Task 13810411

Name ParityModified-1647049340-2941-2-0_0
Workunit 10893067
Created 26 Mar 2022, 17:31:20 UTC
Sent 1 Apr 2022, 22:18:02 UTC
Report deadline 9 Apr 2022, 22:18:02 UTC
Received 7 Apr 2022, 21:17:49 UTC
Server state Over
Outcome Success
Client state Done
Exit status 0 (0x00000000)
Computer ID 6170
Run time 6 hours 44 min 23 sec
CPU time 5 hours 55 min 21 sec
Validate state Valid
Credit 4,160.00
Device peak FLOPS 1,130.52 GFLOPS
Application version Machine Learning Dataset Generator (GPU) v9.75 (cuda10200)
windows_x86_64
Peak working set size 1.62 GB
Peak swap size 3.57 GB
Peak disk usage 1.54 GB

Stderr output

<core_client_version>7.16.20</core_client_version>
<![CDATA[
<stderr_txt>
0.0311198 | val_loss: 0.0311579 | Time: 15523.1 ms
[2022-04-07 00:11:19	                main:574]	:	INFO	:	Epoch 1756 | loss: 0.0311226 | val_loss: 0.0311514 | Time: 13040.5 ms
[2022-04-07 00:11:35	                main:574]	:	INFO	:	Epoch 1757 | loss: 0.0311189 | val_loss: 0.0311537 | Time: 15715.5 ms
[2022-04-07 00:11:47	                main:574]	:	INFO	:	Epoch 1758 | loss: 0.0311152 | val_loss: 0.0311516 | Time: 11836.5 ms
[2022-04-07 00:12:00	                main:574]	:	INFO	:	Epoch 1759 | loss: 0.0311108 | val_loss: 0.0311519 | Time: 12610.7 ms
[2022-04-07 00:12:10	                main:574]	:	INFO	:	Epoch 1760 | loss: 0.0311088 | val_loss: 0.0311539 | Time: 10112.5 ms
[2022-04-07 00:12:25	                main:574]	:	INFO	:	Epoch 1761 | loss: 0.0311055 | val_loss: 0.0311489 | Time: 15311.7 ms
[2022-04-07 00:12:39	                main:574]	:	INFO	:	Epoch 1762 | loss: 0.0311059 | val_loss: 0.0311491 | Time: 13460.2 ms
Machine Learning Dataset Generator vMachine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GT 1030)
[2022-04-07 12:48:07	                main:435]	:	INFO	:	Set logging level to 1
[2022-04-07 12:48:07	                main:441]	:	INFO	:	Running in BOINC Client mode
[2022-04-07 12:48:07	                main:444]	:	INFO	:	Resolving all filenames
[2022-04-07 12:48:07	                main:452]	:	INFO	:	Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1)
[2022-04-07 12:48:07	                main:452]	:	INFO	:	Resolved: model.cfg => model.cfg (exists = 1)
[2022-04-07 12:48:07	                main:452]	:	INFO	:	Resolved: model-final.pt => model-final.pt (exists = 0)
[2022-04-07 12:48:07	                main:452]	:	INFO	:	Resolved: model-input.pt => model-input.pt (exists = 1)
[2022-04-07 12:48:07	                main:452]	:	INFO	:	Resolved: snapshot.pt => snapshot.pt (exists = 1)
[2022-04-07 12:48:07	                main:472]	:	INFO	:	Dataset filename: dataset.hdf5
[2022-04-07 12:48:07	                main:474]	:	INFO	:	Configuration: 
[2022-04-07 12:48:07	                main:475]	:	INFO	:	    Model type: GRU
[2022-04-07 12:48:07	                main:476]	:	INFO	:	    Validation Loss Threshold: 0.0001
[2022-04-07 12:48:07	                main:477]	:	INFO	:	    Max Epochs: 2048
[2022-04-07 12:48:07	                main:478]	:	INFO	:	    Batch Size: 128
[2022-04-07 12:48:07	                main:479]	:	INFO	:	    Learning Rate: 0.01
[2022-04-07 12:48:07	                main:480]	:	INFO	:	    Patience: 10
[2022-04-07 12:48:07	                main:481]	:	INFO	:	    Hidden Width: 12
[2022-04-07 12:48:07	                main:482]	:	INFO	:	    # Recurrent Layers: 4
[2022-04-07 12:48:07	                main:483]	:	INFO	:	    # Backend Layers: 4
[2022-04-07 12:48:07	                main:484]	:	INFO	:	    # Threads: 1
[2022-04-07 12:48:08	                main:486]	:	INFO	:	Preparing Dataset
[2022-04-07 12:48:08	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Xt from dataset.hdf5 into memory
[2022-04-07 12:48:09	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Yt from dataset.hdf5 into memory
[2022-04-07 12:48:16	                load:106]	:	INFO	:	Successfully loaded dataset of 2048 examples into memory.
[2022-04-07 12:48:16	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Xv from dataset.hdf5 into memory
[2022-04-07 12:48:17	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Yv from dataset.hdf5 into memory
[2022-04-07 12:48:17	                load:106]	:	INFO	:	Successfully loaded dataset of 512 examples into memory.
[2022-04-07 12:48:17	                main:494]	:	INFO	:	Creating Model
[2022-04-07 12:48:17	                main:507]	:	INFO	:	Preparing config file
[2022-04-07 12:48:17	                main:511]	:	INFO	:	Found checkpoint, attempting to load... 
[2022-04-07 12:48:17	                main:512]	:	INFO	:	Loading config
[2022-04-07 12:48:17	                main:514]	:	INFO	:	Loading state
Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GT 1030)
[2022-04-07 12:50:20	                main:435]	:	INFO	:	Set logging level to 1
[2022-04-07 12:50:20	                main:441]	:	INFO	:	Running in BOINC Client mode
[2022-04-07 12:50:20	                main:444]	:	INFO	:	Resolving all filenames
[2022-04-07 12:50:20	                main:452]	:	INFO	:	Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1)
[2022-04-07 12:50:20	                main:452]	:	INFO	:	Resolved: model.cfg => model.cfg (exists = 1)
[2022-04-07 12:50:20	                main:452]	:	INFO	:	Resolved: model-final.pt => model-final.pt (exists = 0)
[2022-04-07 12:50:20	                main:452]	:	INFO	:	Resolved: model-input.pt => model-input.pt (exists = 1)
[2022-04-07 12:50:20	                main:452]	:	INFO	:	Resolved: snapshot.pt => snapshot.pt (exists = 1)
[2022-04-07 12:50:20	                main:472]	:	INFO	:	Dataset filename: dataset.hdf5
[2022-04-07 12:50:20	                main:474]	:	INFO	:	Configuration: 
[2022-04-07 12:50:20	                main:475]	:	INFO	:	    Model type: GRU
[2022-04-07 12:50:20	                main:476]	:	INFO	:	    Validation Loss Threshold: 0.0001
[2022-04-07 12:50:20	                main:477]	:	INFO	:	    Max Epochs: 2048
[2022-04-07 12:50:20	                main:478]	:	INFO	:	    Batch Size: 128
[2022-04-07 12:50:21	                main:479]	:	INFO	:	    Learning Rate: 0.01
[2022-04-07 12:50:21	                main:480]	:	INFO	:	    Patience: 10
[2022-04-07 12:50:21	                main:481]	:	INFO	:	    Hidden Width: 12
[2022-04-07 12:50:21	                main:482]	:	INFO	:	    # Recurrent Layers: 4
[2022-04-07 12:50:21	                main:483]	:	INFO	:	    # Backend Layers: 4
[2022-04-07 12:50:21	                main:484]	:	INFO	:	    # Threads: 1
[2022-04-07 12:50:21	                main:486]	:	INFO	:	Preparing Dataset
[2022-04-07 12:50:21	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Xt from dataset.hdf5 into memory
[2022-04-07 12:50:22	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Yt from dataset.hdf5 into memory
[2022-04-07 12:50:27	                load:106]	:	INFO	:	Successfully loaded dataset of 2048 examples into memory.
[2022-04-07 12:50:28	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Xv from dataset.hdf5 into memory
[2022-04-07 12:50:28	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Yv from dataset.hdf5 into memory
[2022-04-07 12:50:28	                load:106]	:	INFO	:	Successfully loaded dataset of 512 examples into memory.
[2022-04-07 12:50:28	                main:494]	:	INFO	:	Creating Model
[2022-04-07 12:50:28	                main:507]	:	INFO	:	Preparing config file
[2022-04-07 12:50:29	                main:511]	:	INFO	:	Found checkpoint, attempting to load... 
[2022-04-07 12:50:29	                main:512]	:	INFO	:	Loading config
[2022-04-07 12:50:29	                main:514]	:	INFO	:	Loading state
[2022-04-07 12:50:32	                main:559]	:	INFO	:	Loading DataLoader into Memory
[2022-04-07 12:50:32	                main:562]	:	INFO	:	Starting Training
[2022-04-07 12:50:46	                main:574]	:	INFO	:	Epoch 1762 | loss: 0.03114 | val_loss: 0.031156 | Time: 13711 ms
[2022-04-07 12:50:59	                main:574]	:	INFO	:	Epoch 1763 | loss: 0.0311061 | val_loss: 0.0311506 | Time: 12999.1 ms
[2022-04-07 12:51:06	                main:574]	:	INFO	:	Epoch 1764 | loss: 0.0311064 | val_loss: 0.0311514 | Time: 7893.64 ms
[2022-04-07 12:51:15	                main:574]	:	INFO	:	Epoch 1765 | loss: 0.0311047 | val_loss: 0.0311455 | Time: 8105.43 ms
[2022-04-07 12:51:29	                main:574]	:	INFO	:	Epoch 1766 | loss: 0.0311038 | val_loss: 0.0311592 | Time: 14080 ms
[2022-04-07 12:51:44	                main:574]	:	INFO	:	Epoch 1767 | loss: 0.0311051 | val_loss: 0.0311497 | Time: 15545.6 ms
[2022-04-07 12:51:58	                main:574]	:	INFO	:	Epoch 1768 | loss: 0.0311014 | val_loss: 0.0311493 | Time: 13178.4 ms
[2022-04-07 12:52:09	                main:574]	:	INFO	:	Epoch 1769 | loss: 0.0311003 | val_loss: 0.0311494 | Time: 11628.1 ms
[2022-04-07 12:52:21	                main:574]	:	INFO	:	Epoch 1770 | loss: 0.0311001 | val_loss: 0.0311508 | Time: 11599.8 ms
[2022-04-07 12:52:34	                main:574]	:	INFO	:	Epoch 1771 | loss: 0.0311035 | val_loss: 0.0311559 | Time: 12487.1 ms
[2022-04-07 12:52:48	                main:574]	:	INFO	:	Epoch 1772 | loss: 0.0311032 | val_loss: 0.0311552 | Time: 13840.3 ms
[2022-04-07 12:53:01	                main:574]	:	INFO	:	Epoch 1773 | loss: 0.0311032 | val_loss: 0.0311679 | Time: 13128.3 ms
[2022-04-07 12:53:10	                main:574]	:	INFO	:	Epoch 1774 | loss: 0.0311053 | val_loss: 0.0311497 | Time: 9607.43 ms
[2022-04-07 12:53:18	                main:574]	:	INFO	:	Epoch 1775 | loss: 0.0311058 | val_loss: 0.0311498 | Time: 7494.12 ms
[2022-04-07 12:53:25	                main:574]	:	INFO	:	Epoch 1776 | loss: 0.0311074 | val_loss: 0.0311493 | Time: 7336.45 ms
[2022-04-07 12:53:40	                main:574]	:	INFO	:	Epoch 1777 | loss: 0.0311058 | val_loss: 0.0311541 | Time: 14192.9 ms
[2022-04-07 12:53:53	                main:574]	:	INFO	:	Epoch 1778 | loss: 0.0311038 | val_loss: 0.0311507 | Time: 13395.3 ms
[2022-04-07 12:54:08	                main:574]	:	INFO	:	Epoch 1779 | loss: 0.0311058 | val_loss: 0.0311536 | Time: 14812.2 ms
[2022-04-07 12:54:20	                main:574]	:	INFO	:	Epoch 1780 | loss: 0.0311042 | val_loss: 0.0311529 | Time: 12212.3 ms
[2022-04-07 12:54:29	                main:574]	:	INFO	:	Epoch 1781 | loss: 0.0311032 | val_loss: 0.0311544 | Time: 8530.4 ms
[2022-04-07 12:54:43	                main:574]	:	INFO	:	Epoch 1782 | loss: 0.0311046 | val_loss: 0.0311567 | Time: 14037.8 ms
[2022-04-07 12:54:58	                main:574]	:	INFO	:	Epoch 1783 | loss: 0.0311037 | val_loss: 0.031158 | Time: 14686.2 ms
[2022-04-07 12:55:12	                main:574]	:	INFO	:	Epoch 1784 | loss: 0.031102 | val_loss: 0.0311494 | Time: 14321.3 ms
[2022-04-07 12:55:26	                main:574]	:	INFO	:	Epoch 1785 | loss: 0.0311015 | val_loss: 0.031158 | Time: 13445.4 ms
[2022-04-07 12:55:39	                main:574]	:	INFO	:	Epoch 1786 | loss: 0.0310992 | val_loss: 0.0311547 | Time: 13244.8 ms
[2022-04-07 12:55:50	                main:574]	:	INFO	:	Epoch 1787 | loss: 0.0310982 | val_loss: 0.0311494 | Time: 11257.7 ms
Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GT 1030)
[2022-04-07 13:01:47	                main:435]	:	INFO	:	Set logging level to 1
[2022-04-07 13:01:47	                main:441]	:	INFO	:	Running in BOINC Client mode
[2022-04-07 13:01:47	                main:444]	:	INFO	:	Resolving all filenames
[2022-04-07 13:01:47	                main:452]	:	INFO	:	Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1)
[2022-04-07 13:01:47	                main:452]	:	INFO	:	Resolved: model.cfg => model.cfg (exists = 1)
[2022-04-07 13:01:47	                main:452]	:	INFO	:	Resolved: model-final.pt => model-final.pt (exists = 0)
[2022-04-07 13:01:47	                main:452]	:	INFO	:	Resolved: model-input.pt => model-input.pt (exists = 1)
[2022-04-07 13:01:47	                main:452]	:	INFO	:	Resolved: snapshot.pt => snapshot.pt (exists = 1)
[2022-04-07 13:01:47	                main:472]	:	INFO	:	Dataset filename: dataset.hdf5
[2022-04-07 13:01:47	                main:474]	:	INFO	:	Configuration: 
[2022-04-07 13:01:47	                main:475]	:	INFO	:	    Model type: GRU
[2022-04-07 13:01:47	                main:476]	:	INFO	:	    Validation Loss Threshold: 0.0001
[2022-04-07 13:01:48	                main:477]	:	INFO	:	    Max Epochs: 2048
[2022-04-07 13:01:48	                main:478]	:	INFO	:	    Batch Size: 128
[2022-04-07 13:01:48	                main:479]	:	INFO	:	    Learning Rate: 0.01
[2022-04-07 13:01:48	                main:480]	:	INFO	:	    Patience: 10
[2022-04-07 13:01:48	                main:481]	:	INFO	:	    Hidden Width: 12
[2022-04-07 13:01:48	                main:482]	:	INFO	:	    # Recurrent Layers: 4
[2022-04-07 13:01:48	                main:483]	:	INFO	:	    # Backend Layers: 4
[2022-04-07 13:01:48	                main:484]	:	INFO	:	    # Threads: 1
[2022-04-07 13:01:48	                main:486]	:	INFO	:	Preparing Dataset
[2022-04-07 13:01:48	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Xt from dataset.hdf5 into memory
[2022-04-07 13:01:50	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Yt from dataset.hdf5 into memory
[2022-04-07 13:01:57	                load:106]	:	INFO	:	Successfully loaded dataset of 2048 examples into memory.
[2022-04-07 13:01:57	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Xv from dataset.hdf5 into memory
[2022-04-07 13:01:57	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Yv from dataset.hdf5 into memory
[2022-04-07 13:01:58	                load:106]	:	INFO	:	Successfully loaded dataset of 512 examples into memory.
[2022-04-07 13:01:58	                main:494]	:	INFO	:	Creating Model
[2022-04-07 13:01:58	                main:507]	:	INFO	:	Preparing config file
[2022-04-07 13:01:58	                main:511]	:	INFO	:	Found checkpoint, attempting to load... 
[2022-04-07 13:01:58	                main:512]	:	INFO	:	Loading config
[2022-04-07 13:01:58	                main:514]	:	INFO	:	Loading state
[2022-04-07 13:02:02	                main:559]	:	INFO	:	Loading DataLoader into Memory
[2022-04-07 13:02:02	                main:562]	:	INFO	:	Starting Training
[2022-04-07 13:02:15	                main:574]	:	INFO	:	Epoch 1788 | loss: 0.0311224 | val_loss: 0.0311603 | Time: 13210.1 ms
[2022-04-07 13:02:26	                main:574]	:	INFO	:	Epoch 1789 | loss: 0.0311034 | val_loss: 0.031155 | Time: 11355.1 ms
[2022-04-07 13:02:38	                main:574]	:	INFO	:	Epoch 1790 | loss: 0.0311029 | val_loss: 0.0311533 | Time: 11607.4 ms
[2022-04-07 13:02:50	                main:574]	:	INFO	:	Epoch 1791 | loss: 0.0311049 | val_loss: 0.0311519 | Time: 12079 ms
[2022-04-07 13:02:58	                main:574]	:	INFO	:	Epoch 1792 | loss: 0.0311004 | val_loss: 0.0311578 | Time: 7995.16 ms
[2022-04-07 13:03:10	                main:574]	:	INFO	:	Epoch 1793 | loss: 0.0310994 | val_loss: 0.0311536 | Time: 12089.3 ms
[2022-04-07 13:03:19	                main:574]	:	INFO	:	Epoch 1794 | loss: 0.0310976 | val_loss: 0.0311524 | Time: 8816.09 ms
[2022-04-07 13:03:27	                main:574]	:	INFO	:	Epoch 1795 | loss: 0.031097 | val_loss: 0.0311543 | Time: 7864.65 ms
[2022-04-07 13:03:35	                main:574]	:	INFO	:	Epoch 1796 | loss: 0.0310954 | val_loss: 0.0311518 | Time: 7356.07 ms
[2022-04-07 13:03:46	                main:574]	:	INFO	:	Epoch 1797 | loss: 0.0310986 | val_loss: 0.0311565 | Time: 11261.8 ms
[2022-04-07 13:03:58	                main:574]	:	INFO	:	Epoch 1798 | loss: 0.0311005 | val_loss: 0.0311574 | Time: 11803.1 ms
[2022-04-07 13:04:10	                main:574]	:	INFO	:	Epoch 1799 | loss: 0.0310983 | val_loss: 0.0311542 | Time: 12009.8 ms
[2022-04-07 13:04:22	                main:574]	:	INFO	:	Epoch 1800 | loss: 0.0310976 | val_loss: 0.0311574 | Time: 11377.9 ms
[2022-04-07 13:04:29	                main:574]	:	INFO	:	Epoch 1801 | loss: 0.0310953 | val_loss: 0.0311549 | Time: 7316.76 ms
[2022-04-07 13:04:41	                main:574]	:	INFO	:	Epoch 1802 | loss: 0.0310958 | val_loss: 0.0311501 | Time: 12339.9 ms
[2022-04-07 13:04:50	                main:574]	:	INFO	:	Epoch 1803 | loss: 0.0310945 | val_loss: 0.0311587 | Time: 8272.92 ms
[2022-04-07 13:05:01	                main:574]	:	INFO	:	Epoch 1804 | loss: 0.0310951 | val_loss: 0.0311535 | Time: 11326.4 ms
[2022-04-07 13:05:13	                main:574]	:	INFO	:	Epoch 1805 | loss: 0.0310942 | val_loss: 0.0311523 | Time: 11787.7 ms
[2022-04-07 13:05:21	                main:574]	:	INFO	:	Epoch 1806 | loss: 0.0310984 | val_loss: 0.0311556 | Time: 8047.62 ms
[2022-04-07 13:05:28	                main:574]	:	INFO	:	Epoch 1807 | loss: 0.0310994 | val_loss: 0.0311559 | Time: 7343.24 ms
[2022-04-07 13:05:40	                main:574]	:	INFO	:	Epoch 1808 | loss: 0.0310958 | val_loss: 0.0311566 | Time: 11483.9 ms
[2022-04-07 13:05:48	                main:574]	:	INFO	:	Epoch 1809 | loss: 0.0310974 | val_loss: 0.031156 | Time: 8129.91 ms
[2022-04-07 13:06:01	                main:574]	:	INFO	:	Epoch 1810 | loss: 0.0310975 | val_loss: 0.0311574 | Time: 12544.5 ms
[2022-04-07 13:06:09	                main:574]	:	INFO	:	Epoch 1811 | loss: 0.0311025 | val_loss: 0.0311545 | Time: 7998.17 ms
[2022-04-07 13:06:20	                main:574]	:	INFO	:	Epoch 1812 | loss: 0.0310984 | val_loss: 0.0311569 | Time: 11126.6 ms
[2022-04-07 13:06:34	                main:574]	:	INFO	:	Epoch 1813 | loss: 0.0310987 | val_loss: 0.031151 | Time: 13697.6 ms
[2022-04-07 13:06:46	                main:574]	:	INFO	:	Epoch 1814 | loss: 0.0310985 | val_loss: 0.0311596 | Time: 12153.9 ms
[2022-04-07 13:06:58	                main:574]	:	INFO	:	Epoch 1815 | loss: 0.0310979 | val_loss: 0.0311524 | Time: 12071.3 ms
[2022-04-07 13:07:10	                main:574]	:	INFO	:	Epoch 1816 | loss: 0.0311004 | val_loss: 0.0311519 | Time: 11443.6 ms
[2022-04-07 13:07:22	                main:574]	:	INFO	:	Epoch 1817 | loss: 0.0310983 | val_loss: 0.0311493 | Time: 12258.2 ms
Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GT 1030)
[2022-04-07 13:11:41	                main:435]	:	INFO	:	Set logging level to 1
[2022-04-07 13:11:41	                main:441]	:	INFO	:	Running in BOINC Client mode
[2022-04-07 13:11:41	                main:444]	:	INFO	:	Resolving all filenames
[2022-04-07 13:11:41	                main:452]	:	INFO	:	Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1)
[2022-04-07 13:11:41	                main:452]	:	INFO	:	Resolved: model.cfg => model.cfg (exists = 1)
[2022-04-07 13:11:41	                main:452]	:	INFO	:	Resolved: model-final.pt => model-final.pt (exists = 0)
[2022-04-07 13:11:41	                main:452]	:	INFO	:	Resolved: model-input.pt => model-input.pt (exists = 1)
[2022-04-07 13:11:41	                main:452]	:	INFO	:	Resolved: snapshot.pt => snapshot.pt (exists = 1)
[2022-04-07 13:11:41	                main:472]	:	INFO	:	Dataset filename: dataset.hdf5
[2022-04-07 13:11:41	                main:474]	:	INFO	:	Configuration: 
[2022-04-07 13:11:41	                main:475]	:	INFO	:	    Model type: GRU
[2022-04-07 13:11:41	                main:476]	:	INFO	:	    Validation Loss Threshold: 0.0001
[2022-04-07 13:11:41	                main:477]	:	INFO	:	    Max Epochs: 2048
[2022-04-07 13:11:41	                main:478]	:	INFO	:	    Batch Size: 128
[2022-04-07 13:11:41	                main:479]	:	INFO	:	    Learning Rate: 0.01
[2022-04-07 13:11:42	                main:480]	:	INFO	:	    Patience: 10
[2022-04-07 13:11:42	                main:481]	:	INFO	:	    Hidden Width: 12
[2022-04-07 13:11:42	                main:482]	:	INFO	:	    # Recurrent Layers: 4
[2022-04-07 13:11:42	                main:483]	:	INFO	:	    # Backend Layers: 4
[2022-04-07 13:11:42	                main:484]	:	INFO	:	    # Threads: 1
[2022-04-07 13:11:42	                main:486]	:	INFO	:	Preparing Dataset
[2022-04-07 13:11:42	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Xt from dataset.hdf5 into memory
[2022-04-07 13:11:43	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Yt from dataset.hdf5 into memory
[2022-04-07 13:11:52	                load:106]	:	INFO	:	Successfully loaded dataset of 2048 examples into memory.
[2022-04-07 13:11:52	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Xv from dataset.hdf5 into memory
[2022-04-07 13:11:52	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Yv from dataset.hdf5 into memory
[2022-04-07 13:11:53	                load:106]	:	INFO	:	Successfully loaded dataset of 512 examples into memory.
[2022-04-07 13:11:53	                main:494]	:	INFO	:	Creating Model
[2022-04-07 13:11:53	                main:507]	:	INFO	:	Preparing config file
[2022-04-07 13:11:53	                main:511]	:	INFO	:	Found checkpoint, attempting to load... 
[2022-04-07 13:11:53	                main:512]	:	INFO	:	Loading config
[2022-04-07 13:11:53	                main:514]	:	INFO	:	Loading state
[2022-04-07 13:11:56	                main:559]	:	INFO	:	Loading DataLoader into Memory
[2022-04-07 13:11:57	                main:562]	:	INFO	:	Starting Training
[2022-04-07 13:12:09	                main:574]	:	INFO	:	Epoch 1817 | loss: 0.0311282 | val_loss: 0.0311548 | Time: 12907.8 ms
[2022-04-07 13:12:21	                main:574]	:	INFO	:	Epoch 1818 | loss: 0.0311035 | val_loss: 0.031151 | Time: 11170.2 ms
[2022-04-07 13:12:31	                main:574]	:	INFO	:	Epoch 1819 | loss: 0.0311 | val_loss: 0.0311556 | Time: 10364.2 ms
[2022-04-07 13:12:38	                main:574]	:	INFO	:	Epoch 1820 | loss: 0.0310987 | val_loss: 0.0311537 | Time: 6672.31 ms
[2022-04-07 13:12:45	                main:574]	:	INFO	:	Epoch 1821 | loss: 0.0310973 | val_loss: 0.0311567 | Time: 6920.05 ms
[2022-04-07 13:12:52	                main:574]	:	INFO	:	Epoch 1822 | loss: 0.0310995 | val_loss: 0.0311563 | Time: 6941.36 ms
[2022-04-07 13:12:59	                main:574]	:	INFO	:	Epoch 1823 | loss: 0.0310971 | val_loss: 0.0311581 | Time: 6903.81 ms
[2022-04-07 13:13:06	                main:574]	:	INFO	:	Epoch 1824 | loss: 0.031096 | val_loss: 0.0311559 | Time: 6905.47 ms
[2022-04-07 13:13:13	                main:574]	:	INFO	:	Epoch 1825 | loss: 0.0310979 | val_loss: 0.0311569 | Time: 7012.05 ms
[2022-04-07 13:13:20	                main:574]	:	INFO	:	Epoch 1826 | loss: 0.0310958 | val_loss: 0.0311529 | Time: 6840.98 ms
[2022-04-07 13:13:27	                main:574]	:	INFO	:	Epoch 1827 | loss: 0.0310965 | val_loss: 0.0311555 | Time: 6907.59 ms
[2022-04-07 13:13:38	                main:574]	:	INFO	:	Epoch 1828 | loss: 0.0310958 | val_loss: 0.0311619 | Time: 11311.6 ms
[2022-04-07 13:13:45	                main:574]	:	INFO	:	Epoch 1829 | loss: 0.0310943 | val_loss: 0.0311544 | Time: 7187.32 ms
[2022-04-07 13:13:52	                main:574]	:	INFO	:	Epoch 1830 | loss: 0.0310938 | val_loss: 0.031159 | Time: 6880.2 ms
[2022-04-07 13:14:03	                main:574]	:	INFO	:	Epoch 1831 | loss: 0.0310963 | val_loss: 0.0311581 | Time: 10568 ms
[2022-04-07 13:14:10	                main:574]	:	INFO	:	Epoch 1832 | loss: 0.0310976 | val_loss: 0.0311562 | Time: 6807.64 ms
[2022-04-07 13:14:20	                main:574]	:	INFO	:	Epoch 1833 | loss: 0.0310947 | val_loss: 0.0311563 | Time: 10437.6 ms
[2022-04-07 13:14:27	                main:574]	:	INFO	:	Epoch 1834 | loss: 0.0310952 | val_loss: 0.0311655 | Time: 7017.13 ms
[2022-04-07 13:14:38	                main:574]	:	INFO	:	Epoch 1835 | loss: 0.031096 | val_loss: 0.0311544 | Time: 10655.9 ms
[2022-04-07 13:14:45	                main:574]	:	INFO	:	Epoch 1836 | loss: 0.0310975 | val_loss: 0.0311587 | Time: 7045.59 ms
[2022-04-07 13:14:56	                main:574]	:	INFO	:	Epoch 1837 | loss: 0.0311018 | val_loss: 0.0311597 | Time: 10578.5 ms
[2022-04-07 13:15:07	                main:574]	:	INFO	:	Epoch 1838 | loss: 0.0311002 | val_loss: 0.0311615 | Time: 11050.3 ms
[2022-04-07 13:15:14	                main:574]	:	INFO	:	Epoch 1839 | loss: 0.0310965 | val_loss: 0.0311589 | Time: 6869.08 ms
[2022-04-07 13:15:21	                main:574]	:	INFO	:	Epoch 1840 | loss: 0.0310982 | val_loss: 0.0311564 | Time: 6673.5 ms
[2022-04-07 13:15:27	                main:574]	:	INFO	:	Epoch 1841 | loss: 0.0310962 | val_loss: 0.0311569 | Time: 6593.02 ms
[2022-04-07 13:15:34	                main:574]	:	INFO	:	Epoch 1842 | loss: 0.0311003 | val_loss: 0.0311577 | Time: 6917.44 ms
[2022-04-07 13:15:41	                main:574]	:	INFO	:	Epoch 1843 | loss: 0.0310998 | val_loss: 0.0311526 | Time: 6739.7 ms
[2022-04-07 13:15:52	                main:574]	:	INFO	:	Epoch 1844 | loss: 0.0310988 | val_loss: 0.0311557 | Time: 10336.1 ms
[2022-04-07 13:15:58	                main:574]	:	INFO	:	Epoch 1845 | loss: 0.0311004 | val_loss: 0.0311542 | Time: 6749.01 ms
[2022-04-07 13:16:05	                main:574]	:	INFO	:	Epoch 1846 | loss: 0.031102 | val_loss: 0.0311584 | Time: 6743.78 ms
[2022-04-07 13:16:16	                main:574]	:	INFO	:	Epoch 1847 | loss: 0.0311003 | val_loss: 0.0311593 | Time: 10512.1 ms
[2022-04-07 13:16:27	                main:574]	:	INFO	:	Epoch 1848 | loss: 0.0310993 | val_loss: 0.0311656 | Time: 10900.3 ms
[2022-04-07 13:16:37	                main:574]	:	INFO	:	Epoch 1849 | loss: 0.0310977 | val_loss: 0.0311526 | Time: 10636 ms
[2022-04-07 13:16:44	                main:574]	:	INFO	:	Epoch 1850 | loss: 0.031102 | val_loss: 0.0311592 | Time: 6946.81 ms
[2022-04-07 13:16:51	                main:574]	:	INFO	:	Epoch 1851 | loss: 0.0311072 | val_loss: 0.0311553 | Time: 6718.61 ms
[2022-04-07 13:16:58	                main:574]	:	INFO	:	Epoch 1852 | loss: 0.0311089 | val_loss: 0.0311569 | Time: 6797.69 ms
[2022-04-07 13:17:09	                main:574]	:	INFO	:	Epoch 1853 | loss: 0.0311022 | val_loss: 0.0311579 | Time: 11182.7 ms
[2022-04-07 13:17:20	                main:574]	:	INFO	:	Epoch 1854 | loss: 0.0311059 | val_loss: 0.0311538 | Time: 10610.7 ms
[2022-04-07 13:17:30	                main:574]	:	INFO	:	Epoch 1855 | loss: 0.0311076 | val_loss: 0.0311523 | Time: 10266.5 ms
[2022-04-07 13:17:37	                main:574]	:	INFO	:	Epoch 1856 | loss: 0.0311044 | val_loss: 0.0311583 | Time: 6945.51 ms
[2022-04-07 13:17:48	                main:574]	:	INFO	:	Epoch 1857 | loss: 0.0311027 | val_loss: 0.0311575 | Time: 10442.9 ms
[2022-04-07 13:17:59	                main:574]	:	INFO	:	Epoch 1858 | loss: 0.0311014 | val_loss: 0.0311482 | Time: 10593.2 ms
[2022-04-07 13:18:05	                main:574]	:	INFO	:	Epoch 1859 | loss: 0.0311017 | val_loss: 0.031152 | Time: 6931.68 ms
Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GT 1030)
[2022-04-07 13:20:36	                main:435]	:	INFO	:	Set logging level to 1
[2022-04-07 13:20:36	                main:441]	:	INFO	:	Running in BOINC Client mode
[2022-04-07 13:20:36	                main:444]	:	INFO	:	Resolving all filenames
[2022-04-07 13:20:36	                main:452]	:	INFO	:	Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1)
[2022-04-07 13:20:37	                main:452]	:	INFO	:	Resolved: model.cfg => model.cfg (exists = 1)
[2022-04-07 13:20:37	                main:452]	:	INFO	:	Resolved: model-final.pt => model-final.pt (exists = 0)
[2022-04-07 13:20:37	                main:452]	:	INFO	:	Resolved: model-input.pt => model-input.pt (exists = 1)
[2022-04-07 13:20:37	                main:452]	:	INFO	:	Resolved: snapshot.pt => snapshot.pt (exists = 1)
[2022-04-07 13:20:37	                main:472]	:	INFO	:	Dataset filename: dataset.hdf5
[2022-04-07 13:20:37	                main:474]	:	INFO	:	Configuration: 
[2022-04-07 13:20:37	                main:475]	:	INFO	:	    Model type: GRU
[2022-04-07 13:20:37	                main:476]	:	INFO	:	    Validation Loss Threshold: 0.0001
[2022-04-07 13:20:37	                main:477]	:	INFO	:	    Max Epochs: 2048
[2022-04-07 13:20:37	                main:478]	:	INFO	:	    Batch Size: 128
[2022-04-07 13:20:37	                main:479]	:	INFO	:	    Learning Rate: 0.01
[2022-04-07 13:20:37	                main:480]	:	INFO	:	    Patience: 10
[2022-04-07 13:20:37	                main:481]	:	INFO	:	    Hidden Width: 12
[2022-04-07 13:20:37	                main:482]	:	INFO	:	    # Recurrent Layers: 4
[2022-04-07 13:20:37	                main:483]	:	INFO	:	    # Backend Layers: 4
[2022-04-07 13:20:37	                main:484]	:	INFO	:	    # Threads: 1
[2022-04-07 13:20:37	                main:486]	:	INFO	:	Preparing Dataset
[2022-04-07 13:20:37	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Xt from dataset.hdf5 into memory
[2022-04-07 13:20:39	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Yt from dataset.hdf5 into memory
[2022-04-07 13:20:45	                load:106]	:	INFO	:	Successfully loaded dataset of 2048 examples into memory.
[2022-04-07 13:20:46	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Xv from dataset.hdf5 into memory
[2022-04-07 13:20:46	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Yv from dataset.hdf5 into memory
[2022-04-07 13:20:46	                load:106]	:	INFO	:	Successfully loaded dataset of 512 examples into memory.
[2022-04-07 13:20:46	                main:494]	:	INFO	:	Creating Model
[2022-04-07 13:20:46	                main:507]	:	INFO	:	Preparing config file
[2022-04-07 13:20:46	                main:511]	:	INFO	:	Found checkpoint, attempting to load... 
[2022-04-07 13:20:46	                main:512]	:	INFO	:	Loading config
[2022-04-07 13:20:47	                main:514]	:	INFO	:	Loading state
[2022-04-07 13:20:50	                main:559]	:	INFO	:	Loading DataLoader into Memory
[2022-04-07 13:20:50	                main:562]	:	INFO	:	Starting Training
[2022-04-07 13:21:06	                main:574]	:	INFO	:	Epoch 1854 | loss: 0.0311299 | val_loss: 0.0311619 | Time: 16086.7 ms
[2022-04-07 13:21:20	                main:574]	:	INFO	:	Epoch 1855 | loss: 0.031104 | val_loss: 0.0311632 | Time: 14301.3 ms
[2022-04-07 13:21:31	                main:574]	:	INFO	:	Epoch 1856 | loss: 0.0311002 | val_loss: 0.0311526 | Time: 10643.6 ms
[2022-04-07 13:21:45	                main:574]	:	INFO	:	Epoch 1857 | loss: 0.0310998 | val_loss: 0.0311559 | Time: 13779.2 ms
[2022-04-07 13:21:58	                main:574]	:	INFO	:	Epoch 1858 | loss: 0.0311005 | val_loss: 0.0311579 | Time: 13427.1 ms
[2022-04-07 13:22:08	                main:574]	:	INFO	:	Epoch 1859 | loss: 0.0311017 | val_loss: 0.0311507 | Time: 9615.11 ms
[2022-04-07 13:22:22	                main:574]	:	INFO	:	Epoch 1860 | loss: 0.0311044 | val_loss: 0.0311584 | Time: 13712.1 ms
[2022-04-07 13:22:36	                main:574]	:	INFO	:	Epoch 1861 | loss: 0.031103 | val_loss: 0.0311555 | Time: 14593.6 ms
[2022-04-07 13:22:47	                main:574]	:	INFO	:	Epoch 1862 | loss: 0.0311009 | val_loss: 0.0311574 | Time: 10276.5 ms
[2022-04-07 13:23:01	                main:574]	:	INFO	:	Epoch 1863 | loss: 0.0310992 | val_loss: 0.0311552 | Time: 13978.2 ms
[2022-04-07 13:23:12	                main:574]	:	INFO	:	Epoch 1864 | loss: 0.0310985 | val_loss: 0.031155 | Time: 10984.9 ms
[2022-04-07 13:23:21	                main:574]	:	INFO	:	Epoch 1865 | loss: 0.0310978 | val_loss: 0.0311556 | Time: 9536.85 ms
[2022-04-07 13:23:29	                main:574]	:	INFO	:	Epoch 1866 | loss: 0.031097 | val_loss: 0.0311559 | Time: 7590.05 ms
[2022-04-07 13:23:36	                main:574]	:	INFO	:	Epoch 1867 | loss: 0.0310962 | val_loss: 0.0311526 | Time: 6982.08 ms
[2022-04-07 13:23:43	                main:574]	:	INFO	:	Epoch 1868 | loss: 0.0310954 | val_loss: 0.0311586 | Time: 7238.15 ms
[2022-04-07 13:23:56	                main:574]	:	INFO	:	Epoch 1869 | loss: 0.0310983 | val_loss: 0.0311583 | Time: 12238.3 ms
[2022-04-07 13:24:08	                main:574]	:	INFO	:	Epoch 1870 | loss: 0.0310957 | val_loss: 0.0311562 | Time: 12091.1 ms
[2022-04-07 13:24:18	                main:574]	:	INFO	:	Epoch 1871 | loss: 0.0310964 | val_loss: 0.0311647 | Time: 9751.48 ms
[2022-04-07 13:24:27	                main:574]	:	INFO	:	Epoch 1872 | loss: 0.0310971 | val_loss: 0.031161 | Time: 9080.4 ms
[2022-04-07 13:24:35	                main:574]	:	INFO	:	Epoch 1873 | loss: 0.031095 | val_loss: 0.0311545 | Time: 7887.58 ms
[2022-04-07 13:24:49	                main:574]	:	INFO	:	Epoch 1874 | loss: 0.0310973 | val_loss: 0.0311595 | Time: 14409.7 ms
[2022-04-07 13:25:04	                main:574]	:	INFO	:	Epoch 1875 | loss: 0.0310966 | val_loss: 0.0311584 | Time: 14934.7 ms
[2022-04-07 13:25:20	                main:574]	:	INFO	:	Epoch 1876 | loss: 0.0311032 | val_loss: 0.0311588 | Time: 15668.9 ms
[2022-04-07 13:25:33	                main:574]	:	INFO	:	Epoch 1877 | loss: 0.0311108 | val_loss: 0.0311683 | Time: 13448.5 ms
[2022-04-07 13:25:48	                main:574]	:	INFO	:	Epoch 1878 | loss: 0.0311093 | val_loss: 0.0311625 | Time: 14721.2 ms
[2022-04-07 13:26:03	                main:574]	:	INFO	:	Epoch 1879 | loss: 0.0311074 | val_loss: 0.0311573 | Time: 14447.2 ms
[2022-04-07 13:26:15	                main:574]	:	INFO	:	Epoch 1880 | loss: 0.0311035 | val_loss: 0.0311523 | Time: 12019.5 ms
[2022-04-07 13:26:25	                main:574]	:	INFO	:	Epoch 1881 | loss: 0.0310998 | val_loss: 0.0311559 | Time: 10452.4 ms
[2022-04-07 13:26:40	                main:574]	:	INFO	:	Epoch 1882 | loss: 0.0310976 | val_loss: 0.0311572 | Time: 14385.6 ms
[2022-04-07 13:26:55	                main:574]	:	INFO	:	Epoch 1883 | loss: 0.031101 | val_loss: 0.0311627 | Time: 14882.7 ms
[2022-04-07 13:27:06	                main:574]	:	INFO	:	Epoch 1884 | loss: 0.0311008 | val_loss: 0.0311566 | Time: 11585.5 ms
[2022-04-07 13:27:20	                main:574]	:	INFO	:	Epoch 1885 | loss: 0.0311023 | val_loss: 0.031155 | Time: 13638 ms
[2022-04-07 13:27:31	                main:574]	:	INFO	:	Epoch 1886 | loss: 0.0311067 | val_loss: 0.0311612 | Time: 10826.5 ms
[2022-04-07 13:27:46	                main:574]	:	INFO	:	Epoch 1887 | loss: 0.0311045 | val_loss: 0.0311624 | Time: 14799.6 ms
[2022-04-07 13:27:59	                main:574]	:	INFO	:	Epoch 1888 | loss: 0.031102 | val_loss: 0.0311546 | Time: 12932.1 ms
[2022-04-07 13:28:12	                main:574]	:	INFO	:	Epoch 1889 | loss: 0.0310997 | val_loss: 0.0311575 | Time: 13081 ms
[2022-04-07 13:28:26	                main:574]	:	INFO	:	Epoch 1890 | loss: 0.0310986 | val_loss: 0.0311586 | Time: 13607 ms
[2022-04-07 13:28:36	                main:574]	:	INFO	:	Epoch 1891 | loss: 0.031098 | val_loss: 0.0311492 | Time: 9897.18 ms
[2022-04-07 13:28:50	                main:574]	:	INFO	:	Epoch 1892 | loss: 0.0310957 | val_loss: 0.0311537 | Time: 14465.8 ms
[2022-04-07 13:29:04	                main:574]	:	INFO	:	Epoch 1893 | loss: 0.0310936 | val_loss: 0.0311521 | Time: 14290 ms
[2022-04-07 13:29:19	                main:574]	:	INFO	:	Epoch 1894 | loss: 0.0310944 | val_loss: 0.0311561 | Time: 14687 ms
[2022-04-07 13:29:30	                main:574]	:	INFO	:	Epoch 1895 | loss: 0.0310949 | val_loss: 0.0311559 | Time: 11158.3 ms
[2022-04-07 13:29:38	                main:574]	:	INFO	:	Epoch 1896 | loss: 0.0310971 | val_loss: 0.0311667 | Time: 7511.88 ms
[2022-04-07 13:29:45	                main:574]	:	INFO	:	Epoch 1897 | loss: 0.0310966 | val_loss: 0.0311609 | Time: 7226.89 ms
[2022-04-07 13:29:52	                main:574]	:	INFO	:	Epoch 1898 | loss: 0.031096 | val_loss: 0.0311661 | Time: 6691.62 ms
[2022-04-07 13:30:06	                main:574]	:	INFO	:	Epoch 1899 | loss: 0.031098 | val_loss: 0.0311572 | Time: 13912.3 ms
[2022-04-07 13:30:17	                main:574]	:	INFO	:	Epoch 1900 | loss: 0.0311004 | val_loss: 0.0311608 | Time: 11369.8 ms
[2022-04-07 13:30:27	                main:574]	:	INFO	:	Epoch 1901 | loss: 0.0310963 | val_loss: 0.0311677 | Time: 9277.7 ms
[2022-04-07 13:30:41	                main:574]	:	INFO	:	Epoch 1902 | loss: 0.0310943 | val_loss: 0.0311552 | Time: 13780.6 ms
[2022-04-07 13:30:50	                main:574]	:	INFO	:	Epoch 1903 | loss: 0.0311036 | val_loss: 0.031159 | Time: 9791.52 ms
[2022-04-07 13:30:59	                main:574]	:	INFO	:	Epoch 1904 | loss: 0.0311039 | val_loss: 0.0311616 | Time: 8888.41 ms
[2022-04-07 13:31:07	                main:574]	:	INFO	:	Epoch 1905 | loss: 0.0311024 | val_loss: 0.0311617 | Time: 7836.23 ms
[2022-04-07 13:31:21	                main:574]	:	INFO	:	Epoch 1906 | loss: 0.0311006 | val_loss: 0.0311538 | Time: 13924.1 ms
[2022-04-07 13:31:36	                main:574]	:	INFO	:	Epoch 1907 | loss: 0.0311039 | val_loss: 0.0311684 | Time: 14221.2 ms
[2022-04-07 13:31:51	                main:574]	:	INFO	:	Epoch 1908 | loss: 0.0311032 | val_loss: 0.0311568 | Time: 15215.2 ms
[2022-04-07 13:32:03	                main:574]	:	INFO	:	Epoch 1909 | loss: 0.0310976 | val_loss: 0.0311605 | Time: 12071.5 ms
[2022-04-07 13:32:14	                main:574]	:	INFO	:	Epoch 1910 | loss: 0.0310971 | val_loss: 0.0311642 | Time: 10781 ms
[2022-04-07 13:32:26	                main:574]	:	INFO	:	Epoch 1911 | loss: 0.0310978 | val_loss: 0.0311564 | Time: 12490.6 ms
[2022-04-07 13:32:41	                main:574]	:	INFO	:	Epoch 1912 | loss: 0.031094 | val_loss: 0.0311595 | Time: 14494.9 ms
[2022-04-07 13:32:56	                main:574]	:	INFO	:	Epoch 1913 | loss: 0.0310959 | val_loss: 0.0311539 | Time: 14923.5 ms
[2022-04-07 13:33:09	                main:574]	:	INFO	:	Epoch 1914 | loss: 0.0310954 | val_loss: 0.0311596 | Time: 13001.9 ms
[2022-04-07 13:33:22	                main:574]	:	INFO	:	Epoch 1915 | loss: 0.0310956 | val_loss: 0.031162 | Time: 13175.1 ms
Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GT 1030)
[2022-04-07 13:35:49	                main:435]	:	INFO	:	Set logging level to 1
[2022-04-07 13:35:49	                main:441]	:	INFO	:	Running in BOINC Client mode
[2022-04-07 13:35:49	                main:444]	:	INFO	:	Resolving all filenames
[2022-04-07 13:35:49	                main:452]	:	INFO	:	Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1)
[2022-04-07 13:35:49	                main:452]	:	INFO	:	Resolved: model.cfg => model.cfg (exists = 1)
[2022-04-07 13:35:49	                main:452]	:	INFO	:	Resolved: model-final.pt => model-final.pt (exists = 0)
[2022-04-07 13:35:49	                main:452]	:	INFO	:	Resolved: model-input.pt => model-input.pt (exists = 1)
[2022-04-07 13:35:49	                main:452]	:	INFO	:	Resolved: snapshot.pt => snapshot.pt (exists = 1)
[2022-04-07 13:35:49	                main:472]	:	INFO	:	Dataset filename: dataset.hdf5
[2022-04-07 13:35:49	                main:474]	:	INFO	:	Configuration: 
[2022-04-07 13:35:49	                main:475]	:	INFO	:	    Model type: GRU
[2022-04-07 13:35:49	                main:476]	:	INFO	:	    Validation Loss Threshold: 0.0001
[2022-04-07 13:35:49	                main:477]	:	INFO	:	    Max Epochs: 2048
[2022-04-07 13:35:49	                main:478]	:	INFO	:	    Batch Size: 128
[2022-04-07 13:35:49	                main:479]	:	INFO	:	    Learning Rate: 0.01
[2022-04-07 13:35:49	                main:480]	:	INFO	:	    Patience: 10
[2022-04-07 13:35:49	                main:481]	:	INFO	:	    Hidden Width: 12
[2022-04-07 13:35:49	                main:482]	:	INFO	:	    # Recurrent Layers: 4
[2022-04-07 13:35:49	                main:483]	:	INFO	:	    # Backend Layers: 4
[2022-04-07 13:35:50	                main:484]	:	INFO	:	    # Threads: 1
[2022-04-07 13:35:50	                main:486]	:	INFO	:	Preparing Dataset
[2022-04-07 13:35:50	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Xt from dataset.hdf5 into memory
[2022-04-07 13:35:51	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Yt from dataset.hdf5 into memory
[2022-04-07 13:35:58	                load:106]	:	INFO	:	Successfully loaded dataset of 2048 examples into memory.
[2022-04-07 13:35:58	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Xv from dataset.hdf5 into memory
[2022-04-07 13:35:58	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Yv from dataset.hdf5 into memory
[2022-04-07 13:35:59	                load:106]	:	INFO	:	Successfully loaded dataset of 512 examples into memory.
[2022-04-07 13:35:59	                main:494]	:	INFO	:	Creating Model
[2022-04-07 13:35:59	                main:507]	:	INFO	:	Preparing config file
[2022-04-07 13:35:59	                main:511]	:	INFO	:	Found checkpoint, attempting to load... 
[2022-04-07 13:35:59	                main:512]	:	INFO	:	Loading config
[2022-04-07 13:35:59	                main:514]	:	INFO	:	Loading state
[2022-04-07 13:36:02	                main:559]	:	INFO	:	Loading DataLoader into Memory
[2022-04-07 13:36:03	                main:562]	:	INFO	:	Starting Training
[2022-04-07 13:36:20	                main:574]	:	INFO	:	Epoch 1914 | loss: 0.0311305 | val_loss: 0.0311632 | Time: 17125.5 ms
[2022-04-07 13:36:34	                main:574]	:	INFO	:	Epoch 1915 | loss: 0.0311023 | val_loss: 0.0311741 | Time: 14388.8 ms
[2022-04-07 13:36:47	                main:574]	:	INFO	:	Epoch 1916 | loss: 0.0310976 | val_loss: 0.0311585 | Time: 12374.1 ms
[2022-04-07 13:37:01	                main:574]	:	INFO	:	Epoch 1917 | loss: 0.0310965 | val_loss: 0.0311556 | Time: 13925.4 ms
[2022-04-07 13:37:16	                main:574]	:	INFO	:	Epoch 1918 | loss: 0.0310999 | val_loss: 0.0311613 | Time: 15015.7 ms
[2022-04-07 13:37:29	                main:574]	:	INFO	:	Epoch 1919 | loss: 0.0310961 | val_loss: 0.0311599 | Time: 13824.6 ms
[2022-04-07 13:37:44	                main:574]	:	INFO	:	Epoch 1920 | loss: 0.0310989 | val_loss: 0.0311587 | Time: 14001.4 ms
[2022-04-07 13:37:56	                main:574]	:	INFO	:	Epoch 1921 | loss: 0.0310997 | val_loss: 0.0311614 | Time: 12424.4 ms
[2022-04-07 13:38:04	                main:574]	:	INFO	:	Epoch 1922 | loss: 0.0310994 | val_loss: 0.0311532 | Time: 7763.14 ms
[2022-04-07 13:38:19	                main:574]	:	INFO	:	Epoch 1923 | loss: 0.0310966 | val_loss: 0.0311609 | Time: 12224.3 ms
[2022-04-07 13:38:32	                main:574]	:	INFO	:	Epoch 1924 | loss: 0.0310942 | val_loss: 0.0311535 | Time: 13582.2 ms
[2022-04-07 13:38:45	                main:574]	:	INFO	:	Epoch 1925 | loss: 0.0310947 | val_loss: 0.0311559 | Time: 12814.7 ms
[2022-04-07 13:38:57	                main:574]	:	INFO	:	Epoch 1926 | loss: 0.0310934 | val_loss: 0.0311613 | Time: 11697.2 ms
[2022-04-07 13:39:11	                main:574]	:	INFO	:	Epoch 1927 | loss: 0.031093 | val_loss: 0.0311576 | Time: 14245.2 ms
[2022-04-07 13:39:25	                main:574]	:	INFO	:	Epoch 1928 | loss: 0.0310918 | val_loss: 0.0311639 | Time: 14040.9 ms
[2022-04-07 13:39:36	                main:574]	:	INFO	:	Epoch 1929 | loss: 0.0310932 | val_loss: 0.0311567 | Time: 10248.7 ms
[2022-04-07 13:39:50	                main:574]	:	INFO	:	Epoch 1930 | loss: 0.0310919 | val_loss: 0.0311605 | Time: 14534.4 ms
[2022-04-07 13:40:04	                main:574]	:	INFO	:	Epoch 1931 | loss: 0.031091 | val_loss: 0.0311635 | Time: 13616.6 ms
[2022-04-07 13:40:18	                main:574]	:	INFO	:	Epoch 1932 | loss: 0.0310918 | val_loss: 0.0311587 | Time: 14148.4 ms
[2022-04-07 13:40:31	                main:574]	:	INFO	:	Epoch 1933 | loss: 0.0310919 | val_loss: 0.0311595 | Time: 13325 ms
[2022-04-07 13:40:44	                main:574]	:	INFO	:	Epoch 1934 | loss: 0.0310892 | val_loss: 0.0311593 | Time: 12461.4 ms
[2022-04-07 13:40:54	                main:574]	:	INFO	:	Epoch 1935 | loss: 0.0310914 | val_loss: 0.0311723 | Time: 9841.21 ms
[2022-04-07 13:41:07	                main:574]	:	INFO	:	Epoch 1936 | loss: 0.0310914 | val_loss: 0.031158 | Time: 12663.6 ms
[2022-04-07 13:41:19	                main:574]	:	INFO	:	Epoch 1937 | loss: 0.031091 | val_loss: 0.0311678 | Time: 12688.1 ms
[2022-04-07 13:41:29	                main:574]	:	INFO	:	Epoch 1938 | loss: 0.0310893 | val_loss: 0.0311669 | Time: 9524.86 ms
[2022-04-07 13:41:43	                main:574]	:	INFO	:	Epoch 1939 | loss: 0.0310937 | val_loss: 0.0311643 | Time: 14074.5 ms
[2022-04-07 13:41:57	                main:574]	:	INFO	:	Epoch 1940 | loss: 0.0310932 | val_loss: 0.0311623 | Time: 13411 ms
[2022-04-07 13:42:11	                main:574]	:	INFO	:	Epoch 1941 | loss: 0.0310951 | val_loss: 0.0311529 | Time: 14009.9 ms
[2022-04-07 13:42:21	                main:574]	:	INFO	:	Epoch 1942 | loss: 0.0310973 | val_loss: 0.0311598 | Time: 9945.02 ms
[2022-04-07 13:42:30	                main:574]	:	INFO	:	Epoch 1943 | loss: 0.0311009 | val_loss: 0.0311595 | Time: 8889.1 ms
[2022-04-07 13:42:38	                main:574]	:	INFO	:	Epoch 1944 | loss: 0.0311002 | val_loss: 0.0311574 | Time: 8417.38 ms
[2022-04-07 13:42:52	                main:574]	:	INFO	:	Epoch 1945 | loss: 0.0311045 | val_loss: 0.0311599 | Time: 13422.6 ms
[2022-04-07 13:43:01	                main:574]	:	INFO	:	Epoch 1946 | loss: 0.0311041 | val_loss: 0.0311594 | Time: 9835.25 ms
[2022-04-07 13:43:15	                main:574]	:	INFO	:	Epoch 1947 | loss: 0.0310986 | val_loss: 0.0311519 | Time: 13631.5 ms
[2022-04-07 13:43:29	                main:574]	:	INFO	:	Epoch 1948 | loss: 0.0310963 | val_loss: 0.0311608 | Time: 13615.6 ms
[2022-04-07 13:43:40	                main:574]	:	INFO	:	Epoch 1949 | loss: 0.0310998 | val_loss: 0.0311527 | Time: 11586.6 ms
[2022-04-07 13:43:55	                main:574]	:	INFO	:	Epoch 1950 | loss: 0.0311012 | val_loss: 0.0311577 | Time: 14622.6 ms
[2022-04-07 13:44:07	                main:574]	:	INFO	:	Epoch 1951 | loss: 0.0311007 | val_loss: 0.0311564 | Time: 11853.4 ms
[2022-04-07 13:44:22	                main:574]	:	INFO	:	Epoch 1952 | loss: 0.0310958 | val_loss: 0.031154 | Time: 14446.3 ms
[2022-04-07 13:44:35	                main:574]	:	INFO	:	Epoch 1953 | loss: 0.0310974 | val_loss: 0.0311547 | Time: 13657 ms
[2022-04-07 13:44:50	                main:574]	:	INFO	:	Epoch 1954 | loss: 0.0310991 | val_loss: 0.031157 | Time: 14270.7 ms
[2022-04-07 13:44:59	                main:574]	:	INFO	:	Epoch 1955 | loss: 0.0310968 | val_loss: 0.0311498 | Time: 9748.28 ms
[2022-04-07 13:45:09	                main:574]	:	INFO	:	Epoch 1956 | loss: 0.0310972 | val_loss: 0.0311644 | Time: 9803.24 ms
[2022-04-07 13:45:22	                main:574]	:	INFO	:	Epoch 1957 | loss: 0.0310957 | val_loss: 0.0311657 | Time: 13205.7 ms
[2022-04-07 13:45:36	                main:574]	:	INFO	:	Epoch 1958 | loss: 0.0310954 | val_loss: 0.0311565 | Time: 13363 ms
[2022-04-07 13:45:49	                main:574]	:	INFO	:	Epoch 1959 | loss: 0.031097 | val_loss: 0.0311606 | Time: 12575.3 ms
[2022-04-07 13:46:02	                main:574]	:	INFO	:	Epoch 1960 | loss: 0.0310968 | val_loss: 0.0311584 | Time: 13559.3 ms
[2022-04-07 13:46:16	                main:574]	:	INFO	:	Epoch 1961 | loss: 0.0310998 | val_loss: 0.0311673 | Time: 14127.7 ms
[2022-04-07 13:46:31	                main:574]	:	INFO	:	Epoch 1962 | loss: 0.0311029 | val_loss: 0.0311639 | Time: 14673.1 ms
[2022-04-07 13:46:47	                main:574]	:	INFO	:	Epoch 1963 | loss: 0.0310998 | val_loss: 0.0311608 | Time: 15695.9 ms
[2022-04-07 13:46:59	                main:574]	:	INFO	:	Epoch 1964 | loss: 0.0310974 | val_loss: 0.0311646 | Time: 11608.2 ms
[2022-04-07 13:47:13	                main:574]	:	INFO	:	Epoch 1965 | loss: 0.0310989 | val_loss: 0.0311624 | Time: 14248.7 ms
[2022-04-07 13:47:28	                main:574]	:	INFO	:	Epoch 1966 | loss: 0.031097 | val_loss: 0.031153 | Time: 14888.3 ms
[2022-04-07 13:47:40	                main:574]	:	INFO	:	Epoch 1967 | loss: 0.0310966 | val_loss: 0.0311539 | Time: 12151.7 ms
[2022-04-07 13:47:52	                main:574]	:	INFO	:	Epoch 1968 | loss: 0.0310981 | val_loss: 0.0311584 | Time: 11873 ms
[2022-04-07 13:48:07	                main:574]	:	INFO	:	Epoch 1969 | loss: 0.0311 | val_loss: 0.0311576 | Time: 14834.6 ms
Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GT 1030)
[2022-04-07 13:53:03	                main:435]	:	INFO	:	Set logging level to 1
[2022-04-07 13:53:03	                main:441]	:	INFO	:	Running in BOINC Client mode
[2022-04-07 13:53:03	                main:444]	:	INFO	:	Resolving all filenames
[2022-04-07 13:53:03	                main:452]	:	INFO	:	Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1)
[2022-04-07 13:53:03	                main:452]	:	INFO	:	Resolved: model.cfg => model.cfg (exists = 1)
[2022-04-07 13:53:03	                main:452]	:	INFO	:	Resolved: model-final.pt => model-final.pt (exists = 0)
[2022-04-07 13:53:03	                main:452]	:	INFO	:	Resolved: model-input.pt => model-input.pt (exists = 1)
[2022-04-07 13:53:03	                main:452]	:	INFO	:	Resolved: snapshot.pt => snapshot.pt (exists = 1)
[2022-04-07 13:53:03	                main:472]	:	INFO	:	Dataset filename: dataset.hdf5
[2022-04-07 13:53:03	                main:474]	:	INFO	:	Configuration: 
[2022-04-07 13:53:03	                main:475]	:	INFO	:	    Model type: GRU
[2022-04-07 13:53:03	                main:476]	:	INFO	:	    Validation Loss Threshold: 0.0001
[2022-04-07 13:53:03	                main:477]	:	INFO	:	    Max Epochs: 2048
[2022-04-07 13:53:03	                main:478]	:	INFO	:	    Batch Size: 128
[2022-04-07 13:53:03	                main:479]	:	INFO	:	    Learning Rate: 0.01
[2022-04-07 13:53:03	                main:480]	:	INFO	:	    Patience: 10
[2022-04-07 13:53:03	                main:481]	:	INFO	:	    Hidden Width: 12
[2022-04-07 13:53:03	                main:482]	:	INFO	:	    # Recurrent Layers: 4
[2022-04-07 13:53:03	                main:483]	:	INFO	:	    # Backend Layers: 4
[2022-04-07 13:53:03	                main:484]	:	INFO	:	    # Threads: 1
[2022-04-07 13:53:04	                main:486]	:	INFO	:	Preparing Dataset
[2022-04-07 13:53:04	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Xt from dataset.hdf5 into memory
[2022-04-07 13:53:05	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Yt from dataset.hdf5 into memory
[2022-04-07 13:53:11	                load:106]	:	INFO	:	Successfully loaded dataset of 2048 examples into memory.
[2022-04-07 13:53:11	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Xv from dataset.hdf5 into memory
[2022-04-07 13:53:12	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Yv from dataset.hdf5 into memory
[2022-04-07 13:53:12	                load:106]	:	INFO	:	Successfully loaded dataset of 512 examples into memory.
[2022-04-07 13:53:12	                main:494]	:	INFO	:	Creating Model
[2022-04-07 13:53:12	                main:507]	:	INFO	:	Preparing config file
[2022-04-07 13:53:12	                main:511]	:	INFO	:	Found checkpoint, attempting to load... 
[2022-04-07 13:53:12	                main:512]	:	INFO	:	Loading config
[2022-04-07 13:53:12	                main:514]	:	INFO	:	Loading state
[2022-04-07 13:53:15	                main:559]	:	INFO	:	Loading DataLoader into Memory
[2022-04-07 13:53:15	                main:562]	:	INFO	:	Starting Training
[2022-04-07 13:53:30	                main:574]	:	INFO	:	Epoch 1969 | loss: 0.0311235 | val_loss: 0.0311598 | Time: 14800.4 ms
[2022-04-07 13:53:44	                main:574]	:	INFO	:	Epoch 1970 | loss: 0.0310999 | val_loss: 0.0311646 | Time: 13356.9 ms
[2022-04-07 13:53:54	                main:574]	:	INFO	:	Epoch 1971 | loss: 0.0310946 | val_loss: 0.0311616 | Time: 9754.16 ms
[2022-04-07 13:54:07	                main:574]	:	INFO	:	Epoch 1972 | loss: 0.0310946 | val_loss: 0.0311699 | Time: 13379.8 ms
[2022-04-07 13:54:18	                main:574]	:	INFO	:	Epoch 1973 | loss: 0.0311009 | val_loss: 0.0311758 | Time: 10591.1 ms
[2022-04-07 13:54:32	                main:574]	:	INFO	:	Epoch 1974 | loss: 0.0310998 | val_loss: 0.0311636 | Time: 14633.7 ms
[2022-04-07 13:54:43	                main:574]	:	INFO	:	Epoch 1975 | loss: 0.0310951 | val_loss: 0.0311663 | Time: 10523.8 ms
[2022-04-07 13:54:56	                main:574]	:	INFO	:	Epoch 1976 | loss: 0.0310936 | val_loss: 0.0311628 | Time: 12552.1 ms
[2022-04-07 13:55:09	                main:574]	:	INFO	:	Epoch 1977 | loss: 0.0310959 | val_loss: 0.0311565 | Time: 13875.5 ms
[2022-04-07 13:55:23	                main:574]	:	INFO	:	Epoch 1978 | loss: 0.0311015 | val_loss: 0.0311561 | Time: 13753.2 ms
[2022-04-07 13:55:37	                main:574]	:	INFO	:	Epoch 1979 | loss: 0.0311 | val_loss: 0.0311593 | Time: 13628.9 ms
[2022-04-07 13:55:52	                main:574]	:	INFO	:	Epoch 1980 | loss: 0.0310962 | val_loss: 0.0311598 | Time: 14565.9 ms
[2022-04-07 13:56:04	                main:574]	:	INFO	:	Epoch 1981 | loss: 0.0310973 | val_loss: 0.0311576 | Time: 12207.9 ms
[2022-04-07 13:56:19	                main:574]	:	INFO	:	Epoch 1982 | loss: 0.0310958 | val_loss: 0.031156 | Time: 14665.9 ms
[2022-04-07 13:56:34	                main:574]	:	INFO	:	Epoch 1983 | loss: 0.0310947 | val_loss: 0.0311634 | Time: 14903.2 ms
[2022-04-07 13:56:47	                main:574]	:	INFO	:	Epoch 1984 | loss: 0.0310948 | val_loss: 0.031157 | Time: 12978.4 ms
[2022-04-07 13:56:58	                main:574]	:	INFO	:	Epoch 1985 | loss: 0.031098 | val_loss: 0.0311595 | Time: 11177 ms
[2022-04-07 13:57:12	                main:574]	:	INFO	:	Epoch 1986 | loss: 0.0310927 | val_loss: 0.0311581 | Time: 13838.6 ms
[2022-04-07 13:57:23	                main:574]	:	INFO	:	Epoch 1987 | loss: 0.0310934 | val_loss: 0.0311603 | Time: 10775.1 ms
[2022-04-07 13:57:32	                main:574]	:	INFO	:	Epoch 1988 | loss: 0.0310987 | val_loss: 0.0311657 | Time: 9764.49 ms
[2022-04-07 13:57:46	                main:574]	:	INFO	:	Epoch 1989 | loss: 0.0310982 | val_loss: 0.0311603 | Time: 12988.6 ms
[2022-04-07 13:57:58	                main:574]	:	INFO	:	Epoch 1990 | loss: 0.0310972 | val_loss: 0.0311574 | Time: 12108.9 ms
[2022-04-07 13:58:08	                main:574]	:	INFO	:	Epoch 1991 | loss: 0.031098 | val_loss: 0.0311587 | Time: 10102.6 ms
[2022-04-07 13:58:21	                main:574]	:	INFO	:	Epoch 1992 | loss: 0.0310965 | val_loss: 0.0311646 | Time: 12571.9 ms
[2022-04-07 13:58:33	                main:574]	:	INFO	:	Epoch 1993 | loss: 0.0310986 | val_loss: 0.0311606 | Time: 11900.7 ms
[2022-04-07 13:58:46	                main:574]	:	INFO	:	Epoch 1994 | loss: 0.0310966 | val_loss: 0.0311526 | Time: 13111 ms
[2022-04-07 13:59:00	                main:574]	:	INFO	:	Epoch 1995 | loss: 0.0310939 | val_loss: 0.0311565 | Time: 13775.8 ms
[2022-04-07 13:59:13	                main:574]	:	INFO	:	Epoch 1996 | loss: 0.031093 | val_loss: 0.0311609 | Time: 13373.6 ms
[2022-04-07 13:59:25	                main:574]	:	INFO	:	Epoch 1997 | loss: 0.0310946 | val_loss: 0.0311566 | Time: 11518.2 ms
[2022-04-07 13:59:33	                main:574]	:	INFO	:	Epoch 1998 | loss: 0.031093 | val_loss: 0.0311592 | Time: 8017.34 ms
[2022-04-07 13:59:47	                main:574]	:	INFO	:	Epoch 1999 | loss: 0.0310919 | val_loss: 0.0311581 | Time: 14629.7 ms
[2022-04-07 14:00:02	                main:574]	:	INFO	:	Epoch 2000 | loss: 0.031091 | val_loss: 0.0311603 | Time: 14407.9 ms
[2022-04-07 14:00:13	                main:574]	:	INFO	:	Epoch 2001 | loss: 0.0310914 | val_loss: 0.0311633 | Time: 11486.5 ms
[2022-04-07 14:00:28	                main:574]	:	INFO	:	Epoch 2002 | loss: 0.0310945 | val_loss: 0.0311607 | Time: 14977.1 ms
[2022-04-07 14:00:42	                main:574]	:	INFO	:	Epoch 2003 | loss: 0.031095 | val_loss: 0.0311617 | Time: 14043.3 ms
[2022-04-07 14:00:56	                main:574]	:	INFO	:	Epoch 2004 | loss: 0.0310939 | val_loss: 0.0311572 | Time: 13884.3 ms
[2022-04-07 14:01:11	                main:574]	:	INFO	:	Epoch 2005 | loss: 0.0310945 | val_loss: 0.031161 | Time: 14141.3 ms
[2022-04-07 14:01:24	                main:574]	:	INFO	:	Epoch 2006 | loss: 0.0310911 | val_loss: 0.0311729 | Time: 13349.4 ms
[2022-04-07 14:01:38	                main:574]	:	INFO	:	Epoch 2007 | loss: 0.0310926 | val_loss: 0.0311611 | Time: 13476.2 ms
[2022-04-07 14:01:50	                main:574]	:	INFO	:	Epoch 2008 | loss: 0.0310911 | val_loss: 0.0311608 | Time: 12698.2 ms
[2022-04-07 14:02:04	                main:574]	:	INFO	:	Epoch 2009 | loss: 0.0310899 | val_loss: 0.0311628 | Time: 14080.9 ms
[2022-04-07 14:02:15	                main:574]	:	INFO	:	Epoch 2010 | loss: 0.0310896 | val_loss: 0.0311618 | Time: 10342.6 ms
[2022-04-07 14:02:25	                main:574]	:	INFO	:	Epoch 2011 | loss: 0.0310911 | val_loss: 0.0311786 | Time: 9861.91 ms
[2022-04-07 14:02:39	                main:574]	:	INFO	:	Epoch 2012 | loss: 0.0310937 | val_loss: 0.0311634 | Time: 14504.3 ms
[2022-04-07 14:02:53	                main:574]	:	INFO	:	Epoch 2013 | loss: 0.0310908 | val_loss: 0.0311598 | Time: 13183 ms
[2022-04-07 14:03:07	                main:574]	:	INFO	:	Epoch 2014 | loss: 0.0310936 | val_loss: 0.0311569 | Time: 14809.8 ms
[2022-04-07 14:03:19	                main:574]	:	INFO	:	Epoch 2015 | loss: 0.0311007 | val_loss: 0.0311647 | Time: 11731.5 ms
[2022-04-07 14:03:34	                main:574]	:	INFO	:	Epoch 2016 | loss: 0.0310993 | val_loss: 0.0311653 | Time: 14405.4 ms
[2022-04-07 14:03:48	                main:574]	:	INFO	:	Epoch 2017 | loss: 0.0310965 | val_loss: 0.0311699 | Time: 14333.9 ms
[2022-04-07 14:04:02	                main:574]	:	INFO	:	Epoch 2018 | loss: 0.0310991 | val_loss: 0.031167 | Time: 14067.2 ms
[2022-04-07 14:04:16	                main:574]	:	INFO	:	Epoch 2019 | loss: 0.0310986 | val_loss: 0.031164 | Time: 13607.6 ms
[2022-04-07 14:04:30	                main:574]	:	INFO	:	Epoch 2020 | loss: 0.0310984 | val_loss: 0.0311664 | Time: 13461.8 ms
[2022-04-07 14:04:43	                main:574]	:	INFO	:	Epoch 2021 | loss: 0.0310945 | val_loss: 0.0311707 | Time: 13507.1 ms
[2022-04-07 14:04:55	                main:574]	:	INFO	:	Epoch 2022 | loss: 0.0310977 | val_loss: 0.0311621 | Time: 11478 ms
[2022-04-07 14:05:09	                main:574]	:	INFO	:	Epoch 2023 | loss: 0.0311008 | val_loss: 0.031163 | Time: 14157.1 ms
[2022-04-07 14:05:24	                main:574]	:	INFO	:	Epoch 2024 | loss: 0.0311173 | val_loss: 0.0311624 | Time: 14850.9 ms
[2022-04-07 14:05:37	                main:574]	:	INFO	:	Epoch 2025 | loss: 0.0311167 | val_loss: 0.0311541 | Time: 13252.8 ms
[2022-04-07 14:05:51	                main:574]	:	INFO	:	Epoch 2026 | loss: 0.0311161 | val_loss: 0.0311594 | Time: 14240.5 ms
[2022-04-07 14:06:03	                main:574]	:	INFO	:	Epoch 2027 | loss: 0.0311136 | val_loss: 0.0311576 | Time: 11702.3 ms
Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GT 1030)
[2022-04-07 14:12:12	                main:435]	:	INFO	:	Set logging level to 1
[2022-04-07 14:12:12	                main:441]	:	INFO	:	Running in BOINC Client mode
[2022-04-07 14:12:12	                main:444]	:	INFO	:	Resolving all filenames
[2022-04-07 14:12:12	                main:452]	:	INFO	:	Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1)
[2022-04-07 14:12:12	                main:452]	:	INFO	:	Resolved: model.cfg => model.cfg (exists = 1)
[2022-04-07 14:12:12	                main:452]	:	INFO	:	Resolved: model-final.pt => model-final.pt (exists = 0)
[2022-04-07 14:12:12	                main:452]	:	INFO	:	Resolved: model-input.pt => model-input.pt (exists = 1)
[2022-04-07 14:12:12	                main:452]	:	INFO	:	Resolved: snapshot.pt => snapshot.pt (exists = 1)
[2022-04-07 14:12:13	                main:472]	:	INFO	:	Dataset filename: dataset.hdf5
[2022-04-07 14:12:13	                main:474]	:	INFO	:	Configuration: 
[2022-04-07 14:12:13	                main:475]	:	INFO	:	    Model type: GRU
[2022-04-07 14:12:13	                main:476]	:	INFO	:	    Validation Loss Threshold: 0.0001
[2022-04-07 14:12:13	                main:477]	:	INFO	:	    Max Epochs: 2048
[2022-04-07 14:12:13	                main:478]	:	INFO	:	    Batch Size: 128
[2022-04-07 14:12:13	                main:479]	:	INFO	:	    Learning Rate: 0.01
[2022-04-07 14:12:13	                main:480]	:	INFO	:	    Patience: 10
[2022-04-07 14:12:13	                main:481]	:	INFO	:	    Hidden Width: 12
[2022-04-07 14:12:13	                main:482]	:	INFO	:	    # Recurrent Layers: 4
[2022-04-07 14:12:13	                main:483]	:	INFO	:	    # Backend Layers: 4
[2022-04-07 14:12:13	                main:484]	:	INFO	:	    # Threads: 1
[2022-04-07 14:12:13	                main:486]	:	INFO	:	Preparing Dataset
[2022-04-07 14:12:13	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Xt from dataset.hdf5 into memory
[2022-04-07 14:12:14	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Yt from dataset.hdf5 into memory
[2022-04-07 14:12:21	                load:106]	:	INFO	:	Successfully loaded dataset of 2048 examples into memory.
[2022-04-07 14:12:21	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Xv from dataset.hdf5 into memory
[2022-04-07 14:12:21	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Yv from dataset.hdf5 into memory
[2022-04-07 14:12:22	                load:106]	:	INFO	:	Successfully loaded dataset of 512 examples into memory.
[2022-04-07 14:12:22	                main:494]	:	INFO	:	Creating Model
[2022-04-07 14:12:22	                main:507]	:	INFO	:	Preparing config file
[2022-04-07 14:12:22	                main:511]	:	INFO	:	Found checkpoint, attempting to load... 
[2022-04-07 14:12:22	                main:512]	:	INFO	:	Loading config
[2022-04-07 14:12:22	                main:514]	:	INFO	:	Loading state
[2022-04-07 14:12:25	                main:559]	:	INFO	:	Loading DataLoader into Memory
[2022-04-07 14:12:25	                main:562]	:	INFO	:	Starting Training
[2022-04-07 14:12:39	                main:574]	:	INFO	:	Epoch 2024 | loss: 0.0311244 | val_loss: 0.0311721 | Time: 14252.1 ms
[2022-04-07 14:12:51	                main:574]	:	INFO	:	Epoch 2025 | loss: 0.031103 | val_loss: 0.0311647 | Time: 11437.8 ms
[2022-04-07 14:13:03	                main:574]	:	INFO	:	Epoch 2026 | loss: 0.0310965 | val_loss: 0.0311579 | Time: 12305.9 ms
[2022-04-07 14:13:16	                main:574]	:	INFO	:	Epoch 2027 | loss: 0.0310984 | val_loss: 0.031164 | Time: 13129.5 ms
[2022-04-07 14:13:30	                main:574]	:	INFO	:	Epoch 2028 | loss: 0.0310966 | val_loss: 0.031166 | Time: 13958 ms
[2022-04-07 14:13:44	                main:574]	:	INFO	:	Epoch 2029 | loss: 0.0310972 | val_loss: 0.0311687 | Time: 14030.8 ms
[2022-04-07 14:13:56	                main:574]	:	INFO	:	Epoch 2030 | loss: 0.0310976 | val_loss: 0.0311683 | Time: 11116.1 ms
[2022-04-07 14:14:08	                main:574]	:	INFO	:	Epoch 2031 | loss: 0.0311013 | val_loss: 0.0311612 | Time: 12837.9 ms
[2022-04-07 14:14:21	                main:574]	:	INFO	:	Epoch 2032 | loss: 0.0311019 | val_loss: 0.0311636 | Time: 12344.3 ms
[2022-04-07 14:14:34	                main:574]	:	INFO	:	Epoch 2033 | loss: 0.0311021 | val_loss: 0.0311615 | Time: 12797.9 ms
[2022-04-07 14:14:45	                main:574]	:	INFO	:	Epoch 2034 | loss: 0.031101 | val_loss: 0.0311655 | Time: 11386.5 ms
[2022-04-07 14:14:58	                main:574]	:	INFO	:	Epoch 2035 | loss: 0.0310983 | val_loss: 0.0311651 | Time: 13260.8 ms
[2022-04-07 14:15:08	                main:574]	:	INFO	:	Epoch 2036 | loss: 0.0310962 | val_loss: 0.0311738 | Time: 9611.19 ms
[2022-04-07 14:15:21	                main:574]	:	INFO	:	Epoch 2037 | loss: 0.0310966 | val_loss: 0.031171 | Time: 12505.2 ms
[2022-04-07 14:15:34	                main:574]	:	INFO	:	Epoch 2038 | loss: 0.0310997 | val_loss: 0.0311756 | Time: 12754.2 ms
[2022-04-07 14:15:45	                main:574]	:	INFO	:	Epoch 2039 | loss: 0.0311011 | val_loss: 0.0311676 | Time: 10943.1 ms
[2022-04-07 14:15:58	                main:574]	:	INFO	:	Epoch 2040 | loss: 0.031106 | val_loss: 0.0311717 | Time: 13721 ms
[2022-04-07 14:16:10	                main:574]	:	INFO	:	Epoch 2041 | loss: 0.0311051 | val_loss: 0.0311637 | Time: 11560.2 ms
[2022-04-07 14:16:22	                main:574]	:	INFO	:	Epoch 2042 | loss: 0.0311017 | val_loss: 0.0311659 | Time: 12406.8 ms
[2022-04-07 14:16:32	                main:574]	:	INFO	:	Epoch 2043 | loss: 0.0310994 | val_loss: 0.0311682 | Time: 9563.25 ms
[2022-04-07 14:16:44	                main:574]	:	INFO	:	Epoch 2044 | loss: 0.0310993 | val_loss: 0.0311744 | Time: 11662.5 ms
[2022-04-07 14:16:56	                main:574]	:	INFO	:	Epoch 2045 | loss: 0.0310995 | val_loss: 0.0311728 | Time: 12148.8 ms
[2022-04-07 14:17:10	                main:574]	:	INFO	:	Epoch 2046 | loss: 0.0310966 | val_loss: 0.0311697 | Time: 13838.4 ms
[2022-04-07 14:17:23	                main:574]	:	INFO	:	Epoch 2047 | loss: 0.0310945 | val_loss: 0.0311715 | Time: 13139.5 ms
[2022-04-07 14:17:35	                main:574]	:	INFO	:	Epoch 2048 | loss: 0.0310936 | val_loss: 0.0311683 | Time: 12224.4 ms
[2022-04-07 14:17:35	                main:597]	:	INFO	:	Saving trained model to model-final.pt, val_loss 0.0311683
[2022-04-07 14:17:35	                main:603]	:	INFO	:	Saving end state to config to file
[2022-04-07 14:17:36	                main:608]	:	INFO	:	Success, exiting..
14:17:36 (11492): called boinc_finish(0)

</stderr_txt>
]]>


©2022 MLC@Home Team
A project of the Cognition, Robotics, and Learning (CORAL) Lab at the University of Maryland, Baltimore County (UMBC)