Task 5113802

Name ParityModified-1607233785-4023-38_4
Workunit 3030353
Created 28 Apr 2021, 6:01:02 UTC
Sent 1 May 2021, 22:34:19 UTC
Report deadline 8 May 2021, 22:34:19 UTC
Received 2 May 2021, 22:24:23 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
16:27:58 (380104): 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 16:27:58	                main:442]	:	INFO	:	Set logging level to 1
[2021-05-02 16:27:58	                main:448]	:	INFO	:	Running in BOINC Client mode
[2021-05-02 16:27:58	                main:451]	:	INFO	:	Resolving all filenames
[2021-05-02 16:27:58	                main:459]	:	INFO	:	Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1)
[2021-05-02 16:27:58	                main:459]	:	INFO	:	Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233785-4023-38_4_r812244238_1 (exists = 0)
[2021-05-02 16:27:58	                main:459]	:	INFO	:	Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233785-4023-38_4_r812244238_0 (exists = 0)
[2021-05-02 16:27:58	                main:459]	:	INFO	:	Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233785-4023-38 (exists = 1)
[2021-05-02 16:27:58	                main:459]	:	INFO	:	Resolved: snapshot.pt => snapshot.pt (exists = 0)
[2021-05-02 16:27:58	                main:479]	:	INFO	:	Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5
[2021-05-02 16:27:58	                main:481]	:	INFO	:	Configuration: 
[2021-05-02 16:27:58	                main:482]	:	INFO	:	    Model type: GRU
[2021-05-02 16:27:58	                main:483]	:	INFO	:	    Validation Loss Threshold: 0.0001
[2021-05-02 16:27:58	                main:484]	:	INFO	:	    Max Epochs: 128
[2021-05-02 16:27:58	                main:485]	:	INFO	:	    Batch Size: 128
[2021-05-02 16:27:58	                main:486]	:	INFO	:	    Learning Rate: 0.01
[2021-05-02 16:27:58	                main:487]	:	INFO	:	    Patience: 10
[2021-05-02 16:27:58	                main:488]	:	INFO	:	    Hidden Width: 12
[2021-05-02 16:27:58	                main:489]	:	INFO	:	    # Recurrent Layers: 4
[2021-05-02 16:27:58	                main:490]	:	INFO	:	    # Backend Layers: 4
[2021-05-02 16:27:58	                main:491]	:	INFO	:	    # Threads: 1
[2021-05-02 16:27:58	                main:493]	:	INFO	:	Preparing Dataset
[2021-05-02 16:27:58	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 16:27:58	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 16:27:59	                load:106]	:	INFO	:	Successfully loaded dataset of 2048 examples into memory.
[2021-05-02 16:27:59	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 16:27:59	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 16:27:59	                load:106]	:	INFO	:	Successfully loaded dataset of 512 examples into memory.
[2021-05-02 16:27:59	                main:501]	:	INFO	:	Creating Model
[2021-05-02 16:27:59	                main:514]	:	INFO	:	Preparing config file
[2021-05-02 16:27:59	                main:526]	:	INFO	:	Creating new config file
[2021-05-02 16:27:59	                main:545]	:	INFO	:	This is a continuation WU, loading previous network
[2021-05-02 16:27:59	                main:566]	:	INFO	:	Loading DataLoader into Memory
[2021-05-02 16:27:59	                main:569]	:	INFO	:	Starting Training
[2021-05-02 16:28:23	                main:581]	:	INFO	:	Epoch 1 | loss: 0.0312369 | val_loss: 0.0311921 | Time: 23772.1 ms
[2021-05-02 16:28:42	                main:581]	:	INFO	:	Epoch 2 | loss: 0.0311849 | val_loss: 0.0311721 | Time: 18810.5 ms
[2021-05-02 16:29:00	                main:581]	:	INFO	:	Epoch 3 | loss: 0.031172 | val_loss: 0.0311655 | Time: 18696.2 ms
[2021-05-02 16:29:19	                main:581]	:	INFO	:	Epoch 4 | loss: 0.031166 | val_loss: 0.0311652 | Time: 18812.2 ms
[2021-05-02 16:29:38	                main:581]	:	INFO	:	Epoch 5 | loss: 0.0311638 | val_loss: 0.0311595 | Time: 18763.6 ms
[2021-05-02 16:29:57	                main:581]	:	INFO	:	Epoch 6 | loss: 0.0311594 | val_loss: 0.0311606 | Time: 18874 ms
[2021-05-02 16:30:16	                main:581]	:	INFO	:	Epoch 7 | loss: 0.0311568 | val_loss: 0.0311556 | Time: 18769.4 ms
[2021-05-02 16:30:35	                main:581]	:	INFO	:	Epoch 8 | loss: 0.031154 | val_loss: 0.0311534 | Time: 19007 ms
[2021-05-02 16:30:53	                main:581]	:	INFO	:	Epoch 9 | loss: 0.0311562 | val_loss: 0.0311545 | Time: 18657 ms
[2021-05-02 16:31:12	                main:581]	:	INFO	:	Epoch 10 | loss: 0.0311544 | val_loss: 0.0311514 | Time: 18787.5 ms
[2021-05-02 16:31:31	                main:581]	:	INFO	:	Epoch 11 | loss: 0.0311521 | val_loss: 0.0311494 | Time: 18631.9 ms
[2021-05-02 16:31:49	                main:581]	:	INFO	:	Epoch 12 | loss: 0.0311509 | val_loss: 0.0311514 | Time: 18705.8 ms
[2021-05-02 16:32:08	                main:581]	:	INFO	:	Epoch 13 | loss: 0.0311494 | val_loss: 0.0311477 | Time: 18777.5 ms
[2021-05-02 16:32:27	                main:581]	:	INFO	:	Epoch 14 | loss: 0.0311484 | val_loss: 0.0311474 | Time: 18792.5 ms
[2021-05-02 16:32:46	                main:581]	:	INFO	:	Epoch 15 | loss: 0.0311477 | val_loss: 0.0311509 | Time: 18898.3 ms
[2021-05-02 16:33:05	                main:581]	:	INFO	:	Epoch 16 | loss: 0.0311482 | val_loss: 0.0311463 | Time: 18868.7 ms
[2021-05-02 16:33:24	                main:581]	:	INFO	:	Epoch 17 | loss: 0.0311459 | val_loss: 0.0311446 | Time: 19589.4 ms
[2021-05-02 16:33:43	                main:581]	:	INFO	:	Epoch 18 | loss: 0.0311451 | val_loss: 0.0311471 | Time: 18707.6 ms
[2021-05-02 16:34:02	                main:581]	:	INFO	:	Epoch 19 | loss: 0.0311443 | val_loss: 0.0311465 | Time: 18679.2 ms
[2021-05-02 16:34:21	                main:581]	:	INFO	:	Epoch 20 | loss: 0.0311435 | val_loss: 0.031144 | Time: 18691.7 ms
[2021-05-02 16:34:39	                main:581]	:	INFO	:	Epoch 21 | loss: 0.0311423 | val_loss: 0.0311443 | Time: 18829.2 ms
[2021-05-02 16:34:58	                main:581]	:	INFO	:	Epoch 22 | loss: 0.0311431 | val_loss: 0.0311447 | Time: 18725.5 ms
[2021-05-02 16:35:17	                main:581]	:	INFO	:	Epoch 23 | loss: 0.0311413 | val_loss: 0.0311493 | Time: 18667.9 ms
[2021-05-02 16:35:35	                main:581]	:	INFO	:	Epoch 24 | loss: 0.0311423 | val_loss: 0.0311446 | Time: 18648 ms
[2021-05-02 16:35:54	                main:581]	:	INFO	:	Epoch 25 | loss: 0.0311394 | val_loss: 0.0311446 | Time: 18862.2 ms
[2021-05-02 16:36:13	                main:581]	:	INFO	:	Epoch 26 | loss: 0.0311385 | val_loss: 0.0311424 | Time: 18630.2 ms
[2021-05-02 16:36:32	                main:581]	:	INFO	:	Epoch 27 | loss: 0.0311377 | val_loss: 0.0311429 | Time: 18751.6 ms
[2021-05-02 16:36:50	                main:581]	:	INFO	:	Epoch 28 | loss: 0.0311371 | val_loss: 0.0311447 | Time: 18611.9 ms
[2021-05-02 16:37:09	                main:581]	:	INFO	:	Epoch 29 | loss: 0.0311365 | val_loss: 0.0311431 | Time: 18677.8 ms
[2021-05-02 16:37:28	                main:581]	:	INFO	:	Epoch 30 | loss: 0.0311358 | val_loss: 0.0311446 | Time: 18768.2 ms
[2021-05-02 16:37:47	                main:581]	:	INFO	:	Epoch 31 | loss: 0.0311355 | val_loss: 0.0311456 | Time: 18890 ms
[2021-05-02 16:38:05	                main:581]	:	INFO	:	Epoch 32 | loss: 0.0311372 | val_loss: 0.031146 | Time: 18834.4 ms
[2021-05-02 16:38:24	                main:581]	:	INFO	:	Epoch 33 | loss: 0.0311381 | val_loss: 0.0311458 | Time: 18805 ms
[2021-05-02 16:38:43	                main:581]	:	INFO	:	Epoch 34 | loss: 0.0311389 | val_loss: 0.0311449 | Time: 18796.1 ms
[2021-05-02 16:39:02	                main:581]	:	INFO	:	Epoch 35 | loss: 0.031141 | val_loss: 0.0311459 | Time: 18826.1 ms
[2021-05-02 16:39:21	                main:581]	:	INFO	:	Epoch 36 | loss: 0.0311409 | val_loss: 0.0311472 | Time: 18764.9 ms
[2021-05-02 16:39:39	                main:581]	:	INFO	:	Epoch 37 | loss: 0.0311389 | val_loss: 0.0311462 | Time: 18752.3 ms
[2021-05-02 16:39:58	                main:581]	:	INFO	:	Epoch 38 | loss: 0.0311376 | val_loss: 0.0311454 | Time: 18759.8 ms
[2021-05-02 16:40:17	                main:581]	:	INFO	:	Epoch 39 | loss: 0.0311377 | val_loss: 0.0311462 | Time: 18730.2 ms
[2021-05-02 16:40:36	                main:581]	:	INFO	:	Epoch 40 | loss: 0.0311359 | val_loss: 0.0311463 | Time: 18866.1 ms
[2021-05-02 16:40:54	                main:581]	:	INFO	:	Epoch 41 | loss: 0.0311366 | val_loss: 0.0311472 | Time: 18650.7 ms
[2021-05-02 16:41:13	                main:581]	:	INFO	:	Epoch 42 | loss: 0.0311347 | val_loss: 0.0311463 | Time: 18815 ms
[2021-05-02 16:41:32	                main:581]	:	INFO	:	Epoch 43 | loss: 0.0311345 | val_loss: 0.0311448 | Time: 18815.6 ms
[2021-05-02 16:41:51	                main:581]	:	INFO	:	Epoch 44 | loss: 0.0311342 | val_loss: 0.0311474 | Time: 18899.8 ms
[2021-05-02 16:42:10	                main:581]	:	INFO	:	Epoch 45 | loss: 0.0311321 | val_loss: 0.0311461 | Time: 18679.8 ms
[2021-05-02 16:42:29	                main:581]	:	INFO	:	Epoch 46 | loss: 0.0311326 | val_loss: 0.031152 | Time: 18950.5 ms
[2021-05-02 16:42:47	                main:581]	:	INFO	:	Epoch 47 | loss: 0.0311323 | val_loss: 0.0311493 | Time: 18840.6 ms
[2021-05-02 16:43:06	                main:581]	:	INFO	:	Epoch 48 | loss: 0.0311319 | val_loss: 0.0311495 | Time: 18683.2 ms
[2021-05-02 16:43:25	                main:581]	:	INFO	:	Epoch 49 | loss: 0.0311342 | val_loss: 0.0311501 | Time: 18683.1 ms
[2021-05-02 16:43:44	                main:581]	:	INFO	:	Epoch 50 | loss: 0.0311361 | val_loss: 0.0311483 | Time: 18795.1 ms
[2021-05-02 16:44:02	                main:581]	:	INFO	:	Epoch 51 | loss: 0.0311379 | val_loss: 0.0311504 | Time: 18713.4 ms
[2021-05-02 16:44:21	                main:581]	:	INFO	:	Epoch 52 | loss: 0.031134 | val_loss: 0.0311517 | Time: 18751.3 ms
[2021-05-02 16:44:40	                main:581]	:	INFO	:	Epoch 53 | loss: 0.031133 | val_loss: 0.0311475 | Time: 18874.8 ms
[2021-05-02 16:44:59	                main:581]	:	INFO	:	Epoch 54 | loss: 0.0311331 | val_loss: 0.0311487 | Time: 18883.2 ms
[2021-05-02 16:45:18	                main:581]	:	INFO	:	Epoch 55 | loss: 0.0311322 | val_loss: 0.031148 | Time: 18806.2 ms
[2021-05-02 16:45:36	                main:581]	:	INFO	:	Epoch 56 | loss: 0.0311311 | val_loss: 0.0311484 | Time: 18708.9 ms
[2021-05-02 16:45:55	                main:581]	:	INFO	:	Epoch 57 | loss: 0.0311321 | val_loss: 0.0311465 | Time: 18844.1 ms
[2021-05-02 16:46:14	                main:581]	:	INFO	:	Epoch 58 | loss: 0.0311324 | val_loss: 0.0311476 | Time: 18670.8 ms
[2021-05-02 16:46:33	                main:581]	:	INFO	:	Epoch 59 | loss: 0.0311318 | val_loss: 0.0311471 | Time: 18818.9 ms
[2021-05-02 16:46:51	                main:581]	:	INFO	:	Epoch 60 | loss: 0.0311321 | val_loss: 0.0311481 | Time: 18774.7 ms
[2021-05-02 16:47:10	                main:581]	:	INFO	:	Epoch 61 | loss: 0.03113 | val_loss: 0.031151 | Time: 18777.4 ms
[2021-05-02 16:47:29	                main:581]	:	INFO	:	Epoch 62 | loss: 0.0311313 | val_loss: 0.0311468 | Time: 18808 ms
[2021-05-02 16:47:48	                main:581]	:	INFO	:	Epoch 63 | loss: 0.0311321 | val_loss: 0.0311463 | Time: 18752.2 ms
[2021-05-02 16:48:06	                main:581]	:	INFO	:	Epoch 64 | loss: 0.0311322 | val_loss: 0.0311469 | Time: 18765.3 ms
[2021-05-02 16:48:25	                main:581]	:	INFO	:	Epoch 65 | loss: 0.0311305 | val_loss: 0.0311477 | Time: 18773.5 ms
[2021-05-02 16:48:44	                main:581]	:	INFO	:	Epoch 66 | loss: 0.0311295 | val_loss: 0.0311466 | Time: 18801.6 ms
[2021-05-02 16:49:03	                main:581]	:	INFO	:	Epoch 67 | loss: 0.0311283 | val_loss: 0.03115 | Time: 18884.1 ms
[2021-05-02 16:49:22	                main:581]	:	INFO	:	Epoch 68 | loss: 0.0311284 | val_loss: 0.0311496 | Time: 18861.9 ms
[2021-05-02 16:49:41	                main:581]	:	INFO	:	Epoch 69 | loss: 0.0311297 | val_loss: 0.0311528 | Time: 18711.2 ms
[2021-05-02 16:49:59	                main:581]	:	INFO	:	Epoch 70 | loss: 0.0311303 | val_loss: 0.0311449 | Time: 18858 ms
[2021-05-02 16:50:18	                main:581]	:	INFO	:	Epoch 71 | loss: 0.0311299 | val_loss: 0.0311452 | Time: 18881.9 ms
[2021-05-02 16:50:37	                main:581]	:	INFO	:	Epoch 72 | loss: 0.0311274 | val_loss: 0.0311454 | Time: 18787.2 ms
[2021-05-02 16:50:56	                main:581]	:	INFO	:	Epoch 73 | loss: 0.031128 | val_loss: 0.0311492 | Time: 18681.4 ms
[2021-05-02 16:51:15	                main:581]	:	INFO	:	Epoch 74 | loss: 0.0311302 | val_loss: 0.0311442 | Time: 18810.4 ms
[2021-05-02 16:51:33	                main:581]	:	INFO	:	Epoch 75 | loss: 0.0311292 | val_loss: 0.0311469 | Time: 18747.6 ms
[2021-05-02 16:51:52	                main:581]	:	INFO	:	Epoch 76 | loss: 0.031127 | val_loss: 0.0311443 | Time: 18817.5 ms
[2021-05-02 16:52:11	                main:581]	:	INFO	:	Epoch 77 | loss: 0.0311294 | val_loss: 0.031153 | Time: 18735.9 ms
[2021-05-02 16:52:30	                main:581]	:	INFO	:	Epoch 78 | loss: 0.0311298 | val_loss: 0.031144 | Time: 18798.4 ms
[2021-05-02 16:52:48	                main:581]	:	INFO	:	Epoch 79 | loss: 0.0311291 | val_loss: 0.031148 | Time: 18809.5 ms
[2021-05-02 16:53:07	                main:581]	:	INFO	:	Epoch 80 | loss: 0.0311314 | val_loss: 0.0311472 | Time: 18739 ms
[2021-05-02 16:53:26	                main:581]	:	INFO	:	Epoch 81 | loss: 0.0311293 | val_loss: 0.0311455 | Time: 18754.4 ms
[2021-05-02 16:53:45	                main:581]	:	INFO	:	Epoch 82 | loss: 0.0311289 | val_loss: 0.0311477 | Time: 18778.3 ms
[2021-05-02 16:54:03	                main:581]	:	INFO	:	Epoch 83 | loss: 0.0311313 | val_loss: 0.0311494 | Time: 18737.5 ms
[2021-05-02 16:54:22	                main:581]	:	INFO	:	Epoch 84 | loss: 0.0311295 | val_loss: 0.0311466 | Time: 19056.4 ms
[2021-05-02 16:54:42	                main:581]	:	INFO	:	Epoch 85 | loss: 0.0311284 | val_loss: 0.0311476 | Time: 19205.5 ms
[2021-05-02 16:55:01	                main:581]	:	INFO	:	Epoch 86 | loss: 0.0311263 | val_loss: 0.0311484 | Time: 19250.1 ms
[2021-05-02 16:55:20	                main:581]	:	INFO	:	Epoch 87 | loss: 0.0311256 | val_loss: 0.0311479 | Time: 18956.3 ms
[2021-05-02 16:55:40	                main:581]	:	INFO	:	Epoch 88 | loss: 0.0311246 | val_loss: 0.0311489 | Time: 20381 ms
[2021-05-02 16:56:00	                main:581]	:	INFO	:	Epoch 89 | loss: 0.0311252 | val_loss: 0.0311478 | Time: 19652.8 ms
[2021-05-02 16:56:20	                main:581]	:	INFO	:	Epoch 90 | loss: 0.0311266 | val_loss: 0.0311513 | Time: 19667.7 ms
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
16:57:16 (517427): 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 16:57:16	                main:442]	:	INFO	:	Set logging level to 1
[2021-05-02 16:57:16	                main:448]	:	INFO	:	Running in BOINC Client mode
[2021-05-02 16:57:16	                main:451]	:	INFO	:	Resolving all filenames
[2021-05-02 16:57:16	                main:459]	:	INFO	:	Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1)
[2021-05-02 16:57:16	                main:459]	:	INFO	:	Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233785-4023-38_4_r812244238_1 (exists = 1)
[2021-05-02 16:57:16	                main:459]	:	INFO	:	Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233785-4023-38_4_r812244238_0 (exists = 0)
[2021-05-02 16:57:16	                main:459]	:	INFO	:	Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233785-4023-38 (exists = 1)
[2021-05-02 16:57:16	                main:459]	:	INFO	:	Resolved: snapshot.pt => snapshot.pt (exists = 0)
[2021-05-02 16:57:16	                main:479]	:	INFO	:	Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5
[2021-05-02 16:57:16	                main:481]	:	INFO	:	Configuration: 
[2021-05-02 16:57:16	                main:482]	:	INFO	:	    Model type: GRU
[2021-05-02 16:57:16	                main:483]	:	INFO	:	    Validation Loss Threshold: 0.0001
[2021-05-02 16:57:16	                main:484]	:	INFO	:	    Max Epochs: 128
[2021-05-02 16:57:16	                main:485]	:	INFO	:	    Batch Size: 128
[2021-05-02 16:57:16	                main:486]	:	INFO	:	    Learning Rate: 0.01
[2021-05-02 16:57:16	                main:487]	:	INFO	:	    Patience: 10
[2021-05-02 16:57:16	                main:488]	:	INFO	:	    Hidden Width: 12
[2021-05-02 16:57:16	                main:489]	:	INFO	:	    # Recurrent Layers: 4
[2021-05-02 16:57:16	                main:490]	:	INFO	:	    # Backend Layers: 4
[2021-05-02 16:57:16	                main:491]	:	INFO	:	    # Threads: 1
[2021-05-02 16:57:16	                main:493]	:	INFO	:	Preparing Dataset
[2021-05-02 16:57:16	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 16:57:16	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 16:57:17	                load:106]	:	INFO	:	Successfully loaded dataset of 2048 examples into memory.
[2021-05-02 16:57:17	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 16:57:17	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 16:57:17	                load:106]	:	INFO	:	Successfully loaded dataset of 512 examples into memory.
[2021-05-02 16:57:17	                main:501]	:	INFO	:	Creating Model
[2021-05-02 16:57:17	                main:514]	:	INFO	:	Preparing config file
[2021-05-02 16:57:17	                main:526]	:	INFO	:	Creating new config file
[2021-05-02 16:57:17	                main:545]	:	INFO	:	This is a continuation WU, loading previous network
[2021-05-02 16:57:17	                main:566]	:	INFO	:	Loading DataLoader into Memory
[2021-05-02 16:57:17	                main:569]	:	INFO	:	Starting Training
[2021-05-02 16:57:43	                main:581]	:	INFO	:	Epoch 1 | loss: 0.0312376 | val_loss: 0.0311879 | Time: 26045.5 ms
[2021-05-02 16:58:04	                main:581]	:	INFO	:	Epoch 2 | loss: 0.0311844 | val_loss: 0.031174 | Time: 20785.1 ms
[2021-05-02 16:58:25	                main:581]	:	INFO	:	Epoch 3 | loss: 0.0311745 | val_loss: 0.0311695 | Time: 21196.4 ms
[2021-05-02 16:58:46	                main:581]	:	INFO	:	Epoch 4 | loss: 0.0311678 | val_loss: 0.0311631 | Time: 21344.5 ms
[2021-05-02 16:59:07	                main:581]	:	INFO	:	Epoch 5 | loss: 0.0311627 | val_loss: 0.0311587 | Time: 21176.1 ms
[2021-05-02 16:59:28	                main:581]	:	INFO	:	Epoch 6 | loss: 0.0311595 | val_loss: 0.0311562 | Time: 20790 ms
[2021-05-02 16:59:49	                main:581]	:	INFO	:	Epoch 7 | loss: 0.0311565 | val_loss: 0.0311524 | Time: 20653.4 ms
[2021-05-02 17:00:09	                main:581]	:	INFO	:	Epoch 8 | loss: 0.0311513 | val_loss: 0.0311494 | Time: 20402.6 ms
[2021-05-02 17:00:30	                main:581]	:	INFO	:	Epoch 9 | loss: 0.0311486 | val_loss: 0.0311504 | Time: 20241.4 ms
[2021-05-02 17:00:50	                main:581]	:	INFO	:	Epoch 10 | loss: 0.0311491 | val_loss: 0.0311485 | Time: 20619.3 ms
[2021-05-02 17:01:11	                main:581]	:	INFO	:	Epoch 11 | loss: 0.0311442 | val_loss: 0.0311489 | Time: 20368.5 ms
[2021-05-02 17:01:31	                main:581]	:	INFO	:	Epoch 12 | loss: 0.031143 | val_loss: 0.0311489 | Time: 20535.9 ms
[2021-05-02 17:01:52	                main:581]	:	INFO	:	Epoch 13 | loss: 0.0311408 | val_loss: 0.0311506 | Time: 20439.8 ms
[2021-05-02 17:02:12	                main:581]	:	INFO	:	Epoch 14 | loss: 0.03114 | val_loss: 0.0311448 | Time: 20371.2 ms
[2021-05-02 17:02:32	                main:581]	:	INFO	:	Epoch 15 | loss: 0.0311394 | val_loss: 0.0311493 | Time: 20536.6 ms
[2021-05-02 17:02:53	                main:581]	:	INFO	:	Epoch 16 | loss: 0.0311451 | val_loss: 0.031151 | Time: 20654.1 ms
[2021-05-02 17:03:13	                main:581]	:	INFO	:	Epoch 17 | loss: 0.0311442 | val_loss: 0.0311491 | Time: 20125.2 ms
[2021-05-02 17:03:34	                main:581]	:	INFO	:	Epoch 18 | loss: 0.0311412 | val_loss: 0.0311436 | Time: 20467.1 ms
[2021-05-02 17:03:54	                main:581]	:	INFO	:	Epoch 19 | loss: 0.0311387 | val_loss: 0.0311439 | Time: 19976.9 ms
[2021-05-02 17:04:14	                main:581]	:	INFO	:	Epoch 20 | loss: 0.0311372 | val_loss: 0.0311428 | Time: 20371.7 ms
[2021-05-02 17:04:35	                main:581]	:	INFO	:	Epoch 21 | loss: 0.0311393 | val_loss: 0.0311456 | Time: 20531.5 ms
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
17:43:34 (755483): 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 17:43:34	                main:442]	:	INFO	:	Set logging level to 1
[2021-05-02 17:43:34	                main:448]	:	INFO	:	Running in BOINC Client mode
[2021-05-02 17:43:34	                main:451]	:	INFO	:	Resolving all filenames
[2021-05-02 17:43:34	                main:459]	:	INFO	:	Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1)
[2021-05-02 17:43:34	                main:459]	:	INFO	:	Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233785-4023-38_4_r812244238_1 (exists = 1)
[2021-05-02 17:43:34	                main:459]	:	INFO	:	Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233785-4023-38_4_r812244238_0 (exists = 0)
[2021-05-02 17:43:34	                main:459]	:	INFO	:	Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233785-4023-38 (exists = 1)
[2021-05-02 17:43:34	                main:459]	:	INFO	:	Resolved: snapshot.pt => snapshot.pt (exists = 0)
[2021-05-02 17:43:34	                main:479]	:	INFO	:	Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5
[2021-05-02 17:43:34	                main:481]	:	INFO	:	Configuration: 
[2021-05-02 17:43:34	                main:482]	:	INFO	:	    Model type: GRU
[2021-05-02 17:43:34	                main:483]	:	INFO	:	    Validation Loss Threshold: 0.0001
[2021-05-02 17:43:34	                main:484]	:	INFO	:	    Max Epochs: 128
[2021-05-02 17:43:34	                main:485]	:	INFO	:	    Batch Size: 128
[2021-05-02 17:43:34	                main:486]	:	INFO	:	    Learning Rate: 0.01
[2021-05-02 17:43:34	                main:487]	:	INFO	:	    Patience: 10
[2021-05-02 17:43:34	                main:488]	:	INFO	:	    Hidden Width: 12
[2021-05-02 17:43:34	                main:489]	:	INFO	:	    # Recurrent Layers: 4
[2021-05-02 17:43:34	                main:490]	:	INFO	:	    # Backend Layers: 4
[2021-05-02 17:43:34	                main:491]	:	INFO	:	    # Threads: 1
[2021-05-02 17:43:34	                main:493]	:	INFO	:	Preparing Dataset
[2021-05-02 17:43:34	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 17:43:34	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 17:43:34	                load:106]	:	INFO	:	Successfully loaded dataset of 2048 examples into memory.
[2021-05-02 17:43:34	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 17:43:35	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 17:43:35	                load:106]	:	INFO	:	Successfully loaded dataset of 512 examples into memory.
[2021-05-02 17:43:35	                main:501]	:	INFO	:	Creating Model
[2021-05-02 17:43:35	                main:514]	:	INFO	:	Preparing config file
[2021-05-02 17:43:35	                main:526]	:	INFO	:	Creating new config file
[2021-05-02 17:43:35	                main:545]	:	INFO	:	This is a continuation WU, loading previous network
[2021-05-02 17:43:35	                main:566]	:	INFO	:	Loading DataLoader into Memory
[2021-05-02 17:43:35	                main:569]	:	INFO	:	Starting Training
[2021-05-02 17:43:57	                main:581]	:	INFO	:	Epoch 1 | loss: 0.0312309 | val_loss: 0.0311825 | Time: 22745.7 ms
[2021-05-02 17:44:16	                main:581]	:	INFO	:	Epoch 2 | loss: 0.0311858 | val_loss: 0.0311722 | Time: 18837.3 ms
[2021-05-02 17:44:35	                main:581]	:	INFO	:	Epoch 3 | loss: 0.0311727 | val_loss: 0.0311626 | Time: 19164.8 ms
[2021-05-02 17:44:54	                main:581]	:	INFO	:	Epoch 4 | loss: 0.0311636 | val_loss: 0.0311618 | Time: 19130.9 ms
[2021-05-02 17:45:14	                main:581]	:	INFO	:	Epoch 5 | loss: 0.031158 | val_loss: 0.0311574 | Time: 19174.3 ms
[2021-05-02 17:45:33	                main:581]	:	INFO	:	Epoch 6 | loss: 0.0311541 | val_loss: 0.031155 | Time: 19208.7 ms
[2021-05-02 17:45:52	                main:581]	:	INFO	:	Epoch 7 | loss: 0.0311503 | val_loss: 0.0311562 | Time: 19224.4 ms
[2021-05-02 17:46:11	                main:581]	:	INFO	:	Epoch 8 | loss: 0.0311523 | val_loss: 0.0311577 | Time: 18908.5 ms
[2021-05-02 17:46:30	                main:581]	:	INFO	:	Epoch 9 | loss: 0.031151 | val_loss: 0.0311556 | Time: 18990.4 ms
[2021-05-02 17:46:49	                main:581]	:	INFO	:	Epoch 10 | loss: 0.0311486 | val_loss: 0.0311487 | Time: 19161.4 ms
[2021-05-02 17:47:08	                main:581]	:	INFO	:	Epoch 11 | loss: 0.031146 | val_loss: 0.031148 | Time: 19019.4 ms
[2021-05-02 17:47:27	                main:581]	:	INFO	:	Epoch 12 | loss: 0.031146 | val_loss: 0.0311457 | Time: 19041.6 ms
[2021-05-02 17:47:46	                main:581]	:	INFO	:	Epoch 13 | loss: 0.0311467 | val_loss: 0.031149 | Time: 18818 ms
[2021-05-02 17:48:05	                main:581]	:	INFO	:	Epoch 14 | loss: 0.0311457 | val_loss: 0.031149 | Time: 19038.8 ms
[2021-05-02 17:48:24	                main:581]	:	INFO	:	Epoch 15 | loss: 0.0311444 | val_loss: 0.0311488 | Time: 18923.2 ms
[2021-05-02 17:48:43	                main:581]	:	INFO	:	Epoch 16 | loss: 0.0311436 | val_loss: 0.0311458 | Time: 18830.7 ms
[2021-05-02 17:49:02	                main:581]	:	INFO	:	Epoch 17 | loss: 0.0311435 | val_loss: 0.0311487 | Time: 18859.1 ms
[2021-05-02 17:49:21	                main:581]	:	INFO	:	Epoch 18 | loss: 0.0311498 | val_loss: 0.0311622 | Time: 19016.8 ms
[2021-05-02 17:49:40	                main:581]	:	INFO	:	Epoch 19 | loss: 0.031163 | val_loss: 0.0311637 | Time: 18951.7 ms
[2021-05-02 17:49:59	                main:581]	:	INFO	:	Epoch 20 | loss: 0.031163 | val_loss: 0.0311664 | Time: 19001.3 ms
[2021-05-02 17:50:18	                main:581]	:	INFO	:	Epoch 21 | loss: 0.0311584 | val_loss: 0.0311602 | Time: 19067.1 ms
[2021-05-02 17:50:37	                main:581]	:	INFO	:	Epoch 22 | loss: 0.0311598 | val_loss: 0.0311529 | Time: 18973.9 ms
[2021-05-02 17:50:56	                main:581]	:	INFO	:	Epoch 23 | loss: 0.0311539 | val_loss: 0.0311505 | Time: 19114.8 ms
[2021-05-02 17:51:15	                main:581]	:	INFO	:	Epoch 24 | loss: 0.0311519 | val_loss: 0.0311524 | Time: 18927.3 ms
[2021-05-02 17:51:34	                main:581]	:	INFO	:	Epoch 25 | loss: 0.0311518 | val_loss: 0.0311535 | Time: 19055.5 ms
[2021-05-02 17:51:53	                main:581]	:	INFO	:	Epoch 26 | loss: 0.031153 | val_loss: 0.0311492 | Time: 19066.7 ms
[2021-05-02 17:52:12	                main:581]	:	INFO	:	Epoch 27 | loss: 0.031148 | val_loss: 0.0311532 | Time: 19048.5 ms
[2021-05-02 17:52:31	                main:581]	:	INFO	:	Epoch 28 | loss: 0.031148 | val_loss: 0.0311493 | Time: 18977.6 ms
[2021-05-02 17:52:50	                main:581]	:	INFO	:	Epoch 29 | loss: 0.0311456 | val_loss: 0.0311493 | Time: 19014.5 ms
[2021-05-02 17:53:09	                main:581]	:	INFO	:	Epoch 30 | loss: 0.0311443 | val_loss: 0.0311492 | Time: 19244.2 ms
[2021-05-02 17:53:28	                main:581]	:	INFO	:	Epoch 31 | loss: 0.0311444 | val_loss: 0.0311507 | Time: 19205.6 ms
[2021-05-02 17:53:48	                main:581]	:	INFO	:	Epoch 32 | loss: 0.0311432 | val_loss: 0.0311493 | Time: 19197.4 ms
[2021-05-02 17:54:07	                main:581]	:	INFO	:	Epoch 33 | loss: 0.0311414 | val_loss: 0.0311467 | Time: 19103.5 ms
[2021-05-02 17:54:26	                main:581]	:	INFO	:	Epoch 34 | loss: 0.0311416 | val_loss: 0.0311469 | Time: 19088.7 ms
[2021-05-02 17:54:45	                main:581]	:	INFO	:	Epoch 35 | loss: 0.031142 | val_loss: 0.0311461 | Time: 18973.7 ms
[2021-05-02 17:55:04	                main:581]	:	INFO	:	Epoch 36 | loss: 0.0311398 | val_loss: 0.0311467 | Time: 18873.1 ms
[2021-05-02 17:55:23	                main:581]	:	INFO	:	Epoch 37 | loss: 0.0311386 | val_loss: 0.0311512 | Time: 19045.2 ms
[2021-05-02 17:55:42	                main:581]	:	INFO	:	Epoch 38 | loss: 0.0311398 | val_loss: 0.0311502 | Time: 18956.8 ms
[2021-05-02 17:56:01	                main:581]	:	INFO	:	Epoch 39 | loss: 0.0311391 | val_loss: 0.0311475 | Time: 19012.1 ms
[2021-05-02 17:56:20	                main:581]	:	INFO	:	Epoch 40 | loss: 0.0311362 | val_loss: 0.0311482 | Time: 18969.1 ms
[2021-05-02 17:56:39	                main:581]	:	INFO	:	Epoch 41 | loss: 0.0311377 | val_loss: 0.031151 | Time: 19020.2 ms
[2021-05-02 17:56:58	                main:581]	:	INFO	:	Epoch 42 | loss: 0.0311361 | val_loss: 0.031152 | Time: 18952.9 ms
[2021-05-02 17:57:17	                main:581]	:	INFO	:	Epoch 43 | loss: 0.0311395 | val_loss: 0.0311511 | Time: 18968.4 ms
[2021-05-02 17:57:36	                main:581]	:	INFO	:	Epoch 44 | loss: 0.031145 | val_loss: 0.0311487 | Time: 19056 ms
[2021-05-02 17:57:55	                main:581]	:	INFO	:	Epoch 45 | loss: 0.0311412 | val_loss: 0.0311439 | Time: 18980.8 ms
[2021-05-02 17:58:14	                main:581]	:	INFO	:	Epoch 46 | loss: 0.0311387 | val_loss: 0.0311456 | Time: 18996.5 ms
[2021-05-02 17:58:33	                main:581]	:	INFO	:	Epoch 47 | loss: 0.0311385 | val_loss: 0.0311442 | Time: 19005 ms
[2021-05-02 17:58:52	                main:581]	:	INFO	:	Epoch 48 | loss: 0.0311383 | val_loss: 0.0311453 | Time: 18961.6 ms
[2021-05-02 17:59:10	                main:581]	:	INFO	:	Epoch 49 | loss: 0.0311359 | val_loss: 0.0311444 | Time: 18963.7 ms
[2021-05-02 17:59:29	                main:581]	:	INFO	:	Epoch 50 | loss: 0.0311345 | val_loss: 0.0311434 | Time: 18937 ms
[2021-05-02 17:59:48	                main:581]	:	INFO	:	Epoch 51 | loss: 0.0311333 | val_loss: 0.0311419 | Time: 18904.6 ms
[2021-05-02 18:00:07	                main:581]	:	INFO	:	Epoch 52 | loss: 0.031134 | val_loss: 0.031143 | Time: 18938.8 ms
[2021-05-02 18:00:26	                main:581]	:	INFO	:	Epoch 53 | loss: 0.0311356 | val_loss: 0.0311407 | Time: 18985.2 ms
[2021-05-02 18:00:45	                main:581]	:	INFO	:	Epoch 54 | loss: 0.0311354 | val_loss: 0.0311471 | Time: 18961.8 ms
[2021-05-02 18:01:04	                main:581]	:	INFO	:	Epoch 55 | loss: 0.0311375 | val_loss: 0.0311454 | Time: 19071.4 ms
[2021-05-02 18:01:23	                main:581]	:	INFO	:	Epoch 56 | loss: 0.0311374 | val_loss: 0.0311539 | Time: 19031.4 ms
[2021-05-02 18:01:42	                main:581]	:	INFO	:	Epoch 57 | loss: 0.0311389 | val_loss: 0.0311449 | Time: 19034.7 ms
[2021-05-02 18:02:01	                main:581]	:	INFO	:	Epoch 58 | loss: 0.0311377 | val_loss: 0.031152 | Time: 18953.8 ms
[2021-05-02 18:02:20	                main:581]	:	INFO	:	Epoch 59 | loss: 0.0311347 | val_loss: 0.0311405 | Time: 18933.6 ms
[2021-05-02 18:02:39	                main:581]	:	INFO	:	Epoch 60 | loss: 0.0311352 | val_loss: 0.0311421 | Time: 18963.1 ms
[2021-05-02 18:02:58	                main:581]	:	INFO	:	Epoch 61 | loss: 0.0311313 | val_loss: 0.0311449 | Time: 18930.7 ms
[2021-05-02 18:03:17	                main:581]	:	INFO	:	Epoch 62 | loss: 0.0311309 | val_loss: 0.0311427 | Time: 18883.8 ms
[2021-05-02 18:03:36	                main:581]	:	INFO	:	Epoch 63 | loss: 0.0311304 | val_loss: 0.0311427 | Time: 18832.5 ms
[2021-05-02 18:03:55	                main:581]	:	INFO	:	Epoch 64 | loss: 0.0311308 | val_loss: 0.0311452 | Time: 18983.3 ms
[2021-05-02 18:04:14	                main:581]	:	INFO	:	Epoch 65 | loss: 0.0311333 | val_loss: 0.0311406 | Time: 18920.3 ms
[2021-05-02 18:04:33	                main:581]	:	INFO	:	Epoch 66 | loss: 0.0311351 | val_loss: 0.0311412 | Time: 19084.8 ms
[2021-05-02 18:04:52	                main:581]	:	INFO	:	Epoch 67 | loss: 0.0311342 | val_loss: 0.0311434 | Time: 18910.8 ms
[2021-05-02 18:05:11	                main:581]	:	INFO	:	Epoch 68 | loss: 0.0311337 | val_loss: 0.031146 | Time: 18981.5 ms
[2021-05-02 18:05:30	                main:581]	:	INFO	:	Epoch 69 | loss: 0.031136 | val_loss: 0.0311463 | Time: 18873.1 ms
[2021-05-02 18:05:48	                main:581]	:	INFO	:	Epoch 70 | loss: 0.0311324 | val_loss: 0.0311431 | Time: 18744.6 ms
[2021-05-02 18:06:07	                main:581]	:	INFO	:	Epoch 71 | loss: 0.0311308 | val_loss: 0.0311412 | Time: 18889 ms
[2021-05-02 18:06:26	                main:581]	:	INFO	:	Epoch 72 | loss: 0.0311312 | val_loss: 0.0311428 | Time: 19046.2 ms
[2021-05-02 18:06:45	                main:581]	:	INFO	:	Epoch 73 | loss: 0.0311327 | val_loss: 0.0311479 | Time: 18945.9 ms
[2021-05-02 18:07:04	                main:581]	:	INFO	:	Epoch 74 | loss: 0.0311426 | val_loss: 0.0311515 | Time: 18915.7 ms
[2021-05-02 18:07:23	                main:581]	:	INFO	:	Epoch 75 | loss: 0.0311396 | val_loss: 0.0311502 | Time: 18947.1 ms
[2021-05-02 18:07:42	                main:581]	:	INFO	:	Epoch 76 | loss: 0.0311372 | val_loss: 0.0311464 | Time: 18986.3 ms
[2021-05-02 18:08:01	                main:581]	:	INFO	:	Epoch 77 | loss: 0.0311391 | val_loss: 0.0311482 | Time: 18969.9 ms
[2021-05-02 18:08:20	                main:581]	:	INFO	:	Epoch 78 | loss: 0.0311356 | val_loss: 0.0311426 | Time: 18908.7 ms
[2021-05-02 18:08:39	                main:581]	:	INFO	:	Epoch 79 | loss: 0.0311341 | val_loss: 0.0311432 | Time: 19084.2 ms
[2021-05-02 18:08:58	                main:581]	:	INFO	:	Epoch 80 | loss: 0.0311323 | val_loss: 0.0311463 | Time: 19103.3 ms
[2021-05-02 18:09:17	                main:581]	:	INFO	:	Epoch 81 | loss: 0.0311318 | val_loss: 0.0311427 | Time: 18855.7 ms
[2021-05-02 18:09:36	                main:581]	:	INFO	:	Epoch 82 | loss: 0.0311307 | val_loss: 0.0311417 | Time: 18924.7 ms
[2021-05-02 18:09:55	                main:581]	:	INFO	:	Epoch 83 | loss: 0.0311369 | val_loss: 0.0311575 | Time: 18906.5 ms
[2021-05-02 18:10:14	                main:581]	:	INFO	:	Epoch 84 | loss: 0.0311518 | val_loss: 0.0311612 | Time: 18962.2 ms
[2021-05-02 18:10:33	                main:581]	:	INFO	:	Epoch 85 | loss: 0.0311491 | val_loss: 0.0311518 | Time: 18864.3 ms
[2021-05-02 18:10:52	                main:581]	:	INFO	:	Epoch 86 | loss: 0.031153 | val_loss: 0.0311515 | Time: 18878.3 ms
[2021-05-02 18:11:10	                main:581]	:	INFO	:	Epoch 87 | loss: 0.0311509 | val_loss: 0.0311519 | Time: 18906.5 ms
[2021-05-02 18:11:29	                main:581]	:	INFO	:	Epoch 88 | loss: 0.031147 | val_loss: 0.0311484 | Time: 18819.1 ms
[2021-05-02 18:11:48	                main:581]	:	INFO	:	Epoch 89 | loss: 0.0311461 | val_loss: 0.0311488 | Time: 18840.4 ms
[2021-05-02 18:12:07	                main:581]	:	INFO	:	Epoch 90 | loss: 0.0311436 | val_loss: 0.0311525 | Time: 18811.9 ms
[2021-05-02 18:12:26	                main:581]	:	INFO	:	Epoch 91 | loss: 0.0311419 | val_loss: 0.0311491 | Time: 18816.7 ms
[2021-05-02 18:12:44	                main:581]	:	INFO	:	Epoch 92 | loss: 0.0311411 | val_loss: 0.0311509 | Time: 18758.9 ms
[2021-05-02 18:13:03	                main:581]	:	INFO	:	Epoch 93 | loss: 0.0311406 | val_loss: 0.0311505 | Time: 18885 ms
[2021-05-02 18:13:22	                main:581]	:	INFO	:	Epoch 94 | loss: 0.0311417 | val_loss: 0.0311513 | Time: 18900.6 ms
[2021-05-02 18:13:41	                main:581]	:	INFO	:	Epoch 95 | loss: 0.0311435 | val_loss: 0.0311531 | Time: 18971.4 ms
[2021-05-02 18:14:00	                main:581]	:	INFO	:	Epoch 96 | loss: 0.0311408 | val_loss: 0.0311505 | Time: 18955.6 ms
[2021-05-02 18:14:19	                main:581]	:	INFO	:	Epoch 97 | loss: 0.0311391 | val_loss: 0.0311477 | Time: 19002 ms
[2021-05-02 18:14:38	                main:581]	:	INFO	:	Epoch 98 | loss: 0.0311364 | val_loss: 0.0311505 | Time: 19056.8 ms
[2021-05-02 18:14:57	                main:581]	:	INFO	:	Epoch 99 | loss: 0.0311346 | val_loss: 0.0311544 | Time: 19047.8 ms
[2021-05-02 18:15:16	                main:581]	:	INFO	:	Epoch 100 | loss: 0.0311354 | val_loss: 0.0311499 | Time: 18998 ms
[2021-05-02 18:15:35	                main:581]	:	INFO	:	Epoch 101 | loss: 0.0311344 | val_loss: 0.031148 | Time: 19019.7 ms
[2021-05-02 18:15:54	                main:581]	:	INFO	:	Epoch 102 | loss: 0.0311339 | val_loss: 0.0311461 | Time: 18911.2 ms
[2021-05-02 18:16:13	                main:581]	:	INFO	:	Epoch 103 | loss: 0.0311366 | val_loss: 0.0311514 | Time: 18987.9 ms
[2021-05-02 18:16:32	                main:581]	:	INFO	:	Epoch 104 | loss: 0.0311442 | val_loss: 0.0311483 | Time: 18973.6 ms
[2021-05-02 18:16:51	                main:581]	:	INFO	:	Epoch 105 | loss: 0.0311432 | val_loss: 0.0311513 | Time: 18889.7 ms
[2021-05-02 18:17:10	                main:581]	:	INFO	:	Epoch 106 | loss: 0.0311419 | val_loss: 0.0311486 | Time: 18958.1 ms
[2021-05-02 18:17:29	                main:581]	:	INFO	:	Epoch 107 | loss: 0.0311397 | val_loss: 0.0311518 | Time: 18951.5 ms
[2021-05-02 18:17:48	                main:581]	:	INFO	:	Epoch 108 | loss: 0.0311389 | val_loss: 0.0311525 | Time: 18885.8 ms
[2021-05-02 18:18:07	                main:581]	:	INFO	:	Epoch 109 | loss: 0.0311397 | val_loss: 0.0311523 | Time: 18918.1 ms
[2021-05-02 18:18:26	                main:581]	:	INFO	:	Epoch 110 | loss: 0.031137 | val_loss: 0.0311532 | Time: 18947.3 ms
[2021-05-02 18:18:45	                main:581]	:	INFO	:	Epoch 111 | loss: 0.0311358 | val_loss: 0.0311487 | Time: 18927.8 ms
[2021-05-02 18:19:04	                main:581]	:	INFO	:	Epoch 112 | loss: 0.0311367 | val_loss: 0.0311532 | Time: 19004.6 ms
[2021-05-02 18:19:23	                main:581]	:	INFO	:	Epoch 113 | loss: 0.031138 | val_loss: 0.0311542 | Time: 18888 ms
[2021-05-02 18:19:42	                main:581]	:	INFO	:	Epoch 114 | loss: 0.0311449 | val_loss: 0.0311507 | Time: 19018.6 ms
[2021-05-02 18:20:00	                main:581]	:	INFO	:	Epoch 115 | loss: 0.0311426 | val_loss: 0.031152 | Time: 18883.9 ms
[2021-05-02 18:20:19	                main:581]	:	INFO	:	Epoch 116 | loss: 0.0311407 | val_loss: 0.0311513 | Time: 18926 ms
[2021-05-02 18:20:38	                main:581]	:	INFO	:	Epoch 117 | loss: 0.0311374 | val_loss: 0.0311524 | Time: 18922.4 ms
[2021-05-02 18:20:57	                main:581]	:	INFO	:	Epoch 118 | loss: 0.0311372 | val_loss: 0.0311482 | Time: 19004.2 ms
[2021-05-02 18:21:16	                main:581]	:	INFO	:	Epoch 119 | loss: 0.0311375 | val_loss: 0.0311483 | Time: 18899.4 ms
[2021-05-02 18:21:35	                main:581]	:	INFO	:	Epoch 120 | loss: 0.0311333 | val_loss: 0.0311473 | Time: 18878.3 ms
[2021-05-02 18:21:54	                main:581]	:	INFO	:	Epoch 121 | loss: 0.0311339 | val_loss: 0.0311451 | Time: 18961.4 ms
[2021-05-02 18:22:13	                main:581]	:	INFO	:	Epoch 122 | loss: 0.0311337 | val_loss: 0.031148 | Time: 18937.1 ms
[2021-05-02 18:22:32	                main:581]	:	INFO	:	Epoch 123 | loss: 0.031133 | val_loss: 0.031149 | Time: 18843.8 ms
[2021-05-02 18:22:51	                main:581]	:	INFO	:	Epoch 124 | loss: 0.0311352 | val_loss: 0.031151 | Time: 18929.2 ms
[2021-05-02 18:23:10	                main:581]	:	INFO	:	Epoch 125 | loss: 0.0311393 | val_loss: 0.0311503 | Time: 18969 ms
[2021-05-02 18:23:29	                main:581]	:	INFO	:	Epoch 126 | loss: 0.0311594 | val_loss: 0.031198 | Time: 18978 ms
[2021-05-02 18:23:48	                main:581]	:	INFO	:	Epoch 127 | loss: 0.0311801 | val_loss: 0.0311719 | Time: 18890.1 ms
[2021-05-02 18:24:07	                main:581]	:	INFO	:	Epoch 128 | loss: 0.0311715 | val_loss: 0.0311692 | Time: 18979 ms
[2021-05-02 18:24:07	                main:604]	:	INFO	:	Saving trained model to model-final.pt, val_loss 0.0311692
[2021-05-02 18:24:07	                main:610]	:	INFO	:	Saving end state to config to file
[2021-05-02 18:24:07	                main:615]	:	INFO	:	Success, exiting..
18:24:07 (755483): 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)