Task 5113803
| Name | ParityModified-1607233782-3920-41_4 |
| Workunit | 3031131 |
| Created | 28 Apr 2021, 6:01:02 UTC |
| Sent | 1 May 2021, 21:56:05 UTC |
| Report deadline | 8 May 2021, 21:56:05 UTC |
| Received | 2 May 2021, 20:28:08 UTC |
| Server state | Over |
| Outcome | Validate error |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 11140 |
| Run time | 40 min 14 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 |
Stderr output
<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 15:47:40 (208106): 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 15:47:40 main:442] : INFO : Set logging level to 1 [2021-05-02 15:47:40 main:448] : INFO : Running in BOINC Client mode [2021-05-02 15:47:40 main:451] : INFO : Resolving all filenames [2021-05-02 15:47:40 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1) [2021-05-02 15:47:40 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233782-3920-41_4_r909136681_1 (exists = 0) [2021-05-02 15:47:40 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233782-3920-41_4_r909136681_0 (exists = 0) [2021-05-02 15:47:40 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233782-3920-41 (exists = 1) [2021-05-02 15:47:40 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2021-05-02 15:47:40 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 [2021-05-02 15:47:40 main:481] : INFO : Configuration: [2021-05-02 15:47:40 main:482] : INFO : Model type: GRU [2021-05-02 15:47:40 main:483] : INFO : Validation Loss Threshold: 0.0001 [2021-05-02 15:47:40 main:484] : INFO : Max Epochs: 128 [2021-05-02 15:47:40 main:485] : INFO : Batch Size: 128 [2021-05-02 15:47:40 main:486] : INFO : Learning Rate: 0.01 [2021-05-02 15:47:40 main:487] : INFO : Patience: 10 [2021-05-02 15:47:40 main:488] : INFO : Hidden Width: 12 [2021-05-02 15:47:40 main:489] : INFO : # Recurrent Layers: 4 [2021-05-02 15:47:40 main:490] : INFO : # Backend Layers: 4 [2021-05-02 15:47:40 main:491] : INFO : # Threads: 1 [2021-05-02 15:47:40 main:493] : INFO : Preparing Dataset [2021-05-02 15:47:40 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 15:47:40 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 15:47:41 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-05-02 15:47:41 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 15:47:41 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 15:47:41 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-05-02 15:47:41 main:501] : INFO : Creating Model [2021-05-02 15:47:41 main:514] : INFO : Preparing config file [2021-05-02 15:47:41 main:526] : INFO : Creating new config file [2021-05-02 15:47:41 main:545] : INFO : This is a continuation WU, loading previous network [2021-05-02 15:47:41 main:566] : INFO : Loading DataLoader into Memory [2021-05-02 15:47:41 main:569] : INFO : Starting Training [2021-05-02 15:48:04 main:581] : INFO : Epoch 1 | loss: 0.0311411 | val_loss: 0.0312255 | Time: 23136.3 ms [2021-05-02 15:48:23 main:581] : INFO : Epoch 2 | loss: 0.0310886 | val_loss: 0.031242 | Time: 18737.1 ms [2021-05-02 15:48:42 main:581] : INFO : Epoch 3 | loss: 0.0310394 | val_loss: 0.0312558 | Time: 18638.5 ms [2021-05-02 15:49:01 main:581] : INFO : Epoch 4 | loss: 0.0310278 | val_loss: 0.0312634 | Time: 18773.1 ms [2021-05-02 15:49:19 main:581] : INFO : Epoch 5 | loss: 0.0310163 | val_loss: 0.0312852 | Time: 18814.8 ms [2021-05-02 15:49:38 main:581] : INFO : Epoch 6 | loss: 0.0310162 | val_loss: 0.0312491 | Time: 18731.9 ms [2021-05-02 15:49:57 main:581] : INFO : Epoch 7 | loss: 0.0310284 | val_loss: 0.0312639 | Time: 18630.4 ms [2021-05-02 15:50:15 main:581] : INFO : Epoch 8 | loss: 0.0310118 | val_loss: 0.0312634 | Time: 18715.1 ms [2021-05-02 15:50:34 main:581] : INFO : Epoch 9 | loss: 0.0310124 | val_loss: 0.0312677 | Time: 18709 ms [2021-05-02 15:50:53 main:581] : INFO : Epoch 10 | loss: 0.0310134 | val_loss: 0.0312695 | Time: 18698.9 ms [2021-05-02 15:51:11 main:581] : INFO : Epoch 11 | loss: 0.0310198 | val_loss: 0.031249 | Time: 18528.1 ms [2021-05-02 15:51:30 main:581] : INFO : Epoch 12 | loss: 0.0310201 | val_loss: 0.031279 | Time: 18785.5 ms [2021-05-02 15:51:49 main:581] : INFO : Epoch 13 | loss: 0.0310103 | val_loss: 0.0312904 | Time: 18655.5 ms [2021-05-02 15:52:08 main:581] : INFO : Epoch 14 | loss: 0.0310095 | val_loss: 0.0312617 | Time: 18780.5 ms [2021-05-02 15:52:26 main:581] : INFO : Epoch 15 | loss: 0.0310079 | val_loss: 0.0312665 | Time: 18762.6 ms [2021-05-02 15:52:45 main:581] : INFO : Epoch 16 | loss: 0.0310007 | val_loss: 0.0312768 | Time: 18721.8 ms [2021-05-02 15:53:04 main:581] : INFO : Epoch 17 | loss: 0.0310009 | val_loss: 0.0312874 | Time: 18918.4 ms [2021-05-02 15:53:23 main:581] : INFO : Epoch 18 | loss: 0.0310087 | val_loss: 0.0312675 | Time: 18805.7 ms [2021-05-02 15:53:42 main:581] : INFO : Epoch 19 | loss: 0.0310102 | val_loss: 0.0312936 | Time: 18773.7 ms [2021-05-02 15:54:00 main:581] : INFO : Epoch 20 | loss: 0.0310085 | val_loss: 0.0312859 | Time: 18654.4 ms [2021-05-02 15:54:19 main:581] : INFO : Epoch 21 | loss: 0.0310011 | val_loss: 0.0312752 | Time: 18749.5 ms [2021-05-02 15:54:38 main:581] : INFO : Epoch 22 | loss: 0.0310127 | val_loss: 0.0312974 | Time: 18831 ms [2021-05-02 15:54:57 main:581] : INFO : Epoch 23 | loss: 0.0310096 | val_loss: 0.031296 | Time: 18792 ms [2021-05-02 15:55:16 main:581] : INFO : Epoch 24 | loss: 0.0309991 | val_loss: 0.0312998 | Time: 18917.8 ms [2021-05-02 15:55:34 main:581] : INFO : Epoch 25 | loss: 0.0309992 | val_loss: 0.0312773 | Time: 18815.5 ms [2021-05-02 15:55:53 main:581] : INFO : Epoch 26 | loss: 0.0310052 | val_loss: 0.031269 | Time: 18871.6 ms [2021-05-02 15:56:12 main:581] : INFO : Epoch 27 | loss: 0.0310107 | val_loss: 0.0312966 | Time: 18903.7 ms [2021-05-02 15:56:31 main:581] : INFO : Epoch 28 | loss: 0.0310054 | val_loss: 0.0312835 | Time: 18728.4 ms [2021-05-02 15:56:50 main:581] : INFO : Epoch 29 | loss: 0.0310004 | val_loss: 0.0312943 | Time: 18746.7 ms [2021-05-02 15:57:08 main:581] : INFO : Epoch 30 | loss: 0.0309994 | val_loss: 0.0313077 | Time: 18780.2 ms [2021-05-02 15:57:27 main:581] : INFO : Epoch 31 | loss: 0.030996 | val_loss: 0.0312892 | Time: 18709.2 ms [2021-05-02 15:57:46 main:581] : INFO : Epoch 32 | loss: 0.0310028 | val_loss: 0.031278 | Time: 18685.5 ms [2021-05-02 15:58:05 main:581] : INFO : Epoch 33 | loss: 0.031011 | val_loss: 0.0312621 | Time: 18677.5 ms [2021-05-02 15:58:23 main:581] : INFO : Epoch 34 | loss: 0.0309942 | val_loss: 0.0313219 | Time: 18708.8 ms [2021-05-02 15:58:42 main:581] : INFO : Epoch 35 | loss: 0.0310003 | val_loss: 0.0312831 | Time: 18712.5 ms [2021-05-02 15:59:01 main:581] : INFO : Epoch 36 | loss: 0.0309964 | val_loss: 0.031275 | Time: 18774.4 ms [2021-05-02 15:59:19 main:581] : INFO : Epoch 37 | loss: 0.0310018 | val_loss: 0.031297 | Time: 18707 ms [2021-05-02 15:59:38 main:581] : INFO : Epoch 38 | loss: 0.031007 | val_loss: 0.0312684 | Time: 18730.5 ms [2021-05-02 15:59:57 main:581] : INFO : Epoch 39 | loss: 0.0310085 | val_loss: 0.0312927 | Time: 18843.3 ms [2021-05-02 16:00:16 main:581] : INFO : Epoch 40 | loss: 0.0310057 | val_loss: 0.0312922 | Time: 18713.5 ms [2021-05-02 16:00:35 main:581] : INFO : Epoch 41 | loss: 0.0309993 | val_loss: 0.0312768 | Time: 19100 ms [2021-05-02 16:00:54 main:581] : INFO : Epoch 42 | loss: 0.0310047 | val_loss: 0.031289 | Time: 18714.1 ms [2021-05-02 16:01:12 main:581] : INFO : Epoch 43 | loss: 0.0309999 | val_loss: 0.031284 | Time: 18780.1 ms [2021-05-02 16:01:31 main:581] : INFO : Epoch 44 | loss: 0.0310035 | val_loss: 0.0312924 | Time: 18824.7 ms [2021-05-02 16:01:50 main:581] : INFO : Epoch 45 | loss: 0.0310047 | val_loss: 0.031294 | Time: 18868.2 ms [2021-05-02 16:02:09 main:581] : INFO : Epoch 46 | loss: 0.0310113 | val_loss: 0.0312704 | Time: 18726.1 ms [2021-05-02 16:02:27 main:581] : INFO : Epoch 47 | loss: 0.0310281 | val_loss: 0.0312687 | Time: 18757 ms [2021-05-02 16:02:46 main:581] : INFO : Epoch 48 | loss: 0.0310144 | val_loss: 0.0312592 | Time: 18832.2 ms [2021-05-02 16:03:05 main:581] : INFO : Epoch 49 | loss: 0.0310159 | val_loss: 0.0312391 | Time: 18722.4 ms [2021-05-02 16:03:24 main:581] : INFO : Epoch 50 | loss: 0.0310073 | val_loss: 0.0313193 | Time: 18819.6 ms [2021-05-02 16:03:43 main:581] : INFO : Epoch 51 | loss: 0.0310156 | val_loss: 0.0313082 | Time: 18818.4 ms [2021-05-02 16:04:01 main:581] : INFO : Epoch 52 | loss: 0.0310012 | val_loss: 0.0312741 | Time: 18693.8 ms [2021-05-02 16:04:20 main:581] : INFO : Epoch 53 | loss: 0.03101 | val_loss: 0.0312895 | Time: 18733 ms [2021-05-02 16:04:39 main:581] : INFO : Epoch 54 | loss: 0.0310033 | val_loss: 0.0312884 | Time: 18769.8 ms [2021-05-02 16:04:58 main:581] : INFO : Epoch 55 | loss: 0.0310034 | val_loss: 0.0312699 | Time: 18835.3 ms [2021-05-02 16:05:17 main:581] : INFO : Epoch 56 | loss: 0.0310006 | val_loss: 0.0312869 | Time: 18904.8 ms [2021-05-02 16:05:35 main:581] : INFO : Epoch 57 | loss: 0.0310042 | val_loss: 0.031287 | Time: 18629.6 ms [2021-05-02 16:05:54 main:581] : INFO : Epoch 58 | loss: 0.030995 | val_loss: 0.031292 | Time: 18749.3 ms [2021-05-02 16:06:13 main:581] : INFO : Epoch 59 | loss: 0.0310073 | val_loss: 0.0312811 | Time: 18642.1 ms [2021-05-02 16:06:31 main:581] : INFO : Epoch 60 | loss: 0.0310106 | val_loss: 0.0312831 | Time: 18660.2 ms [2021-05-02 16:06:50 main:581] : INFO : Epoch 61 | loss: 0.0310011 | val_loss: 0.0312956 | Time: 18842.5 ms [2021-05-02 16:07:09 main:581] : INFO : Epoch 62 | loss: 0.0309972 | val_loss: 0.0312699 | Time: 18853.2 ms [2021-05-02 16:07:28 main:581] : INFO : Epoch 63 | loss: 0.0309985 | val_loss: 0.0312954 | Time: 18854.3 ms [2021-05-02 16:07:47 main:581] : INFO : Epoch 64 | loss: 0.0310018 | val_loss: 0.0312819 | Time: 18698.4 ms [2021-05-02 16:08:05 main:581] : INFO : Epoch 65 | loss: 0.031001 | val_loss: 0.0312768 | Time: 18778.3 ms [2021-05-02 16:08:24 main:581] : INFO : Epoch 66 | loss: 0.0309954 | val_loss: 0.0313152 | Time: 18707.3 ms [2021-05-02 16:08:43 main:581] : INFO : Epoch 67 | loss: 0.0309945 | val_loss: 0.0313012 | Time: 18763 ms [2021-05-02 16:09:01 main:581] : INFO : Epoch 68 | loss: 0.0310018 | val_loss: 0.0312646 | Time: 18659.7 ms [2021-05-02 16:09:20 main:581] : INFO : Epoch 69 | loss: 0.0310003 | val_loss: 0.0312714 | Time: 18774.8 ms [2021-05-02 16:09:39 main:581] : INFO : Epoch 70 | loss: 0.0309935 | val_loss: 0.0313097 | Time: 18751 ms [2021-05-02 16:09:58 main:581] : INFO : Epoch 71 | loss: 0.0309914 | val_loss: 0.0312756 | Time: 18938.8 ms [2021-05-02 16:10:17 main:581] : INFO : Epoch 72 | loss: 0.0309909 | val_loss: 0.0313075 | Time: 18660.9 ms [2021-05-02 16:10:35 main:581] : INFO : Epoch 73 | loss: 0.0309947 | val_loss: 0.0312818 | Time: 18697.5 ms [2021-05-02 16:10:54 main:581] : INFO : Epoch 74 | loss: 0.0310033 | val_loss: 0.0312842 | Time: 18789.3 ms [2021-05-02 16:11:13 main:581] : INFO : Epoch 75 | loss: 0.0309985 | val_loss: 0.0312824 | Time: 18778.1 ms [2021-05-02 16:11:31 main:581] : INFO : Epoch 76 | loss: 0.0309981 | val_loss: 0.0312922 | Time: 18675.7 ms [2021-05-02 16:11:50 main:581] : INFO : Epoch 77 | loss: 0.0309983 | val_loss: 0.0312871 | Time: 18691.5 ms [2021-05-02 16:12:09 main:581] : INFO : Epoch 78 | loss: 0.0310018 | val_loss: 0.0313028 | Time: 18669.2 ms [2021-05-02 16:12:28 main:581] : INFO : Epoch 79 | loss: 0.0309996 | val_loss: 0.0312987 | Time: 18666 ms [2021-05-02 16:12:46 main:581] : INFO : Epoch 80 | loss: 0.0310066 | val_loss: 0.0312846 | Time: 18826.2 ms [2021-05-02 16:13:05 main:581] : INFO : Epoch 81 | loss: 0.0310281 | val_loss: 0.0312767 | Time: 18727.1 ms [2021-05-02 16:13:24 main:581] : INFO : Epoch 82 | loss: 0.0310253 | val_loss: 0.0312822 | Time: 18699.8 ms [2021-05-02 16:13:43 main:581] : INFO : Epoch 83 | loss: 0.0310194 | val_loss: 0.0312916 | Time: 18931.5 ms [2021-05-02 16:14:01 main:581] : INFO : Epoch 84 | loss: 0.0310043 | val_loss: 0.03127 | Time: 18662.9 ms [2021-05-02 16:14:20 main:581] : INFO : Epoch 85 | loss: 0.0310014 | val_loss: 0.0312924 | Time: 18664 ms [2021-05-02 16:14:39 main:581] : INFO : Epoch 86 | loss: 0.0309981 | val_loss: 0.031278 | Time: 18752.5 ms [2021-05-02 16:14:57 main:581] : INFO : Epoch 87 | loss: 0.031 | val_loss: 0.0312906 | Time: 18658.7 ms [2021-05-02 16:15:16 main:581] : INFO : Epoch 88 | loss: 0.0310071 | val_loss: 0.0312743 | Time: 18623.7 ms [2021-05-02 16:15:35 main:581] : INFO : Epoch 89 | loss: 0.0310036 | val_loss: 0.0313039 | Time: 18804.1 ms [2021-05-02 16:15:54 main:581] : INFO : Epoch 90 | loss: 0.0309958 | val_loss: 0.0312992 | Time: 18731.6 ms [2021-05-02 16:16:12 main:581] : INFO : Epoch 91 | loss: 0.030992 | val_loss: 0.0312828 | Time: 18741.4 ms [2021-05-02 16:16:31 main:581] : INFO : Epoch 92 | loss: 0.0309866 | val_loss: 0.0312722 | Time: 18674.9 ms [2021-05-02 16:16:50 main:581] : INFO : Epoch 93 | loss: 0.0309931 | val_loss: 0.0313074 | Time: 18641.2 ms [2021-05-02 16:17:08 main:581] : INFO : Epoch 94 | loss: 0.0309931 | val_loss: 0.0313024 | Time: 18699.4 ms [2021-05-02 16:17:27 main:581] : INFO : Epoch 95 | loss: 0.0309999 | val_loss: 0.031266 | Time: 18875 ms [2021-05-02 16:17:46 main:581] : INFO : Epoch 96 | loss: 0.0310039 | val_loss: 0.0312746 | Time: 18739.8 ms [2021-05-02 16:18:05 main:581] : INFO : Epoch 97 | loss: 0.0309985 | val_loss: 0.0312826 | Time: 18672.6 ms [2021-05-02 16:18:24 main:581] : INFO : Epoch 98 | loss: 0.0309991 | val_loss: 0.0312765 | Time: 18930.1 ms [2021-05-02 16:18:43 main:581] : INFO : Epoch 99 | loss: 0.0309976 | val_loss: 0.0312939 | Time: 18945.5 ms [2021-05-02 16:19:02 main:581] : INFO : Epoch 100 | loss: 0.030992 | val_loss: 0.0313188 | Time: 18977.5 ms [2021-05-02 16:19:20 main:581] : INFO : Epoch 101 | loss: 0.0310046 | val_loss: 0.0312723 | Time: 18920.9 ms [2021-05-02 16:19:39 main:581] : INFO : Epoch 102 | loss: 0.0310125 | val_loss: 0.0312618 | Time: 18918.1 ms [2021-05-02 16:19:58 main:581] : INFO : Epoch 103 | loss: 0.0310035 | val_loss: 0.0312886 | Time: 19108.7 ms [2021-05-02 16:20:17 main:581] : INFO : Epoch 104 | loss: 0.0309993 | val_loss: 0.0312735 | Time: 19013.9 ms [2021-05-02 16:20:36 main:581] : INFO : Epoch 105 | loss: 0.0310059 | val_loss: 0.0312577 | Time: 18914.4 ms [2021-05-02 16:20:55 main:581] : INFO : Epoch 106 | loss: 0.0310097 | val_loss: 0.0312967 | Time: 18913.5 ms [2021-05-02 16:21:14 main:581] : INFO : Epoch 107 | loss: 0.0310098 | val_loss: 0.0312794 | Time: 19037.2 ms [2021-05-02 16:21:33 main:581] : INFO : Epoch 108 | loss: 0.0310243 | val_loss: 0.031292 | Time: 19044.1 ms [2021-05-02 16:21:52 main:581] : INFO : Epoch 109 | loss: 0.031017 | val_loss: 0.0312886 | Time: 19052.8 ms [2021-05-02 16:22:11 main:581] : INFO : Epoch 110 | loss: 0.0309995 | val_loss: 0.0312908 | Time: 19053.5 ms [2021-05-02 16:22:30 main:581] : INFO : Epoch 111 | loss: 0.0309976 | val_loss: 0.0312741 | Time: 18905.1 ms [2021-05-02 16:22:49 main:581] : INFO : Epoch 112 | loss: 0.0309943 | val_loss: 0.0313029 | Time: 18967.7 ms [2021-05-02 16:23:08 main:581] : INFO : Epoch 113 | loss: 0.0309839 | val_loss: 0.0312892 | Time: 18944.5 ms [2021-05-02 16:23:27 main:581] : INFO : Epoch 114 | loss: 0.0310032 | val_loss: 0.0312703 | Time: 19017.2 ms [2021-05-02 16:23:46 main:581] : INFO : Epoch 115 | loss: 0.0309973 | val_loss: 0.0313168 | Time: 18947.9 ms [2021-05-02 16:24:05 main:581] : INFO : Epoch 116 | loss: 0.030999 | val_loss: 0.0312783 | Time: 18882.4 ms [2021-05-02 16:24:24 main:581] : INFO : Epoch 117 | loss: 0.0309945 | val_loss: 0.0313164 | Time: 19021.4 ms [2021-05-02 16:24:43 main:581] : INFO : Epoch 118 | loss: 0.030993 | val_loss: 0.0312847 | Time: 18908.6 ms [2021-05-02 16:25:02 main:581] : INFO : Epoch 119 | loss: 0.0310025 | val_loss: 0.0312952 | Time: 18913.8 ms [2021-05-02 16:25:21 main:581] : INFO : Epoch 120 | loss: 0.0310029 | val_loss: 0.031264 | Time: 18852.7 ms [2021-05-02 16:25:40 main:581] : INFO : Epoch 121 | loss: 0.0310055 | val_loss: 0.0312822 | Time: 18837.4 ms [2021-05-02 16:25:59 main:581] : INFO : Epoch 122 | loss: 0.0310037 | val_loss: 0.0313016 | Time: 18971.2 ms [2021-05-02 16:26:18 main:581] : INFO : Epoch 123 | loss: 0.0310001 | val_loss: 0.0312566 | Time: 18933.2 ms [2021-05-02 16:26:36 main:581] : INFO : Epoch 124 | loss: 0.0310292 | val_loss: 0.0312705 | Time: 18889.7 ms [2021-05-02 16:26:55 main:581] : INFO : Epoch 125 | loss: 0.0310152 | val_loss: 0.0312736 | Time: 18955.2 ms [2021-05-02 16:27:14 main:581] : INFO : Epoch 126 | loss: 0.0310149 | val_loss: 0.03128 | Time: 19005.6 ms [2021-05-02 16:27:33 main:581] : INFO : Epoch 127 | loss: 0.0309967 | val_loss: 0.0313087 | Time: 18874.8 ms [2021-05-02 16:27:52 main:581] : INFO : Epoch 128 | loss: 0.0309926 | val_loss: 0.0312779 | Time: 19024.8 ms [2021-05-02 16:27:52 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0312779 [2021-05-02 16:27:52 main:610] : INFO : Saving end state to config to file [2021-05-02 16:27:52 main:615] : INFO : Success, exiting.. 16:27:52 (208106): called boinc_finish(0) </stderr_txt> ]]>
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A project of the Cognition, Robotics, and Learning (CORAL) Lab at the University of Maryland, Baltimore County (UMBC)