| Name | ParityMachine-1619579783-6121-2_0 |
| Workunit | 3120344 |
| Created | 15 May 2021, 5:17:15 UTC |
| Sent | 24 May 2021, 4:54:09 UTC |
| Report deadline | 31 May 2021, 4:54:09 UTC |
| Received | 3 Jun 2021, 9:27:24 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 12436 |
| Run time | 1 hours 27 min 46 sec |
| CPU time | 1 hours 26 min 39 sec |
| Validate state | Task was reported too late to validate |
| Credit | 0.00 |
| Device peak FLOPS | 2,471.91 GFLOPS |
| Application version | Machine Learning Dataset Generator (GPU) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 1.64 GB |
| Peak swap size | 3.61 GB |
| Peak disk usage | 1.54 GB |
<core_client_version>7.16.11</core_client_version> <![CDATA[ <stderr_txt> val_loss: 0.0311732 | Time: 2251.99 ms [2021-06-02 12:50:15 main:574] : INFO : Epoch 1957 | loss: 0.031163 | val_loss: 0.0311682 | Time: 2747.75 ms [2021-06-02 12:50:18 main:574] : INFO : Epoch 1958 | loss: 0.0311628 | val_loss: 0.0311738 | Time: 2746.25 ms [2021-06-02 12:50:20 main:574] : INFO : Epoch 1959 | loss: 0.0311653 | val_loss: 0.0311696 | Time: 2305.6 ms [2021-06-02 12:50:23 main:574] : INFO : Epoch 1960 | loss: 0.0311635 | val_loss: 0.0311729 | Time: 2699.68 ms [2021-06-02 12:50:25 main:574] : INFO : Epoch 1961 | loss: 0.0311675 | val_loss: 0.0311858 | Time: 2689.42 ms [2021-06-02 12:50:28 main:574] : INFO : Epoch 1962 | loss: 0.0311662 | val_loss: 0.0311822 | Time: 2351.04 ms [2021-06-02 12:50:31 main:574] : INFO : Epoch 1963 | loss: 0.0311765 | val_loss: 0.0311823 | Time: 2651.05 ms [2021-06-02 12:50:33 main:574] : INFO : Epoch 1964 | loss: 0.0311695 | val_loss: 0.0311703 | Time: 2551.93 ms [2021-06-02 12:50:36 main:574] : INFO : Epoch 1965 | loss: 0.0311628 | val_loss: 0.0311683 | Time: 2533.09 ms [2021-06-02 12:50:38 main:574] : INFO : Epoch 1966 | loss: 0.0311621 | val_loss: 0.0311711 | Time: 2700.16 ms [2021-06-02 12:50:41 main:574] : INFO : Epoch 1967 | loss: 0.0311627 | val_loss: 0.0311692 | Time: 2357.89 ms [2021-06-02 12:50:43 main:574] : INFO : Epoch 1968 | loss: 0.0311626 | val_loss: 0.0311698 | Time: 2760.25 ms [2021-06-02 12:50:46 main:574] : INFO : Epoch 1969 | loss: 0.0311626 | val_loss: 0.0311689 | Time: 2738.74 ms [2021-06-02 12:50:48 main:574] : INFO : Epoch 1970 | loss: 0.0311621 | val_loss: 0.0311694 | Time: 2269.29 ms [2021-06-02 12:50:51 main:574] : INFO : Epoch 1971 | loss: 0.031161 | val_loss: 0.0311693 | Time: 2680.16 ms [2021-06-02 12:50:54 main:574] : INFO : Epoch 1972 | loss: 0.0311622 | val_loss: 0.0311693 | Time: 2689.27 ms [2021-06-02 12:50:56 main:574] : INFO : Epoch 1973 | loss: 0.0311616 | val_loss: 0.0311702 | Time: 2325.63 ms [2021-06-02 12:50:59 main:574] : INFO : Epoch 1974 | loss: 0.0311644 | val_loss: 0.0311708 | Time: 2721.71 ms [2021-06-02 12:51:02 main:574] : INFO : Epoch 1975 | loss: 0.0311626 | val_loss: 0.0311702 | Time: 2700.26 ms [2021-06-02 12:51:04 main:574] : INFO : Epoch 1976 | loss: 0.0311645 | val_loss: 0.031176 | Time: 2387.61 ms [2021-06-02 12:51:07 main:574] : INFO : Epoch 1977 | loss: 0.0311639 | val_loss: 0.0311697 | Time: 2666.24 ms [2021-06-02 12:51:09 main:574] : INFO : Epoch 1978 | loss: 0.031162 | val_loss: 0.0311696 | Time: 2491 ms [2021-06-02 12:51:12 main:574] : INFO : Epoch 1979 | loss: 0.0311639 | val_loss: 0.0311828 | Time: 2536.34 ms [2021-06-02 12:51:14 main:574] : INFO : Epoch 1980 | loss: 0.0311648 | val_loss: 0.0311716 | Time: 2687.33 ms [2021-06-02 12:51:17 main:574] : INFO : Epoch 1981 | loss: 0.0311634 | val_loss: 0.03117 | Time: 2344.58 ms [2021-06-02 12:51:19 main:574] : INFO : Epoch 1982 | loss: 0.031163 | val_loss: 0.0311698 | Time: 2606.49 ms [2021-06-02 12:51:22 main:574] : INFO : Epoch 1983 | loss: 0.031165 | val_loss: 0.031175 | Time: 2723.87 ms [2021-06-02 12:51:24 main:574] : INFO : Epoch 1984 | loss: 0.0311625 | val_loss: 0.0311687 | Time: 2311.12 ms [2021-06-02 12:51:27 main:574] : INFO : Epoch 1985 | loss: 0.0311633 | val_loss: 0.0311787 | Time: 2630.43 ms [2021-06-02 12:51:30 main:574] : INFO : Epoch 1986 | loss: 0.0311616 | val_loss: 0.031168 | Time: 2618.24 ms [2021-06-02 12:51:32 main:574] : INFO : Epoch 1987 | loss: 0.0311688 | val_loss: 0.0311747 | Time: 2413.56 ms [2021-06-02 12:51:35 main:574] : INFO : Epoch 1988 | loss: 0.0311674 | val_loss: 0.0311741 | Time: 2803.91 ms [2021-06-02 12:51:38 main:574] : INFO : Epoch 1989 | loss: 0.0311637 | val_loss: 0.0311714 | Time: 2668.85 ms [2021-06-02 12:51:40 main:574] : INFO : Epoch 1990 | loss: 0.0311625 | val_loss: 0.0311682 | Time: 2404.27 ms [2021-06-02 12:51:43 main:574] : INFO : Epoch 1991 | loss: 0.0311638 | val_loss: 0.0311699 | Time: 2660.58 ms [2021-06-02 12:51:45 main:574] : INFO : Epoch 1992 | loss: 0.0311628 | val_loss: 0.0311705 | Time: 2584.02 ms [2021-06-02 12:51:48 main:574] : INFO : Epoch 1993 | loss: 0.0311602 | val_loss: 0.0311683 | Time: 2451.44 ms [2021-06-02 12:51:50 main:574] : INFO : Epoch 1994 | loss: 0.0311598 | val_loss: 0.0311707 | Time: 2728.81 ms [2021-06-02 12:51:53 main:574] : INFO : Epoch 1995 | loss: 0.0311646 | val_loss: 0.0311721 | Time: 2312.97 ms [2021-06-02 12:51:55 main:574] : INFO : Epoch 1996 | loss: 0.0311632 | val_loss: 0.0311715 | Time: 2680.08 ms [2021-06-02 12:51:58 main:574] : INFO : Epoch 1997 | loss: 0.0311612 | val_loss: 0.0311684 | Time: 2828.2 ms [2021-06-02 12:52:01 main:574] : INFO : Epoch 1998 | loss: 0.0311612 | val_loss: 0.0311702 | Time: 2336.85 ms [2021-06-02 12:52:03 main:574] : INFO : Epoch 1999 | loss: 0.031168 | val_loss: 0.0311704 | Time: 2747.48 ms [2021-06-02 12:52:06 main:574] : INFO : Epoch 2000 | loss: 0.0311693 | val_loss: 0.0311735 | Time: 2807.71 ms [2021-06-02 12:52:08 main:574] : INFO : Epoch 2001 | loss: 0.0311658 | val_loss: 0.031169 | Time: 2256.41 ms [2021-06-02 12:52:11 main:574] : INFO : Epoch 2002 | loss: 0.0311644 | val_loss: 0.0311706 | Time: 2747.51 ms [2021-06-02 12:52:14 main:574] : INFO : Epoch 2003 | loss: 0.0311631 | val_loss: 0.031169 | Time: 2788.11 ms [2021-06-02 12:52:16 main:574] : INFO : Epoch 2004 | loss: 0.0311611 | val_loss: 0.0311688 | Time: 2333.82 ms [2021-06-02 12:52:19 main:574] : INFO : Epoch 2005 | loss: 0.0311655 | val_loss: 0.0311719 | Time: 2715.37 ms [2021-06-02 12:52:22 main:574] : INFO : Epoch 2006 | loss: 0.0311632 | val_loss: 0.0311699 | Time: 2585.68 ms [2021-06-02 12:52:24 main:574] : INFO : Epoch 2007 | loss: 0.0311623 | val_loss: 0.0311697 | Time: 2417.68 ms [2021-06-02 12:52:27 main:574] : INFO : Epoch 2008 | loss: 0.0311595 | val_loss: 0.0311684 | Time: 2682.35 ms [2021-06-02 12:52:29 main:574] : INFO : Epoch 2009 | loss: 0.0311611 | val_loss: 0.0311708 | Time: 2241.93 ms [2021-06-02 12:52:32 main:574] : INFO : Epoch 2010 | loss: 0.0311599 | val_loss: 0.0311701 | Time: 2666.61 ms [2021-06-02 12:52:34 main:574] : INFO : Epoch 2011 | loss: 0.0311633 | val_loss: 0.0311775 | Time: 2723.24 ms [2021-06-02 12:52:37 main:574] : INFO : Epoch 2012 | loss: 0.0311616 | val_loss: 0.031168 | Time: 2317.72 ms [2021-06-02 12:52:39 main:574] : INFO : Epoch 2013 | loss: 0.0311594 | val_loss: 0.0311684 | Time: 2723.21 ms [2021-06-02 12:52:42 main:574] : INFO : Epoch 2014 | loss: 0.0311613 | val_loss: 0.0311861 | Time: 2660.55 ms [2021-06-02 12:52:44 main:574] : INFO : Epoch 2015 | loss: 0.0311691 | val_loss: 0.0311829 | Time: 2305.64 ms [2021-06-02 12:52:47 main:574] : INFO : Epoch 2016 | loss: 0.0311673 | val_loss: 0.0311723 | Time: 2653.2 ms [2021-06-02 12:52:50 main:574] : INFO : Epoch 2017 | loss: 0.0311613 | val_loss: 0.0311684 | Time: 2600.85 ms [2021-06-02 12:52:52 main:574] : INFO : Epoch 2018 | loss: 0.0311591 | val_loss: 0.0311691 | Time: 2423.13 ms [2021-06-02 12:52:55 main:574] : INFO : Epoch 2019 | loss: 0.031164 | val_loss: 0.0311716 | Time: 2704.89 ms [2021-06-02 12:52:57 main:574] : INFO : Epoch 2020 | loss: 0.0311596 | val_loss: 0.0311686 | Time: 2290.19 ms [2021-06-02 12:53:00 main:574] : INFO : Epoch 2021 | loss: 0.03116 | val_loss: 0.0311683 | Time: 2683.16 ms [2021-06-02 12:53:03 main:574] : INFO : Epoch 2022 | loss: 0.0311599 | val_loss: 0.0311727 | Time: 2822.73 ms [2021-06-02 12:53:06 main:574] : INFO : Epoch 2023 | loss: 0.0311637 | val_loss: 0.0311705 | Time: 3630.57 ms [2021-06-02 12:53:09 main:574] : INFO : Epoch 2024 | loss: 0.0311644 | val_loss: 0.0311711 | Time: 2236.93 ms [2021-06-02 12:53:11 main:574] : INFO : Epoch 2025 | loss: 0.0311594 | val_loss: 0.0311706 | Time: 2712.17 ms [2021-06-02 12:53:14 main:574] : INFO : Epoch 2026 | loss: 0.0311602 | val_loss: 0.0311694 | Time: 2458.45 ms [2021-06-02 12:53:16 main:574] : INFO : Epoch 2027 | loss: 0.0311587 | val_loss: 0.0311812 | Time: 2619.18 ms [2021-06-02 12:53:19 main:574] : INFO : Epoch 2028 | loss: 0.0311641 | val_loss: 0.0311745 | Time: 2754.21 ms [2021-06-02 12:53:22 main:574] : INFO : Epoch 2029 | loss: 0.0311593 | val_loss: 0.03117 | Time: 2468.53 ms [2021-06-02 12:53:24 main:574] : INFO : Epoch 2030 | loss: 0.0311596 | val_loss: 0.0311717 | Time: 2610.11 ms [2021-06-02 12:53:27 main:574] : INFO : Epoch 2031 | loss: 0.031159 | val_loss: 0.0311711 | Time: 2663.23 ms [2021-06-02 12:53:29 main:574] : INFO : Epoch 2032 | loss: 0.0311619 | val_loss: 0.0311699 | Time: 2283.32 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: Quadro P2000) [2021-06-03 10:02:26 main:435] : INFO : Set logging level to 1 [2021-06-03 10:02:26 main:441] : INFO : Running in BOINC Client mode [2021-06-03 10:02:26 main:444] : INFO : Resolving all filenames [2021-06-03 10:02:26 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 (exists = 1) [2021-06-03 10:02:26 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1619579783-6121-2_0_r358592200_1 (exists = 1) [2021-06-03 10:02:26 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1619579783-6121-2_0_r358592200_0 (exists = 0) [2021-06-03 10:02:26 main:452] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1619579783-6121-2 (exists = 1) [2021-06-03 10:02:26 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2021-06-03 10:02:26 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 [2021-06-03 10:02:26 main:474] : INFO : Configuration: [2021-06-03 10:02:26 main:475] : INFO : Model type: GRU [2021-06-03 10:02:26 main:476] : INFO : Validation Loss Threshold: 0.0001 [2021-06-03 10:02:26 main:477] : INFO : Max Epochs: 2048 [2021-06-03 10:02:26 main:478] : INFO : Batch Size: 128 [2021-06-03 10:02:26 main:479] : INFO : Learning Rate: 0.01 [2021-06-03 10:02:26 main:480] : INFO : Patience: 10 [2021-06-03 10:02:26 main:481] : INFO : Hidden Width: 12 [2021-06-03 10:02:26 main:482] : INFO : # Recurrent Layers: 4 [2021-06-03 10:02:26 main:483] : INFO : # Backend Layers: 4 [2021-06-03 10:02:26 main:484] : INFO : # Threads: 1 [2021-06-03 10:02:26 main:486] : INFO : Preparing Dataset [2021-06-03 10:02:26 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-06-03 10:02:26 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-06-03 10:02:29 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-06-03 10:02:29 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-06-03 10:02:29 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-06-03 10:02:29 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-06-03 10:02:29 main:494] : INFO : Creating Model [2021-06-03 10:02:29 main:507] : INFO : Preparing config file [2021-06-03 10:02:29 main:511] : INFO : Found checkpoint, attempting to load... [2021-06-03 10:02:29 main:512] : INFO : Loading config [2021-06-03 10:02:29 main:514] : INFO : Loading state [2021-06-03 10:02:30 main:559] : INFO : Loading DataLoader into Memory [2021-06-03 10:02:30 main:562] : INFO : Starting Training [2021-06-03 10:02:33 main:574] : INFO : Epoch 1988 | loss: 0.0314163 | val_loss: 0.0312669 | Time: 2865.96 ms [2021-06-03 10:02:35 main:574] : INFO : Epoch 1989 | loss: 0.0312558 | val_loss: 0.0312401 | Time: 2245.26 ms [2021-06-03 10:02:38 main:574] : INFO : Epoch 1990 | loss: 0.0312197 | val_loss: 0.031197 | Time: 2575.72 ms [2021-06-03 10:02:40 main:574] : INFO : Epoch 1991 | loss: 0.03118 | val_loss: 0.0311723 | Time: 2314.9 ms [2021-06-03 10:02:43 main:574] : INFO : Epoch 1992 | loss: 0.0311712 | val_loss: 0.0311737 | Time: 2598.93 ms [2021-06-03 10:02:46 main:574] : INFO : Epoch 1993 | loss: 0.0311644 | val_loss: 0.0311695 | Time: 2647.62 ms [2021-06-03 10:02:48 main:574] : INFO : Epoch 1994 | loss: 0.0311628 | val_loss: 0.0311663 | Time: 2297 ms [2021-06-03 10:02:50 main:574] : INFO : Epoch 1995 | loss: 0.0311607 | val_loss: 0.0311667 | Time: 2592.16 ms [2021-06-03 10:02:53 main:574] : INFO : Epoch 1996 | loss: 0.0311641 | val_loss: 0.0311788 | Time: 2297.33 ms [2021-06-03 10:02:55 main:574] : INFO : Epoch 1997 | loss: 0.0311728 | val_loss: 0.0311679 | Time: 2545.91 ms [2021-06-03 10:02:58 main:574] : INFO : Epoch 1998 | loss: 0.0311648 | val_loss: 0.0311663 | Time: 2632.64 ms [2021-06-03 10:03:00 main:574] : INFO : Epoch 1999 | loss: 0.0311597 | val_loss: 0.0311649 | Time: 2310.26 ms [2021-06-03 10:03:03 main:574] : INFO : Epoch 2000 | loss: 0.0311624 | val_loss: 0.0311719 | Time: 2631.74 ms [2021-06-03 10:03:05 main:574] : INFO : Epoch 2001 | loss: 0.0311627 | val_loss: 0.0311673 | Time: 2451.26 ms [2021-06-03 10:03:08 main:574] : INFO : Epoch 2002 | loss: 0.0311594 | val_loss: 0.0311675 | Time: 2483.76 ms [2021-06-03 10:03:11 main:574] : INFO : Epoch 2003 | loss: 0.0311605 | val_loss: 0.0311697 | Time: 2682.61 ms [2021-06-03 10:03:13 main:574] : INFO : Epoch 2004 | loss: 0.031159 | val_loss: 0.0311659 | Time: 2417.91 ms [2021-06-03 10:03:16 main:574] : INFO : Epoch 2005 | loss: 0.0311578 | val_loss: 0.0311656 | Time: 2760.67 ms [2021-06-03 10:03:18 main:574] : INFO : Epoch 2006 | loss: 0.0311586 | val_loss: 0.0311693 | Time: 2646.97 ms [2021-06-03 10:03:21 main:574] : INFO : Epoch 2007 | loss: 0.0311605 | val_loss: 0.0311667 | Time: 2287.55 ms [2021-06-03 10:03:23 main:574] : INFO : Epoch 2008 | loss: 0.0311569 | val_loss: 0.031167 | Time: 2773.32 ms [2021-06-03 10:03:27 main:574] : INFO : Epoch 2009 | loss: 0.0311562 | val_loss: 0.0311647 | Time: 3903.6 ms [2021-06-03 10:03:31 main:574] : INFO : Epoch 2010 | loss: 0.0311558 | val_loss: 0.0311648 | Time: 3394.99 ms [2021-06-03 10:03:44 main:574] : INFO : Epoch 2011 | loss: 0.0311553 | val_loss: 0.0311649 | Time: 13425.6 ms [2021-06-03 10:03:46 main:574] : INFO : Epoch 2012 | loss: 0.0311541 | val_loss: 0.0311656 | Time: 2298.36 ms [2021-06-03 10:03:49 main:574] : INFO : Epoch 2013 | loss: 0.0311541 | val_loss: 0.0311653 | Time: 2718.32 ms [2021-06-03 10:03:52 main:574] : INFO : Epoch 2014 | loss: 0.0311547 | val_loss: 0.0311648 | Time: 2656.15 ms [2021-06-03 10:03:54 main:574] : INFO : Epoch 2015 | loss: 0.0311579 | val_loss: 0.0311716 | Time: 2397.76 ms [2021-06-03 10:03:57 main:574] : INFO : Epoch 2016 | loss: 0.0311598 | val_loss: 0.0311669 | Time: 2747.82 ms [2021-06-03 10:04:00 main:574] : INFO : Epoch 2017 | loss: 0.0311567 | val_loss: 0.0311639 | Time: 2589.3 ms [2021-06-03 10:04:02 main:574] : INFO : Epoch 2018 | loss: 0.0311569 | val_loss: 0.0311651 | Time: 2589.54 ms [2021-06-03 10:04:05 main:574] : INFO : Epoch 2019 | loss: 0.0311594 | val_loss: 0.0311645 | Time: 2736.76 ms [2021-06-03 10:04:07 main:574] : INFO : Epoch 2020 | loss: 0.0311593 | val_loss: 0.031164 | Time: 2481.89 ms [2021-06-03 10:04:10 main:574] : INFO : Epoch 2021 | loss: 0.0311623 | val_loss: 0.0311659 | Time: 2587.04 ms [2021-06-03 10:04:13 main:574] : INFO : Epoch 2022 | loss: 0.0311592 | val_loss: 0.0311671 | Time: 2675.71 ms [2021-06-03 10:04:15 main:574] : INFO : Epoch 2023 | loss: 0.0311648 | val_loss: 0.0311669 | Time: 2234.15 ms [2021-06-03 10:04:18 main:574] : INFO : Epoch 2024 | loss: 0.0311627 | val_loss: 0.0311667 | Time: 2776.25 ms [2021-06-03 10:04:20 main:574] : INFO : Epoch 2025 | loss: 0.0311638 | val_loss: 0.0311651 | Time: 2659.17 ms [2021-06-03 10:04:23 main:574] : INFO : Epoch 2026 | loss: 0.0311597 | val_loss: 0.0311657 | Time: 2256.54 ms [2021-06-03 10:04:26 main:574] : INFO : Epoch 2027 | loss: 0.0311586 | val_loss: 0.0311637 | Time: 3104.92 ms [2021-06-03 10:04:28 main:574] : INFO : Epoch 2028 | loss: 0.0311596 | val_loss: 0.031169 | Time: 2607.31 ms [2021-06-03 10:04:31 main:574] : INFO : Epoch 2029 | loss: 0.0311611 | val_loss: 0.0311644 | Time: 2299.52 ms [2021-06-03 10:04:33 main:574] : INFO : Epoch 2030 | loss: 0.0311605 | val_loss: 0.0311657 | Time: 2657.93 ms [2021-06-03 10:04:36 main:574] : INFO : Epoch 2031 | loss: 0.0311636 | val_loss: 0.0311642 | Time: 2574.97 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: Quadro P2000) [2021-06-03 10:07:38 main:435] : INFO : Set logging level to 1 [2021-06-03 10:07:38 main:441] : INFO : Running in BOINC Client mode [2021-06-03 10:07:38 main:444] : INFO : Resolving all filenames [2021-06-03 10:07:38 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 (exists = 1) [2021-06-03 10:07:38 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1619579783-6121-2_0_r358592200_1 (exists = 1) [2021-06-03 10:07:38 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1619579783-6121-2_0_r358592200_0 (exists = 0) [2021-06-03 10:07:38 main:452] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1619579783-6121-2 (exists = 1) [2021-06-03 10:07:38 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2021-06-03 10:07:38 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 [2021-06-03 10:07:38 main:474] : INFO : Configuration: [2021-06-03 10:07:38 main:475] : INFO : Model type: GRU [2021-06-03 10:07:38 main:476] : INFO : Validation Loss Threshold: 0.0001 [2021-06-03 10:07:38 main:477] : INFO : Max Epochs: 2048 [2021-06-03 10:07:38 main:478] : INFO : Batch Size: 128 [2021-06-03 10:07:38 main:479] : INFO : Learning Rate: 0.01 [2021-06-03 10:07:38 main:480] : INFO : Patience: 10 [2021-06-03 10:07:38 main:481] : INFO : Hidden Width: 12 [2021-06-03 10:07:38 main:482] : INFO : # Recurrent Layers: 4 [2021-06-03 10:07:38 main:483] : INFO : # Backend Layers: 4 [2021-06-03 10:07:38 main:484] : INFO : # Threads: 1 [2021-06-03 10:07:38 main:486] : INFO : Preparing Dataset [2021-06-03 10:07:38 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-06-03 10:07:38 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-06-03 10:07:40 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-06-03 10:07:40 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-06-03 10:07:40 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-06-03 10:07:40 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-06-03 10:07:40 main:494] : INFO : Creating Model [2021-06-03 10:07:40 main:507] : INFO : Preparing config file [2021-06-03 10:07:40 main:511] : INFO : Found checkpoint, attempting to load... [2021-06-03 10:07:40 main:512] : INFO : Loading config [2021-06-03 10:07:40 main:514] : INFO : Loading state [2021-06-03 10:07:41 main:559] : INFO : Loading DataLoader into Memory [2021-06-03 10:07:41 main:562] : INFO : Starting Training [2021-06-03 10:07:43 main:574] : INFO : Epoch 1988 | loss: 0.0314181 | val_loss: 0.031258 | Time: 2427.82 ms [2021-06-03 10:07:45 main:574] : INFO : Epoch 1989 | loss: 0.031259 | val_loss: 0.0312389 | Time: 2266.96 ms [2021-06-03 10:07:48 main:574] : INFO : Epoch 1990 | loss: 0.031228 | val_loss: 0.0312105 | Time: 2293.56 ms [2021-06-03 10:07:50 main:574] : INFO : Epoch 1991 | loss: 0.0311855 | val_loss: 0.0311756 | Time: 2564.82 ms [2021-06-03 10:07:53 main:574] : INFO : Epoch 1992 | loss: 0.0311735 | val_loss: 0.0311725 | Time: 2626.83 ms [2021-06-03 10:07:55 main:574] : INFO : Epoch 1993 | loss: 0.0311737 | val_loss: 0.0311788 | Time: 2327.13 ms [2021-06-03 10:07:58 main:574] : INFO : Epoch 1994 | loss: 0.031171 | val_loss: 0.0311667 | Time: 2644.18 ms [2021-06-03 10:08:00 main:574] : INFO : Epoch 1995 | loss: 0.0311671 | val_loss: 0.0311658 | Time: 2465.91 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: Quadro P2000) [2021-06-03 11:02:12 main:435] : INFO : Set logging level to 1 [2021-06-03 11:02:12 main:441] : INFO : Running in BOINC Client mode [2021-06-03 11:02:12 main:444] : INFO : Resolving all filenames [2021-06-03 11:02:12 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 (exists = 1) [2021-06-03 11:02:12 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1619579783-6121-2_0_r358592200_1 (exists = 1) [2021-06-03 11:02:12 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1619579783-6121-2_0_r358592200_0 (exists = 0) [2021-06-03 11:02:12 main:452] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1619579783-6121-2 (exists = 1) [2021-06-03 11:02:12 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2021-06-03 11:02:12 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 [2021-06-03 11:02:12 main:474] : INFO : Configuration: [2021-06-03 11:02:12 main:475] : INFO : Model type: GRU [2021-06-03 11:02:12 main:476] : INFO : Validation Loss Threshold: 0.0001 [2021-06-03 11:02:12 main:477] : INFO : Max Epochs: 2048 [2021-06-03 11:02:12 main:478] : INFO : Batch Size: 128 [2021-06-03 11:02:12 main:479] : INFO : Learning Rate: 0.01 [2021-06-03 11:02:12 main:480] : INFO : Patience: 10 [2021-06-03 11:02:12 main:481] : INFO : Hidden Width: 12 [2021-06-03 11:02:12 main:482] : INFO : # Recurrent Layers: 4 [2021-06-03 11:02:12 main:483] : INFO : # Backend Layers: 4 [2021-06-03 11:02:12 main:484] : INFO : # Threads: 1 [2021-06-03 11:02:12 main:486] : INFO : Preparing Dataset [2021-06-03 11:02:12 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-06-03 11:02:12 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-06-03 11:02:14 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-06-03 11:02:14 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-06-03 11:02:14 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-06-03 11:02:14 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-06-03 11:02:14 main:494] : INFO : Creating Model [2021-06-03 11:02:14 main:507] : INFO : Preparing config file [2021-06-03 11:02:14 main:511] : INFO : Found checkpoint, attempting to load... [2021-06-03 11:02:14 main:512] : INFO : Loading config [2021-06-03 11:02:14 main:514] : INFO : Loading state [2021-06-03 11:02:14 main:559] : INFO : Loading DataLoader into Memory [2021-06-03 11:02:14 main:562] : INFO : Starting Training [2021-06-03 11:02:17 main:574] : INFO : Epoch 1988 | loss: 0.0314317 | val_loss: 0.0312597 | Time: 2446.19 ms [2021-06-03 11:02:19 main:574] : INFO : Epoch 1989 | loss: 0.0312546 | val_loss: 0.0312339 | Time: 2207.96 ms [2021-06-03 11:02:21 main:574] : INFO : Epoch 1990 | loss: 0.0312177 | val_loss: 0.0311953 | Time: 2304.62 ms [2021-06-03 11:02:24 main:574] : INFO : Epoch 1991 | loss: 0.0311775 | val_loss: 0.0311774 | Time: 2573.02 ms [2021-06-03 11:02:26 main:574] : INFO : Epoch 1992 | loss: 0.0311687 | val_loss: 0.0311701 | Time: 2395.61 ms [2021-06-03 11:02:29 main:574] : INFO : Epoch 1993 | loss: 0.031165 | val_loss: 0.0311702 | Time: 2515.7 ms [2021-06-03 11:02:31 main:574] : INFO : Epoch 1994 | loss: 0.0311665 | val_loss: 0.0311722 | Time: 2343.3 ms [2021-06-03 11:02:34 main:574] : INFO : Epoch 1995 | loss: 0.0311629 | val_loss: 0.0311686 | Time: 2484.12 ms [2021-06-03 11:02:36 main:574] : INFO : Epoch 1996 | loss: 0.0311625 | val_loss: 0.0311714 | Time: 2570.06 ms [2021-06-03 11:02:38 main:574] : INFO : Epoch 1997 | loss: 0.0311676 | val_loss: 0.0311708 | Time: 2271.01 ms [2021-06-03 11:02:41 main:574] : INFO : Epoch 1998 | loss: 0.031168 | val_loss: 0.0311712 | Time: 2440.94 ms [2021-06-03 11:02:43 main:574] : INFO : Epoch 1999 | loss: 0.0311636 | val_loss: 0.0311681 | Time: 2443.53 ms [2021-06-03 11:02:46 main:574] : INFO : Epoch 2000 | loss: 0.0311634 | val_loss: 0.0311836 | Time: 2460.17 ms [2021-06-03 11:02:49 main:574] : INFO : Epoch 2001 | loss: 0.031169 | val_loss: 0.0311729 | Time: 2743.8 ms [2021-06-03 11:02:51 main:574] : INFO : Epoch 2002 | loss: 0.0311615 | val_loss: 0.0311667 | Time: 2339.5 ms [2021-06-03 11:02:53 main:574] : INFO : Epoch 2003 | loss: 0.0311607 | val_loss: 0.0311682 | Time: 2586.85 ms [2021-06-03 11:02:56 main:574] : INFO : Epoch 2004 | loss: 0.0311607 | val_loss: 0.0311669 | Time: 2630.97 ms [2021-06-03 11:02:58 main:574] : INFO : Epoch 2005 | loss: 0.0311628 | val_loss: 0.0311717 | Time: 2303.51 ms [2021-06-03 11:03:01 main:574] : INFO : Epoch 2006 | loss: 0.0311629 | val_loss: 0.0311658 | Time: 2517.5 ms [2021-06-03 11:03:03 main:574] : INFO : Epoch 2007 | loss: 0.0311616 | val_loss: 0.0311658 | Time: 2363.9 ms [2021-06-03 11:03:06 main:574] : INFO : Epoch 2008 | loss: 0.031161 | val_loss: 0.031169 | Time: 2492.06 ms [2021-06-03 11:03:08 main:574] : INFO : Epoch 2009 | loss: 0.0311618 | val_loss: 0.0311699 | Time: 2450.09 ms [2021-06-03 11:03:11 main:574] : INFO : Epoch 2010 | loss: 0.0311606 | val_loss: 0.0311633 | Time: 2332.34 ms [2021-06-03 11:03:13 main:574] : INFO : Epoch 2011 | loss: 0.031159 | val_loss: 0.0311666 | Time: 2697.08 ms [2021-06-03 11:03:16 main:574] : INFO : Epoch 2012 | loss: 0.0311583 | val_loss: 0.0311631 | Time: 2642.02 ms [2021-06-03 11:03:18 main:574] : INFO : Epoch 2013 | loss: 0.0311612 | val_loss: 0.0311708 | Time: 2345.74 ms [2021-06-03 11:03:21 main:574] : INFO : Epoch 2014 | loss: 0.0311598 | val_loss: 0.0311653 | Time: 2663.15 ms [2021-06-03 11:03:23 main:574] : INFO : Epoch 2015 | loss: 0.0311571 | val_loss: 0.0311647 | Time: 2312.15 ms [2021-06-03 11:03:26 main:574] : INFO : Epoch 2016 | loss: 0.0311578 | val_loss: 0.0311643 | Time: 2613.72 ms [2021-06-03 11:03:29 main:574] : INFO : Epoch 2017 | loss: 0.0311574 | val_loss: 0.031164 | Time: 2724.18 ms [2021-06-03 11:03:31 main:574] : INFO : Epoch 2018 | loss: 0.0311559 | val_loss: 0.0311697 | Time: 2259 ms [2021-06-03 11:03:34 main:574] : INFO : Epoch 2019 | loss: 0.03116 | val_loss: 0.0311652 | Time: 2732.04 ms [2021-06-03 11:03:36 main:574] : INFO : Epoch 2020 | loss: 0.031161 | val_loss: 0.0311658 | Time: 2709.8 ms [2021-06-03 11:03:39 main:574] : INFO : Epoch 2021 | loss: 0.0311637 | val_loss: 0.0311652 | Time: 2273.28 ms [2021-06-03 11:03:41 main:574] : INFO : Epoch 2022 | loss: 0.0311574 | val_loss: 0.0311643 | Time: 2788.53 ms [2021-06-03 11:03:44 main:574] : INFO : Epoch 2023 | loss: 0.0311585 | val_loss: 0.0311646 | Time: 2607.89 ms [2021-06-03 11:03:46 main:574] : INFO : Epoch 2024 | loss: 0.0311575 | val_loss: 0.0311692 | Time: 2301.61 ms [2021-06-03 11:03:49 main:574] : INFO : Epoch 2025 | loss: 0.0311565 | val_loss: 0.0311624 | Time: 2755.41 ms [2021-06-03 11:03:51 main:574] : INFO : Epoch 2026 | loss: 0.0311548 | val_loss: 0.0311664 | Time: 2390.94 ms [2021-06-03 11:03:54 main:574] : INFO : Epoch 2027 | loss: 0.0311557 | val_loss: 0.031165 | Time: 2692.98 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: Quadro P2000) [2021-06-03 11:48:15 main:435] : INFO : Set logging level to 1 [2021-06-03 11:48:15 main:441] : INFO : Running in BOINC Client mode [2021-06-03 11:48:15 main:444] : INFO : Resolving all filenames [2021-06-03 11:48:15 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 (exists = 1) [2021-06-03 11:48:15 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1619579783-6121-2_0_r358592200_1 (exists = 1) [2021-06-03 11:48:15 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1619579783-6121-2_0_r358592200_0 (exists = 0) [2021-06-03 11:48:15 main:452] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1619579783-6121-2 (exists = 1) [2021-06-03 11:48:15 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2021-06-03 11:48:15 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 [2021-06-03 11:48:15 main:474] : INFO : Configuration: [2021-06-03 11:48:15 main:475] : INFO : Model type: GRU [2021-06-03 11:48:15 main:476] : INFO : Validation Loss Threshold: 0.0001 [2021-06-03 11:48:15 main:477] : INFO : Max Epochs: 2048 [2021-06-03 11:48:15 main:478] : INFO : Batch Size: 128 [2021-06-03 11:48:15 main:479] : INFO : Learning Rate: 0.01 [2021-06-03 11:48:15 main:480] : INFO : Patience: 10 [2021-06-03 11:48:15 main:481] : INFO : Hidden Width: 12 [2021-06-03 11:48:15 main:482] : INFO : # Recurrent Layers: 4 [2021-06-03 11:48:15 main:483] : INFO : # Backend Layers: 4 [2021-06-03 11:48:15 main:484] : INFO : # Threads: 1 [2021-06-03 11:48:15 main:486] : INFO : Preparing Dataset [2021-06-03 11:48:15 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-06-03 11:48:15 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-06-03 11:48:17 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-06-03 11:48:17 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-06-03 11:48:17 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-06-03 11:48:17 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-06-03 11:48:17 main:494] : INFO : Creating Model [2021-06-03 11:48:17 main:507] : INFO : Preparing config file [2021-06-03 11:48:17 main:511] : INFO : Found checkpoint, attempting to load... [2021-06-03 11:48:17 main:512] : INFO : Loading config [2021-06-03 11:48:17 main:514] : INFO : Loading state [2021-06-03 11:48:18 main:559] : INFO : Loading DataLoader into Memory [2021-06-03 11:48:18 main:562] : INFO : Starting Training [2021-06-03 11:48:20 main:574] : INFO : Epoch 1988 | loss: 0.0314149 | val_loss: 0.031262 | Time: 2625.88 ms [2021-06-03 11:48:23 main:574] : INFO : Epoch 1989 | loss: 0.031254 | val_loss: 0.0312386 | Time: 2259.16 ms [2021-06-03 11:48:25 main:574] : INFO : Epoch 1990 | loss: 0.0312219 | val_loss: 0.0311995 | Time: 2221.02 ms [2021-06-03 11:48:28 main:574] : INFO : Epoch 1991 | loss: 0.031177 | val_loss: 0.031173 | Time: 2700.58 ms [2021-06-03 11:48:30 main:574] : INFO : Epoch 1992 | loss: 0.0311668 | val_loss: 0.031167 | Time: 2398.2 ms [2021-06-03 11:48:33 main:574] : INFO : Epoch 1993 | loss: 0.0311629 | val_loss: 0.0311658 | Time: 2804.03 ms [2021-06-03 11:48:35 main:574] : INFO : Epoch 1994 | loss: 0.031165 | val_loss: 0.0311656 | Time: 2702.16 ms [2021-06-03 11:48:38 main:574] : INFO : Epoch 1995 | loss: 0.0311623 | val_loss: 0.0311642 | Time: 2445.78 ms [2021-06-03 11:48:41 main:574] : INFO : Epoch 1996 | loss: 0.0311607 | val_loss: 0.031163 | Time: 2887.92 ms [2021-06-03 11:48:43 main:574] : INFO : Epoch 1997 | loss: 0.0311605 | val_loss: 0.0311663 | Time: 2688.66 ms [2021-06-03 11:48:46 main:574] : INFO : Epoch 1998 | loss: 0.031161 | val_loss: 0.0311648 | Time: 2325.73 ms [2021-06-03 11:48:49 main:574] : INFO : Epoch 1999 | loss: 0.0311599 | val_loss: 0.0311636 | Time: 2782.58 ms [2021-06-03 11:48:51 main:574] : INFO : Epoch 2000 | loss: 0.0311591 | val_loss: 0.0311639 | Time: 2594.69 ms [2021-06-03 11:48:53 main:574] : INFO : Epoch 2001 | loss: 0.0311591 | val_loss: 0.031164 | Time: 2272.06 ms [2021-06-03 11:48:56 main:574] : INFO : Epoch 2002 | loss: 0.0311618 | val_loss: 0.0311621 | Time: 2624.85 ms [2021-06-03 11:48:59 main:574] : INFO : Epoch 2003 | loss: 0.0311614 | val_loss: 0.0311617 | Time: 2431.08 ms [2021-06-03 11:49:01 main:574] : INFO : Epoch 2004 | loss: 0.0311637 | val_loss: 0.0311704 | Time: 2428.12 ms [2021-06-03 11:49:04 main:574] : INFO : Epoch 2005 | loss: 0.0311616 | val_loss: 0.0311609 | Time: 2672.43 ms [2021-06-03 11:49:06 main:574] : INFO : Epoch 2006 | loss: 0.0311594 | val_loss: 0.0311626 | Time: 2248.51 ms [2021-06-03 11:49:08 main:574] : INFO : Epoch 2007 | loss: 0.0311576 | val_loss: 0.0311596 | Time: 2551.83 ms [2021-06-03 11:49:11 main:574] : INFO : Epoch 2008 | loss: 0.0311573 | val_loss: 0.0311626 | Time: 2583.15 ms [2021-06-03 11:49:13 main:574] : INFO : Epoch 2009 | loss: 0.0311613 | val_loss: 0.0311649 | Time: 2271.16 ms [2021-06-03 11:49:16 main:574] : INFO : Epoch 2010 | loss: 0.0311594 | val_loss: 0.0311707 | Time: 2749.36 ms [2021-06-03 11:49:18 main:574] : INFO : Epoch 2011 | loss: 0.0311642 | val_loss: 0.0311667 | Time: 2333.43 ms [2021-06-03 11:49:21 main:574] : INFO : Epoch 2012 | loss: 0.0311631 | val_loss: 0.0311676 | Time: 2550.21 ms [2021-06-03 11:49:24 main:574] : INFO : Epoch 2013 | loss: 0.0311656 | val_loss: 0.0311654 | Time: 2747.2 ms [2021-06-03 11:49:26 main:574] : INFO : Epoch 2014 | loss: 0.0311618 | val_loss: 0.031165 | Time: 2246.91 ms [2021-06-03 11:49:29 main:574] : INFO : Epoch 2015 | loss: 0.0311619 | val_loss: 0.0311677 | Time: 2584.33 ms [2021-06-03 11:49:31 main:574] : INFO : Epoch 2016 | loss: 0.0311645 | val_loss: 0.0311663 | Time: 2729.36 ms [2021-06-03 11:49:34 main:574] : INFO : Epoch 2017 | loss: 0.0311596 | val_loss: 0.0311669 | Time: 2268.84 ms [2021-06-03 11:49:36 main:574] : INFO : Epoch 2018 | loss: 0.031162 | val_loss: 0.031173 | Time: 2627.66 ms [2021-06-03 11:49:39 main:574] : INFO : Epoch 2019 | loss: 0.0311631 | val_loss: 0.0311735 | Time: 2600.13 ms [2021-06-03 11:49:41 main:574] : INFO : Epoch 2020 | loss: 0.0311622 | val_loss: 0.0311656 | Time: 2429.63 ms [2021-06-03 11:49:44 main:574] : INFO : Epoch 2021 | loss: 0.0311617 | val_loss: 0.0311737 | Time: 2637.09 ms [2021-06-03 11:49:46 main:574] : INFO : Epoch 2022 | loss: 0.0311705 | val_loss: 0.0311683 | Time: 2359.03 ms [2021-06-03 11:49:49 main:574] : INFO : Epoch 2023 | loss: 0.0311738 | val_loss: 0.0311747 | Time: 2733.91 ms [2021-06-03 11:49:52 main:574] : INFO : Epoch 2024 | loss: 0.0311685 | val_loss: 0.031178 | Time: 2687.36 ms [2021-06-03 11:49:54 main:574] : INFO : Epoch 2025 | loss: 0.0311648 | val_loss: 0.0311699 | Time: 2282.76 ms [2021-06-03 11:49:57 main:574] : INFO : Epoch 2026 | loss: 0.0311655 | val_loss: 0.0311668 | Time: 2687.91 ms [2021-06-03 11:49:59 main:574] : INFO : Epoch 2027 | loss: 0.0311626 | val_loss: 0.0311683 | Time: 2851.31 ms [2021-06-03 11:50:02 main:574] : INFO : Epoch 2028 | loss: 0.031164 | val_loss: 0.0311664 | Time: 2288.26 ms [2021-06-03 11:50:05 main:574] : INFO : Epoch 2029 | loss: 0.0311615 | val_loss: 0.0311663 | Time: 2732.31 ms [2021-06-03 11:50:07 main:574] : INFO : Epoch 2030 | loss: 0.0311615 | val_loss: 0.0311658 | Time: 2835.97 ms [2021-06-03 11:50:10 main:574] : INFO : Epoch 2031 | loss: 0.0311646 | val_loss: 0.0311711 | Time: 2272.55 ms [2021-06-03 11:50:12 main:574] : INFO : Epoch 2032 | loss: 0.0311627 | val_loss: 0.0311673 | Time: 2587.46 ms [2021-06-03 11:50:15 main:574] : INFO : Epoch 2033 | loss: 0.0311676 | val_loss: 0.031189 | Time: 3187.54 ms [2021-06-03 11:50:18 main:574] : INFO : Epoch 2034 | loss: 0.03117 | val_loss: 0.0311737 | Time: 2295.43 ms [2021-06-03 11:50:20 main:574] : INFO : Epoch 2035 | loss: 0.0311641 | val_loss: 0.0311661 | Time: 2750.45 ms [2021-06-03 11:50:23 main:574] : INFO : Epoch 2036 | loss: 0.0311601 | val_loss: 0.0311666 | Time: 2573.75 ms [2021-06-03 11:50:25 main:574] : INFO : Epoch 2037 | loss: 0.0311601 | val_loss: 0.0311685 | Time: 2439.76 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: Quadro P2000) [2021-06-03 12:19:01 main:435] : INFO : Set logging level to 1 [2021-06-03 12:19:01 main:441] : INFO : Running in BOINC Client mode [2021-06-03 12:19:01 main:444] : INFO : Resolving all filenames [2021-06-03 12:19:01 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 (exists = 1) [2021-06-03 12:19:01 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1619579783-6121-2_0_r358592200_1 (exists = 1) [2021-06-03 12:19:01 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1619579783-6121-2_0_r358592200_0 (exists = 0) [2021-06-03 12:19:01 main:452] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1619579783-6121-2 (exists = 1) [2021-06-03 12:19:01 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2021-06-03 12:19:01 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 [2021-06-03 12:19:01 main:474] : INFO : Configuration: [2021-06-03 12:19:01 main:475] : INFO : Model type: GRU [2021-06-03 12:19:01 main:476] : INFO : Validation Loss Threshold: 0.0001 [2021-06-03 12:19:01 main:477] : INFO : Max Epochs: 2048 [2021-06-03 12:19:01 main:478] : INFO : Batch Size: 128 [2021-06-03 12:19:01 main:479] : INFO : Learning Rate: 0.01 [2021-06-03 12:19:01 main:480] : INFO : Patience: 10 [2021-06-03 12:19:01 main:481] : INFO : Hidden Width: 12 [2021-06-03 12:19:01 main:482] : INFO : # Recurrent Layers: 4 [2021-06-03 12:19:01 main:483] : INFO : # Backend Layers: 4 [2021-06-03 12:19:01 main:484] : INFO : # Threads: 1 [2021-06-03 12:19:01 main:486] : INFO : Preparing Dataset [2021-06-03 12:19:01 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-06-03 12:19:01 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-06-03 12:19:03 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-06-03 12:19:03 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-06-03 12:19:03 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-06-03 12:19:03 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-06-03 12:19:03 main:494] : INFO : Creating Model [2021-06-03 12:19:03 main:507] : INFO : Preparing config file [2021-06-03 12:19:03 main:511] : INFO : Found checkpoint, attempting to load... [2021-06-03 12:19:03 main:512] : INFO : Loading config [2021-06-03 12:19:03 main:514] : INFO : Loading state [2021-06-03 12:19:04 main:559] : INFO : Loading DataLoader into Memory [2021-06-03 12:19:04 main:562] : INFO : Starting Training [2021-06-03 12:19:06 main:574] : INFO : Epoch 1988 | loss: 0.0314173 | val_loss: 0.0312616 | Time: 2432.18 ms [2021-06-03 12:19:08 main:574] : INFO : Epoch 1989 | loss: 0.0312594 | val_loss: 0.0312433 | Time: 2169.73 ms [2021-06-03 12:19:11 main:574] : INFO : Epoch 1990 | loss: 0.0312314 | val_loss: 0.0312141 | Time: 2328.24 ms [2021-06-03 12:19:13 main:574] : INFO : Epoch 1991 | loss: 0.0311907 | val_loss: 0.0311744 | Time: 2269.93 ms [2021-06-03 12:19:16 main:574] : INFO : Epoch 1992 | loss: 0.0311723 | val_loss: 0.0311674 | Time: 2547.37 ms [2021-06-03 12:19:18 main:574] : INFO : Epoch 1993 | loss: 0.0311654 | val_loss: 0.0311706 | Time: 2658.94 ms [2021-06-03 12:19:20 main:574] : INFO : Epoch 1994 | loss: 0.0311638 | val_loss: 0.0311671 | Time: 2241.85 ms [2021-06-03 12:19:23 main:574] : INFO : Epoch 1995 | loss: 0.0311673 | val_loss: 0.0311672 | Time: 2582.46 ms [2021-06-03 12:19:25 main:574] : INFO : Epoch 1996 | loss: 0.0311639 | val_loss: 0.0311684 | Time: 2430.17 ms [2021-06-03 12:19:28 main:574] : INFO : Epoch 1997 | loss: 0.0311652 | val_loss: 0.031167 | Time: 2444.52 ms [2021-06-03 12:19:30 main:574] : INFO : Epoch 1998 | loss: 0.0311646 | val_loss: 0.0311685 | Time: 2573.04 ms [2021-06-03 12:19:33 main:574] : INFO : Epoch 1999 | loss: 0.0311618 | val_loss: 0.0311628 | Time: 2304.8 ms [2021-06-03 12:19:35 main:574] : INFO : Epoch 2000 | loss: 0.0311597 | val_loss: 0.0311667 | Time: 2603.32 ms [2021-06-03 12:19:38 main:574] : INFO : Epoch 2001 | loss: 0.0311607 | val_loss: 0.0311635 | Time: 2429.27 ms [2021-06-03 12:19:40 main:574] : INFO : Epoch 2002 | loss: 0.0311611 | val_loss: 0.0311653 | Time: 2460.26 ms [2021-06-03 12:19:43 main:574] : INFO : Epoch 2003 | loss: 0.0311614 | val_loss: 0.0311663 | Time: 2605.77 ms [2021-06-03 12:19:45 main:574] : INFO : Epoch 2004 | loss: 0.0311628 | val_loss: 0.0311651 | Time: 2219.03 ms [2021-06-03 12:19:48 main:574] : INFO : Epoch 2005 | loss: 0.0311634 | val_loss: 0.0311656 | Time: 2673.64 ms [2021-06-03 12:19:50 main:574] : INFO : Epoch 2006 | loss: 0.0311617 | val_loss: 0.0311703 | Time: 2578.96 ms [2021-06-03 12:19:53 main:574] : INFO : Epoch 2007 | loss: 0.0311635 | val_loss: 0.0311689 | Time: 2235.81 ms [2021-06-03 12:19:55 main:574] : INFO : Epoch 2008 | loss: 0.0311715 | val_loss: 0.0311692 | Time: 2670.49 ms [2021-06-03 12:19:58 main:574] : INFO : Epoch 2009 | loss: 0.0311623 | val_loss: 0.0311637 | Time: 2425.71 ms [2021-06-03 12:20:00 main:574] : INFO : Epoch 2010 | loss: 0.0311626 | val_loss: 0.0311676 | Time: 2689.83 ms [2021-06-03 12:20:03 main:574] : INFO : Epoch 2011 | loss: 0.0311624 | val_loss: 0.0311695 | Time: 3064.61 ms [2021-06-03 12:20:06 main:574] : INFO : Epoch 2012 | loss: 0.0311661 | val_loss: 0.0311797 | Time: 2574.17 ms [2021-06-03 12:20:08 main:574] : INFO : Epoch 2013 | loss: 0.0311683 | val_loss: 0.0311734 | Time: 2417.65 ms [2021-06-03 12:20:11 main:574] : INFO : Epoch 2014 | loss: 0.0311613 | val_loss: 0.0311657 | Time: 2765.79 ms [2021-06-03 12:20:14 main:574] : INFO : Epoch 2015 | loss: 0.0311605 | val_loss: 0.0311709 | Time: 2532.66 ms [2021-06-03 12:20:16 main:574] : INFO : Epoch 2016 | loss: 0.0311595 | val_loss: 0.0311625 | Time: 2578.47 ms [2021-06-03 12:20:19 main:574] : INFO : Epoch 2017 | loss: 0.0311591 | val_loss: 0.0311617 | Time: 2713.36 ms [2021-06-03 12:20:21 main:574] : INFO : Epoch 2018 | loss: 0.0311577 | val_loss: 0.0311648 | Time: 2318.77 ms [2021-06-03 12:20:24 main:574] : INFO : Epoch 2019 | loss: 0.0311611 | val_loss: 0.0311645 | Time: 2763.24 ms [2021-06-03 12:20:27 main:574] : INFO : Epoch 2020 | loss: 0.0311592 | val_loss: 0.0311666 | Time: 2733.14 ms [2021-06-03 12:20:29 main:574] : INFO : Epoch 2021 | loss: 0.0311606 | val_loss: 0.0311607 | Time: 2443.43 ms [2021-06-03 12:20:32 main:574] : INFO : Epoch 2022 | loss: 0.0311608 | val_loss: 0.0311741 | Time: 2749.02 ms [2021-06-03 12:20:35 main:574] : INFO : Epoch 2023 | loss: 0.0311681 | val_loss: 0.0311668 | Time: 2668.76 ms [2021-06-03 12:20:37 main:574] : INFO : Epoch 2024 | loss: 0.0311644 | val_loss: 0.031174 | Time: 2362.75 ms [2021-06-03 12:20:40 main:574] : INFO : Epoch 2025 | loss: 0.0311628 | val_loss: 0.0311676 | Time: 2714.78 ms [2021-06-03 12:20:43 main:574] : INFO : Epoch 2026 | loss: 0.0311639 | val_loss: 0.0311672 | Time: 2703.87 ms [2021-06-03 12:20:45 main:574] : INFO : Epoch 2027 | loss: 0.031168 | val_loss: 0.0311851 | Time: 2354.06 ms [2021-06-03 12:20:48 main:574] : INFO : Epoch 2028 | loss: 0.0311679 | val_loss: 0.0311713 | Time: 2759.55 ms [2021-06-03 12:20:51 main:574] : INFO : Epoch 2029 | loss: 0.0311671 | val_loss: 0.031167 | Time: 2826.27 ms [2021-06-03 12:20:53 main:574] : INFO : Epoch 2030 | loss: 0.0311652 | val_loss: 0.0311665 | Time: 2342.95 ms [2021-06-03 12:20:56 main:574] : INFO : Epoch 2031 | loss: 0.0311639 | val_loss: 0.0311824 | Time: 2674.25 ms [2021-06-03 12:20:58 main:574] : INFO : Epoch 2032 | loss: 0.0311635 | val_loss: 0.0311678 | Time: 2641.73 ms [2021-06-03 12:21:01 main:574] : INFO : Epoch 2033 | loss: 0.0311607 | val_loss: 0.0311621 | Time: 2971.57 ms [2021-06-03 12:21:04 main:574] : INFO : Epoch 2034 | loss: 0.0311608 | val_loss: 0.0311632 | Time: 3012.43 ms [2021-06-03 12:21:07 main:574] : INFO : Epoch 2035 | loss: 0.0311677 | val_loss: 0.0311859 | Time: 2905.71 ms [2021-06-03 12:21:09 main:574] : INFO : Epoch 2036 | loss: 0.0311843 | val_loss: 0.0311772 | Time: 2336.7 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: Quadro P2000) [2021-06-03 12:24:14 main:435] : INFO : Set logging level to 1 [2021-06-03 12:24:14 main:441] : INFO : Running in BOINC Client mode [2021-06-03 12:24:14 main:444] : INFO : Resolving all filenames [2021-06-03 12:24:14 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 (exists = 1) [2021-06-03 12:24:14 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1619579783-6121-2_0_r358592200_1 (exists = 1) [2021-06-03 12:24:14 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1619579783-6121-2_0_r358592200_0 (exists = 0) [2021-06-03 12:24:14 main:452] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1619579783-6121-2 (exists = 1) [2021-06-03 12:24:14 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2021-06-03 12:24:14 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 [2021-06-03 12:24:14 main:474] : INFO : Configuration: [2021-06-03 12:24:14 main:475] : INFO : Model type: GRU [2021-06-03 12:24:14 main:476] : INFO : Validation Loss Threshold: 0.0001 [2021-06-03 12:24:14 main:477] : INFO : Max Epochs: 2048 [2021-06-03 12:24:14 main:478] : INFO : Batch Size: 128 [2021-06-03 12:24:14 main:479] : INFO : Learning Rate: 0.01 [2021-06-03 12:24:14 main:480] : INFO : Patience: 10 [2021-06-03 12:24:14 main:481] : INFO : Hidden Width: 12 [2021-06-03 12:24:14 main:482] : INFO : # Recurrent Layers: 4 [2021-06-03 12:24:14 main:483] : INFO : # Backend Layers: 4 [2021-06-03 12:24:14 main:484] : INFO : # Threads: 1 [2021-06-03 12:24:14 main:486] : INFO : Preparing Dataset [2021-06-03 12:24:14 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-06-03 12:24:14 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-06-03 12:24:16 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-06-03 12:24:16 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-06-03 12:24:16 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-06-03 12:24:17 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-06-03 12:24:17 main:494] : INFO : Creating Model [2021-06-03 12:24:17 main:507] : INFO : Preparing config file [2021-06-03 12:24:17 main:511] : INFO : Found checkpoint, attempting to load... [2021-06-03 12:24:17 main:512] : INFO : Loading config [2021-06-03 12:24:17 main:514] : INFO : Loading state [2021-06-03 12:24:17 main:559] : INFO : Loading DataLoader into Memory [2021-06-03 12:24:17 main:562] : INFO : Starting Training [2021-06-03 12:24:20 main:574] : INFO : Epoch 1988 | loss: 0.0314241 | val_loss: 0.0312592 | Time: 2487.96 ms [2021-06-03 12:24:22 main:574] : INFO : Epoch 1989 | loss: 0.0312581 | val_loss: 0.0312354 | Time: 2213.07 ms [2021-06-03 12:24:24 main:574] : INFO : Epoch 1990 | loss: 0.0312195 | val_loss: 0.0311955 | Time: 2348.57 ms [2021-06-03 12:24:26 main:574] : INFO : Epoch 1991 | loss: 0.0311762 | val_loss: 0.0311767 | Time: 2272.24 ms [2021-06-03 12:24:29 main:574] : INFO : Epoch 1992 | loss: 0.0311684 | val_loss: 0.0311686 | Time: 2616.49 ms [2021-06-03 12:24:32 main:574] : INFO : Epoch 1993 | loss: 0.0311661 | val_loss: 0.0311693 | Time: 2656.73 ms [2021-06-03 12:24:34 main:574] : INFO : Epoch 1994 | loss: 0.0311655 | val_loss: 0.0311693 | Time: 2293.68 ms [2021-06-03 12:24:37 main:574] : INFO : Epoch 1995 | loss: 0.0311643 | val_loss: 0.031167 | Time: 2590.52 ms [2021-06-03 12:24:39 main:574] : INFO : Epoch 1996 | loss: 0.0311645 | val_loss: 0.0311683 | Time: 2445.71 ms [2021-06-03 12:24:42 main:574] : INFO : Epoch 1997 | loss: 0.0311676 | val_loss: 0.0311781 | Time: 2458.08 ms [2021-06-03 12:24:44 main:574] : INFO : Epoch 1998 | loss: 0.0311662 | val_loss: 0.0311677 | Time: 2723.47 ms [2021-06-03 12:24:47 main:574] : INFO : Epoch 1999 | loss: 0.0311648 | val_loss: 0.0311678 | Time: 2330.81 ms [2021-06-03 12:24:49 main:574] : INFO : Epoch 2000 | loss: 0.0311619 | val_loss: 0.0311676 | Time: 2630.18 ms [2021-06-03 12:24:52 main:574] : INFO : Epoch 2001 | loss: 0.0311626 | val_loss: 0.0311779 | Time: 2617.42 ms [2021-06-03 12:24:54 main:574] : INFO : Epoch 2002 | loss: 0.0311615 | val_loss: 0.0311681 | Time: 2283.93 ms [2021-06-03 12:24:57 main:574] : INFO : Epoch 2003 | loss: 0.0311601 | val_loss: 0.0311677 | Time: 2615.1 ms [2021-06-03 12:24:59 main:574] : INFO : Epoch 2004 | loss: 0.0311618 | val_loss: 0.0311694 | Time: 2487.86 ms [2021-06-03 12:25:02 main:574] : INFO : Epoch 2005 | loss: 0.0311653 | val_loss: 0.0311767 | Time: 2458.69 ms [2021-06-03 12:25:04 main:574] : INFO : Epoch 2006 | loss: 0.0311676 | val_loss: 0.0311667 | Time: 2628.04 ms [2021-06-03 12:25:07 main:574] : INFO : Epoch 2007 | loss: 0.0311639 | val_loss: 0.0311656 | Time: 2267.97 ms [2021-06-03 12:25:09 main:574] : INFO : Epoch 2008 | loss: 0.0311635 | val_loss: 0.0311816 | Time: 2638.92 ms [2021-06-03 12:25:12 main:574] : INFO : Epoch 2009 | loss: 0.0311713 | val_loss: 0.0311664 | Time: 2640.37 ms [2021-06-03 12:25:15 main:574] : INFO : Epoch 2010 | loss: 0.0311628 | val_loss: 0.0311686 | Time: 2719.42 ms [2021-06-03 12:25:17 main:574] : INFO : Epoch 2011 | loss: 0.0311624 | val_loss: 0.0311652 | Time: 2650.51 ms [2021-06-03 12:25:20 main:574] : INFO : Epoch 2012 | loss: 0.0311645 | val_loss: 0.0311812 | Time: 2637.86 ms [2021-06-03 12:25:22 main:574] : INFO : Epoch 2013 | loss: 0.031169 | val_loss: 0.0311665 | Time: 2338.64 ms [2021-06-03 12:25:25 main:574] : INFO : Epoch 2014 | loss: 0.0311668 | val_loss: 0.0311651 | Time: 2682.94 ms [2021-06-03 12:25:28 main:574] : INFO : Epoch 2015 | loss: 0.0311623 | val_loss: 0.0311687 | Time: 2658.17 ms [2021-06-03 12:25:30 main:574] : INFO : Epoch 2016 | loss: 0.031161 | val_loss: 0.0311689 | Time: 2414.79 ms [2021-06-03 12:25:33 main:574] : INFO : Epoch 2017 | loss: 0.0311645 | val_loss: 0.031168 | Time: 2681.77 ms [2021-06-03 12:25:36 main:574] : INFO : Epoch 2018 | loss: 0.0311659 | val_loss: 0.0311706 | Time: 2704.83 ms [2021-06-03 12:25:38 main:574] : INFO : Epoch 2019 | loss: 0.0311675 | val_loss: 0.0311709 | Time: 2358.07 ms [2021-06-03 12:25:41 main:574] : INFO : Epoch 2020 | loss: 0.0311639 | val_loss: 0.0311695 | Time: 2879.37 ms [2021-06-03 12:25:44 main:574] : INFO : Epoch 2021 | loss: 0.0311662 | val_loss: 0.0311693 | Time: 2745.31 ms [2021-06-03 12:25:46 main:574] : INFO : Epoch 2022 | loss: 0.0311654 | val_loss: 0.0311747 | Time: 2383.52 ms [2021-06-03 12:25:49 main:574] : INFO : Epoch 2023 | loss: 0.0311665 | val_loss: 0.031173 | Time: 2688.47 ms [2021-06-03 12:25:51 main:574] : INFO : Epoch 2024 | loss: 0.0311647 | val_loss: 0.0311697 | Time: 2529.33 ms [2021-06-03 12:25:54 main:574] : INFO : Epoch 2025 | loss: 0.0311598 | val_loss: 0.0311682 | Time: 2583.06 ms [2021-06-03 12:25:57 main:574] : INFO : Epoch 2026 | loss: 0.0311588 | val_loss: 0.0311674 | Time: 2773.66 ms [2021-06-03 12:25:59 main:574] : INFO : Epoch 2027 | loss: 0.0311603 | val_loss: 0.031172 | Time: 2346.64 ms [2021-06-03 12:26:02 main:574] : INFO : Epoch 2028 | loss: 0.0311596 | val_loss: 0.0311675 | Time: 2724.98 ms [2021-06-03 12:26:04 main:574] : INFO : Epoch 2029 | loss: 0.0311589 | val_loss: 0.0311672 | Time: 2850.6 ms [2021-06-03 12:26:07 main:574] : INFO : Epoch 2030 | loss: 0.0311617 | val_loss: 0.0311744 | Time: 2260.35 ms [2021-06-03 12:26:09 main:574] : INFO : Epoch 2031 | loss: 0.0311622 | val_loss: 0.0311736 | Time: 2747.02 ms [2021-06-03 12:26:12 main:574] : INFO : Epoch 2032 | loss: 0.0311625 | val_loss: 0.0311738 | Time: 2780.98 ms [2021-06-03 12:26:15 main:574] : INFO : Epoch 2033 | loss: 0.0311612 | val_loss: 0.0311696 | Time: 2402.34 ms [2021-06-03 12:26:18 main:574] : INFO : Epoch 2034 | loss: 0.0311617 | val_loss: 0.0311679 | Time: 2854.17 ms [2021-06-03 12:26:20 main:574] : INFO : Epoch 2035 | loss: 0.0311648 | val_loss: 0.0311688 | Time: 2764.96 ms [2021-06-03 12:26:23 main:574] : INFO : Epoch 2036 | loss: 0.0311611 | val_loss: 0.0311657 | Time: 2277.77 ms [2021-06-03 12:26:25 main:574] : INFO : Epoch 2037 | loss: 0.0311611 | val_loss: 0.0311655 | Time: 2646.86 ms [2021-06-03 12:26:28 main:574] : INFO : Epoch 2038 | loss: 0.0311602 | val_loss: 0.0311706 | Time: 2811.76 ms [2021-06-03 12:26:30 main:574] : INFO : Epoch 2039 | loss: 0.0311624 | val_loss: 0.0311691 | Time: 2295.87 ms [2021-06-03 12:26:33 main:574] : INFO : Epoch 2040 | loss: 0.0311591 | val_loss: 0.0311655 | Time: 2917.35 ms [2021-06-03 12:26:36 main:574] : INFO : Epoch 2041 | loss: 0.0311585 | val_loss: 0.0311696 | Time: 2637.11 ms [2021-06-03 12:26:38 main:574] : INFO : Epoch 2042 | loss: 0.031158 | val_loss: 0.0311673 | Time: 2554.07 ms [2021-06-03 12:26:41 main:574] : INFO : Epoch 2043 | loss: 0.031157 | val_loss: 0.0311655 | Time: 2795.02 ms [2021-06-03 12:26:44 main:574] : INFO : Epoch 2044 | loss: 0.0311559 | val_loss: 0.031165 | Time: 2662.06 ms [2021-06-03 12:26:46 main:574] : INFO : Epoch 2045 | loss: 0.0311556 | val_loss: 0.0311667 | Time: 2282.31 ms [2021-06-03 12:26:49 main:574] : INFO : Epoch 2046 | loss: 0.0311554 | val_loss: 0.0311726 | Time: 2753.18 ms [2021-06-03 12:26:51 main:574] : INFO : Epoch 2047 | loss: 0.0311591 | val_loss: 0.0311849 | Time: 2419.94 ms [2021-06-03 12:26:54 main:574] : INFO : Epoch 2048 | loss: 0.0311581 | val_loss: 0.0311661 | Time: 2641.36 ms [2021-06-03 12:26:54 main:597] : INFO : Saving trained model to model-final.pt, val_loss 0.0311661 [2021-06-03 12:26:54 main:603] : INFO : Saving end state to config to file [2021-06-03 12:26:54 main:608] : INFO : Success, exiting.. 12:26:54 (26516): 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)