Task 11485080
| Name | ParityModified-1639963856-11766-3-0_0 |
| Workunit | 8714520 |
| Created | 11 Feb 2022, 11:28:21 UTC |
| Sent | 24 Feb 2022, 22:03:58 UTC |
| Report deadline | 4 Mar 2022, 22:03:58 UTC |
| Received | 8 Mar 2022, 20:04:29 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 6180 |
| Run time | 3 hours 42 min 13 sec |
| CPU time | 3 hours 0 min 59 sec |
| Validate state | Valid |
| Credit | 4,160.00 |
| Device peak FLOPS | 884.73 GFLOPS |
| Application version | Machine Learning Dataset Generator (GPU) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 1.54 GB |
| Peak swap size | 3.44 GB |
| Peak disk usage | 1.54 GB |
Stderr output
<core_client_version>7.16.20</core_client_version> <![CDATA[ <stderr_txt> ms [2022-03-07 22:23:49 main:574] : INFO : Epoch 1667 | loss: 0.0311406 | val_loss: 0.0311668 | Time: 6095.04 ms [2022-03-07 22:23:56 main:574] : INFO : Epoch 1668 | loss: 0.0311334 | val_loss: 0.031161 | Time: 6184.68 ms [2022-03-07 22:24:02 main:574] : INFO : Epoch 1669 | loss: 0.0311316 | val_loss: 0.0311584 | Time: 6209.06 ms [2022-03-07 22:24:08 main:574] : INFO : Epoch 1670 | loss: 0.0311314 | val_loss: 0.0311602 | Time: 6233.8 ms [2022-03-07 22:24:14 main:574] : INFO : Epoch 1671 | loss: 0.0311305 | val_loss: 0.0311552 | Time: 6263.74 ms [2022-03-07 22:24:21 main:574] : INFO : Epoch 1672 | loss: 0.0311318 | val_loss: 0.0311594 | Time: 6257.21 ms [2022-03-07 22:24:27 main:574] : INFO : Epoch 1673 | loss: 0.0311325 | val_loss: 0.031167 | Time: 6255.48 ms [2022-03-07 22:24:33 main:574] : INFO : Epoch 1674 | loss: 0.0311318 | val_loss: 0.0311628 | Time: 6257.81 ms [2022-03-07 22:24:39 main:574] : INFO : Epoch 1675 | loss: 0.0311335 | val_loss: 0.031158 | Time: 6240.15 ms [2022-03-07 22:24:46 main:574] : INFO : Epoch 1676 | loss: 0.0311325 | val_loss: 0.0311586 | Time: 6255.05 ms [2022-03-07 22:24:52 main:574] : INFO : Epoch 1677 | loss: 0.0311336 | val_loss: 0.0311585 | Time: 6266.86 ms [2022-03-07 22:24:58 main:574] : INFO : Epoch 1678 | loss: 0.0311344 | val_loss: 0.0311597 | Time: 6254.58 ms [2022-03-07 22:25:04 main:574] : INFO : Epoch 1679 | loss: 0.0311342 | val_loss: 0.0311645 | Time: 6238.53 ms [2022-03-07 22:25:11 main:574] : INFO : Epoch 1680 | loss: 0.0311317 | val_loss: 0.0311659 | Time: 6262.88 ms [2022-03-07 22:25:17 main:574] : INFO : Epoch 1681 | loss: 0.0311346 | val_loss: 0.0311616 | Time: 6256.42 ms [2022-03-07 22:25:23 main:574] : INFO : Epoch 1682 | loss: 0.0311322 | val_loss: 0.0311602 | Time: 6252.79 ms [2022-03-07 22:25:29 main:574] : INFO : Epoch 1683 | loss: 0.031131 | val_loss: 0.0311615 | Time: 6255.69 ms [2022-03-07 22:25:36 main:574] : INFO : Epoch 1684 | loss: 0.0311318 | val_loss: 0.0311647 | Time: 6246.78 ms [2022-03-07 22:25:42 main:574] : INFO : Epoch 1685 | loss: 0.0311315 | val_loss: 0.0311626 | Time: 6228.44 ms [2022-03-07 22:25:48 main:574] : INFO : Epoch 1686 | loss: 0.0311327 | val_loss: 0.0311607 | Time: 6240.09 ms [2022-03-07 22:25:54 main:574] : INFO : Epoch 1687 | loss: 0.0311299 | val_loss: 0.0311608 | Time: 6262.28 ms [2022-03-07 22:26:01 main:574] : INFO : Epoch 1688 | loss: 0.0311303 | val_loss: 0.0311633 | Time: 6268.98 ms [2022-03-07 22:26:07 main:574] : INFO : Epoch 1689 | loss: 0.031131 | val_loss: 0.0311653 | Time: 6248.3 ms [2022-03-07 22:26:13 main:574] : INFO : Epoch 1690 | loss: 0.031133 | val_loss: 0.0311633 | Time: 6265.87 ms [2022-03-07 22:26:20 main:574] : INFO : Epoch 1691 | loss: 0.0311342 | val_loss: 0.031163 | Time: 6272.81 ms [2022-03-07 22:26:26 main:574] : INFO : Epoch 1692 | loss: 0.0311331 | val_loss: 0.0311636 | Time: 6233.21 ms [2022-03-07 22:26:32 main:574] : INFO : Epoch 1693 | loss: 0.0311338 | val_loss: 0.0311623 | Time: 6264.34 ms [2022-03-07 22:26:38 main:574] : INFO : Epoch 1694 | loss: 0.0311304 | val_loss: 0.0311615 | Time: 6225.34 ms [2022-03-07 22:26:45 main:574] : INFO : Epoch 1695 | loss: 0.0311312 | val_loss: 0.0311628 | Time: 6262.12 ms [2022-03-07 22:26:51 main:574] : INFO : Epoch 1696 | loss: 0.0311332 | val_loss: 0.031163 | Time: 6227.14 ms [2022-03-07 22:26:57 main:574] : INFO : Epoch 1697 | loss: 0.0311314 | val_loss: 0.0311638 | Time: 6223.11 ms [2022-03-07 22:27:03 main:574] : INFO : Epoch 1698 | loss: 0.0311315 | val_loss: 0.0311591 | Time: 6235.73 ms [2022-03-07 22:27:10 main:574] : INFO : Epoch 1699 | loss: 0.0311316 | val_loss: 0.0311597 | Time: 6270.42 ms [2022-03-07 22:27:16 main:574] : INFO : Epoch 1700 | loss: 0.0311306 | val_loss: 0.0311598 | Time: 6236.99 ms [2022-03-07 22:27:22 main:574] : INFO : Epoch 1701 | loss: 0.0311319 | val_loss: 0.0311601 | Time: 6242.06 ms [2022-03-07 22:27:28 main:574] : INFO : Epoch 1702 | loss: 0.0311326 | val_loss: 0.0311589 | Time: 6246.74 ms [2022-03-07 22:27:35 main:574] : INFO : Epoch 1703 | loss: 0.0311329 | val_loss: 0.0311592 | Time: 6261.13 ms [2022-03-07 22:27:41 main:574] : INFO : Epoch 1704 | loss: 0.0311332 | val_loss: 0.0311591 | Time: 6225.1 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce 940MX) [2022-03-07 22:28:46 main:435] : INFO : Set logging level to 1 [2022-03-07 22:28:46 main:441] : INFO : Running in BOINC Client mode [2022-03-07 22:28:46 main:444] : INFO : Resolving all filenames [2022-03-07 22:28:46 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-03-07 22:28:46 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-03-07 22:28:46 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-03-07 22:28:46 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1) [2022-03-07 22:28:46 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-03-07 22:28:46 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-03-07 22:28:47 main:474] : INFO : Configuration: [2022-03-07 22:28:47 main:475] : INFO : Model type: GRU [2022-03-07 22:28:47 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-03-07 22:28:47 main:477] : INFO : Max Epochs: 2048 [2022-03-07 22:28:47 main:478] : INFO : Batch Size: 128 [2022-03-07 22:28:47 main:479] : INFO : Learning Rate: 0.01 [2022-03-07 22:28:47 main:480] : INFO : Patience: 10 [2022-03-07 22:28:47 main:481] : INFO : Hidden Width: 12 [2022-03-07 22:28:47 main:482] : INFO : # Recurrent Layers: 4 [2022-03-07 22:28:47 main:483] : INFO : # Backend Layers: 4 [2022-03-07 22:28:47 main:484] : INFO : # Threads: 1 [2022-03-07 22:28:47 main:486] : INFO : Preparing Dataset [2022-03-07 22:28:47 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-03-07 22:28:47 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory [2022-03-07 22:28:50 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2022-03-07 22:28:50 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory [2022-03-07 22:28:50 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory [2022-03-07 22:28:50 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2022-03-07 22:28:50 main:494] : INFO : Creating Model [2022-03-07 22:28:50 main:507] : INFO : Preparing config file [2022-03-07 22:28:50 main:511] : INFO : Found checkpoint, attempting to load... [2022-03-07 22:28:50 main:512] : INFO : Loading config [2022-03-07 22:28:50 main:514] : INFO : Loading state [2022-03-07 22:28:51 main:559] : INFO : Loading DataLoader into Memory [2022-03-07 22:28:51 main:562] : INFO : Starting Training [2022-03-07 22:28:57 main:574] : INFO : Epoch 1698 | loss: 0.0311774 | val_loss: 0.0311704 | Time: 6248.89 ms [2022-03-07 22:29:03 main:574] : INFO : Epoch 1699 | loss: 0.0311374 | val_loss: 0.0311617 | Time: 6107.42 ms [2022-03-07 22:29:09 main:574] : INFO : Epoch 1700 | loss: 0.031132 | val_loss: 0.0311559 | Time: 6209.12 ms [2022-03-07 22:29:16 main:574] : INFO : Epoch 1701 | loss: 0.0311302 | val_loss: 0.0311603 | Time: 6197.1 ms [2022-03-07 22:29:22 main:574] : INFO : Epoch 1702 | loss: 0.0311312 | val_loss: 0.0311576 | Time: 6199.92 ms [2022-03-07 22:29:28 main:574] : INFO : Epoch 1703 | loss: 0.0311318 | val_loss: 0.031157 | Time: 6211.45 ms [2022-03-07 22:29:34 main:574] : INFO : Epoch 1704 | loss: 0.0311312 | val_loss: 0.0311562 | Time: 6266.83 ms [2022-03-07 22:29:40 main:574] : INFO : Epoch 1705 | loss: 0.0311346 | val_loss: 0.0311586 | Time: 6263.77 ms [2022-03-07 22:29:47 main:574] : INFO : Epoch 1706 | loss: 0.031132 | val_loss: 0.0311552 | Time: 6255.95 ms [2022-03-07 22:29:53 main:574] : INFO : Epoch 1707 | loss: 0.0311332 | val_loss: 0.0311574 | Time: 6253.17 ms [2022-03-07 22:29:59 main:574] : INFO : Epoch 1708 | loss: 0.0311331 | val_loss: 0.0311625 | Time: 6259.19 ms [2022-03-07 22:30:06 main:574] : INFO : Epoch 1709 | loss: 0.0311384 | val_loss: 0.0311567 | Time: 6246.43 ms [2022-03-07 22:30:12 main:574] : INFO : Epoch 1710 | loss: 0.0311407 | val_loss: 0.0311609 | Time: 6283.7 ms [2022-03-07 22:30:18 main:574] : INFO : Epoch 1711 | loss: 0.0311367 | val_loss: 0.0311545 | Time: 6263.66 ms [2022-03-07 22:30:24 main:574] : INFO : Epoch 1712 | loss: 0.0311331 | val_loss: 0.031165 | Time: 6354.71 ms [2022-03-07 22:30:31 main:574] : INFO : Epoch 1713 | loss: 0.0311344 | val_loss: 0.0311625 | Time: 6256.33 ms [2022-03-07 22:30:37 main:574] : INFO : Epoch 1714 | loss: 0.0311357 | val_loss: 0.0311578 | Time: 6255.13 ms [2022-03-07 22:30:43 main:574] : INFO : Epoch 1715 | loss: 0.0311379 | val_loss: 0.0311619 | Time: 6235.4 ms [2022-03-07 22:30:49 main:574] : INFO : Epoch 1716 | loss: 0.0311366 | val_loss: 0.0311576 | Time: 6270.86 ms [2022-03-07 22:30:56 main:574] : INFO : Epoch 1717 | loss: 0.0311359 | val_loss: 0.031159 | Time: 6247.43 ms [2022-03-07 22:31:02 main:574] : INFO : Epoch 1718 | loss: 0.0311351 | val_loss: 0.0311658 | Time: 6266.27 ms [2022-03-07 22:31:08 main:574] : INFO : Epoch 1719 | loss: 0.0311335 | val_loss: 0.0311577 | Time: 6274.7 ms [2022-03-07 22:31:15 main:574] : INFO : Epoch 1720 | loss: 0.0311314 | val_loss: 0.0311574 | Time: 6244.76 ms [2022-03-07 22:31:21 main:574] : INFO : Epoch 1721 | loss: 0.0311292 | val_loss: 0.0311556 | Time: 6239.68 ms [2022-03-07 22:31:27 main:574] : INFO : Epoch 1722 | loss: 0.0311297 | val_loss: 0.0311571 | Time: 6271.94 ms [2022-03-07 22:31:33 main:574] : INFO : Epoch 1723 | loss: 0.0311297 | val_loss: 0.0311567 | Time: 6225.66 ms [2022-03-07 22:31:40 main:574] : INFO : Epoch 1724 | loss: 0.0311288 | val_loss: 0.0311568 | Time: 6254.9 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce 940MX) [2022-03-07 22:32:47 main:435] : INFO : Set logging level to 1 [2022-03-07 22:32:47 main:441] : INFO : Running in BOINC Client mode [2022-03-07 22:32:47 main:444] : INFO : Resolving all filenames [2022-03-07 22:32:47 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-03-07 22:32:47 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-03-07 22:32:47 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-03-07 22:32:47 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1) [2022-03-07 22:32:47 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-03-07 22:32:47 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-03-07 22:32:47 main:474] : INFO : Configuration: [2022-03-07 22:32:47 main:475] : INFO : Model type: GRU [2022-03-07 22:32:47 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-03-07 22:32:47 main:477] : INFO : Max Epochs: 2048 [2022-03-07 22:32:47 main:478] : INFO : Batch Size: 128 [2022-03-07 22:32:47 main:479] : INFO : Learning Rate: 0.01 [2022-03-07 22:32:47 main:480] : INFO : Patience: 10 [2022-03-07 22:32:47 main:481] : INFO : Hidden Width: 12 [2022-03-07 22:32:47 main:482] : INFO : # Recurrent Layers: 4 [2022-03-07 22:32:47 main:483] : INFO : # Backend Layers: 4 [2022-03-07 22:32:47 main:484] : INFO : # Threads: 1 [2022-03-07 22:32:47 main:486] : INFO : Preparing Dataset [2022-03-07 22:32:47 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-03-07 22:32:47 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory [2022-03-07 22:32:50 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2022-03-07 22:32:50 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory [2022-03-07 22:32:50 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory [2022-03-07 22:32:50 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2022-03-07 22:32:50 main:494] : INFO : Creating Model [2022-03-07 22:32:50 main:507] : INFO : Preparing config file [2022-03-07 22:32:50 main:511] : INFO : Found checkpoint, attempting to load... [2022-03-07 22:32:50 main:512] : INFO : Loading config [2022-03-07 22:32:50 main:514] : INFO : Loading state [2022-03-07 22:32:51 main:559] : INFO : Loading DataLoader into Memory [2022-03-07 22:32:51 main:562] : INFO : Starting Training [2022-03-07 22:32:57 main:574] : INFO : Epoch 1719 | loss: 0.031167 | val_loss: 0.0311606 | Time: 6202.49 ms [2022-03-07 22:33:03 main:574] : INFO : Epoch 1720 | loss: 0.0311361 | val_loss: 0.0311585 | Time: 6060.94 ms [2022-03-07 22:33:09 main:574] : INFO : Epoch 1721 | loss: 0.0311301 | val_loss: 0.0311565 | Time: 6166.65 ms [2022-03-07 22:33:16 main:574] : INFO : Epoch 1722 | loss: 0.031131 | val_loss: 0.0311574 | Time: 6212.58 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce 940MX) [2022-03-08 20:23:55 main:435] : INFO : Set logging level to 1 [2022-03-08 20:23:55 main:441] : INFO : Running in BOINC Client mode [2022-03-08 20:23:55 main:444] : INFO : Resolving all filenames [2022-03-08 20:23:55 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-03-08 20:23:55 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-03-08 20:23:55 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-03-08 20:23:55 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1) [2022-03-08 20:23:55 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-03-08 20:23:55 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-03-08 20:23:55 main:474] : INFO : Configuration: [2022-03-08 20:23:55 main:475] : INFO : Model type: GRU [2022-03-08 20:23:55 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-03-08 20:23:55 main:477] : INFO : Max Epochs: 2048 [2022-03-08 20:23:55 main:478] : INFO : Batch Size: 128 [2022-03-08 20:23:55 main:479] : INFO : Learning Rate: 0.01 [2022-03-08 20:23:55 main:480] : INFO : Patience: 10 [2022-03-08 20:23:55 main:481] : INFO : Hidden Width: 12 [2022-03-08 20:23:55 main:482] : INFO : # Recurrent Layers: 4 [2022-03-08 20:23:55 main:483] : INFO : # Backend Layers: 4 [2022-03-08 20:23:55 main:484] : INFO : # Threads: 1 [2022-03-08 20:23:55 main:486] : INFO : Preparing Dataset [2022-03-08 20:23:55 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-03-08 20:23:56 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory [2022-03-08 20:24:13 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2022-03-08 20:24:13 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory [2022-03-08 20:24:13 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory [2022-03-08 20:24:13 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2022-03-08 20:24:13 main:494] : INFO : Creating Model [2022-03-08 20:24:13 main:507] : INFO : Preparing config file [2022-03-08 20:24:13 main:511] : INFO : Found checkpoint, attempting to load... [2022-03-08 20:24:13 main:512] : INFO : Loading config [2022-03-08 20:24:13 main:514] : INFO : Loading state [2022-03-08 20:24:15 main:559] : INFO : Loading DataLoader into Memory [2022-03-08 20:24:15 main:562] : INFO : Starting Training [2022-03-08 20:25:37 main:574] : INFO : Epoch 1719 | loss: 0.0311692 | val_loss: 0.0311617 | Time: 81714.6 ms [2022-03-08 20:25:47 main:574] : INFO : Epoch 1720 | loss: 0.0311382 | val_loss: 0.0311591 | Time: 6263.06 ms [2022-03-08 20:25:53 main:574] : INFO : Epoch 1721 | loss: 0.0311333 | val_loss: 0.0311544 | Time: 6596.08 ms [2022-03-08 20:26:00 main:574] : INFO : Epoch 1722 | loss: 0.0311315 | val_loss: 0.0311549 | Time: 6360.46 ms [2022-03-08 20:26:06 main:574] : INFO : Epoch 1723 | loss: 0.0311316 | val_loss: 0.0311606 | Time: 6389.56 ms [2022-03-08 20:26:13 main:574] : INFO : Epoch 1724 | loss: 0.0311315 | val_loss: 0.0311614 | Time: 6381.65 ms [2022-03-08 20:26:20 main:574] : INFO : Epoch 1725 | loss: 0.0311304 | val_loss: 0.0311543 | Time: 7142.23 ms [2022-03-08 20:26:27 main:574] : INFO : Epoch 1726 | loss: 0.0311298 | val_loss: 0.0311589 | Time: 7724.87 ms [2022-03-08 20:26:34 main:574] : INFO : Epoch 1727 | loss: 0.0311306 | val_loss: 0.0311622 | Time: 6517.66 ms [2022-03-08 20:26:40 main:574] : INFO : Epoch 1728 | loss: 0.031132 | val_loss: 0.0311617 | Time: 6299.83 ms [2022-03-08 20:26:47 main:574] : INFO : Epoch 1729 | loss: 0.0311307 | val_loss: 0.0311603 | Time: 6315.98 ms [2022-03-08 20:26:53 main:574] : INFO : Epoch 1730 | loss: 0.0311309 | val_loss: 0.031159 | Time: 6308.4 ms [2022-03-08 20:26:59 main:574] : INFO : Epoch 1731 | loss: 0.0311299 | val_loss: 0.0311546 | Time: 6383.99 ms [2022-03-08 20:27:06 main:574] : INFO : Epoch 1732 | loss: 0.0311339 | val_loss: 0.0311557 | Time: 6370.53 ms [2022-03-08 20:27:12 main:574] : INFO : Epoch 1733 | loss: 0.0311333 | val_loss: 0.0311615 | Time: 6340.96 ms [2022-03-08 20:27:18 main:574] : INFO : Epoch 1734 | loss: 0.0311336 | val_loss: 0.0311582 | Time: 6317.78 ms [2022-03-08 20:27:25 main:574] : INFO : Epoch 1735 | loss: 0.0311327 | val_loss: 0.0311629 | Time: 6265.38 ms [2022-03-08 20:27:31 main:574] : INFO : Epoch 1736 | loss: 0.0311322 | val_loss: 0.0311574 | Time: 6243.7 ms [2022-03-08 20:27:37 main:574] : INFO : Epoch 1737 | loss: 0.0311304 | val_loss: 0.0311546 | Time: 6273.83 ms [2022-03-08 20:27:43 main:574] : INFO : Epoch 1738 | loss: 0.0311315 | val_loss: 0.0311553 | Time: 6252.6 ms [2022-03-08 20:27:50 main:574] : INFO : Epoch 1739 | loss: 0.0311284 | val_loss: 0.0311534 | Time: 6261.42 ms [2022-03-08 20:27:56 main:574] : INFO : Epoch 1740 | loss: 0.0311292 | val_loss: 0.0311562 | Time: 6273.84 ms [2022-03-08 20:28:02 main:574] : INFO : Epoch 1741 | loss: 0.0311276 | val_loss: 0.0311605 | Time: 6257.8 ms [2022-03-08 20:28:08 main:574] : INFO : Epoch 1742 | loss: 0.031127 | val_loss: 0.0311572 | Time: 6286.07 ms [2022-03-08 20:28:15 main:574] : INFO : Epoch 1743 | loss: 0.0311278 | val_loss: 0.0311615 | Time: 6280.32 ms [2022-03-08 20:28:21 main:574] : INFO : Epoch 1744 | loss: 0.031129 | val_loss: 0.03116 | Time: 6268.84 ms [2022-03-08 20:28:27 main:574] : INFO : Epoch 1745 | loss: 0.0311275 | val_loss: 0.0311616 | Time: 6276.23 ms [2022-03-08 20:28:34 main:574] : INFO : Epoch 1746 | loss: 0.0311274 | val_loss: 0.0311572 | Time: 6248.79 ms [2022-03-08 20:28:40 main:574] : INFO : Epoch 1747 | loss: 0.0311275 | val_loss: 0.0311578 | Time: 6252.8 ms [2022-03-08 20:28:46 main:574] : INFO : Epoch 1748 | loss: 0.0311301 | val_loss: 0.0311688 | Time: 6248.63 ms [2022-03-08 20:28:52 main:574] : INFO : Epoch 1749 | loss: 0.0311301 | val_loss: 0.0311608 | Time: 6286.45 ms [2022-03-08 20:28:59 main:574] : INFO : Epoch 1750 | loss: 0.0311295 | val_loss: 0.0311664 | Time: 6288.73 ms [2022-03-08 20:29:05 main:574] : INFO : Epoch 1751 | loss: 0.0311308 | val_loss: 0.0311549 | Time: 6274.45 ms [2022-03-08 20:29:11 main:574] : INFO : Epoch 1752 | loss: 0.03113 | val_loss: 0.0311591 | Time: 6290.84 ms [2022-03-08 20:29:18 main:574] : INFO : Epoch 1753 | loss: 0.0311296 | val_loss: 0.0311583 | Time: 6313.72 ms [2022-03-08 20:29:24 main:574] : INFO : Epoch 1754 | loss: 0.0311274 | val_loss: 0.0311611 | Time: 6273.91 ms [2022-03-08 20:29:30 main:574] : INFO : Epoch 1755 | loss: 0.0311278 | val_loss: 0.0311572 | Time: 6270.52 ms [2022-03-08 20:29:36 main:574] : INFO : Epoch 1756 | loss: 0.0311307 | val_loss: 0.031158 | Time: 6260.38 ms [2022-03-08 20:29:43 main:574] : INFO : Epoch 1757 | loss: 0.031138 | val_loss: 0.0311594 | Time: 6256.95 ms [2022-03-08 20:29:49 main:574] : INFO : Epoch 1758 | loss: 0.0311381 | val_loss: 0.0311615 | Time: 6276.18 ms [2022-03-08 20:29:55 main:574] : INFO : Epoch 1759 | loss: 0.031138 | val_loss: 0.0311588 | Time: 6269.71 ms [2022-03-08 20:30:01 main:574] : INFO : Epoch 1760 | loss: 0.0311368 | val_loss: 0.0311558 | Time: 6277.15 ms [2022-03-08 20:30:08 main:574] : INFO : Epoch 1761 | loss: 0.0311363 | val_loss: 0.031161 | Time: 6337.01 ms [2022-03-08 20:30:14 main:574] : INFO : Epoch 1762 | loss: 0.0311355 | val_loss: 0.0311535 | Time: 6247.65 ms [2022-03-08 20:30:20 main:574] : INFO : Epoch 1763 | loss: 0.0311327 | val_loss: 0.0311526 | Time: 6274.79 ms [2022-03-08 20:30:27 main:574] : INFO : Epoch 1764 | loss: 0.0311314 | val_loss: 0.0311529 | Time: 6263.48 ms [2022-03-08 20:30:33 main:574] : INFO : Epoch 1765 | loss: 0.0311304 | val_loss: 0.0311527 | Time: 6278.11 ms [2022-03-08 20:30:39 main:574] : INFO : Epoch 1766 | loss: 0.0311315 | val_loss: 0.0311584 | Time: 6251.69 ms [2022-03-08 20:30:45 main:574] : INFO : Epoch 1767 | loss: 0.0311357 | val_loss: 0.0311578 | Time: 6275.89 ms [2022-03-08 20:30:52 main:574] : INFO : Epoch 1768 | loss: 0.0311343 | val_loss: 0.0311579 | Time: 6272.02 ms [2022-03-08 20:30:58 main:574] : INFO : Epoch 1769 | loss: 0.0311364 | val_loss: 0.0311628 | Time: 6305.98 ms [2022-03-08 20:31:04 main:574] : INFO : Epoch 1770 | loss: 0.0311379 | val_loss: 0.0311611 | Time: 6278 ms [2022-03-08 20:31:11 main:574] : INFO : Epoch 1771 | loss: 0.0311381 | val_loss: 0.0311607 | Time: 6261.37 ms [2022-03-08 20:31:17 main:574] : INFO : Epoch 1772 | loss: 0.0311362 | val_loss: 0.0311611 | Time: 6280.61 ms [2022-03-08 20:31:23 main:574] : INFO : Epoch 1773 | loss: 0.0311353 | val_loss: 0.0311661 | Time: 6256.28 ms [2022-03-08 20:31:29 main:574] : INFO : Epoch 1774 | loss: 0.0311365 | val_loss: 0.0311642 | Time: 6259.04 ms [2022-03-08 20:31:36 main:574] : INFO : Epoch 1775 | loss: 0.0311339 | val_loss: 0.0311645 | Time: 6257.82 ms [2022-03-08 20:31:42 main:574] : INFO : Epoch 1776 | loss: 0.0311341 | val_loss: 0.0311639 | Time: 6291.39 ms [2022-03-08 20:31:48 main:574] : INFO : Epoch 1777 | loss: 0.0311323 | val_loss: 0.0311646 | Time: 6312.03 ms [2022-03-08 20:31:55 main:574] : INFO : Epoch 1778 | loss: 0.031133 | val_loss: 0.0311622 | Time: 6283.6 ms [2022-03-08 20:32:01 main:574] : INFO : Epoch 1779 | loss: 0.031133 | val_loss: 0.031163 | Time: 6256.28 ms [2022-03-08 20:32:07 main:574] : INFO : Epoch 1780 | loss: 0.0311315 | val_loss: 0.0311652 | Time: 6314.17 ms [2022-03-08 20:32:13 main:574] : INFO : Epoch 1781 | loss: 0.0311314 | val_loss: 0.0311625 | Time: 6317.99 ms [2022-03-08 20:32:20 main:574] : INFO : Epoch 1782 | loss: 0.0311344 | val_loss: 0.0311724 | Time: 6274.03 ms [2022-03-08 20:33:12 main:574] : INFO : Epoch 1783 | loss: 0.0311335 | val_loss: 0.0311689 | Time: 50311.3 ms [2022-03-08 20:33:18 main:574] : INFO : Epoch 1784 | loss: 0.0311305 | val_loss: 0.0311605 | Time: 6296.83 ms [2022-03-08 20:33:24 main:574] : INFO : Epoch 1785 | loss: 0.0311304 | val_loss: 0.0311617 | Time: 6343.42 ms [2022-03-08 20:33:31 main:574] : INFO : Epoch 1786 | loss: 0.0311309 | val_loss: 0.0311598 | Time: 6335.84 ms [2022-03-08 20:33:37 main:574] : INFO : Epoch 1787 | loss: 0.0311304 | val_loss: 0.0311586 | Time: 6734.12 ms [2022-03-08 20:33:44 main:574] : INFO : Epoch 1788 | loss: 0.0311323 | val_loss: 0.0311614 | Time: 6385.09 ms [2022-03-08 20:33:50 main:574] : INFO : Epoch 1789 | loss: 0.0311312 | val_loss: 0.0311594 | Time: 6297.42 ms [2022-03-08 20:33:56 main:574] : INFO : Epoch 1790 | loss: 0.0311304 | val_loss: 0.0311655 | Time: 6293.59 ms [2022-03-08 20:34:03 main:574] : INFO : Epoch 1791 | loss: 0.0311317 | val_loss: 0.0311638 | Time: 6350.08 ms [2022-03-08 20:34:09 main:574] : INFO : Epoch 1792 | loss: 0.0311367 | val_loss: 0.0311596 | Time: 6315.4 ms [2022-03-08 20:34:15 main:574] : INFO : Epoch 1793 | loss: 0.0311376 | val_loss: 0.0311637 | Time: 6284.22 ms [2022-03-08 20:34:22 main:574] : INFO : Epoch 1794 | loss: 0.0311363 | val_loss: 0.0311569 | Time: 6376.13 ms [2022-03-08 20:34:28 main:574] : INFO : Epoch 1795 | loss: 0.0311327 | val_loss: 0.031162 | Time: 6333.03 ms [2022-03-08 20:34:34 main:574] : INFO : Epoch 1796 | loss: 0.0311311 | val_loss: 0.0311608 | Time: 6295.3 ms [2022-03-08 20:34:41 main:574] : INFO : Epoch 1797 | loss: 0.0311298 | val_loss: 0.0311569 | Time: 6322.97 ms [2022-03-08 20:34:47 main:574] : INFO : Epoch 1798 | loss: 0.0311297 | val_loss: 0.0311608 | Time: 6317.78 ms [2022-03-08 20:34:53 main:574] : INFO : Epoch 1799 | loss: 0.0311303 | val_loss: 0.0311596 | Time: 6322.64 ms [2022-03-08 20:35:00 main:574] : INFO : Epoch 1800 | loss: 0.0311287 | val_loss: 0.0311535 | Time: 6342.3 ms [2022-03-08 20:35:06 main:574] : INFO : Epoch 1801 | loss: 0.031127 | val_loss: 0.0311574 | Time: 6305.01 ms [2022-03-08 20:35:12 main:574] : INFO : Epoch 1802 | loss: 0.0311273 | val_loss: 0.0311592 | Time: 6365.85 ms [2022-03-08 20:35:19 main:574] : INFO : Epoch 1803 | loss: 0.0311277 | val_loss: 0.0311566 | Time: 6393.24 ms [2022-03-08 20:35:25 main:574] : INFO : Epoch 1804 | loss: 0.0311263 | val_loss: 0.0311598 | Time: 6295.34 ms [2022-03-08 20:35:31 main:574] : INFO : Epoch 1805 | loss: 0.0311269 | val_loss: 0.0311638 | Time: 6252.12 ms [2022-03-08 20:35:38 main:574] : INFO : Epoch 1806 | loss: 0.0311261 | val_loss: 0.0311594 | Time: 6296.31 ms [2022-03-08 20:35:44 main:574] : INFO : Epoch 1807 | loss: 0.031125 | val_loss: 0.0311585 | Time: 6323.5 ms [2022-03-08 20:35:50 main:574] : INFO : Epoch 1808 | loss: 0.0311251 | val_loss: 0.0311612 | Time: 6318.77 ms [2022-03-08 20:35:57 main:574] : INFO : Epoch 1809 | loss: 0.0311266 | val_loss: 0.0311591 | Time: 6368.51 ms [2022-03-08 20:36:03 main:574] : INFO : Epoch 1810 | loss: 0.0311256 | val_loss: 0.0311579 | Time: 6367.47 ms [2022-03-08 20:36:09 main:574] : INFO : Epoch 1811 | loss: 0.0311267 | val_loss: 0.031157 | Time: 6301.47 ms [2022-03-08 20:36:16 main:574] : INFO : Epoch 1812 | loss: 0.0311269 | val_loss: 0.0311565 | Time: 6337.72 ms [2022-03-08 20:36:22 main:574] : INFO : Epoch 1813 | loss: 0.0311313 | val_loss: 0.0311593 | Time: 6304.2 ms [2022-03-08 20:36:28 main:574] : INFO : Epoch 1814 | loss: 0.0311305 | val_loss: 0.0311597 | Time: 6290.95 ms [2022-03-08 20:36:35 main:574] : INFO : Epoch 1815 | loss: 0.0311323 | val_loss: 0.0311591 | Time: 6358.9 ms [2022-03-08 20:36:41 main:574] : INFO : Epoch 1816 | loss: 0.031131 | val_loss: 0.031163 | Time: 6365.27 ms [2022-03-08 20:36:47 main:574] : INFO : Epoch 1817 | loss: 0.0311308 | val_loss: 0.0311656 | Time: 6398.38 ms [2022-03-08 20:36:54 main:574] : INFO : Epoch 1818 | loss: 0.0311301 | val_loss: 0.0311698 | Time: 6336.22 ms [2022-03-08 20:37:00 main:574] : INFO : Epoch 1819 | loss: 0.0311313 | val_loss: 0.0311639 | Time: 6269.24 ms [2022-03-08 20:37:06 main:574] : INFO : Epoch 1820 | loss: 0.0311305 | val_loss: 0.031162 | Time: 6316.75 ms [2022-03-08 20:37:13 main:574] : INFO : Epoch 1821 | loss: 0.031132 | val_loss: 0.0311625 | Time: 6324.78 ms [2022-03-08 20:37:19 main:574] : INFO : Epoch 1822 | loss: 0.0311315 | val_loss: 0.0311652 | Time: 6349.87 ms [2022-03-08 20:37:25 main:574] : INFO : Epoch 1823 | loss: 0.0311306 | val_loss: 0.0311627 | Time: 6378.96 ms [2022-03-08 20:37:32 main:574] : INFO : Epoch 1824 | loss: 0.0311298 | val_loss: 0.0311671 | Time: 6402.78 ms [2022-03-08 20:37:38 main:574] : INFO : Epoch 1825 | loss: 0.0311299 | val_loss: 0.0311617 | Time: 6334.97 ms [2022-03-08 20:37:44 main:574] : INFO : Epoch 1826 | loss: 0.03113 | val_loss: 0.0311635 | Time: 6324.62 ms [2022-03-08 20:37:51 main:574] : INFO : Epoch 1827 | loss: 0.0311305 | val_loss: 0.0311615 | Time: 6322.66 ms [2022-03-08 20:37:57 main:574] : INFO : Epoch 1828 | loss: 0.0311305 | val_loss: 0.0311653 | Time: 6448.21 ms [2022-03-08 20:38:04 main:574] : INFO : Epoch 1829 | loss: 0.0311289 | val_loss: 0.0311607 | Time: 6334.5 ms [2022-03-08 20:38:10 main:574] : INFO : Epoch 1830 | loss: 0.0311326 | val_loss: 0.0311586 | Time: 6350.15 ms [2022-03-08 20:38:16 main:574] : INFO : Epoch 1831 | loss: 0.0311309 | val_loss: 0.0311599 | Time: 6373.16 ms [2022-03-08 20:38:23 main:574] : INFO : Epoch 1832 | loss: 0.0311287 | val_loss: 0.0311586 | Time: 6358 ms [2022-03-08 20:38:29 main:574] : INFO : Epoch 1833 | loss: 0.0311294 | val_loss: 0.0311583 | Time: 6258.01 ms [2022-03-08 20:38:35 main:574] : INFO : Epoch 1834 | loss: 0.0311307 | val_loss: 0.0311618 | Time: 6317.63 ms [2022-03-08 20:38:42 main:574] : INFO : Epoch 1835 | loss: 0.031129 | val_loss: 0.0311672 | Time: 6292.63 ms [2022-03-08 20:38:48 main:574] : INFO : Epoch 1836 | loss: 0.0311266 | val_loss: 0.0311606 | Time: 6309.98 ms [2022-03-08 20:38:54 main:574] : INFO : Epoch 1837 | loss: 0.0311273 | val_loss: 0.0311601 | Time: 6394.83 ms [2022-03-08 20:39:01 main:574] : INFO : Epoch 1838 | loss: 0.0311255 | val_loss: 0.0311584 | Time: 6320.11 ms [2022-03-08 20:39:07 main:574] : INFO : Epoch 1839 | loss: 0.031126 | val_loss: 0.0311653 | Time: 6322.07 ms [2022-03-08 20:39:13 main:574] : INFO : Epoch 1840 | loss: 0.0311265 | val_loss: 0.0311631 | Time: 6379.74 ms [2022-03-08 20:39:20 main:574] : INFO : Epoch 1841 | loss: 0.0311244 | val_loss: 0.0311629 | Time: 6309.4 ms [2022-03-08 20:39:26 main:574] : INFO : Epoch 1842 | loss: 0.0311245 | val_loss: 0.0311653 | Time: 6373.91 ms [2022-03-08 20:39:32 main:574] : INFO : Epoch 1843 | loss: 0.0311259 | val_loss: 0.0311632 | Time: 6292.49 ms [2022-03-08 20:39:39 main:574] : INFO : Epoch 1844 | loss: 0.0311246 | val_loss: 0.0311626 | Time: 6346.32 ms [2022-03-08 20:39:45 main:574] : INFO : Epoch 1845 | loss: 0.0311252 | val_loss: 0.0311637 | Time: 6296.16 ms [2022-03-08 20:39:51 main:574] : INFO : Epoch 1846 | loss: 0.0311239 | val_loss: 0.0311645 | Time: 6416.84 ms [2022-03-08 20:39:58 main:574] : INFO : Epoch 1847 | loss: 0.0311261 | val_loss: 0.0311612 | Time: 6322.2 ms [2022-03-08 20:40:04 main:574] : INFO : Epoch 1848 | loss: 0.0311262 | val_loss: 0.0311635 | Time: 6354.71 ms [2022-03-08 20:40:10 main:574] : INFO : Epoch 1849 | loss: 0.0311263 | val_loss: 0.031158 | Time: 6278.54 ms [2022-03-08 20:40:17 main:574] : INFO : Epoch 1850 | loss: 0.0311258 | val_loss: 0.0311614 | Time: 6334.7 ms [2022-03-08 20:40:23 main:574] : INFO : Epoch 1851 | loss: 0.0311252 | val_loss: 0.0311605 | Time: 6326.35 ms [2022-03-08 20:40:29 main:574] : INFO : Epoch 1852 | loss: 0.0311239 | val_loss: 0.0311613 | Time: 6335.72 ms [2022-03-08 20:40:36 main:574] : INFO : Epoch 1853 | loss: 0.0311243 | val_loss: 0.031159 | Time: 6304.29 ms [2022-03-08 20:40:42 main:574] : INFO : Epoch 1854 | loss: 0.0311234 | val_loss: 0.0311589 | Time: 6351.83 ms [2022-03-08 20:40:48 main:574] : INFO : Epoch 1855 | loss: 0.031124 | val_loss: 0.0311638 | Time: 6343.38 ms [2022-03-08 20:40:55 main:574] : INFO : Epoch 1856 | loss: 0.0311252 | val_loss: 0.031165 | Time: 6345.73 ms [2022-03-08 20:41:01 main:574] : INFO : Epoch 1857 | loss: 0.0311253 | val_loss: 0.0311643 | Time: 6324.09 ms [2022-03-08 20:41:07 main:574] : INFO : Epoch 1858 | loss: 0.0311296 | val_loss: 0.0311639 | Time: 6378.94 ms [2022-03-08 20:41:14 main:574] : INFO : Epoch 1859 | loss: 0.0311278 | val_loss: 0.0311616 | Time: 6368.36 ms [2022-03-08 20:41:20 main:574] : INFO : Epoch 1860 | loss: 0.03113 | val_loss: 0.031165 | Time: 6412.3 ms [2022-03-08 20:41:27 main:574] : INFO : Epoch 1861 | loss: 0.0311298 | val_loss: 0.0311588 | Time: 6376.45 ms [2022-03-08 20:41:33 main:574] : INFO : Epoch 1862 | loss: 0.0311261 | val_loss: 0.0311625 | Time: 6286.25 ms [2022-03-08 20:41:39 main:574] : INFO : Epoch 1863 | loss: 0.0311232 | val_loss: 0.0311597 | Time: 6341.88 ms [2022-03-08 20:41:46 main:574] : INFO : Epoch 1864 | loss: 0.0311228 | val_loss: 0.0311603 | Time: 6345.54 ms [2022-03-08 20:41:52 main:574] : INFO : Epoch 1865 | loss: 0.0311242 | val_loss: 0.0311656 | Time: 6794.03 ms [2022-03-08 20:42:30 main:574] : INFO : Epoch 1866 | loss: 0.0311319 | val_loss: 0.0311591 | Time: 37452.8 ms [2022-03-08 20:42:36 main:574] : INFO : Epoch 1867 | loss: 0.031134 | val_loss: 0.0311629 | Time: 6379.71 ms [2022-03-08 20:42:43 main:574] : INFO : Epoch 1868 | loss: 0.0311314 | val_loss: 0.0311662 | Time: 6356.37 ms [2022-03-08 20:42:49 main:574] : INFO : Epoch 1869 | loss: 0.0311342 | val_loss: 0.0311672 | Time: 6340.92 ms [2022-03-08 20:42:55 main:574] : INFO : Epoch 1870 | loss: 0.0311404 | val_loss: 0.0311674 | Time: 6366.8 ms [2022-03-08 20:43:02 main:574] : INFO : Epoch 1871 | loss: 0.0311513 | val_loss: 0.0311851 | Time: 6340.17 ms [2022-03-08 20:43:08 main:574] : INFO : Epoch 1872 | loss: 0.0327821 | val_loss: 0.0426087 | Time: 6302.47 ms [2022-03-08 20:43:14 main:574] : INFO : Epoch 1873 | loss: 0.0342829 | val_loss: 0.0343687 | Time: 6369.11 ms [2022-03-08 20:43:21 main:574] : INFO : Epoch 1874 | loss: 0.0323826 | val_loss: 0.0314739 | Time: 6409.12 ms [2022-03-08 20:43:27 main:574] : INFO : Epoch 1875 | loss: 0.0313731 | val_loss: 0.0313184 | Time: 6344.75 ms [2022-03-08 20:43:34 main:574] : INFO : Epoch 1876 | loss: 0.0312746 | val_loss: 0.0312609 | Time: 6407.43 ms [2022-03-08 20:43:40 main:574] : INFO : Epoch 1877 | loss: 0.0312549 | val_loss: 0.0312504 | Time: 6339.43 ms [2022-03-08 20:43:46 main:574] : INFO : Epoch 1878 | loss: 0.0312498 | val_loss: 0.0312486 | Time: 6309.61 ms [2022-03-08 20:43:53 main:574] : INFO : Epoch 1879 | loss: 0.0312487 | val_loss: 0.0312478 | Time: 6379.23 ms [2022-03-08 20:43:59 main:574] : INFO : Epoch 1880 | loss: 0.0312477 | val_loss: 0.0312469 | Time: 6295.67 ms [2022-03-08 20:44:05 main:574] : INFO : Epoch 1881 | loss: 0.0312471 | val_loss: 0.0312464 | Time: 6340.49 ms [2022-03-08 20:44:12 main:574] : INFO : Epoch 1882 | loss: 0.0312459 | val_loss: 0.0312452 | Time: 6310.83 ms [2022-03-08 20:44:18 main:574] : INFO : Epoch 1883 | loss: 0.0312443 | val_loss: 0.0312424 | Time: 6340.38 ms [2022-03-08 20:44:24 main:574] : INFO : Epoch 1884 | loss: 0.0312424 | val_loss: 0.0312418 | Time: 6348.41 ms [2022-03-08 20:44:31 main:574] : INFO : Epoch 1885 | loss: 0.031241 | val_loss: 0.0312388 | Time: 6305.17 ms [2022-03-08 20:44:37 main:574] : INFO : Epoch 1886 | loss: 0.0312392 | val_loss: 0.0312376 | Time: 6371.13 ms [2022-03-08 20:44:43 main:574] : INFO : Epoch 1887 | loss: 0.0312376 | val_loss: 0.0312359 | Time: 6310.41 ms [2022-03-08 20:44:50 main:574] : INFO : Epoch 1888 | loss: 0.031236 | val_loss: 0.0312323 | Time: 6324.41 ms [2022-03-08 20:44:56 main:574] : INFO : Epoch 1889 | loss: 0.0312313 | val_loss: 0.031228 | Time: 6410.58 ms [2022-03-08 20:45:02 main:574] : INFO : Epoch 1890 | loss: 0.0312282 | val_loss: 0.0312241 | Time: 6332.57 ms [2022-03-08 20:45:09 main:574] : INFO : Epoch 1891 | loss: 0.031224 | val_loss: 0.0312196 | Time: 6298.36 ms [2022-03-08 20:45:15 main:574] : INFO : Epoch 1892 | loss: 0.0312199 | val_loss: 0.0312152 | Time: 6276.95 ms [2022-03-08 20:45:21 main:574] : INFO : Epoch 1893 | loss: 0.031216 | val_loss: 0.0312104 | Time: 6285.75 ms [2022-03-08 20:45:28 main:574] : INFO : Epoch 1894 | loss: 0.0312105 | val_loss: 0.0312055 | Time: 6425.85 ms [2022-03-08 20:45:34 main:574] : INFO : Epoch 1895 | loss: 0.0312058 | val_loss: 0.0312001 | Time: 6298.14 ms [2022-03-08 20:45:40 main:574] : INFO : Epoch 1896 | loss: 0.0312007 | val_loss: 0.0311916 | Time: 6314.02 ms [2022-03-08 20:45:47 main:574] : INFO : Epoch 1897 | loss: 0.0311953 | val_loss: 0.0311895 | Time: 6326.77 ms [2022-03-08 20:45:53 main:574] : INFO : Epoch 1898 | loss: 0.0311905 | val_loss: 0.0311818 | Time: 6356.77 ms [2022-03-08 20:45:59 main:574] : INFO : Epoch 1899 | loss: 0.0311866 | val_loss: 0.0311796 | Time: 6274.09 ms [2022-03-08 20:46:06 main:574] : INFO : Epoch 1900 | loss: 0.0311855 | val_loss: 0.0311843 | Time: 6320.66 ms [2022-03-08 20:46:12 main:574] : INFO : Epoch 1901 | loss: 0.0311905 | val_loss: 0.031175 | Time: 6294.18 ms [2022-03-08 20:46:18 main:574] : INFO : Epoch 1902 | loss: 0.0311863 | val_loss: 0.0311758 | Time: 6348.95 ms [2022-03-08 20:46:25 main:574] : INFO : Epoch 1903 | loss: 0.0311874 | val_loss: 0.031181 | Time: 6365.79 ms [2022-03-08 20:46:31 main:574] : INFO : Epoch 1904 | loss: 0.0311864 | val_loss: 0.0311787 | Time: 6406.92 ms [2022-03-08 20:46:37 main:574] : INFO : Epoch 1905 | loss: 0.0311814 | val_loss: 0.031177 | Time: 6347.73 ms [2022-03-08 20:46:44 main:574] : INFO : Epoch 1906 | loss: 0.0311825 | val_loss: 0.0311807 | Time: 6320.14 ms [2022-03-08 20:46:50 main:574] : INFO : Epoch 1907 | loss: 0.0311842 | val_loss: 0.0311817 | Time: 6324.53 ms [2022-03-08 20:46:56 main:574] : INFO : Epoch 1908 | loss: 0.0311905 | val_loss: 0.0311879 | Time: 6326.01 ms [2022-03-08 20:47:03 main:574] : INFO : Epoch 1909 | loss: 0.0311856 | val_loss: 0.0311748 | Time: 6427.27 ms [2022-03-08 20:47:09 main:574] : INFO : Epoch 1910 | loss: 0.0311807 | val_loss: 0.0311762 | Time: 6358.77 ms [2022-03-08 20:47:16 main:574] : INFO : Epoch 1911 | loss: 0.0311797 | val_loss: 0.0311739 | Time: 6417.53 ms [2022-03-08 20:47:22 main:574] : INFO : Epoch 1912 | loss: 0.0311785 | val_loss: 0.0311735 | Time: 6364.81 ms [2022-03-08 20:47:28 main:574] : INFO : Epoch 1913 | loss: 0.0311798 | val_loss: 0.0311759 | Time: 6383.25 ms [2022-03-08 20:47:35 main:574] : INFO : Epoch 1914 | loss: 0.0311808 | val_loss: 0.0311751 | Time: 6279.72 ms [2022-03-08 20:47:41 main:574] : INFO : Epoch 1915 | loss: 0.0311786 | val_loss: 0.0311755 | Time: 6310.36 ms [2022-03-08 20:47:47 main:574] : INFO : Epoch 1916 | loss: 0.0311775 | val_loss: 0.031175 | Time: 6319.3 ms [2022-03-08 20:47:53 main:574] : INFO : Epoch 1917 | loss: 0.0311792 | val_loss: 0.0311886 | Time: 6298.01 ms [2022-03-08 20:48:00 main:574] : INFO : Epoch 1918 | loss: 0.0311839 | val_loss: 0.0311832 | Time: 6369.88 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce 940MX) [2022-03-08 20:49:02 main:435] : INFO : Set logging level to 1 [2022-03-08 20:49:02 main:441] : INFO : Running in BOINC Client mode [2022-03-08 20:49:02 main:444] : INFO : Resolving all filenames [2022-03-08 20:49:02 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-03-08 20:49:02 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-03-08 20:49:02 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-03-08 20:49:02 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1) [2022-03-08 20:49:02 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-03-08 20:49:02 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-03-08 20:49:02 main:474] : INFO : Configuration: [2022-03-08 20:49:02 main:475] : INFO : Model type: GRU [2022-03-08 20:49:02 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-03-08 20:49:02 main:477] : INFO : Max Epochs: 2048 [2022-03-08 20:49:02 main:478] : INFO : Batch Size: 128 [2022-03-08 20:49:02 main:479] : INFO : Learning Rate: 0.01 [2022-03-08 20:49:02 main:480] : INFO : Patience: 10 [2022-03-08 20:49:02 main:481] : INFO : Hidden Width: 12 [2022-03-08 20:49:02 main:482] : INFO : # Recurrent Layers: 4 [2022-03-08 20:49:02 main:483] : INFO : # Backend Layers: 4 [2022-03-08 20:49:02 main:484] : INFO : # Threads: 1 [2022-03-08 20:49:02 main:486] : INFO : Preparing Dataset [2022-03-08 20:49:02 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-03-08 20:49:02 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory [2022-03-08 20:49:05 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2022-03-08 20:49:05 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory [2022-03-08 20:49:05 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory [2022-03-08 20:49:05 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2022-03-08 20:49:05 main:494] : INFO : Creating Model [2022-03-08 20:49:05 main:507] : INFO : Preparing config file [2022-03-08 20:49:05 main:511] : INFO : Found checkpoint, attempting to load... [2022-03-08 20:49:05 main:512] : INFO : Loading config [2022-03-08 20:49:05 main:514] : INFO : Loading state [2022-03-08 20:49:06 main:559] : INFO : Loading DataLoader into Memory [2022-03-08 20:49:06 main:562] : INFO : Starting Training [2022-03-08 20:49:12 main:574] : INFO : Epoch 1911 | loss: 0.0319496 | val_loss: 0.0314493 | Time: 6605.88 ms [2022-03-08 20:49:19 main:574] : INFO : Epoch 1912 | loss: 0.0313232 | val_loss: 0.0312668 | Time: 6219.37 ms [2022-03-08 20:49:25 main:574] : INFO : Epoch 1913 | loss: 0.0312623 | val_loss: 0.0312537 | Time: 6263.73 ms [2022-03-08 20:49:31 main:574] : INFO : Epoch 1914 | loss: 0.0312464 | val_loss: 0.0312386 | Time: 6298.77 ms [2022-03-08 20:49:37 main:574] : INFO : Epoch 1915 | loss: 0.0312304 | val_loss: 0.0312242 | Time: 6284.69 ms [2022-03-08 20:49:44 main:574] : INFO : Epoch 1916 | loss: 0.0312129 | val_loss: 0.0312031 | Time: 6274.16 ms [2022-03-08 20:49:50 main:574] : INFO : Epoch 1917 | loss: 0.0311994 | val_loss: 0.0311935 | Time: 6280.16 ms [2022-03-08 20:49:56 main:574] : INFO : Epoch 1918 | loss: 0.0311924 | val_loss: 0.0311847 | Time: 6301.1 ms [2022-03-08 20:50:03 main:574] : INFO : Epoch 1919 | loss: 0.0311843 | val_loss: 0.0311748 | Time: 6313.13 ms [2022-03-08 20:50:09 main:574] : INFO : Epoch 1920 | loss: 0.0311797 | val_loss: 0.0311723 | Time: 6272.3 ms [2022-03-08 20:50:15 main:574] : INFO : Epoch 1921 | loss: 0.031178 | val_loss: 0.031171 | Time: 6293.58 ms [2022-03-08 20:50:21 main:574] : INFO : Epoch 1922 | loss: 0.0311774 | val_loss: 0.0311706 | Time: 6281.26 ms [2022-03-08 20:50:28 main:574] : INFO : Epoch 1923 | loss: 0.0311756 | val_loss: 0.0311706 | Time: 6269.6 ms [2022-03-08 20:50:34 main:574] : INFO : Epoch 1924 | loss: 0.031178 | val_loss: 0.0311719 | Time: 6269.34 ms [2022-03-08 20:50:40 main:574] : INFO : Epoch 1925 | loss: 0.0311788 | val_loss: 0.031171 | Time: 6288.77 ms [2022-03-08 20:50:47 main:574] : INFO : Epoch 1926 | loss: 0.0311753 | val_loss: 0.0311758 | Time: 6263.23 ms [2022-03-08 20:50:53 main:574] : INFO : Epoch 1927 | loss: 0.0311751 | val_loss: 0.0311714 | Time: 6280.39 ms [2022-03-08 20:50:59 main:574] : INFO : Epoch 1928 | loss: 0.031172 | val_loss: 0.0311686 | Time: 6283.02 ms [2022-03-08 20:51:05 main:574] : INFO : Epoch 1929 | loss: 0.0311725 | val_loss: 0.031178 | Time: 6290.76 ms [2022-03-08 20:51:12 main:574] : INFO : Epoch 1930 | loss: 0.0311709 | val_loss: 0.0311691 | Time: 6307.89 ms [2022-03-08 20:51:18 main:574] : INFO : Epoch 1931 | loss: 0.0311698 | val_loss: 0.0311683 | Time: 6310.88 ms [2022-03-08 20:51:24 main:574] : INFO : Epoch 1932 | loss: 0.0311702 | val_loss: 0.0311738 | Time: 6308.63 ms [2022-03-08 20:51:31 main:574] : INFO : Epoch 1933 | loss: 0.0311688 | val_loss: 0.0311692 | Time: 6273.81 ms [2022-03-08 20:51:37 main:574] : INFO : Epoch 1934 | loss: 0.0311704 | val_loss: 0.0311712 | Time: 6269.68 ms [2022-03-08 20:51:43 main:574] : INFO : Epoch 1935 | loss: 0.0311719 | val_loss: 0.0311715 | Time: 6305.85 ms [2022-03-08 20:51:49 main:574] : INFO : Epoch 1936 | loss: 0.0311712 | val_loss: 0.0311703 | Time: 6288.59 ms [2022-03-08 20:51:56 main:574] : INFO : Epoch 1937 | loss: 0.0311711 | val_loss: 0.0311696 | Time: 6314.53 ms [2022-03-08 20:52:02 main:574] : INFO : Epoch 1938 | loss: 0.0311708 | val_loss: 0.0311688 | Time: 6403.52 ms [2022-03-08 20:52:09 main:574] : INFO : Epoch 1939 | loss: 0.0311711 | val_loss: 0.0311735 | Time: 6404.41 ms [2022-03-08 20:52:15 main:574] : INFO : Epoch 1940 | loss: 0.0311717 | val_loss: 0.0311703 | Time: 6288.09 ms [2022-03-08 20:52:21 main:574] : INFO : Epoch 1941 | loss: 0.0311703 | val_loss: 0.0311713 | Time: 6407.96 ms [2022-03-08 20:52:28 main:574] : INFO : Epoch 1942 | loss: 0.031169 | val_loss: 0.0311692 | Time: 6375.59 ms [2022-03-08 20:52:34 main:574] : INFO : Epoch 1943 | loss: 0.0311702 | val_loss: 0.0311715 | Time: 6385.82 ms [2022-03-08 20:52:41 main:574] : INFO : Epoch 1944 | loss: 0.0311716 | val_loss: 0.0311703 | Time: 6419.92 ms [2022-03-08 20:52:47 main:574] : INFO : Epoch 1945 | loss: 0.0311691 | val_loss: 0.031169 | Time: 6344.54 ms [2022-03-08 20:52:53 main:574] : INFO : Epoch 1946 | loss: 0.0311691 | val_loss: 0.0311697 | Time: 6335.88 ms [2022-03-08 20:53:00 main:574] : INFO : Epoch 1947 | loss: 0.0311688 | val_loss: 0.0311708 | Time: 6306.53 ms [2022-03-08 20:53:06 main:574] : INFO : Epoch 1948 | loss: 0.0311684 | val_loss: 0.0311679 | Time: 6317.09 ms [2022-03-08 20:53:12 main:574] : INFO : Epoch 1949 | loss: 0.0311693 | val_loss: 0.0311703 | Time: 6290.61 ms [2022-03-08 20:53:18 main:574] : INFO : Epoch 1950 | loss: 0.0311677 | val_loss: 0.0311694 | Time: 6365.91 ms [2022-03-08 20:53:25 main:574] : INFO : Epoch 1951 | loss: 0.0311682 | val_loss: 0.031172 | Time: 6415.53 ms [2022-03-08 20:53:31 main:574] : INFO : Epoch 1952 | loss: 0.0311725 | val_loss: 0.0311698 | Time: 6356.64 ms [2022-03-08 20:53:38 main:574] : INFO : Epoch 1953 | loss: 0.0311687 | val_loss: 0.0311688 | Time: 6347.58 ms [2022-03-08 20:53:44 main:574] : INFO : Epoch 1954 | loss: 0.0311675 | val_loss: 0.0311673 | Time: 6338.51 ms [2022-03-08 20:53:50 main:574] : INFO : Epoch 1955 | loss: 0.031167 | val_loss: 0.031168 | Time: 6332.03 ms [2022-03-08 20:53:57 main:574] : INFO : Epoch 1956 | loss: 0.031168 | val_loss: 0.0311674 | Time: 6321.99 ms [2022-03-08 20:54:03 main:574] : INFO : Epoch 1957 | loss: 0.0311673 | val_loss: 0.0311674 | Time: 6325.45 ms [2022-03-08 20:54:09 main:574] : INFO : Epoch 1958 | loss: 0.0311687 | val_loss: 0.0311679 | Time: 6368.52 ms [2022-03-08 20:54:16 main:574] : INFO : Epoch 1959 | loss: 0.0311678 | val_loss: 0.0311674 | Time: 6323.27 ms [2022-03-08 20:54:22 main:574] : INFO : Epoch 1960 | loss: 0.0311695 | val_loss: 0.0311673 | Time: 6335.26 ms [2022-03-08 20:54:28 main:574] : INFO : Epoch 1961 | loss: 0.0311679 | val_loss: 0.0311701 | Time: 6351.36 ms [2022-03-08 20:54:35 main:574] : INFO : Epoch 1962 | loss: 0.0311682 | val_loss: 0.0311676 | Time: 6325.05 ms [2022-03-08 20:54:41 main:574] : INFO : Epoch 1963 | loss: 0.0311673 | val_loss: 0.0311683 | Time: 6312.52 ms [2022-03-08 20:54:47 main:574] : INFO : Epoch 1964 | loss: 0.0311673 | val_loss: 0.0311676 | Time: 6324.31 ms [2022-03-08 20:54:54 main:574] : INFO : Epoch 1965 | loss: 0.0311663 | val_loss: 0.0311691 | Time: 6401.73 ms [2022-03-08 20:55:00 main:574] : INFO : Epoch 1966 | loss: 0.0311659 | val_loss: 0.0311669 | Time: 6319.88 ms [2022-03-08 20:55:07 main:574] : INFO : Epoch 1967 | loss: 0.0311652 | val_loss: 0.0311672 | Time: 6449.96 ms [2022-03-08 20:55:13 main:574] : INFO : Epoch 1968 | loss: 0.0311676 | val_loss: 0.0311733 | Time: 6320.96 ms [2022-03-08 20:55:19 main:574] : INFO : Epoch 1969 | loss: 0.0311724 | val_loss: 0.03118 | Time: 6295.94 ms [2022-03-08 20:55:26 main:574] : INFO : Epoch 1970 | loss: 0.0311735 | val_loss: 0.0311678 | Time: 6337.14 ms [2022-03-08 20:55:32 main:574] : INFO : Epoch 1971 | loss: 0.0311701 | val_loss: 0.031169 | Time: 6354.29 ms [2022-03-08 20:55:38 main:574] : INFO : Epoch 1972 | loss: 0.0311684 | val_loss: 0.0311675 | Time: 6381.64 ms [2022-03-08 20:55:45 main:574] : INFO : Epoch 1973 | loss: 0.0311673 | val_loss: 0.0311673 | Time: 6348.41 ms [2022-03-08 20:55:51 main:574] : INFO : Epoch 1974 | loss: 0.0311667 | val_loss: 0.0311675 | Time: 6350.37 ms [2022-03-08 20:55:57 main:574] : INFO : Epoch 1975 | loss: 0.0311665 | val_loss: 0.031168 | Time: 6318.9 ms [2022-03-08 20:56:04 main:574] : INFO : Epoch 1976 | loss: 0.0311664 | val_loss: 0.0311667 | Time: 6329.83 ms [2022-03-08 20:56:10 main:574] : INFO : Epoch 1977 | loss: 0.0311668 | val_loss: 0.0311706 | Time: 6301.64 ms [2022-03-08 20:56:16 main:574] : INFO : Epoch 1978 | loss: 0.031166 | val_loss: 0.0311695 | Time: 6347.65 ms [2022-03-08 20:56:23 main:574] : INFO : Epoch 1979 | loss: 0.0311676 | val_loss: 0.0311708 | Time: 6353.21 ms [2022-03-08 20:56:29 main:574] : INFO : Epoch 1980 | loss: 0.0311671 | val_loss: 0.0311696 | Time: 6385.89 ms [2022-03-08 20:56:35 main:574] : INFO : Epoch 1981 | loss: 0.0311655 | val_loss: 0.0311685 | Time: 6414.57 ms [2022-03-08 20:56:42 main:574] : INFO : Epoch 1982 | loss: 0.0311658 | val_loss: 0.0311687 | Time: 6343.63 ms [2022-03-08 20:56:48 main:574] : INFO : Epoch 1983 | loss: 0.0311656 | val_loss: 0.0311716 | Time: 6389.08 ms [2022-03-08 20:56:55 main:574] : INFO : Epoch 1984 | loss: 0.031167 | val_loss: 0.0311658 | Time: 6338.53 ms [2022-03-08 20:57:01 main:574] : INFO : Epoch 1985 | loss: 0.0311655 | val_loss: 0.0311733 | Time: 6290.66 ms [2022-03-08 20:57:07 main:574] : INFO : Epoch 1986 | loss: 0.0311655 | val_loss: 0.031166 | Time: 6310.05 ms [2022-03-08 20:57:13 main:574] : INFO : Epoch 1987 | loss: 0.0311621 | val_loss: 0.0311669 | Time: 6341.07 ms [2022-03-08 20:57:20 main:574] : INFO : Epoch 1988 | loss: 0.031167 | val_loss: 0.0311667 | Time: 6357.57 ms [2022-03-08 20:57:26 main:574] : INFO : Epoch 1989 | loss: 0.0311673 | val_loss: 0.0311762 | Time: 6298.42 ms [2022-03-08 20:57:32 main:574] : INFO : Epoch 1990 | loss: 0.0311682 | val_loss: 0.0311679 | Time: 6317.51 ms [2022-03-08 20:57:39 main:574] : INFO : Epoch 1991 | loss: 0.0311669 | val_loss: 0.0311667 | Time: 6335.82 ms [2022-03-08 20:57:45 main:574] : INFO : Epoch 1992 | loss: 0.0311637 | val_loss: 0.0311724 | Time: 6285.28 ms [2022-03-08 20:57:51 main:574] : INFO : Epoch 1993 | loss: 0.0311657 | val_loss: 0.0311679 | Time: 6360.65 ms [2022-03-08 20:57:58 main:574] : INFO : Epoch 1994 | loss: 0.0311624 | val_loss: 0.0311659 | Time: 6331.68 ms [2022-03-08 20:58:04 main:574] : INFO : Epoch 1995 | loss: 0.0311617 | val_loss: 0.0311686 | Time: 6337.08 ms [2022-03-08 20:58:10 main:574] : INFO : Epoch 1996 | loss: 0.0311619 | val_loss: 0.0311662 | Time: 6302.46 ms [2022-03-08 20:58:17 main:574] : INFO : Epoch 1997 | loss: 0.0311624 | val_loss: 0.0311664 | Time: 6321.41 ms [2022-03-08 20:58:23 main:574] : INFO : Epoch 1998 | loss: 0.0311614 | val_loss: 0.0311668 | Time: 6282.83 ms [2022-03-08 20:58:29 main:574] : INFO : Epoch 1999 | loss: 0.0311612 | val_loss: 0.0311677 | Time: 6362.35 ms [2022-03-08 20:58:36 main:574] : INFO : Epoch 2000 | loss: 0.0311639 | val_loss: 0.0311682 | Time: 6288.81 ms [2022-03-08 20:58:42 main:574] : INFO : Epoch 2001 | loss: 0.0311636 | val_loss: 0.0311662 | Time: 6374.63 ms [2022-03-08 20:58:48 main:574] : INFO : Epoch 2002 | loss: 0.0311618 | val_loss: 0.0311672 | Time: 6326.21 ms [2022-03-08 20:58:55 main:574] : INFO : Epoch 2003 | loss: 0.0311626 | val_loss: 0.0311659 | Time: 6335.35 ms [2022-03-08 20:59:01 main:574] : INFO : Epoch 2004 | loss: 0.0311606 | val_loss: 0.0311688 | Time: 6311.2 ms [2022-03-08 20:59:07 main:574] : INFO : Epoch 2005 | loss: 0.0311613 | val_loss: 0.0311679 | Time: 6287.39 ms [2022-03-08 20:59:14 main:574] : INFO : Epoch 2006 | loss: 0.0311628 | val_loss: 0.0311666 | Time: 6325.57 ms [2022-03-08 20:59:20 main:574] : INFO : Epoch 2007 | loss: 0.0311624 | val_loss: 0.0311694 | Time: 6297.52 ms [2022-03-08 20:59:26 main:574] : INFO : Epoch 2008 | loss: 0.0311623 | val_loss: 0.0311675 | Time: 6290.07 ms [2022-03-08 20:59:33 main:574] : INFO : Epoch 2009 | loss: 0.0311604 | val_loss: 0.0311667 | Time: 6343.23 ms [2022-03-08 20:59:39 main:574] : INFO : Epoch 2010 | loss: 0.0311613 | val_loss: 0.0311668 | Time: 6361.53 ms [2022-03-08 20:59:45 main:574] : INFO : Epoch 2011 | loss: 0.031161 | val_loss: 0.0311686 | Time: 6348.97 ms [2022-03-08 20:59:52 main:574] : INFO : Epoch 2012 | loss: 0.0311642 | val_loss: 0.0311722 | Time: 6298.2 ms [2022-03-08 20:59:58 main:574] : INFO : Epoch 2013 | loss: 0.0311633 | val_loss: 0.0311664 | Time: 6289.72 ms [2022-03-08 21:00:04 main:574] : INFO : Epoch 2014 | loss: 0.0311624 | val_loss: 0.0311651 | Time: 6271.82 ms [2022-03-08 21:00:11 main:574] : INFO : Epoch 2015 | loss: 0.0311603 | val_loss: 0.0311668 | Time: 6351.58 ms [2022-03-08 21:00:17 main:574] : INFO : Epoch 2016 | loss: 0.0311611 | val_loss: 0.0311703 | Time: 6439.91 ms [2022-03-08 21:00:23 main:574] : INFO : Epoch 2017 | loss: 0.0311604 | val_loss: 0.0311668 | Time: 6377.91 ms [2022-03-08 21:00:30 main:574] : INFO : Epoch 2018 | loss: 0.0311598 | val_loss: 0.0311665 | Time: 6298.69 ms [2022-03-08 21:00:36 main:574] : INFO : Epoch 2019 | loss: 0.0311629 | val_loss: 0.0311677 | Time: 6246.04 ms [2022-03-08 21:00:42 main:574] : INFO : Epoch 2020 | loss: 0.0311613 | val_loss: 0.031167 | Time: 6252.59 ms [2022-03-08 21:00:49 main:574] : INFO : Epoch 2021 | loss: 0.0311637 | val_loss: 0.0311672 | Time: 6248.9 ms [2022-03-08 21:00:55 main:574] : INFO : Epoch 2022 | loss: 0.0311624 | val_loss: 0.0311675 | Time: 6249.15 ms [2022-03-08 21:01:01 main:574] : INFO : Epoch 2023 | loss: 0.0311609 | val_loss: 0.0311716 | Time: 6247.12 ms [2022-03-08 21:01:07 main:574] : INFO : Epoch 2024 | loss: 0.0311612 | val_loss: 0.0311685 | Time: 6257.24 ms [2022-03-08 21:01:14 main:574] : INFO : Epoch 2025 | loss: 0.0311632 | val_loss: 0.0311727 | Time: 6243.66 ms [2022-03-08 21:01:20 main:574] : INFO : Epoch 2026 | loss: 0.0311605 | val_loss: 0.0311661 | Time: 6251.47 ms [2022-03-08 21:01:26 main:574] : INFO : Epoch 2027 | loss: 0.0311594 | val_loss: 0.0311677 | Time: 6242.76 ms [2022-03-08 21:01:32 main:574] : INFO : Epoch 2028 | loss: 0.0311609 | val_loss: 0.0311676 | Time: 6240.11 ms [2022-03-08 21:01:39 main:574] : INFO : Epoch 2029 | loss: 0.0311642 | val_loss: 0.0311686 | Time: 6243.74 ms [2022-03-08 21:01:45 main:574] : INFO : Epoch 2030 | loss: 0.0311628 | val_loss: 0.0311662 | Time: 6242.07 ms [2022-03-08 21:01:51 main:574] : INFO : Epoch 2031 | loss: 0.0311629 | val_loss: 0.0311654 | Time: 6248.65 ms [2022-03-08 21:01:57 main:574] : INFO : Epoch 2032 | loss: 0.0311597 | val_loss: 0.0311643 | Time: 6249.02 ms [2022-03-08 21:02:04 main:574] : INFO : Epoch 2033 | loss: 0.0311592 | val_loss: 0.0311661 | Time: 6252 ms [2022-03-08 21:02:10 main:574] : INFO : Epoch 2034 | loss: 0.0311592 | val_loss: 0.0311656 | Time: 6253.47 ms [2022-03-08 21:02:16 main:574] : INFO : Epoch 2035 | loss: 0.0311589 | val_loss: 0.0311649 | Time: 6245.5 ms [2022-03-08 21:02:22 main:574] : INFO : Epoch 2036 | loss: 0.0311607 | val_loss: 0.0311664 | Time: 6246.89 ms [2022-03-08 21:02:29 main:574] : INFO : Epoch 2037 | loss: 0.0311592 | val_loss: 0.0311631 | Time: 6239.96 ms [2022-03-08 21:02:36 main:574] : INFO : Epoch 2038 | loss: 0.0311593 | val_loss: 0.0311658 | Time: 7864.37 ms [2022-03-08 21:02:47 main:574] : INFO : Epoch 2039 | loss: 0.0311619 | val_loss: 0.031164 | Time: 10360.3 ms [2022-03-08 21:02:57 main:574] : INFO : Epoch 2040 | loss: 0.0311622 | val_loss: 0.031165 | Time: 9777.09 ms [2022-03-08 21:03:07 main:574] : INFO : Epoch 2041 | loss: 0.0311586 | val_loss: 0.0311651 | Time: 10018.6 ms [2022-03-08 21:03:17 main:574] : INFO : Epoch 2042 | loss: 0.0311591 | val_loss: 0.0311634 | Time: 10499.2 ms [2022-03-08 21:03:27 main:574] : INFO : Epoch 2043 | loss: 0.0311601 | val_loss: 0.0311706 | Time: 10256.8 ms [2022-03-08 21:03:37 main:574] : INFO : Epoch 2044 | loss: 0.0311643 | val_loss: 0.0311662 | Time: 10050.6 ms [2022-03-08 21:03:48 main:574] : INFO : Epoch 2045 | loss: 0.0311613 | val_loss: 0.031175 | Time: 10264.7 ms [2022-03-08 21:03:58 main:574] : INFO : Epoch 2046 | loss: 0.0311615 | val_loss: 0.0311651 | Time: 10076.4 ms [2022-03-08 21:04:08 main:574] : INFO : Epoch 2047 | loss: 0.031159 | val_loss: 0.0311651 | Time: 9920.23 ms [2022-03-08 21:04:18 main:574] : INFO : Epoch 2048 | loss: 0.0311588 | val_loss: 0.031166 | Time: 10145.2 ms [2022-03-08 21:04:18 main:597] : INFO : Saving trained model to model-final.pt, val_loss 0.031166 [2022-03-08 21:04:18 main:603] : INFO : Saving end state to config to file [2022-03-08 21:04:18 main:608] : INFO : Success, exiting.. 21:04:18 (13624): 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)