Task 10272650
| Name | ParityModified-1639955352-9975-1-0_0 |
| Workunit | 7627153 |
| Created | 30 Dec 2021, 23:59:34 UTC |
| Sent | 15 Jan 2022, 4:55:30 UTC |
| Report deadline | 23 Jan 2022, 4:55:30 UTC |
| Received | 26 Jun 2022, 2:40:50 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 18331 |
| Run time | 2 hours 54 min 59 sec |
| CPU time | 2 hours 24 min 23 sec |
| Validate state | Task was reported too late to validate |
| Credit | 0.00 |
| Device peak FLOPS | 1,177.18 GFLOPS |
| Application version | Machine Learning Dataset Generator (GPU) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 1.64 GB |
| Peak swap size | 3.59 GB |
| Peak disk usage | 1.54 GB |
Stderr output
<core_client_version>7.16.20</core_client_version> <![CDATA[ <stderr_txt> ime: 8666.46 ms [2022-06-21 14:30:17 main:574] : INFO : Epoch 1660 | loss: 0.0311875 | val_loss: 0.0312237 | Time: 5230.21 ms [2022-06-21 14:30:23 main:574] : INFO : Epoch 1661 | loss: 0.0312361 | val_loss: 0.0312435 | Time: 5701.59 ms [2022-06-21 14:30:28 main:574] : INFO : Epoch 1662 | loss: 0.0312449 | val_loss: 0.0312349 | Time: 4593.16 ms [2022-06-21 14:30:32 main:574] : INFO : Epoch 1663 | loss: 0.0312317 | val_loss: 0.0312246 | Time: 4490.13 ms [2022-06-21 14:30:37 main:574] : INFO : Epoch 1664 | loss: 0.0312299 | val_loss: 0.0312251 | Time: 4239.38 ms [2022-06-21 14:30:41 main:574] : INFO : Epoch 1665 | loss: 0.0312237 | val_loss: 0.0312203 | Time: 4325.81 ms [2022-06-21 14:30:45 main:574] : INFO : Epoch 1666 | loss: 0.0312198 | val_loss: 0.0312144 | Time: 4382.95 ms [2022-06-21 14:30:50 main:574] : INFO : Epoch 1667 | loss: 0.0312166 | val_loss: 0.0312141 | Time: 4346.57 ms [2022-06-21 14:30:54 main:574] : INFO : Epoch 1668 | loss: 0.0312136 | val_loss: 0.0312124 | Time: 4244 ms [2022-06-21 14:30:58 main:574] : INFO : Epoch 1669 | loss: 0.0312143 | val_loss: 0.0312115 | Time: 4296.57 ms [2022-06-21 14:31:03 main:574] : INFO : Epoch 1670 | loss: 0.0312145 | val_loss: 0.0312105 | Time: 4318.91 ms [2022-06-21 14:31:07 main:574] : INFO : Epoch 1671 | loss: 0.0312127 | val_loss: 0.0312099 | Time: 4385.2 ms [2022-06-21 14:31:12 main:574] : INFO : Epoch 1672 | loss: 0.0312113 | val_loss: 0.0312102 | Time: 4259.72 ms [2022-06-21 14:31:16 main:574] : INFO : Epoch 1673 | loss: 0.03121 | val_loss: 0.0312081 | Time: 4346.92 ms [2022-06-21 14:31:20 main:574] : INFO : Epoch 1674 | loss: 0.0312092 | val_loss: 0.0312075 | Time: 4378.48 ms [2022-06-21 14:31:25 main:574] : INFO : Epoch 1675 | loss: 0.031214 | val_loss: 0.0312126 | Time: 4518.55 ms [2022-06-21 14:31:29 main:574] : INFO : Epoch 1676 | loss: 0.0312107 | val_loss: 0.0312087 | Time: 4247.66 ms [2022-06-21 14:31:34 main:574] : INFO : Epoch 1677 | loss: 0.0312083 | val_loss: 0.0312076 | Time: 4399.92 ms [2022-06-21 14:31:38 main:574] : INFO : Epoch 1678 | loss: 0.0312072 | val_loss: 0.0312107 | Time: 4169.44 ms [2022-06-21 14:31:43 main:574] : INFO : Epoch 1679 | loss: 0.0312085 | val_loss: 0.0312064 | Time: 4309.55 ms [2022-06-21 14:31:47 main:574] : INFO : Epoch 1680 | loss: 0.0312071 | val_loss: 0.0312052 | Time: 4294.78 ms [2022-06-21 14:31:51 main:574] : INFO : Epoch 1681 | loss: 0.0312059 | val_loss: 0.031205 | Time: 4378.49 ms [2022-06-21 14:31:56 main:574] : INFO : Epoch 1682 | loss: 0.0312087 | val_loss: 0.0312056 | Time: 4358.08 ms [2022-06-21 14:32:00 main:574] : INFO : Epoch 1683 | loss: 0.0312068 | val_loss: 0.0312046 | Time: 4313.81 ms [2022-06-21 14:32:05 main:574] : INFO : Epoch 1684 | loss: 0.0312052 | val_loss: 0.031208 | Time: 4291.53 ms [2022-06-21 14:32:09 main:574] : INFO : Epoch 1685 | loss: 0.0312058 | val_loss: 0.0312084 | Time: 4453.03 ms [2022-06-21 14:32:14 main:574] : INFO : Epoch 1686 | loss: 0.0312054 | val_loss: 0.0312047 | Time: 4335.18 ms [2022-06-21 14:32:18 main:574] : INFO : Epoch 1687 | loss: 0.0312075 | val_loss: 0.0312057 | Time: 4376.83 ms [2022-06-21 14:32:22 main:574] : INFO : Epoch 1688 | loss: 0.0312058 | val_loss: 0.031205 | Time: 4176.13 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce MX150) [2022-06-21 22:21:56 main:435] : INFO : Set logging level to 1 [2022-06-21 22:21:56 main:441] : INFO : Running in BOINC Client mode [2022-06-21 22:21:57 main:444] : INFO : Resolving all filenames [2022-06-21 22:21:58 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-06-21 22:21:58 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-06-21 22:21:59 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-06-21 22:21:59 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1) [2022-06-21 22:22:00 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-06-21 22:22:00 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-06-21 22:22:00 main:474] : INFO : Configuration: [2022-06-21 22:22:00 main:475] : INFO : Model type: GRU [2022-06-21 22:22:00 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-06-21 22:22:00 main:477] : INFO : Max Epochs: 2048 [2022-06-21 22:22:00 main:478] : INFO : Batch Size: 128 [2022-06-21 22:22:00 main:479] : INFO : Learning Rate: 0.01 [2022-06-21 22:22:00 main:480] : INFO : Patience: 10 [2022-06-21 22:22:01 main:481] : INFO : Hidden Width: 12 [2022-06-21 22:22:01 main:482] : INFO : # Recurrent Layers: 4 [2022-06-21 22:22:01 main:483] : INFO : # Backend Layers: 4 [2022-06-21 22:22:01 main:484] : INFO : # Threads: 1 [2022-06-21 22:22:02 main:486] : INFO : Preparing Dataset [2022-06-21 22:22:02 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-06-21 22:22:03 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory [2022-06-21 22:22:08 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2022-06-21 22:22:09 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory [2022-06-21 22:22:10 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory [2022-06-21 22:22:10 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2022-06-21 22:22:12 main:494] : INFO : Creating Model [2022-06-21 22:22:13 main:507] : INFO : Preparing config file [2022-06-21 22:22:13 main:511] : INFO : Found checkpoint, attempting to load... [2022-06-21 22:22:15 main:512] : INFO : Loading config [2022-06-21 22:22:16 main:514] : INFO : Loading state [2022-06-21 22:22:19 main:559] : INFO : Loading DataLoader into Memory [2022-06-21 22:22:20 main:562] : INFO : Starting Training [2022-06-21 22:22:33 main:574] : INFO : Epoch 1681 | loss: 0.0312504 | val_loss: 0.0312016 | Time: 12006.7 ms [2022-06-21 22:22:37 main:574] : INFO : Epoch 1682 | loss: 0.0311932 | val_loss: 0.0311875 | Time: 4166.3 ms [2022-06-21 22:22:42 main:574] : INFO : Epoch 1683 | loss: 0.0311863 | val_loss: 0.0311891 | Time: 4304.95 ms [2022-06-21 22:22:46 main:574] : INFO : Epoch 1684 | loss: 0.0311848 | val_loss: 0.031187 | Time: 4132.94 ms [2022-06-21 22:22:51 main:574] : INFO : Epoch 1685 | loss: 0.0311819 | val_loss: 0.0311826 | Time: 4079.95 ms [2022-06-21 22:22:55 main:574] : INFO : Epoch 1686 | loss: 0.0311797 | val_loss: 0.0311848 | Time: 4194.25 ms [2022-06-21 22:22:59 main:574] : INFO : Epoch 1687 | loss: 0.0311783 | val_loss: 0.0311783 | Time: 4162.99 ms [2022-06-21 22:23:03 main:574] : INFO : Epoch 1688 | loss: 0.0311766 | val_loss: 0.0311768 | Time: 4109.18 ms [2022-06-21 22:23:07 main:574] : INFO : Epoch 1689 | loss: 0.0311757 | val_loss: 0.0311768 | Time: 4078.61 ms [2022-06-21 22:23:12 main:574] : INFO : Epoch 1690 | loss: 0.031175 | val_loss: 0.031178 | Time: 4170.53 ms [2022-06-21 22:23:16 main:574] : INFO : Epoch 1691 | loss: 0.0311738 | val_loss: 0.0311774 | Time: 4114.06 ms [2022-06-21 22:23:20 main:574] : INFO : Epoch 1692 | loss: 0.0311741 | val_loss: 0.0311717 | Time: 4098 ms [2022-06-21 22:23:24 main:574] : INFO : Epoch 1693 | loss: 0.0311708 | val_loss: 0.0311784 | Time: 4175.63 ms [2022-06-21 22:23:28 main:574] : INFO : Epoch 1694 | loss: 0.0311701 | val_loss: 0.031169 | Time: 4155.7 ms [2022-06-21 22:23:33 main:574] : INFO : Epoch 1695 | loss: 0.0311694 | val_loss: 0.0311751 | Time: 4130.99 ms [2022-06-21 22:23:37 main:574] : INFO : Epoch 1696 | loss: 0.0311676 | val_loss: 0.0311677 | Time: 4144.1 ms [2022-06-21 22:23:41 main:574] : INFO : Epoch 1697 | loss: 0.031167 | val_loss: 0.0311707 | Time: 4085.63 ms [2022-06-21 22:23:45 main:574] : INFO : Epoch 1698 | loss: 0.0311658 | val_loss: 0.0311675 | Time: 4134.96 ms [2022-06-21 22:23:49 main:574] : INFO : Epoch 1699 | loss: 0.0311652 | val_loss: 0.0311651 | Time: 4187.19 ms [2022-06-21 22:23:54 main:574] : INFO : Epoch 1700 | loss: 0.0311659 | val_loss: 0.0311668 | Time: 4104.36 ms [2022-06-21 22:23:58 main:574] : INFO : Epoch 1701 | loss: 0.0311648 | val_loss: 0.0311656 | Time: 4107.22 ms [2022-06-21 22:24:02 main:574] : INFO : Epoch 1702 | loss: 0.0311629 | val_loss: 0.0311654 | Time: 4213.85 ms [2022-06-21 22:24:06 main:574] : INFO : Epoch 1703 | loss: 0.0311648 | val_loss: 0.0311661 | Time: 4159.35 ms [2022-06-21 22:24:11 main:574] : INFO : Epoch 1704 | loss: 0.0311654 | val_loss: 0.0311701 | Time: 4116.88 ms [2022-06-21 22:24:15 main:574] : INFO : Epoch 1705 | loss: 0.0311684 | val_loss: 0.0311699 | Time: 4151.06 ms [2022-06-21 22:24:19 main:574] : INFO : Epoch 1706 | loss: 0.0311639 | val_loss: 0.0311657 | Time: 4105 ms [2022-06-21 22:24:23 main:574] : INFO : Epoch 1707 | loss: 0.0311628 | val_loss: 0.0311645 | Time: 4170.52 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce MX150) [2022-06-22 06:21:37 main:435] : INFO : Set logging level to 1 [2022-06-22 06:21:37 main:441] : INFO : Running in BOINC Client mode [2022-06-22 06:21:37 main:444] : INFO : Resolving all filenames [2022-06-22 06:21:37 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-06-22 06:21:37 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-06-22 06:21:38 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-06-22 06:21:39 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1) [2022-06-22 06:21:39 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-06-22 06:21:39 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-06-22 06:21:40 main:474] : INFO : Configuration: [2022-06-22 06:21:40 main:475] : INFO : Model type: GRU [2022-06-22 06:21:41 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-06-22 06:21:41 main:477] : INFO : Max Epochs: 2048 [2022-06-22 06:21:42 main:478] : INFO : Batch Size: 128 [2022-06-22 06:21:42 main:479] : INFO : Learning Rate: 0.01 [2022-06-22 06:21:42 main:480] : INFO : Patience: 10 [2022-06-22 06:21:42 main:481] : INFO : Hidden Width: 12 [2022-06-22 06:21:42 main:482] : INFO : # Recurrent Layers: 4 [2022-06-22 06:21:43 main:483] : INFO : # Backend Layers: 4 [2022-06-22 06:21:43 main:484] : INFO : # Threads: 1 [2022-06-22 06:21:44 main:486] : INFO : Preparing Dataset [2022-06-22 06:21:44 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-06-22 06:21:44 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory [2022-06-22 06:21:47 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2022-06-22 06:21:48 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory [2022-06-22 06:21:48 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory [2022-06-22 06:21:48 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2022-06-22 06:21:48 main:494] : INFO : Creating Model [2022-06-22 06:21:48 main:507] : INFO : Preparing config file [2022-06-22 06:21:49 main:511] : INFO : Found checkpoint, attempting to load... [2022-06-22 06:21:49 main:512] : INFO : Loading config [2022-06-22 06:21:49 main:514] : INFO : Loading state [2022-06-22 06:21:50 main:559] : INFO : Loading DataLoader into Memory [2022-06-22 06:21:50 main:562] : INFO : Starting Training [2022-06-22 06:21:54 main:574] : INFO : Epoch 1705 | loss: 0.0312113 | val_loss: 0.0311718 | Time: 4390.55 ms [2022-06-22 06:21:59 main:574] : INFO : Epoch 1706 | loss: 0.0311662 | val_loss: 0.0311649 | Time: 4112.07 ms [2022-06-22 06:22:03 main:574] : INFO : Epoch 1707 | loss: 0.0311625 | val_loss: 0.031163 | Time: 4152.76 ms [2022-06-22 06:22:08 main:574] : INFO : Epoch 1708 | loss: 0.0311611 | val_loss: 0.0311633 | Time: 4167.07 ms [2022-06-22 06:22:12 main:574] : INFO : Epoch 1709 | loss: 0.0311596 | val_loss: 0.0311664 | Time: 4097.67 ms [2022-06-22 06:22:16 main:574] : INFO : Epoch 1710 | loss: 0.0311605 | val_loss: 0.0311611 | Time: 4096.28 ms [2022-06-22 06:22:21 main:574] : INFO : Epoch 1711 | loss: 0.0311587 | val_loss: 0.0311652 | Time: 4162.73 ms [2022-06-22 06:22:25 main:574] : INFO : Epoch 1712 | loss: 0.031161 | val_loss: 0.0311706 | Time: 4154.18 ms [2022-06-22 06:22:29 main:574] : INFO : Epoch 1713 | loss: 0.0311605 | val_loss: 0.0311631 | Time: 4124.05 ms [2022-06-22 06:22:33 main:574] : INFO : Epoch 1714 | loss: 0.0311563 | val_loss: 0.0311619 | Time: 4120.73 ms [2022-06-22 06:22:37 main:574] : INFO : Epoch 1715 | loss: 0.0311556 | val_loss: 0.0311663 | Time: 4185.83 ms [2022-06-22 06:22:42 main:574] : INFO : Epoch 1716 | loss: 0.0311583 | val_loss: 0.0311644 | Time: 4122.08 ms [2022-06-22 06:22:46 main:574] : INFO : Epoch 1717 | loss: 0.0311553 | val_loss: 0.0311608 | Time: 4108.17 ms [2022-06-22 06:22:50 main:574] : INFO : Epoch 1718 | loss: 0.0311526 | val_loss: 0.0311617 | Time: 4116.91 ms [2022-06-22 06:22:54 main:574] : INFO : Epoch 1719 | loss: 0.0311531 | val_loss: 0.0311597 | Time: 4200.81 ms [2022-06-22 06:22:58 main:574] : INFO : Epoch 1720 | loss: 0.0311522 | val_loss: 0.0311593 | Time: 4154.97 ms [2022-06-22 06:23:03 main:574] : INFO : Epoch 1721 | loss: 0.0311514 | val_loss: 0.0311574 | Time: 4093.17 ms [2022-06-22 06:23:07 main:574] : INFO : Epoch 1722 | loss: 0.0311521 | val_loss: 0.0311653 | Time: 4069.08 ms [2022-06-22 06:23:11 main:574] : INFO : Epoch 1723 | loss: 0.0311518 | val_loss: 0.0311608 | Time: 4207.73 ms [2022-06-22 06:23:15 main:574] : INFO : Epoch 1724 | loss: 0.03115 | val_loss: 0.0311614 | Time: 4101.88 ms [2022-06-22 06:23:19 main:574] : INFO : Epoch 1725 | loss: 0.0311497 | val_loss: 0.0311576 | Time: 4088.12 ms [2022-06-22 06:23:24 main:574] : INFO : Epoch 1726 | loss: 0.0311496 | val_loss: 0.0311584 | Time: 4117.04 ms [2022-06-22 06:23:28 main:574] : INFO : Epoch 1727 | loss: 0.0311515 | val_loss: 0.0311627 | Time: 4187.62 ms [2022-06-22 06:23:32 main:574] : INFO : Epoch 1728 | loss: 0.03115 | val_loss: 0.0311595 | Time: 4106.19 ms [2022-06-22 06:23:36 main:574] : INFO : Epoch 1729 | loss: 0.0311493 | val_loss: 0.0311594 | Time: 4145.66 ms [2022-06-22 06:23:40 main:574] : INFO : Epoch 1730 | loss: 0.0311528 | val_loss: 0.0311604 | Time: 4092.3 ms [2022-06-22 06:23:45 main:574] : INFO : Epoch 1731 | loss: 0.0311536 | val_loss: 0.0311654 | Time: 4170.41 ms [2022-06-22 06:23:49 main:574] : INFO : Epoch 1732 | loss: 0.0311546 | val_loss: 0.0311636 | Time: 4138.92 ms [2022-06-22 06:23:53 main:574] : INFO : Epoch 1733 | loss: 0.0311521 | val_loss: 0.0311624 | Time: 4102.72 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce MX150) [2022-06-22 14:21:35 main:435] : INFO : Set logging level to 1 [2022-06-22 14:21:36 main:441] : INFO : Running in BOINC Client mode [2022-06-22 14:21:36 main:444] : INFO : Resolving all filenames [2022-06-22 14:21:37 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-06-22 14:21:38 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-06-22 14:21:39 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-06-22 14:21:40 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1) [2022-06-22 14:21:41 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-06-22 14:21:41 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-06-22 14:21:41 main:474] : INFO : Configuration: [2022-06-22 14:21:41 main:475] : INFO : Model type: GRU [2022-06-22 14:21:41 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-06-22 14:21:42 main:477] : INFO : Max Epochs: 2048 [2022-06-22 14:21:43 main:478] : INFO : Batch Size: 128 [2022-06-22 14:21:43 main:479] : INFO : Learning Rate: 0.01 [2022-06-22 14:21:44 main:480] : INFO : Patience: 10 [2022-06-22 14:21:44 main:481] : INFO : Hidden Width: 12 [2022-06-22 14:21:45 main:482] : INFO : # Recurrent Layers: 4 [2022-06-22 14:21:46 main:483] : INFO : # Backend Layers: 4 [2022-06-22 14:21:46 main:484] : INFO : # Threads: 1 [2022-06-22 14:21:46 main:486] : INFO : Preparing Dataset [2022-06-22 14:21:48 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-06-22 14:21:48 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory [2022-06-22 14:21:51 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2022-06-22 14:21:51 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory [2022-06-22 14:21:52 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory [2022-06-22 14:21:52 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2022-06-22 14:21:52 main:494] : INFO : Creating Model [2022-06-22 14:21:52 main:507] : INFO : Preparing config file [2022-06-22 14:21:52 main:511] : INFO : Found checkpoint, attempting to load... [2022-06-22 14:21:52 main:512] : INFO : Loading config [2022-06-22 14:21:52 main:514] : INFO : Loading state [2022-06-22 14:21:53 main:559] : INFO : Loading DataLoader into Memory [2022-06-22 14:21:53 main:562] : INFO : Starting Training [2022-06-22 14:21:58 main:574] : INFO : Epoch 1734 | loss: 0.0312041 | val_loss: 0.0311733 | Time: 4245.69 ms [2022-06-22 14:22:02 main:574] : INFO : Epoch 1735 | loss: 0.0311574 | val_loss: 0.0311616 | Time: 4200.89 ms [2022-06-22 14:22:07 main:574] : INFO : Epoch 1736 | loss: 0.0311517 | val_loss: 0.031161 | Time: 4786.83 ms [2022-06-22 14:22:16 main:574] : INFO : Epoch 1737 | loss: 0.0311493 | val_loss: 0.0311571 | Time: 4130.85 ms [2022-06-22 14:22:20 main:574] : INFO : Epoch 1738 | loss: 0.0311487 | val_loss: 0.03116 | Time: 4063.26 ms [2022-06-22 14:22:25 main:574] : INFO : Epoch 1739 | loss: 0.0311469 | val_loss: 0.0311588 | Time: 4036.88 ms [2022-06-22 14:22:30 main:574] : INFO : Epoch 1740 | loss: 0.0311463 | val_loss: 0.0311614 | Time: 4499.15 ms [2022-06-22 14:22:34 main:574] : INFO : Epoch 1741 | loss: 0.0311474 | val_loss: 0.0311583 | Time: 4116.75 ms [2022-06-22 14:22:39 main:574] : INFO : Epoch 1742 | loss: 0.0311469 | val_loss: 0.0311575 | Time: 4219.03 ms [2022-06-22 14:22:43 main:574] : INFO : Epoch 1743 | loss: 0.0311465 | val_loss: 0.0311585 | Time: 4133.67 ms [2022-06-22 14:22:48 main:574] : INFO : Epoch 1744 | loss: 0.0311465 | val_loss: 0.0311606 | Time: 4334.79 ms [2022-06-22 14:22:53 main:574] : INFO : Epoch 1745 | loss: 0.0311464 | val_loss: 0.0311597 | Time: 4087.19 ms [2022-06-22 14:22:58 main:574] : INFO : Epoch 1746 | loss: 0.0311476 | val_loss: 0.0311597 | Time: 4126.09 ms [2022-06-22 14:23:02 main:574] : INFO : Epoch 1747 | loss: 0.0311497 | val_loss: 0.0311606 | Time: 4196.34 ms [2022-06-22 14:23:07 main:574] : INFO : Epoch 1748 | loss: 0.0311488 | val_loss: 0.0311584 | Time: 4110.52 ms [2022-06-22 14:23:11 main:574] : INFO : Epoch 1749 | loss: 0.0311463 | val_loss: 0.0311592 | Time: 4113.49 ms [2022-06-22 14:23:15 main:574] : INFO : Epoch 1750 | loss: 0.0311467 | val_loss: 0.0311613 | Time: 4174.65 ms [2022-06-22 14:23:19 main:574] : INFO : Epoch 1751 | loss: 0.031145 | val_loss: 0.0311593 | Time: 4120.45 ms [2022-06-22 14:23:24 main:574] : INFO : Epoch 1752 | loss: 0.0311435 | val_loss: 0.0311588 | Time: 4104.93 ms [2022-06-22 14:23:28 main:574] : INFO : Epoch 1753 | loss: 0.0311443 | val_loss: 0.0311622 | Time: 4126.73 ms [2022-06-22 14:23:33 main:574] : INFO : Epoch 1754 | loss: 0.0311453 | val_loss: 0.0311624 | Time: 4173.75 ms [2022-06-22 14:23:37 main:574] : INFO : Epoch 1755 | loss: 0.0311441 | val_loss: 0.0311602 | Time: 4162.29 ms [2022-06-22 14:23:42 main:574] : INFO : Epoch 1756 | loss: 0.0311426 | val_loss: 0.0311609 | Time: 4094.93 ms [2022-06-22 14:23:46 main:574] : INFO : Epoch 1757 | loss: 0.0311428 | val_loss: 0.0311598 | Time: 4135.48 ms [2022-06-22 14:23:51 main:574] : INFO : Epoch 1758 | loss: 0.0311432 | val_loss: 0.0311603 | Time: 4162.87 ms [2022-06-22 14:23:56 main:574] : INFO : Epoch 1759 | loss: 0.0311425 | val_loss: 0.0311592 | Time: 4136.5 ms [2022-06-22 14:24:00 main:574] : INFO : Epoch 1760 | loss: 0.0311433 | val_loss: 0.0311664 | Time: 4115.49 ms [2022-06-22 14:24:04 main:574] : INFO : Epoch 1761 | loss: 0.0311457 | val_loss: 0.0311606 | Time: 4125.36 ms [2022-06-22 14:24:08 main:574] : INFO : Epoch 1762 | loss: 0.0311455 | val_loss: 0.0311584 | Time: 4134.21 ms [2022-06-22 14:24:14 main:574] : INFO : Epoch 1763 | loss: 0.0311446 | val_loss: 0.0311652 | Time: 4213.23 ms [2022-06-22 14:24:18 main:574] : INFO : Epoch 1764 | loss: 0.0311436 | val_loss: 0.0311606 | Time: 4137.63 ms [2022-06-22 14:24:22 main:574] : INFO : Epoch 1765 | loss: 0.0311453 | val_loss: 0.0311631 | Time: 4112.38 ms [2022-06-22 14:24:26 main:574] : INFO : Epoch 1766 | loss: 0.0311448 | val_loss: 0.0311624 | Time: 4104.56 ms [2022-06-22 14:24:31 main:574] : INFO : Epoch 1767 | loss: 0.0311415 | val_loss: 0.0311633 | Time: 4173.29 ms [2022-06-22 14:24:38 main:574] : INFO : Epoch 1768 | loss: 0.0311417 | val_loss: 0.0311617 | Time: 4120.83 ms [2022-06-22 14:24:42 main:574] : INFO : Epoch 1769 | loss: 0.0311428 | val_loss: 0.0311596 | Time: 4065.87 ms [2022-06-22 14:24:46 main:574] : INFO : Epoch 1770 | loss: 0.0311433 | val_loss: 0.0311646 | Time: 4144.81 ms [2022-06-22 14:24:51 main:574] : INFO : Epoch 1771 | loss: 0.0311425 | val_loss: 0.0311689 | Time: 4146.73 ms [2022-06-22 14:24:55 main:574] : INFO : Epoch 1772 | loss: 0.031155 | val_loss: 0.0311674 | Time: 4103.62 ms [2022-06-22 14:24:59 main:574] : INFO : Epoch 1773 | loss: 0.0311534 | val_loss: 0.0311637 | Time: 4062.33 ms [2022-06-22 14:25:03 main:574] : INFO : Epoch 1774 | loss: 0.0311497 | val_loss: 0.0311646 | Time: 4140.19 ms [2022-06-22 14:25:08 main:574] : INFO : Epoch 1775 | loss: 0.0311482 | val_loss: 0.031163 | Time: 4116.45 ms [2022-06-22 14:25:19 main:574] : INFO : Epoch 1776 | loss: 0.0311479 | val_loss: 0.0311622 | Time: 4127.43 ms [2022-06-22 14:25:23 main:574] : INFO : Epoch 1777 | loss: 0.031153 | val_loss: 0.0311616 | Time: 4171.12 ms [2022-06-22 14:25:28 main:574] : INFO : Epoch 1778 | loss: 0.0311526 | val_loss: 0.0311659 | Time: 4098.29 ms [2022-06-22 14:25:32 main:574] : INFO : Epoch 1779 | loss: 0.0311512 | val_loss: 0.0311648 | Time: 4103.6 ms [2022-06-22 14:25:36 main:574] : INFO : Epoch 1780 | loss: 0.0311541 | val_loss: 0.0311632 | Time: 4143.12 ms [2022-06-22 14:25:41 main:574] : INFO : Epoch 1781 | loss: 0.0311496 | val_loss: 0.0311655 | Time: 4192.17 ms [2022-06-22 14:25:45 main:574] : INFO : Epoch 1782 | loss: 0.0311492 | val_loss: 0.0311673 | Time: 4069.59 ms [2022-06-22 14:25:50 main:574] : INFO : Epoch 1783 | loss: 0.0311475 | val_loss: 0.0311612 | Time: 4076.13 ms [2022-06-22 14:25:54 main:574] : INFO : Epoch 1784 | loss: 0.0311461 | val_loss: 0.0311607 | Time: 4146.57 ms [2022-06-22 14:25:58 main:574] : INFO : Epoch 1785 | loss: 0.0311436 | val_loss: 0.0311614 | Time: 4134.28 ms [2022-06-22 14:26:03 main:574] : INFO : Epoch 1786 | loss: 0.0311444 | val_loss: 0.0311613 | Time: 4104.99 ms [2022-06-22 14:26:07 main:574] : INFO : Epoch 1787 | loss: 0.0311476 | val_loss: 0.0311606 | Time: 4092.59 ms [2022-06-22 14:26:12 main:574] : INFO : Epoch 1788 | loss: 0.0311452 | val_loss: 0.0311595 | Time: 4174.29 ms [2022-06-22 14:26:16 main:574] : INFO : Epoch 1789 | loss: 0.0311428 | val_loss: 0.0311629 | Time: 4120.89 ms [2022-06-22 14:26:20 main:574] : INFO : Epoch 1790 | loss: 0.0311453 | val_loss: 0.0311584 | Time: 4047.03 ms [2022-06-22 14:26:24 main:574] : INFO : Epoch 1791 | loss: 0.0311429 | val_loss: 0.0311601 | Time: 4140.23 ms [2022-06-22 14:26:29 main:574] : INFO : Epoch 1792 | loss: 0.0311441 | val_loss: 0.0311611 | Time: 4149.34 ms [2022-06-22 14:26:34 main:574] : INFO : Epoch 1793 | loss: 0.031143 | val_loss: 0.0311583 | Time: 4144.9 ms [2022-06-22 14:26:38 main:574] : INFO : Epoch 1794 | loss: 0.0311433 | val_loss: 0.0311623 | Time: 4108.21 ms [2022-06-22 14:26:42 main:574] : INFO : Epoch 1795 | loss: 0.0311419 | val_loss: 0.0311575 | Time: 4113.1 ms [2022-06-22 14:26:47 main:574] : INFO : Epoch 1796 | loss: 0.0311452 | val_loss: 0.0311666 | Time: 4121.79 ms [2022-06-22 14:26:51 main:574] : INFO : Epoch 1797 | loss: 0.0311549 | val_loss: 0.0311597 | Time: 4115.93 ms [2022-06-22 14:26:55 main:574] : INFO : Epoch 1798 | loss: 0.0311504 | val_loss: 0.0311619 | Time: 4071.24 ms [2022-06-22 14:27:00 main:574] : INFO : Epoch 1799 | loss: 0.0311494 | val_loss: 0.0311579 | Time: 4162.25 ms [2022-06-22 14:27:04 main:574] : INFO : Epoch 1800 | loss: 0.0311482 | val_loss: 0.0311596 | Time: 4163.2 ms [2022-06-22 14:27:08 main:574] : INFO : Epoch 1801 | loss: 0.0311457 | val_loss: 0.0311605 | Time: 4053.68 ms [2022-06-22 14:27:12 main:574] : INFO : Epoch 1802 | loss: 0.0311445 | val_loss: 0.0311608 | Time: 4095.06 ms [2022-06-22 14:27:17 main:574] : INFO : Epoch 1803 | loss: 0.0311429 | val_loss: 0.031161 | Time: 4150.14 ms [2022-06-22 14:27:21 main:574] : INFO : Epoch 1804 | loss: 0.03114 | val_loss: 0.0311571 | Time: 4145.35 ms [2022-06-22 14:27:25 main:574] : INFO : Epoch 1805 | loss: 0.0311389 | val_loss: 0.0311627 | Time: 4099 ms [2022-06-22 14:27:29 main:574] : INFO : Epoch 1806 | loss: 0.0311389 | val_loss: 0.03116 | Time: 4128.47 ms [2022-06-22 14:27:34 main:574] : INFO : Epoch 1807 | loss: 0.0311374 | val_loss: 0.0311603 | Time: 4112.04 ms [2022-06-22 14:27:38 main:574] : INFO : Epoch 1808 | loss: 0.0311376 | val_loss: 0.0311608 | Time: 4155.44 ms [2022-06-22 14:27:42 main:574] : INFO : Epoch 1809 | loss: 0.0311383 | val_loss: 0.0311629 | Time: 4125.04 ms [2022-06-22 14:27:47 main:574] : INFO : Epoch 1810 | loss: 0.0311398 | val_loss: 0.0311619 | Time: 4101.91 ms [2022-06-22 14:27:51 main:574] : INFO : Epoch 1811 | loss: 0.031139 | val_loss: 0.031162 | Time: 4110.56 ms [2022-06-22 14:27:55 main:574] : INFO : Epoch 1812 | loss: 0.0311371 | val_loss: 0.0311632 | Time: 4181.18 ms [2022-06-22 14:28:00 main:574] : INFO : Epoch 1813 | loss: 0.0311359 | val_loss: 0.0311631 | Time: 4089.92 ms [2022-06-22 14:28:04 main:574] : INFO : Epoch 1814 | loss: 0.031137 | val_loss: 0.0311624 | Time: 4085.08 ms [2022-06-22 14:28:08 main:574] : INFO : Epoch 1815 | loss: 0.0311369 | val_loss: 0.0311601 | Time: 4114.34 ms [2022-06-22 14:28:13 main:574] : INFO : Epoch 1816 | loss: 0.0311365 | val_loss: 0.031161 | Time: 4163.86 ms [2022-06-22 14:28:17 main:574] : INFO : Epoch 1817 | loss: 0.0311364 | val_loss: 0.0311628 | Time: 4189.33 ms [2022-06-22 14:28:21 main:574] : INFO : Epoch 1818 | loss: 0.0311369 | val_loss: 0.0311601 | Time: 4088.23 ms [2022-06-22 14:28:25 main:574] : INFO : Epoch 1819 | loss: 0.0311358 | val_loss: 0.0311597 | Time: 4122.97 ms [2022-06-22 14:28:30 main:574] : INFO : Epoch 1820 | loss: 0.0311371 | val_loss: 0.0311567 | Time: 4141.74 ms [2022-06-22 14:28:34 main:574] : INFO : Epoch 1821 | loss: 0.031137 | val_loss: 0.0311564 | Time: 4078.18 ms [2022-06-22 14:28:38 main:574] : INFO : Epoch 1822 | loss: 0.0311365 | val_loss: 0.0311614 | Time: 4083.6 ms [2022-06-22 14:28:42 main:574] : INFO : Epoch 1823 | loss: 0.031135 | val_loss: 0.0311597 | Time: 4154.68 ms [2022-06-22 14:28:47 main:574] : INFO : Epoch 1824 | loss: 0.0311343 | val_loss: 0.0311599 | Time: 4091.41 ms [2022-06-22 14:28:51 main:574] : INFO : Epoch 1825 | loss: 0.0311385 | val_loss: 0.0311654 | Time: 4086.61 ms [2022-06-22 14:28:56 main:574] : INFO : Epoch 1826 | loss: 0.031141 | val_loss: 0.0311592 | Time: 4978.39 ms [2022-06-22 14:29:08 main:574] : INFO : Epoch 1827 | loss: 0.0311398 | val_loss: 0.0311628 | Time: 7518.9 ms [2022-06-22 14:29:12 main:574] : INFO : Epoch 1828 | loss: 0.0311403 | val_loss: 0.0311629 | Time: 4184.61 ms [2022-06-22 14:29:17 main:574] : INFO : Epoch 1829 | loss: 0.0311378 | val_loss: 0.0311611 | Time: 4120.51 ms [2022-06-22 14:29:21 main:574] : INFO : Epoch 1830 | loss: 0.0311446 | val_loss: 0.0311582 | Time: 4050.53 ms [2022-06-22 14:29:25 main:574] : INFO : Epoch 1831 | loss: 0.0311436 | val_loss: 0.0311574 | Time: 4113.55 ms [2022-06-22 14:29:29 main:574] : INFO : Epoch 1832 | loss: 0.0311428 | val_loss: 0.0311609 | Time: 4116.95 ms [2022-06-22 14:29:34 main:574] : INFO : Epoch 1833 | loss: 0.0311417 | val_loss: 0.0311614 | Time: 4063.34 ms [2022-06-22 14:29:38 main:574] : INFO : Epoch 1834 | loss: 0.0311396 | val_loss: 0.0311598 | Time: 4089.31 ms [2022-06-22 14:29:42 main:574] : INFO : Epoch 1835 | loss: 0.03114 | val_loss: 0.0311627 | Time: 4072.66 ms [2022-06-22 14:29:46 main:574] : INFO : Epoch 1836 | loss: 0.0311387 | val_loss: 0.0311633 | Time: 4088.7 ms [2022-06-22 14:29:50 main:574] : INFO : Epoch 1837 | loss: 0.0311383 | val_loss: 0.0311575 | Time: 4098.81 ms [2022-06-22 14:29:54 main:574] : INFO : Epoch 1838 | loss: 0.0311393 | val_loss: 0.0311595 | Time: 4078.88 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce MX150) [2022-06-25 22:22:38 main:435] : INFO : Set logging level to 1 [2022-06-25 22:22:39 main:441] : INFO : Running in BOINC Client mode [2022-06-25 22:22:40 main:444] : INFO : Resolving all filenames [2022-06-25 22:22:42 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-06-25 22:22:43 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-06-25 22:22:44 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-06-25 22:22:45 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1) [2022-06-25 22:22:45 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-06-25 22:22:47 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-06-25 22:22:48 main:474] : INFO : Configuration: [2022-06-25 22:22:47 main:475] : INFO : Model type: GRU [2022-06-25 22:22:48 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-06-25 22:22:49 main:477] : INFO : Max Epochs: 2048 [2022-06-25 22:22:50 main:478] : INFO : Batch Size: 128 [2022-06-25 22:22:51 main:479] : INFO : Learning Rate: 0.01 [2022-06-25 22:22:52 main:480] : INFO : Patience: 10 [2022-06-25 22:22:53 main:481] : INFO : Hidden Width: 12 [2022-06-25 22:22:53 main:482] : INFO : # Recurrent Layers: 4 [2022-06-25 22:22:54 main:483] : INFO : # Backend Layers: 4 [2022-06-25 22:22:54 main:484] : INFO : # Threads: 1 [2022-06-25 22:22:55 main:486] : INFO : Preparing Dataset [2022-06-25 22:22:59 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-06-25 22:23:01 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory [2022-06-25 22:23:05 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2022-06-25 22:23:08 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory [2022-06-25 22:23:08 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory [2022-06-25 22:23:09 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2022-06-25 22:23:10 main:494] : INFO : Creating Model [2022-06-25 22:23:11 main:507] : INFO : Preparing config file [2022-06-25 22:23:11 main:511] : INFO : Found checkpoint, attempting to load... [2022-06-25 22:23:13 main:512] : INFO : Loading config [2022-06-25 22:23:13 main:514] : INFO : Loading state [2022-06-25 22:23:15 main:559] : INFO : Loading DataLoader into Memory [2022-06-25 22:23:17 main:562] : INFO : Starting Training [2022-06-25 22:23:27 main:574] : INFO : Epoch 1832 | loss: 0.0311881 | val_loss: 0.0311683 | Time: 9556.89 ms [2022-06-25 22:23:32 main:574] : INFO : Epoch 1833 | loss: 0.0311445 | val_loss: 0.0311617 | Time: 4056.59 ms [2022-06-25 22:23:37 main:574] : INFO : Epoch 1834 | loss: 0.0311419 | val_loss: 0.0311566 | Time: 4266.98 ms [2022-06-25 22:23:42 main:574] : INFO : Epoch 1835 | loss: 0.0311412 | val_loss: 0.0311599 | Time: 4181.05 ms [2022-06-25 22:23:47 main:574] : INFO : Epoch 1836 | loss: 0.0311412 | val_loss: 0.0311614 | Time: 4192.84 ms [2022-06-25 22:23:52 main:574] : INFO : Epoch 1837 | loss: 0.031142 | val_loss: 0.0311654 | Time: 4419.37 ms [2022-06-25 22:23:57 main:574] : INFO : Epoch 1838 | loss: 0.0311394 | val_loss: 0.0311655 | Time: 4201.78 ms [2022-06-25 22:24:01 main:574] : INFO : Epoch 1839 | loss: 0.0311384 | val_loss: 0.0311613 | Time: 4144.04 ms [2022-06-25 22:24:06 main:574] : INFO : Epoch 1840 | loss: 0.0311363 | val_loss: 0.0311611 | Time: 4152.47 ms [2022-06-25 22:24:10 main:574] : INFO : Epoch 1841 | loss: 0.0311369 | val_loss: 0.0311618 | Time: 4055.69 ms [2022-06-25 22:24:15 main:574] : INFO : Epoch 1842 | loss: 0.0311364 | val_loss: 0.0311603 | Time: 4104.98 ms [2022-06-25 22:24:19 main:574] : INFO : Epoch 1843 | loss: 0.0311358 | val_loss: 0.0311613 | Time: 4188.42 ms [2022-06-25 22:24:24 main:574] : INFO : Epoch 1844 | loss: 0.0311336 | val_loss: 0.0311587 | Time: 4166.15 ms [2022-06-25 22:24:28 main:574] : INFO : Epoch 1845 | loss: 0.0311351 | val_loss: 0.031161 | Time: 4078.86 ms [2022-06-25 22:24:32 main:574] : INFO : Epoch 1846 | loss: 0.0311363 | val_loss: 0.0311589 | Time: 4166.22 ms [2022-06-25 22:25:14 main:574] : INFO : Epoch 1847 | loss: 0.0311353 | val_loss: 0.0311584 | Time: 4228.57 ms [2022-06-25 22:25:19 main:574] : INFO : Epoch 1848 | loss: 0.0311351 | val_loss: 0.031157 | Time: 4193.28 ms [2022-06-25 22:25:23 main:574] : INFO : Epoch 1849 | loss: 0.0311357 | val_loss: 0.0311626 | Time: 4177.38 ms [2022-06-25 22:25:27 main:574] : INFO : Epoch 1850 | loss: 0.0311324 | val_loss: 0.031159 | Time: 4118.23 ms [2022-06-25 22:25:31 main:574] : INFO : Epoch 1851 | loss: 0.0311322 | val_loss: 0.0311608 | Time: 4100.04 ms [2022-06-25 22:25:36 main:574] : INFO : Epoch 1852 | loss: 0.0311302 | val_loss: 0.0311628 | Time: 4213 ms [2022-06-25 22:25:40 main:574] : INFO : Epoch 1853 | loss: 0.0311345 | val_loss: 0.0311601 | Time: 4138.92 ms [2022-06-25 22:25:45 main:574] : INFO : Epoch 1854 | loss: 0.0311357 | val_loss: 0.0311607 | Time: 4157.57 ms [2022-06-25 22:25:49 main:574] : INFO : Epoch 1855 | loss: 0.031133 | val_loss: 0.0311597 | Time: 4136.25 ms [2022-06-25 22:25:53 main:574] : INFO : Epoch 1856 | loss: 0.0311335 | val_loss: 0.0311584 | Time: 4565.26 ms [2022-06-25 22:25:58 main:574] : INFO : Epoch 1857 | loss: 0.0311337 | val_loss: 0.0311596 | Time: 4464.68 ms [2022-06-25 22:26:02 main:574] : INFO : Epoch 1858 | loss: 0.0311408 | val_loss: 0.0311676 | Time: 4342.53 ms [2022-06-25 22:26:07 main:574] : INFO : Epoch 1859 | loss: 0.0311445 | val_loss: 0.0311612 | Time: 4552.26 ms [2022-06-25 22:26:12 main:574] : INFO : Epoch 1860 | loss: 0.0311447 | val_loss: 0.0311572 | Time: 4966.69 ms [2022-06-25 22:26:17 main:574] : INFO : Epoch 1861 | loss: 0.0311407 | val_loss: 0.0311594 | Time: 4570.18 ms [2022-06-25 22:26:30 main:574] : INFO : Epoch 1862 | loss: 0.0311396 | val_loss: 0.0311599 | Time: 4338.24 ms [2022-06-25 22:26:35 main:574] : INFO : Epoch 1863 | loss: 0.0311378 | val_loss: 0.0311624 | Time: 4618.76 ms [2022-06-25 22:26:40 main:574] : INFO : Epoch 1864 | loss: 0.0311376 | val_loss: 0.0311625 | Time: 4152.16 ms [2022-06-25 22:26:45 main:574] : INFO : Epoch 1865 | loss: 0.031139 | val_loss: 0.0311619 | Time: 4064.39 ms [2022-06-25 22:26:49 main:574] : INFO : Epoch 1866 | loss: 0.031147 | val_loss: 0.031166 | Time: 4248.57 ms [2022-06-25 22:26:54 main:574] : INFO : Epoch 1867 | loss: 0.0311525 | val_loss: 0.031163 | Time: 4142.58 ms [2022-06-25 22:26:59 main:574] : INFO : Epoch 1868 | loss: 0.0311491 | val_loss: 0.0311613 | Time: 4399.78 ms [2022-06-25 22:27:03 main:574] : INFO : Epoch 1869 | loss: 0.0311497 | val_loss: 0.0311614 | Time: 4381.05 ms [2022-06-25 22:27:08 main:574] : INFO : Epoch 1870 | loss: 0.0311466 | val_loss: 0.0311583 | Time: 4352.38 ms [2022-06-25 22:27:13 main:574] : INFO : Epoch 1871 | loss: 0.0311467 | val_loss: 0.0311594 | Time: 4234.81 ms [2022-06-25 22:27:18 main:574] : INFO : Epoch 1872 | loss: 0.0311461 | val_loss: 0.031159 | Time: 4136.37 ms [2022-06-25 22:27:22 main:574] : INFO : Epoch 1873 | loss: 0.0311462 | val_loss: 0.0311592 | Time: 4092.55 ms [2022-06-25 22:27:27 main:574] : INFO : Epoch 1874 | loss: 0.031143 | val_loss: 0.0311589 | Time: 4540.82 ms [2022-06-25 22:27:32 main:574] : INFO : Epoch 1875 | loss: 0.0311414 | val_loss: 0.0311553 | Time: 4455.07 ms [2022-06-25 22:27:36 main:574] : INFO : Epoch 1876 | loss: 0.031139 | val_loss: 0.0311569 | Time: 4182.15 ms [2022-06-25 22:27:40 main:574] : INFO : Epoch 1877 | loss: 0.0311384 | val_loss: 0.0311582 | Time: 4133.31 ms [2022-06-25 22:27:45 main:574] : INFO : Epoch 1878 | loss: 0.0311398 | val_loss: 0.0311591 | Time: 4439.54 ms [2022-06-25 22:27:49 main:574] : INFO : Epoch 1879 | loss: 0.0311402 | val_loss: 0.0311588 | Time: 4185.84 ms [2022-06-25 22:27:53 main:574] : INFO : Epoch 1880 | loss: 0.0311373 | val_loss: 0.0311574 | Time: 4120.24 ms [2022-06-25 22:27:58 main:574] : INFO : Epoch 1881 | loss: 0.0311352 | val_loss: 0.0311556 | Time: 4177.7 ms [2022-06-25 22:28:02 main:574] : INFO : Epoch 1882 | loss: 0.0311345 | val_loss: 0.0311569 | Time: 4132.53 ms [2022-06-25 22:28:07 main:574] : INFO : Epoch 1883 | loss: 0.0311336 | val_loss: 0.0311555 | Time: 4149.2 ms [2022-06-25 22:28:11 main:574] : INFO : Epoch 1884 | loss: 0.0311335 | val_loss: 0.0311556 | Time: 4139.45 ms [2022-06-25 22:28:16 main:574] : INFO : Epoch 1885 | loss: 0.0311316 | val_loss: 0.0311577 | Time: 4106.42 ms [2022-06-25 22:28:20 main:574] : INFO : Epoch 1886 | loss: 0.0311312 | val_loss: 0.0311598 | Time: 4112.76 ms [2022-06-25 22:28:24 main:574] : INFO : Epoch 1887 | loss: 0.0311325 | val_loss: 0.0311576 | Time: 4288.25 ms [2022-06-25 22:28:29 main:574] : INFO : Epoch 1888 | loss: 0.0311308 | val_loss: 0.0311568 | Time: 4149.22 ms [2022-06-25 22:28:33 main:574] : INFO : Epoch 1889 | loss: 0.0311301 | val_loss: 0.0311603 | Time: 4098.44 ms [2022-06-25 22:28:38 main:574] : INFO : Epoch 1890 | loss: 0.0311315 | val_loss: 0.0311606 | Time: 4115.55 ms [2022-06-25 22:28:42 main:574] : INFO : Epoch 1891 | loss: 0.03113 | val_loss: 0.0311559 | Time: 4175.82 ms [2022-06-25 22:28:52 main:574] : INFO : Epoch 1892 | loss: 0.0311309 | val_loss: 0.0311594 | Time: 4241.53 ms [2022-06-25 22:28:57 main:574] : INFO : Epoch 1893 | loss: 0.0311329 | val_loss: 0.031159 | Time: 4170.62 ms [2022-06-25 22:29:01 main:574] : INFO : Epoch 1894 | loss: 0.0311317 | val_loss: 0.0311543 | Time: 4111.72 ms [2022-06-25 22:29:06 main:574] : INFO : Epoch 1895 | loss: 0.0311294 | val_loss: 0.0311564 | Time: 4274.59 ms [2022-06-25 22:29:10 main:574] : INFO : Epoch 1896 | loss: 0.0311316 | val_loss: 0.0311583 | Time: 4213 ms [2022-06-25 22:29:15 main:574] : INFO : Epoch 1897 | loss: 0.0311367 | val_loss: 0.0311556 | Time: 4292.45 ms [2022-06-25 22:29:19 main:574] : INFO : Epoch 1898 | loss: 0.0311334 | val_loss: 0.0311541 | Time: 4132.87 ms [2022-06-25 22:29:23 main:574] : INFO : Epoch 1899 | loss: 0.031131 | val_loss: 0.031156 | Time: 4123.52 ms [2022-06-25 22:29:28 main:574] : INFO : Epoch 1900 | loss: 0.0311309 | val_loss: 0.031155 | Time: 4132.84 ms [2022-06-25 22:29:33 main:574] : INFO : Epoch 1901 | loss: 0.0311303 | val_loss: 0.0311632 | Time: 4489.91 ms [2022-06-25 22:29:37 main:574] : INFO : Epoch 1902 | loss: 0.0311301 | val_loss: 0.0311551 | Time: 4136.39 ms [2022-06-25 22:29:41 main:574] : INFO : Epoch 1903 | loss: 0.0311295 | val_loss: 0.031157 | Time: 4094.39 ms [2022-06-25 22:29:46 main:574] : INFO : Epoch 1904 | loss: 0.0311309 | val_loss: 0.031159 | Time: 4125.08 ms [2022-06-25 22:29:50 main:574] : INFO : Epoch 1905 | loss: 0.0311298 | val_loss: 0.0311596 | Time: 4107.88 ms [2022-06-25 22:29:55 main:574] : INFO : Epoch 1906 | loss: 0.0311318 | val_loss: 0.0311553 | Time: 4297.89 ms [2022-06-25 22:29:59 main:574] : INFO : Epoch 1907 | loss: 0.031133 | val_loss: 0.0311569 | Time: 4123.2 ms [2022-06-25 22:30:04 main:574] : INFO : Epoch 1908 | loss: 0.0311321 | val_loss: 0.031159 | Time: 4145.94 ms [2022-06-25 22:30:09 main:574] : INFO : Epoch 1909 | loss: 0.031132 | val_loss: 0.031156 | Time: 4180.29 ms [2022-06-25 22:30:13 main:574] : INFO : Epoch 1910 | loss: 0.0311309 | val_loss: 0.0311544 | Time: 4139.7 ms [2022-06-25 22:30:17 main:574] : INFO : Epoch 1911 | loss: 0.0311301 | val_loss: 0.0311559 | Time: 4125.07 ms [2022-06-25 22:30:22 main:574] : INFO : Epoch 1912 | loss: 0.0311289 | val_loss: 0.0311554 | Time: 4260.84 ms [2022-06-25 22:30:27 main:574] : INFO : Epoch 1913 | loss: 0.0311285 | val_loss: 0.0311611 | Time: 4177.81 ms [2022-06-25 22:30:31 main:574] : INFO : Epoch 1914 | loss: 0.0311343 | val_loss: 0.0311584 | Time: 4109.6 ms [2022-06-25 22:30:36 main:574] : INFO : Epoch 1915 | loss: 0.0311325 | val_loss: 0.0311557 | Time: 4340.84 ms [2022-06-25 22:30:40 main:574] : INFO : Epoch 1916 | loss: 0.0311302 | val_loss: 0.0311558 | Time: 4150.41 ms [2022-06-25 22:30:45 main:574] : INFO : Epoch 1917 | loss: 0.0311302 | val_loss: 0.0311566 | Time: 4102.48 ms [2022-06-25 22:30:49 main:574] : INFO : Epoch 1918 | loss: 0.0311306 | val_loss: 0.0311609 | Time: 4147.44 ms [2022-06-25 22:30:53 main:574] : INFO : Epoch 1919 | loss: 0.0311305 | val_loss: 0.0311571 | Time: 4118.85 ms [2022-06-25 22:30:58 main:574] : INFO : Epoch 1920 | loss: 0.031129 | val_loss: 0.0311604 | Time: 4272.76 ms [2022-06-25 22:31:02 main:574] : INFO : Epoch 1921 | loss: 0.0311302 | val_loss: 0.0311634 | Time: 4264.52 ms [2022-06-25 22:31:08 main:574] : INFO : Epoch 1922 | loss: 0.0311377 | val_loss: 0.0311602 | Time: 4361.92 ms [2022-06-25 22:31:12 main:574] : INFO : Epoch 1923 | loss: 0.0311379 | val_loss: 0.0311601 | Time: 4164.04 ms [2022-06-25 22:31:17 main:574] : INFO : Epoch 1924 | loss: 0.0311461 | val_loss: 0.0311582 | Time: 4141.14 ms [2022-06-25 22:31:21 main:574] : INFO : Epoch 1925 | loss: 0.0311516 | val_loss: 0.0311596 | Time: 4115.65 ms [2022-06-25 22:31:26 main:574] : INFO : Epoch 1926 | loss: 0.031147 | val_loss: 0.0311583 | Time: 4157.38 ms [2022-06-25 22:31:30 main:574] : INFO : Epoch 1927 | loss: 0.0311441 | val_loss: 0.0311584 | Time: 4193.08 ms [2022-06-25 22:31:35 main:574] : INFO : Epoch 1928 | loss: 0.0311431 | val_loss: 0.0311589 | Time: 4222.17 ms [2022-06-25 22:31:40 main:574] : INFO : Epoch 1929 | loss: 0.031142 | val_loss: 0.0311633 | Time: 4252.91 ms [2022-06-25 22:31:44 main:574] : INFO : Epoch 1930 | loss: 0.0311435 | val_loss: 0.0311597 | Time: 4118.41 ms [2022-06-25 22:31:49 main:574] : INFO : Epoch 1931 | loss: 0.0311414 | val_loss: 0.0311635 | Time: 4324.22 ms [2022-06-25 22:31:53 main:574] : INFO : Epoch 1932 | loss: 0.0311408 | val_loss: 0.0311639 | Time: 4482.95 ms [2022-06-25 22:31:58 main:574] : INFO : Epoch 1933 | loss: 0.0311395 | val_loss: 0.0311634 | Time: 4222.43 ms [2022-06-25 22:32:03 main:574] : INFO : Epoch 1934 | loss: 0.0311395 | val_loss: 0.0311645 | Time: 4465.8 ms [2022-06-25 22:32:07 main:574] : INFO : Epoch 1935 | loss: 0.0311417 | val_loss: 0.0311628 | Time: 4130.44 ms [2022-06-25 22:32:12 main:574] : INFO : Epoch 1936 | loss: 0.0311378 | val_loss: 0.0311614 | Time: 4354.45 ms [2022-06-25 22:32:16 main:574] : INFO : Epoch 1937 | loss: 0.0311387 | val_loss: 0.0311621 | Time: 4171.71 ms [2022-06-25 22:32:21 main:574] : INFO : Epoch 1938 | loss: 0.0311392 | val_loss: 0.0311656 | Time: 4430.35 ms [2022-06-25 22:32:25 main:574] : INFO : Epoch 1939 | loss: 0.0311392 | val_loss: 0.0311638 | Time: 4169.85 ms [2022-06-25 22:32:30 main:574] : INFO : Epoch 1940 | loss: 0.0311368 | val_loss: 0.0311622 | Time: 4117.63 ms [2022-06-25 22:32:34 main:574] : INFO : Epoch 1941 | loss: 0.0311371 | val_loss: 0.0311596 | Time: 4161.33 ms [2022-06-25 22:32:38 main:574] : INFO : Epoch 1942 | loss: 0.0311384 | val_loss: 0.0311637 | Time: 4402.39 ms [2022-06-25 22:32:43 main:574] : INFO : Epoch 1943 | loss: 0.0311494 | val_loss: 0.031167 | Time: 4132.89 ms [2022-06-25 22:32:52 main:574] : INFO : Epoch 1944 | loss: 0.0311473 | val_loss: 0.0311621 | Time: 4123.55 ms [2022-06-25 22:32:56 main:574] : INFO : Epoch 1945 | loss: 0.0311452 | val_loss: 0.0311656 | Time: 4168.21 ms [2022-06-25 22:33:01 main:574] : INFO : Epoch 1946 | loss: 0.0311411 | val_loss: 0.0311659 | Time: 4168.06 ms [2022-06-25 22:33:05 main:574] : INFO : Epoch 1947 | loss: 0.0311406 | val_loss: 0.0311645 | Time: 4130.6 ms [2022-06-25 22:33:09 main:574] : INFO : Epoch 1948 | loss: 0.031142 | val_loss: 0.0311602 | Time: 4241.04 ms [2022-06-25 22:33:14 main:574] : INFO : Epoch 1949 | loss: 0.0311398 | val_loss: 0.0311648 | Time: 4107.27 ms [2022-06-25 22:33:18 main:574] : INFO : Epoch 1950 | loss: 0.0311391 | val_loss: 0.0311627 | Time: 4167.97 ms [2022-06-25 22:33:22 main:574] : INFO : Epoch 1951 | loss: 0.0311364 | val_loss: 0.0311635 | Time: 4151.3 ms [2022-06-25 22:33:26 main:574] : INFO : Epoch 1952 | loss: 0.0311358 | val_loss: 0.0311609 | Time: 4112.38 ms [2022-06-25 22:33:31 main:574] : INFO : Epoch 1953 | loss: 0.0311371 | val_loss: 0.0311647 | Time: 4133.75 ms [2022-06-25 22:33:35 main:574] : INFO : Epoch 1954 | loss: 0.0311364 | val_loss: 0.0311664 | Time: 4181.04 ms [2022-06-25 22:33:40 main:574] : INFO : Epoch 1955 | loss: 0.031134 | val_loss: 0.0311628 | Time: 4143.68 ms [2022-06-25 22:33:44 main:574] : INFO : Epoch 1956 | loss: 0.0311333 | val_loss: 0.0311656 | Time: 4204.54 ms [2022-06-25 22:33:48 main:574] : INFO : Epoch 1957 | loss: 0.0311324 | val_loss: 0.0311613 | Time: 4110.4 ms [2022-06-25 22:33:52 main:574] : INFO : Epoch 1958 | loss: 0.0311305 | val_loss: 0.0311619 | Time: 4172.7 ms [2022-06-25 22:33:57 main:574] : INFO : Epoch 1959 | loss: 0.0311314 | val_loss: 0.0311683 | Time: 4154.78 ms [2022-06-25 22:34:01 main:574] : INFO : Epoch 1960 | loss: 0.0311325 | val_loss: 0.0311675 | Time: 4126.62 ms [2022-06-25 22:34:05 main:574] : INFO : Epoch 1961 | loss: 0.0311415 | val_loss: 0.0311704 | Time: 4120.8 ms [2022-06-25 22:34:09 main:574] : INFO : Epoch 1962 | loss: 0.0311393 | val_loss: 0.0311665 | Time: 4161.01 ms [2022-06-25 22:34:14 main:574] : INFO : Epoch 1963 | loss: 0.0311341 | val_loss: 0.0311615 | Time: 4149.98 ms [2022-06-25 22:34:18 main:574] : INFO : Epoch 1964 | loss: 0.0311343 | val_loss: 0.0311616 | Time: 4174.25 ms [2022-06-25 22:34:23 main:574] : INFO : Epoch 1965 | loss: 0.0311334 | val_loss: 0.0311597 | Time: 4147.71 ms [2022-06-25 22:34:27 main:574] : INFO : Epoch 1966 | loss: 0.0311315 | val_loss: 0.0311621 | Time: 4117.45 ms [2022-06-25 22:34:31 main:574] : INFO : Epoch 1967 | loss: 0.0311306 | val_loss: 0.0311631 | Time: 4174.55 ms [2022-06-25 22:34:36 main:574] : INFO : Epoch 1968 | loss: 0.0311332 | val_loss: 0.0311669 | Time: 4129.03 ms [2022-06-25 22:34:40 main:574] : INFO : Epoch 1969 | loss: 0.0311343 | val_loss: 0.0311618 | Time: 4128.92 ms [2022-06-25 22:34:44 main:574] : INFO : Epoch 1970 | loss: 0.0311309 | val_loss: 0.0311597 | Time: 4112.05 ms [2022-06-25 22:34:49 main:574] : INFO : Epoch 1971 | loss: 0.0311291 | val_loss: 0.0311674 | Time: 4164.03 ms [2022-06-25 22:34:53 main:574] : INFO : Epoch 1972 | loss: 0.0311299 | val_loss: 0.0311635 | Time: 4182.58 ms [2022-06-25 22:34:58 main:574] : INFO : Epoch 1973 | loss: 0.0311292 | val_loss: 0.0311622 | Time: 4245.06 ms [2022-06-25 22:35:02 main:574] : INFO : Epoch 1974 | loss: 0.0311325 | val_loss: 0.0311634 | Time: 4380.91 ms [2022-06-25 22:35:06 main:574] : INFO : Epoch 1975 | loss: 0.0311314 | val_loss: 0.0311589 | Time: 4309.41 ms [2022-06-25 22:35:11 main:574] : INFO : Epoch 1976 | loss: 0.0311328 | val_loss: 0.0311637 | Time: 4109.77 ms [2022-06-25 22:35:15 main:574] : INFO : Epoch 1977 | loss: 0.0311354 | val_loss: 0.0311641 | Time: 4180.35 ms [2022-06-25 22:35:19 main:574] : INFO : Epoch 1978 | loss: 0.0311331 | val_loss: 0.0311658 | Time: 4124.06 ms [2022-06-25 22:35:24 main:574] : INFO : Epoch 1979 | loss: 0.0311397 | val_loss: 0.0311645 | Time: 4277.18 ms [2022-06-25 22:35:28 main:574] : INFO : Epoch 1980 | loss: 0.0311387 | val_loss: 0.0311659 | Time: 4156.05 ms [2022-06-25 22:35:33 main:574] : INFO : Epoch 1981 | loss: 0.0311366 | val_loss: 0.0311672 | Time: 4620.77 ms [2022-06-25 22:35:38 main:574] : INFO : Epoch 1982 | loss: 0.031135 | val_loss: 0.031165 | Time: 4372.54 ms [2022-06-25 22:35:42 main:574] : INFO : Epoch 1983 | loss: 0.0311349 | val_loss: 0.0311663 | Time: 4186.72 ms [2022-06-25 22:35:46 main:574] : INFO : Epoch 1984 | loss: 0.0311319 | val_loss: 0.0311678 | Time: 4143.48 ms [2022-06-25 22:35:51 main:574] : INFO : Epoch 1985 | loss: 0.0311339 | val_loss: 0.03116 | Time: 4145.63 ms [2022-06-25 22:35:55 main:574] : INFO : Epoch 1986 | loss: 0.0311361 | val_loss: 0.0311612 | Time: 4118.59 ms [2022-06-25 22:35:59 main:574] : INFO : Epoch 1987 | loss: 0.031133 | val_loss: 0.0311618 | Time: 4190.74 ms [2022-06-25 22:36:04 main:574] : INFO : Epoch 1988 | loss: 0.0311319 | val_loss: 0.0311622 | Time: 4133.29 ms [2022-06-25 22:36:09 main:574] : INFO : Epoch 1989 | loss: 0.0311308 | val_loss: 0.031164 | Time: 4105.27 ms [2022-06-25 22:36:13 main:574] : INFO : Epoch 1990 | loss: 0.0311302 | val_loss: 0.031164 | Time: 4167.63 ms [2022-06-25 22:36:17 main:574] : INFO : Epoch 1991 | loss: 0.0311302 | val_loss: 0.0311682 | Time: 4196.6 ms [2022-06-25 22:36:22 main:574] : INFO : Epoch 1992 | loss: 0.0311283 | val_loss: 0.0311694 | Time: 4137.7 ms [2022-06-25 22:36:27 main:574] : INFO : Epoch 1993 | loss: 0.031131 | val_loss: 0.0311676 | Time: 4139.62 ms [2022-06-25 22:36:31 main:574] : INFO : Epoch 1994 | loss: 0.0311295 | val_loss: 0.0311637 | Time: 4078.14 ms [2022-06-25 22:36:36 main:574] : INFO : Epoch 1995 | loss: 0.0311312 | val_loss: 0.0311648 | Time: 4101.9 ms [2022-06-25 22:36:42 main:574] : INFO : Epoch 1996 | loss: 0.0311307 | val_loss: 0.0311651 | Time: 4135.29 ms [2022-06-25 22:36:47 main:574] : INFO : Epoch 1997 | loss: 0.0311306 | val_loss: 0.0311632 | Time: 4142.94 ms [2022-06-25 22:36:52 main:574] : INFO : Epoch 1998 | loss: 0.0311294 | val_loss: 0.0311643 | Time: 4121.43 ms [2022-06-25 22:36:56 main:574] : INFO : Epoch 1999 | loss: 0.0311304 | val_loss: 0.0311619 | Time: 4162.46 ms [2022-06-25 22:37:00 main:574] : INFO : Epoch 2000 | loss: 0.0311291 | val_loss: 0.0311664 | Time: 4124.44 ms [2022-06-25 22:37:05 main:574] : INFO : Epoch 2001 | loss: 0.0311301 | val_loss: 0.0311645 | Time: 4201.29 ms [2022-06-25 22:37:10 main:574] : INFO : Epoch 2002 | loss: 0.0311295 | val_loss: 0.0311662 | Time: 4143.94 ms [2022-06-25 22:37:14 main:574] : INFO : Epoch 2003 | loss: 0.0311292 | val_loss: 0.031167 | Time: 4166.61 ms [2022-06-25 22:37:18 main:574] : INFO : Epoch 2004 | loss: 0.0311272 | val_loss: 0.0311692 | Time: 4182.47 ms [2022-06-25 22:37:23 main:574] : INFO : Epoch 2005 | loss: 0.0311492 | val_loss: 0.0311779 | Time: 4107.54 ms [2022-06-25 22:37:27 main:574] : INFO : Epoch 2006 | loss: 0.0311609 | val_loss: 0.031168 | Time: 4074.84 ms [2022-06-25 22:37:31 main:574] : INFO : Epoch 2007 | loss: 0.0311547 | val_loss: 0.031165 | Time: 4177.52 ms [2022-06-25 22:37:36 main:574] : INFO : Epoch 2008 | loss: 0.0311497 | val_loss: 0.0311658 | Time: 4191.3 ms [2022-06-25 22:37:41 main:574] : INFO : Epoch 2009 | loss: 0.0311487 | val_loss: 0.0311637 | Time: 4300.25 ms [2022-06-25 22:37:46 main:574] : INFO : Epoch 2010 | loss: 0.031146 | val_loss: 0.0311691 | Time: 4226.55 ms [2022-06-25 22:37:50 main:574] : INFO : Epoch 2011 | loss: 0.031145 | val_loss: 0.0311653 | Time: 4102.81 ms [2022-06-25 22:37:54 main:574] : INFO : Epoch 2012 | loss: 0.0311444 | val_loss: 0.0311666 | Time: 4163.9 ms [2022-06-25 22:37:59 main:574] : INFO : Epoch 2013 | loss: 0.0311426 | val_loss: 0.0311625 | Time: 4190 ms [2022-06-25 22:38:03 main:574] : INFO : Epoch 2014 | loss: 0.0311438 | val_loss: 0.0311638 | Time: 4161.11 ms [2022-06-25 22:38:07 main:574] : INFO : Epoch 2015 | loss: 0.0311424 | val_loss: 0.0311635 | Time: 4130.91 ms [2022-06-25 22:38:12 main:574] : INFO : Epoch 2016 | loss: 0.0311403 | val_loss: 0.0311634 | Time: 4162.09 ms [2022-06-25 22:38:16 main:574] : INFO : Epoch 2017 | loss: 0.0311404 | val_loss: 0.0311633 | Time: 4161.1 ms [2022-06-25 22:38:20 main:574] : INFO : Epoch 2018 | loss: 0.0311392 | val_loss: 0.031163 | Time: 4065.1 ms [2022-06-25 22:38:24 main:574] : INFO : Epoch 2019 | loss: 0.0311389 | val_loss: 0.0311624 | Time: 4138.77 ms [2022-06-25 22:38:29 main:574] : INFO : Epoch 2020 | loss: 0.0311383 | val_loss: 0.0311618 | Time: 4255.04 ms [2022-06-25 22:38:34 main:574] : INFO : Epoch 2021 | loss: 0.0311422 | val_loss: 0.0311631 | Time: 4124.16 ms [2022-06-25 22:38:38 main:574] : INFO : Epoch 2022 | loss: 0.0311406 | val_loss: 0.0311697 | Time: 4081.51 ms [2022-06-25 22:38:42 main:574] : INFO : Epoch 2023 | loss: 0.0311406 | val_loss: 0.0311618 | Time: 4120.59 ms [2022-06-25 22:38:46 main:574] : INFO : Epoch 2024 | loss: 0.0311371 | val_loss: 0.0311653 | Time: 4130.15 ms [2022-06-25 22:38:51 main:574] : INFO : Epoch 2025 | loss: 0.031138 | val_loss: 0.0311637 | Time: 4191.74 ms [2022-06-25 22:38:55 main:574] : INFO : Epoch 2026 | loss: 0.0311365 | val_loss: 0.0311609 | Time: 4082.23 ms [2022-06-25 22:38:59 main:574] : INFO : Epoch 2027 | loss: 0.0311367 | val_loss: 0.0311629 | Time: 4090.2 ms [2022-06-25 22:39:04 main:574] : INFO : Epoch 2028 | loss: 0.0311398 | val_loss: 0.0311629 | Time: 4129.66 ms [2022-06-25 22:39:08 main:574] : INFO : Epoch 2029 | loss: 0.0311417 | val_loss: 0.0311632 | Time: 4169.4 ms [2022-06-25 22:39:13 main:574] : INFO : Epoch 2030 | loss: 0.0311438 | val_loss: 0.0311627 | Time: 4104.51 ms [2022-06-25 22:39:17 main:574] : INFO : Epoch 2031 | loss: 0.0311454 | val_loss: 0.0311645 | Time: 4132.25 ms [2022-06-25 22:39:21 main:574] : INFO : Epoch 2032 | loss: 0.0311434 | val_loss: 0.031162 | Time: 4152.26 ms [2022-06-25 22:39:26 main:574] : INFO : Epoch 2033 | loss: 0.0311414 | val_loss: 0.0311624 | Time: 4188.84 ms [2022-06-25 22:39:30 main:574] : INFO : Epoch 2034 | loss: 0.0311394 | val_loss: 0.0311622 | Time: 4138.61 ms [2022-06-25 22:39:34 main:574] : INFO : Epoch 2035 | loss: 0.0311402 | val_loss: 0.0311624 | Time: 4089.04 ms [2022-06-25 22:39:38 main:574] : INFO : Epoch 2036 | loss: 0.0311399 | val_loss: 0.0311659 | Time: 4113.73 ms [2022-06-25 22:39:43 main:574] : INFO : Epoch 2037 | loss: 0.031139 | val_loss: 0.03116 | Time: 4144.81 ms [2022-06-25 22:39:47 main:574] : INFO : Epoch 2038 | loss: 0.0311363 | val_loss: 0.0311639 | Time: 4142.04 ms [2022-06-25 22:39:51 main:574] : INFO : Epoch 2039 | loss: 0.0311362 | val_loss: 0.031162 | Time: 4186.61 ms [2022-06-25 22:39:56 main:574] : INFO : Epoch 2040 | loss: 0.0311357 | val_loss: 0.0311619 | Time: 4146.77 ms [2022-06-25 22:40:00 main:574] : INFO : Epoch 2041 | loss: 0.0311358 | val_loss: 0.0311674 | Time: 4315.23 ms [2022-06-25 22:40:04 main:574] : INFO : Epoch 2042 | loss: 0.0311357 | val_loss: 0.0311616 | Time: 4155.35 ms [2022-06-25 22:40:09 main:574] : INFO : Epoch 2043 | loss: 0.0311363 | val_loss: 0.0311634 | Time: 4124.17 ms [2022-06-25 22:40:13 main:574] : INFO : Epoch 2044 | loss: 0.0311365 | val_loss: 0.0311681 | Time: 4064.53 ms [2022-06-25 22:40:17 main:574] : INFO : Epoch 2045 | loss: 0.0311378 | val_loss: 0.0311639 | Time: 4169.5 ms [2022-06-25 22:40:22 main:574] : INFO : Epoch 2046 | loss: 0.0311373 | val_loss: 0.0311621 | Time: 4117.24 ms [2022-06-25 22:40:26 main:574] : INFO : Epoch 2047 | loss: 0.0311383 | val_loss: 0.0311612 | Time: 4150.28 ms [2022-06-25 22:40:31 main:574] : INFO : Epoch 2048 | loss: 0.0311362 | val_loss: 0.0311628 | Time: 4121.62 ms [2022-06-25 22:40:31 main:597] : INFO : Saving trained model to model-final.pt, val_loss 0.0311628 [2022-06-25 22:40:31 main:603] : INFO : Saving end state to config to file [2022-06-25 22:40:31 main:608] : INFO : Success, exiting.. 22:40:31 (22284): 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)