| Name | ParityModified-1607233780-3854-50_1 |
| Workunit | 3079492 |
| Created | 1 May 2021, 17:47:42 UTC |
| Sent | 1 May 2021, 18:26:58 UTC |
| Report deadline | 8 May 2021, 18:26:58 UTC |
| Received | 2 May 2021, 13:31:39 UTC |
| Server state | Over |
| Outcome | Validate error |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 11140 |
| Run time | 40 min 37 sec |
| CPU time | |
| Validate state | Invalid |
| Credit | 0.00 |
| Device peak FLOPS | 13,358.80 GFLOPS |
| Application version | Machine Learning Dataset Generator (test) v9.80 (amdrocm) x86_64-pc-linux-gnu |
| Peak working set size | 1.43 GB |
| Peak swap size | 8.06 GB |
| Peak disk usage | 2.25 GB |
<core_client_version>7.16.16</core_client_version> <![CDATA[ <stderr_txt> DEBUG: Args: ../../projects/www.mlcathome.org_mlcathome/mlds-gpu_9.80_x86_64-pc-linux-gnu__rocm -c --maxepoch 128 nthreads: 1 gpudev: 0 Re-exec()-ing to set environment correctly 08:50:54 (2874814): start_timer_thread(): pthread_create(): 22Machine Learning Dataset Generator v9.80 (Linux/x86_64) (libTorch: release/1.7 GPU: Vega 10 XL/XT [Radeon RX Vega 56/64]) [2021-05-02 08:50:54 main:442] : INFO : Set logging level to 1 [2021-05-02 08:50:54 main:448] : INFO : Running in BOINC Client mode [2021-05-02 08:50:54 main:451] : INFO : Resolving all filenames [2021-05-02 08:50:54 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1) [2021-05-02 08:50:54 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233780-3854-50_1_r1155789329_1 (exists = 0) [2021-05-02 08:50:54 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233780-3854-50_1_r1155789329_0 (exists = 0) [2021-05-02 08:50:54 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233780-3854-50 (exists = 1) [2021-05-02 08:50:54 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2021-05-02 08:50:54 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 [2021-05-02 08:50:54 main:481] : INFO : Configuration: [2021-05-02 08:50:54 main:482] : INFO : Model type: GRU [2021-05-02 08:50:54 main:483] : INFO : Validation Loss Threshold: 0.0001 [2021-05-02 08:50:54 main:484] : INFO : Max Epochs: 128 [2021-05-02 08:50:54 main:485] : INFO : Batch Size: 128 [2021-05-02 08:50:54 main:486] : INFO : Learning Rate: 0.01 [2021-05-02 08:50:54 main:487] : INFO : Patience: 10 [2021-05-02 08:50:54 main:488] : INFO : Hidden Width: 12 [2021-05-02 08:50:54 main:489] : INFO : # Recurrent Layers: 4 [2021-05-02 08:50:54 main:490] : INFO : # Backend Layers: 4 [2021-05-02 08:50:54 main:491] : INFO : # Threads: 1 [2021-05-02 08:50:54 main:493] : INFO : Preparing Dataset [2021-05-02 08:50:54 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-05-02 08:50:54 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-05-02 08:50:55 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-05-02 08:50:55 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-05-02 08:50:55 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-05-02 08:50:55 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-05-02 08:50:55 main:501] : INFO : Creating Model [2021-05-02 08:50:55 main:514] : INFO : Preparing config file [2021-05-02 08:50:55 main:526] : INFO : Creating new config file [2021-05-02 08:50:55 main:545] : INFO : This is a continuation WU, loading previous network [2021-05-02 08:50:55 main:566] : INFO : Loading DataLoader into Memory [2021-05-02 08:50:55 main:569] : INFO : Starting Training [2021-05-02 08:51:19 main:581] : INFO : Epoch 1 | loss: 0.0311983 | val_loss: 0.0311805 | Time: 24060.1 ms [2021-05-02 08:51:38 main:581] : INFO : Epoch 2 | loss: 0.0311761 | val_loss: 0.0311772 | Time: 18971.7 ms [2021-05-02 08:51:57 main:581] : INFO : Epoch 3 | loss: 0.0311736 | val_loss: 0.0311765 | Time: 18919.7 ms [2021-05-02 08:52:16 main:581] : INFO : Epoch 4 | loss: 0.0311726 | val_loss: 0.0311776 | Time: 18867.2 ms [2021-05-02 08:52:35 main:581] : INFO : Epoch 5 | loss: 0.0311728 | val_loss: 0.0311767 | Time: 18941.2 ms [2021-05-02 08:52:54 main:581] : INFO : Epoch 6 | loss: 0.0311737 | val_loss: 0.0311755 | Time: 18992 ms [2021-05-02 08:53:13 main:581] : INFO : Epoch 7 | loss: 0.0311712 | val_loss: 0.0311744 | Time: 19145.4 ms [2021-05-02 08:53:32 main:581] : INFO : Epoch 8 | loss: 0.03117 | val_loss: 0.0311717 | Time: 18831.6 ms [2021-05-02 08:53:52 main:581] : INFO : Epoch 9 | loss: 0.0311708 | val_loss: 0.0311754 | Time: 19348.1 ms [2021-05-02 08:54:10 main:581] : INFO : Epoch 10 | loss: 0.031174 | val_loss: 0.031178 | Time: 18948.2 ms [2021-05-02 08:54:29 main:581] : INFO : Epoch 11 | loss: 0.0311761 | val_loss: 0.0311759 | Time: 18886.5 ms [2021-05-02 08:54:48 main:581] : INFO : Epoch 12 | loss: 0.0311753 | val_loss: 0.0311764 | Time: 19014.9 ms [2021-05-02 08:55:07 main:581] : INFO : Epoch 13 | loss: 0.0311766 | val_loss: 0.0311815 | Time: 18977.7 ms [2021-05-02 08:55:26 main:581] : INFO : Epoch 14 | loss: 0.0311773 | val_loss: 0.0311779 | Time: 19033.6 ms [2021-05-02 08:55:45 main:581] : INFO : Epoch 15 | loss: 0.0311736 | val_loss: 0.0311776 | Time: 19016.1 ms [2021-05-02 08:56:04 main:581] : INFO : Epoch 16 | loss: 0.0311738 | val_loss: 0.0311775 | Time: 18954.7 ms [2021-05-02 08:56:23 main:581] : INFO : Epoch 17 | loss: 0.0311729 | val_loss: 0.0311768 | Time: 18950.6 ms [2021-05-02 08:56:42 main:581] : INFO : Epoch 18 | loss: 0.0311716 | val_loss: 0.0311764 | Time: 19081.2 ms [2021-05-02 08:57:01 main:581] : INFO : Epoch 19 | loss: 0.0311715 | val_loss: 0.0311767 | Time: 19104.2 ms [2021-05-02 08:57:20 main:581] : INFO : Epoch 20 | loss: 0.0311716 | val_loss: 0.0311768 | Time: 18922.3 ms [2021-05-02 08:57:39 main:581] : INFO : Epoch 21 | loss: 0.0311709 | val_loss: 0.0311771 | Time: 18890.9 ms [2021-05-02 08:57:58 main:581] : INFO : Epoch 22 | loss: 0.0311725 | val_loss: 0.0311781 | Time: 18993 ms [2021-05-02 08:58:17 main:581] : INFO : Epoch 23 | loss: 0.0311713 | val_loss: 0.0311774 | Time: 19132.7 ms [2021-05-02 08:58:36 main:581] : INFO : Epoch 24 | loss: 0.0311705 | val_loss: 0.0311766 | Time: 18987 ms [2021-05-02 08:58:55 main:581] : INFO : Epoch 25 | loss: 0.0311708 | val_loss: 0.0311768 | Time: 18934.2 ms [2021-05-02 08:59:14 main:581] : INFO : Epoch 26 | loss: 0.0311718 | val_loss: 0.031177 | Time: 18988.9 ms [2021-05-02 08:59:33 main:581] : INFO : Epoch 27 | loss: 0.0311714 | val_loss: 0.0311752 | Time: 18916.3 ms [2021-05-02 08:59:52 main:581] : INFO : Epoch 28 | loss: 0.0311702 | val_loss: 0.0311761 | Time: 18974.7 ms [2021-05-02 09:00:11 main:581] : INFO : Epoch 29 | loss: 0.0311715 | val_loss: 0.0311788 | Time: 19074.7 ms [2021-05-02 09:00:30 main:581] : INFO : Epoch 30 | loss: 0.031172 | val_loss: 0.0311745 | Time: 18874 ms [2021-05-02 09:00:49 main:581] : INFO : Epoch 31 | loss: 0.0311702 | val_loss: 0.0311763 | Time: 18949.9 ms [2021-05-02 09:01:08 main:581] : INFO : Epoch 32 | loss: 0.0311709 | val_loss: 0.0311751 | Time: 19011.2 ms [2021-05-02 09:01:27 main:581] : INFO : Epoch 33 | loss: 0.0311739 | val_loss: 0.0311757 | Time: 18984.7 ms [2021-05-02 09:01:46 main:581] : INFO : Epoch 34 | loss: 0.0311736 | val_loss: 0.0311737 | Time: 19029.3 ms [2021-05-02 09:02:05 main:581] : INFO : Epoch 35 | loss: 0.0311732 | val_loss: 0.0311725 | Time: 18964.3 ms [2021-05-02 09:02:24 main:581] : INFO : Epoch 36 | loss: 0.0311723 | val_loss: 0.0311728 | Time: 18992.5 ms [2021-05-02 09:02:43 main:581] : INFO : Epoch 37 | loss: 0.0311724 | val_loss: 0.0311727 | Time: 18940.4 ms [2021-05-02 09:03:02 main:581] : INFO : Epoch 38 | loss: 0.0311719 | val_loss: 0.0311733 | Time: 18966.2 ms [2021-05-02 09:03:21 main:581] : INFO : Epoch 39 | loss: 0.031171 | val_loss: 0.0311736 | Time: 19012.5 ms [2021-05-02 09:03:40 main:581] : INFO : Epoch 40 | loss: 0.031171 | val_loss: 0.0311731 | Time: 19030.2 ms [2021-05-02 09:03:59 main:581] : INFO : Epoch 41 | loss: 0.0311704 | val_loss: 0.031175 | Time: 18964.7 ms [2021-05-02 09:04:18 main:581] : INFO : Epoch 42 | loss: 0.0311714 | val_loss: 0.0311717 | Time: 19122.5 ms [2021-05-02 09:04:37 main:581] : INFO : Epoch 43 | loss: 0.0311701 | val_loss: 0.031172 | Time: 18994.8 ms [2021-05-02 09:04:56 main:581] : INFO : Epoch 44 | loss: 0.0311724 | val_loss: 0.0311718 | Time: 18872.1 ms [2021-05-02 09:05:15 main:581] : INFO : Epoch 45 | loss: 0.0311768 | val_loss: 0.0311804 | Time: 18951.8 ms [2021-05-02 09:05:34 main:581] : INFO : Epoch 46 | loss: 0.0311803 | val_loss: 0.0311809 | Time: 18943 ms [2021-05-02 09:05:53 main:581] : INFO : Epoch 47 | loss: 0.0311797 | val_loss: 0.0311805 | Time: 18916.1 ms [2021-05-02 09:06:12 main:581] : INFO : Epoch 48 | loss: 0.0311791 | val_loss: 0.0311799 | Time: 18976.9 ms [2021-05-02 09:06:31 main:581] : INFO : Epoch 49 | loss: 0.03118 | val_loss: 0.0311818 | Time: 18933.8 ms [2021-05-02 09:06:50 main:581] : INFO : Epoch 50 | loss: 0.0311794 | val_loss: 0.0311816 | Time: 18965.9 ms [2021-05-02 09:07:09 main:581] : INFO : Epoch 51 | loss: 0.0311795 | val_loss: 0.0311811 | Time: 18983.9 ms [2021-05-02 09:07:28 main:581] : INFO : Epoch 52 | loss: 0.0311781 | val_loss: 0.0311821 | Time: 18935.3 ms [2021-05-02 09:07:47 main:581] : INFO : Epoch 53 | loss: 0.0311777 | val_loss: 0.0311769 | Time: 18995.5 ms [2021-05-02 09:08:06 main:581] : INFO : Epoch 54 | loss: 0.0311756 | val_loss: 0.0311783 | Time: 18962.8 ms [2021-05-02 09:08:25 main:581] : INFO : Epoch 55 | loss: 0.0311753 | val_loss: 0.0311775 | Time: 19067.7 ms [2021-05-02 09:08:44 main:581] : INFO : Epoch 56 | loss: 0.0311768 | val_loss: 0.0311777 | Time: 18958.8 ms [2021-05-02 09:09:02 main:581] : INFO : Epoch 57 | loss: 0.0311789 | val_loss: 0.0311862 | Time: 18864.2 ms [2021-05-02 09:09:22 main:581] : INFO : Epoch 58 | loss: 0.031178 | val_loss: 0.0311816 | Time: 19052.7 ms [2021-05-02 09:09:40 main:581] : INFO : Epoch 59 | loss: 0.031176 | val_loss: 0.0311795 | Time: 18827.3 ms [2021-05-02 09:09:59 main:581] : INFO : Epoch 60 | loss: 0.0311765 | val_loss: 0.031178 | Time: 18895.3 ms [2021-05-02 09:10:18 main:581] : INFO : Epoch 61 | loss: 0.0311758 | val_loss: 0.0311794 | Time: 18862.3 ms [2021-05-02 09:10:37 main:581] : INFO : Epoch 62 | loss: 0.0311768 | val_loss: 0.0311788 | Time: 18889.2 ms [2021-05-02 09:10:56 main:581] : INFO : Epoch 63 | loss: 0.0311752 | val_loss: 0.0311785 | Time: 18920.4 ms [2021-05-02 09:11:15 main:581] : INFO : Epoch 64 | loss: 0.0311749 | val_loss: 0.0311781 | Time: 18973.5 ms [2021-05-02 09:11:34 main:581] : INFO : Epoch 65 | loss: 0.0311732 | val_loss: 0.0311779 | Time: 19004.2 ms [2021-05-02 09:11:53 main:581] : INFO : Epoch 66 | loss: 0.0311754 | val_loss: 0.0311784 | Time: 18977.5 ms [2021-05-02 09:12:12 main:581] : INFO : Epoch 67 | loss: 0.0311733 | val_loss: 0.0311782 | Time: 19016.5 ms [2021-05-02 09:12:31 main:581] : INFO : Epoch 68 | loss: 0.0311742 | val_loss: 0.0311783 | Time: 18985.8 ms [2021-05-02 09:12:50 main:581] : INFO : Epoch 69 | loss: 0.0311751 | val_loss: 0.0311783 | Time: 19000.5 ms [2021-05-02 09:13:09 main:581] : INFO : Epoch 70 | loss: 0.0311751 | val_loss: 0.031179 | Time: 18750.3 ms [2021-05-02 09:13:28 main:581] : INFO : Epoch 71 | loss: 0.0311767 | val_loss: 0.0311786 | Time: 19255.6 ms [2021-05-02 09:13:47 main:581] : INFO : Epoch 72 | loss: 0.0311764 | val_loss: 0.0311797 | Time: 18791.5 ms [2021-05-02 09:14:06 main:581] : INFO : Epoch 73 | loss: 0.0311763 | val_loss: 0.0311776 | Time: 18972.5 ms [2021-05-02 09:14:24 main:581] : INFO : Epoch 74 | loss: 0.0311752 | val_loss: 0.0311761 | Time: 18836.4 ms [2021-05-02 09:14:43 main:581] : INFO : Epoch 75 | loss: 0.0311741 | val_loss: 0.0311762 | Time: 18821.2 ms [2021-05-02 09:15:02 main:581] : INFO : Epoch 76 | loss: 0.0311755 | val_loss: 0.0311782 | Time: 18905.6 ms [2021-05-02 09:15:21 main:581] : INFO : Epoch 77 | loss: 0.0311748 | val_loss: 0.0311773 | Time: 18981.9 ms [2021-05-02 09:15:40 main:581] : INFO : Epoch 78 | loss: 0.031173 | val_loss: 0.0311759 | Time: 18967.1 ms [2021-05-02 09:15:59 main:581] : INFO : Epoch 79 | loss: 0.0311722 | val_loss: 0.0311781 | Time: 19053.3 ms [2021-05-02 09:16:18 main:581] : INFO : Epoch 80 | loss: 0.031173 | val_loss: 0.0311798 | Time: 18957.1 ms [2021-05-02 09:16:37 main:581] : INFO : Epoch 81 | loss: 0.0311739 | val_loss: 0.0311806 | Time: 19084.6 ms [2021-05-02 09:16:56 main:581] : INFO : Epoch 82 | loss: 0.0311748 | val_loss: 0.0311804 | Time: 18853.2 ms [2021-05-02 09:17:15 main:581] : INFO : Epoch 83 | loss: 0.0311726 | val_loss: 0.0311766 | Time: 18931.4 ms [2021-05-02 09:17:34 main:581] : INFO : Epoch 84 | loss: 0.0311744 | val_loss: 0.0311773 | Time: 18902 ms [2021-05-02 09:17:53 main:581] : INFO : Epoch 85 | loss: 0.0311728 | val_loss: 0.0311768 | Time: 18811.8 ms [2021-05-02 09:18:12 main:581] : INFO : Epoch 86 | loss: 0.0311731 | val_loss: 0.0311759 | Time: 18846.3 ms [2021-05-02 09:18:30 main:581] : INFO : Epoch 87 | loss: 0.0311731 | val_loss: 0.0311765 | Time: 18847.5 ms [2021-05-02 09:18:49 main:581] : INFO : Epoch 88 | loss: 0.0311748 | val_loss: 0.0311749 | Time: 18802.9 ms [2021-05-02 09:19:08 main:581] : INFO : Epoch 89 | loss: 0.0311737 | val_loss: 0.031176 | Time: 18855.9 ms [2021-05-02 09:19:27 main:581] : INFO : Epoch 90 | loss: 0.0311743 | val_loss: 0.031176 | Time: 19080.8 ms [2021-05-02 09:19:46 main:581] : INFO : Epoch 91 | loss: 0.0311759 | val_loss: 0.0311762 | Time: 18872.4 ms [2021-05-02 09:20:05 main:581] : INFO : Epoch 92 | loss: 0.0311752 | val_loss: 0.0311765 | Time: 18884.6 ms [2021-05-02 09:20:24 main:581] : INFO : Epoch 93 | loss: 0.0311745 | val_loss: 0.0311746 | Time: 18903.3 ms [2021-05-02 09:20:43 main:581] : INFO : Epoch 94 | loss: 0.0311741 | val_loss: 0.0311746 | Time: 18827.7 ms [2021-05-02 09:21:02 main:581] : INFO : Epoch 95 | loss: 0.0311732 | val_loss: 0.0311745 | Time: 18981.3 ms [2021-05-02 09:21:21 main:581] : INFO : Epoch 96 | loss: 0.0311734 | val_loss: 0.0311747 | Time: 18899.7 ms [2021-05-02 09:21:40 main:581] : INFO : Epoch 97 | loss: 0.0311757 | val_loss: 0.0311788 | Time: 18970.8 ms [2021-05-02 09:21:58 main:581] : INFO : Epoch 98 | loss: 0.03118 | val_loss: 0.0311834 | Time: 18965.6 ms [2021-05-02 09:22:17 main:581] : INFO : Epoch 99 | loss: 0.0311777 | val_loss: 0.0311812 | Time: 18919.9 ms [2021-05-02 09:22:36 main:581] : INFO : Epoch 100 | loss: 0.031175 | val_loss: 0.0311792 | Time: 18905.6 ms [2021-05-02 09:22:55 main:581] : INFO : Epoch 101 | loss: 0.0311769 | val_loss: 0.0311871 | Time: 18941.5 ms [2021-05-02 09:23:14 main:581] : INFO : Epoch 102 | loss: 0.0311828 | val_loss: 0.0311893 | Time: 19007.7 ms [2021-05-02 09:23:33 main:581] : INFO : Epoch 103 | loss: 0.0311848 | val_loss: 0.0311922 | Time: 18858.4 ms [2021-05-02 09:23:52 main:581] : INFO : Epoch 104 | loss: 0.0311882 | val_loss: 0.0311913 | Time: 19044.9 ms [2021-05-02 09:24:11 main:581] : INFO : Epoch 105 | loss: 0.0311865 | val_loss: 0.0311902 | Time: 18867.3 ms [2021-05-02 09:24:30 main:581] : INFO : Epoch 106 | loss: 0.0311854 | val_loss: 0.03119 | Time: 18806.9 ms [2021-05-02 09:24:49 main:581] : INFO : Epoch 107 | loss: 0.0311847 | val_loss: 0.0311909 | Time: 18916 ms [2021-05-02 09:25:08 main:581] : INFO : Epoch 108 | loss: 0.0311852 | val_loss: 0.0311901 | Time: 18901.9 ms [2021-05-02 09:25:27 main:581] : INFO : Epoch 109 | loss: 0.0311867 | val_loss: 0.0311894 | Time: 18975.6 ms [2021-05-02 09:25:46 main:581] : INFO : Epoch 110 | loss: 0.0311842 | val_loss: 0.0311897 | Time: 19014 ms [2021-05-02 09:26:05 main:581] : INFO : Epoch 111 | loss: 0.0311845 | val_loss: 0.0311914 | Time: 18950.5 ms [2021-05-02 09:26:23 main:581] : INFO : Epoch 112 | loss: 0.0311836 | val_loss: 0.0311906 | Time: 18892.6 ms [2021-05-02 09:26:42 main:581] : INFO : Epoch 113 | loss: 0.0311834 | val_loss: 0.0311925 | Time: 18946.8 ms [2021-05-02 09:27:01 main:581] : INFO : Epoch 114 | loss: 0.031184 | val_loss: 0.0311905 | Time: 18982 ms [2021-05-02 09:27:20 main:581] : INFO : Epoch 115 | loss: 0.0311826 | val_loss: 0.03119 | Time: 18884.5 ms [2021-05-02 09:27:39 main:581] : INFO : Epoch 116 | loss: 0.0311825 | val_loss: 0.0311886 | Time: 18923.9 ms [2021-05-02 09:27:58 main:581] : INFO : Epoch 117 | loss: 0.0311823 | val_loss: 0.0311872 | Time: 19111.9 ms [2021-05-02 09:28:17 main:581] : INFO : Epoch 118 | loss: 0.0311831 | val_loss: 0.0311883 | Time: 18853 ms [2021-05-02 09:28:36 main:581] : INFO : Epoch 119 | loss: 0.0311818 | val_loss: 0.031188 | Time: 18877.1 ms [2021-05-02 09:28:55 main:581] : INFO : Epoch 120 | loss: 0.0311821 | val_loss: 0.031189 | Time: 18953.5 ms [2021-05-02 09:29:14 main:581] : INFO : Epoch 121 | loss: 0.0311813 | val_loss: 0.0311877 | Time: 18975.3 ms [2021-05-02 09:29:33 main:581] : INFO : Epoch 122 | loss: 0.0311812 | val_loss: 0.0311886 | Time: 18914.4 ms [2021-05-02 09:29:52 main:581] : INFO : Epoch 123 | loss: 0.0311817 | val_loss: 0.0311891 | Time: 19016.3 ms [2021-05-02 09:30:11 main:581] : INFO : Epoch 124 | loss: 0.0311816 | val_loss: 0.0311889 | Time: 18982.2 ms [2021-05-02 09:30:30 main:581] : INFO : Epoch 125 | loss: 0.031183 | val_loss: 0.0311873 | Time: 19015.9 ms [2021-05-02 09:30:49 main:581] : INFO : Epoch 126 | loss: 0.0311817 | val_loss: 0.0311894 | Time: 18988.5 ms [2021-05-02 09:31:08 main:581] : INFO : Epoch 127 | loss: 0.0311808 | val_loss: 0.0311865 | Time: 18960.7 ms [2021-05-02 09:31:27 main:581] : INFO : Epoch 128 | loss: 0.0311803 | val_loss: 0.031186 | Time: 18954.8 ms [2021-05-02 09:31:27 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.031186 [2021-05-02 09:31:27 main:610] : INFO : Saving end state to config to file [2021-05-02 09:31:27 main:615] : INFO : Success, exiting.. 09:31:27 (2874814): 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)