Task 5127386
| Name | ParityModified-1607233776-3738-67_1 |
| Workunit | 3079225 |
| Created | 1 May 2021, 17:45:17 UTC |
| Sent | 1 May 2021, 19:10:36 UTC |
| Report deadline | 8 May 2021, 19:10:36 UTC |
| Received | 2 May 2021, 16:58:41 UTC |
| Server state | Over |
| Outcome | Validate error |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 11140 |
| Run time | 40 min 35 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 12:17:54 (3788543): 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 12:17:54 main:442] : INFO : Set logging level to 1 [2021-05-02 12:17:54 main:448] : INFO : Running in BOINC Client mode [2021-05-02 12:17:54 main:451] : INFO : Resolving all filenames [2021-05-02 12:17:54 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1) [2021-05-02 12:17:54 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233776-3738-67_1_r1792014494_1 (exists = 0) [2021-05-02 12:17:54 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233776-3738-67_1_r1792014494_0 (exists = 0) [2021-05-02 12:17:54 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233776-3738-67 (exists = 1) [2021-05-02 12:17:54 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2021-05-02 12:17:54 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 [2021-05-02 12:17:54 main:481] : INFO : Configuration: [2021-05-02 12:17:54 main:482] : INFO : Model type: GRU [2021-05-02 12:17:54 main:483] : INFO : Validation Loss Threshold: 0.0001 [2021-05-02 12:17:54 main:484] : INFO : Max Epochs: 128 [2021-05-02 12:17:54 main:485] : INFO : Batch Size: 128 [2021-05-02 12:17:54 main:486] : INFO : Learning Rate: 0.01 [2021-05-02 12:17:54 main:487] : INFO : Patience: 10 [2021-05-02 12:17:54 main:488] : INFO : Hidden Width: 12 [2021-05-02 12:17:54 main:489] : INFO : # Recurrent Layers: 4 [2021-05-02 12:17:54 main:490] : INFO : # Backend Layers: 4 [2021-05-02 12:17:54 main:491] : INFO : # Threads: 1 [2021-05-02 12:17:54 main:493] : INFO : Preparing Dataset [2021-05-02 12:17:54 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 12:17:54 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 12:17:55 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-05-02 12:17:55 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 12:17:55 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 12:17:55 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-05-02 12:17:55 main:501] : INFO : Creating Model [2021-05-02 12:17:55 main:514] : INFO : Preparing config file [2021-05-02 12:17:55 main:526] : INFO : Creating new config file [2021-05-02 12:17:55 main:545] : INFO : This is a continuation WU, loading previous network [2021-05-02 12:17:55 main:566] : INFO : Loading DataLoader into Memory [2021-05-02 12:17:55 main:569] : INFO : Starting Training [2021-05-02 12:18:19 main:581] : INFO : Epoch 1 | loss: 0.0311192 | val_loss: 0.0311407 | Time: 23965.8 ms [2021-05-02 12:18:38 main:581] : INFO : Epoch 2 | loss: 0.0311001 | val_loss: 0.0311412 | Time: 18861.7 ms [2021-05-02 12:18:57 main:581] : INFO : Epoch 3 | loss: 0.0310973 | val_loss: 0.031138 | Time: 19020.4 ms [2021-05-02 12:19:16 main:581] : INFO : Epoch 4 | loss: 0.0310967 | val_loss: 0.031143 | Time: 18960.4 ms [2021-05-02 12:19:35 main:581] : INFO : Epoch 5 | loss: 0.0311005 | val_loss: 0.0311398 | Time: 19037.7 ms [2021-05-02 12:19:54 main:581] : INFO : Epoch 6 | loss: 0.0310968 | val_loss: 0.0311372 | Time: 18916.5 ms [2021-05-02 12:20:13 main:581] : INFO : Epoch 7 | loss: 0.0310934 | val_loss: 0.0311458 | Time: 18890.4 ms [2021-05-02 12:20:32 main:581] : INFO : Epoch 8 | loss: 0.0310957 | val_loss: 0.031143 | Time: 18937.1 ms [2021-05-02 12:20:51 main:581] : INFO : Epoch 9 | loss: 0.0310958 | val_loss: 0.0311391 | Time: 18865.7 ms [2021-05-02 12:21:09 main:581] : INFO : Epoch 10 | loss: 0.0310947 | val_loss: 0.031144 | Time: 18872.5 ms [2021-05-02 12:21:28 main:581] : INFO : Epoch 11 | loss: 0.0310933 | val_loss: 0.031144 | Time: 18900.8 ms [2021-05-02 12:21:47 main:581] : INFO : Epoch 12 | loss: 0.0310946 | val_loss: 0.0311415 | Time: 18845.8 ms [2021-05-02 12:22:06 main:581] : INFO : Epoch 13 | loss: 0.0310929 | val_loss: 0.0311394 | Time: 18920.2 ms [2021-05-02 12:22:25 main:581] : INFO : Epoch 14 | loss: 0.0310907 | val_loss: 0.0311421 | Time: 18919.6 ms [2021-05-02 12:22:44 main:581] : INFO : Epoch 15 | loss: 0.0310929 | val_loss: 0.0311368 | Time: 18913.2 ms [2021-05-02 12:23:03 main:581] : INFO : Epoch 16 | loss: 0.0310913 | val_loss: 0.0311401 | Time: 18901.9 ms [2021-05-02 12:23:22 main:581] : INFO : Epoch 17 | loss: 0.0310905 | val_loss: 0.0311383 | Time: 18850.1 ms [2021-05-02 12:23:41 main:581] : INFO : Epoch 18 | loss: 0.0310919 | val_loss: 0.0311397 | Time: 18907.4 ms [2021-05-02 12:24:00 main:581] : INFO : Epoch 19 | loss: 0.0310907 | val_loss: 0.0311356 | Time: 18935.1 ms [2021-05-02 12:24:18 main:581] : INFO : Epoch 20 | loss: 0.0310916 | val_loss: 0.0311351 | Time: 18967.5 ms [2021-05-02 12:24:38 main:581] : INFO : Epoch 21 | loss: 0.0310898 | val_loss: 0.0311434 | Time: 19008.9 ms [2021-05-02 12:24:56 main:581] : INFO : Epoch 22 | loss: 0.0310884 | val_loss: 0.0311351 | Time: 18895.8 ms [2021-05-02 12:25:15 main:581] : INFO : Epoch 23 | loss: 0.0310918 | val_loss: 0.0311411 | Time: 18906.8 ms [2021-05-02 12:25:34 main:581] : INFO : Epoch 24 | loss: 0.0310967 | val_loss: 0.0311384 | Time: 18871.9 ms [2021-05-02 12:25:53 main:581] : INFO : Epoch 25 | loss: 0.0310937 | val_loss: 0.0311381 | Time: 18876.9 ms [2021-05-02 12:26:12 main:581] : INFO : Epoch 26 | loss: 0.0310933 | val_loss: 0.0311429 | Time: 19055.7 ms [2021-05-02 12:26:31 main:581] : INFO : Epoch 27 | loss: 0.0310939 | val_loss: 0.031139 | Time: 18998.4 ms [2021-05-02 12:26:50 main:581] : INFO : Epoch 28 | loss: 0.0310954 | val_loss: 0.0311422 | Time: 18910.1 ms [2021-05-02 12:27:09 main:581] : INFO : Epoch 29 | loss: 0.0310951 | val_loss: 0.0311428 | Time: 18966.3 ms [2021-05-02 12:27:28 main:581] : INFO : Epoch 30 | loss: 0.0310938 | val_loss: 0.0311366 | Time: 18888.5 ms [2021-05-02 12:27:47 main:581] : INFO : Epoch 31 | loss: 0.0310941 | val_loss: 0.0311352 | Time: 18999 ms [2021-05-02 12:28:06 main:581] : INFO : Epoch 32 | loss: 0.0310941 | val_loss: 0.0311367 | Time: 18911 ms [2021-05-02 12:28:25 main:581] : INFO : Epoch 33 | loss: 0.0310939 | val_loss: 0.0311439 | Time: 18907.4 ms [2021-05-02 12:28:44 main:581] : INFO : Epoch 34 | loss: 0.0310912 | val_loss: 0.0311367 | Time: 19001.8 ms [2021-05-02 12:29:03 main:581] : INFO : Epoch 35 | loss: 0.031089 | val_loss: 0.0311416 | Time: 18943 ms [2021-05-02 12:29:22 main:581] : INFO : Epoch 36 | loss: 0.0310935 | val_loss: 0.0311421 | Time: 18880.7 ms [2021-05-02 12:29:40 main:581] : INFO : Epoch 37 | loss: 0.0311024 | val_loss: 0.031145 | Time: 18889.3 ms [2021-05-02 12:29:59 main:581] : INFO : Epoch 38 | loss: 0.0311194 | val_loss: 0.0311377 | Time: 18960.3 ms [2021-05-02 12:30:18 main:581] : INFO : Epoch 39 | loss: 0.0311135 | val_loss: 0.0311347 | Time: 18859 ms [2021-05-02 12:30:37 main:581] : INFO : Epoch 40 | loss: 0.0311095 | val_loss: 0.0311316 | Time: 18854.6 ms [2021-05-02 12:30:56 main:581] : INFO : Epoch 41 | loss: 0.0311021 | val_loss: 0.0311383 | Time: 18987.8 ms [2021-05-02 12:31:15 main:581] : INFO : Epoch 42 | loss: 0.0311006 | val_loss: 0.0311364 | Time: 18878.4 ms [2021-05-02 12:31:34 main:581] : INFO : Epoch 43 | loss: 0.0310971 | val_loss: 0.0311327 | Time: 18882.3 ms [2021-05-02 12:31:53 main:581] : INFO : Epoch 44 | loss: 0.0310968 | val_loss: 0.0311358 | Time: 18890.9 ms [2021-05-02 12:32:12 main:581] : INFO : Epoch 45 | loss: 0.0310998 | val_loss: 0.0311363 | Time: 18961.1 ms [2021-05-02 12:32:31 main:581] : INFO : Epoch 46 | loss: 0.0310972 | val_loss: 0.0311369 | Time: 18985.5 ms [2021-05-02 12:32:50 main:581] : INFO : Epoch 47 | loss: 0.0310947 | val_loss: 0.0311367 | Time: 18849.3 ms [2021-05-02 12:33:08 main:581] : INFO : Epoch 48 | loss: 0.031099 | val_loss: 0.0311362 | Time: 18924.9 ms [2021-05-02 12:33:27 main:581] : INFO : Epoch 49 | loss: 0.0311018 | val_loss: 0.0311404 | Time: 18975.9 ms [2021-05-02 12:33:46 main:581] : INFO : Epoch 50 | loss: 0.0311006 | val_loss: 0.0311377 | Time: 18938.4 ms [2021-05-02 12:34:05 main:581] : INFO : Epoch 51 | loss: 0.031098 | val_loss: 0.0311397 | Time: 18933.1 ms [2021-05-02 12:34:24 main:581] : INFO : Epoch 52 | loss: 0.0311007 | val_loss: 0.031142 | Time: 18905.4 ms [2021-05-02 12:34:43 main:581] : INFO : Epoch 53 | loss: 0.0311017 | val_loss: 0.0311428 | Time: 18880.5 ms [2021-05-02 12:35:02 main:581] : INFO : Epoch 54 | loss: 0.0311008 | val_loss: 0.0311366 | Time: 18898.5 ms [2021-05-02 12:35:21 main:581] : INFO : Epoch 55 | loss: 0.0310975 | val_loss: 0.0311406 | Time: 18868.6 ms [2021-05-02 12:35:40 main:581] : INFO : Epoch 56 | loss: 0.0310959 | val_loss: 0.0311359 | Time: 18996.1 ms [2021-05-02 12:35:59 main:581] : INFO : Epoch 57 | loss: 0.0310927 | val_loss: 0.0311427 | Time: 18972.4 ms [2021-05-02 12:36:18 main:581] : INFO : Epoch 58 | loss: 0.0310934 | val_loss: 0.0311396 | Time: 18981.8 ms [2021-05-02 12:36:37 main:581] : INFO : Epoch 59 | loss: 0.0310948 | val_loss: 0.0311385 | Time: 18873.9 ms [2021-05-02 12:36:56 main:581] : INFO : Epoch 60 | loss: 0.0310948 | val_loss: 0.0311428 | Time: 18903.5 ms [2021-05-02 12:37:14 main:581] : INFO : Epoch 61 | loss: 0.031091 | val_loss: 0.0311362 | Time: 18915.8 ms [2021-05-02 12:37:34 main:581] : INFO : Epoch 62 | loss: 0.0310935 | val_loss: 0.0311374 | Time: 19142.6 ms [2021-05-02 12:37:53 main:581] : INFO : Epoch 63 | loss: 0.0310907 | val_loss: 0.0311338 | Time: 18879.7 ms [2021-05-02 12:38:11 main:581] : INFO : Epoch 64 | loss: 0.0310888 | val_loss: 0.0311372 | Time: 18934.1 ms [2021-05-02 12:38:30 main:581] : INFO : Epoch 65 | loss: 0.0310902 | val_loss: 0.0311424 | Time: 18918 ms [2021-05-02 12:38:49 main:581] : INFO : Epoch 66 | loss: 0.0310889 | val_loss: 0.0311489 | Time: 18926.8 ms [2021-05-02 12:39:08 main:581] : INFO : Epoch 67 | loss: 0.0310907 | val_loss: 0.0311418 | Time: 19024.8 ms [2021-05-02 12:39:27 main:581] : INFO : Epoch 68 | loss: 0.0310953 | val_loss: 0.0311407 | Time: 19054.2 ms [2021-05-02 12:39:46 main:581] : INFO : Epoch 69 | loss: 0.0310969 | val_loss: 0.0311425 | Time: 18844.8 ms [2021-05-02 12:40:05 main:581] : INFO : Epoch 70 | loss: 0.0311087 | val_loss: 0.0311395 | Time: 18892.8 ms [2021-05-02 12:40:24 main:581] : INFO : Epoch 71 | loss: 0.0311097 | val_loss: 0.031148 | Time: 18981.6 ms [2021-05-02 12:40:43 main:581] : INFO : Epoch 72 | loss: 0.0311095 | val_loss: 0.0311426 | Time: 19027 ms [2021-05-02 12:41:02 main:581] : INFO : Epoch 73 | loss: 0.031109 | val_loss: 0.031144 | Time: 18946.8 ms [2021-05-02 12:41:21 main:581] : INFO : Epoch 74 | loss: 0.0311071 | val_loss: 0.0311372 | Time: 18988.7 ms [2021-05-02 12:41:40 main:581] : INFO : Epoch 75 | loss: 0.0311052 | val_loss: 0.0311413 | Time: 18968.9 ms [2021-05-02 12:41:59 main:581] : INFO : Epoch 76 | loss: 0.031101 | val_loss: 0.0311339 | Time: 18902.9 ms [2021-05-02 12:42:18 main:581] : INFO : Epoch 77 | loss: 0.0310987 | val_loss: 0.0311381 | Time: 18958.8 ms [2021-05-02 12:42:37 main:581] : INFO : Epoch 78 | loss: 0.031098 | val_loss: 0.0311393 | Time: 18958.6 ms [2021-05-02 12:42:56 main:581] : INFO : Epoch 79 | loss: 0.0310976 | val_loss: 0.0311349 | Time: 18942 ms [2021-05-02 12:43:15 main:581] : INFO : Epoch 80 | loss: 0.031097 | val_loss: 0.0311366 | Time: 19092.6 ms [2021-05-02 12:43:34 main:581] : INFO : Epoch 81 | loss: 0.0311002 | val_loss: 0.0311352 | Time: 19010.2 ms [2021-05-02 12:43:53 main:581] : INFO : Epoch 82 | loss: 0.0311047 | val_loss: 0.0311366 | Time: 18978.8 ms [2021-05-02 12:44:12 main:581] : INFO : Epoch 83 | loss: 0.0311053 | val_loss: 0.0311426 | Time: 19139.4 ms [2021-05-02 12:44:31 main:581] : INFO : Epoch 84 | loss: 0.0311012 | val_loss: 0.0311387 | Time: 19039.6 ms [2021-05-02 12:44:50 main:581] : INFO : Epoch 85 | loss: 0.0310991 | val_loss: 0.0311409 | Time: 18973.1 ms [2021-05-02 12:45:09 main:581] : INFO : Epoch 86 | loss: 0.0310966 | val_loss: 0.0311418 | Time: 18987.5 ms [2021-05-02 12:45:28 main:581] : INFO : Epoch 87 | loss: 0.0310968 | val_loss: 0.0311447 | Time: 18991.7 ms [2021-05-02 12:45:47 main:581] : INFO : Epoch 88 | loss: 0.031098 | val_loss: 0.0311391 | Time: 19057.1 ms [2021-05-02 12:46:06 main:581] : INFO : Epoch 89 | loss: 0.0310948 | val_loss: 0.0311417 | Time: 18862.5 ms [2021-05-02 12:46:25 main:581] : INFO : Epoch 90 | loss: 0.031097 | val_loss: 0.0311356 | Time: 18838.9 ms [2021-05-02 12:46:44 main:581] : INFO : Epoch 91 | loss: 0.0310961 | val_loss: 0.0311536 | Time: 19056.4 ms [2021-05-02 12:47:03 main:581] : INFO : Epoch 92 | loss: 0.0310956 | val_loss: 0.0311459 | Time: 18886.8 ms [2021-05-02 12:47:22 main:581] : INFO : Epoch 93 | loss: 0.0310919 | val_loss: 0.0311436 | Time: 18876 ms [2021-05-02 12:47:40 main:581] : INFO : Epoch 94 | loss: 0.0310945 | val_loss: 0.0311352 | Time: 18901.7 ms [2021-05-02 12:47:59 main:581] : INFO : Epoch 95 | loss: 0.031114 | val_loss: 0.0311491 | Time: 18903.1 ms [2021-05-02 12:48:18 main:581] : INFO : Epoch 96 | loss: 0.031116 | val_loss: 0.0311403 | Time: 18881.3 ms [2021-05-02 12:48:37 main:581] : INFO : Epoch 97 | loss: 0.0311121 | val_loss: 0.0311368 | Time: 18999.6 ms [2021-05-02 12:48:56 main:581] : INFO : Epoch 98 | loss: 0.0311148 | val_loss: 0.0311341 | Time: 18928.7 ms [2021-05-02 12:49:15 main:581] : INFO : Epoch 99 | loss: 0.0311166 | val_loss: 0.0311393 | Time: 18902.3 ms [2021-05-02 12:49:34 main:581] : INFO : Epoch 100 | loss: 0.0311161 | val_loss: 0.0311377 | Time: 19140.7 ms [2021-05-02 12:49:53 main:581] : INFO : Epoch 101 | loss: 0.0311155 | val_loss: 0.0311378 | Time: 18886 ms [2021-05-02 12:50:12 main:581] : INFO : Epoch 102 | loss: 0.0311098 | val_loss: 0.0311368 | Time: 18908.1 ms [2021-05-02 12:50:31 main:581] : INFO : Epoch 103 | loss: 0.0311119 | val_loss: 0.0311393 | Time: 19292.7 ms [2021-05-02 12:50:51 main:581] : INFO : Epoch 104 | loss: 0.0311135 | val_loss: 0.0311429 | Time: 19656.4 ms [2021-05-02 12:51:10 main:581] : INFO : Epoch 105 | loss: 0.0311168 | val_loss: 0.0311416 | Time: 19007.6 ms [2021-05-02 12:51:29 main:581] : INFO : Epoch 106 | loss: 0.0311251 | val_loss: 0.0311392 | Time: 18976.6 ms [2021-05-02 12:51:48 main:581] : INFO : Epoch 107 | loss: 0.0311192 | val_loss: 0.031138 | Time: 18923.7 ms [2021-05-02 12:52:07 main:581] : INFO : Epoch 108 | loss: 0.0311173 | val_loss: 0.0311387 | Time: 18943.1 ms [2021-05-02 12:52:26 main:581] : INFO : Epoch 109 | loss: 0.0311155 | val_loss: 0.0311376 | Time: 18931.1 ms [2021-05-02 12:52:45 main:581] : INFO : Epoch 110 | loss: 0.0311139 | val_loss: 0.0311372 | Time: 19030.6 ms [2021-05-02 12:53:04 main:581] : INFO : Epoch 111 | loss: 0.0311146 | val_loss: 0.0311444 | Time: 19001.7 ms [2021-05-02 12:53:23 main:581] : INFO : Epoch 112 | loss: 0.031115 | val_loss: 0.0311377 | Time: 19035.8 ms [2021-05-02 12:53:42 main:581] : INFO : Epoch 113 | loss: 0.0311137 | val_loss: 0.0311324 | Time: 19090.1 ms [2021-05-02 12:54:01 main:581] : INFO : Epoch 114 | loss: 0.0311149 | val_loss: 0.0311342 | Time: 18965.3 ms [2021-05-02 12:54:20 main:581] : INFO : Epoch 115 | loss: 0.0311154 | val_loss: 0.0311346 | Time: 18709.3 ms [2021-05-02 12:54:39 main:581] : INFO : Epoch 116 | loss: 0.0311142 | val_loss: 0.0311401 | Time: 18981.9 ms [2021-05-02 12:54:57 main:581] : INFO : Epoch 117 | loss: 0.0311139 | val_loss: 0.0311338 | Time: 18900.8 ms [2021-05-02 12:55:16 main:581] : INFO : Epoch 118 | loss: 0.0311143 | val_loss: 0.031136 | Time: 18834.8 ms [2021-05-02 12:55:35 main:581] : INFO : Epoch 119 | loss: 0.0311138 | val_loss: 0.0311361 | Time: 19053.4 ms [2021-05-02 12:55:54 main:581] : INFO : Epoch 120 | loss: 0.0311103 | val_loss: 0.031135 | Time: 18909 ms [2021-05-02 12:56:13 main:581] : INFO : Epoch 121 | loss: 0.0311107 | val_loss: 0.0311355 | Time: 19065.4 ms [2021-05-02 12:56:32 main:581] : INFO : Epoch 122 | loss: 0.0311125 | val_loss: 0.0311358 | Time: 18912.1 ms [2021-05-02 12:56:51 main:581] : INFO : Epoch 123 | loss: 0.0311129 | val_loss: 0.0311397 | Time: 18885.3 ms [2021-05-02 12:57:10 main:581] : INFO : Epoch 124 | loss: 0.0311103 | val_loss: 0.0311421 | Time: 18995.4 ms [2021-05-02 12:57:29 main:581] : INFO : Epoch 125 | loss: 0.0311084 | val_loss: 0.0311385 | Time: 18941.3 ms [2021-05-02 12:57:48 main:581] : INFO : Epoch 126 | loss: 0.0311081 | val_loss: 0.0311409 | Time: 18992.9 ms [2021-05-02 12:58:07 main:581] : INFO : Epoch 127 | loss: 0.0311088 | val_loss: 0.031141 | Time: 19077 ms [2021-05-02 12:58:26 main:581] : INFO : Epoch 128 | loss: 0.0311093 | val_loss: 0.0311372 | Time: 18853 ms [2021-05-02 12:58:26 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0311372 [2021-05-02 12:58:26 main:610] : INFO : Saving end state to config to file [2021-05-02 12:58:26 main:615] : INFO : Success, exiting.. 12:58:26 (3788543): 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)