| Name | ParityModified-1631733426-22405-0_0 |
| Workunit | 5050446 |
| Created | 15 Sep 2021, 19:17:07 UTC |
| Sent | 18 Sep 2021, 13:00:39 UTC |
| Report deadline | 26 Sep 2021, 13:00:39 UTC |
| Received | 20 Sep 2021, 0:15:18 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 157 |
| Run time | 9 hours 51 min 43 sec |
| CPU time | 6 hours 33 min 53 sec |
| Validate state | Valid |
| Credit | 4,160.00 |
| Device peak FLOPS | 4,473.94 GFLOPS |
| Application version | Machine Learning Dataset Generator (GPU) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 1.62 GB |
| Peak swap size | 3.61 GB |
| Peak disk usage | 1.54 GB |
<core_client_version>7.16.11</core_client_version> <![CDATA[ <stderr_txt> -0_0_r1469092636_1 (exists = 1) [2021-09-19 15:46:32 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1631733426-22405-0_0_r1469092636_0 (exists = 0) [2021-09-19 15:46:32 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2021-09-19 15:46:32 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2021-09-19 15:46:32 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 [2021-09-19 15:46:32 main:474] : INFO : Configuration: [2021-09-19 15:46:32 main:475] : INFO : Model type: GRU [2021-09-19 15:46:32 main:476] : INFO : Validation Loss Threshold: 0.0001 [2021-09-19 15:46:32 main:477] : INFO : Max Epochs: 2048 [2021-09-19 15:46:32 main:478] : INFO : Batch Size: 128 [2021-09-19 15:46:32 main:479] : INFO : Learning Rate: 0.01 [2021-09-19 15:46:32 main:480] : INFO : Patience: 10 [2021-09-19 15:46:32 main:481] : INFO : Hidden Width: 12 [2021-09-19 15:46:32 main:482] : INFO : # Recurrent Layers: 4 [2021-09-19 15:46:32 main:483] : INFO : # Backend Layers: 4 [2021-09-19 15:46:32 main:484] : INFO : # Threads: 1 [2021-09-19 15:46:32 main:486] : INFO : Preparing Dataset [2021-09-19 15:46:32 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-09-19 15:46:33 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-09-19 15:46:36 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-09-19 15:46:36 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-09-19 15:46:36 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-09-19 15:46:36 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-09-19 15:46:36 main:494] : INFO : Creating Model [2021-09-19 15:46:36 main:507] : INFO : Preparing config file [2021-09-19 15:46:36 main:511] : INFO : Found checkpoint, attempting to load... [2021-09-19 15:46:36 main:512] : INFO : Loading config [2021-09-19 15:46:36 main:514] : INFO : Loading state [2021-09-19 15:46:38 main:559] : INFO : Loading DataLoader into Memory [2021-09-19 15:46:38 main:562] : INFO : Starting Training [2021-09-19 15:46:50 main:574] : INFO : Epoch 1690 | loss: 0.0317443 | val_loss: 0.0312912 | Time: 12466.3 ms [2021-09-19 15:47:02 main:574] : INFO : Epoch 1691 | loss: 0.0312779 | val_loss: 0.0312532 | Time: 11757.9 ms [2021-09-19 15:47:15 main:574] : INFO : Epoch 1692 | loss: 0.031237 | val_loss: 0.031218 | Time: 12462.5 ms [2021-09-19 15:47:29 main:574] : INFO : Epoch 1693 | loss: 0.0311987 | val_loss: 0.0311849 | Time: 13844.1 ms [2021-09-19 15:47:44 main:574] : INFO : Epoch 1694 | loss: 0.0311815 | val_loss: 0.0311824 | Time: 15853.3 ms [2021-09-19 15:48:01 main:574] : INFO : Epoch 1695 | loss: 0.0311832 | val_loss: 0.0311787 | Time: 16038.2 ms [2021-09-19 15:48:17 main:574] : INFO : Epoch 1696 | loss: 0.0311724 | val_loss: 0.031175 | Time: 15823.6 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 1060 6GB) [2021-09-19 16:14:58 main:435] : INFO : Set logging level to 1 [2021-09-19 16:14:58 main:441] : INFO : Running in BOINC Client mode [2021-09-19 16:14:58 main:444] : INFO : Resolving all filenames [2021-09-19 16:14:58 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1) [2021-09-19 16:14:58 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1631733426-22405-0_0_r1469092636_1 (exists = 1) [2021-09-19 16:14:58 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1631733426-22405-0_0_r1469092636_0 (exists = 0) [2021-09-19 16:14:58 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2021-09-19 16:14:58 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2021-09-19 16:14:58 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 [2021-09-19 16:14:58 main:474] : INFO : Configuration: [2021-09-19 16:14:58 main:475] : INFO : Model type: GRU [2021-09-19 16:14:58 main:476] : INFO : Validation Loss Threshold: 0.0001 [2021-09-19 16:14:58 main:477] : INFO : Max Epochs: 2048 [2021-09-19 16:14:58 main:478] : INFO : Batch Size: 128 [2021-09-19 16:14:58 main:479] : INFO : Learning Rate: 0.01 [2021-09-19 16:14:58 main:480] : INFO : Patience: 10 [2021-09-19 16:14:58 main:481] : INFO : Hidden Width: 12 [2021-09-19 16:14:58 main:482] : INFO : # Recurrent Layers: 4 [2021-09-19 16:14:58 main:483] : INFO : # Backend Layers: 4 [2021-09-19 16:14:58 main:484] : INFO : # Threads: 1 [2021-09-19 16:14:58 main:486] : INFO : Preparing Dataset [2021-09-19 16:14:59 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-09-19 16:14:59 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-09-19 16:15:04 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-09-19 16:15:04 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-09-19 16:15:04 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-09-19 16:15:04 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-09-19 16:15:04 main:494] : INFO : Creating Model [2021-09-19 16:15:04 main:507] : INFO : Preparing config file [2021-09-19 16:15:04 main:511] : INFO : Found checkpoint, attempting to load... [2021-09-19 16:15:04 main:512] : INFO : Loading config [2021-09-19 16:15:05 main:514] : INFO : Loading state [2021-09-19 16:15:08 main:559] : INFO : Loading DataLoader into Memory [2021-09-19 16:15:08 main:562] : INFO : Starting Training [2021-09-19 16:15:27 main:574] : INFO : Epoch 1695 | loss: 0.0317333 | val_loss: 0.0312406 | Time: 18948.4 ms [2021-09-19 16:15:45 main:574] : INFO : Epoch 1696 | loss: 0.0312644 | val_loss: 0.0312281 | Time: 17614.6 ms [2021-09-19 16:16:03 main:574] : INFO : Epoch 1697 | loss: 0.0312133 | val_loss: 0.0311998 | Time: 18225.6 ms [2021-09-19 16:16:22 main:574] : INFO : Epoch 1698 | loss: 0.0311843 | val_loss: 0.0311825 | Time: 18624.3 ms [2021-09-19 16:16:42 main:574] : INFO : Epoch 1699 | loss: 0.0311707 | val_loss: 0.0311763 | Time: 19914 ms [2021-09-19 16:17:00 main:574] : INFO : Epoch 1700 | loss: 0.0311681 | val_loss: 0.0311756 | Time: 17540.7 ms [2021-09-19 16:17:18 main:574] : INFO : Epoch 1701 | loss: 0.0311671 | val_loss: 0.0311756 | Time: 17862.6 ms [2021-09-19 16:17:36 main:574] : INFO : Epoch 1702 | loss: 0.0311645 | val_loss: 0.0311739 | Time: 18471.5 ms [2021-09-19 16:17:55 main:574] : INFO : Epoch 1703 | loss: 0.0311648 | val_loss: 0.031174 | Time: 18848.2 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 1060 6GB) [2021-09-19 16:20:04 main:435] : INFO : Set logging level to 1 [2021-09-19 16:20:04 main:441] : INFO : Running in BOINC Client mode [2021-09-19 16:20:04 main:444] : INFO : Resolving all filenames [2021-09-19 16:20:04 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1) [2021-09-19 16:20:04 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1631733426-22405-0_0_r1469092636_1 (exists = 1) [2021-09-19 16:20:04 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1631733426-22405-0_0_r1469092636_0 (exists = 0) [2021-09-19 16:20:04 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2021-09-19 16:20:04 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2021-09-19 16:20:04 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 [2021-09-19 16:20:05 main:474] : INFO : Configuration: [2021-09-19 16:20:05 main:475] : INFO : Model type: GRU [2021-09-19 16:20:05 main:476] : INFO : Validation Loss Threshold: 0.0001 [2021-09-19 16:20:05 main:477] : INFO : Max Epochs: 2048 [2021-09-19 16:20:05 main:478] : INFO : Batch Size: 128 [2021-09-19 16:20:05 main:479] : INFO : Learning Rate: 0.01 [2021-09-19 16:20:05 main:480] : INFO : Patience: 10 [2021-09-19 16:20:05 main:481] : INFO : Hidden Width: 12 [2021-09-19 16:20:05 main:482] : INFO : # Recurrent Layers: 4 [2021-09-19 16:20:05 main:483] : INFO : # Backend Layers: 4 [2021-09-19 16:20:05 main:484] : INFO : # Threads: 1 [2021-09-19 16:20:05 main:486] : INFO : Preparing Dataset [2021-09-19 16:20:05 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-09-19 16:20:06 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-09-19 16:20:13 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-09-19 16:20:13 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-09-19 16:20:13 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-09-19 16:20:13 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-09-19 16:20:13 main:494] : INFO : Creating Model [2021-09-19 16:20:13 main:507] : INFO : Preparing config file [2021-09-19 16:20:14 main:511] : INFO : Found checkpoint, attempting to load... [2021-09-19 16:20:14 main:512] : INFO : Loading config [2021-09-19 16:20:14 main:514] : INFO : Loading state [2021-09-19 16:20:20 main:559] : INFO : Loading DataLoader into Memory [2021-09-19 16:20:21 main:562] : INFO : Starting Training [2021-09-19 16:20:42 main:574] : INFO : Epoch 1702 | loss: 0.0314263 | val_loss: 0.0312648 | Time: 21210.6 ms [2021-09-19 16:21:00 main:574] : INFO : Epoch 1703 | loss: 0.0312439 | val_loss: 0.0312392 | Time: 18358.8 ms [2021-09-19 16:21:20 main:574] : INFO : Epoch 1704 | loss: 0.031207 | val_loss: 0.0311817 | Time: 19278.3 ms [2021-09-19 16:21:39 main:574] : INFO : Epoch 1705 | loss: 0.0311723 | val_loss: 0.0311756 | Time: 19338.8 ms [2021-09-19 16:21:58 main:574] : INFO : Epoch 1706 | loss: 0.0311683 | val_loss: 0.0311814 | Time: 18825.3 ms [2021-09-19 16:22:17 main:574] : INFO : Epoch 1707 | loss: 0.0311654 | val_loss: 0.0311708 | Time: 19316 ms [2021-09-19 16:22:37 main:574] : INFO : Epoch 1708 | loss: 0.0311624 | val_loss: 0.0311702 | Time: 19927.6 ms [2021-09-19 16:22:56 main:574] : INFO : Epoch 1709 | loss: 0.0311609 | val_loss: 0.031169 | Time: 18505 ms [2021-09-19 16:23:16 main:574] : INFO : Epoch 1710 | loss: 0.031158 | val_loss: 0.0311696 | Time: 19962.4 ms [2021-09-19 16:23:36 main:574] : INFO : Epoch 1711 | loss: 0.0311574 | val_loss: 0.0311718 | Time: 20244.3 ms [2021-09-19 16:23:56 main:574] : INFO : Epoch 1712 | loss: 0.0311569 | val_loss: 0.0311737 | Time: 19419.4 ms [2021-09-19 16:24:16 main:574] : INFO : Epoch 1713 | loss: 0.0311556 | val_loss: 0.031177 | Time: 19600.5 ms [2021-09-19 16:24:34 main:574] : INFO : Epoch 1714 | loss: 0.0311566 | val_loss: 0.031178 | Time: 18603.3 ms [2021-09-19 16:24:54 main:574] : INFO : Epoch 1715 | loss: 0.0311575 | val_loss: 0.0311747 | Time: 18990.8 ms [2021-09-19 16:25:13 main:574] : INFO : Epoch 1716 | loss: 0.0311544 | val_loss: 0.0311741 | Time: 19898.2 ms [2021-09-19 16:25:34 main:574] : INFO : Epoch 1717 | loss: 0.0311558 | val_loss: 0.0311906 | Time: 19921.4 ms [2021-09-19 16:25:53 main:574] : INFO : Epoch 1718 | loss: 0.0311566 | val_loss: 0.0311769 | Time: 18991.2 ms [2021-09-19 16:26:13 main:574] : INFO : Epoch 1719 | loss: 0.0311523 | val_loss: 0.031176 | Time: 20253.1 ms [2021-09-19 16:26:32 main:574] : INFO : Epoch 1720 | loss: 0.0311503 | val_loss: 0.0311756 | Time: 19231.7 ms [2021-09-19 16:26:51 main:574] : INFO : Epoch 1721 | loss: 0.0311499 | val_loss: 0.0311769 | Time: 19146.9 ms [2021-09-19 16:27:10 main:574] : INFO : Epoch 1722 | loss: 0.03115 | val_loss: 0.0311738 | Time: 18317 ms [2021-09-19 16:27:29 main:574] : INFO : Epoch 1723 | loss: 0.0311495 | val_loss: 0.0311751 | Time: 19502.8 ms [2021-09-19 16:27:48 main:574] : INFO : Epoch 1724 | loss: 0.031149 | val_loss: 0.0311764 | Time: 18828.2 ms [2021-09-19 16:28:07 main:574] : INFO : Epoch 1725 | loss: 0.0311481 | val_loss: 0.031176 | Time: 18432.3 ms [2021-09-19 16:28:26 main:574] : INFO : Epoch 1726 | loss: 0.0311472 | val_loss: 0.0311763 | Time: 19204 ms [2021-09-19 16:28:45 main:574] : INFO : Epoch 1727 | loss: 0.0311473 | val_loss: 0.031175 | Time: 18315.2 ms [2021-09-19 16:29:04 main:574] : INFO : Epoch 1728 | loss: 0.0311466 | val_loss: 0.0311741 | Time: 18920.5 ms [2021-09-19 16:29:23 main:574] : INFO : Epoch 1729 | loss: 0.0311487 | val_loss: 0.0311871 | Time: 18939.2 ms [2021-09-19 16:29:41 main:574] : INFO : Epoch 1730 | loss: 0.031148 | val_loss: 0.0311911 | Time: 18163.4 ms [2021-09-19 16:29:59 main:574] : INFO : Epoch 1731 | loss: 0.0311478 | val_loss: 0.031178 | Time: 18379.9 ms [2021-09-19 16:30:18 main:574] : INFO : Epoch 1732 | loss: 0.0311468 | val_loss: 0.0311847 | Time: 18303.5 ms [2021-09-19 16:30:36 main:574] : INFO : Epoch 1733 | loss: 0.0311456 | val_loss: 0.0311775 | Time: 18417.3 ms [2021-09-19 16:30:54 main:574] : INFO : Epoch 1734 | loss: 0.0311473 | val_loss: 0.0311811 | Time: 17964.5 ms [2021-09-19 16:31:13 main:574] : INFO : Epoch 1735 | loss: 0.0311495 | val_loss: 0.0311792 | Time: 18921.1 ms [2021-09-19 16:31:32 main:574] : INFO : Epoch 1736 | loss: 0.031145 | val_loss: 0.0311793 | Time: 18645.8 ms [2021-09-19 16:31:52 main:574] : INFO : Epoch 1737 | loss: 0.031149 | val_loss: 0.0311796 | Time: 19590.2 ms [2021-09-19 16:32:11 main:574] : INFO : Epoch 1738 | loss: 0.0311439 | val_loss: 0.031175 | Time: 19548.5 ms [2021-09-19 16:32:31 main:574] : INFO : Epoch 1739 | loss: 0.0311415 | val_loss: 0.0311805 | Time: 19294 ms [2021-09-19 16:32:50 main:574] : INFO : Epoch 1740 | loss: 0.0311403 | val_loss: 0.0311758 | Time: 19212.4 ms [2021-09-19 16:33:07 main:574] : INFO : Epoch 1741 | loss: 0.0311405 | val_loss: 0.0311862 | Time: 17167.4 ms [2021-09-19 16:33:24 main:574] : INFO : Epoch 1742 | loss: 0.0311409 | val_loss: 0.0311806 | Time: 16802.3 ms [2021-09-19 16:33:41 main:574] : INFO : Epoch 1743 | loss: 0.0311409 | val_loss: 0.0311804 | Time: 16604.9 ms [2021-09-19 16:33:57 main:574] : INFO : Epoch 1744 | loss: 0.0311397 | val_loss: 0.0311784 | Time: 16163.3 ms [2021-09-19 16:34:14 main:574] : INFO : Epoch 1745 | loss: 0.0311386 | val_loss: 0.0311757 | Time: 16747.7 ms [2021-09-19 16:34:30 main:574] : INFO : Epoch 1746 | loss: 0.0311399 | val_loss: 0.0311797 | Time: 16234.1 ms [2021-09-19 16:34:47 main:574] : INFO : Epoch 1747 | loss: 0.0311379 | val_loss: 0.0311796 | Time: 16391.3 ms [2021-09-19 16:35:03 main:574] : INFO : Epoch 1748 | loss: 0.0311385 | val_loss: 0.0311857 | Time: 16634.1 ms [2021-09-19 16:35:20 main:574] : INFO : Epoch 1749 | loss: 0.0311399 | val_loss: 0.0311798 | Time: 16671.7 ms [2021-09-19 16:35:37 main:574] : INFO : Epoch 1750 | loss: 0.0311412 | val_loss: 0.0311845 | Time: 16399.4 ms [2021-09-19 16:35:53 main:574] : INFO : Epoch 1751 | loss: 0.0311366 | val_loss: 0.0311798 | Time: 16764.2 ms [2021-09-19 16:36:10 main:574] : INFO : Epoch 1752 | loss: 0.0311354 | val_loss: 0.0311787 | Time: 16416.9 ms [2021-09-19 16:36:27 main:574] : INFO : Epoch 1753 | loss: 0.0311376 | val_loss: 0.0311811 | Time: 16556.3 ms [2021-09-19 16:36:43 main:574] : INFO : Epoch 1754 | loss: 0.0311368 | val_loss: 0.031181 | Time: 16674 ms [2021-09-19 16:37:00 main:574] : INFO : Epoch 1755 | loss: 0.0311342 | val_loss: 0.0311809 | Time: 16673.3 ms [2021-09-19 16:37:16 main:574] : INFO : Epoch 1756 | loss: 0.0311347 | val_loss: 0.0311795 | Time: 16259.3 ms [2021-09-19 16:37:34 main:574] : INFO : Epoch 1757 | loss: 0.0311348 | val_loss: 0.0311804 | Time: 16588.1 ms [2021-09-19 16:37:50 main:574] : INFO : Epoch 1758 | loss: 0.0311362 | val_loss: 0.0311766 | Time: 16479.7 ms [2021-09-19 16:38:07 main:574] : INFO : Epoch 1759 | loss: 0.0311366 | val_loss: 0.031184 | Time: 16629.8 ms [2021-09-19 16:38:24 main:574] : INFO : Epoch 1760 | loss: 0.0311506 | val_loss: 0.0311987 | Time: 16936 ms [2021-09-19 16:38:40 main:574] : INFO : Epoch 1761 | loss: 0.0311451 | val_loss: 0.0311829 | Time: 16306.9 ms [2021-09-19 16:38:57 main:574] : INFO : Epoch 1762 | loss: 0.0311388 | val_loss: 0.0311824 | Time: 16236.2 ms [2021-09-19 16:39:13 main:574] : INFO : Epoch 1763 | loss: 0.0311423 | val_loss: 0.0311922 | Time: 16574.4 ms [2021-09-19 16:39:30 main:574] : INFO : Epoch 1764 | loss: 0.0311365 | val_loss: 0.0311802 | Time: 16606.7 ms [2021-09-19 16:39:46 main:574] : INFO : Epoch 1765 | loss: 0.0311362 | val_loss: 0.0311865 | Time: 15905.6 ms [2021-09-19 16:40:03 main:574] : INFO : Epoch 1766 | loss: 0.0311369 | val_loss: 0.0311854 | Time: 17482.5 ms [2021-09-19 16:40:21 main:574] : INFO : Epoch 1767 | loss: 0.0311331 | val_loss: 0.0311833 | Time: 17644.9 ms [2021-09-19 16:40:39 main:574] : INFO : Epoch 1768 | loss: 0.0311333 | val_loss: 0.0311844 | Time: 17564.5 ms [2021-09-19 16:40:55 main:574] : INFO : Epoch 1769 | loss: 0.0311333 | val_loss: 0.0311839 | Time: 16422 ms [2021-09-19 16:41:14 main:574] : INFO : Epoch 1770 | loss: 0.0311322 | val_loss: 0.0311893 | Time: 18281.5 ms [2021-09-19 16:41:32 main:574] : INFO : Epoch 1771 | loss: 0.0311337 | val_loss: 0.0311798 | Time: 18167.6 ms [2021-09-19 16:41:47 main:574] : INFO : Epoch 1772 | loss: 0.0311332 | val_loss: 0.0311817 | Time: 15328.2 ms [2021-09-19 16:42:03 main:574] : INFO : Epoch 1773 | loss: 0.0311342 | val_loss: 0.031188 | Time: 15314.4 ms [2021-09-19 16:42:18 main:574] : INFO : Epoch 1774 | loss: 0.0311341 | val_loss: 0.0311807 | Time: 15478.6 ms [2021-09-19 16:42:34 main:574] : INFO : Epoch 1775 | loss: 0.0311324 | val_loss: 0.0311825 | Time: 15123.7 ms [2021-09-19 16:42:49 main:574] : INFO : Epoch 1776 | loss: 0.0311324 | val_loss: 0.0311819 | Time: 15041.8 ms [2021-09-19 16:43:05 main:574] : INFO : Epoch 1777 | loss: 0.0311329 | val_loss: 0.0311861 | Time: 15714.2 ms [2021-09-19 16:43:20 main:574] : INFO : Epoch 1778 | loss: 0.0311402 | val_loss: 0.0312001 | Time: 15140.5 ms [2021-09-19 16:43:35 main:574] : INFO : Epoch 1779 | loss: 0.0311472 | val_loss: 0.0311878 | Time: 15382.5 ms [2021-09-19 16:43:51 main:574] : INFO : Epoch 1780 | loss: 0.0311388 | val_loss: 0.0311852 | Time: 15581.8 ms [2021-09-19 16:44:06 main:574] : INFO : Epoch 1781 | loss: 0.0311366 | val_loss: 0.031194 | Time: 14872.6 ms [2021-09-19 16:44:21 main:574] : INFO : Epoch 1782 | loss: 0.0311324 | val_loss: 0.031184 | Time: 15590.1 ms [2021-09-19 16:44:37 main:574] : INFO : Epoch 1783 | loss: 0.0311313 | val_loss: 0.0311915 | Time: 15260.7 ms [2021-09-19 16:44:53 main:574] : INFO : Epoch 1784 | loss: 0.0311321 | val_loss: 0.0311821 | Time: 16184.3 ms [2021-09-19 16:45:09 main:574] : INFO : Epoch 1785 | loss: 0.0311319 | val_loss: 0.031188 | Time: 15668.7 ms [2021-09-19 16:45:25 main:574] : INFO : Epoch 1786 | loss: 0.0311295 | val_loss: 0.0311898 | Time: 15895.6 ms [2021-09-19 16:45:40 main:574] : INFO : Epoch 1787 | loss: 0.0311292 | val_loss: 0.0311878 | Time: 15276.1 ms [2021-09-19 16:45:56 main:574] : INFO : Epoch 1788 | loss: 0.0311312 | val_loss: 0.0311876 | Time: 15253.1 ms [2021-09-19 16:46:11 main:574] : INFO : Epoch 1789 | loss: 0.0311343 | val_loss: 0.0311955 | Time: 15753.4 ms [2021-09-19 16:46:27 main:574] : INFO : Epoch 1790 | loss: 0.0311301 | val_loss: 0.0311838 | Time: 15248.1 ms [2021-09-19 16:46:43 main:574] : INFO : Epoch 1791 | loss: 0.0311301 | val_loss: 0.0311881 | Time: 15894.4 ms [2021-09-19 16:46:58 main:574] : INFO : Epoch 1792 | loss: 0.0311335 | val_loss: 0.0311877 | Time: 15241.3 ms [2021-09-19 16:47:13 main:574] : INFO : Epoch 1793 | loss: 0.0311329 | val_loss: 0.0311855 | Time: 15467.4 ms [2021-09-19 16:47:29 main:574] : INFO : Epoch 1794 | loss: 0.0311308 | val_loss: 0.0311896 | Time: 15481.3 ms [2021-09-19 16:47:45 main:574] : INFO : Epoch 1795 | loss: 0.0311297 | val_loss: 0.0311814 | Time: 15824.8 ms [2021-09-19 16:48:01 main:574] : INFO : Epoch 1796 | loss: 0.0311312 | val_loss: 0.0311895 | Time: 15740.4 ms [2021-09-19 16:48:16 main:574] : INFO : Epoch 1797 | loss: 0.03113 | val_loss: 0.0311825 | Time: 15296.4 ms [2021-09-19 16:48:32 main:574] : INFO : Epoch 1798 | loss: 0.0311283 | val_loss: 0.0311865 | Time: 15462.6 ms [2021-09-19 16:48:47 main:574] : INFO : Epoch 1799 | loss: 0.031129 | val_loss: 0.031191 | Time: 15368.4 ms [2021-09-19 16:49:03 main:574] : INFO : Epoch 1800 | loss: 0.0311281 | val_loss: 0.0311896 | Time: 15893.5 ms [2021-09-19 16:49:19 main:574] : INFO : Epoch 1801 | loss: 0.0311337 | val_loss: 0.0311866 | Time: 15175.5 ms [2021-09-19 16:49:34 main:574] : INFO : Epoch 1802 | loss: 0.0311315 | val_loss: 0.0311849 | Time: 15756.5 ms [2021-09-19 16:49:50 main:574] : INFO : Epoch 1803 | loss: 0.0311288 | val_loss: 0.0311855 | Time: 15368.9 ms [2021-09-19 16:50:05 main:574] : INFO : Epoch 1804 | loss: 0.0311285 | val_loss: 0.0311846 | Time: 15422.3 ms [2021-09-19 16:50:21 main:574] : INFO : Epoch 1805 | loss: 0.0311278 | val_loss: 0.0311868 | Time: 15425.7 ms [2021-09-19 16:50:36 main:574] : INFO : Epoch 1806 | loss: 0.0311277 | val_loss: 0.0311878 | Time: 14821.3 ms [2021-09-19 16:50:51 main:574] : INFO : Epoch 1807 | loss: 0.0311281 | val_loss: 0.0311875 | Time: 15121.2 ms [2021-09-19 16:51:06 main:574] : INFO : Epoch 1808 | loss: 0.0311308 | val_loss: 0.0311936 | Time: 15211.3 ms [2021-09-19 16:51:22 main:574] : INFO : Epoch 1809 | loss: 0.0311284 | val_loss: 0.0311835 | Time: 15395.3 ms [2021-09-19 16:51:37 main:574] : INFO : Epoch 1810 | loss: 0.0311284 | val_loss: 0.031186 | Time: 15289.5 ms [2021-09-19 16:51:52 main:574] : INFO : Epoch 1811 | loss: 0.0311267 | val_loss: 0.0311874 | Time: 15414.6 ms [2021-09-19 16:52:08 main:574] : INFO : Epoch 1812 | loss: 0.031128 | val_loss: 0.0311913 | Time: 15700.8 ms [2021-09-19 16:52:25 main:574] : INFO : Epoch 1813 | loss: 0.0311267 | val_loss: 0.0311904 | Time: 16003.2 ms [2021-09-19 16:52:40 main:574] : INFO : Epoch 1814 | loss: 0.0311256 | val_loss: 0.0311889 | Time: 15267.7 ms [2021-09-19 16:52:55 main:574] : INFO : Epoch 1815 | loss: 0.0311248 | val_loss: 0.0311895 | Time: 15435.7 ms [2021-09-19 16:53:11 main:574] : INFO : Epoch 1816 | loss: 0.0311237 | val_loss: 0.0311833 | Time: 15495.2 ms [2021-09-19 16:53:26 main:574] : INFO : Epoch 1817 | loss: 0.0311276 | val_loss: 0.031197 | Time: 15394.9 ms [2021-09-19 16:53:42 main:574] : INFO : Epoch 1818 | loss: 0.0311297 | val_loss: 0.0311859 | Time: 15303.6 ms [2021-09-19 16:53:57 main:574] : INFO : Epoch 1819 | loss: 0.0311255 | val_loss: 0.0311819 | Time: 14767.7 ms [2021-09-19 16:54:12 main:574] : INFO : Epoch 1820 | loss: 0.0311294 | val_loss: 0.0311913 | Time: 15495.5 ms [2021-09-19 16:54:28 main:574] : INFO : Epoch 1821 | loss: 0.0311278 | val_loss: 0.0311911 | Time: 15251.9 ms [2021-09-19 16:54:43 main:574] : INFO : Epoch 1822 | loss: 0.031125 | val_loss: 0.0311858 | Time: 15439 ms [2021-09-19 16:54:58 main:574] : INFO : Epoch 1823 | loss: 0.0311244 | val_loss: 0.0311905 | Time: 15276.2 ms [2021-09-19 16:55:14 main:574] : INFO : Epoch 1824 | loss: 0.0311248 | val_loss: 0.0311899 | Time: 15742.3 ms [2021-09-19 16:55:29 main:574] : INFO : Epoch 1825 | loss: 0.0311253 | val_loss: 0.0311892 | Time: 15159.5 ms [2021-09-19 16:55:45 main:574] : INFO : Epoch 1826 | loss: 0.031169 | val_loss: 0.0312202 | Time: 15646.6 ms [2021-09-19 16:56:00 main:574] : INFO : Epoch 1827 | loss: 0.0312206 | val_loss: 0.0312107 | Time: 15040.1 ms [2021-09-19 16:56:16 main:574] : INFO : Epoch 1828 | loss: 0.0312085 | val_loss: 0.0312031 | Time: 15490 ms [2021-09-19 16:56:32 main:574] : INFO : Epoch 1829 | loss: 0.0312012 | val_loss: 0.031196 | Time: 16383.6 ms [2021-09-19 16:56:48 main:574] : INFO : Epoch 1830 | loss: 0.0311953 | val_loss: 0.031189 | Time: 15456.5 ms [2021-09-19 16:57:04 main:574] : INFO : Epoch 1831 | loss: 0.0311884 | val_loss: 0.0311871 | Time: 15660.1 ms [2021-09-19 16:57:19 main:574] : INFO : Epoch 1832 | loss: 0.0311856 | val_loss: 0.0311849 | Time: 15608.1 ms [2021-09-19 16:57:35 main:574] : INFO : Epoch 1833 | loss: 0.0311823 | val_loss: 0.0311846 | Time: 15443.9 ms [2021-09-19 16:57:50 main:574] : INFO : Epoch 1834 | loss: 0.031181 | val_loss: 0.0311825 | Time: 15194.5 ms [2021-09-19 16:58:06 main:574] : INFO : Epoch 1835 | loss: 0.0311797 | val_loss: 0.0311838 | Time: 15394.9 ms [2021-09-19 16:58:21 main:574] : INFO : Epoch 1836 | loss: 0.0311813 | val_loss: 0.0311842 | Time: 15515.3 ms [2021-09-19 16:58:36 main:574] : INFO : Epoch 1837 | loss: 0.0311792 | val_loss: 0.0311828 | Time: 14990.2 ms [2021-09-19 16:58:52 main:574] : INFO : Epoch 1838 | loss: 0.0311793 | val_loss: 0.0311816 | Time: 15420.4 ms [2021-09-19 16:59:07 main:574] : INFO : Epoch 1839 | loss: 0.0311799 | val_loss: 0.0311819 | Time: 14732.5 ms [2021-09-19 16:59:22 main:574] : INFO : Epoch 1840 | loss: 0.0311803 | val_loss: 0.0311804 | Time: 15766 ms [2021-09-19 16:59:38 main:574] : INFO : Epoch 1841 | loss: 0.0311785 | val_loss: 0.0311825 | Time: 15528.4 ms [2021-09-19 16:59:54 main:574] : INFO : Epoch 1842 | loss: 0.0311782 | val_loss: 0.0311799 | Time: 15483.4 ms [2021-09-19 17:00:09 main:574] : INFO : Epoch 1843 | loss: 0.0311766 | val_loss: 0.0311824 | Time: 15247.6 ms [2021-09-19 17:00:26 main:574] : INFO : Epoch 1844 | loss: 0.031177 | val_loss: 0.0311793 | Time: 16547.4 ms [2021-09-19 17:00:44 main:574] : INFO : Epoch 1845 | loss: 0.0311752 | val_loss: 0.0311814 | Time: 18193.2 ms [2021-09-19 17:01:01 main:574] : INFO : Epoch 1846 | loss: 0.0311747 | val_loss: 0.0311814 | Time: 17147.5 ms [2021-09-19 17:01:21 main:574] : INFO : Epoch 1847 | loss: 0.0311744 | val_loss: 0.031183 | Time: 19343.6 ms [2021-09-19 17:01:38 main:574] : INFO : Epoch 1848 | loss: 0.0311731 | val_loss: 0.0311799 | Time: 17797.4 ms [2021-09-19 17:01:57 main:574] : INFO : Epoch 1849 | loss: 0.0311737 | val_loss: 0.0311795 | Time: 18493.1 ms [2021-09-19 17:02:16 main:574] : INFO : Epoch 1850 | loss: 0.0311721 | val_loss: 0.0311802 | Time: 18777.3 ms [2021-09-19 17:02:34 main:574] : INFO : Epoch 1851 | loss: 0.031172 | val_loss: 0.0311792 | Time: 18519.6 ms [2021-09-19 17:02:53 main:574] : INFO : Epoch 1852 | loss: 0.0311713 | val_loss: 0.0311785 | Time: 18812.9 ms [2021-09-19 17:03:13 main:574] : INFO : Epoch 1853 | loss: 0.0311706 | val_loss: 0.0311791 | Time: 19408.5 ms [2021-09-19 17:03:31 main:574] : INFO : Epoch 1854 | loss: 0.0311703 | val_loss: 0.0311801 | Time: 18343.5 ms [2021-09-19 17:03:50 main:574] : INFO : Epoch 1855 | loss: 0.031171 | val_loss: 0.0311802 | Time: 18456.8 ms [2021-09-19 17:04:09 main:574] : INFO : Epoch 1856 | loss: 0.0311705 | val_loss: 0.0311799 | Time: 18944.3 ms [2021-09-19 17:04:27 main:574] : INFO : Epoch 1857 | loss: 0.0311726 | val_loss: 0.0311786 | Time: 18141 ms [2021-09-19 17:04:46 main:574] : INFO : Epoch 1858 | loss: 0.0311702 | val_loss: 0.0311831 | Time: 19139.9 ms [2021-09-19 17:05:05 main:574] : INFO : Epoch 1859 | loss: 0.0311689 | val_loss: 0.0311773 | Time: 18826.9 ms [2021-09-19 17:05:24 main:574] : INFO : Epoch 1860 | loss: 0.031168 | val_loss: 0.0311784 | Time: 18317.9 ms [2021-09-19 17:05:42 main:574] : INFO : Epoch 1861 | loss: 0.031169 | val_loss: 0.0311832 | Time: 18355.5 ms [2021-09-19 17:06:01 main:574] : INFO : Epoch 1862 | loss: 0.0311691 | val_loss: 0.0311781 | Time: 18644.6 ms [2021-09-19 17:06:20 main:574] : INFO : Epoch 1863 | loss: 0.0311704 | val_loss: 0.0311769 | Time: 19273.9 ms [2021-09-19 17:06:39 main:574] : INFO : Epoch 1864 | loss: 0.0311693 | val_loss: 0.0311803 | Time: 18577.2 ms [2021-09-19 17:06:58 main:574] : INFO : Epoch 1865 | loss: 0.0311667 | val_loss: 0.0311787 | Time: 18612.6 ms [2021-09-19 17:07:17 main:574] : INFO : Epoch 1866 | loss: 0.0311662 | val_loss: 0.0311781 | Time: 19209.3 ms [2021-09-19 17:07:37 main:574] : INFO : Epoch 1867 | loss: 0.0311665 | val_loss: 0.0311772 | Time: 19795.2 ms [2021-09-19 17:07:57 main:574] : INFO : Epoch 1868 | loss: 0.0311656 | val_loss: 0.0311796 | Time: 19915.2 ms [2021-09-19 17:08:17 main:574] : INFO : Epoch 1869 | loss: 0.0311657 | val_loss: 0.0311768 | Time: 19685.2 ms [2021-09-19 17:08:35 main:574] : INFO : Epoch 1870 | loss: 0.0311651 | val_loss: 0.0311764 | Time: 18853.1 ms [2021-09-19 17:08:55 main:574] : INFO : Epoch 1871 | loss: 0.0311669 | val_loss: 0.0311784 | Time: 18812.5 ms [2021-09-19 17:09:14 main:574] : INFO : Epoch 1872 | loss: 0.0311646 | val_loss: 0.0311769 | Time: 19129.4 ms [2021-09-19 17:09:32 main:574] : INFO : Epoch 1873 | loss: 0.031166 | val_loss: 0.0311775 | Time: 18458.6 ms [2021-09-19 17:09:52 main:574] : INFO : Epoch 1874 | loss: 0.0311662 | val_loss: 0.0311767 | Time: 19268.8 ms [2021-09-19 17:10:10 main:574] : INFO : Epoch 1875 | loss: 0.031165 | val_loss: 0.0311791 | Time: 18445.2 ms [2021-09-19 17:10:30 main:574] : INFO : Epoch 1876 | loss: 0.0311648 | val_loss: 0.0311788 | Time: 19187.8 ms [2021-09-19 17:10:49 main:574] : INFO : Epoch 1877 | loss: 0.0311661 | val_loss: 0.0311828 | Time: 18878.5 ms [2021-09-19 17:11:07 main:574] : INFO : Epoch 1878 | loss: 0.0311655 | val_loss: 0.0311783 | Time: 18578.9 ms [2021-09-19 17:11:27 main:574] : INFO : Epoch 1879 | loss: 0.0311629 | val_loss: 0.0311758 | Time: 19388.5 ms [2021-09-19 17:11:47 main:574] : INFO : Epoch 1880 | loss: 0.0311645 | val_loss: 0.0311736 | Time: 19913.4 ms [2021-09-19 17:12:06 main:574] : INFO : Epoch 1881 | loss: 0.0311628 | val_loss: 0.0311765 | Time: 18913.6 ms [2021-09-19 17:12:25 main:574] : INFO : Epoch 1882 | loss: 0.0311619 | val_loss: 0.0311762 | Time: 19107 ms [2021-09-19 17:12:44 main:574] : INFO : Epoch 1883 | loss: 0.0311624 | val_loss: 0.0311829 | Time: 18841.3 ms [2021-09-19 17:13:03 main:574] : INFO : Epoch 1884 | loss: 0.0311649 | val_loss: 0.031176 | Time: 18882.5 ms [2021-09-19 17:13:22 main:574] : INFO : Epoch 1885 | loss: 0.0311635 | val_loss: 0.031175 | Time: 19271.8 ms [2021-09-19 17:13:41 main:574] : INFO : Epoch 1886 | loss: 0.0311622 | val_loss: 0.0311794 | Time: 18022.5 ms [2021-09-19 17:13:59 main:574] : INFO : Epoch 1887 | loss: 0.0311619 | val_loss: 0.0311739 | Time: 18402.2 ms [2021-09-19 17:14:18 main:574] : INFO : Epoch 1888 | loss: 0.0311627 | val_loss: 0.0311779 | Time: 18804.2 ms [2021-09-19 17:14:37 main:574] : INFO : Epoch 1889 | loss: 0.0311624 | val_loss: 0.0311767 | Time: 18774.2 ms [2021-09-19 17:14:55 main:574] : INFO : Epoch 1890 | loss: 0.0311645 | val_loss: 0.0311817 | Time: 18342.2 ms [2021-09-19 17:15:15 main:574] : INFO : Epoch 1891 | loss: 0.0311639 | val_loss: 0.0311772 | Time: 19250.2 ms [2021-09-19 17:15:33 main:574] : INFO : Epoch 1892 | loss: 0.031162 | val_loss: 0.0311828 | Time: 18534.1 ms [2021-09-19 17:15:51 main:574] : INFO : Epoch 1893 | loss: 0.0311624 | val_loss: 0.0311808 | Time: 18079.2 ms [2021-09-19 17:16:10 main:574] : INFO : Epoch 1894 | loss: 0.0311603 | val_loss: 0.0311754 | Time: 18036.2 ms [2021-09-19 17:16:28 main:574] : INFO : Epoch 1895 | loss: 0.0311601 | val_loss: 0.031183 | Time: 17883.8 ms [2021-09-19 17:16:47 main:574] : INFO : Epoch 1896 | loss: 0.0311612 | val_loss: 0.0311761 | Time: 19130 ms [2021-09-19 17:17:06 main:574] : INFO : Epoch 1897 | loss: 0.0311607 | val_loss: 0.0311738 | Time: 18932.3 ms [2021-09-19 17:17:23 main:574] : INFO : Epoch 1898 | loss: 0.0311599 | val_loss: 0.0311805 | Time: 17544.5 ms [2021-09-19 17:17:41 main:574] : INFO : Epoch 1899 | loss: 0.0311593 | val_loss: 0.0311769 | Time: 16997.1 ms [2021-09-19 17:17:58 main:574] : INFO : Epoch 1900 | loss: 0.0311652 | val_loss: 0.0311868 | Time: 16902.6 ms [2021-09-19 17:18:17 main:574] : INFO : Epoch 1901 | loss: 0.0311679 | val_loss: 0.0311763 | Time: 19303 ms [2021-09-19 17:18:35 main:574] : INFO : Epoch 1902 | loss: 0.0311624 | val_loss: 0.0311814 | Time: 18358.4 ms [2021-09-19 17:18:54 main:574] : INFO : Epoch 1903 | loss: 0.0311604 | val_loss: 0.0311736 | Time: 18193.9 ms [2021-09-19 17:19:13 main:574] : INFO : Epoch 1904 | loss: 0.0311592 | val_loss: 0.0311731 | Time: 18983.3 ms [2021-09-19 17:19:31 main:574] : INFO : Epoch 1905 | loss: 0.0311579 | val_loss: 0.0311741 | Time: 18268.5 ms [2021-09-19 17:19:50 main:574] : INFO : Epoch 1906 | loss: 0.0311584 | val_loss: 0.0311739 | Time: 18411.9 ms [2021-09-19 17:20:08 main:574] : INFO : Epoch 1907 | loss: 0.0311574 | val_loss: 0.0311741 | Time: 17918.9 ms [2021-09-19 17:20:27 main:574] : INFO : Epoch 1908 | loss: 0.0311568 | val_loss: 0.0311736 | Time: 19053.3 ms [2021-09-19 17:20:46 main:574] : INFO : Epoch 1909 | loss: 0.0311574 | val_loss: 0.0311739 | Time: 18874.9 ms [2021-09-19 17:21:05 main:574] : INFO : Epoch 1910 | loss: 0.0311571 | val_loss: 0.0311742 | Time: 19481.2 ms [2021-09-19 17:21:24 main:574] : INFO : Epoch 1911 | loss: 0.0311582 | val_loss: 0.0311791 | Time: 17984.3 ms [2021-09-19 17:21:42 main:574] : INFO : Epoch 1912 | loss: 0.0311594 | val_loss: 0.031174 | Time: 18794.4 ms [2021-09-19 17:22:02 main:574] : INFO : Epoch 1913 | loss: 0.0311588 | val_loss: 0.0311741 | Time: 19284.1 ms [2021-09-19 17:22:20 main:574] : INFO : Epoch 1914 | loss: 0.0311576 | val_loss: 0.0311747 | Time: 17900.6 ms [2021-09-19 17:22:38 main:574] : INFO : Epoch 1915 | loss: 0.0311571 | val_loss: 0.0311753 | Time: 18494.1 ms [2021-09-19 17:22:58 main:574] : INFO : Epoch 1916 | loss: 0.0311576 | val_loss: 0.0311747 | Time: 19040.1 ms [2021-09-19 17:23:17 main:574] : INFO : Epoch 1917 | loss: 0.0311568 | val_loss: 0.0311743 | Time: 19482.1 ms [2021-09-19 17:23:36 main:574] : INFO : Epoch 1918 | loss: 0.0311585 | val_loss: 0.0311787 | Time: 19068.5 ms [2021-09-19 17:23:55 main:574] : INFO : Epoch 1919 | loss: 0.0311566 | val_loss: 0.0311731 | Time: 18725.4 ms [2021-09-19 17:24:14 main:574] : INFO : Epoch 1920 | loss: 0.0311581 | val_loss: 0.0311802 | Time: 19216.3 ms [2021-09-19 17:24:34 main:574] : INFO : Epoch 1921 | loss: 0.0311573 | val_loss: 0.0311815 | Time: 19081.1 ms [2021-09-19 17:24:53 main:574] : INFO : Epoch 1922 | loss: 0.0311614 | val_loss: 0.0311776 | Time: 19441.3 ms [2021-09-19 17:25:12 main:574] : INFO : Epoch 1923 | loss: 0.0311579 | val_loss: 0.0311761 | Time: 18703.7 ms [2021-09-19 17:25:31 main:574] : INFO : Epoch 1924 | loss: 0.0311553 | val_loss: 0.0311732 | Time: 18983.2 ms [2021-09-19 17:25:50 main:574] : INFO : Epoch 1925 | loss: 0.0311541 | val_loss: 0.0311754 | Time: 19321.2 ms [2021-09-19 17:26:09 main:574] : INFO : Epoch 1926 | loss: 0.0311552 | val_loss: 0.0311774 | Time: 18284.9 ms [2021-09-19 17:26:27 main:574] : INFO : Epoch 1927 | loss: 0.0311542 | val_loss: 0.0311761 | Time: 18497.6 ms [2021-09-19 17:26:47 main:574] : INFO : Epoch 1928 | loss: 0.0311546 | val_loss: 0.0311759 | Time: 19417 ms [2021-09-19 17:27:06 main:574] : INFO : Epoch 1929 | loss: 0.0311546 | val_loss: 0.0311751 | Time: 18693.2 ms [2021-09-19 17:27:25 main:574] : INFO : Epoch 1930 | loss: 0.0311548 | val_loss: 0.0311732 | Time: 19161.6 ms [2021-09-19 17:27:43 main:574] : INFO : Epoch 1931 | loss: 0.031154 | val_loss: 0.0311748 | Time: 18244.4 ms [2021-09-19 17:28:03 main:574] : INFO : Epoch 1932 | loss: 0.0311551 | val_loss: 0.0311785 | Time: 19419.6 ms [2021-09-19 17:28:21 main:574] : INFO : Epoch 1933 | loss: 0.0311561 | val_loss: 0.0311781 | Time: 18632.1 ms [2021-09-19 17:28:40 main:574] : INFO : Epoch 1934 | loss: 0.0311561 | val_loss: 0.0311751 | Time: 18146 ms [2021-09-19 17:28:59 main:574] : INFO : Epoch 1935 | loss: 0.031154 | val_loss: 0.0311772 | Time: 18432.7 ms [2021-09-19 17:29:18 main:574] : INFO : Epoch 1936 | loss: 0.0311526 | val_loss: 0.0311765 | Time: 19334.8 ms [2021-09-19 17:29:37 main:574] : INFO : Epoch 1937 | loss: 0.031153 | val_loss: 0.0311742 | Time: 19049.8 ms [2021-09-19 17:29:56 main:574] : INFO : Epoch 1938 | loss: 0.0311563 | val_loss: 0.0311792 | Time: 18977.9 ms [2021-09-19 17:30:15 main:574] : INFO : Epoch 1939 | loss: 0.0311553 | val_loss: 0.0311749 | Time: 18346.5 ms [2021-09-19 17:30:33 main:574] : INFO : Epoch 1940 | loss: 0.0311512 | val_loss: 0.031176 | Time: 18064.3 ms [2021-09-19 17:30:51 main:574] : INFO : Epoch 1941 | loss: 0.0311532 | val_loss: 0.0311766 | Time: 18267.1 ms [2021-09-19 17:31:10 main:574] : INFO : Epoch 1942 | loss: 0.0311521 | val_loss: 0.0311759 | Time: 19096.7 ms [2021-09-19 17:31:28 main:574] : INFO : Epoch 1943 | loss: 0.0311522 | val_loss: 0.0311734 | Time: 17916 ms [2021-09-19 17:31:47 main:574] : INFO : Epoch 1944 | loss: 0.0311517 | val_loss: 0.0311759 | Time: 18627.7 ms [2021-09-19 17:32:06 main:574] : INFO : Epoch 1945 | loss: 0.0311515 | val_loss: 0.0311764 | Time: 18538.4 ms [2021-09-19 17:32:25 main:574] : INFO : Epoch 1946 | loss: 0.0311525 | val_loss: 0.0311817 | Time: 19195.4 ms [2021-09-19 17:32:45 main:574] : INFO : Epoch 1947 | loss: 0.0311578 | val_loss: 0.0311798 | Time: 19701 ms [2021-09-19 17:33:05 main:574] : INFO : Epoch 1948 | loss: 0.0311568 | val_loss: 0.0311754 | Time: 20142.1 ms [2021-09-19 17:33:25 main:574] : INFO : Epoch 1949 | loss: 0.0311511 | val_loss: 0.0311799 | Time: 19581.7 ms [2021-09-19 17:33:42 main:574] : INFO : Epoch 1950 | loss: 0.0311506 | val_loss: 0.0311778 | Time: 17292.5 ms [2021-09-19 17:34:00 main:574] : INFO : Epoch 1951 | loss: 0.031151 | val_loss: 0.031178 | Time: 17598.9 ms [2021-09-19 17:34:18 main:574] : INFO : Epoch 1952 | loss: 0.0311525 | val_loss: 0.0311744 | Time: 17506 ms [2021-09-19 17:34:33 main:574] : INFO : Epoch 1953 | loss: 0.0311532 | val_loss: 0.0311769 | Time: 15656 ms [2021-09-19 17:34:48 main:574] : INFO : Epoch 1954 | loss: 0.0311513 | val_loss: 0.0311759 | Time: 14855.3 ms [2021-09-19 17:35:04 main:574] : INFO : Epoch 1955 | loss: 0.0311518 | val_loss: 0.0311793 | Time: 15784.4 ms [2021-09-19 17:35:20 main:574] : INFO : Epoch 1956 | loss: 0.031154 | val_loss: 0.03118 | Time: 15512.6 ms [2021-09-19 17:35:36 main:574] : INFO : Epoch 1957 | loss: 0.0311533 | val_loss: 0.031177 | Time: 15977.3 ms [2021-09-19 17:35:51 main:574] : INFO : Epoch 1958 | loss: 0.0311518 | val_loss: 0.0311784 | Time: 15253.5 ms [2021-09-19 17:36:07 main:574] : INFO : Epoch 1959 | loss: 0.0311523 | val_loss: 0.0311743 | Time: 15683.2 ms [2021-09-19 17:36:23 main:574] : INFO : Epoch 1960 | loss: 0.0311531 | val_loss: 0.0311755 | Time: 15705.7 ms [2021-09-19 17:36:38 main:574] : INFO : Epoch 1961 | loss: 0.0311492 | val_loss: 0.0311744 | Time: 15371.5 ms [2021-09-19 17:36:54 main:574] : INFO : Epoch 1962 | loss: 0.0311499 | val_loss: 0.0311745 | Time: 15607.6 ms [2021-09-19 17:37:09 main:574] : INFO : Epoch 1963 | loss: 0.0311503 | val_loss: 0.0311752 | Time: 15098.7 ms [2021-09-19 17:37:25 main:574] : INFO : Epoch 1964 | loss: 0.031152 | val_loss: 0.0311877 | Time: 15591.8 ms [2021-09-19 17:37:40 main:574] : INFO : Epoch 1965 | loss: 0.0311511 | val_loss: 0.0311789 | Time: 15064.9 ms [2021-09-19 17:37:55 main:574] : INFO : Epoch 1966 | loss: 0.0311508 | val_loss: 0.0311819 | Time: 15515.1 ms [2021-09-19 17:38:11 main:574] : INFO : Epoch 1967 | loss: 0.0311505 | val_loss: 0.0311809 | Time: 15317.9 ms [2021-09-19 17:38:27 main:574] : INFO : Epoch 1968 | loss: 0.0311518 | val_loss: 0.0311792 | Time: 16033.5 ms [2021-09-19 17:38:43 main:574] : INFO : Epoch 1969 | loss: 0.0311504 | val_loss: 0.0311763 | Time: 15755.6 ms [2021-09-19 17:38:58 main:574] : INFO : Epoch 1970 | loss: 0.0311493 | val_loss: 0.0311753 | Time: 15393 ms [2021-09-19 17:39:14 main:574] : INFO : Epoch 1971 | loss: 0.031149 | val_loss: 0.0311831 | Time: 16060 ms [2021-09-19 17:39:30 main:574] : INFO : Epoch 1972 | loss: 0.03115 | val_loss: 0.0311796 | Time: 15315.1 ms [2021-09-19 17:39:45 main:574] : INFO : Epoch 1973 | loss: 0.0311486 | val_loss: 0.0311766 | Time: 15664 ms [2021-09-19 17:40:01 main:574] : INFO : Epoch 1974 | loss: 0.0311488 | val_loss: 0.0311769 | Time: 15253.5 ms [2021-09-19 17:40:16 main:574] : INFO : Epoch 1975 | loss: 0.0311477 | val_loss: 0.0311793 | Time: 15449.7 ms [2021-09-19 17:40:32 main:574] : INFO : Epoch 1976 | loss: 0.0311475 | val_loss: 0.0311746 | Time: 15554.8 ms [2021-09-19 17:40:48 main:574] : INFO : Epoch 1977 | loss: 0.0311482 | val_loss: 0.0311763 | Time: 15835.5 ms [2021-09-19 17:41:04 main:574] : INFO : Epoch 1978 | loss: 0.0311484 | val_loss: 0.0311766 | Time: 15688.6 ms [2021-09-19 17:41:19 main:574] : INFO : Epoch 1979 | loss: 0.0311511 | val_loss: 0.0311791 | Time: 15355 ms [2021-09-19 17:41:35 main:574] : INFO : Epoch 1980 | loss: 0.0311505 | val_loss: 0.0311756 | Time: 15760.7 ms [2021-09-19 17:41:51 main:574] : INFO : Epoch 1981 | loss: 0.031149 | val_loss: 0.0311774 | Time: 15941.1 ms [2021-09-19 17:42:07 main:574] : INFO : Epoch 1982 | loss: 0.0311481 | val_loss: 0.0311814 | Time: 15694.5 ms [2021-09-19 17:42:22 main:574] : INFO : Epoch 1983 | loss: 0.0311486 | val_loss: 0.0311777 | Time: 15141.2 ms [2021-09-19 17:42:38 main:574] : INFO : Epoch 1984 | loss: 0.0311482 | val_loss: 0.0311787 | Time: 15754.2 ms [2021-09-19 17:42:53 main:574] : INFO : Epoch 1985 | loss: 0.0311498 | val_loss: 0.0311883 | Time: 14960.5 ms [2021-09-19 17:43:08 main:574] : INFO : Epoch 1986 | loss: 0.0311528 | val_loss: 0.0311784 | Time: 15530.1 ms [2021-09-19 17:43:24 main:574] : INFO : Epoch 1987 | loss: 0.0311515 | val_loss: 0.0311757 | Time: 15757 ms [2021-09-19 17:43:39 main:574] : INFO : Epoch 1988 | loss: 0.0311488 | val_loss: 0.0311817 | Time: 15177.9 ms [2021-09-19 17:43:55 main:574] : INFO : Epoch 1989 | loss: 0.0311482 | val_loss: 0.0311756 | Time: 15892.3 ms [2021-09-19 17:44:11 main:574] : INFO : Epoch 1990 | loss: 0.0311495 | val_loss: 0.031176 | Time: 15540.9 ms [2021-09-19 17:44:27 main:574] : INFO : Epoch 1991 | loss: 0.0311468 | val_loss: 0.0311765 | Time: 15889.9 ms [2021-09-19 17:44:42 main:574] : INFO : Epoch 1992 | loss: 0.0311503 | val_loss: 0.0311792 | Time: 15218.3 ms [2021-09-19 17:44:58 main:574] : INFO : Epoch 1993 | loss: 0.0311477 | val_loss: 0.0311814 | Time: 15760.9 ms [2021-09-19 17:45:14 main:574] : INFO : Epoch 1994 | loss: 0.0311474 | val_loss: 0.0311766 | Time: 15520.2 ms [2021-09-19 17:45:29 main:574] : INFO : Epoch 1995 | loss: 0.0311475 | val_loss: 0.0311777 | Time: 15366.2 ms [2021-09-19 17:45:45 main:574] : INFO : Epoch 1996 | loss: 0.0311486 | val_loss: 0.0311842 | Time: 16076.3 ms [2021-09-19 17:46:01 main:574] : INFO : Epoch 1997 | loss: 0.0311497 | val_loss: 0.0311875 | Time: 15078.3 ms [2021-09-19 17:46:16 main:574] : INFO : Epoch 1998 | loss: 0.0311482 | val_loss: 0.0311847 | Time: 15620.8 ms [2021-09-19 17:46:32 main:574] : INFO : Epoch 1999 | loss: 0.0311459 | val_loss: 0.0311792 | Time: 15508.1 ms [2021-09-19 17:46:48 main:574] : INFO : Epoch 2000 | loss: 0.0311476 | val_loss: 0.031181 | Time: 15916.9 ms [2021-09-19 17:47:03 main:574] : INFO : Epoch 2001 | loss: 0.0311476 | val_loss: 0.0311753 | Time: 15516.9 ms [2021-09-19 17:47:19 main:574] : INFO : Epoch 2002 | loss: 0.0311468 | val_loss: 0.0311793 | Time: 15162.9 ms [2021-09-19 17:47:34 main:574] : INFO : Epoch 2003 | loss: 0.0311465 | val_loss: 0.0311773 | Time: 15463.9 ms [2021-09-19 17:47:49 main:574] : INFO : Epoch 2004 | loss: 0.0311466 | val_loss: 0.0311869 | Time: 14949.8 ms [2021-09-19 17:48:06 main:574] : INFO : Epoch 2005 | loss: 0.031146 | val_loss: 0.0311788 | Time: 16224.5 ms [2021-09-19 17:48:21 main:574] : INFO : Epoch 2006 | loss: 0.0311451 | val_loss: 0.0311765 | Time: 15431.5 ms [2021-09-19 17:48:37 main:574] : INFO : Epoch 2007 | loss: 0.0311466 | val_loss: 0.0311797 | Time: 15666.7 ms [2021-09-19 17:48:52 main:574] : INFO : Epoch 2008 | loss: 0.0311476 | val_loss: 0.0311775 | Time: 15260.1 ms [2021-09-19 17:49:08 main:574] : INFO : Epoch 2009 | loss: 0.0311476 | val_loss: 0.0311761 | Time: 15940.9 ms [2021-09-19 17:49:24 main:574] : INFO : Epoch 2010 | loss: 0.0311495 | val_loss: 0.0311783 | Time: 15364 ms [2021-09-19 17:49:39 main:574] : INFO : Epoch 2011 | loss: 0.0311466 | val_loss: 0.0311856 | Time: 15661.8 ms [2021-09-19 17:49:55 main:574] : INFO : Epoch 2012 | loss: 0.0311455 | val_loss: 0.0311779 | Time: 15667.1 ms [2021-09-19 17:50:11 main:574] : INFO : Epoch 2013 | loss: 0.0311485 | val_loss: 0.0311813 | Time: 15524.3 ms [2021-09-19 17:50:26 main:574] : INFO : Epoch 2014 | loss: 0.0311475 | val_loss: 0.0311786 | Time: 15421.3 ms [2021-09-19 17:50:41 main:574] : INFO : Epoch 2015 | loss: 0.0311461 | val_loss: 0.0311825 | Time: 15073 ms [2021-09-19 17:50:57 main:574] : INFO : Epoch 2016 | loss: 0.0311466 | val_loss: 0.0311788 | Time: 15990 ms [2021-09-19 17:51:13 main:574] : INFO : Epoch 2017 | loss: 0.031148 | val_loss: 0.0311816 | Time: 15633.1 ms [2021-09-19 17:51:29 main:574] : INFO : Epoch 2018 | loss: 0.0311488 | val_loss: 0.0311852 | Time: 15456.6 ms [2021-09-19 17:51:44 main:574] : INFO : Epoch 2019 | loss: 0.0311489 | val_loss: 0.0311789 | Time: 15225.3 ms [2021-09-19 17:51:59 main:574] : INFO : Epoch 2020 | loss: 0.0311466 | val_loss: 0.0311762 | Time: 15060.7 ms [2021-09-19 17:52:15 main:574] : INFO : Epoch 2021 | loss: 0.0311518 | val_loss: 0.0311754 | Time: 15682.4 ms [2021-09-19 17:52:30 main:574] : INFO : Epoch 2022 | loss: 0.0311539 | val_loss: 0.0311831 | Time: 14776.6 ms [2021-09-19 17:52:45 main:574] : INFO : Epoch 2023 | loss: 0.0311493 | val_loss: 0.0311851 | Time: 15398.5 ms [2021-09-19 17:53:00 main:574] : INFO : Epoch 2024 | loss: 0.0311476 | val_loss: 0.0311805 | Time: 15338.1 ms [2021-09-19 17:53:16 main:574] : INFO : Epoch 2025 | loss: 0.031147 | val_loss: 0.0311821 | Time: 15573.6 ms [2021-09-19 17:53:32 main:574] : INFO : Epoch 2026 | loss: 0.0311458 | val_loss: 0.031179 | Time: 15436.9 ms [2021-09-19 17:53:47 main:574] : INFO : Epoch 2027 | loss: 0.0311438 | val_loss: 0.0311836 | Time: 15464.4 ms [2021-09-19 17:54:02 main:574] : INFO : Epoch 2028 | loss: 0.0311444 | val_loss: 0.0311805 | Time: 15161.5 ms [2021-09-19 17:54:18 main:574] : INFO : Epoch 2029 | loss: 0.0311444 | val_loss: 0.0311836 | Time: 15359.5 ms [2021-09-19 17:54:33 main:574] : INFO : Epoch 2030 | loss: 0.0311439 | val_loss: 0.0311819 | Time: 15441.5 ms [2021-09-19 17:54:49 main:574] : INFO : Epoch 2031 | loss: 0.0311473 | val_loss: 0.0311815 | Time: 15453.8 ms [2021-09-19 17:55:04 main:574] : INFO : Epoch 2032 | loss: 0.0311442 | val_loss: 0.0311817 | Time: 15248.6 ms [2021-09-19 17:55:20 main:574] : INFO : Epoch 2033 | loss: 0.0311439 | val_loss: 0.0311835 | Time: 15371.5 ms [2021-09-19 17:55:35 main:574] : INFO : Epoch 2034 | loss: 0.0311439 | val_loss: 0.0311817 | Time: 15459 ms [2021-09-19 17:55:51 main:574] : INFO : Epoch 2035 | loss: 0.031144 | val_loss: 0.0311836 | Time: 15182.7 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 1060 6GB) [2021-09-19 18:07:10 main:435] : INFO : Set logging level to 1 [2021-09-19 18:07:10 main:441] : INFO : Running in BOINC Client mode [2021-09-19 18:07:10 main:444] : INFO : Resolving all filenames [2021-09-19 18:07:10 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1) [2021-09-19 18:07:10 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1631733426-22405-0_0_r1469092636_1 (exists = 1) [2021-09-19 18:07:10 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1631733426-22405-0_0_r1469092636_0 (exists = 0) [2021-09-19 18:07:10 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2021-09-19 18:07:10 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2021-09-19 18:07:10 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 [2021-09-19 18:07:10 main:474] : INFO : Configuration: [2021-09-19 18:07:10 main:475] : INFO : Model type: GRU [2021-09-19 18:07:11 main:476] : INFO : Validation Loss Threshold: 0.0001 [2021-09-19 18:07:11 main:477] : INFO : Max Epochs: 2048 [2021-09-19 18:07:11 main:478] : INFO : Batch Size: 128 [2021-09-19 18:07:11 main:479] : INFO : Learning Rate: 0.01 [2021-09-19 18:07:11 main:480] : INFO : Patience: 10 [2021-09-19 18:07:11 main:481] : INFO : Hidden Width: 12 [2021-09-19 18:07:11 main:482] : INFO : # Recurrent Layers: 4 [2021-09-19 18:07:11 main:483] : INFO : # Backend Layers: 4 [2021-09-19 18:07:11 main:484] : INFO : # Threads: 1 [2021-09-19 18:07:11 main:486] : INFO : Preparing Dataset [2021-09-19 18:07:11 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-09-19 18:07:12 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-09-19 18:07:15 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-09-19 18:07:16 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-09-19 18:07:16 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-09-19 18:07:16 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-09-19 18:07:16 main:494] : INFO : Creating Model [2021-09-19 18:07:16 main:507] : INFO : Preparing config file [2021-09-19 18:07:16 main:511] : INFO : Found checkpoint, attempting to load... [2021-09-19 18:07:16 main:512] : INFO : Loading config [2021-09-19 18:07:16 main:514] : INFO : Loading state [2021-09-19 18:07:20 main:559] : INFO : Loading DataLoader into Memory [2021-09-19 18:07:20 main:562] : INFO : Starting Training [2021-09-19 18:07:40 main:574] : INFO : Epoch 2035 | loss: 0.0311893 | val_loss: 0.0311898 | Time: 20145.8 ms [2021-09-19 18:07:59 main:574] : INFO : Epoch 2036 | loss: 0.0311567 | val_loss: 0.031181 | Time: 18822.7 ms [2021-09-19 18:08:22 main:574] : INFO : Epoch 2037 | loss: 0.0311505 | val_loss: 0.0311795 | Time: 22569.4 ms [2021-09-19 18:08:41 main:574] : INFO : Epoch 2038 | loss: 0.0311495 | val_loss: 0.0311761 | Time: 19192.8 ms [2021-09-19 18:09:00 main:574] : INFO : Epoch 2039 | loss: 0.0311472 | val_loss: 0.0311776 | Time: 19185.4 ms [2021-09-19 18:09:20 main:574] : INFO : Epoch 2040 | loss: 0.0311474 | val_loss: 0.0311766 | Time: 19327.1 ms [2021-09-19 18:09:39 main:574] : INFO : Epoch 2041 | loss: 0.0311472 | val_loss: 0.0311792 | Time: 19609.2 ms [2021-09-19 18:09:59 main:574] : INFO : Epoch 2042 | loss: 0.0311461 | val_loss: 0.0311819 | Time: 19514.1 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 1060 6GB) [2021-09-19 18:12:16 main:435] : INFO : Set logging level to 1 [2021-09-19 18:12:17 main:441] : INFO : Running in BOINC Client mode [2021-09-19 18:12:17 main:444] : INFO : Resolving all filenames [2021-09-19 18:12:17 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1) [2021-09-19 18:12:17 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1631733426-22405-0_0_r1469092636_1 (exists = 1) [2021-09-19 18:12:17 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1631733426-22405-0_0_r1469092636_0 (exists = 0) [2021-09-19 18:12:17 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2021-09-19 18:12:17 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2021-09-19 18:12:17 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 [2021-09-19 18:12:17 main:474] : INFO : Configuration: [2021-09-19 18:12:17 main:475] : INFO : Model type: GRU [2021-09-19 18:12:17 main:476] : INFO : Validation Loss Threshold: 0.0001 [2021-09-19 18:12:17 main:477] : INFO : Max Epochs: 2048 [2021-09-19 18:12:17 main:478] : INFO : Batch Size: 128 [2021-09-19 18:12:17 main:479] : INFO : Learning Rate: 0.01 [2021-09-19 18:12:17 main:480] : INFO : Patience: 10 [2021-09-19 18:12:17 main:481] : INFO : Hidden Width: 12 [2021-09-19 18:12:17 main:482] : INFO : # Recurrent Layers: 4 [2021-09-19 18:12:17 main:483] : INFO : # Backend Layers: 4 [2021-09-19 18:12:17 main:484] : INFO : # Threads: 1 [2021-09-19 18:12:17 main:486] : INFO : Preparing Dataset [2021-09-19 18:12:17 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-09-19 18:12:18 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-09-19 18:12:23 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-09-19 18:12:23 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-09-19 18:12:24 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-09-19 18:12:24 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-09-19 18:12:24 main:494] : INFO : Creating Model [2021-09-19 18:12:24 main:507] : INFO : Preparing config file [2021-09-19 18:12:24 main:511] : INFO : Found checkpoint, attempting to load... [2021-09-19 18:12:24 main:512] : INFO : Loading config [2021-09-19 18:12:24 main:514] : INFO : Loading state [2021-09-19 18:12:30 main:559] : INFO : Loading DataLoader into Memory [2021-09-19 18:12:30 main:562] : INFO : Starting Training [2021-09-19 18:12:50 main:574] : INFO : Epoch 2042 | loss: 0.0312284 | val_loss: 0.0311949 | Time: 20008.9 ms [2021-09-19 18:13:09 main:574] : INFO : Epoch 2043 | loss: 0.0311609 | val_loss: 0.0311766 | Time: 18913.3 ms [2021-09-19 18:13:28 main:574] : INFO : Epoch 2044 | loss: 0.0311515 | val_loss: 0.0311748 | Time: 19070.1 ms [2021-09-19 18:13:48 main:574] : INFO : Epoch 2045 | loss: 0.0311481 | val_loss: 0.0311742 | Time: 20078.1 ms [2021-09-19 18:14:07 main:574] : INFO : Epoch 2046 | loss: 0.0311468 | val_loss: 0.0311776 | Time: 19358.4 ms [2021-09-19 18:14:26 main:574] : INFO : Epoch 2047 | loss: 0.0311485 | val_loss: 0.031178 | Time: 18822 ms [2021-09-19 18:14:45 main:574] : INFO : Epoch 2048 | loss: 0.0311487 | val_loss: 0.0311746 | Time: 18748.8 ms [2021-09-19 18:14:45 main:597] : INFO : Saving trained model to model-final.pt, val_loss 0.0311746 [2021-09-19 18:14:45 main:603] : INFO : Saving end state to config to file [2021-09-19 18:14:46 main:608] : INFO : Success, exiting.. 18:14:46 (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)