Task 11598655
| Name | ParityModified-1639959649-29477-3-0_0 |
| Workunit | 8817400 |
| Created | 16 Feb 2022, 4:05:31 UTC |
| Sent | 27 Feb 2022, 13:25:54 UTC |
| Report deadline | 7 Mar 2022, 13:25:54 UTC |
| Received | 28 Feb 2022, 10:11:34 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 1150 |
| Run time | 56 min 55 sec |
| CPU time | 55 min 18 sec |
| Validate state | Valid |
| Credit | 4,160.00 |
| Device peak FLOPS | 4,174.91 GFLOPS |
| Application version | Machine Learning Dataset Generator (GPU) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 2.16 GB |
| Peak swap size | 3.48 GB |
| Peak disk usage | 1.54 GB |
Stderr output
<core_client_version>7.16.20</core_client_version> <![CDATA[ <stderr_txt> [2022-02-27 21:57:57 main:574] : INFO : Epoch 1668 | loss: 0.0311457 | val_loss: 0.031159 | Time: 1644.86 ms [2022-02-27 21:57:59 main:574] : INFO : Epoch 1669 | loss: 0.0311443 | val_loss: 0.0311578 | Time: 1655.28 ms [2022-02-27 21:58:00 main:574] : INFO : Epoch 1670 | loss: 0.0311477 | val_loss: 0.0311626 | Time: 1636.29 ms [2022-02-27 21:58:02 main:574] : INFO : Epoch 1671 | loss: 0.0311497 | val_loss: 0.0311592 | Time: 1650.54 ms [2022-02-27 21:58:04 main:574] : INFO : Epoch 1672 | loss: 0.031149 | val_loss: 0.0311577 | Time: 1635.69 ms [2022-02-27 21:58:05 main:574] : INFO : Epoch 1673 | loss: 0.0311478 | val_loss: 0.031159 | Time: 1650.46 ms [2022-02-27 21:58:07 main:574] : INFO : Epoch 1674 | loss: 0.0311484 | val_loss: 0.0311579 | Time: 1659.26 ms [2022-02-27 21:58:09 main:574] : INFO : Epoch 1675 | loss: 0.0311494 | val_loss: 0.0311583 | Time: 1655.25 ms [2022-02-27 21:58:10 main:574] : INFO : Epoch 1676 | loss: 0.0311499 | val_loss: 0.0311594 | Time: 1643.38 ms [2022-02-27 21:58:12 main:574] : INFO : Epoch 1677 | loss: 0.0311519 | val_loss: 0.0311652 | Time: 1647.26 ms [2022-02-27 21:58:14 main:574] : INFO : Epoch 1678 | loss: 0.0311576 | val_loss: 0.0311643 | Time: 1634.58 ms [2022-02-27 21:58:15 main:574] : INFO : Epoch 1679 | loss: 0.0311581 | val_loss: 0.031168 | Time: 1648.69 ms [2022-02-27 21:58:17 main:574] : INFO : Epoch 1680 | loss: 0.0311575 | val_loss: 0.0311683 | Time: 1646.64 ms [2022-02-27 21:58:19 main:574] : INFO : Epoch 1681 | loss: 0.0311546 | val_loss: 0.0311665 | Time: 1653.32 ms [2022-02-27 21:58:20 main:574] : INFO : Epoch 1682 | loss: 0.0311529 | val_loss: 0.0311629 | Time: 1635.85 ms [2022-02-27 21:58:22 main:574] : INFO : Epoch 1683 | loss: 0.0311533 | val_loss: 0.0311675 | Time: 1639.53 ms [2022-02-27 21:58:23 main:574] : INFO : Epoch 1684 | loss: 0.0311534 | val_loss: 0.0311637 | Time: 1646.99 ms [2022-02-27 21:58:25 main:574] : INFO : Epoch 1685 | loss: 0.0311527 | val_loss: 0.0311644 | Time: 1645.81 ms [2022-02-27 21:58:27 main:574] : INFO : Epoch 1686 | loss: 0.0311521 | val_loss: 0.0311673 | Time: 1642.42 ms [2022-02-27 21:58:28 main:574] : INFO : Epoch 1687 | loss: 0.0311541 | val_loss: 0.0311644 | Time: 1648.27 ms [2022-02-27 21:58:30 main:574] : INFO : Epoch 1688 | loss: 0.0311537 | val_loss: 0.0311635 | Time: 1643.72 ms [2022-02-27 21:58:32 main:574] : INFO : Epoch 1689 | loss: 0.0311568 | val_loss: 0.0311656 | Time: 1644.67 ms [2022-02-27 21:58:33 main:574] : INFO : Epoch 1690 | loss: 0.0311557 | val_loss: 0.0311671 | Time: 1650.33 ms [2022-02-27 21:58:35 main:574] : INFO : Epoch 1691 | loss: 0.0311528 | val_loss: 0.0311651 | Time: 1645.54 ms [2022-02-27 21:58:37 main:574] : INFO : Epoch 1692 | loss: 0.0311524 | val_loss: 0.0311648 | Time: 1650.25 ms [2022-02-27 21:58:38 main:574] : INFO : Epoch 1693 | loss: 0.0311508 | val_loss: 0.0311672 | Time: 1652.11 ms [2022-02-27 21:58:40 main:574] : INFO : Epoch 1694 | loss: 0.0311576 | val_loss: 0.0311624 | Time: 1638.22 ms [2022-02-27 21:58:42 main:574] : INFO : Epoch 1695 | loss: 0.0311589 | val_loss: 0.0311611 | Time: 1642.84 ms [2022-02-27 21:58:43 main:574] : INFO : Epoch 1696 | loss: 0.0311577 | val_loss: 0.0311627 | Time: 1639.33 ms [2022-02-27 21:58:45 main:574] : INFO : Epoch 1697 | loss: 0.0311595 | val_loss: 0.0311621 | Time: 1640.34 ms [2022-02-27 21:58:47 main:574] : INFO : Epoch 1698 | loss: 0.0311602 | val_loss: 0.0311632 | Time: 1652.83 ms [2022-02-27 21:58:48 main:574] : INFO : Epoch 1699 | loss: 0.0311571 | val_loss: 0.0311614 | Time: 1659.53 ms [2022-02-27 21:58:50 main:574] : INFO : Epoch 1700 | loss: 0.0311564 | val_loss: 0.0311634 | Time: 1645.35 ms [2022-02-27 21:58:52 main:574] : INFO : Epoch 1701 | loss: 0.031154 | val_loss: 0.0311618 | Time: 1642.75 ms [2022-02-27 21:58:53 main:574] : INFO : Epoch 1702 | loss: 0.0311544 | val_loss: 0.0311661 | Time: 1635.32 ms [2022-02-27 21:58:55 main:574] : INFO : Epoch 1703 | loss: 0.0311552 | val_loss: 0.0311637 | Time: 1638 ms [2022-02-27 21:58:57 main:574] : INFO : Epoch 1704 | loss: 0.0311531 | val_loss: 0.0311591 | Time: 1650.43 ms [2022-02-27 21:58:58 main:574] : INFO : Epoch 1705 | loss: 0.0311528 | val_loss: 0.031162 | Time: 1654.98 ms [2022-02-27 21:59:00 main:574] : INFO : Epoch 1706 | loss: 0.0311529 | val_loss: 0.0311618 | Time: 1650.95 ms [2022-02-27 21:59:01 main:574] : INFO : Epoch 1707 | loss: 0.0311518 | val_loss: 0.031161 | Time: 1637.24 ms [2022-02-27 21:59:03 main:574] : INFO : Epoch 1708 | loss: 0.0311513 | val_loss: 0.0311606 | Time: 1647.55 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 970) [2022-02-27 21:59:29 main:435] : INFO : Set logging level to 1 [2022-02-27 21:59:29 main:441] : INFO : Running in BOINC Client mode [2022-02-27 21:59:29 main:444] : INFO : Resolving all filenames [2022-02-27 21:59:29 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-02-27 21:59:29 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-02-27 21:59:29 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-02-27 21:59:29 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1) [2022-02-27 21:59:29 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-02-27 21:59:29 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-02-27 21:59:29 main:474] : INFO : Configuration: [2022-02-27 21:59:29 main:475] : INFO : Model type: GRU [2022-02-27 21:59:29 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-02-27 21:59:29 main:477] : INFO : Max Epochs: 2048 [2022-02-27 21:59:29 main:478] : INFO : Batch Size: 128 [2022-02-27 21:59:29 main:479] : INFO : Learning Rate: 0.01 [2022-02-27 21:59:29 main:480] : INFO : Patience: 10 [2022-02-27 21:59:29 main:481] : INFO : Hidden Width: 12 [2022-02-27 21:59:29 main:482] : INFO : # Recurrent Layers: 4 [2022-02-27 21:59:29 main:483] : INFO : # Backend Layers: 4 [2022-02-27 21:59:29 main:484] : INFO : # Threads: 1 [2022-02-27 21:59:29 main:486] : INFO : Preparing Dataset [2022-02-27 21:59:29 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-02-27 21:59:29 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory [2022-02-27 21:59:30 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2022-02-27 21:59:30 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory [2022-02-27 21:59:30 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory [2022-02-27 21:59:30 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2022-02-27 21:59:30 main:494] : INFO : Creating Model [2022-02-27 21:59:30 main:507] : INFO : Preparing config file [2022-02-27 21:59:30 main:511] : INFO : Found checkpoint, attempting to load... [2022-02-27 21:59:30 main:512] : INFO : Loading config [2022-02-27 21:59:30 main:514] : INFO : Loading state [2022-02-27 21:59:31 main:559] : INFO : Loading DataLoader into Memory [2022-02-27 21:59:31 main:562] : INFO : Starting Training [2022-02-27 21:59:33 main:574] : INFO : Epoch 1704 | loss: 0.0314029 | val_loss: 0.0312476 | Time: 1827.68 ms [2022-02-27 21:59:34 main:574] : INFO : Epoch 1705 | loss: 0.0312233 | val_loss: 0.0311826 | Time: 1620.38 ms [2022-02-27 21:59:36 main:574] : INFO : Epoch 1706 | loss: 0.0311651 | val_loss: 0.0311616 | Time: 1639.1 ms [2022-02-27 21:59:38 main:574] : INFO : Epoch 1707 | loss: 0.0311573 | val_loss: 0.0311588 | Time: 1627.79 ms [2022-02-27 21:59:39 main:574] : INFO : Epoch 1708 | loss: 0.031156 | val_loss: 0.0311537 | Time: 1644.54 ms [2022-02-27 21:59:41 main:574] : INFO : Epoch 1709 | loss: 0.0311536 | val_loss: 0.031156 | Time: 1635.53 ms [2022-02-27 21:59:43 main:574] : INFO : Epoch 1710 | loss: 0.031153 | val_loss: 0.031154 | Time: 1635.24 ms [2022-02-27 21:59:44 main:574] : INFO : Epoch 1711 | loss: 0.0311515 | val_loss: 0.0311551 | Time: 1631.49 ms [2022-02-27 21:59:46 main:574] : INFO : Epoch 1712 | loss: 0.0311541 | val_loss: 0.0311535 | Time: 1644.29 ms [2022-02-27 21:59:47 main:574] : INFO : Epoch 1713 | loss: 0.0311535 | val_loss: 0.0311585 | Time: 1634.1 ms [2022-02-27 21:59:49 main:574] : INFO : Epoch 1714 | loss: 0.0311542 | val_loss: 0.0311574 | Time: 1646.2 ms [2022-02-27 21:59:51 main:574] : INFO : Epoch 1715 | loss: 0.0311557 | val_loss: 0.0311576 | Time: 1635.19 ms [2022-02-27 21:59:52 main:574] : INFO : Epoch 1716 | loss: 0.0311544 | val_loss: 0.0311603 | Time: 1642.33 ms [2022-02-27 21:59:54 main:574] : INFO : Epoch 1717 | loss: 0.031154 | val_loss: 0.0311608 | Time: 1629.8 ms [2022-02-27 21:59:56 main:574] : INFO : Epoch 1718 | loss: 0.0311533 | val_loss: 0.0311583 | Time: 1642.5 ms [2022-02-27 21:59:57 main:574] : INFO : Epoch 1719 | loss: 0.0311535 | val_loss: 0.031157 | Time: 1638.56 ms [2022-02-27 21:59:59 main:574] : INFO : Epoch 1720 | loss: 0.0311523 | val_loss: 0.0311568 | Time: 1651.4 ms [2022-02-27 22:00:01 main:574] : INFO : Epoch 1721 | loss: 0.0311505 | val_loss: 0.0311562 | Time: 1632.82 ms [2022-02-27 22:00:02 main:574] : INFO : Epoch 1722 | loss: 0.0311501 | val_loss: 0.0311575 | Time: 1647.75 ms [2022-02-27 22:00:04 main:574] : INFO : Epoch 1723 | loss: 0.0311523 | val_loss: 0.0311588 | Time: 1630.08 ms [2022-02-27 22:00:06 main:574] : INFO : Epoch 1724 | loss: 0.0311547 | val_loss: 0.0311587 | Time: 1643.16 ms [2022-02-27 22:00:07 main:574] : INFO : Epoch 1725 | loss: 0.0311556 | val_loss: 0.0311578 | Time: 1650.55 ms [2022-02-27 22:00:09 main:574] : INFO : Epoch 1726 | loss: 0.0311532 | val_loss: 0.0311557 | Time: 1962.48 ms [2022-02-27 22:00:11 main:574] : INFO : Epoch 1727 | loss: 0.0311513 | val_loss: 0.0311547 | Time: 1717.44 ms [2022-02-27 22:00:13 main:574] : INFO : Epoch 1728 | loss: 0.0311513 | val_loss: 0.0311574 | Time: 1793.58 ms [2022-02-27 22:00:14 main:574] : INFO : Epoch 1729 | loss: 0.0311506 | val_loss: 0.0311566 | Time: 1649.17 ms [2022-02-27 22:00:16 main:574] : INFO : Epoch 1730 | loss: 0.0311484 | val_loss: 0.0311547 | Time: 1689.33 ms [2022-02-27 22:00:19 main:574] : INFO : Epoch 1731 | loss: 0.0311477 | val_loss: 0.0311549 | Time: 2528.19 ms [2022-02-27 22:00:21 main:574] : INFO : Epoch 1732 | loss: 0.031148 | val_loss: 0.0311607 | Time: 2685.97 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 970) [2022-02-28 03:00:17 main:435] : INFO : Set logging level to 1 [2022-02-28 03:00:17 main:441] : INFO : Running in BOINC Client mode [2022-02-28 03:00:17 main:444] : INFO : Resolving all filenames [2022-02-28 03:00:17 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-02-28 03:00:17 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-02-28 03:00:17 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-02-28 03:00:17 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1) [2022-02-28 03:00:17 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-02-28 03:00:17 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-02-28 03:00:17 main:474] : INFO : Configuration: [2022-02-28 03:00:17 main:475] : INFO : Model type: GRU [2022-02-28 03:00:17 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-02-28 03:00:17 main:477] : INFO : Max Epochs: 2048 [2022-02-28 03:00:17 main:478] : INFO : Batch Size: 128 [2022-02-28 03:00:17 main:479] : INFO : Learning Rate: 0.01 [2022-02-28 03:00:17 main:480] : INFO : Patience: 10 [2022-02-28 03:00:17 main:481] : INFO : Hidden Width: 12 [2022-02-28 03:00:17 main:482] : INFO : # Recurrent Layers: 4 [2022-02-28 03:00:17 main:483] : INFO : # Backend Layers: 4 [2022-02-28 03:00:17 main:484] : INFO : # Threads: 1 [2022-02-28 03:00:17 main:486] : INFO : Preparing Dataset [2022-02-28 03:00:17 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-02-28 03:00:18 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory [2022-02-28 03:00:19 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2022-02-28 03:00:19 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory [2022-02-28 03:00:19 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory [2022-02-28 03:00:19 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2022-02-28 03:00:19 main:494] : INFO : Creating Model [2022-02-28 03:00:19 main:507] : INFO : Preparing config file [2022-02-28 03:00:19 main:511] : INFO : Found checkpoint, attempting to load... [2022-02-28 03:00:19 main:512] : INFO : Loading config [2022-02-28 03:00:19 main:514] : INFO : Loading state [2022-02-28 03:00:20 main:559] : INFO : Loading DataLoader into Memory [2022-02-28 03:00:20 main:562] : INFO : Starting Training [2022-02-28 03:00:21 main:574] : INFO : Epoch 1704 | loss: 0.0313975 | val_loss: 0.0312514 | Time: 1821.75 ms [2022-02-28 03:00:23 main:574] : INFO : Epoch 1705 | loss: 0.031217 | val_loss: 0.0311698 | Time: 1626.7 ms [2022-02-28 03:00:25 main:574] : INFO : Epoch 1706 | loss: 0.0311631 | val_loss: 0.0311627 | Time: 1635.92 ms [2022-02-28 03:00:26 main:574] : INFO : Epoch 1707 | loss: 0.0311538 | val_loss: 0.0311578 | Time: 1626.16 ms [2022-02-28 03:00:28 main:574] : INFO : Epoch 1708 | loss: 0.0311511 | val_loss: 0.031156 | Time: 1626.68 ms [2022-02-28 03:00:30 main:574] : INFO : Epoch 1709 | loss: 0.031151 | val_loss: 0.0311568 | Time: 1636.14 ms [2022-02-28 03:00:31 main:574] : INFO : Epoch 1710 | loss: 0.0311524 | val_loss: 0.0311593 | Time: 1641.96 ms [2022-02-28 03:00:33 main:574] : INFO : Epoch 1711 | loss: 0.0311504 | val_loss: 0.0311556 | Time: 1637.63 ms [2022-02-28 03:00:35 main:574] : INFO : Epoch 1712 | loss: 0.0311496 | val_loss: 0.0311575 | Time: 1663.69 ms [2022-02-28 03:00:36 main:574] : INFO : Epoch 1713 | loss: 0.0311522 | val_loss: 0.0311567 | Time: 1633.78 ms [2022-02-28 03:00:38 main:574] : INFO : Epoch 1714 | loss: 0.0311526 | val_loss: 0.0311568 | Time: 1626.25 ms [2022-02-28 03:00:40 main:574] : INFO : Epoch 1715 | loss: 0.0311505 | val_loss: 0.0311573 | Time: 1637.97 ms [2022-02-28 03:00:41 main:574] : INFO : Epoch 1716 | loss: 0.0311521 | val_loss: 0.0311581 | Time: 1646.35 ms [2022-02-28 03:00:43 main:574] : INFO : Epoch 1717 | loss: 0.0311542 | val_loss: 0.031159 | Time: 1656.58 ms [2022-02-28 03:00:44 main:574] : INFO : Epoch 1718 | loss: 0.0311513 | val_loss: 0.0311565 | Time: 1632.02 ms [2022-02-28 03:00:46 main:574] : INFO : Epoch 1719 | loss: 0.0311513 | val_loss: 0.0311577 | Time: 1638.04 ms [2022-02-28 03:00:48 main:574] : INFO : Epoch 1720 | loss: 0.0311524 | val_loss: 0.0311558 | Time: 1634.47 ms [2022-02-28 03:00:49 main:574] : INFO : Epoch 1721 | loss: 0.0311539 | val_loss: 0.0311612 | Time: 1648.02 ms [2022-02-28 03:00:51 main:574] : INFO : Epoch 1722 | loss: 0.0311504 | val_loss: 0.0311601 | Time: 1634.01 ms [2022-02-28 03:00:53 main:574] : INFO : Epoch 1723 | loss: 0.0311501 | val_loss: 0.0311599 | Time: 1643.12 ms [2022-02-28 03:00:54 main:574] : INFO : Epoch 1724 | loss: 0.0311511 | val_loss: 0.0311588 | Time: 1642.79 ms [2022-02-28 03:00:56 main:574] : INFO : Epoch 1725 | loss: 0.03115 | val_loss: 0.0311573 | Time: 1648.91 ms [2022-02-28 03:00:58 main:574] : INFO : Epoch 1726 | loss: 0.0311507 | val_loss: 0.0311579 | Time: 1643.38 ms [2022-02-28 03:00:59 main:574] : INFO : Epoch 1727 | loss: 0.0311513 | val_loss: 0.0311584 | Time: 1646.8 ms [2022-02-28 03:01:01 main:574] : INFO : Epoch 1728 | loss: 0.0311507 | val_loss: 0.0311599 | Time: 1658.57 ms [2022-02-28 03:01:03 main:574] : INFO : Epoch 1729 | loss: 0.0311474 | val_loss: 0.0311582 | Time: 1645.32 ms [2022-02-28 03:01:04 main:574] : INFO : Epoch 1730 | loss: 0.031147 | val_loss: 0.031156 | Time: 1644.94 ms [2022-02-28 03:01:06 main:574] : INFO : Epoch 1731 | loss: 0.0311469 | val_loss: 0.0311547 | Time: 1650.03 ms [2022-02-28 03:01:08 main:574] : INFO : Epoch 1732 | loss: 0.0311457 | val_loss: 0.0311539 | Time: 1639.8 ms [2022-02-28 03:01:09 main:574] : INFO : Epoch 1733 | loss: 0.0311485 | val_loss: 0.031153 | Time: 1640.54 ms [2022-02-28 03:01:11 main:574] : INFO : Epoch 1734 | loss: 0.0311476 | val_loss: 0.0311577 | Time: 1649.9 ms [2022-02-28 03:01:13 main:574] : INFO : Epoch 1735 | loss: 0.031149 | val_loss: 0.0311562 | Time: 1660.82 ms [2022-02-28 03:01:14 main:574] : INFO : Epoch 1736 | loss: 0.0311459 | val_loss: 0.0311576 | Time: 1648.48 ms [2022-02-28 03:01:16 main:574] : INFO : Epoch 1737 | loss: 0.0311481 | val_loss: 0.0311582 | Time: 1653.96 ms [2022-02-28 03:01:18 main:574] : INFO : Epoch 1738 | loss: 0.0311477 | val_loss: 0.0311603 | Time: 1643.68 ms [2022-02-28 03:01:19 main:574] : INFO : Epoch 1739 | loss: 0.0311498 | val_loss: 0.0311613 | Time: 1649.54 ms [2022-02-28 03:01:21 main:574] : INFO : Epoch 1740 | loss: 0.0311513 | val_loss: 0.031156 | Time: 1645.6 ms [2022-02-28 03:01:22 main:574] : INFO : Epoch 1741 | loss: 0.0311477 | val_loss: 0.031165 | Time: 1649.51 ms [2022-02-28 03:01:24 main:574] : INFO : Epoch 1742 | loss: 0.0311507 | val_loss: 0.0311578 | Time: 1678.91 ms [2022-02-28 03:01:26 main:574] : INFO : Epoch 1743 | loss: 0.0311471 | val_loss: 0.0311567 | Time: 1647.7 ms [2022-02-28 03:01:27 main:574] : INFO : Epoch 1744 | loss: 0.0311473 | val_loss: 0.0311553 | Time: 1647.18 ms [2022-02-28 03:01:29 main:574] : INFO : Epoch 1745 | loss: 0.0311459 | val_loss: 0.0311537 | Time: 1651.71 ms [2022-02-28 03:01:31 main:574] : INFO : Epoch 1746 | loss: 0.0311431 | val_loss: 0.0311573 | Time: 1656.19 ms [2022-02-28 03:01:32 main:574] : INFO : Epoch 1747 | loss: 0.0311433 | val_loss: 0.0311545 | Time: 1641.03 ms [2022-02-28 03:01:34 main:574] : INFO : Epoch 1748 | loss: 0.0311436 | val_loss: 0.0311534 | Time: 1658.77 ms [2022-02-28 03:01:36 main:574] : INFO : Epoch 1749 | loss: 0.0311425 | val_loss: 0.0311591 | Time: 1641.96 ms [2022-02-28 03:01:37 main:574] : INFO : Epoch 1750 | loss: 0.0311431 | val_loss: 0.0311583 | Time: 1625.9 ms [2022-02-28 03:01:39 main:574] : INFO : Epoch 1751 | loss: 0.0311437 | val_loss: 0.0311553 | Time: 1637.94 ms [2022-02-28 03:01:41 main:574] : INFO : Epoch 1752 | loss: 0.0311438 | val_loss: 0.0311551 | Time: 1637.35 ms [2022-02-28 03:01:42 main:574] : INFO : Epoch 1753 | loss: 0.0311421 | val_loss: 0.0311577 | Time: 1641.1 ms [2022-02-28 03:01:44 main:574] : INFO : Epoch 1754 | loss: 0.0311418 | val_loss: 0.0311548 | Time: 1645.13 ms [2022-02-28 03:01:46 main:574] : INFO : Epoch 1755 | loss: 0.0311424 | val_loss: 0.0311559 | Time: 1632.85 ms [2022-02-28 03:01:47 main:574] : INFO : Epoch 1756 | loss: 0.0311406 | val_loss: 0.031157 | Time: 1630.18 ms [2022-02-28 03:01:49 main:574] : INFO : Epoch 1757 | loss: 0.0311454 | val_loss: 0.0311573 | Time: 1635.52 ms [2022-02-28 03:01:51 main:574] : INFO : Epoch 1758 | loss: 0.0311474 | val_loss: 0.0311602 | Time: 1634.27 ms [2022-02-28 03:01:52 main:574] : INFO : Epoch 1759 | loss: 0.0311549 | val_loss: 0.0311737 | Time: 1645.86 ms [2022-02-28 03:01:54 main:574] : INFO : Epoch 1760 | loss: 0.0311651 | val_loss: 0.0311682 | Time: 1642.36 ms [2022-02-28 03:01:55 main:574] : INFO : Epoch 1761 | loss: 0.031159 | val_loss: 0.0311627 | Time: 1632.37 ms [2022-02-28 03:01:57 main:574] : INFO : Epoch 1762 | loss: 0.0311546 | val_loss: 0.0311639 | Time: 1635.3 ms [2022-02-28 03:01:59 main:574] : INFO : Epoch 1763 | loss: 0.0311542 | val_loss: 0.0311662 | Time: 1629.96 ms [2022-02-28 03:02:00 main:574] : INFO : Epoch 1764 | loss: 0.0311533 | val_loss: 0.0311697 | Time: 1655.08 ms [2022-02-28 03:02:02 main:574] : INFO : Epoch 1765 | loss: 0.0311519 | val_loss: 0.0311588 | Time: 1648.04 ms [2022-02-28 03:02:04 main:574] : INFO : Epoch 1766 | loss: 0.0311494 | val_loss: 0.0311609 | Time: 1663.94 ms [2022-02-28 03:02:05 main:574] : INFO : Epoch 1767 | loss: 0.0311488 | val_loss: 0.0311584 | Time: 1642.4 ms [2022-02-28 03:02:07 main:574] : INFO : Epoch 1768 | loss: 0.0311463 | val_loss: 0.0311555 | Time: 1641.18 ms [2022-02-28 03:02:09 main:574] : INFO : Epoch 1769 | loss: 0.0311457 | val_loss: 0.0311573 | Time: 1636.89 ms [2022-02-28 03:02:10 main:574] : INFO : Epoch 1770 | loss: 0.0311468 | val_loss: 0.0311548 | Time: 1649.95 ms [2022-02-28 03:02:12 main:574] : INFO : Epoch 1771 | loss: 0.0311455 | val_loss: 0.031159 | Time: 1649.22 ms [2022-02-28 03:02:14 main:574] : INFO : Epoch 1772 | loss: 0.0311464 | val_loss: 0.031156 | Time: 1647.21 ms [2022-02-28 03:02:15 main:574] : INFO : Epoch 1773 | loss: 0.0311458 | val_loss: 0.031154 | Time: 1632.05 ms [2022-02-28 03:02:17 main:574] : INFO : Epoch 1774 | loss: 0.031144 | val_loss: 0.0311555 | Time: 1641.03 ms [2022-02-28 03:02:19 main:574] : INFO : Epoch 1775 | loss: 0.0311501 | val_loss: 0.0311547 | Time: 1637.63 ms [2022-02-28 03:02:20 main:574] : INFO : Epoch 1776 | loss: 0.0311475 | val_loss: 0.0311595 | Time: 1640.27 ms [2022-02-28 03:02:22 main:574] : INFO : Epoch 1777 | loss: 0.0311453 | val_loss: 0.0311544 | Time: 1646.55 ms [2022-02-28 03:02:23 main:574] : INFO : Epoch 1778 | loss: 0.0311438 | val_loss: 0.03116 | Time: 1642.39 ms [2022-02-28 03:02:25 main:574] : INFO : Epoch 1779 | loss: 0.0311435 | val_loss: 0.0311595 | Time: 1642.37 ms [2022-02-28 03:02:27 main:574] : INFO : Epoch 1780 | loss: 0.0311414 | val_loss: 0.0311573 | Time: 1635.97 ms [2022-02-28 03:02:28 main:574] : INFO : Epoch 1781 | loss: 0.0311506 | val_loss: 0.0311688 | Time: 1626.15 ms [2022-02-28 03:02:30 main:574] : INFO : Epoch 1782 | loss: 0.0311555 | val_loss: 0.031166 | Time: 1638.18 ms [2022-02-28 03:02:32 main:574] : INFO : Epoch 1783 | loss: 0.0311568 | val_loss: 0.031164 | Time: 1639.1 ms [2022-02-28 03:02:33 main:574] : INFO : Epoch 1784 | loss: 0.0311568 | val_loss: 0.0311627 | Time: 1656.35 ms [2022-02-28 03:02:35 main:574] : INFO : Epoch 1785 | loss: 0.0311536 | val_loss: 0.0311598 | Time: 1630.47 ms [2022-02-28 03:02:37 main:574] : INFO : Epoch 1786 | loss: 0.0311517 | val_loss: 0.0311616 | Time: 1637.43 ms [2022-02-28 03:02:38 main:574] : INFO : Epoch 1787 | loss: 0.0311521 | val_loss: 0.0311622 | Time: 1633.11 ms [2022-02-28 03:02:40 main:574] : INFO : Epoch 1788 | loss: 0.0311504 | val_loss: 0.0311638 | Time: 1638.24 ms [2022-02-28 03:02:42 main:574] : INFO : Epoch 1789 | loss: 0.0311513 | val_loss: 0.031162 | Time: 1636.51 ms [2022-02-28 03:02:43 main:574] : INFO : Epoch 1790 | loss: 0.0311548 | val_loss: 0.031166 | Time: 1649.59 ms [2022-02-28 03:02:45 main:574] : INFO : Epoch 1791 | loss: 0.0311565 | val_loss: 0.0311676 | Time: 1630.18 ms [2022-02-28 03:02:47 main:574] : INFO : Epoch 1792 | loss: 0.0311601 | val_loss: 0.0311701 | Time: 1639.62 ms [2022-02-28 03:02:48 main:574] : INFO : Epoch 1793 | loss: 0.0311592 | val_loss: 0.031166 | Time: 1650.13 ms [2022-02-28 03:02:50 main:574] : INFO : Epoch 1794 | loss: 0.0311571 | val_loss: 0.0311707 | Time: 1638.42 ms [2022-02-28 03:02:51 main:574] : INFO : Epoch 1795 | loss: 0.0311555 | val_loss: 0.0311682 | Time: 1645.86 ms [2022-02-28 03:02:53 main:574] : INFO : Epoch 1796 | loss: 0.0311535 | val_loss: 0.0311651 | Time: 1650.91 ms [2022-02-28 03:02:55 main:574] : INFO : Epoch 1797 | loss: 0.0311527 | val_loss: 0.0311646 | Time: 1640.78 ms [2022-02-28 03:02:56 main:574] : INFO : Epoch 1798 | loss: 0.0311571 | val_loss: 0.0311746 | Time: 1644.88 ms [2022-02-28 03:02:58 main:574] : INFO : Epoch 1799 | loss: 0.0311603 | val_loss: 0.0311694 | Time: 1632.89 ms [2022-02-28 03:03:00 main:574] : INFO : Epoch 1800 | loss: 0.0311566 | val_loss: 0.0311674 | Time: 1631.29 ms [2022-02-28 03:03:01 main:574] : INFO : Epoch 1801 | loss: 0.0311527 | val_loss: 0.0311683 | Time: 1641.83 ms [2022-02-28 03:03:03 main:574] : INFO : Epoch 1802 | loss: 0.031151 | val_loss: 0.0311615 | Time: 1632.27 ms [2022-02-28 03:03:05 main:574] : INFO : Epoch 1803 | loss: 0.0311507 | val_loss: 0.0311636 | Time: 1651.58 ms [2022-02-28 03:03:06 main:574] : INFO : Epoch 1804 | loss: 0.0311583 | val_loss: 0.031172 | Time: 1647.98 ms [2022-02-28 03:03:08 main:574] : INFO : Epoch 1805 | loss: 0.0311579 | val_loss: 0.0311668 | Time: 1635.59 ms [2022-02-28 03:03:10 main:574] : INFO : Epoch 1806 | loss: 0.0311566 | val_loss: 0.0311649 | Time: 1635.57 ms [2022-02-28 03:03:11 main:574] : INFO : Epoch 1807 | loss: 0.0311574 | val_loss: 0.0311663 | Time: 1635.01 ms [2022-02-28 03:03:13 main:574] : INFO : Epoch 1808 | loss: 0.0311572 | val_loss: 0.0311667 | Time: 1646 ms [2022-02-28 03:03:15 main:574] : INFO : Epoch 1809 | loss: 0.0311555 | val_loss: 0.0311649 | Time: 1647.72 ms [2022-02-28 03:03:16 main:574] : INFO : Epoch 1810 | loss: 0.0311564 | val_loss: 0.0311694 | Time: 1632.4 ms [2022-02-28 03:03:18 main:574] : INFO : Epoch 1811 | loss: 0.0311558 | val_loss: 0.0311587 | Time: 1631.28 ms [2022-02-28 03:03:19 main:574] : INFO : Epoch 1812 | loss: 0.0311511 | val_loss: 0.0311601 | Time: 1643.49 ms [2022-02-28 03:03:21 main:574] : INFO : Epoch 1813 | loss: 0.0311493 | val_loss: 0.0311605 | Time: 1639.25 ms [2022-02-28 03:03:23 main:574] : INFO : Epoch 1814 | loss: 0.0311506 | val_loss: 0.031161 | Time: 1637.4 ms [2022-02-28 03:03:24 main:574] : INFO : Epoch 1815 | loss: 0.0311515 | val_loss: 0.031163 | Time: 1653.31 ms [2022-02-28 03:03:26 main:574] : INFO : Epoch 1816 | loss: 0.0311536 | val_loss: 0.0311618 | Time: 1634.44 ms [2022-02-28 03:03:28 main:574] : INFO : Epoch 1817 | loss: 0.0311493 | val_loss: 0.0311582 | Time: 1629.57 ms [2022-02-28 03:03:29 main:574] : INFO : Epoch 1818 | loss: 0.0311474 | val_loss: 0.0311598 | Time: 1630.1 ms [2022-02-28 03:03:31 main:574] : INFO : Epoch 1819 | loss: 0.0311472 | val_loss: 0.03116 | Time: 1644.5 ms [2022-02-28 03:03:33 main:574] : INFO : Epoch 1820 | loss: 0.0311488 | val_loss: 0.0311589 | Time: 1640.01 ms [2022-02-28 03:03:34 main:574] : INFO : Epoch 1821 | loss: 0.0311485 | val_loss: 0.0311612 | Time: 1640.39 ms [2022-02-28 03:03:36 main:574] : INFO : Epoch 1822 | loss: 0.031152 | val_loss: 0.0311593 | Time: 1641.03 ms [2022-02-28 03:03:38 main:574] : INFO : Epoch 1823 | loss: 0.0311531 | val_loss: 0.0311573 | Time: 1644.67 ms [2022-02-28 03:03:39 main:574] : INFO : Epoch 1824 | loss: 0.0311547 | val_loss: 0.0311641 | Time: 1639.62 ms [2022-02-28 03:03:41 main:574] : INFO : Epoch 1825 | loss: 0.0311547 | val_loss: 0.0311601 | Time: 1645.83 ms [2022-02-28 03:03:43 main:574] : INFO : Epoch 1826 | loss: 0.0311535 | val_loss: 0.0311564 | Time: 1645.81 ms [2022-02-28 03:03:44 main:574] : INFO : Epoch 1827 | loss: 0.031153 | val_loss: 0.0311598 | Time: 1646.93 ms [2022-02-28 03:03:46 main:574] : INFO : Epoch 1828 | loss: 0.0311515 | val_loss: 0.0311583 | Time: 1633.62 ms [2022-02-28 03:03:47 main:574] : INFO : Epoch 1829 | loss: 0.0311518 | val_loss: 0.0311588 | Time: 1632.12 ms [2022-02-28 03:03:49 main:574] : INFO : Epoch 1830 | loss: 0.0311507 | val_loss: 0.0311576 | Time: 1634.63 ms [2022-02-28 03:03:51 main:574] : INFO : Epoch 1831 | loss: 0.0311496 | val_loss: 0.0311559 | Time: 1632.55 ms [2022-02-28 03:03:52 main:574] : INFO : Epoch 1832 | loss: 0.0311518 | val_loss: 0.0311565 | Time: 1645.37 ms [2022-02-28 03:03:54 main:574] : INFO : Epoch 1833 | loss: 0.031151 | val_loss: 0.0311582 | Time: 1652.13 ms [2022-02-28 03:03:56 main:574] : INFO : Epoch 1834 | loss: 0.0311504 | val_loss: 0.0311644 | Time: 1637.83 ms [2022-02-28 03:03:57 main:574] : INFO : Epoch 1835 | loss: 0.0311518 | val_loss: 0.0311592 | Time: 1642.23 ms [2022-02-28 03:03:59 main:574] : INFO : Epoch 1836 | loss: 0.0311487 | val_loss: 0.0311544 | Time: 1640 ms [2022-02-28 03:04:01 main:574] : INFO : Epoch 1837 | loss: 0.0311503 | val_loss: 0.0311542 | Time: 1650.48 ms [2022-02-28 03:04:02 main:574] : INFO : Epoch 1838 | loss: 0.0311477 | val_loss: 0.0311542 | Time: 1638.39 ms [2022-02-28 03:04:04 main:574] : INFO : Epoch 1839 | loss: 0.0311479 | val_loss: 0.0311559 | Time: 1645.58 ms [2022-02-28 03:04:06 main:574] : INFO : Epoch 1840 | loss: 0.0311463 | val_loss: 0.031153 | Time: 1631.84 ms [2022-02-28 03:04:07 main:574] : INFO : Epoch 1841 | loss: 0.0311486 | val_loss: 0.031163 | Time: 1637.8 ms [2022-02-28 03:04:09 main:574] : INFO : Epoch 1842 | loss: 0.0311633 | val_loss: 0.0311626 | Time: 1627.58 ms [2022-02-28 03:04:10 main:574] : INFO : Epoch 1843 | loss: 0.0311645 | val_loss: 0.031165 | Time: 1637.59 ms [2022-02-28 03:04:12 main:574] : INFO : Epoch 1844 | loss: 0.0311635 | val_loss: 0.0311629 | Time: 1636.18 ms [2022-02-28 03:04:14 main:574] : INFO : Epoch 1845 | loss: 0.0311629 | val_loss: 0.0311623 | Time: 1645.58 ms [2022-02-28 03:04:15 main:574] : INFO : Epoch 1846 | loss: 0.0311638 | val_loss: 0.031162 | Time: 1622.14 ms [2022-02-28 03:04:17 main:574] : INFO : Epoch 1847 | loss: 0.0311632 | val_loss: 0.0311717 | Time: 1640.75 ms [2022-02-28 03:04:19 main:574] : INFO : Epoch 1848 | loss: 0.0311641 | val_loss: 0.0311689 | Time: 1648.35 ms [2022-02-28 03:04:20 main:574] : INFO : Epoch 1849 | loss: 0.0311616 | val_loss: 0.0311618 | Time: 1641.35 ms [2022-02-28 03:04:22 main:574] : INFO : Epoch 1850 | loss: 0.0311612 | val_loss: 0.0311617 | Time: 1642.65 ms [2022-02-28 03:04:24 main:574] : INFO : Epoch 1851 | loss: 0.0311588 | val_loss: 0.0311635 | Time: 1653.58 ms [2022-02-28 03:04:25 main:574] : INFO : Epoch 1852 | loss: 0.0311592 | val_loss: 0.0311603 | Time: 1648.2 ms [2022-02-28 03:04:27 main:574] : INFO : Epoch 1853 | loss: 0.0311569 | val_loss: 0.0311618 | Time: 1637.84 ms [2022-02-28 03:04:29 main:574] : INFO : Epoch 1854 | loss: 0.0311573 | val_loss: 0.0311619 | Time: 1623.37 ms [2022-02-28 03:04:30 main:574] : INFO : Epoch 1855 | loss: 0.0311567 | val_loss: 0.0311591 | Time: 1637.09 ms [2022-02-28 03:04:32 main:574] : INFO : Epoch 1856 | loss: 0.0311546 | val_loss: 0.0311595 | Time: 1638.97 ms [2022-02-28 03:04:34 main:574] : INFO : Epoch 1857 | loss: 0.031155 | val_loss: 0.0311614 | Time: 1654.99 ms [2022-02-28 03:04:35 main:574] : INFO : Epoch 1858 | loss: 0.031156 | val_loss: 0.0311587 | Time: 1640.7 ms [2022-02-28 03:04:37 main:574] : INFO : Epoch 1859 | loss: 0.0311534 | val_loss: 0.0311565 | Time: 1640.39 ms [2022-02-28 03:04:38 main:574] : INFO : Epoch 1860 | loss: 0.0311534 | val_loss: 0.0311575 | Time: 1631.17 ms [2022-02-28 03:04:40 main:574] : INFO : Epoch 1861 | loss: 0.0311534 | val_loss: 0.031158 | Time: 1636.25 ms [2022-02-28 03:04:42 main:574] : INFO : Epoch 1862 | loss: 0.0311523 | val_loss: 0.0311579 | Time: 1644.99 ms [2022-02-28 03:04:43 main:574] : INFO : Epoch 1863 | loss: 0.0311544 | val_loss: 0.0311571 | Time: 1652.07 ms [2022-02-28 03:04:45 main:574] : INFO : Epoch 1864 | loss: 0.0311527 | val_loss: 0.0311566 | Time: 1639.6 ms [2022-02-28 03:04:47 main:574] : INFO : Epoch 1865 | loss: 0.031153 | val_loss: 0.0311576 | Time: 1633.74 ms [2022-02-28 03:04:48 main:574] : INFO : Epoch 1866 | loss: 0.0311531 | val_loss: 0.0311568 | Time: 1629.64 ms [2022-02-28 03:04:50 main:574] : INFO : Epoch 1867 | loss: 0.031153 | val_loss: 0.0311549 | Time: 1639.63 ms [2022-02-28 03:04:52 main:574] : INFO : Epoch 1868 | loss: 0.0311533 | val_loss: 0.0311599 | Time: 1639.72 ms [2022-02-28 03:04:53 main:574] : INFO : Epoch 1869 | loss: 0.0311543 | val_loss: 0.0311555 | Time: 1645.12 ms [2022-02-28 03:04:55 main:574] : INFO : Epoch 1870 | loss: 0.0311517 | val_loss: 0.0311557 | Time: 1635.83 ms [2022-02-28 03:04:57 main:574] : INFO : Epoch 1871 | loss: 0.031154 | val_loss: 0.0311644 | Time: 1628.34 ms [2022-02-28 03:04:58 main:574] : INFO : Epoch 1872 | loss: 0.0311618 | val_loss: 0.0311779 | Time: 1630.01 ms [2022-02-28 03:05:00 main:574] : INFO : Epoch 1873 | loss: 0.0311593 | val_loss: 0.0311626 | Time: 1626.25 ms [2022-02-28 03:05:01 main:574] : INFO : Epoch 1874 | loss: 0.0311566 | val_loss: 0.0311613 | Time: 1635.37 ms [2022-02-28 03:05:03 main:574] : INFO : Epoch 1875 | loss: 0.0311542 | val_loss: 0.0311578 | Time: 1642.37 ms [2022-02-28 03:05:05 main:574] : INFO : Epoch 1876 | loss: 0.0311546 | val_loss: 0.0311578 | Time: 1641.22 ms [2022-02-28 03:05:06 main:574] : INFO : Epoch 1877 | loss: 0.0311531 | val_loss: 0.0311587 | Time: 1635.45 ms [2022-02-28 03:05:08 main:574] : INFO : Epoch 1878 | loss: 0.0311535 | val_loss: 0.0311591 | Time: 1633.6 ms [2022-02-28 03:05:10 main:574] : INFO : Epoch 1879 | loss: 0.0311519 | val_loss: 0.0311592 | Time: 1628.81 ms [2022-02-28 03:05:11 main:574] : INFO : Epoch 1880 | loss: 0.0311526 | val_loss: 0.0311605 | Time: 1641.18 ms [2022-02-28 03:05:13 main:574] : INFO : Epoch 1881 | loss: 0.0311528 | val_loss: 0.0311604 | Time: 1648.16 ms [2022-02-28 03:05:15 main:574] : INFO : Epoch 1882 | loss: 0.031152 | val_loss: 0.0311602 | Time: 1633.4 ms [2022-02-28 03:05:16 main:574] : INFO : Epoch 1883 | loss: 0.0311538 | val_loss: 0.0311581 | Time: 1635.56 ms [2022-02-28 03:05:18 main:574] : INFO : Epoch 1884 | loss: 0.0311526 | val_loss: 0.0311587 | Time: 1630.6 ms [2022-02-28 03:05:20 main:574] : INFO : Epoch 1885 | loss: 0.0311501 | val_loss: 0.0311578 | Time: 1642.09 ms [2022-02-28 03:05:21 main:574] : INFO : Epoch 1886 | loss: 0.0311512 | val_loss: 0.0311593 | Time: 1646.05 ms [2022-02-28 03:05:23 main:574] : INFO : Epoch 1887 | loss: 0.0311544 | val_loss: 0.0311599 | Time: 1634.32 ms [2022-02-28 03:05:24 main:574] : INFO : Epoch 1888 | loss: 0.0311486 | val_loss: 0.0311571 | Time: 1653.64 ms [2022-02-28 03:05:26 main:574] : INFO : Epoch 1889 | loss: 0.0311497 | val_loss: 0.0311563 | Time: 1628.42 ms [2022-02-28 03:05:28 main:574] : INFO : Epoch 1890 | loss: 0.0311489 | val_loss: 0.0311581 | Time: 1635.39 ms [2022-02-28 03:05:29 main:574] : INFO : Epoch 1891 | loss: 0.0311496 | val_loss: 0.0311626 | Time: 1624.02 ms [2022-02-28 03:05:31 main:574] : INFO : Epoch 1892 | loss: 0.031149 | val_loss: 0.0311598 | Time: 1638.22 ms [2022-02-28 03:05:33 main:574] : INFO : Epoch 1893 | loss: 0.0311493 | val_loss: 0.0311611 | Time: 1640.8 ms [2022-02-28 03:05:34 main:574] : INFO : Epoch 1894 | loss: 0.0311491 | val_loss: 0.0311575 | Time: 1671.36 ms [2022-02-28 03:05:36 main:574] : INFO : Epoch 1895 | loss: 0.03115 | val_loss: 0.0311582 | Time: 1631.68 ms [2022-02-28 03:05:38 main:574] : INFO : Epoch 1896 | loss: 0.0311482 | val_loss: 0.0311585 | Time: 1636.89 ms [2022-02-28 03:05:39 main:574] : INFO : Epoch 1897 | loss: 0.031147 | val_loss: 0.031159 | Time: 1639.94 ms [2022-02-28 03:05:41 main:574] : INFO : Epoch 1898 | loss: 0.0311469 | val_loss: 0.0311596 | Time: 1641.85 ms [2022-02-28 03:05:43 main:574] : INFO : Epoch 1899 | loss: 0.0311469 | val_loss: 0.0311575 | Time: 1636.48 ms [2022-02-28 03:05:44 main:574] : INFO : Epoch 1900 | loss: 0.0311469 | val_loss: 0.0311625 | Time: 1646.23 ms [2022-02-28 03:05:46 main:574] : INFO : Epoch 1901 | loss: 0.0311447 | val_loss: 0.0311569 | Time: 1625.16 ms [2022-02-28 03:05:48 main:574] : INFO : Epoch 1902 | loss: 0.0311472 | val_loss: 0.0311582 | Time: 1640.68 ms [2022-02-28 03:05:49 main:574] : INFO : Epoch 1903 | loss: 0.0311483 | val_loss: 0.03116 | Time: 1653.58 ms [2022-02-28 03:05:51 main:574] : INFO : Epoch 1904 | loss: 0.0311519 | val_loss: 0.0311593 | Time: 1639.57 ms [2022-02-28 03:05:52 main:574] : INFO : Epoch 1905 | loss: 0.0311521 | val_loss: 0.0311581 | Time: 1641.03 ms [2022-02-28 03:05:54 main:574] : INFO : Epoch 1906 | loss: 0.0311512 | val_loss: 0.0311614 | Time: 1651.95 ms [2022-02-28 03:05:56 main:574] : INFO : Epoch 1907 | loss: 0.0311527 | val_loss: 0.0311582 | Time: 1645.27 ms [2022-02-28 03:05:57 main:574] : INFO : Epoch 1908 | loss: 0.0311532 | val_loss: 0.0311554 | Time: 1636.98 ms [2022-02-28 03:05:59 main:574] : INFO : Epoch 1909 | loss: 0.0311542 | val_loss: 0.0311556 | Time: 1629.95 ms [2022-02-28 03:06:01 main:574] : INFO : Epoch 1910 | loss: 0.0311544 | val_loss: 0.0311571 | Time: 1644.23 ms [2022-02-28 03:06:02 main:574] : INFO : Epoch 1911 | loss: 0.0311534 | val_loss: 0.0311588 | Time: 1644.19 ms [2022-02-28 03:06:04 main:574] : INFO : Epoch 1912 | loss: 0.0311523 | val_loss: 0.0311562 | Time: 1643.32 ms [2022-02-28 03:06:06 main:574] : INFO : Epoch 1913 | loss: 0.0311512 | val_loss: 0.0311532 | Time: 1634.24 ms [2022-02-28 03:06:07 main:574] : INFO : Epoch 1914 | loss: 0.0311488 | val_loss: 0.0311541 | Time: 1640.03 ms [2022-02-28 03:06:09 main:574] : INFO : Epoch 1915 | loss: 0.0311525 | val_loss: 0.0311568 | Time: 1634.49 ms [2022-02-28 03:06:11 main:574] : INFO : Epoch 1916 | loss: 0.0311551 | val_loss: 0.0311611 | Time: 1638.26 ms [2022-02-28 03:06:12 main:574] : INFO : Epoch 1917 | loss: 0.0311537 | val_loss: 0.0311583 | Time: 1641.27 ms [2022-02-28 03:06:14 main:574] : INFO : Epoch 1918 | loss: 0.0311539 | val_loss: 0.03116 | Time: 1646.03 ms [2022-02-28 03:06:16 main:574] : INFO : Epoch 1919 | loss: 0.0311558 | val_loss: 0.0311579 | Time: 1631.31 ms [2022-02-28 03:06:17 main:574] : INFO : Epoch 1920 | loss: 0.0311547 | val_loss: 0.0311555 | Time: 1636.2 ms [2022-02-28 03:06:19 main:574] : INFO : Epoch 1921 | loss: 0.0311527 | val_loss: 0.031157 | Time: 1638.07 ms [2022-02-28 03:06:20 main:574] : INFO : Epoch 1922 | loss: 0.0311527 | val_loss: 0.0311566 | Time: 1636.52 ms [2022-02-28 03:06:22 main:574] : INFO : Epoch 1923 | loss: 0.0311511 | val_loss: 0.0311578 | Time: 1639.15 ms [2022-02-28 03:06:24 main:574] : INFO : Epoch 1924 | loss: 0.0311516 | val_loss: 0.0311558 | Time: 1644.83 ms [2022-02-28 03:06:25 main:574] : INFO : Epoch 1925 | loss: 0.0311521 | val_loss: 0.0311531 | Time: 1632.87 ms [2022-02-28 03:06:27 main:574] : INFO : Epoch 1926 | loss: 0.0311507 | val_loss: 0.0311519 | Time: 1628.55 ms [2022-02-28 03:06:29 main:574] : INFO : Epoch 1927 | loss: 0.0311493 | val_loss: 0.0311528 | Time: 1640.88 ms [2022-02-28 03:06:30 main:574] : INFO : Epoch 1928 | loss: 0.0311501 | val_loss: 0.0311509 | Time: 1642.18 ms [2022-02-28 03:06:32 main:574] : INFO : Epoch 1929 | loss: 0.0311493 | val_loss: 0.0311513 | Time: 1646.98 ms [2022-02-28 03:06:34 main:574] : INFO : Epoch 1930 | loss: 0.0311485 | val_loss: 0.0311508 | Time: 1653.04 ms [2022-02-28 03:06:35 main:574] : INFO : Epoch 1931 | loss: 0.031148 | val_loss: 0.0311506 | Time: 1639.88 ms [2022-02-28 03:06:37 main:574] : INFO : Epoch 1932 | loss: 0.0311479 | val_loss: 0.0311535 | Time: 1642.74 ms [2022-02-28 03:06:39 main:574] : INFO : Epoch 1933 | loss: 0.0311476 | val_loss: 0.0311552 | Time: 1638.77 ms [2022-02-28 03:06:40 main:574] : INFO : Epoch 1934 | loss: 0.0311489 | val_loss: 0.0311532 | Time: 1636.43 ms [2022-02-28 03:06:42 main:574] : INFO : Epoch 1935 | loss: 0.0311471 | val_loss: 0.0311533 | Time: 1643.32 ms [2022-02-28 03:06:43 main:574] : INFO : Epoch 1936 | loss: 0.0311472 | val_loss: 0.031156 | Time: 1649.58 ms [2022-02-28 03:06:45 main:574] : INFO : Epoch 1937 | loss: 0.0311458 | val_loss: 0.031154 | Time: 1633.47 ms [2022-02-28 03:06:47 main:574] : INFO : Epoch 1938 | loss: 0.0311486 | val_loss: 0.0311629 | Time: 1638.31 ms [2022-02-28 03:06:48 main:574] : INFO : Epoch 1939 | loss: 0.0311473 | val_loss: 0.0311524 | Time: 1643.62 ms [2022-02-28 03:06:50 main:574] : INFO : Epoch 1940 | loss: 0.031145 | val_loss: 0.0311548 | Time: 1637.19 ms [2022-02-28 03:06:52 main:574] : INFO : Epoch 1941 | loss: 0.0311456 | val_loss: 0.0311554 | Time: 1638.61 ms [2022-02-28 03:06:53 main:574] : INFO : Epoch 1942 | loss: 0.0311458 | val_loss: 0.031154 | Time: 1633.76 ms [2022-02-28 03:06:55 main:574] : INFO : Epoch 1943 | loss: 0.0311445 | val_loss: 0.0311563 | Time: 1644.71 ms [2022-02-28 03:06:57 main:574] : INFO : Epoch 1944 | loss: 0.0311475 | val_loss: 0.0311593 | Time: 1647.69 ms [2022-02-28 03:06:58 main:574] : INFO : Epoch 1945 | loss: 0.0311481 | val_loss: 0.031155 | Time: 1633.54 ms [2022-02-28 03:07:00 main:574] : INFO : Epoch 1946 | loss: 0.0311464 | val_loss: 0.0311533 | Time: 1629.84 ms [2022-02-28 03:07:02 main:574] : INFO : Epoch 1947 | loss: 0.0311444 | val_loss: 0.0311539 | Time: 1638.63 ms [2022-02-28 03:07:03 main:574] : INFO : Epoch 1948 | loss: 0.0311446 | val_loss: 0.0311546 | Time: 1638.02 ms [2022-02-28 03:07:05 main:574] : INFO : Epoch 1949 | loss: 0.0311451 | val_loss: 0.0311547 | Time: 1654.08 ms [2022-02-28 03:07:07 main:574] : INFO : Epoch 1950 | loss: 0.0311472 | val_loss: 0.0311556 | Time: 1634.19 ms [2022-02-28 03:07:08 main:574] : INFO : Epoch 1951 | loss: 0.0311548 | val_loss: 0.0311563 | Time: 1644.04 ms [2022-02-28 03:07:10 main:574] : INFO : Epoch 1952 | loss: 0.0311551 | val_loss: 0.0311586 | Time: 1630.75 ms [2022-02-28 03:07:11 main:574] : INFO : Epoch 1953 | loss: 0.0311543 | val_loss: 0.0311594 | Time: 1644.48 ms [2022-02-28 03:07:13 main:574] : INFO : Epoch 1954 | loss: 0.031155 | val_loss: 0.0311568 | Time: 1633.12 ms [2022-02-28 03:07:15 main:574] : INFO : Epoch 1955 | loss: 0.0311559 | val_loss: 0.0311573 | Time: 1646.99 ms [2022-02-28 03:07:16 main:574] : INFO : Epoch 1956 | loss: 0.0311549 | val_loss: 0.0311541 | Time: 1629.21 ms [2022-02-28 03:07:18 main:574] : INFO : Epoch 1957 | loss: 0.0311516 | val_loss: 0.0311551 | Time: 1641.04 ms [2022-02-28 03:07:20 main:574] : INFO : Epoch 1958 | loss: 0.0311564 | val_loss: 0.0311602 | Time: 1637.37 ms [2022-02-28 03:07:21 main:574] : INFO : Epoch 1959 | loss: 0.0311508 | val_loss: 0.0311518 | Time: 1637.3 ms [2022-02-28 03:07:23 main:574] : INFO : Epoch 1960 | loss: 0.03115 | val_loss: 0.0311534 | Time: 1632.15 ms [2022-02-28 03:07:25 main:574] : INFO : Epoch 1961 | loss: 0.0311505 | val_loss: 0.0311517 | Time: 1650.84 ms [2022-02-28 03:07:26 main:574] : INFO : Epoch 1962 | loss: 0.0311508 | val_loss: 0.031154 | Time: 1628.77 ms [2022-02-28 03:07:28 main:574] : INFO : Epoch 1963 | loss: 0.0311469 | val_loss: 0.0311515 | Time: 1642.73 ms [2022-02-28 03:07:30 main:574] : INFO : Epoch 1964 | loss: 0.0311475 | val_loss: 0.031157 | Time: 1630.82 ms [2022-02-28 03:07:31 main:574] : INFO : Epoch 1965 | loss: 0.0311495 | val_loss: 0.0311523 | Time: 1641.5 ms [2022-02-28 03:07:33 main:574] : INFO : Epoch 1966 | loss: 0.0311468 | val_loss: 0.0311506 | Time: 1639.95 ms [2022-02-28 03:07:34 main:574] : INFO : Epoch 1967 | loss: 0.0311453 | val_loss: 0.0311512 | Time: 1652.07 ms [2022-02-28 03:07:36 main:574] : INFO : Epoch 1968 | loss: 0.031145 | val_loss: 0.0311496 | Time: 1633.38 ms [2022-02-28 03:07:38 main:574] : INFO : Epoch 1969 | loss: 0.0311447 | val_loss: 0.0311519 | Time: 1632.87 ms [2022-02-28 03:07:39 main:574] : INFO : Epoch 1970 | loss: 0.0311462 | val_loss: 0.0311492 | Time: 1631.06 ms [2022-02-28 03:07:41 main:574] : INFO : Epoch 1971 | loss: 0.0311443 | val_loss: 0.0311519 | Time: 1641.27 ms [2022-02-28 03:07:43 main:574] : INFO : Epoch 1972 | loss: 0.0311424 | val_loss: 0.0311503 | Time: 1650.99 ms [2022-02-28 03:07:44 main:574] : INFO : Epoch 1973 | loss: 0.0311437 | val_loss: 0.031153 | Time: 1647.51 ms [2022-02-28 03:07:46 main:574] : INFO : Epoch 1974 | loss: 0.0311468 | val_loss: 0.0311524 | Time: 1635.67 ms [2022-02-28 03:07:48 main:574] : INFO : Epoch 1975 | loss: 0.0311467 | val_loss: 0.0311531 | Time: 1633.57 ms [2022-02-28 03:07:49 main:574] : INFO : Epoch 1976 | loss: 0.0311468 | val_loss: 0.0311522 | Time: 1632.85 ms [2022-02-28 03:07:51 main:574] : INFO : Epoch 1977 | loss: 0.0311469 | val_loss: 0.0311529 | Time: 1642.35 ms [2022-02-28 03:07:53 main:574] : INFO : Epoch 1978 | loss: 0.0311463 | val_loss: 0.0311529 | Time: 1633.52 ms [2022-02-28 03:07:54 main:574] : INFO : Epoch 1979 | loss: 0.0311452 | val_loss: 0.0311554 | Time: 1649.04 ms [2022-02-28 03:07:56 main:574] : INFO : Epoch 1980 | loss: 0.0311467 | val_loss: 0.0311514 | Time: 1627.88 ms [2022-02-28 03:07:57 main:574] : INFO : Epoch 1981 | loss: 0.0311481 | val_loss: 0.0311577 | Time: 1638.75 ms [2022-02-28 03:07:59 main:574] : INFO : Epoch 1982 | loss: 0.0311633 | val_loss: 0.0311749 | Time: 1633.51 ms [2022-02-28 03:08:01 main:574] : INFO : Epoch 1983 | loss: 0.0311681 | val_loss: 0.0311733 | Time: 1633.78 ms [2022-02-28 03:08:02 main:574] : INFO : Epoch 1984 | loss: 0.0311663 | val_loss: 0.0311697 | Time: 1636.72 ms [2022-02-28 03:08:04 main:574] : INFO : Epoch 1985 | loss: 0.0311637 | val_loss: 0.0311686 | Time: 1653.46 ms [2022-02-28 03:08:06 main:574] : INFO : Epoch 1986 | loss: 0.0311637 | val_loss: 0.0311724 | Time: 1631.58 ms [2022-02-28 03:08:07 main:574] : INFO : Epoch 1987 | loss: 0.0311622 | val_loss: 0.0311719 | Time: 1642.14 ms [2022-02-28 03:08:09 main:574] : INFO : Epoch 1988 | loss: 0.0311624 | val_loss: 0.0311744 | Time: 1642.72 ms [2022-02-28 03:08:11 main:574] : INFO : Epoch 1989 | loss: 0.0311617 | val_loss: 0.031169 | Time: 1637.31 ms [2022-02-28 03:08:12 main:574] : INFO : Epoch 1990 | loss: 0.0311584 | val_loss: 0.0311675 | Time: 1641.88 ms [2022-02-28 03:08:14 main:574] : INFO : Epoch 1991 | loss: 0.0311571 | val_loss: 0.0311682 | Time: 1647.52 ms [2022-02-28 03:08:16 main:574] : INFO : Epoch 1992 | loss: 0.0311591 | val_loss: 0.0311694 | Time: 1633.1 ms [2022-02-28 03:08:17 main:574] : INFO : Epoch 1993 | loss: 0.0311615 | val_loss: 0.0311703 | Time: 1631.92 ms [2022-02-28 03:08:19 main:574] : INFO : Epoch 1994 | loss: 0.0311612 | val_loss: 0.0311694 | Time: 1640.47 ms [2022-02-28 03:08:21 main:574] : INFO : Epoch 1995 | loss: 0.0311588 | val_loss: 0.0311689 | Time: 1643.37 ms [2022-02-28 03:08:22 main:574] : INFO : Epoch 1996 | loss: 0.0311566 | val_loss: 0.031167 | Time: 1650.75 ms [2022-02-28 03:08:24 main:574] : INFO : Epoch 1997 | loss: 0.0311558 | val_loss: 0.0311687 | Time: 1638.73 ms [2022-02-28 03:08:25 main:574] : INFO : Epoch 1998 | loss: 0.0311563 | val_loss: 0.0311675 | Time: 1639.85 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 970) [2022-02-28 03:09:12 main:435] : INFO : Set logging level to 1 [2022-02-28 03:09:12 main:441] : INFO : Running in BOINC Client mode [2022-02-28 03:09:12 main:444] : INFO : Resolving all filenames [2022-02-28 03:09:12 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-02-28 03:09:12 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-02-28 03:09:12 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-02-28 03:09:12 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1) [2022-02-28 03:09:12 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-02-28 03:09:12 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-02-28 03:09:12 main:474] : INFO : Configuration: [2022-02-28 03:09:12 main:475] : INFO : Model type: GRU [2022-02-28 03:09:12 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-02-28 03:09:12 main:477] : INFO : Max Epochs: 2048 [2022-02-28 03:09:12 main:478] : INFO : Batch Size: 128 [2022-02-28 03:09:12 main:479] : INFO : Learning Rate: 0.01 [2022-02-28 03:09:12 main:480] : INFO : Patience: 10 [2022-02-28 03:09:12 main:481] : INFO : Hidden Width: 12 [2022-02-28 03:09:12 main:482] : INFO : # Recurrent Layers: 4 [2022-02-28 03:09:12 main:483] : INFO : # Backend Layers: 4 [2022-02-28 03:09:12 main:484] : INFO : # Threads: 1 [2022-02-28 03:09:12 main:486] : INFO : Preparing Dataset [2022-02-28 03:09:12 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-02-28 03:09:12 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory [2022-02-28 03:09:13 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2022-02-28 03:09:13 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory [2022-02-28 03:09:13 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory [2022-02-28 03:09:14 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2022-02-28 03:09:14 main:494] : INFO : Creating Model [2022-02-28 03:09:14 main:507] : INFO : Preparing config file [2022-02-28 03:09:14 main:511] : INFO : Found checkpoint, attempting to load... [2022-02-28 03:09:14 main:512] : INFO : Loading config [2022-02-28 03:09:14 main:514] : INFO : Loading state [2022-02-28 03:09:14 main:559] : INFO : Loading DataLoader into Memory [2022-02-28 03:09:14 main:562] : INFO : Starting Training [2022-02-28 03:09:16 main:574] : INFO : Epoch 1982 | loss: 0.0311811 | val_loss: 0.031162 | Time: 1818.08 ms [2022-02-28 03:09:18 main:574] : INFO : Epoch 1983 | loss: 0.03115 | val_loss: 0.0311544 | Time: 1621.54 ms [2022-02-28 03:09:19 main:574] : INFO : Epoch 1984 | loss: 0.0311465 | val_loss: 0.0311537 | Time: 1628.59 ms [2022-02-28 03:09:21 main:574] : INFO : Epoch 1985 | loss: 0.0311466 | val_loss: 0.0311526 | Time: 1630.63 ms [2022-02-28 03:09:22 main:574] : INFO : Epoch 1986 | loss: 0.0311455 | val_loss: 0.0311554 | Time: 1643.03 ms [2022-02-28 03:09:24 main:574] : INFO : Epoch 1987 | loss: 0.0311459 | val_loss: 0.0311538 | Time: 1655.45 ms [2022-02-28 03:09:26 main:574] : INFO : Epoch 1988 | loss: 0.0311448 | val_loss: 0.0311528 | Time: 1632.4 ms [2022-02-28 03:09:27 main:574] : INFO : Epoch 1989 | loss: 0.0311451 | val_loss: 0.0311622 | Time: 1629.46 ms [2022-02-28 03:09:29 main:574] : INFO : Epoch 1990 | loss: 0.0311473 | val_loss: 0.0311539 | Time: 1647.62 ms [2022-02-28 03:09:31 main:574] : INFO : Epoch 1991 | loss: 0.0311457 | val_loss: 0.0311576 | Time: 1630.3 ms [2022-02-28 03:09:32 main:574] : INFO : Epoch 1992 | loss: 0.0311495 | val_loss: 0.0311588 | Time: 1645.1 ms [2022-02-28 03:09:34 main:574] : INFO : Epoch 1993 | loss: 0.0311537 | val_loss: 0.0311592 | Time: 1647.94 ms [2022-02-28 03:09:36 main:574] : INFO : Epoch 1994 | loss: 0.0311583 | val_loss: 0.0311589 | Time: 1637.12 ms [2022-02-28 03:09:37 main:574] : INFO : Epoch 1995 | loss: 0.031156 | val_loss: 0.0311608 | Time: 1623.27 ms [2022-02-28 03:09:39 main:574] : INFO : Epoch 1996 | loss: 0.0311548 | val_loss: 0.0311616 | Time: 1639.9 ms [2022-02-28 03:09:41 main:574] : INFO : Epoch 1997 | loss: 0.0311522 | val_loss: 0.0311549 | Time: 1635.02 ms [2022-02-28 03:09:42 main:574] : INFO : Epoch 1998 | loss: 0.0311497 | val_loss: 0.0311574 | Time: 1644.57 ms [2022-02-28 03:09:44 main:574] : INFO : Epoch 1999 | loss: 0.0311489 | val_loss: 0.0311587 | Time: 1644.66 ms [2022-02-28 03:09:45 main:574] : INFO : Epoch 2000 | loss: 0.0311472 | val_loss: 0.0311587 | Time: 1631.41 ms [2022-02-28 03:09:47 main:574] : INFO : Epoch 2001 | loss: 0.0311489 | val_loss: 0.031159 | Time: 1628.62 ms [2022-02-28 03:09:49 main:574] : INFO : Epoch 2002 | loss: 0.0311491 | val_loss: 0.0311598 | Time: 1640.09 ms [2022-02-28 03:09:50 main:574] : INFO : Epoch 2003 | loss: 0.0311506 | val_loss: 0.031157 | Time: 1641.17 ms [2022-02-28 03:09:52 main:574] : INFO : Epoch 2004 | loss: 0.0311553 | val_loss: 0.0311564 | Time: 1636.11 ms [2022-02-28 03:09:54 main:574] : INFO : Epoch 2005 | loss: 0.0311558 | val_loss: 0.03116 | Time: 1637.97 ms [2022-02-28 03:09:55 main:574] : INFO : Epoch 2006 | loss: 0.0311529 | val_loss: 0.0311602 | Time: 1641.28 ms [2022-02-28 03:09:57 main:574] : INFO : Epoch 2007 | loss: 0.0311508 | val_loss: 0.031161 | Time: 1624.49 ms [2022-02-28 03:09:59 main:574] : INFO : Epoch 2008 | loss: 0.0311511 | val_loss: 0.0311622 | Time: 1630.44 ms [2022-02-28 03:10:00 main:574] : INFO : Epoch 2009 | loss: 0.03115 | val_loss: 0.0311641 | Time: 1632.26 ms [2022-02-28 03:10:02 main:574] : INFO : Epoch 2010 | loss: 0.0311573 | val_loss: 0.0311637 | Time: 1638.23 ms [2022-02-28 03:10:04 main:574] : INFO : Epoch 2011 | loss: 0.0311571 | val_loss: 0.0311582 | Time: 1634.83 ms [2022-02-28 03:10:05 main:574] : INFO : Epoch 2012 | loss: 0.0311551 | val_loss: 0.0311595 | Time: 1641.27 ms [2022-02-28 03:10:07 main:574] : INFO : Epoch 2013 | loss: 0.031152 | val_loss: 0.0311578 | Time: 1643.56 ms [2022-02-28 03:10:08 main:574] : INFO : Epoch 2014 | loss: 0.031156 | val_loss: 0.0311601 | Time: 1640.21 ms [2022-02-28 03:10:10 main:574] : INFO : Epoch 2015 | loss: 0.031163 | val_loss: 0.0311613 | Time: 1637.5 ms [2022-02-28 03:10:12 main:574] : INFO : Epoch 2016 | loss: 0.0311608 | val_loss: 0.0311588 | Time: 1636.28 ms [2022-02-28 03:10:13 main:574] : INFO : Epoch 2017 | loss: 0.0311574 | val_loss: 0.0311581 | Time: 1653.54 ms [2022-02-28 03:10:15 main:574] : INFO : Epoch 2018 | loss: 0.0311572 | val_loss: 0.0311551 | Time: 1640.52 ms [2022-02-28 03:10:17 main:574] : INFO : Epoch 2019 | loss: 0.0311561 | val_loss: 0.0311569 | Time: 1630.84 ms [2022-02-28 03:10:18 main:574] : INFO : Epoch 2020 | loss: 0.0311546 | val_loss: 0.031159 | Time: 1632.24 ms [2022-02-28 03:10:20 main:574] : INFO : Epoch 2021 | loss: 0.0311539 | val_loss: 0.0311559 | Time: 1647.59 ms [2022-02-28 03:10:22 main:574] : INFO : Epoch 2022 | loss: 0.0311543 | val_loss: 0.0311597 | Time: 1639.12 ms [2022-02-28 03:10:23 main:574] : INFO : Epoch 2023 | loss: 0.0311535 | val_loss: 0.0311545 | Time: 1633.46 ms [2022-02-28 03:10:25 main:574] : INFO : Epoch 2024 | loss: 0.0311531 | val_loss: 0.0311553 | Time: 1648.27 ms [2022-02-28 03:10:27 main:574] : INFO : Epoch 2025 | loss: 0.0311565 | val_loss: 0.0311562 | Time: 1628.61 ms [2022-02-28 03:10:28 main:574] : INFO : Epoch 2026 | loss: 0.0311594 | val_loss: 0.0311614 | Time: 1631.2 ms [2022-02-28 03:10:30 main:574] : INFO : Epoch 2027 | loss: 0.0311572 | val_loss: 0.0311592 | Time: 1624.92 ms [2022-02-28 03:10:31 main:574] : INFO : Epoch 2028 | loss: 0.0311556 | val_loss: 0.0311562 | Time: 1637.13 ms [2022-02-28 03:10:33 main:574] : INFO : Epoch 2029 | loss: 0.0311551 | val_loss: 0.0311605 | Time: 1643.02 ms [2022-02-28 03:10:35 main:574] : INFO : Epoch 2030 | loss: 0.0311556 | val_loss: 0.0311657 | Time: 1646.66 ms [2022-02-28 03:10:36 main:574] : INFO : Epoch 2031 | loss: 0.0311561 | val_loss: 0.0311581 | Time: 1635.02 ms [2022-02-28 03:10:38 main:574] : INFO : Epoch 2032 | loss: 0.0311585 | val_loss: 0.0311633 | Time: 1630.07 ms [2022-02-28 03:10:40 main:574] : INFO : Epoch 2033 | loss: 0.0311547 | val_loss: 0.0311547 | Time: 1627.36 ms [2022-02-28 03:10:41 main:574] : INFO : Epoch 2034 | loss: 0.0311516 | val_loss: 0.0311571 | Time: 1634.25 ms [2022-02-28 03:10:43 main:574] : INFO : Epoch 2035 | loss: 0.0311517 | val_loss: 0.0311547 | Time: 1647.93 ms [2022-02-28 03:10:45 main:574] : INFO : Epoch 2036 | loss: 0.0311523 | val_loss: 0.0311562 | Time: 1679.84 ms [2022-02-28 03:10:46 main:574] : INFO : Epoch 2037 | loss: 0.03115 | val_loss: 0.0311562 | Time: 1651.9 ms [2022-02-28 03:10:48 main:574] : INFO : Epoch 2038 | loss: 0.0311512 | val_loss: 0.0311609 | Time: 1636.54 ms [2022-02-28 03:10:50 main:574] : INFO : Epoch 2039 | loss: 0.0311514 | val_loss: 0.0311555 | Time: 1638.05 ms [2022-02-28 03:10:51 main:574] : INFO : Epoch 2040 | loss: 0.0311485 | val_loss: 0.0311619 | Time: 1638.88 ms [2022-02-28 03:10:53 main:574] : INFO : Epoch 2041 | loss: 0.0311559 | val_loss: 0.031155 | Time: 1633.77 ms [2022-02-28 03:10:55 main:574] : INFO : Epoch 2042 | loss: 0.0311536 | val_loss: 0.0311563 | Time: 1641.61 ms [2022-02-28 03:10:56 main:574] : INFO : Epoch 2043 | loss: 0.0311506 | val_loss: 0.0311557 | Time: 1634.86 ms [2022-02-28 03:10:58 main:574] : INFO : Epoch 2044 | loss: 0.0311508 | val_loss: 0.0311562 | Time: 1627.89 ms [2022-02-28 03:10:59 main:574] : INFO : Epoch 2045 | loss: 0.0311493 | val_loss: 0.031156 | Time: 1632.69 ms [2022-02-28 03:11:01 main:574] : INFO : Epoch 2046 | loss: 0.0311496 | val_loss: 0.0311629 | Time: 1642.66 ms [2022-02-28 03:11:03 main:574] : INFO : Epoch 2047 | loss: 0.0311495 | val_loss: 0.0311585 | Time: 1642.42 ms [2022-02-28 03:11:04 main:574] : INFO : Epoch 2048 | loss: 0.0311487 | val_loss: 0.0311598 | Time: 1640.9 ms [2022-02-28 03:11:04 main:597] : INFO : Saving trained model to model-final.pt, val_loss 0.0311598 [2022-02-28 03:11:04 main:603] : INFO : Saving end state to config to file [2022-02-28 03:11:04 main:608] : INFO : Success, exiting.. 03:11:04 (13944): 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)