Task 5127397
| Name | ParityModified-1607233794-4305-89_1 |
| Workunit | 3079383 |
| 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, 12:51:03 UTC |
| Server state | Over |
| Outcome | Validate error |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 11140 |
| Run time | 40 min 32 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 08:10:17 (2699582): 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 08:10:17 main:442] : INFO : Set logging level to 1 [2021-05-02 08:10:17 main:448] : INFO : Running in BOINC Client mode [2021-05-02 08:10:17 main:451] : INFO : Resolving all filenames [2021-05-02 08:10:17 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1) [2021-05-02 08:10:17 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233794-4305-89_1_r961765815_1 (exists = 0) [2021-05-02 08:10:17 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233794-4305-89_1_r961765815_0 (exists = 0) [2021-05-02 08:10:17 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233794-4305-89 (exists = 1) [2021-05-02 08:10:17 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2021-05-02 08:10:17 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 [2021-05-02 08:10:17 main:481] : INFO : Configuration: [2021-05-02 08:10:17 main:482] : INFO : Model type: GRU [2021-05-02 08:10:17 main:483] : INFO : Validation Loss Threshold: 0.0001 [2021-05-02 08:10:17 main:484] : INFO : Max Epochs: 128 [2021-05-02 08:10:17 main:485] : INFO : Batch Size: 128 [2021-05-02 08:10:17 main:486] : INFO : Learning Rate: 0.01 [2021-05-02 08:10:17 main:487] : INFO : Patience: 10 [2021-05-02 08:10:17 main:488] : INFO : Hidden Width: 12 [2021-05-02 08:10:17 main:489] : INFO : # Recurrent Layers: 4 [2021-05-02 08:10:17 main:490] : INFO : # Backend Layers: 4 [2021-05-02 08:10:17 main:491] : INFO : # Threads: 1 [2021-05-02 08:10:17 main:493] : INFO : Preparing Dataset [2021-05-02 08:10:17 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 08:10:18 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 08:10:18 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-05-02 08:10:18 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 08:10:18 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 08:10:18 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-05-02 08:10:18 main:501] : INFO : Creating Model [2021-05-02 08:10:18 main:514] : INFO : Preparing config file [2021-05-02 08:10:18 main:526] : INFO : Creating new config file [2021-05-02 08:10:18 main:545] : INFO : This is a continuation WU, loading previous network [2021-05-02 08:10:19 main:566] : INFO : Loading DataLoader into Memory [2021-05-02 08:10:19 main:569] : INFO : Starting Training [2021-05-02 08:10:43 main:581] : INFO : Epoch 1 | loss: 0.0311786 | val_loss: 0.0311659 | Time: 23889.2 ms [2021-05-02 08:11:02 main:581] : INFO : Epoch 2 | loss: 0.0311569 | val_loss: 0.03116 | Time: 18920.1 ms [2021-05-02 08:11:21 main:581] : INFO : Epoch 3 | loss: 0.0311531 | val_loss: 0.0311601 | Time: 19136.3 ms [2021-05-02 08:11:40 main:581] : INFO : Epoch 4 | loss: 0.0311563 | val_loss: 0.0311649 | Time: 18940.3 ms [2021-05-02 08:11:59 main:581] : INFO : Epoch 5 | loss: 0.0311549 | val_loss: 0.0311606 | Time: 18904.6 ms [2021-05-02 08:12:18 main:581] : INFO : Epoch 6 | loss: 0.0311587 | val_loss: 0.0311604 | Time: 18989.1 ms [2021-05-02 08:12:37 main:581] : INFO : Epoch 7 | loss: 0.0311549 | val_loss: 0.0311577 | Time: 18940.7 ms [2021-05-02 08:12:56 main:581] : INFO : Epoch 8 | loss: 0.0311568 | val_loss: 0.0311617 | Time: 18974.4 ms [2021-05-02 08:13:15 main:581] : INFO : Epoch 9 | loss: 0.0311568 | val_loss: 0.031163 | Time: 18856.6 ms [2021-05-02 08:13:33 main:581] : INFO : Epoch 10 | loss: 0.0311579 | val_loss: 0.0311662 | Time: 18873.6 ms [2021-05-02 08:13:52 main:581] : INFO : Epoch 11 | loss: 0.0311595 | val_loss: 0.0311672 | Time: 18958 ms [2021-05-02 08:14:11 main:581] : INFO : Epoch 12 | loss: 0.0311606 | val_loss: 0.0311645 | Time: 19054.3 ms [2021-05-02 08:14:30 main:581] : INFO : Epoch 13 | loss: 0.0311592 | val_loss: 0.0311647 | Time: 19012.7 ms [2021-05-02 08:14:50 main:581] : INFO : Epoch 14 | loss: 0.0311565 | val_loss: 0.0311616 | Time: 19225.7 ms [2021-05-02 08:15:09 main:581] : INFO : Epoch 15 | loss: 0.0311571 | val_loss: 0.0311637 | Time: 18897.8 ms [2021-05-02 08:15:28 main:581] : INFO : Epoch 16 | loss: 0.0311565 | val_loss: 0.0311617 | Time: 18977.6 ms [2021-05-02 08:15:46 main:581] : INFO : Epoch 17 | loss: 0.0311553 | val_loss: 0.0311598 | Time: 18952.8 ms [2021-05-02 08:16:05 main:581] : INFO : Epoch 18 | loss: 0.0311544 | val_loss: 0.0311607 | Time: 18991.2 ms [2021-05-02 08:16:24 main:581] : INFO : Epoch 19 | loss: 0.0311549 | val_loss: 0.0311594 | Time: 18950.5 ms [2021-05-02 08:16:43 main:581] : INFO : Epoch 20 | loss: 0.0311545 | val_loss: 0.0311583 | Time: 19008.2 ms [2021-05-02 08:17:02 main:581] : INFO : Epoch 21 | loss: 0.0311532 | val_loss: 0.0311596 | Time: 18900 ms [2021-05-02 08:17:21 main:581] : INFO : Epoch 22 | loss: 0.0311559 | val_loss: 0.0311598 | Time: 18918.9 ms [2021-05-02 08:17:40 main:581] : INFO : Epoch 23 | loss: 0.0311548 | val_loss: 0.0311611 | Time: 18904.4 ms [2021-05-02 08:17:59 main:581] : INFO : Epoch 24 | loss: 0.0311548 | val_loss: 0.0311607 | Time: 18935.5 ms [2021-05-02 08:18:18 main:581] : INFO : Epoch 25 | loss: 0.0311548 | val_loss: 0.0311666 | Time: 18977.6 ms [2021-05-02 08:18:37 main:581] : INFO : Epoch 26 | loss: 0.0311566 | val_loss: 0.0311663 | Time: 18927 ms [2021-05-02 08:18:56 main:581] : INFO : Epoch 27 | loss: 0.0311569 | val_loss: 0.0311614 | Time: 18876.1 ms [2021-05-02 08:19:15 main:581] : INFO : Epoch 28 | loss: 0.0311535 | val_loss: 0.031162 | Time: 18934.4 ms [2021-05-02 08:19:34 main:581] : INFO : Epoch 29 | loss: 0.0311546 | val_loss: 0.0311655 | Time: 19060 ms [2021-05-02 08:19:53 main:581] : INFO : Epoch 30 | loss: 0.031155 | val_loss: 0.0311603 | Time: 18937.9 ms [2021-05-02 08:20:12 main:581] : INFO : Epoch 31 | loss: 0.0311569 | val_loss: 0.0311664 | Time: 19045.1 ms [2021-05-02 08:20:31 main:581] : INFO : Epoch 32 | loss: 0.0311594 | val_loss: 0.0311662 | Time: 18786.7 ms [2021-05-02 08:20:50 main:581] : INFO : Epoch 33 | loss: 0.0311572 | val_loss: 0.0311669 | Time: 18912.8 ms [2021-05-02 08:21:08 main:581] : INFO : Epoch 34 | loss: 0.0311591 | val_loss: 0.0311691 | Time: 18886.9 ms [2021-05-02 08:21:27 main:581] : INFO : Epoch 35 | loss: 0.031158 | val_loss: 0.0311669 | Time: 18838.9 ms [2021-05-02 08:21:46 main:581] : INFO : Epoch 36 | loss: 0.0311595 | val_loss: 0.0311673 | Time: 18902.4 ms [2021-05-02 08:22:05 main:581] : INFO : Epoch 37 | loss: 0.0311576 | val_loss: 0.0311633 | Time: 18922.5 ms [2021-05-02 08:22:24 main:581] : INFO : Epoch 38 | loss: 0.0311583 | val_loss: 0.0311608 | Time: 19004.3 ms [2021-05-02 08:22:43 main:581] : INFO : Epoch 39 | loss: 0.0311549 | val_loss: 0.0311616 | Time: 19048.7 ms [2021-05-02 08:23:02 main:581] : INFO : Epoch 40 | loss: 0.0311549 | val_loss: 0.031159 | Time: 18893.4 ms [2021-05-02 08:23:21 main:581] : INFO : Epoch 41 | loss: 0.0311539 | val_loss: 0.0311592 | Time: 18880.7 ms [2021-05-02 08:23:40 main:581] : INFO : Epoch 42 | loss: 0.031153 | val_loss: 0.0311605 | Time: 18926.3 ms [2021-05-02 08:23:59 main:581] : INFO : Epoch 43 | loss: 0.0311525 | val_loss: 0.0311581 | Time: 18847.3 ms [2021-05-02 08:24:18 main:581] : INFO : Epoch 44 | loss: 0.031151 | val_loss: 0.031157 | Time: 19041.4 ms [2021-05-02 08:24:37 main:581] : INFO : Epoch 45 | loss: 0.031151 | val_loss: 0.0311567 | Time: 18897.8 ms [2021-05-02 08:24:55 main:581] : INFO : Epoch 46 | loss: 0.0311518 | val_loss: 0.0311572 | Time: 18829.7 ms [2021-05-02 08:25:14 main:581] : INFO : Epoch 47 | loss: 0.0311502 | val_loss: 0.0311588 | Time: 18904.7 ms [2021-05-02 08:25:33 main:581] : INFO : Epoch 48 | loss: 0.0311494 | val_loss: 0.0311575 | Time: 18922.3 ms [2021-05-02 08:25:52 main:581] : INFO : Epoch 49 | loss: 0.0311498 | val_loss: 0.0311596 | Time: 18897.7 ms [2021-05-02 08:26:11 main:581] : INFO : Epoch 50 | loss: 0.0311524 | val_loss: 0.0311596 | Time: 18791.6 ms [2021-05-02 08:26:30 main:581] : INFO : Epoch 51 | loss: 0.0311517 | val_loss: 0.0311585 | Time: 18937.1 ms [2021-05-02 08:26:49 main:581] : INFO : Epoch 52 | loss: 0.0311514 | val_loss: 0.0311592 | Time: 18844.6 ms [2021-05-02 08:27:08 main:581] : INFO : Epoch 53 | loss: 0.0311525 | val_loss: 0.0311606 | Time: 18805.2 ms [2021-05-02 08:27:27 main:581] : INFO : Epoch 54 | loss: 0.0311516 | val_loss: 0.0311615 | Time: 18988.2 ms [2021-05-02 08:27:45 main:581] : INFO : Epoch 55 | loss: 0.0311535 | val_loss: 0.0311645 | Time: 18935.3 ms [2021-05-02 08:28:04 main:581] : INFO : Epoch 56 | loss: 0.0311541 | val_loss: 0.0311651 | Time: 18825.6 ms [2021-05-02 08:28:23 main:581] : INFO : Epoch 57 | loss: 0.0311536 | val_loss: 0.0311617 | Time: 18870.3 ms [2021-05-02 08:28:42 main:581] : INFO : Epoch 58 | loss: 0.0311541 | val_loss: 0.0311598 | Time: 18942.5 ms [2021-05-02 08:29:01 main:581] : INFO : Epoch 59 | loss: 0.0311526 | val_loss: 0.0311555 | Time: 18810.3 ms [2021-05-02 08:29:20 main:581] : INFO : Epoch 60 | loss: 0.0311497 | val_loss: 0.0311539 | Time: 18908.9 ms [2021-05-02 08:29:39 main:581] : INFO : Epoch 61 | loss: 0.031149 | val_loss: 0.0311538 | Time: 18862.9 ms [2021-05-02 08:29:58 main:581] : INFO : Epoch 62 | loss: 0.031149 | val_loss: 0.0311533 | Time: 18819.4 ms [2021-05-02 08:30:16 main:581] : INFO : Epoch 63 | loss: 0.031148 | val_loss: 0.0311533 | Time: 18913.5 ms [2021-05-02 08:30:35 main:581] : INFO : Epoch 64 | loss: 0.0311483 | val_loss: 0.0311542 | Time: 18908 ms [2021-05-02 08:30:54 main:581] : INFO : Epoch 65 | loss: 0.0311487 | val_loss: 0.0311538 | Time: 18976.1 ms [2021-05-02 08:31:13 main:581] : INFO : Epoch 66 | loss: 0.0311468 | val_loss: 0.0311571 | Time: 18847.6 ms [2021-05-02 08:31:32 main:581] : INFO : Epoch 67 | loss: 0.031147 | val_loss: 0.0311543 | Time: 18853.2 ms [2021-05-02 08:31:51 main:581] : INFO : Epoch 68 | loss: 0.0311459 | val_loss: 0.0311555 | Time: 18758.2 ms [2021-05-02 08:32:10 main:581] : INFO : Epoch 69 | loss: 0.0311456 | val_loss: 0.0311555 | Time: 18948.1 ms [2021-05-02 08:32:29 main:581] : INFO : Epoch 70 | loss: 0.0311474 | val_loss: 0.0311557 | Time: 18892.2 ms [2021-05-02 08:32:48 main:581] : INFO : Epoch 71 | loss: 0.031148 | val_loss: 0.0311564 | Time: 18973.5 ms [2021-05-02 08:33:06 main:581] : INFO : Epoch 72 | loss: 0.031147 | val_loss: 0.0311545 | Time: 18879.5 ms [2021-05-02 08:33:25 main:581] : INFO : Epoch 73 | loss: 0.0311469 | val_loss: 0.0311555 | Time: 18870.4 ms [2021-05-02 08:33:45 main:581] : INFO : Epoch 74 | loss: 0.0311499 | val_loss: 0.0311541 | Time: 19166.3 ms [2021-05-02 08:34:03 main:581] : INFO : Epoch 75 | loss: 0.0311527 | val_loss: 0.0311548 | Time: 18813.4 ms [2021-05-02 08:34:22 main:581] : INFO : Epoch 76 | loss: 0.0311528 | val_loss: 0.0311555 | Time: 18781.2 ms [2021-05-02 08:34:41 main:581] : INFO : Epoch 77 | loss: 0.0311529 | val_loss: 0.0311568 | Time: 19025.7 ms [2021-05-02 08:35:00 main:581] : INFO : Epoch 78 | loss: 0.0311518 | val_loss: 0.0311538 | Time: 18907.2 ms [2021-05-02 08:35:19 main:581] : INFO : Epoch 79 | loss: 0.031153 | val_loss: 0.0311533 | Time: 18985.1 ms [2021-05-02 08:35:38 main:581] : INFO : Epoch 80 | loss: 0.0311513 | val_loss: 0.0311568 | Time: 18957.5 ms [2021-05-02 08:35:57 main:581] : INFO : Epoch 81 | loss: 0.031152 | val_loss: 0.0311551 | Time: 18887.4 ms [2021-05-02 08:36:16 main:581] : INFO : Epoch 82 | loss: 0.0311522 | val_loss: 0.0311544 | Time: 18857.4 ms [2021-05-02 08:36:35 main:581] : INFO : Epoch 83 | loss: 0.03115 | val_loss: 0.0311578 | Time: 18878.5 ms [2021-05-02 08:36:54 main:581] : INFO : Epoch 84 | loss: 0.0311507 | val_loss: 0.0311554 | Time: 18955.5 ms [2021-05-02 08:37:12 main:581] : INFO : Epoch 85 | loss: 0.0311505 | val_loss: 0.0311573 | Time: 18906.6 ms [2021-05-02 08:37:31 main:581] : INFO : Epoch 86 | loss: 0.0311492 | val_loss: 0.0311562 | Time: 18850.2 ms [2021-05-02 08:37:50 main:581] : INFO : Epoch 87 | loss: 0.0311504 | val_loss: 0.0311603 | Time: 18842.5 ms [2021-05-02 08:38:09 main:581] : INFO : Epoch 88 | loss: 0.031156 | val_loss: 0.0311673 | Time: 18937.7 ms [2021-05-02 08:38:28 main:581] : INFO : Epoch 89 | loss: 0.0311588 | val_loss: 0.0311702 | Time: 18976 ms [2021-05-02 08:38:47 main:581] : INFO : Epoch 90 | loss: 0.0311576 | val_loss: 0.0311618 | Time: 18864.9 ms [2021-05-02 08:39:06 main:581] : INFO : Epoch 91 | loss: 0.0311557 | val_loss: 0.0311597 | Time: 18831.7 ms [2021-05-02 08:39:25 main:581] : INFO : Epoch 92 | loss: 0.0311529 | val_loss: 0.0311574 | Time: 18852.6 ms [2021-05-02 08:39:43 main:581] : INFO : Epoch 93 | loss: 0.0311522 | val_loss: 0.0311584 | Time: 18832.6 ms [2021-05-02 08:40:02 main:581] : INFO : Epoch 94 | loss: 0.0311519 | val_loss: 0.0311589 | Time: 18965.2 ms [2021-05-02 08:40:21 main:581] : INFO : Epoch 95 | loss: 0.0311508 | val_loss: 0.031158 | Time: 18911.5 ms [2021-05-02 08:40:40 main:581] : INFO : Epoch 96 | loss: 0.0311504 | val_loss: 0.0311569 | Time: 18826.7 ms [2021-05-02 08:40:59 main:581] : INFO : Epoch 97 | loss: 0.0311494 | val_loss: 0.031157 | Time: 18803.6 ms [2021-05-02 08:41:18 main:581] : INFO : Epoch 98 | loss: 0.0311492 | val_loss: 0.0311564 | Time: 18936.5 ms [2021-05-02 08:41:37 main:581] : INFO : Epoch 99 | loss: 0.0311513 | val_loss: 0.0311572 | Time: 18833.5 ms [2021-05-02 08:41:56 main:581] : INFO : Epoch 100 | loss: 0.031153 | val_loss: 0.0311582 | Time: 19072.1 ms [2021-05-02 08:42:15 main:581] : INFO : Epoch 101 | loss: 0.0311532 | val_loss: 0.0311599 | Time: 18823.8 ms [2021-05-02 08:42:33 main:581] : INFO : Epoch 102 | loss: 0.0311528 | val_loss: 0.0311663 | Time: 18836.8 ms [2021-05-02 08:42:52 main:581] : INFO : Epoch 103 | loss: 0.0311537 | val_loss: 0.031155 | Time: 18893.8 ms [2021-05-02 08:43:11 main:581] : INFO : Epoch 104 | loss: 0.0311519 | val_loss: 0.0311536 | Time: 18882.1 ms [2021-05-02 08:43:30 main:581] : INFO : Epoch 105 | loss: 0.0311511 | val_loss: 0.031153 | Time: 18830.6 ms [2021-05-02 08:43:49 main:581] : INFO : Epoch 106 | loss: 0.0311502 | val_loss: 0.0311531 | Time: 18806.9 ms [2021-05-02 08:44:08 main:581] : INFO : Epoch 107 | loss: 0.0311507 | val_loss: 0.0311556 | Time: 18954.1 ms [2021-05-02 08:44:27 main:581] : INFO : Epoch 108 | loss: 0.0311512 | val_loss: 0.0311559 | Time: 18896.1 ms [2021-05-02 08:44:46 main:581] : INFO : Epoch 109 | loss: 0.0311503 | val_loss: 0.0311555 | Time: 18845.4 ms [2021-05-02 08:45:05 main:581] : INFO : Epoch 110 | loss: 0.0311493 | val_loss: 0.0311567 | Time: 18947.1 ms [2021-05-02 08:45:23 main:581] : INFO : Epoch 111 | loss: 0.0311487 | val_loss: 0.0311541 | Time: 18926.9 ms [2021-05-02 08:45:43 main:581] : INFO : Epoch 112 | loss: 0.0311486 | val_loss: 0.0311523 | Time: 19072.8 ms [2021-05-02 08:46:02 main:581] : INFO : Epoch 113 | loss: 0.0311476 | val_loss: 0.0311529 | Time: 18988.7 ms [2021-05-02 08:46:20 main:581] : INFO : Epoch 114 | loss: 0.0311476 | val_loss: 0.0311528 | Time: 18870.5 ms [2021-05-02 08:46:39 main:581] : INFO : Epoch 115 | loss: 0.0311466 | val_loss: 0.0311503 | Time: 18931.6 ms [2021-05-02 08:46:58 main:581] : INFO : Epoch 116 | loss: 0.0311465 | val_loss: 0.0311553 | Time: 18922.6 ms [2021-05-02 08:47:17 main:581] : INFO : Epoch 117 | loss: 0.0311453 | val_loss: 0.0311518 | Time: 18990.6 ms [2021-05-02 08:47:36 main:581] : INFO : Epoch 118 | loss: 0.0311457 | val_loss: 0.031151 | Time: 19046.5 ms [2021-05-02 08:47:55 main:581] : INFO : Epoch 119 | loss: 0.0311479 | val_loss: 0.0311563 | Time: 18898.6 ms [2021-05-02 08:48:14 main:581] : INFO : Epoch 120 | loss: 0.0311516 | val_loss: 0.0311576 | Time: 18948.9 ms [2021-05-02 08:48:33 main:581] : INFO : Epoch 121 | loss: 0.0311524 | val_loss: 0.0311547 | Time: 18944.6 ms [2021-05-02 08:48:52 main:581] : INFO : Epoch 122 | loss: 0.0311501 | val_loss: 0.0311549 | Time: 18873.8 ms [2021-05-02 08:49:11 main:581] : INFO : Epoch 123 | loss: 0.0311493 | val_loss: 0.0311539 | Time: 18875.6 ms [2021-05-02 08:49:30 main:581] : INFO : Epoch 124 | loss: 0.0311509 | val_loss: 0.0311537 | Time: 18916.9 ms [2021-05-02 08:49:49 main:581] : INFO : Epoch 125 | loss: 0.0311513 | val_loss: 0.0311538 | Time: 18993.8 ms [2021-05-02 08:50:08 main:581] : INFO : Epoch 126 | loss: 0.031152 | val_loss: 0.0311552 | Time: 18957.7 ms [2021-05-02 08:50:27 main:581] : INFO : Epoch 127 | loss: 0.0311525 | val_loss: 0.0311581 | Time: 18841.1 ms [2021-05-02 08:50:45 main:581] : INFO : Epoch 128 | loss: 0.031152 | val_loss: 0.0311584 | Time: 18951.6 ms [2021-05-02 08:50:45 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0311584 [2021-05-02 08:50:45 main:610] : INFO : Saving end state to config to file [2021-05-02 08:50:45 main:615] : INFO : Success, exiting.. 08:50:45 (2699582): 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)