| Name | ParityModified-1607233788-4145-53_0 |
| Workunit | 3078851 |
| Created | 1 May 2021, 0:56:04 UTC |
| Sent | 1 May 2021, 0:56:17 UTC |
| Report deadline | 8 May 2021, 0:56:17 UTC |
| Received | 1 May 2021, 3:44:42 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 11158 |
| Run time | 57 min 4 sec |
| CPU time | |
| Validate state | Valid |
| Credit | 780.00 |
| Device peak FLOPS | 13,837.92 GFLOPS |
| Application version | Machine Learning Dataset Generator (test) v9.80 (amdrocm) x86_64-pc-linux-gnu |
| Peak working set size | 1.66 GB |
| Peak swap size | 8.35 GB |
| Peak disk usage | 2.25 GB |
<core_client_version>7.16.6</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 19:47:08 (10895): start_timer_thread(): pthread_create(): 22Machine Learning Dataset Generator v9.80 (Linux/x86_64) (libTorch: release/1.7 GPU: Vega 20 [Radeon VII]) [2021-04-30 19:47:08 main:442] : INFO : Set logging level to 1 [2021-04-30 19:47:08 main:448] : INFO : Running in BOINC Client mode [2021-04-30 19:47:08 main:451] : INFO : Resolving all filenames [2021-04-30 19:47:08 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1) [2021-04-30 19:47:08 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233788-4145-53_0_r2008626310_1 (exists = 0) [2021-04-30 19:47:08 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233788-4145-53_0_r2008626310_0 (exists = 0) [2021-04-30 19:47:08 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233788-4145-53 (exists = 1) [2021-04-30 19:47:08 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2021-04-30 19:47:08 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 [2021-04-30 19:47:08 main:481] : INFO : Configuration: [2021-04-30 19:47:08 main:482] : INFO : Model type: GRU [2021-04-30 19:47:08 main:483] : INFO : Validation Loss Threshold: 0.0001 [2021-04-30 19:47:08 main:484] : INFO : Max Epochs: 128 [2021-04-30 19:47:08 main:485] : INFO : Batch Size: 128 [2021-04-30 19:47:08 main:486] : INFO : Learning Rate: 0.01 [2021-04-30 19:47:08 main:487] : INFO : Patience: 10 [2021-04-30 19:47:08 main:488] : INFO : Hidden Width: 12 [2021-04-30 19:47:08 main:489] : INFO : # Recurrent Layers: 4 [2021-04-30 19:47:08 main:490] : INFO : # Backend Layers: 4 [2021-04-30 19:47:08 main:491] : INFO : # Threads: 1 [2021-04-30 19:47:08 main:493] : INFO : Preparing Dataset [2021-04-30 19:47:08 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-04-30 19:47:09 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-04-30 19:47:10 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-04-30 19:47:10 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-04-30 19:47:10 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-04-30 19:47:10 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-04-30 19:47:10 main:501] : INFO : Creating Model [2021-04-30 19:47:10 main:514] : INFO : Preparing config file [2021-04-30 19:47:10 main:526] : INFO : Creating new config file [2021-04-30 19:47:10 main:545] : INFO : This is a continuation WU, loading previous network [2021-04-30 19:47:10 main:566] : INFO : Loading DataLoader into Memory [2021-04-30 19:47:10 main:569] : INFO : Starting Training [2021-04-30 19:47:52 main:581] : INFO : Epoch 1 | loss: 0.0311079 | val_loss: 0.0312457 | Time: 41663.2 ms [2021-04-30 19:48:17 main:581] : INFO : Epoch 2 | loss: 0.0310751 | val_loss: 0.0312668 | Time: 24932.3 ms [2021-04-30 19:48:45 main:581] : INFO : Epoch 3 | loss: 0.0310754 | val_loss: 0.0312307 | Time: 27908.1 ms [2021-04-30 19:49:10 main:581] : INFO : Epoch 4 | loss: 0.0310605 | val_loss: 0.0312537 | Time: 25124.3 ms [2021-04-30 19:49:36 main:581] : INFO : Epoch 5 | loss: 0.031051 | val_loss: 0.0312378 | Time: 25833.6 ms [2021-04-30 19:50:05 main:581] : INFO : Epoch 6 | loss: 0.0310439 | val_loss: 0.0312506 | Time: 28723 ms [2021-04-30 19:50:33 main:581] : INFO : Epoch 7 | loss: 0.0310416 | val_loss: 0.0312582 | Time: 27889.4 ms [2021-04-30 19:51:01 main:581] : INFO : Epoch 8 | loss: 0.0310409 | val_loss: 0.0312577 | Time: 28766.5 ms [2021-04-30 19:51:30 main:581] : INFO : Epoch 9 | loss: 0.0310441 | val_loss: 0.0312391 | Time: 28797.2 ms [2021-04-30 19:51:58 main:581] : INFO : Epoch 10 | loss: 0.0310473 | val_loss: 0.0312528 | Time: 27849.2 ms [2021-04-30 19:52:24 main:581] : INFO : Epoch 11 | loss: 0.0310421 | val_loss: 0.0312577 | Time: 26350.5 ms [2021-04-30 19:52:52 main:581] : INFO : Epoch 12 | loss: 0.0310375 | val_loss: 0.0312509 | Time: 28055.8 ms [2021-04-30 19:53:21 main:581] : INFO : Epoch 13 | loss: 0.0310394 | val_loss: 0.0312631 | Time: 28923.3 ms [2021-04-30 19:53:48 main:581] : INFO : Epoch 14 | loss: 0.0310421 | val_loss: 0.0312506 | Time: 26408.5 ms [2021-04-30 19:54:16 main:581] : INFO : Epoch 15 | loss: 0.0310433 | val_loss: 0.0312492 | Time: 28035.8 ms [2021-04-30 19:54:40 main:581] : INFO : Epoch 16 | loss: 0.0310423 | val_loss: 0.0312763 | Time: 23969.9 ms [2021-04-30 19:55:03 main:581] : INFO : Epoch 17 | loss: 0.0310387 | val_loss: 0.0312499 | Time: 23222.3 ms [2021-04-30 19:55:29 main:581] : INFO : Epoch 18 | loss: 0.031038 | val_loss: 0.031261 | Time: 25695.4 ms [2021-04-30 19:55:56 main:581] : INFO : Epoch 19 | loss: 0.0310401 | val_loss: 0.0312556 | Time: 27669.3 ms [2021-04-30 19:56:25 main:581] : INFO : Epoch 20 | loss: 0.0310495 | val_loss: 0.031261 | Time: 28758.3 ms [2021-04-30 19:56:48 main:581] : INFO : Epoch 21 | loss: 0.0310456 | val_loss: 0.0312477 | Time: 23327.8 ms [2021-04-30 19:57:12 main:581] : INFO : Epoch 22 | loss: 0.0310501 | val_loss: 0.0312523 | Time: 23507.8 ms [2021-04-30 19:57:38 main:581] : INFO : Epoch 23 | loss: 0.0310508 | val_loss: 0.0312335 | Time: 26245.9 ms [2021-04-30 19:58:07 main:581] : INFO : Epoch 24 | loss: 0.0310528 | val_loss: 0.0312429 | Time: 28805.7 ms [2021-04-30 19:58:35 main:581] : INFO : Epoch 25 | loss: 0.0310451 | val_loss: 0.031264 | Time: 28327.9 ms [2021-04-30 19:59:02 main:581] : INFO : Epoch 26 | loss: 0.0310466 | val_loss: 0.031252 | Time: 27008 ms [2021-04-30 19:59:30 main:581] : INFO : Epoch 27 | loss: 0.0310452 | val_loss: 0.0312565 | Time: 27635.6 ms [2021-04-30 19:59:59 main:581] : INFO : Epoch 28 | loss: 0.0310411 | val_loss: 0.031252 | Time: 28911.9 ms [2021-04-30 20:00:28 main:581] : INFO : Epoch 29 | loss: 0.0310361 | val_loss: 0.0312435 | Time: 28877.2 ms [2021-04-30 20:00:53 main:581] : INFO : Epoch 30 | loss: 0.0310576 | val_loss: 0.0312348 | Time: 25230.3 ms [2021-04-30 20:01:18 main:581] : INFO : Epoch 31 | loss: 0.0310648 | val_loss: 0.0312441 | Time: 24746.8 ms [2021-04-30 20:01:45 main:581] : INFO : Epoch 32 | loss: 0.0310533 | val_loss: 0.031256 | Time: 27044.7 ms [2021-04-30 20:02:12 main:581] : INFO : Epoch 33 | loss: 0.0310487 | val_loss: 0.0312465 | Time: 27591.8 ms [2021-04-30 20:02:39 main:581] : INFO : Epoch 34 | loss: 0.031048 | val_loss: 0.0312344 | Time: 26556 ms [2021-04-30 20:03:06 main:581] : INFO : Epoch 35 | loss: 0.0310545 | val_loss: 0.0312472 | Time: 26999.6 ms [2021-04-30 20:03:32 main:581] : INFO : Epoch 36 | loss: 0.0310482 | val_loss: 0.0312575 | Time: 26588.2 ms [2021-04-30 20:04:01 main:581] : INFO : Epoch 37 | loss: 0.0310402 | val_loss: 0.0312563 | Time: 28520.2 ms [2021-04-30 20:04:27 main:581] : INFO : Epoch 38 | loss: 0.0310447 | val_loss: 0.031242 | Time: 26122.4 ms [2021-04-30 20:04:56 main:581] : INFO : Epoch 39 | loss: 0.0310452 | val_loss: 0.0312521 | Time: 28908.3 ms [2021-04-30 20:05:25 main:581] : INFO : Epoch 40 | loss: 0.0310429 | val_loss: 0.0312811 | Time: 28800 ms [2021-04-30 20:05:54 main:581] : INFO : Epoch 41 | loss: 0.0310401 | val_loss: 0.0312595 | Time: 28825.1 ms [2021-04-30 20:06:22 main:581] : INFO : Epoch 42 | loss: 0.0310428 | val_loss: 0.0312452 | Time: 27930.1 ms [2021-04-30 20:06:47 main:581] : INFO : Epoch 43 | loss: 0.031041 | val_loss: 0.0312578 | Time: 25701.6 ms [2021-04-30 20:07:13 main:581] : INFO : Epoch 44 | loss: 0.0310403 | val_loss: 0.0312539 | Time: 25797.3 ms [2021-04-30 20:07:39 main:581] : INFO : Epoch 45 | loss: 0.0310411 | val_loss: 0.0312582 | Time: 25496.5 ms [2021-04-30 20:08:05 main:581] : INFO : Epoch 46 | loss: 0.0310419 | val_loss: 0.0312381 | Time: 26505.5 ms [2021-04-30 20:08:33 main:581] : INFO : Epoch 47 | loss: 0.0310445 | val_loss: 0.0312485 | Time: 27650.5 ms [2021-04-30 20:09:00 main:581] : INFO : Epoch 48 | loss: 0.0310487 | val_loss: 0.0312686 | Time: 27071.4 ms [2021-04-30 20:09:28 main:581] : INFO : Epoch 49 | loss: 0.0310576 | val_loss: 0.0312347 | Time: 27855.8 ms [2021-04-30 20:09:52 main:581] : INFO : Epoch 50 | loss: 0.0310798 | val_loss: 0.0312286 | Time: 23955.8 ms [2021-04-30 20:10:17 main:581] : INFO : Epoch 51 | loss: 0.0310595 | val_loss: 0.0312426 | Time: 24983.8 ms [2021-04-30 20:10:45 main:581] : INFO : Epoch 52 | loss: 0.03105 | val_loss: 0.0312643 | Time: 28595.8 ms [2021-04-30 20:11:12 main:581] : INFO : Epoch 53 | loss: 0.0310472 | val_loss: 0.0312341 | Time: 26819.7 ms [2021-04-30 20:11:40 main:581] : INFO : Epoch 54 | loss: 0.0310711 | val_loss: 0.0312248 | Time: 28275.3 ms [2021-04-30 20:12:09 main:581] : INFO : Epoch 55 | loss: 0.031082 | val_loss: 0.0312377 | Time: 28712.4 ms [2021-04-30 20:12:32 main:581] : INFO : Epoch 56 | loss: 0.031074 | val_loss: 0.0312201 | Time: 23511.8 ms [2021-04-30 20:12:55 main:581] : INFO : Epoch 57 | loss: 0.0310633 | val_loss: 0.0312284 | Time: 22863.9 ms [2021-04-30 20:13:24 main:581] : INFO : Epoch 58 | loss: 0.0310545 | val_loss: 0.031237 | Time: 28571.7 ms [2021-04-30 20:13:50 main:581] : INFO : Epoch 59 | loss: 0.0310519 | val_loss: 0.0312529 | Time: 26395.9 ms [2021-04-30 20:14:15 main:581] : INFO : Epoch 60 | loss: 0.031043 | val_loss: 0.0312491 | Time: 24919.8 ms [2021-04-30 20:14:43 main:581] : INFO : Epoch 61 | loss: 0.0310442 | val_loss: 0.0312354 | Time: 28203.8 ms [2021-04-30 20:15:12 main:581] : INFO : Epoch 62 | loss: 0.0310416 | val_loss: 0.0312567 | Time: 28643.7 ms [2021-04-30 20:15:36 main:581] : INFO : Epoch 63 | loss: 0.031035 | val_loss: 0.0312661 | Time: 23810 ms [2021-04-30 20:16:02 main:581] : INFO : Epoch 64 | loss: 0.0310331 | val_loss: 0.0312493 | Time: 25773.6 ms [2021-04-30 20:16:29 main:581] : INFO : Epoch 65 | loss: 0.031039 | val_loss: 0.0312618 | Time: 27212.5 ms [2021-04-30 20:16:54 main:581] : INFO : Epoch 66 | loss: 0.0310333 | val_loss: 0.0312627 | Time: 25510.7 ms [2021-04-30 20:17:19 main:581] : INFO : Epoch 67 | loss: 0.0310515 | val_loss: 0.0312478 | Time: 24308 ms [2021-04-30 20:17:41 main:581] : INFO : Epoch 68 | loss: 0.0310469 | val_loss: 0.0312432 | Time: 21829.9 ms [2021-04-30 20:18:03 main:581] : INFO : Epoch 69 | loss: 0.0310475 | val_loss: 0.0312703 | Time: 22769.6 ms [2021-04-30 20:18:26 main:581] : INFO : Epoch 70 | loss: 0.0310491 | val_loss: 0.0312363 | Time: 22690.4 ms [2021-04-30 20:18:49 main:581] : INFO : Epoch 71 | loss: 0.0310445 | val_loss: 0.0312467 | Time: 23374.2 ms [2021-04-30 20:19:13 main:581] : INFO : Epoch 72 | loss: 0.0310511 | val_loss: 0.0312492 | Time: 24050.6 ms [2021-04-30 20:19:39 main:581] : INFO : Epoch 73 | loss: 0.0310449 | val_loss: 0.031245 | Time: 25939.4 ms [2021-04-30 20:20:06 main:581] : INFO : Epoch 74 | loss: 0.0310511 | val_loss: 0.0312584 | Time: 26640.1 ms [2021-04-30 20:20:35 main:581] : INFO : Epoch 75 | loss: 0.031046 | val_loss: 0.0312514 | Time: 29396 ms [2021-04-30 20:21:03 main:581] : INFO : Epoch 76 | loss: 0.0310433 | val_loss: 0.031258 | Time: 27431.6 ms [2021-04-30 20:21:28 main:581] : INFO : Epoch 77 | loss: 0.0310372 | val_loss: 0.0312449 | Time: 25403.7 ms [2021-04-30 20:21:57 main:581] : INFO : Epoch 78 | loss: 0.0310423 | val_loss: 0.0312354 | Time: 28386.7 ms [2021-04-30 20:22:25 main:581] : INFO : Epoch 79 | loss: 0.0310439 | val_loss: 0.031271 | Time: 28044.9 ms [2021-04-30 20:22:49 main:581] : INFO : Epoch 80 | loss: 0.0310581 | val_loss: 0.0312399 | Time: 24140.9 ms [2021-04-30 20:23:16 main:581] : INFO : Epoch 81 | loss: 0.0310507 | val_loss: 0.0312685 | Time: 27386.6 ms [2021-04-30 20:23:40 main:581] : INFO : Epoch 82 | loss: 0.0310447 | val_loss: 0.0312399 | Time: 23815.8 ms [2021-04-30 20:24:07 main:581] : INFO : Epoch 83 | loss: 0.0310751 | val_loss: 0.0312385 | Time: 26979.8 ms [2021-04-30 20:24:36 main:581] : INFO : Epoch 84 | loss: 0.0310641 | val_loss: 0.0312652 | Time: 28535.8 ms [2021-04-30 20:25:03 main:581] : INFO : Epoch 85 | loss: 0.0310541 | val_loss: 0.0312421 | Time: 27807.6 ms [2021-04-30 20:25:31 main:581] : INFO : Epoch 86 | loss: 0.0310535 | val_loss: 0.0312579 | Time: 27459.8 ms [2021-04-30 20:25:56 main:581] : INFO : Epoch 87 | loss: 0.0310606 | val_loss: 0.0312529 | Time: 25324.8 ms [2021-04-30 20:26:19 main:581] : INFO : Epoch 88 | loss: 0.0310603 | val_loss: 0.0312401 | Time: 22802.8 ms [2021-04-30 20:26:45 main:581] : INFO : Epoch 89 | loss: 0.0310576 | val_loss: 0.0312357 | Time: 25667.8 ms [2021-04-30 20:27:10 main:581] : INFO : Epoch 90 | loss: 0.0310566 | val_loss: 0.031264 | Time: 24999.8 ms [2021-04-30 20:27:35 main:581] : INFO : Epoch 91 | loss: 0.0310488 | val_loss: 0.0312505 | Time: 25431.8 ms [2021-04-30 20:28:04 main:581] : INFO : Epoch 92 | loss: 0.0310458 | val_loss: 0.0312578 | Time: 29195.8 ms [2021-04-30 20:28:32 main:581] : INFO : Epoch 93 | loss: 0.03105 | val_loss: 0.0312461 | Time: 28167.7 ms [2021-04-30 20:28:59 main:581] : INFO : Epoch 94 | loss: 0.0310507 | val_loss: 0.0312456 | Time: 26276.6 ms [2021-04-30 20:29:26 main:581] : INFO : Epoch 95 | loss: 0.0310503 | val_loss: 0.0312494 | Time: 27429.7 ms [2021-04-30 20:29:54 main:581] : INFO : Epoch 96 | loss: 0.0310495 | val_loss: 0.0312397 | Time: 27587.4 ms [2021-04-30 20:30:23 main:581] : INFO : Epoch 97 | loss: 0.0310581 | val_loss: 0.0312509 | Time: 28925.4 ms [2021-04-30 20:30:50 main:581] : INFO : Epoch 98 | loss: 0.0310485 | val_loss: 0.0312405 | Time: 27235.7 ms [2021-04-30 20:31:17 main:581] : INFO : Epoch 99 | loss: 0.0310481 | val_loss: 0.0312485 | Time: 27555.8 ms [2021-04-30 20:31:46 main:581] : INFO : Epoch 100 | loss: 0.0310525 | val_loss: 0.0312639 | Time: 28611.8 ms [2021-04-30 20:32:13 main:581] : INFO : Epoch 101 | loss: 0.0310422 | val_loss: 0.0312394 | Time: 26935 ms [2021-04-30 20:32:42 main:581] : INFO : Epoch 102 | loss: 0.0310417 | val_loss: 0.0312579 | Time: 28744.2 ms [2021-04-30 20:33:08 main:581] : INFO : Epoch 103 | loss: 0.031043 | val_loss: 0.0312546 | Time: 25952 ms [2021-04-30 20:33:34 main:581] : INFO : Epoch 104 | loss: 0.0310492 | val_loss: 0.031263 | Time: 26239.8 ms [2021-04-30 20:34:03 main:581] : INFO : Epoch 105 | loss: 0.0310487 | val_loss: 0.0312386 | Time: 28659.7 ms [2021-04-30 20:34:28 main:581] : INFO : Epoch 106 | loss: 0.0310507 | val_loss: 0.0312681 | Time: 25139.8 ms [2021-04-30 20:34:57 main:581] : INFO : Epoch 107 | loss: 0.0310486 | val_loss: 0.0312495 | Time: 29007.7 ms [2021-04-30 20:35:25 main:581] : INFO : Epoch 108 | loss: 0.0310483 | val_loss: 0.0312598 | Time: 28485.2 ms [2021-04-30 20:35:53 main:581] : INFO : Epoch 109 | loss: 0.0310372 | val_loss: 0.0312477 | Time: 27374.3 ms [2021-04-30 20:36:19 main:581] : INFO : Epoch 110 | loss: 0.0310414 | val_loss: 0.0312599 | Time: 26302.3 ms [2021-04-30 20:36:45 main:581] : INFO : Epoch 111 | loss: 0.0310801 | val_loss: 0.0312069 | Time: 25729.2 ms [2021-04-30 20:37:09 main:581] : INFO : Epoch 112 | loss: 0.0311448 | val_loss: 0.0312158 | Time: 24190 ms [2021-04-30 20:37:32 main:581] : INFO : Epoch 113 | loss: 0.031141 | val_loss: 0.0312126 | Time: 23581.6 ms [2021-04-30 20:38:01 main:581] : INFO : Epoch 114 | loss: 0.0311214 | val_loss: 0.0312053 | Time: 28899.7 ms [2021-04-30 20:38:29 main:581] : INFO : Epoch 115 | loss: 0.0311019 | val_loss: 0.0312134 | Time: 27578.3 ms [2021-04-30 20:38:52 main:581] : INFO : Epoch 116 | loss: 0.0310894 | val_loss: 0.0312182 | Time: 23598.9 ms [2021-04-30 20:39:15 main:581] : INFO : Epoch 117 | loss: 0.0310773 | val_loss: 0.0312244 | Time: 22187.8 ms [2021-04-30 20:39:41 main:581] : INFO : Epoch 118 | loss: 0.0310697 | val_loss: 0.0312446 | Time: 26722.1 ms [2021-04-30 20:40:09 main:581] : INFO : Epoch 119 | loss: 0.0310675 | val_loss: 0.0312374 | Time: 27483.7 ms [2021-04-30 20:40:37 main:581] : INFO : Epoch 120 | loss: 0.0310565 | val_loss: 0.0312366 | Time: 28231.7 ms [2021-04-30 20:41:02 main:581] : INFO : Epoch 121 | loss: 0.0310518 | val_loss: 0.0312482 | Time: 25071.6 ms [2021-04-30 20:41:29 main:581] : INFO : Epoch 122 | loss: 0.0310449 | val_loss: 0.0312399 | Time: 27230.4 ms [2021-04-30 20:41:59 main:581] : INFO : Epoch 123 | loss: 0.0310518 | val_loss: 0.0312653 | Time: 29245 ms [2021-04-30 20:42:24 main:581] : INFO : Epoch 124 | loss: 0.0310642 | val_loss: 0.031249 | Time: 25871 ms [2021-04-30 20:42:46 main:581] : INFO : Epoch 125 | loss: 0.0310667 | val_loss: 0.0312442 | Time: 21189.6 ms [2021-04-30 20:43:13 main:581] : INFO : Epoch 126 | loss: 0.0310553 | val_loss: 0.0312437 | Time: 27274.8 ms [2021-04-30 20:43:40 main:581] : INFO : Epoch 127 | loss: 0.031073 | val_loss: 0.0312404 | Time: 27319.7 ms [2021-04-30 20:44:05 main:581] : INFO : Epoch 128 | loss: 0.0310667 | val_loss: 0.0312484 | Time: 25239.8 ms [2021-04-30 20:44:05 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0312484 [2021-04-30 20:44:05 main:610] : INFO : Saving end state to config to file [2021-04-30 20:44:05 main:615] : INFO : Success, exiting.. 20:44:05 (10895): 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)