Task 14430784
| Name | ParityModified-1647048334-6100-3-0_0 |
| Workunit | 11474007 |
| Created | 6 Apr 2022, 1:56:45 UTC |
| Sent | 9 Apr 2022, 19:55:35 UTC |
| Report deadline | 17 Apr 2022, 19:55:35 UTC |
| Received | 10 Apr 2022, 19:40:02 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 18276 |
| Run time | 5 hours 39 min 1 sec |
| CPU time | 4 hours 19 min 41 sec |
| Validate state | Valid |
| Credit | 4,160.00 |
| Device peak FLOPS | 1,218.24 GFLOPS |
| Application version | Machine Learning Dataset Generator (GPU) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 2.08 GB |
| Peak swap size | 4.31 GB |
| Peak disk usage | 1.54 GB |
Stderr output
<core_client_version>7.16.20</core_client_version> <![CDATA[ <stderr_txt> [2022-04-10 23:32:37 main:512] : INFO : Loading config [2022-04-10 23:32:37 main:514] : INFO : Loading state [2022-04-10 23:32:39 main:559] : INFO : Loading DataLoader into Memory [2022-04-10 23:32:39 main:562] : INFO : Starting Training Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 1660) [2022-04-10 23:37:04 main:435] : INFO : Set logging level to 1 [2022-04-10 23:37:04 main:441] : INFO : Running in BOINC Client mode [2022-04-10 23:37:04 main:444] : INFO : Resolving all filenames [2022-04-10 23:37:04 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-04-10 23:37:04 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-04-10 23:37:04 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-04-10 23:37:04 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1) [2022-04-10 23:37:04 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-04-10 23:37:04 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-04-10 23:37:04 main:474] : INFO : Configuration: [2022-04-10 23:37:04 main:475] : INFO : Model type: GRU [2022-04-10 23:37:04 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-04-10 23:37:04 main:477] : INFO : Max Epochs: 2048 [2022-04-10 23:37:04 main:478] : INFO : Batch Size: 128 [2022-04-10 23:37:04 main:479] : INFO : Learning Rate: 0.01 [2022-04-10 23:37:04 main:480] : INFO : Patience: 10 [2022-04-10 23:37:04 main:481] : INFO : Hidden Width: 12 [2022-04-10 23:37:04 main:482] : INFO : # Recurrent Layers: 4 [2022-04-10 23:37:04 main:483] : INFO : # Backend Layers: 4 [2022-04-10 23:37:04 main:484] : INFO : # Threads: 1 [2022-04-10 23:37:04 main:486] : INFO : Preparing Dataset [2022-04-10 23:37:04 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-04-10 23:37:05 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory [2022-04-10 23:37:06 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2022-04-10 23:37:06 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory [2022-04-10 23:37:06 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory [2022-04-10 23:37:07 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2022-04-10 23:37:07 main:494] : INFO : Creating Model [2022-04-10 23:37:07 main:507] : INFO : Preparing config file [2022-04-10 23:37:07 main:511] : INFO : Found checkpoint, attempting to load... [2022-04-10 23:37:07 main:512] : INFO : Loading config [2022-04-10 23:37:07 main:514] : INFO : Loading state [2022-04-10 23:37:08 main:559] : INFO : Loading DataLoader into Memory [2022-04-10 23:37:08 main:562] : INFO : Starting Training Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 1660) [2022-04-10 23:43:33 main:435] : INFO : Set logging level to 1 [2022-04-10 23:43:33 main:441] : INFO : Running in BOINC Client mode [2022-04-10 23:43:33 main:444] : INFO : Resolving all filenames [2022-04-10 23:43:33 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-04-10 23:43:33 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-04-10 23:43:33 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-04-10 23:43:33 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1) [2022-04-10 23:43:33 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-04-10 23:43:33 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-04-10 23:43:33 main:474] : INFO : Configuration: [2022-04-10 23:43:33 main:475] : INFO : Model type: GRU [2022-04-10 23:43:33 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-04-10 23:43:33 main:477] : INFO : Max Epochs: 2048 [2022-04-10 23:43:33 main:478] : INFO : Batch Size: 128 [2022-04-10 23:43:33 main:479] : INFO : Learning Rate: 0.01 [2022-04-10 23:43:33 main:480] : INFO : Patience: 10 [2022-04-10 23:43:33 main:481] : INFO : Hidden Width: 12 [2022-04-10 23:43:33 main:482] : INFO : # Recurrent Layers: 4 [2022-04-10 23:43:33 main:483] : INFO : # Backend Layers: 4 [2022-04-10 23:43:33 main:484] : INFO : # Threads: 1 [2022-04-10 23:43:33 main:486] : INFO : Preparing Dataset [2022-04-10 23:43:34 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-04-10 23:43:34 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory [2022-04-10 23:43:36 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2022-04-10 23:43:36 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory [2022-04-10 23:43:36 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory [2022-04-10 23:43:36 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2022-04-10 23:43:36 main:494] : INFO : Creating Model [2022-04-10 23:43:36 main:507] : INFO : Preparing config file [2022-04-10 23:43:36 main:511] : INFO : Found checkpoint, attempting to load... [2022-04-10 23:43:36 main:512] : INFO : Loading config [2022-04-10 23:43:36 main:514] : INFO : Loading state [2022-04-10 23:43:37 main:559] : INFO : Loading DataLoader into Memory [2022-04-10 23:43:37 main:562] : INFO : Starting Training Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 1660) [2022-04-10 23:47:31 main:435] : INFO : Set logging level to 1 [2022-04-10 23:47:31 main:441] : INFO : Running in BOINC Client mode [2022-04-10 23:47:31 main:444] : INFO : Resolving all filenames [2022-04-10 23:47:31 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-04-10 23:47:31 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-04-10 23:47:31 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-04-10 23:47:31 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1) [2022-04-10 23:47:31 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-04-10 23:47:31 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-04-10 23:47:31 main:474] : INFO : Configuration: [2022-04-10 23:47:31 main:475] : INFO : Model type: GRU [2022-04-10 23:47:31 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-04-10 23:47:31 main:477] : INFO : Max Epochs: 2048 [2022-04-10 23:47:31 main:478] : INFO : Batch Size: 128 [2022-04-10 23:47:31 main:479] : INFO : Learning Rate: 0.01 [2022-04-10 23:47:31 main:480] : INFO : Patience: 10 [2022-04-10 23:47:31 main:481] : INFO : Hidden Width: 12 [2022-04-10 23:47:31 main:482] : INFO : # Recurrent Layers: 4 [2022-04-10 23:47:31 main:483] : INFO : # Backend Layers: 4 [2022-04-10 23:47:31 main:484] : INFO : # Threads: 1 [2022-04-10 23:47:31 main:486] : INFO : Preparing Dataset [2022-04-10 23:47:31 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-04-10 23:47:31 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory [2022-04-10 23:47:33 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2022-04-10 23:47:33 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory [2022-04-10 23:47:34 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory [2022-04-10 23:47:34 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2022-04-10 23:47:34 main:494] : INFO : Creating Model [2022-04-10 23:47:34 main:507] : INFO : Preparing config file [2022-04-10 23:47:34 main:511] : INFO : Found checkpoint, attempting to load... [2022-04-10 23:47:34 main:512] : INFO : Loading config [2022-04-10 23:47:34 main:514] : INFO : Loading state [2022-04-10 23:47:35 main:559] : INFO : Loading DataLoader into Memory [2022-04-10 23:47:35 main:562] : INFO : Starting Training Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 1660) [2022-04-11 00:01:12 main:435] : INFO : Set logging level to 1 [2022-04-11 00:01:12 main:441] : INFO : Running in BOINC Client mode [2022-04-11 00:01:12 main:444] : INFO : Resolving all filenames [2022-04-11 00:01:12 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-04-11 00:01:12 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-04-11 00:01:12 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-04-11 00:01:12 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1) [2022-04-11 00:01:12 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-04-11 00:01:12 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-04-11 00:01:12 main:474] : INFO : Configuration: [2022-04-11 00:01:12 main:475] : INFO : Model type: GRU [2022-04-11 00:01:12 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-04-11 00:01:12 main:477] : INFO : Max Epochs: 2048 [2022-04-11 00:01:12 main:478] : INFO : Batch Size: 128 [2022-04-11 00:01:12 main:479] : INFO : Learning Rate: 0.01 [2022-04-11 00:01:12 main:480] : INFO : Patience: 10 [2022-04-11 00:01:12 main:481] : INFO : Hidden Width: 12 [2022-04-11 00:01:12 main:482] : INFO : # Recurrent Layers: 4 [2022-04-11 00:01:12 main:483] : INFO : # Backend Layers: 4 [2022-04-11 00:01:12 main:484] : INFO : # Threads: 1 [2022-04-11 00:01:12 main:486] : INFO : Preparing Dataset [2022-04-11 00:01:12 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-04-11 00:01:12 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory [2022-04-11 00:01:14 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2022-04-11 00:01:14 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory [2022-04-11 00:01:14 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory [2022-04-11 00:01:14 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2022-04-11 00:01:14 main:494] : INFO : Creating Model [2022-04-11 00:01:14 main:507] : INFO : Preparing config file [2022-04-11 00:01:14 main:511] : INFO : Found checkpoint, attempting to load... [2022-04-11 00:01:14 main:512] : INFO : Loading config [2022-04-11 00:01:14 main:514] : INFO : Loading state [2022-04-11 00:01:15 main:559] : INFO : Loading DataLoader into Memory [2022-04-11 00:01:15 main:562] : INFO : Starting Training Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 1660) [2022-04-11 00:06:48 main:435] : INFO : Set logging level to 1 [2022-04-11 00:06:48 main:441] : INFO : Running in BOINC Client mode [2022-04-11 00:06:48 main:444] : INFO : Resolving all filenames [2022-04-11 00:06:48 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-04-11 00:06:48 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-04-11 00:06:48 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-04-11 00:06:48 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1) [2022-04-11 00:06:48 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-04-11 00:06:48 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-04-11 00:06:48 main:474] : INFO : Configuration: [2022-04-11 00:06:48 main:475] : INFO : Model type: GRU [2022-04-11 00:06:48 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-04-11 00:06:48 main:477] : INFO : Max Epochs: 2048 [2022-04-11 00:06:48 main:478] : INFO : Batch Size: 128 [2022-04-11 00:06:48 main:479] : INFO : Learning Rate: 0.01 [2022-04-11 00:06:48 main:480] : INFO : Patience: 10 [2022-04-11 00:06:48 main:481] : INFO : Hidden Width: 12 [2022-04-11 00:06:48 main:482] : INFO : # Recurrent Layers: 4 [2022-04-11 00:06:48 main:483] : INFO : # Backend Layers: 4 [2022-04-11 00:06:48 main:484] : INFO : # Threads: 1 [2022-04-11 00:06:48 main:486] : INFO : Preparing Dataset [2022-04-11 00:06:48 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-04-11 00:06:49 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory [2022-04-11 00:06:51 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2022-04-11 00:06:51 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory [2022-04-11 00:06:51 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory [2022-04-11 00:06:51 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2022-04-11 00:06:51 main:494] : INFO : Creating Model [2022-04-11 00:06:51 main:507] : INFO : Preparing config file [2022-04-11 00:06:51 main:511] : INFO : Found checkpoint, attempting to load... [2022-04-11 00:06:51 main:512] : INFO : Loading config [2022-04-11 00:06:51 main:514] : INFO : Loading state [2022-04-11 00:06:52 main:559] : INFO : Loading DataLoader into Memory [2022-04-11 00:06:52 main:562] : INFO : Starting Training Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 1660) [2022-04-11 00:12:03 main:435] : INFO : Set logging level to 1 [2022-04-11 00:12:03 main:441] : INFO : Running in BOINC Client mode [2022-04-11 00:12:03 main:444] : INFO : Resolving all filenames [2022-04-11 00:12:03 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-04-11 00:12:03 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-04-11 00:12:03 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-04-11 00:12:03 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1) [2022-04-11 00:12:03 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-04-11 00:12:03 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-04-11 00:12:03 main:474] : INFO : Configuration: [2022-04-11 00:12:03 main:475] : INFO : Model type: GRU [2022-04-11 00:12:03 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-04-11 00:12:03 main:477] : INFO : Max Epochs: 2048 [2022-04-11 00:12:03 main:478] : INFO : Batch Size: 128 [2022-04-11 00:12:03 main:479] : INFO : Learning Rate: 0.01 [2022-04-11 00:12:03 main:480] : INFO : Patience: 10 [2022-04-11 00:12:03 main:481] : INFO : Hidden Width: 12 [2022-04-11 00:12:03 main:482] : INFO : # Recurrent Layers: 4 [2022-04-11 00:12:03 main:483] : INFO : # Backend Layers: 4 [2022-04-11 00:12:03 main:484] : INFO : # Threads: 1 [2022-04-11 00:12:03 main:486] : INFO : Preparing Dataset [2022-04-11 00:12:03 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-04-11 00:12:03 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory [2022-04-11 00:12:05 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2022-04-11 00:12:05 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory [2022-04-11 00:12:05 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory [2022-04-11 00:12:05 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2022-04-11 00:12:05 main:494] : INFO : Creating Model [2022-04-11 00:12:05 main:507] : INFO : Preparing config file [2022-04-11 00:12:05 main:511] : INFO : Found checkpoint, attempting to load... [2022-04-11 00:12:05 main:512] : INFO : Loading config [2022-04-11 00:12:05 main:514] : INFO : Loading state [2022-04-11 00:12:07 main:559] : INFO : Loading DataLoader into Memory [2022-04-11 00:12:07 main:562] : INFO : Starting Training Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 1660) [2022-04-11 00:48:47 main:435] : INFO : Set logging level to 1 [2022-04-11 00:48:47 main:441] : INFO : Running in BOINC Client mode [2022-04-11 00:48:47 main:444] : INFO : Resolving all filenames [2022-04-11 00:48:47 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-04-11 00:48:47 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-04-11 00:48:47 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-04-11 00:48:47 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1) [2022-04-11 00:48:47 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-04-11 00:48:47 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-04-11 00:48:47 main:474] : INFO : Configuration: [2022-04-11 00:48:47 main:475] : INFO : Model type: GRU [2022-04-11 00:48:47 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-04-11 00:48:47 main:477] : INFO : Max Epochs: 2048 [2022-04-11 00:48:47 main:478] : INFO : Batch Size: 128 [2022-04-11 00:48:47 main:479] : INFO : Learning Rate: 0.01 [2022-04-11 00:48:47 main:480] : INFO : Patience: 10 [2022-04-11 00:48:47 main:481] : INFO : Hidden Width: 12 [2022-04-11 00:48:47 main:482] : INFO : # Recurrent Layers: 4 [2022-04-11 00:48:47 main:483] : INFO : # Backend Layers: 4 [2022-04-11 00:48:47 main:484] : INFO : # Threads: 1 [2022-04-11 00:48:47 main:486] : INFO : Preparing Dataset [2022-04-11 00:48:47 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-04-11 00:48:47 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory [2022-04-11 00:48:49 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2022-04-11 00:48:49 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory [2022-04-11 00:48:49 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory [2022-04-11 00:48:49 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2022-04-11 00:48:49 main:494] : INFO : Creating Model [2022-04-11 00:48:49 main:507] : INFO : Preparing config file [2022-04-11 00:48:49 main:511] : INFO : Found checkpoint, attempting to load... [2022-04-11 00:48:49 main:512] : INFO : Loading config [2022-04-11 00:48:49 main:514] : INFO : Loading state [2022-04-11 00:48:50 main:559] : INFO : Loading DataLoader into Memory [2022-04-11 00:48:50 main:562] : INFO : Starting Training Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 1660) [2022-04-11 01:00:16 main:435] : INFO : Set logging level to 1 [2022-04-11 01:00:16 main:441] : INFO : Running in BOINC Client mode [2022-04-11 01:00:16 main:444] : INFO : Resolving all filenames [2022-04-11 01:00:16 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-04-11 01:00:16 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-04-11 01:00:16 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-04-11 01:00:16 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1) [2022-04-11 01:00:16 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-04-11 01:00:16 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-04-11 01:00:16 main:474] : INFO : Configuration: [2022-04-11 01:00:16 main:475] : INFO : Model type: GRU [2022-04-11 01:00:16 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-04-11 01:00:16 main:477] : INFO : Max Epochs: 2048 [2022-04-11 01:00:17 main:478] : INFO : Batch Size: 128 [2022-04-11 01:00:17 main:479] : INFO : Learning Rate: 0.01 [2022-04-11 01:00:17 main:480] : INFO : Patience: 10 [2022-04-11 01:00:17 main:481] : INFO : Hidden Width: 12 [2022-04-11 01:00:17 main:482] : INFO : # Recurrent Layers: 4 [2022-04-11 01:00:17 main:483] : INFO : # Backend Layers: 4 [2022-04-11 01:00:17 main:484] : INFO : # Threads: 1 [2022-04-11 01:00:17 main:486] : INFO : Preparing Dataset [2022-04-11 01:00:17 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-04-11 01:00:17 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory [2022-04-11 01:00:19 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2022-04-11 01:00:19 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory [2022-04-11 01:00:19 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory [2022-04-11 01:00:19 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2022-04-11 01:00:19 main:494] : INFO : Creating Model [2022-04-11 01:00:19 main:507] : INFO : Preparing config file [2022-04-11 01:00:19 main:511] : INFO : Found checkpoint, attempting to load... [2022-04-11 01:00:19 main:512] : INFO : Loading config [2022-04-11 01:00:19 main:514] : INFO : Loading state [2022-04-11 01:00:20 main:559] : INFO : Loading DataLoader into Memory [2022-04-11 01:00:20 main:562] : INFO : Starting Training Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 1660) [2022-04-11 01:24:51 main:435] : INFO : Set logging level to 1 [2022-04-11 01:24:51 main:441] : INFO : Running in BOINC Client mode [2022-04-11 01:24:51 main:444] : INFO : Resolving all filenames [2022-04-11 01:24:51 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-04-11 01:24:51 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-04-11 01:24:51 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-04-11 01:24:51 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1) [2022-04-11 01:24:51 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-04-11 01:24:51 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-04-11 01:24:51 main:474] : INFO : Configuration: [2022-04-11 01:24:51 main:475] : INFO : Model type: GRU [2022-04-11 01:24:51 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-04-11 01:24:51 main:477] : INFO : Max Epochs: 2048 [2022-04-11 01:24:51 main:478] : INFO : Batch Size: 128 [2022-04-11 01:24:51 main:479] : INFO : Learning Rate: 0.01 [2022-04-11 01:24:51 main:480] : INFO : Patience: 10 [2022-04-11 01:24:51 main:481] : INFO : Hidden Width: 12 [2022-04-11 01:24:51 main:482] : INFO : # Recurrent Layers: 4 [2022-04-11 01:24:51 main:483] : INFO : # Backend Layers: 4 [2022-04-11 01:24:51 main:484] : INFO : # Threads: 1 [2022-04-11 01:24:51 main:486] : INFO : Preparing Dataset [2022-04-11 01:24:51 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-04-11 01:24:51 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory [2022-04-11 01:24:53 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2022-04-11 01:24:53 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory [2022-04-11 01:24:53 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory [2022-04-11 01:24:53 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2022-04-11 01:24:53 main:494] : INFO : Creating Model [2022-04-11 01:24:53 main:507] : INFO : Preparing config file [2022-04-11 01:24:53 main:511] : INFO : Found checkpoint, attempting to load... [2022-04-11 01:24:53 main:512] : INFO : Loading config [2022-04-11 01:24:53 main:514] : INFO : Loading state [2022-04-11 01:24:55 main:559] : INFO : Loading DataLoader into Memory [2022-04-11 01:24:55 main:562] : INFO : Starting Training Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 1660) [2022-04-11 01:29:08 main:435] : INFO : Set logging level to 1 [2022-04-11 01:29:08 main:441] : INFO : Running in BOINC Client mode [2022-04-11 01:29:08 main:444] : INFO : Resolving all filenames [2022-04-11 01:29:08 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-04-11 01:29:08 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-04-11 01:29:08 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-04-11 01:29:08 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1) [2022-04-11 01:29:08 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-04-11 01:29:08 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-04-11 01:29:08 main:474] : INFO : Configuration: [2022-04-11 01:29:08 main:475] : INFO : Model type: GRU [2022-04-11 01:29:08 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-04-11 01:29:08 main:477] : INFO : Max Epochs: 2048 [2022-04-11 01:29:08 main:478] : INFO : Batch Size: 128 [2022-04-11 01:29:08 main:479] : INFO : Learning Rate: 0.01 [2022-04-11 01:29:08 main:480] : INFO : Patience: 10 [2022-04-11 01:29:08 main:481] : INFO : Hidden Width: 12 [2022-04-11 01:29:08 main:482] : INFO : # Recurrent Layers: 4 [2022-04-11 01:29:08 main:483] : INFO : # Backend Layers: 4 [2022-04-11 01:29:08 main:484] : INFO : # Threads: 1 [2022-04-11 01:29:08 main:486] : INFO : Preparing Dataset [2022-04-11 01:29:08 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-04-11 01:29:08 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory [2022-04-11 01:29:10 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2022-04-11 01:29:10 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory [2022-04-11 01:29:10 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory [2022-04-11 01:29:11 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2022-04-11 01:29:11 main:494] : INFO : Creating Model [2022-04-11 01:29:11 main:507] : INFO : Preparing config file [2022-04-11 01:29:11 main:511] : INFO : Found checkpoint, attempting to load... [2022-04-11 01:29:11 main:512] : INFO : Loading config [2022-04-11 01:29:11 main:514] : INFO : Loading state [2022-04-11 01:29:12 main:559] : INFO : Loading DataLoader into Memory [2022-04-11 01:29:12 main:562] : INFO : Starting Training Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 1660) [2022-04-11 01:53:12 main:435] : INFO : Set logging level to 1 [2022-04-11 01:53:12 main:441] : INFO : Running in BOINC Client mode [2022-04-11 01:53:12 main:444] : INFO : Resolving all filenames [2022-04-11 01:53:12 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-04-11 01:53:12 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-04-11 01:53:12 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-04-11 01:53:12 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1) [2022-04-11 01:53:12 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-04-11 01:53:12 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-04-11 01:53:12 main:474] : INFO : Configuration: [2022-04-11 01:53:12 main:475] : INFO : Model type: GRU [2022-04-11 01:53:12 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-04-11 01:53:12 main:477] : INFO : Max Epochs: 2048 [2022-04-11 01:53:12 main:478] : INFO : Batch Size: 128 [2022-04-11 01:53:12 main:479] : INFO : Learning Rate: 0.01 [2022-04-11 01:53:12 main:480] : INFO : Patience: 10 [2022-04-11 01:53:12 main:481] : INFO : Hidden Width: 12 [2022-04-11 01:53:12 main:482] : INFO : # Recurrent Layers: 4 [2022-04-11 01:53:12 main:483] : INFO : # Backend Layers: 4 [2022-04-11 01:53:12 main:484] : INFO : # Threads: 1 [2022-04-11 01:53:12 main:486] : INFO : Preparing Dataset [2022-04-11 01:53:12 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-04-11 01:53:12 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory [2022-04-11 01:53:14 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2022-04-11 01:53:14 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory [2022-04-11 01:53:14 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory [2022-04-11 01:53:14 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2022-04-11 01:53:14 main:494] : INFO : Creating Model [2022-04-11 01:53:14 main:507] : INFO : Preparing config file [2022-04-11 01:53:14 main:511] : INFO : Found checkpoint, attempting to load... [2022-04-11 01:53:14 main:512] : INFO : Loading config [2022-04-11 01:53:14 main:514] : INFO : Loading state [2022-04-11 01:53:16 main:559] : INFO : Loading DataLoader into Memory [2022-04-11 01:53:16 main:562] : INFO : Starting Training Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 1660) [2022-04-11 02:05:39 main:435] : INFO : Set logging level to 1 [2022-04-11 02:05:39 main:441] : INFO : Running in BOINC Client mode [2022-04-11 02:05:39 main:444] : INFO : Resolving all filenames [2022-04-11 02:05:39 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-04-11 02:05:39 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-04-11 02:05:39 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-04-11 02:05:39 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1) [2022-04-11 02:05:39 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-04-11 02:05:39 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-04-11 02:05:39 main:474] : INFO : Configuration: [2022-04-11 02:05:39 main:475] : INFO : Model type: GRU [2022-04-11 02:05:39 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-04-11 02:05:39 main:477] : INFO : Max Epochs: 2048 [2022-04-11 02:05:39 main:478] : INFO : Batch Size: 128 [2022-04-11 02:05:39 main:479] : INFO : Learning Rate: 0.01 [2022-04-11 02:05:39 main:480] : INFO : Patience: 10 [2022-04-11 02:05:39 main:481] : INFO : Hidden Width: 12 [2022-04-11 02:05:39 main:482] : INFO : # Recurrent Layers: 4 [2022-04-11 02:05:39 main:483] : INFO : # Backend Layers: 4 [2022-04-11 02:05:39 main:484] : INFO : # Threads: 1 [2022-04-11 02:05:39 main:486] : INFO : Preparing Dataset [2022-04-11 02:05:39 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-04-11 02:05:40 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory [2022-04-11 02:05:41 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2022-04-11 02:05:41 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory [2022-04-11 02:05:41 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory [2022-04-11 02:05:41 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2022-04-11 02:05:41 main:494] : INFO : Creating Model [2022-04-11 02:05:41 main:507] : INFO : Preparing config file [2022-04-11 02:05:41 main:511] : INFO : Found checkpoint, attempting to load... [2022-04-11 02:05:41 main:512] : INFO : Loading config [2022-04-11 02:05:41 main:514] : INFO : Loading state [2022-04-11 02:05:42 main:559] : INFO : Loading DataLoader into Memory [2022-04-11 02:05:42 main:562] : INFO : Starting Training [2022-04-11 02:05:53 main:574] : INFO : Epoch 1844 | loss: 0.0314778 | val_loss: 0.0312268 | Time: 10403.1 ms [2022-04-11 02:06:03 main:574] : INFO : Epoch 1845 | loss: 0.0311648 | val_loss: 0.0311553 | Time: 9899.28 ms [2022-04-11 02:06:13 main:574] : INFO : Epoch 1846 | loss: 0.0311363 | val_loss: 0.0311525 | Time: 10018.3 ms [2022-04-11 02:06:23 main:574] : INFO : Epoch 1847 | loss: 0.0311306 | val_loss: 0.0311503 | Time: 10053.6 ms [2022-04-11 02:06:33 main:574] : INFO : Epoch 1848 | loss: 0.0311249 | val_loss: 0.0311457 | Time: 9988.78 ms [2022-04-11 02:06:43 main:574] : INFO : Epoch 1849 | loss: 0.0311268 | val_loss: 0.0311494 | Time: 9876.93 ms [2022-04-11 02:06:52 main:574] : INFO : Epoch 1850 | loss: 0.0311305 | val_loss: 0.0311532 | Time: 9414.05 ms [2022-04-11 02:07:02 main:574] : INFO : Epoch 1851 | loss: 0.0311305 | val_loss: 0.0311475 | Time: 9990.38 ms [2022-04-11 02:07:12 main:574] : INFO : Epoch 1852 | loss: 0.0311287 | val_loss: 0.0311499 | Time: 9633.49 ms [2022-04-11 02:07:21 main:574] : INFO : Epoch 1853 | loss: 0.031128 | val_loss: 0.0311452 | Time: 9518.63 ms [2022-04-11 02:07:31 main:574] : INFO : Epoch 1854 | loss: 0.0311265 | val_loss: 0.0311425 | Time: 9870.88 ms [2022-04-11 02:07:41 main:574] : INFO : Epoch 1855 | loss: 0.031124 | val_loss: 0.0311412 | Time: 9484.57 ms [2022-04-11 02:07:50 main:574] : INFO : Epoch 1856 | loss: 0.0311227 | val_loss: 0.0311432 | Time: 9735.5 ms [2022-04-11 02:08:00 main:574] : INFO : Epoch 1857 | loss: 0.0311217 | val_loss: 0.0311432 | Time: 9501.43 ms [2022-04-11 02:08:10 main:574] : INFO : Epoch 1858 | loss: 0.0311196 | val_loss: 0.0311423 | Time: 9647.09 ms [2022-04-11 02:08:19 main:574] : INFO : Epoch 1859 | loss: 0.0311192 | val_loss: 0.0311431 | Time: 9556.57 ms [2022-04-11 02:08:29 main:574] : INFO : Epoch 1860 | loss: 0.0311184 | val_loss: 0.0311394 | Time: 9520.06 ms [2022-04-11 02:08:39 main:574] : INFO : Epoch 1861 | loss: 0.0311213 | val_loss: 0.0311434 | Time: 9938.87 ms [2022-04-11 02:08:48 main:574] : INFO : Epoch 1862 | loss: 0.0311228 | val_loss: 0.0311475 | Time: 9652.07 ms [2022-04-11 02:08:58 main:574] : INFO : Epoch 1863 | loss: 0.0311236 | val_loss: 0.0311443 | Time: 9770.98 ms [2022-04-11 02:09:08 main:574] : INFO : Epoch 1864 | loss: 0.0311213 | val_loss: 0.031142 | Time: 9702.39 ms [2022-04-11 02:09:17 main:574] : INFO : Epoch 1865 | loss: 0.0311204 | val_loss: 0.0311462 | Time: 9557.92 ms [2022-04-11 02:09:27 main:574] : INFO : Epoch 1866 | loss: 0.0311184 | val_loss: 0.031143 | Time: 9432.72 ms [2022-04-11 02:09:37 main:574] : INFO : Epoch 1867 | loss: 0.0311197 | val_loss: 0.0311465 | Time: 10063.4 ms [2022-04-11 02:09:46 main:574] : INFO : Epoch 1868 | loss: 0.0311177 | val_loss: 0.0311456 | Time: 9601.7 ms [2022-04-11 02:09:56 main:574] : INFO : Epoch 1869 | loss: 0.0311177 | val_loss: 0.0311437 | Time: 9722.54 ms [2022-04-11 02:10:06 main:574] : INFO : Epoch 1870 | loss: 0.0311205 | val_loss: 0.0311446 | Time: 9747.78 ms [2022-04-11 02:10:16 main:574] : INFO : Epoch 1871 | loss: 0.0311196 | val_loss: 0.0311461 | Time: 9854.03 ms [2022-04-11 02:10:26 main:574] : INFO : Epoch 1872 | loss: 0.0311176 | val_loss: 0.0311496 | Time: 9987.07 ms [2022-04-11 02:10:36 main:574] : INFO : Epoch 1873 | loss: 0.0311184 | val_loss: 0.0311459 | Time: 9777.92 ms [2022-04-11 02:10:45 main:574] : INFO : Epoch 1874 | loss: 0.0311187 | val_loss: 0.0311483 | Time: 9650.27 ms [2022-04-11 02:10:55 main:574] : INFO : Epoch 1875 | loss: 0.0311191 | val_loss: 0.0311432 | Time: 9752.9 ms [2022-04-11 02:11:05 main:574] : INFO : Epoch 1876 | loss: 0.031119 | val_loss: 0.0311407 | Time: 9680.71 ms [2022-04-11 02:11:14 main:574] : INFO : Epoch 1877 | loss: 0.0311209 | val_loss: 0.0311439 | Time: 9577.64 ms [2022-04-11 02:11:24 main:574] : INFO : Epoch 1878 | loss: 0.0311208 | val_loss: 0.0311465 | Time: 9414.92 ms [2022-04-11 02:11:34 main:574] : INFO : Epoch 1879 | loss: 0.0311201 | val_loss: 0.0311502 | Time: 9715.78 ms [2022-04-11 02:11:43 main:574] : INFO : Epoch 1880 | loss: 0.0311193 | val_loss: 0.0311445 | Time: 9865.21 ms [2022-04-11 02:11:53 main:574] : INFO : Epoch 1881 | loss: 0.0311224 | val_loss: 0.0311408 | Time: 9850.49 ms [2022-04-11 02:12:03 main:574] : INFO : Epoch 1882 | loss: 0.0311227 | val_loss: 0.0311393 | Time: 9428.36 ms [2022-04-11 02:12:12 main:574] : INFO : Epoch 1883 | loss: 0.0311189 | val_loss: 0.0311427 | Time: 9683.68 ms [2022-04-11 02:12:22 main:574] : INFO : Epoch 1884 | loss: 0.0311194 | val_loss: 0.0311408 | Time: 9746.17 ms [2022-04-11 02:12:32 main:574] : INFO : Epoch 1885 | loss: 0.031118 | val_loss: 0.0311435 | Time: 9536.59 ms [2022-04-11 02:12:42 main:574] : INFO : Epoch 1886 | loss: 0.0311201 | val_loss: 0.031141 | Time: 9801.37 ms [2022-04-11 02:12:51 main:574] : INFO : Epoch 1887 | loss: 0.0311203 | val_loss: 0.0311398 | Time: 9771.63 ms [2022-04-11 02:13:01 main:574] : INFO : Epoch 1888 | loss: 0.0311167 | val_loss: 0.0311414 | Time: 9776.06 ms [2022-04-11 02:13:11 main:574] : INFO : Epoch 1889 | loss: 0.0311184 | val_loss: 0.0311427 | Time: 9823.61 ms [2022-04-11 02:13:20 main:574] : INFO : Epoch 1890 | loss: 0.0311171 | val_loss: 0.0311425 | Time: 9458.81 ms [2022-04-11 02:13:30 main:574] : INFO : Epoch 1891 | loss: 0.031116 | val_loss: 0.0311421 | Time: 9587.39 ms [2022-04-11 02:13:40 main:574] : INFO : Epoch 1892 | loss: 0.0311173 | val_loss: 0.0311474 | Time: 9501.17 ms [2022-04-11 02:13:49 main:574] : INFO : Epoch 1893 | loss: 0.0311177 | val_loss: 0.0311398 | Time: 9774.8 ms [2022-04-11 02:13:59 main:574] : INFO : Epoch 1894 | loss: 0.0311231 | val_loss: 0.031148 | Time: 9793.3 ms [2022-04-11 02:14:09 main:574] : INFO : Epoch 1895 | loss: 0.0311328 | val_loss: 0.0311539 | Time: 9778.83 ms [2022-04-11 02:14:18 main:574] : INFO : Epoch 1896 | loss: 0.0311409 | val_loss: 0.0311471 | Time: 9322.52 ms [2022-04-11 02:14:28 main:574] : INFO : Epoch 1897 | loss: 0.0311326 | val_loss: 0.0311511 | Time: 9554.24 ms [2022-04-11 02:14:38 main:574] : INFO : Epoch 1898 | loss: 0.0311323 | val_loss: 0.0311499 | Time: 9695.75 ms [2022-04-11 02:14:47 main:574] : INFO : Epoch 1899 | loss: 0.0311278 | val_loss: 0.0311495 | Time: 9761.29 ms [2022-04-11 02:14:57 main:574] : INFO : Epoch 1900 | loss: 0.0311255 | val_loss: 0.0311425 | Time: 9501.02 ms [2022-04-11 02:15:07 main:574] : INFO : Epoch 1901 | loss: 0.0311242 | val_loss: 0.0311455 | Time: 9843.17 ms [2022-04-11 02:15:16 main:574] : INFO : Epoch 1902 | loss: 0.0311245 | val_loss: 0.0311418 | Time: 9782.73 ms [2022-04-11 02:15:26 main:574] : INFO : Epoch 1903 | loss: 0.0311227 | val_loss: 0.0311439 | Time: 9812.46 ms [2022-04-11 02:15:36 main:574] : INFO : Epoch 1904 | loss: 0.0311237 | val_loss: 0.0311474 | Time: 9562.44 ms [2022-04-11 02:15:45 main:574] : INFO : Epoch 1905 | loss: 0.0311229 | val_loss: 0.0311455 | Time: 9540.13 ms [2022-04-11 02:15:55 main:574] : INFO : Epoch 1906 | loss: 0.031123 | val_loss: 0.0311442 | Time: 9686.15 ms [2022-04-11 02:16:05 main:574] : INFO : Epoch 1907 | loss: 0.0311201 | val_loss: 0.0311434 | Time: 9855.59 ms [2022-04-11 02:16:15 main:574] : INFO : Epoch 1908 | loss: 0.0311189 | val_loss: 0.0311428 | Time: 9582.4 ms [2022-04-11 02:16:25 main:574] : INFO : Epoch 1909 | loss: 0.0311162 | val_loss: 0.0311469 | Time: 9922.17 ms [2022-04-11 02:16:34 main:574] : INFO : Epoch 1910 | loss: 0.0311172 | val_loss: 0.0311432 | Time: 9473.63 ms [2022-04-11 02:16:43 main:574] : INFO : Epoch 1911 | loss: 0.0311167 | val_loss: 0.0311477 | Time: 9370.22 ms [2022-04-11 02:16:53 main:574] : INFO : Epoch 1912 | loss: 0.0311172 | val_loss: 0.0311415 | Time: 9516.86 ms [2022-04-11 02:17:03 main:574] : INFO : Epoch 1913 | loss: 0.031118 | val_loss: 0.0311438 | Time: 9905.69 ms [2022-04-11 02:17:13 main:574] : INFO : Epoch 1914 | loss: 0.0311144 | val_loss: 0.0311393 | Time: 9887.87 ms [2022-04-11 02:17:22 main:574] : INFO : Epoch 1915 | loss: 0.0311138 | val_loss: 0.0311427 | Time: 9533.24 ms [2022-04-11 02:17:32 main:574] : INFO : Epoch 1916 | loss: 0.0311187 | val_loss: 0.0311455 | Time: 9458.47 ms [2022-04-11 02:17:41 main:574] : INFO : Epoch 1917 | loss: 0.0311183 | val_loss: 0.031147 | Time: 9590.15 ms [2022-04-11 02:17:51 main:574] : INFO : Epoch 1918 | loss: 0.031115 | val_loss: 0.0311418 | Time: 9547.88 ms [2022-04-11 02:18:01 main:574] : INFO : Epoch 1919 | loss: 0.0311148 | val_loss: 0.0311421 | Time: 9792.71 ms [2022-04-11 02:18:10 main:574] : INFO : Epoch 1920 | loss: 0.0311146 | val_loss: 0.0311462 | Time: 9758.44 ms [2022-04-11 02:18:20 main:574] : INFO : Epoch 1921 | loss: 0.0311149 | val_loss: 0.0311444 | Time: 9641.8 ms [2022-04-11 02:18:30 main:574] : INFO : Epoch 1922 | loss: 0.0311135 | val_loss: 0.0311424 | Time: 9709.31 ms [2022-04-11 02:18:40 main:574] : INFO : Epoch 1923 | loss: 0.0311207 | val_loss: 0.0311413 | Time: 9732.52 ms [2022-04-11 02:18:49 main:574] : INFO : Epoch 1924 | loss: 0.0311192 | val_loss: 0.0311442 | Time: 9538.2 ms [2022-04-11 02:18:59 main:574] : INFO : Epoch 1925 | loss: 0.0311167 | val_loss: 0.0311403 | Time: 9865.55 ms [2022-04-11 02:19:09 main:574] : INFO : Epoch 1926 | loss: 0.0311175 | val_loss: 0.0311487 | Time: 9831.42 ms [2022-04-11 02:19:19 main:574] : INFO : Epoch 1927 | loss: 0.0311185 | val_loss: 0.0311442 | Time: 9796.44 ms [2022-04-11 02:19:28 main:574] : INFO : Epoch 1928 | loss: 0.0311213 | val_loss: 0.0311432 | Time: 9722.12 ms [2022-04-11 02:19:38 main:574] : INFO : Epoch 1929 | loss: 0.0311184 | val_loss: 0.0311421 | Time: 9626.99 ms [2022-04-11 02:19:48 main:574] : INFO : Epoch 1930 | loss: 0.0311168 | val_loss: 0.031142 | Time: 9516.66 ms [2022-04-11 02:19:58 main:574] : INFO : Epoch 1931 | loss: 0.031116 | val_loss: 0.0311408 | Time: 9942.13 ms [2022-04-11 02:20:07 main:574] : INFO : Epoch 1932 | loss: 0.0311172 | val_loss: 0.0311389 | Time: 9385.69 ms [2022-04-11 02:20:17 main:574] : INFO : Epoch 1933 | loss: 0.0311221 | val_loss: 0.0311442 | Time: 9816.84 ms [2022-04-11 02:20:26 main:574] : INFO : Epoch 1934 | loss: 0.0311216 | val_loss: 0.0311425 | Time: 9654.79 ms [2022-04-11 02:20:36 main:574] : INFO : Epoch 1935 | loss: 0.0311181 | val_loss: 0.03115 | Time: 9897.07 ms [2022-04-11 02:20:46 main:574] : INFO : Epoch 1936 | loss: 0.0311217 | val_loss: 0.0311422 | Time: 9861.95 ms [2022-04-11 02:20:56 main:574] : INFO : Epoch 1937 | loss: 0.0311166 | val_loss: 0.0311461 | Time: 9896.98 ms [2022-04-11 02:21:06 main:574] : INFO : Epoch 1938 | loss: 0.0311139 | val_loss: 0.0311412 | Time: 9562.03 ms [2022-04-11 02:21:15 main:574] : INFO : Epoch 1939 | loss: 0.0311124 | val_loss: 0.031146 | Time: 9425.28 ms [2022-04-11 02:21:25 main:574] : INFO : Epoch 1940 | loss: 0.0311108 | val_loss: 0.0311424 | Time: 9816.36 ms [2022-04-11 02:21:35 main:574] : INFO : Epoch 1941 | loss: 0.0311111 | val_loss: 0.031149 | Time: 9770.79 ms [2022-04-11 02:21:44 main:574] : INFO : Epoch 1942 | loss: 0.0311143 | val_loss: 0.0311434 | Time: 9520.14 ms [2022-04-11 02:21:54 main:574] : INFO : Epoch 1943 | loss: 0.031113 | val_loss: 0.0311424 | Time: 9380.89 ms [2022-04-11 02:22:03 main:574] : INFO : Epoch 1944 | loss: 0.0311097 | val_loss: 0.0311429 | Time: 9558.72 ms [2022-04-11 02:22:13 main:574] : INFO : Epoch 1945 | loss: 0.0311098 | val_loss: 0.0311457 | Time: 9610.24 ms [2022-04-11 02:22:23 main:574] : INFO : Epoch 1946 | loss: 0.0311108 | val_loss: 0.0311369 | Time: 9669.58 ms [2022-04-11 02:22:32 main:574] : INFO : Epoch 1947 | loss: 0.0311163 | val_loss: 0.031144 | Time: 9441.4 ms [2022-04-11 02:22:42 main:574] : INFO : Epoch 1948 | loss: 0.031121 | val_loss: 0.0311381 | Time: 9548.87 ms [2022-04-11 02:22:51 main:574] : INFO : Epoch 1949 | loss: 0.0311146 | val_loss: 0.031142 | Time: 9761.7 ms [2022-04-11 02:23:01 main:574] : INFO : Epoch 1950 | loss: 0.0311144 | val_loss: 0.0311432 | Time: 9674.08 ms [2022-04-11 02:23:11 main:574] : INFO : Epoch 1951 | loss: 0.0311142 | val_loss: 0.0311408 | Time: 9627.08 ms [2022-04-11 02:23:20 main:574] : INFO : Epoch 1952 | loss: 0.0311149 | val_loss: 0.0311412 | Time: 9764.28 ms [2022-04-11 02:23:30 main:574] : INFO : Epoch 1953 | loss: 0.0311164 | val_loss: 0.0311392 | Time: 9660.71 ms [2022-04-11 02:23:40 main:574] : INFO : Epoch 1954 | loss: 0.0311117 | val_loss: 0.0311429 | Time: 9662.85 ms [2022-04-11 02:23:50 main:574] : INFO : Epoch 1955 | loss: 0.0311124 | val_loss: 0.0311388 | Time: 9975.06 ms [2022-04-11 02:24:00 main:574] : INFO : Epoch 1956 | loss: 0.0311147 | val_loss: 0.0311395 | Time: 9836.95 ms [2022-04-11 02:24:09 main:574] : INFO : Epoch 1957 | loss: 0.0311139 | val_loss: 0.0311424 | Time: 9439.62 ms [2022-04-11 02:24:19 main:574] : INFO : Epoch 1958 | loss: 0.0311134 | val_loss: 0.03114 | Time: 9605.24 ms [2022-04-11 02:24:28 main:574] : INFO : Epoch 1959 | loss: 0.0311098 | val_loss: 0.0311434 | Time: 9710.32 ms [2022-04-11 02:24:38 main:574] : INFO : Epoch 1960 | loss: 0.0311075 | val_loss: 0.0311401 | Time: 9678.86 ms [2022-04-11 02:24:48 main:574] : INFO : Epoch 1961 | loss: 0.0311098 | val_loss: 0.0311397 | Time: 9499.93 ms [2022-04-11 02:24:57 main:574] : INFO : Epoch 1962 | loss: 0.0311089 | val_loss: 0.0311396 | Time: 9790.2 ms [2022-04-11 02:25:07 main:574] : INFO : Epoch 1963 | loss: 0.0311087 | val_loss: 0.0311454 | Time: 9766.75 ms [2022-04-11 02:25:17 main:574] : INFO : Epoch 1964 | loss: 0.0311068 | val_loss: 0.0311416 | Time: 9591.66 ms [2022-04-11 02:25:27 main:574] : INFO : Epoch 1965 | loss: 0.03111 | val_loss: 0.0311462 | Time: 9729.43 ms [2022-04-11 02:25:36 main:574] : INFO : Epoch 1966 | loss: 0.0311159 | val_loss: 0.0311423 | Time: 9821.17 ms [2022-04-11 02:25:46 main:574] : INFO : Epoch 1967 | loss: 0.031114 | val_loss: 0.0311431 | Time: 9366.51 ms [2022-04-11 02:25:55 main:574] : INFO : Epoch 1968 | loss: 0.0311288 | val_loss: 0.0311397 | Time: 9707.29 ms [2022-04-11 02:26:05 main:574] : INFO : Epoch 1969 | loss: 0.0311238 | val_loss: 0.0311401 | Time: 9650.61 ms [2022-04-11 02:26:15 main:574] : INFO : Epoch 1970 | loss: 0.0311212 | val_loss: 0.0311434 | Time: 9866.39 ms [2022-04-11 02:26:25 main:574] : INFO : Epoch 1971 | loss: 0.0311189 | val_loss: 0.0311397 | Time: 9686.19 ms [2022-04-11 02:26:35 main:574] : INFO : Epoch 1972 | loss: 0.0311211 | val_loss: 0.0311422 | Time: 10021.6 ms [2022-04-11 02:26:44 main:574] : INFO : Epoch 1973 | loss: 0.0311213 | val_loss: 0.0311393 | Time: 9628.4 ms [2022-04-11 02:26:54 main:574] : INFO : Epoch 1974 | loss: 0.0311192 | val_loss: 0.0311436 | Time: 9796.23 ms [2022-04-11 02:27:04 main:574] : INFO : Epoch 1975 | loss: 0.0311152 | val_loss: 0.0311426 | Time: 9497.64 ms [2022-04-11 02:27:13 main:574] : INFO : Epoch 1976 | loss: 0.031116 | val_loss: 0.0311442 | Time: 9634.78 ms [2022-04-11 02:27:23 main:574] : INFO : Epoch 1977 | loss: 0.0311174 | val_loss: 0.0311402 | Time: 9591.06 ms [2022-04-11 02:27:33 main:574] : INFO : Epoch 1978 | loss: 0.0311157 | val_loss: 0.0311374 | Time: 9781.53 ms [2022-04-11 02:27:43 main:574] : INFO : Epoch 1979 | loss: 0.0311171 | val_loss: 0.0311435 | Time: 9907.3 ms [2022-04-11 02:27:52 main:574] : INFO : Epoch 1980 | loss: 0.031118 | val_loss: 0.0311385 | Time: 9712.74 ms [2022-04-11 02:28:02 main:574] : INFO : Epoch 1981 | loss: 0.0311144 | val_loss: 0.0311399 | Time: 9894.67 ms [2022-04-11 02:28:12 main:574] : INFO : Epoch 1982 | loss: 0.0311139 | val_loss: 0.0311401 | Time: 9871.4 ms [2022-04-11 02:28:22 main:574] : INFO : Epoch 1983 | loss: 0.0311124 | val_loss: 0.0311412 | Time: 9910.84 ms [2022-04-11 02:28:32 main:574] : INFO : Epoch 1984 | loss: 0.0311109 | val_loss: 0.0311452 | Time: 9883.26 ms [2022-04-11 02:28:42 main:574] : INFO : Epoch 1985 | loss: 0.0311087 | val_loss: 0.0311395 | Time: 9712.23 ms [2022-04-11 02:28:52 main:574] : INFO : Epoch 1986 | loss: 0.0311107 | val_loss: 0.0311429 | Time: 9861.3 ms [2022-04-11 02:29:01 main:574] : INFO : Epoch 1987 | loss: 0.0311084 | val_loss: 0.0311429 | Time: 9789.41 ms [2022-04-11 02:29:11 main:574] : INFO : Epoch 1988 | loss: 0.0311076 | val_loss: 0.0311398 | Time: 9804.5 ms [2022-04-11 02:29:21 main:574] : INFO : Epoch 1989 | loss: 0.0311106 | val_loss: 0.0311398 | Time: 9883.51 ms [2022-04-11 02:29:31 main:574] : INFO : Epoch 1990 | loss: 0.0311087 | val_loss: 0.0311405 | Time: 9781.09 ms [2022-04-11 02:29:40 main:574] : INFO : Epoch 1991 | loss: 0.0311098 | val_loss: 0.0311388 | Time: 9530.67 ms [2022-04-11 02:29:50 main:574] : INFO : Epoch 1992 | loss: 0.0311104 | val_loss: 0.0311396 | Time: 9910.38 ms [2022-04-11 02:30:00 main:574] : INFO : Epoch 1993 | loss: 0.0311149 | val_loss: 0.0311399 | Time: 9735.72 ms [2022-04-11 02:30:10 main:574] : INFO : Epoch 1994 | loss: 0.0311126 | val_loss: 0.0311389 | Time: 9820.63 ms [2022-04-11 02:30:20 main:574] : INFO : Epoch 1995 | loss: 0.0311089 | val_loss: 0.0311375 | Time: 9494.81 ms [2022-04-11 02:30:29 main:574] : INFO : Epoch 1996 | loss: 0.0311073 | val_loss: 0.0311385 | Time: 9722.66 ms [2022-04-11 02:30:39 main:574] : INFO : Epoch 1997 | loss: 0.0311072 | val_loss: 0.0311366 | Time: 9823.67 ms [2022-04-11 02:30:49 main:574] : INFO : Epoch 1998 | loss: 0.0311109 | val_loss: 0.0311414 | Time: 9950.21 ms [2022-04-11 02:30:59 main:574] : INFO : Epoch 1999 | loss: 0.0311116 | val_loss: 0.0311481 | Time: 9626.81 ms [2022-04-11 02:31:09 main:574] : INFO : Epoch 2000 | loss: 0.0311216 | val_loss: 0.0311481 | Time: 9866.37 ms [2022-04-11 02:31:18 main:574] : INFO : Epoch 2001 | loss: 0.0311218 | val_loss: 0.0311468 | Time: 9673.2 ms [2022-04-11 02:31:28 main:574] : INFO : Epoch 2002 | loss: 0.0311202 | val_loss: 0.0311411 | Time: 9685.7 ms [2022-04-11 02:31:38 main:574] : INFO : Epoch 2003 | loss: 0.0311205 | val_loss: 0.0311438 | Time: 9672.4 ms [2022-04-11 02:31:47 main:574] : INFO : Epoch 2004 | loss: 0.0311212 | val_loss: 0.0311472 | Time: 9714.44 ms [2022-04-11 02:31:57 main:574] : INFO : Epoch 2005 | loss: 0.0311188 | val_loss: 0.0311455 | Time: 9429.65 ms [2022-04-11 02:32:07 main:574] : INFO : Epoch 2006 | loss: 0.0311152 | val_loss: 0.031142 | Time: 9723.02 ms [2022-04-11 02:32:16 main:574] : INFO : Epoch 2007 | loss: 0.0311129 | val_loss: 0.0311403 | Time: 9708.32 ms [2022-04-11 02:32:26 main:574] : INFO : Epoch 2008 | loss: 0.0311135 | val_loss: 0.0311405 | Time: 9561.32 ms [2022-04-11 02:32:36 main:574] : INFO : Epoch 2009 | loss: 0.0311151 | val_loss: 0.0311413 | Time: 10118.6 ms [2022-04-11 02:32:46 main:574] : INFO : Epoch 2010 | loss: 0.0311174 | val_loss: 0.0311448 | Time: 10026.5 ms [2022-04-11 02:32:56 main:574] : INFO : Epoch 2011 | loss: 0.031117 | val_loss: 0.0311441 | Time: 10257.9 ms [2022-04-11 02:33:06 main:574] : INFO : Epoch 2012 | loss: 0.0311134 | val_loss: 0.031142 | Time: 10103.9 ms [2022-04-11 02:33:16 main:574] : INFO : Epoch 2013 | loss: 0.0311163 | val_loss: 0.0311459 | Time: 9996.7 ms [2022-04-11 02:33:26 main:574] : INFO : Epoch 2014 | loss: 0.0311256 | val_loss: 0.03114 | Time: 9833.44 ms [2022-04-11 02:33:36 main:574] : INFO : Epoch 2015 | loss: 0.0311181 | val_loss: 0.0311435 | Time: 9945.66 ms [2022-04-11 02:33:46 main:574] : INFO : Epoch 2016 | loss: 0.0311186 | val_loss: 0.0311477 | Time: 9627.58 ms [2022-04-11 02:33:56 main:574] : INFO : Epoch 2017 | loss: 0.0311156 | val_loss: 0.0311402 | Time: 9778.65 ms [2022-04-11 02:34:05 main:574] : INFO : Epoch 2018 | loss: 0.0311118 | val_loss: 0.031141 | Time: 9460.6 ms [2022-04-11 02:34:15 main:574] : INFO : Epoch 2019 | loss: 0.0311118 | val_loss: 0.0311412 | Time: 10359.5 ms [2022-04-11 02:34:25 main:574] : INFO : Epoch 2020 | loss: 0.0311125 | val_loss: 0.0311431 | Time: 9929.7 ms [2022-04-11 02:34:35 main:574] : INFO : Epoch 2021 | loss: 0.0311113 | val_loss: 0.0311417 | Time: 10018.4 ms [2022-04-11 02:34:45 main:574] : INFO : Epoch 2022 | loss: 0.0311112 | val_loss: 0.03114 | Time: 9929.46 ms [2022-04-11 02:34:55 main:574] : INFO : Epoch 2023 | loss: 0.0311119 | val_loss: 0.0311409 | Time: 9927.38 ms [2022-04-11 02:35:05 main:574] : INFO : Epoch 2024 | loss: 0.0311096 | val_loss: 0.0311411 | Time: 9588.69 ms [2022-04-11 02:35:15 main:574] : INFO : Epoch 2025 | loss: 0.0311113 | val_loss: 0.0311487 | Time: 9606.35 ms [2022-04-11 02:35:24 main:574] : INFO : Epoch 2026 | loss: 0.0311133 | val_loss: 0.0311389 | Time: 9667.11 ms [2022-04-11 02:35:34 main:574] : INFO : Epoch 2027 | loss: 0.0311115 | val_loss: 0.0311434 | Time: 10104.2 ms [2022-04-11 02:35:44 main:574] : INFO : Epoch 2028 | loss: 0.0311113 | val_loss: 0.0311433 | Time: 9333.58 ms [2022-04-11 02:35:53 main:574] : INFO : Epoch 2029 | loss: 0.0311148 | val_loss: 0.0311457 | Time: 9621.27 ms [2022-04-11 02:36:03 main:574] : INFO : Epoch 2030 | loss: 0.0311092 | val_loss: 0.0311433 | Time: 9719.42 ms [2022-04-11 02:36:13 main:574] : INFO : Epoch 2031 | loss: 0.0311085 | val_loss: 0.0311411 | Time: 9700.55 ms [2022-04-11 02:36:23 main:574] : INFO : Epoch 2032 | loss: 0.0311077 | val_loss: 0.0311381 | Time: 10684.7 ms [2022-04-11 02:36:33 main:574] : INFO : Epoch 2033 | loss: 0.0311072 | val_loss: 0.0311496 | Time: 9680.58 ms [2022-04-11 02:36:43 main:574] : INFO : Epoch 2034 | loss: 0.0311221 | val_loss: 0.0311468 | Time: 10078.2 ms [2022-04-11 02:36:53 main:574] : INFO : Epoch 2035 | loss: 0.0311217 | val_loss: 0.0311478 | Time: 9694.59 ms [2022-04-11 02:37:03 main:574] : INFO : Epoch 2036 | loss: 0.0311223 | val_loss: 0.0311443 | Time: 9982.14 ms [2022-04-11 02:37:13 main:574] : INFO : Epoch 2037 | loss: 0.0311171 | val_loss: 0.0311438 | Time: 9956.61 ms [2022-04-11 02:37:23 main:574] : INFO : Epoch 2038 | loss: 0.0311176 | val_loss: 0.0311431 | Time: 9880.74 ms [2022-04-11 02:37:33 main:574] : INFO : Epoch 2039 | loss: 0.0311147 | val_loss: 0.0311417 | Time: 10246 ms [2022-04-11 02:37:43 main:574] : INFO : Epoch 2040 | loss: 0.0311117 | val_loss: 0.0311391 | Time: 9701.94 ms [2022-04-11 02:37:53 main:574] : INFO : Epoch 2041 | loss: 0.031113 | val_loss: 0.0311378 | Time: 9785.29 ms [2022-04-11 02:38:03 main:574] : INFO : Epoch 2042 | loss: 0.0311135 | val_loss: 0.0311425 | Time: 10027.2 ms [2022-04-11 02:38:13 main:574] : INFO : Epoch 2043 | loss: 0.0311136 | val_loss: 0.0311427 | Time: 9986.98 ms [2022-04-11 02:38:23 main:574] : INFO : Epoch 2044 | loss: 0.0311126 | val_loss: 0.0311451 | Time: 9969.03 ms [2022-04-11 02:38:32 main:574] : INFO : Epoch 2045 | loss: 0.0311109 | val_loss: 0.0311392 | Time: 9647.03 ms [2022-04-11 02:38:42 main:574] : INFO : Epoch 2046 | loss: 0.031113 | val_loss: 0.0311426 | Time: 9674.29 ms [2022-04-11 02:38:52 main:574] : INFO : Epoch 2047 | loss: 0.0311122 | val_loss: 0.0311486 | Time: 9815.57 ms [2022-04-11 02:39:01 main:574] : INFO : Epoch 2048 | loss: 0.0311122 | val_loss: 0.0311453 | Time: 9522.61 ms [2022-04-11 02:39:01 main:597] : INFO : Saving trained model to model-final.pt, val_loss 0.0311453 [2022-04-11 02:39:01 main:603] : INFO : Saving end state to config to file [2022-04-11 02:39:01 main:608] : INFO : Success, exiting.. 02:39:01 (8268): 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)