0312226 | val_loss: 0.0312047 | Time: 1483 ms
[2022-04-06 14:17:07 main:574] : INFO : Epoch 1832 | loss: 0.0311965 | val_loss: 0.0311969 | Time: 1260.64 ms
[2022-04-06 14:17:08 main:574] : INFO : Epoch 1833 | loss: 0.0311949 | val_loss: 0.0311968 | Time: 1250.37 ms
[2022-04-06 14:17:09 main:574] : INFO : Epoch 1834 | loss: 0.0311971 | val_loss: 0.0311977 | Time: 1259.62 ms
[2022-04-06 14:17:10 main:574] : INFO : Epoch 1835 | loss: 0.0311974 | val_loss: 0.0311986 | Time: 1258.34 ms
[2022-04-06 14:17:12 main:574] : INFO : Epoch 1836 | loss: 0.0311964 | val_loss: 0.0311968 | Time: 1255.72 ms
[2022-04-06 14:17:13 main:574] : INFO : Epoch 1837 | loss: 0.0311953 | val_loss: 0.031197 | Time: 1258.33 ms
[2022-04-06 14:17:14 main:574] : INFO : Epoch 1838 | loss: 0.0311954 | val_loss: 0.0311981 | Time: 1249.01 ms
[2022-04-06 14:17:15 main:574] : INFO : Epoch 1839 | loss: 0.0311956 | val_loss: 0.031199 | Time: 1256.83 ms
Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 1660)
[2022-04-06 14:18:11 main:435] : INFO : Set logging level to 1
[2022-04-06 14:18:11 main:441] : INFO : Running in BOINC Client mode
[2022-04-06 14:18:11 main:444] : INFO : Resolving all filenames
[2022-04-06 14:18:11 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1)
[2022-04-06 14:18:11 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1)
[2022-04-06 14:18:11 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0)
[2022-04-06 14:18:11 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1)
[2022-04-06 14:18:11 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1)
[2022-04-06 14:18:11 main:472] : INFO : Dataset filename: dataset.hdf5
[2022-04-06 14:18:11 main:474] : INFO : Configuration:
[2022-04-06 14:18:11 main:475] : INFO : Model type: GRU
[2022-04-06 14:18:11 main:476] : INFO : Validation Loss Threshold: 0.0001
[2022-04-06 14:18:11 main:477] : INFO : Max Epochs: 2048
[2022-04-06 14:18:11 main:478] : INFO : Batch Size: 128
[2022-04-06 14:18:11 main:479] : INFO : Learning Rate: 0.01
[2022-04-06 14:18:11 main:480] : INFO : Patience: 10
[2022-04-06 14:18:11 main:481] : INFO : Hidden Width: 12
[2022-04-06 14:18:11 main:482] : INFO : # Recurrent Layers: 4
[2022-04-06 14:18:11 main:483] : INFO : # Backend Layers: 4
[2022-04-06 14:18:11 main:484] : INFO : # Threads: 1
[2022-04-06 14:18:11 main:486] : INFO : Preparing Dataset
[2022-04-06 14:18:11 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory
[2022-04-06 14:18:11 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory
[2022-04-06 14:18:12 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory.
[2022-04-06 14:18:12 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory
[2022-04-06 14:18:13 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory
[2022-04-06 14:18:13 load:106] : INFO : Successfully loaded dataset of 512 examples into memory.
[2022-04-06 14:18:13 main:494] : INFO : Creating Model
[2022-04-06 14:18:13 main:507] : INFO : Preparing config file
[2022-04-06 14:18:13 main:511] : INFO : Found checkpoint, attempting to load...
[2022-04-06 14:18:13 main:512] : INFO : Loading config
[2022-04-06 14:18:13 main:514] : INFO : Loading state
[2022-04-06 14:18:13 main:559] : INFO : Loading DataLoader into Memory
[2022-04-06 14:18:14 main:562] : INFO : Starting Training
[2022-04-06 14:18:15 main:574] : INFO : Epoch 1831 | loss: 0.0312253 | val_loss: 0.0312049 | Time: 1479.68 ms
[2022-04-06 14:18:16 main:574] : INFO : Epoch 1832 | loss: 0.0311969 | val_loss: 0.0311971 | Time: 1258.49 ms
[2022-04-06 14:18:18 main:574] : INFO : Epoch 1833 | loss: 0.0311977 | val_loss: 0.0311979 | Time: 1254.83 ms
[2022-04-06 14:18:19 main:574] : INFO : Epoch 1834 | loss: 0.0312002 | val_loss: 0.0311974 | Time: 1257.66 ms
[2022-04-06 14:18:20 main:574] : INFO : Epoch 1835 | loss: 0.0311996 | val_loss: 0.0311959 | Time: 1263.44 ms
[2022-04-06 14:18:21 main:574] : INFO : Epoch 1836 | loss: 0.0311979 | val_loss: 0.0311985 | Time: 1264.69 ms
[2022-04-06 14:18:23 main:574] : INFO : Epoch 1837 | loss: 0.0311998 | val_loss: 0.0312028 | Time: 1257.03 ms
[2022-04-06 14:18:24 main:574] : INFO : Epoch 1838 | loss: 0.0311997 | val_loss: 0.0311949 | Time: 1258.75 ms
[2022-04-06 14:18:25 main:574] : INFO : Epoch 1839 | loss: 0.0311973 | val_loss: 0.0311949 | Time: 1259.13 ms
[2022-04-06 14:18:26 main:574] : INFO : Epoch 1840 | loss: 0.0311954 | val_loss: 0.031197 | Time: 1252.16 ms
[2022-04-06 14:18:28 main:574] : INFO : Epoch 1841 | loss: 0.0311954 | val_loss: 0.0311995 | Time: 1264.6 ms
[2022-04-06 14:18:29 main:574] : INFO : Epoch 1842 | loss: 0.0311955 | val_loss: 0.0311959 | Time: 1263.73 ms
[2022-04-06 14:18:30 main:574] : INFO : Epoch 1843 | loss: 0.0311938 | val_loss: 0.0311972 | Time: 1256.41 ms
[2022-04-06 14:18:32 main:574] : INFO : Epoch 1844 | loss: 0.0311935 | val_loss: 0.0311969 | Time: 1258.52 ms
[2022-04-06 14:18:33 main:574] : INFO : Epoch 1845 | loss: 0.0311929 | val_loss: 0.0311977 | Time: 1260.84 ms
[2022-04-06 14:18:34 main:574] : INFO : Epoch 1846 | loss: 0.0311926 | val_loss: 0.0311963 | Time: 1262.09 ms
[2022-04-06 14:18:35 main:574] : INFO : Epoch 1847 | loss: 0.0311922 | val_loss: 0.0311954 | Time: 1263.32 ms
[2022-04-06 14:18:37 main:574] : INFO : Epoch 1848 | loss: 0.0311926 | val_loss: 0.0312009 | Time: 1262.31 ms
[2022-04-06 14:18:38 main:574] : INFO : Epoch 1849 | loss: 0.031194 | val_loss: 0.0311975 | Time: 1259.65 ms
[2022-04-06 14:18:39 main:574] : INFO : Epoch 1850 | loss: 0.031193 | val_loss: 0.0311945 | Time: 1257.77 ms
[2022-04-06 14:18:40 main:574] : INFO : Epoch 1851 | loss: 0.031192 | val_loss: 0.0311963 | Time: 1254.76 ms
[2022-04-06 14:18:42 main:574] : INFO : Epoch 1852 | loss: 0.0311914 | val_loss: 0.0311954 | Time: 1252.65 ms
[2022-04-06 14:18:43 main:574] : INFO : Epoch 1853 | loss: 0.0311898 | val_loss: 0.0311932 | Time: 1262.6 ms
[2022-04-06 14:18:44 main:574] : INFO : Epoch 1854 | loss: 0.0311905 | val_loss: 0.0311941 | Time: 1253.38 ms
[2022-04-06 14:18:45 main:574] : INFO : Epoch 1855 | loss: 0.0311899 | val_loss: 0.0311952 | Time: 1256.2 ms
[2022-04-06 14:18:47 main:574] : INFO : Epoch 1856 | loss: 0.0311938 | val_loss: 0.0311917 | Time: 1262.51 ms
[2022-04-06 14:18:48 main:574] : INFO : Epoch 1857 | loss: 0.0311942 | val_loss: 0.0311901 | Time: 1262.21 ms
[2022-04-06 14:18:49 main:574] : INFO : Epoch 1858 | loss: 0.0311914 | val_loss: 0.0311882 | Time: 1258.5 ms
[2022-04-06 14:18:51 main:574] : INFO : Epoch 1859 | loss: 0.0311897 | val_loss: 0.0311874 | Time: 1256.51 ms
[2022-04-06 14:18:52 main:574] : INFO : Epoch 1860 | loss: 0.0311897 | val_loss: 0.0311873 | Time: 1260.22 ms
[2022-04-06 14:18:53 main:574] : INFO : Epoch 1861 | loss: 0.0311893 | val_loss: 0.0311896 | Time: 1256.03 ms
[2022-04-06 14:18:54 main:574] : INFO : Epoch 1862 | loss: 0.0311892 | val_loss: 0.0311901 | Time: 1257.92 ms
[2022-04-06 14:18:56 main:574] : INFO : Epoch 1863 | loss: 0.0311888 | val_loss: 0.031192 | Time: 1258.02 ms
[2022-04-06 14:18:57 main:574] : INFO : Epoch 1864 | loss: 0.0311867 | val_loss: 0.0311916 | Time: 1262.71 ms
[2022-04-06 14:18:58 main:574] : INFO : Epoch 1865 | loss: 0.0311898 | val_loss: 0.0311928 | Time: 1256.18 ms
[2022-04-06 14:18:59 main:574] : INFO : Epoch 1866 | loss: 0.0311896 | val_loss: 0.0311926 | Time: 1256.05 ms
[2022-04-06 14:19:01 main:574] : INFO : Epoch 1867 | loss: 0.0311894 | val_loss: 0.0311921 | Time: 1266.47 ms
[2022-04-06 14:19:02 main:574] : INFO : Epoch 1868 | loss: 0.0311884 | val_loss: 0.0311908 | Time: 1251.26 ms
[2022-04-06 14:19:03 main:574] : INFO : Epoch 1869 | loss: 0.0311886 | val_loss: 0.0311917 | Time: 1260.77 ms
[2022-04-06 14:19:05 main:574] : INFO : Epoch 1870 | loss: 0.0311886 | val_loss: 0.0311937 | Time: 1266.99 ms
[2022-04-06 14:19:06 main:574] : INFO : Epoch 1871 | loss: 0.0311875 | val_loss: 0.0311937 | Time: 1256.9 ms
[2022-04-06 14:19:07 main:574] : INFO : Epoch 1872 | loss: 0.0311876 | val_loss: 0.0311911 | Time: 1260 ms
[2022-04-06 14:19:08 main:574] : INFO : Epoch 1873 | loss: 0.031187 | val_loss: 0.0311919 | Time: 1255.39 ms
[2022-04-06 14:19:10 main:574] : INFO : Epoch 1874 | loss: 0.0311883 | val_loss: 0.0311924 | Time: 1262.68 ms
[2022-04-06 14:19:11 main:574] : INFO : Epoch 1875 | loss: 0.0311876 | val_loss: 0.0311965 | Time: 1275.77 ms
[2022-04-06 14:19:12 main:574] : INFO : Epoch 1876 | loss: 0.0311886 | val_loss: 0.0311918 | Time: 1258.61 ms
[2022-04-06 14:19:13 main:574] : INFO : Epoch 1877 | loss: 0.0311872 | val_loss: 0.0311925 | Time: 1252.24 ms
[2022-04-06 14:19:15 main:574] : INFO : Epoch 1878 | loss: 0.0311862 | val_loss: 0.0311912 | Time: 1264.45 ms
[2022-04-06 14:19:16 main:574] : INFO : Epoch 1879 | loss: 0.0311861 | val_loss: 0.0311933 | Time: 1263.12 ms
[2022-04-06 14:19:17 main:574] : INFO : Epoch 1880 | loss: 0.0311891 | val_loss: 0.0311945 | Time: 1260.46 ms
[2022-04-06 14:19:19 main:574] : INFO : Epoch 1881 | loss: 0.0311867 | val_loss: 0.0311909 | Time: 1257.53 ms
[2022-04-06 14:19:20 main:574] : INFO : Epoch 1882 | loss: 0.0311873 | val_loss: 0.0311932 | Time: 1261.84 ms
[2022-04-06 14:19:21 main:574] : INFO : Epoch 1883 | loss: 0.031185 | val_loss: 0.0311909 | Time: 1259.63 ms
[2022-04-06 14:19:22 main:574] : INFO : Epoch 1884 | loss: 0.0311847 | val_loss: 0.0311936 | Time: 1290.6 ms
[2022-04-06 14:19:24 main:574] : INFO : Epoch 1885 | loss: 0.0311864 | val_loss: 0.0311935 | Time: 1251.36 ms
[2022-04-06 14:19:25 main:574] : INFO : Epoch 1886 | loss: 0.0311862 | val_loss: 0.0311922 | Time: 1257.51 ms
[2022-04-06 14:19:26 main:574] : INFO : Epoch 1887 | loss: 0.0311871 | val_loss: 0.0311927 | Time: 1255.96 ms
[2022-04-06 14:19:27 main:574] : INFO : Epoch 1888 | loss: 0.0311859 | val_loss: 0.0311931 | Time: 1259.69 ms
[2022-04-06 14:19:29 main:574] : INFO : Epoch 1889 | loss: 0.0311862 | val_loss: 0.0311911 | Time: 1261.02 ms
[2022-04-06 14:19:30 main:574] : INFO : Epoch 1890 | loss: 0.0311863 | val_loss: 0.0311942 | Time: 1257.56 ms
[2022-04-06 14:19:31 main:574] : INFO : Epoch 1891 | loss: 0.0311856 | val_loss: 0.031193 | Time: 1266.23 ms
[2022-04-06 14:19:33 main:574] : INFO : Epoch 1892 | loss: 0.0311851 | val_loss: 0.0311943 | Time: 1257.52 ms
[2022-04-06 14:19:34 main:574] : INFO : Epoch 1893 | loss: 0.0311845 | val_loss: 0.0311924 | Time: 1262.3 ms
[2022-04-06 14:19:35 main:574] : INFO : Epoch 1894 | loss: 0.0311844 | val_loss: 0.0311922 | Time: 1255.74 ms
[2022-04-06 14:19:36 main:574] : INFO : Epoch 1895 | loss: 0.0311856 | val_loss: 0.0311942 | Time: 1258.23 ms
[2022-04-06 14:19:38 main:574] : INFO : Epoch 1896 | loss: 0.031187 | val_loss: 0.0311934 | Time: 1273.13 ms
[2022-04-06 14:19:39 main:574] : INFO : Epoch 1897 | loss: 0.031187 | val_loss: 0.0311971 | Time: 1281.13 ms
[2022-04-06 14:19:40 main:574] : INFO : Epoch 1898 | loss: 0.0311855 | val_loss: 0.0311926 | Time: 1278.76 ms
[2022-04-06 14:19:42 main:574] : INFO : Epoch 1899 | loss: 0.031186 | val_loss: 0.0311968 | Time: 1276.71 ms
[2022-04-06 14:19:43 main:574] : INFO : Epoch 1900 | loss: 0.031189 | val_loss: 0.0311968 | Time: 1280.51 ms
[2022-04-06 14:19:44 main:574] : INFO : Epoch 1901 | loss: 0.0311897 | val_loss: 0.0311967 | Time: 1280.26 ms
[2022-04-06 14:19:45 main:574] : INFO : Epoch 1902 | loss: 0.0311883 | val_loss: 0.0311968 | Time: 1268.72 ms
[2022-04-06 14:19:47 main:574] : INFO : Epoch 1903 | loss: 0.031192 | val_loss: 0.031199 | Time: 1254.42 ms
[2022-04-06 14:19:48 main:574] : INFO : Epoch 1904 | loss: 0.0311896 | val_loss: 0.0311962 | Time: 1274.09 ms
[2022-04-06 14:19:49 main:574] : INFO : Epoch 1905 | loss: 0.0311879 | val_loss: 0.0311953 | Time: 1284.65 ms
[2022-04-06 14:19:51 main:574] : INFO : Epoch 1906 | loss: 0.0311865 | val_loss: 0.0311968 | Time: 1255.85 ms
[2022-04-06 14:19:52 main:574] : INFO : Epoch 1907 | loss: 0.0311875 | val_loss: 0.0311939 | Time: 1257.51 ms
[2022-04-06 14:19:53 main:574] : INFO : Epoch 1908 | loss: 0.0311862 | val_loss: 0.0311948 | Time: 1262.33 ms
[2022-04-06 14:19:54 main:574] : INFO : Epoch 1909 | loss: 0.0311859 | val_loss: 0.0311945 | Time: 1258.36 ms
[2022-04-06 14:19:56 main:574] : INFO : Epoch 1910 | loss: 0.0311854 | val_loss: 0.0311946 | Time: 1259.16 ms
[2022-04-06 14:19:57 main:574] : INFO : Epoch 1911 | loss: 0.0311853 | val_loss: 0.0311946 | Time: 1258.17 ms
[2022-04-06 14:19:58 main:574] : INFO : Epoch 1912 | loss: 0.0311847 | val_loss: 0.0311945 | Time: 1256.41 ms
[2022-04-06 14:19:59 main:574] : INFO : Epoch 1913 | loss: 0.0311848 | val_loss: 0.0311932 | Time: 1256.38 ms
[2022-04-06 14:20:01 main:574] : INFO : Epoch 1914 | loss: 0.0311841 | val_loss: 0.0311918 | Time: 1255.88 ms
[2022-04-06 14:20:02 main:574] : INFO : Epoch 1915 | loss: 0.0311841 | val_loss: 0.0311926 | Time: 1261.72 ms
[2022-04-06 14:20:03 main:574] : INFO : Epoch 1916 | loss: 0.0311844 | val_loss: 0.0311951 | Time: 1273.99 ms
[2022-04-06 14:20:04 main:574] : INFO : Epoch 1917 | loss: 0.031184 | val_loss: 0.0311915 | Time: 1259.02 ms
[2022-04-06 14:20:06 main:574] : INFO : Epoch 1918 | loss: 0.0311832 | val_loss: 0.0311934 | Time: 1268.46 ms
[2022-04-06 14:20:07 main:574] : INFO : Epoch 1919 | loss: 0.0311818 | val_loss: 0.031191 | Time: 1257.94 ms
[2022-04-06 14:20:08 main:574] : INFO : Epoch 1920 | loss: 0.0311831 | val_loss: 0.0311954 | Time: 1261.6 ms
[2022-04-06 14:20:10 main:574] : INFO : Epoch 1921 | loss: 0.0311868 | val_loss: 0.0311935 | Time: 1263.38 ms
[2022-04-06 14:20:11 main:574] : INFO : Epoch 1922 | loss: 0.0311852 | val_loss: 0.0311917 | Time: 1252.55 ms
[2022-04-06 14:20:12 main:574] : INFO : Epoch 1923 | loss: 0.0311845 | val_loss: 0.0311949 | Time: 1257.61 ms
[2022-04-06 14:20:13 main:574] : INFO : Epoch 1924 | loss: 0.0311852 | val_loss: 0.0311921 | Time: 1252.79 ms
[2022-04-06 14:20:15 main:574] : INFO : Epoch 1925 | loss: 0.0311841 | val_loss: 0.0311943 | Time: 1264.03 ms
[2022-04-06 14:20:16 main:574] : INFO : Epoch 1926 | loss: 0.0311846 | val_loss: 0.0311975 | Time: 1262.73 ms
[2022-04-06 14:20:17 main:574] : INFO : Epoch 1927 | loss: 0.0311868 | val_loss: 0.0311927 | Time: 1275.2 ms
[2022-04-06 14:20:18 main:574] : INFO : Epoch 1928 | loss: 0.0311861 | val_loss: 0.0311937 | Time: 1254.84 ms
[2022-04-06 14:20:20 main:574] : INFO : Epoch 1929 | loss: 0.0311857 | val_loss: 0.0311933 | Time: 1256.04 ms
[2022-04-06 14:20:21 main:574] : INFO : Epoch 1930 | loss: 0.0311838 | val_loss: 0.0311915 | Time: 1257 ms
[2022-04-06 14:20:22 main:574] : INFO : Epoch 1931 | loss: 0.0311848 | val_loss: 0.0311942 | Time: 1259.7 ms
[2022-04-06 14:20:24 main:574] : INFO : Epoch 1932 | loss: 0.0311837 | val_loss: 0.0311905 | Time: 1268.61 ms
[2022-04-06 14:20:25 main:574] : INFO : Epoch 1933 | loss: 0.0311838 | val_loss: 0.031192 | Time: 1260.78 ms
[2022-04-06 14:20:26 main:574] : INFO : Epoch 1934 | loss: 0.0311822 | val_loss: 0.0311917 | Time: 1266.29 ms
[2022-04-06 14:20:27 main:574] : INFO : Epoch 1935 | loss: 0.0311829 | val_loss: 0.0311907 | Time: 1263.38 ms
[2022-04-06 14:20:29 main:574] : INFO : Epoch 1936 | loss: 0.031183 | val_loss: 0.0311929 | Time: 1251.75 ms
[2022-04-06 14:20:30 main:574] : INFO : Epoch 1937 | loss: 0.0311827 | val_loss: 0.0311927 | Time: 1266.78 ms
[2022-04-06 14:20:31 main:574] : INFO : Epoch 1938 | loss: 0.0311833 | val_loss: 0.0311911 | Time: 1257.14 ms
[2022-04-06 14:20:32 main:574] : INFO : Epoch 1939 | loss: 0.0311823 | val_loss: 0.0311924 | Time: 1258.56 ms
[2022-04-06 14:20:34 main:574] : INFO : Epoch 1940 | loss: 0.0311826 | val_loss: 0.0311929 | Time: 1264.09 ms
[2022-04-06 14:20:35 main:574] : INFO : Epoch 1941 | loss: 0.0311826 | val_loss: 0.0311922 | Time: 1258.61 ms
[2022-04-06 14:20:36 main:574] : INFO : Epoch 1942 | loss: 0.0311831 | val_loss: 0.0311913 | Time: 1261.77 ms
[2022-04-06 14:20:38 main:574] : INFO : Epoch 1943 | loss: 0.0311813 | val_loss: 0.031191 | Time: 1257.12 ms
[2022-04-06 14:20:39 main:574] : INFO : Epoch 1944 | loss: 0.031183 | val_loss: 0.031195 | Time: 1264.87 ms
[2022-04-06 14:20:40 main:574] : INFO : Epoch 1945 | loss: 0.0311804 | val_loss: 0.0311919 | Time: 1265.62 ms
[2022-04-06 14:20:41 main:574] : INFO : Epoch 1946 | loss: 0.0311843 | val_loss: 0.0311946 | Time: 1256.4 ms
[2022-04-06 14:20:43 main:574] : INFO : Epoch 1947 | loss: 0.0311851 | val_loss: 0.0311925 | Time: 1252.42 ms
[2022-04-06 14:20:44 main:574] : INFO : Epoch 1948 | loss: 0.0311833 | val_loss: 0.0311948 | Time: 1258.4 ms
[2022-04-06 14:20:45 main:574] : INFO : Epoch 1949 | loss: 0.0311821 | val_loss: 0.0311963 | Time: 1260.17 ms
[2022-04-06 14:20:46 main:574] : INFO : Epoch 1950 | loss: 0.0311806 | val_loss: 0.0311958 | Time: 1253.13 ms
[2022-04-06 14:20:48 main:574] : INFO : Epoch 1951 | loss: 0.0311801 | val_loss: 0.0311938 | Time: 1259.09 ms
[2022-04-06 14:20:49 main:574] : INFO : Epoch 1952 | loss: 0.0311803 | val_loss: 0.0311944 | Time: 1262.43 ms
[2022-04-06 14:20:50 main:574] : INFO : Epoch 1953 | loss: 0.0311819 | val_loss: 0.0312093 | Time: 1254.88 ms
[2022-04-06 14:20:52 main:574] : INFO : Epoch 1954 | loss: 0.0311839 | val_loss: 0.0311945 | Time: 1257.16 ms
[2022-04-06 14:20:53 main:574] : INFO : Epoch 1955 | loss: 0.031181 | val_loss: 0.0311945 | Time: 1263.53 ms
[2022-04-06 14:20:54 main:574] : INFO : Epoch 1956 | loss: 0.0311859 | val_loss: 0.0312186 | Time: 1262.55 ms
[2022-04-06 14:20:55 main:574] : INFO : Epoch 1957 | loss: 0.0314142 | val_loss: 0.0312966 | Time: 1254.33 ms
[2022-04-06 14:20:57 main:574] : INFO : Epoch 1958 | loss: 0.0312604 | val_loss: 0.0312334 | Time: 1258.66 ms
[2022-04-06 14:20:58 main:574] : INFO : Epoch 1959 | loss: 0.0312225 | val_loss: 0.0312159 | Time: 1253.11 ms
[2022-04-06 14:20:59 main:574] : INFO : Epoch 1960 | loss: 0.0311876 | val_loss: 0.0311963 | Time: 1261.71 ms
[2022-04-06 14:21:00 main:574] : INFO : Epoch 1961 | loss: 0.0311789 | val_loss: 0.0311977 | Time: 1257.95 ms
[2022-04-06 14:21:02 main:574] : INFO : Epoch 1962 | loss: 0.0311811 | val_loss: 0.0311907 | Time: 1256.01 ms
[2022-04-06 14:21:03 main:574] : INFO : Epoch 1963 | loss: 0.0311824 | val_loss: 0.0311928 | Time: 1262.24 ms
[2022-04-06 14:21:04 main:574] : INFO : Epoch 1964 | loss: 0.0311839 | val_loss: 0.0311989 | Time: 1262.36 ms
[2022-04-06 14:21:06 main:574] : INFO : Epoch 1965 | loss: 0.0311869 | val_loss: 0.0311924 | Time: 1257.85 ms
[2022-04-06 14:21:07 main:574] : INFO : Epoch 1966 | loss: 0.0311799 | val_loss: 0.0311934 | Time: 1257.84 ms
[2022-04-06 14:21:08 main:574] : INFO : Epoch 1967 | loss: 0.0311836 | val_loss: 0.0311954 | Time: 1256.45 ms
[2022-04-06 14:21:09 main:574] : INFO : Epoch 1968 | loss: 0.0311896 | val_loss: 0.0311956 | Time: 1256.84 ms
[2022-04-06 14:21:11 main:574] : INFO : Epoch 1969 | loss: 0.0311908 | val_loss: 0.0311927 | Time: 1259.36 ms
[2022-04-06 14:21:12 main:574] : INFO : Epoch 1970 | loss: 0.0311877 | val_loss: 0.0311934 | Time: 1264.52 ms
[2022-04-06 14:21:13 main:574] : INFO : Epoch 1971 | loss: 0.0311876 | val_loss: 0.0311938 | Time: 1258.18 ms
[2022-04-06 14:21:14 main:574] : INFO : Epoch 1972 | loss: 0.0311883 | val_loss: 0.0311926 | Time: 1257.86 ms
[2022-04-06 14:21:16 main:574] : INFO : Epoch 1973 | loss: 0.031188 | val_loss: 0.0311933 | Time: 1257.07 ms
[2022-04-06 14:21:17 main:574] : INFO : Epoch 1974 | loss: 0.0311889 | val_loss: 0.0311934 | Time: 1256.12 ms
[2022-04-06 14:21:18 main:574] : INFO : Epoch 1975 | loss: 0.0311887 | val_loss: 0.0311972 | Time: 1252.76 ms
[2022-04-06 14:21:19 main:574] : INFO : Epoch 1976 | loss: 0.031188 | val_loss: 0.0311971 | Time: 1259.38 ms
[2022-04-06 14:21:21 main:574] : INFO : Epoch 1977 | loss: 0.0311876 | val_loss: 0.0311942 | Time: 1253.1 ms
[2022-04-06 14:21:22 main:574] : INFO : Epoch 1978 | loss: 0.0311879 | val_loss: 0.031195 | Time: 1258.63 ms
[2022-04-06 14:21:23 main:574] : INFO : Epoch 1979 | loss: 0.0311893 | val_loss: 0.0311967 | Time: 1283.1 ms
[2022-04-06 14:21:25 main:574] : INFO : Epoch 1980 | loss: 0.031192 | val_loss: 0.0311955 | Time: 1255.1 ms
[2022-04-06 14:21:26 main:574] : INFO : Epoch 1981 | loss: 0.0311909 | val_loss: 0.0311958 | Time: 1258.41 ms
[2022-04-06 14:21:27 main:574] : INFO : Epoch 1982 | loss: 0.031193 | val_loss: 0.0312004 | Time: 1266.2 ms
[2022-04-06 14:21:28 main:574] : INFO : Epoch 1983 | loss: 0.0312032 | val_loss: 0.031203 | Time: 1258.64 ms
[2022-04-06 14:21:30 main:574] : INFO : Epoch 1984 | loss: 0.0312016 | val_loss: 0.0311991 | Time: 1255.4 ms
[2022-04-06 14:21:31 main:574] : INFO : Epoch 1985 | loss: 0.0311985 | val_loss: 0.0311974 | Time: 1265.37 ms
[2022-04-06 14:21:32 main:574] : INFO : Epoch 1986 | loss: 0.0311959 | val_loss: 0.031198 | Time: 1277.77 ms
[2022-04-06 14:21:34 main:574] : INFO : Epoch 1987 | loss: 0.0311952 | val_loss: 0.0311976 | Time: 1284.58 ms
[2022-04-06 14:21:35 main:574] : INFO : Epoch 1988 | loss: 0.0311942 | val_loss: 0.0311967 | Time: 1278.4 ms
[2022-04-06 14:21:36 main:574] : INFO : Epoch 1989 | loss: 0.0311935 | val_loss: 0.0311964 | Time: 1279.3 ms
[2022-04-06 14:21:37 main:574] : INFO : Epoch 1990 | loss: 0.031194 | val_loss: 0.0311958 | Time: 1271.6 ms
[2022-04-06 14:21:39 main:574] : INFO : Epoch 1991 | loss: 0.0311938 | val_loss: 0.0311954 | Time: 1284.57 ms
[2022-04-06 14:21:40 main:574] : INFO : Epoch 1992 | loss: 0.0311925 | val_loss: 0.0311973 | Time: 1263.7 ms
[2022-04-06 14:21:41 main:574] : INFO : Epoch 1993 | loss: 0.0311927 | val_loss: 0.0311971 | Time: 1274 ms
[2022-04-06 14:21:43 main:574] : INFO : Epoch 1994 | loss: 0.0311922 | val_loss: 0.0311988 | Time: 1286.36 ms
[2022-04-06 14:21:44 main:574] : INFO : Epoch 1995 | loss: 0.031192 | val_loss: 0.0311971 | Time: 1274.31 ms
[2022-04-06 14:21:45 main:574] : INFO : Epoch 1996 | loss: 0.0311928 | val_loss: 0.0312014 | Time: 1268.14 ms
[2022-04-06 14:21:46 main:574] : INFO : Epoch 1997 | loss: 0.0311927 | val_loss: 0.0311972 | Time: 1257.1 ms
[2022-04-06 14:21:48 main:574] : INFO : Epoch 1998 | loss: 0.0311926 | val_loss: 0.0311944 | Time: 1263.71 ms
[2022-04-06 14:21:49 main:574] : INFO : Epoch 1999 | loss: 0.0311964 | val_loss: 0.0311954 | Time: 1262.35 ms
[2022-04-06 14:21:50 main:574] : INFO : Epoch 2000 | loss: 0.0311969 | val_loss: 0.0311934 | Time: 1266.96 ms
[2022-04-06 14:21:51 main:574] : INFO : Epoch 2001 | loss: 0.0311958 | val_loss: 0.0311931 | Time: 1259.66 ms
[2022-04-06 14:21:53 main:574] : INFO : Epoch 2002 | loss: 0.0311944 | val_loss: 0.0311921 | Time: 1256.5 ms
[2022-04-06 14:21:54 main:574] : INFO : Epoch 2003 | loss: 0.0311941 | val_loss: 0.031191 | Time: 1260.14 ms
[2022-04-06 14:21:55 main:574] : INFO : Epoch 2004 | loss: 0.0311927 | val_loss: 0.0311915 | Time: 1265.67 ms
[2022-04-06 14:21:57 main:574] : INFO : Epoch 2005 | loss: 0.0311926 | val_loss: 0.0311919 | Time: 1342.68 ms
[2022-04-06 14:21:58 main:574] : INFO : Epoch 2006 | loss: 0.0311911 | val_loss: 0.031189 | Time: 1287.71 ms
[2022-04-06 14:21:59 main:574] : INFO : Epoch 2007 | loss: 0.0311905 | val_loss: 0.0311894 | Time: 1291.75 ms
[2022-04-06 14:22:01 main:574] : INFO : Epoch 2008 | loss: 0.0311921 | val_loss: 0.0311892 | Time: 1260.21 ms
[2022-04-06 14:22:02 main:574] : INFO : Epoch 2009 | loss: 0.0311904 | val_loss: 0.0311884 | Time: 1293.88 ms
[2022-04-06 14:22:03 main:574] : INFO : Epoch 2010 | loss: 0.0311914 | val_loss: 0.0311937 | Time: 1258 ms
[2022-04-06 14:22:04 main:574] : INFO : Epoch 2011 | loss: 0.0311934 | val_loss: 0.0311917 | Time: 1260.28 ms
[2022-04-06 14:22:06 main:574] : INFO : Epoch 2012 | loss: 0.0311916 | val_loss: 0.0311912 | Time: 1267.93 ms
[2022-04-06 14:22:07 main:574] : INFO : Epoch 2013 | loss: 0.0311899 | val_loss: 0.0311898 | Time: 1260.36 ms
[2022-04-06 14:22:08 main:574] : INFO : Epoch 2014 | loss: 0.0311891 | val_loss: 0.031189 | Time: 1262.1 ms
[2022-04-06 14:22:09 main:574] : INFO : Epoch 2015 | loss: 0.0311888 | val_loss: 0.031189 | Time: 1258.15 ms
[2022-04-06 14:22:11 main:574] : INFO : Epoch 2016 | loss: 0.0311888 | val_loss: 0.03119 | Time: 1260.54 ms
[2022-04-06 14:22:12 main:574] : INFO : Epoch 2017 | loss: 0.0311884 | val_loss: 0.0311888 | Time: 1253.17 ms
[2022-04-06 14:22:13 main:574] : INFO : Epoch 2018 | loss: 0.0311885 | val_loss: 0.0311904 | Time: 1263.34 ms
[2022-04-06 14:22:15 main:574] : INFO : Epoch 2019 | loss: 0.0311891 | val_loss: 0.0311892 | Time: 1260.74 ms
[2022-04-06 14:22:16 main:574] : INFO : Epoch 2020 | loss: 0.0311882 | val_loss: 0.031189 | Time: 1266 ms
[2022-04-06 14:22:17 main:574] : INFO : Epoch 2021 | loss: 0.0311973 | val_loss: 0.0312042 | Time: 1261.4 ms
[2022-04-06 14:22:18 main:574] : INFO : Epoch 2022 | loss: 0.0311989 | val_loss: 0.031199 | Time: 1254.58 ms
[2022-04-06 14:22:20 main:574] : INFO : Epoch 2023 | loss: 0.0311974 | val_loss: 0.0312003 | Time: 1264.08 ms
[2022-04-06 14:22:21 main:574] : INFO : Epoch 2024 | loss: 0.0311946 | val_loss: 0.0311997 | Time: 1260.67 ms
[2022-04-06 14:22:22 main:574] : INFO : Epoch 2025 | loss: 0.031193 | val_loss: 0.0312011 | Time: 1256.24 ms
[2022-04-06 14:22:23 main:574] : INFO : Epoch 2026 | loss: 0.0311931 | val_loss: 0.0311967 | Time: 1257.16 ms
[2022-04-06 14:22:25 main:574] : INFO : Epoch 2027 | loss: 0.0311923 | val_loss: 0.0311983 | Time: 1262.75 ms
[2022-04-06 14:22:26 main:574] : INFO : Epoch 2028 | loss: 0.0311929 | val_loss: 0.0312006 | Time: 1258.19 ms
[2022-04-06 14:22:27 main:574] : INFO : Epoch 2029 | loss: 0.0311925 | val_loss: 0.031197 | Time: 1255.55 ms
[2022-04-06 14:22:29 main:574] : INFO : Epoch 2030 | loss: 0.0311905 | val_loss: 0.0311971 | Time: 1257.59 ms
[2022-04-06 14:22:30 main:574] : INFO : Epoch 2031 | loss: 0.0311908 | val_loss: 0.0311993 | Time: 1264.26 ms
[2022-04-06 14:22:31 main:574] : INFO : Epoch 2032 | loss: 0.0311923 | val_loss: 0.0311982 | Time: 1260.95 ms
[2022-04-06 14:22:32 main:574] : INFO : Epoch 2033 | loss: 0.0311906 | val_loss: 0.0312004 | Time: 1268.71 ms
[2022-04-06 14:22:34 main:574] : INFO : Epoch 2034 | loss: 0.0311925 | val_loss: 0.0312078 | Time: 1262.94 ms
[2022-04-06 14:22:35 main:574] : INFO : Epoch 2035 | loss: 0.0311906 | val_loss: 0.0311984 | Time: 1261.78 ms
[2022-04-06 14:22:36 main:574] : INFO : Epoch 2036 | loss: 0.0311902 | val_loss: 0.0311989 | Time: 1255.67 ms
[2022-04-06 14:22:37 main:574] : INFO : Epoch 2037 | loss: 0.0311886 | val_loss: 0.0311958 | Time: 1254.17 ms
[2022-04-06 14:22:39 main:574] : INFO : Epoch 2038 | loss: 0.0311888 | val_loss: 0.0311996 | Time: 1258.64 ms
[2022-04-06 14:22:40 main:574] : INFO : Epoch 2039 | loss: 0.0311881 | val_loss: 0.0311974 | Time: 1252.16 ms
[2022-04-06 14:22:41 main:574] : INFO : Epoch 2040 | loss: 0.0311892 | val_loss: 0.0311961 | Time: 1265.17 ms
[2022-04-06 14:22:43 main:574] : INFO : Epoch 2041 | loss: 0.0311894 | val_loss: 0.0311965 | Time: 1256.21 ms
[2022-04-06 14:22:44 main:574] : INFO : Epoch 2042 | loss: 0.0311891 | val_loss: 0.0311983 | Time: 1263.16 ms
[2022-04-06 14:22:45 main:574] : INFO : Epoch 2043 | loss: 0.0311885 | val_loss: 0.0311975 | Time: 1266.88 ms
[2022-04-06 14:22:46 main:574] : INFO : Epoch 2044 | loss: 0.0311876 | val_loss: 0.031196 | Time: 1255.86 ms
[2022-04-06 14:22:48 main:574] : INFO : Epoch 2045 | loss: 0.0311868 | val_loss: 0.031196 | Time: 1264.42 ms
[2022-04-06 14:22:49 main:574] : INFO : Epoch 2046 | loss: 0.0311871 | val_loss: 0.0312001 | Time: 1255.58 ms
[2022-04-06 14:22:50 main:574] : INFO : Epoch 2047 | loss: 0.0311874 | val_loss: 0.0311955 | Time: 1261.08 ms
[2022-04-06 14:22:51 main:574] : INFO : Epoch 2048 | loss: 0.0311867 | val_loss: 0.0311957 | Time: 1278.83 ms
[2022-04-06 14:22:51 main:597] : INFO : Saving trained model to model-final.pt, val_loss 0.0311957
[2022-04-06 14:22:51 main:603] : INFO : Saving end state to config to file
[2022-04-06 14:22:51 main:608] : INFO : Success, exiting..
14:22:51 (8832): 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)