| Name | ParityModified-1607233795-4356-50_4 |
| Workunit | 3058973 |
| Created | 28 Apr 2021, 6:01:02 UTC |
| Sent | 1 May 2021, 20:39:09 UTC |
| Report deadline | 8 May 2021, 20:39:09 UTC |
| Received | 2 May 2021, 18:20:13 UTC |
| Server state | Over |
| Outcome | Validate error |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 11140 |
| Run time | 40 min 43 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 |
<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 13:39:20 (4139341): 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 13:39:20 main:442] : INFO : Set logging level to 1 [2021-05-02 13:39:20 main:448] : INFO : Running in BOINC Client mode [2021-05-02 13:39:20 main:451] : INFO : Resolving all filenames [2021-05-02 13:39:20 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1) [2021-05-02 13:39:20 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233795-4356-50_4_r1946876906_1 (exists = 0) [2021-05-02 13:39:20 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233795-4356-50_4_r1946876906_0 (exists = 0) [2021-05-02 13:39:20 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233795-4356-50 (exists = 1) [2021-05-02 13:39:20 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2021-05-02 13:39:20 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 [2021-05-02 13:39:20 main:481] : INFO : Configuration: [2021-05-02 13:39:20 main:482] : INFO : Model type: GRU [2021-05-02 13:39:20 main:483] : INFO : Validation Loss Threshold: 0.0001 [2021-05-02 13:39:20 main:484] : INFO : Max Epochs: 128 [2021-05-02 13:39:20 main:485] : INFO : Batch Size: 128 [2021-05-02 13:39:20 main:486] : INFO : Learning Rate: 0.01 [2021-05-02 13:39:20 main:487] : INFO : Patience: 10 [2021-05-02 13:39:20 main:488] : INFO : Hidden Width: 12 [2021-05-02 13:39:20 main:489] : INFO : # Recurrent Layers: 4 [2021-05-02 13:39:20 main:490] : INFO : # Backend Layers: 4 [2021-05-02 13:39:20 main:491] : INFO : # Threads: 1 [2021-05-02 13:39:20 main:493] : INFO : Preparing Dataset [2021-05-02 13:39:20 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 13:39:20 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 13:39:21 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-05-02 13:39:21 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 13:39:21 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 13:39:21 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-05-02 13:39:21 main:501] : INFO : Creating Model [2021-05-02 13:39:21 main:514] : INFO : Preparing config file [2021-05-02 13:39:21 main:526] : INFO : Creating new config file [2021-05-02 13:39:21 main:545] : INFO : This is a continuation WU, loading previous network [2021-05-02 13:39:21 main:566] : INFO : Loading DataLoader into Memory [2021-05-02 13:39:21 main:569] : INFO : Starting Training [2021-05-02 13:39:45 main:581] : INFO : Epoch 1 | loss: 0.031084 | val_loss: 0.0310705 | Time: 24085.1 ms [2021-05-02 13:40:04 main:581] : INFO : Epoch 2 | loss: 0.0310484 | val_loss: 0.0310601 | Time: 19008 ms [2021-05-02 13:40:23 main:581] : INFO : Epoch 3 | loss: 0.0310451 | val_loss: 0.0310603 | Time: 18954.8 ms [2021-05-02 13:40:42 main:581] : INFO : Epoch 4 | loss: 0.031043 | val_loss: 0.0310681 | Time: 19030.5 ms [2021-05-02 13:41:01 main:581] : INFO : Epoch 5 | loss: 0.0310415 | val_loss: 0.031066 | Time: 18953.4 ms [2021-05-02 13:41:20 main:581] : INFO : Epoch 6 | loss: 0.0310375 | val_loss: 0.0310581 | Time: 19000.9 ms [2021-05-02 13:41:39 main:581] : INFO : Epoch 7 | loss: 0.0310303 | val_loss: 0.0310567 | Time: 18954.8 ms [2021-05-02 13:41:58 main:581] : INFO : Epoch 8 | loss: 0.0310314 | val_loss: 0.0310601 | Time: 18876.7 ms [2021-05-02 13:42:17 main:581] : INFO : Epoch 9 | loss: 0.0310333 | val_loss: 0.0310625 | Time: 18949.4 ms [2021-05-02 13:42:36 main:581] : INFO : Epoch 10 | loss: 0.0310331 | val_loss: 0.0310556 | Time: 18887.2 ms [2021-05-02 13:42:55 main:581] : INFO : Epoch 11 | loss: 0.0310305 | val_loss: 0.0310548 | Time: 18905.1 ms [2021-05-02 13:43:14 main:581] : INFO : Epoch 12 | loss: 0.0310239 | val_loss: 0.0310498 | Time: 18966.1 ms [2021-05-02 13:43:33 main:581] : INFO : Epoch 13 | loss: 0.0310347 | val_loss: 0.0310483 | Time: 19069.4 ms [2021-05-02 13:43:52 main:581] : INFO : Epoch 14 | loss: 0.0310305 | val_loss: 0.0310519 | Time: 19028.6 ms [2021-05-02 13:44:11 main:581] : INFO : Epoch 15 | loss: 0.0310288 | val_loss: 0.0310507 | Time: 19037.8 ms [2021-05-02 13:44:30 main:581] : INFO : Epoch 16 | loss: 0.0310271 | val_loss: 0.0310461 | Time: 18993.2 ms [2021-05-02 13:44:49 main:581] : INFO : Epoch 17 | loss: 0.0310253 | val_loss: 0.0310475 | Time: 18900.3 ms [2021-05-02 13:45:08 main:581] : INFO : Epoch 18 | loss: 0.0310218 | val_loss: 0.0310494 | Time: 19030.5 ms [2021-05-02 13:45:27 main:581] : INFO : Epoch 19 | loss: 0.0310186 | val_loss: 0.0310433 | Time: 18970.2 ms [2021-05-02 13:45:46 main:581] : INFO : Epoch 20 | loss: 0.0310177 | val_loss: 0.0310459 | Time: 18982 ms [2021-05-02 13:46:05 main:581] : INFO : Epoch 21 | loss: 0.0310177 | val_loss: 0.031048 | Time: 18948.9 ms [2021-05-02 13:46:24 main:581] : INFO : Epoch 22 | loss: 0.0310201 | val_loss: 0.0310565 | Time: 18962.1 ms [2021-05-02 13:46:43 main:581] : INFO : Epoch 23 | loss: 0.0310186 | val_loss: 0.031045 | Time: 19104.9 ms [2021-05-02 13:47:02 main:581] : INFO : Epoch 24 | loss: 0.0310311 | val_loss: 0.0310597 | Time: 18911.7 ms [2021-05-02 13:47:21 main:581] : INFO : Epoch 25 | loss: 0.0310362 | val_loss: 0.0310586 | Time: 19031.2 ms [2021-05-02 13:47:40 main:581] : INFO : Epoch 26 | loss: 0.031042 | val_loss: 0.0310585 | Time: 18970.5 ms [2021-05-02 13:47:59 main:581] : INFO : Epoch 27 | loss: 0.0310366 | val_loss: 0.0310479 | Time: 19012.7 ms [2021-05-02 13:48:18 main:581] : INFO : Epoch 28 | loss: 0.0310234 | val_loss: 0.0310455 | Time: 18980.2 ms [2021-05-02 13:48:37 main:581] : INFO : Epoch 29 | loss: 0.0310192 | val_loss: 0.0310459 | Time: 19050.6 ms [2021-05-02 13:48:56 main:581] : INFO : Epoch 30 | loss: 0.0310209 | val_loss: 0.0310548 | Time: 18972.7 ms [2021-05-02 13:49:15 main:581] : INFO : Epoch 31 | loss: 0.0310216 | val_loss: 0.0310483 | Time: 18977.8 ms [2021-05-02 13:49:34 main:581] : INFO : Epoch 32 | loss: 0.0310261 | val_loss: 0.0310474 | Time: 19070.5 ms [2021-05-02 13:49:53 main:581] : INFO : Epoch 33 | loss: 0.0310214 | val_loss: 0.031053 | Time: 18958.4 ms [2021-05-02 13:50:12 main:581] : INFO : Epoch 34 | loss: 0.0310165 | val_loss: 0.0310455 | Time: 18925.5 ms [2021-05-02 13:50:31 main:581] : INFO : Epoch 35 | loss: 0.0310183 | val_loss: 0.0310482 | Time: 19031.4 ms [2021-05-02 13:50:50 main:581] : INFO : Epoch 36 | loss: 0.0310172 | val_loss: 0.0310503 | Time: 19108.5 ms [2021-05-02 13:51:09 main:581] : INFO : Epoch 37 | loss: 0.0310184 | val_loss: 0.0310449 | Time: 19039.5 ms [2021-05-02 13:51:28 main:581] : INFO : Epoch 38 | loss: 0.0310159 | val_loss: 0.0310498 | Time: 18943.3 ms [2021-05-02 13:51:47 main:581] : INFO : Epoch 39 | loss: 0.0310143 | val_loss: 0.0310487 | Time: 19030.5 ms [2021-05-02 13:52:06 main:581] : INFO : Epoch 40 | loss: 0.0310155 | val_loss: 0.0310547 | Time: 18881.3 ms [2021-05-02 13:52:25 main:581] : INFO : Epoch 41 | loss: 0.0310128 | val_loss: 0.0310494 | Time: 19188.5 ms [2021-05-02 13:52:44 main:581] : INFO : Epoch 42 | loss: 0.0310161 | val_loss: 0.0310533 | Time: 19074.9 ms [2021-05-02 13:53:03 main:581] : INFO : Epoch 43 | loss: 0.0310145 | val_loss: 0.0310492 | Time: 18998.4 ms [2021-05-02 13:53:22 main:581] : INFO : Epoch 44 | loss: 0.0310244 | val_loss: 0.0310589 | Time: 18947 ms [2021-05-02 13:53:41 main:581] : INFO : Epoch 45 | loss: 0.0310266 | val_loss: 0.0310528 | Time: 18942 ms [2021-05-02 13:54:00 main:581] : INFO : Epoch 46 | loss: 0.0310227 | val_loss: 0.0310493 | Time: 19001.1 ms [2021-05-02 13:54:19 main:581] : INFO : Epoch 47 | loss: 0.0310162 | val_loss: 0.0310482 | Time: 19091 ms [2021-05-02 13:54:38 main:581] : INFO : Epoch 48 | loss: 0.0310117 | val_loss: 0.031055 | Time: 18999.7 ms [2021-05-02 13:54:57 main:581] : INFO : Epoch 49 | loss: 0.0310096 | val_loss: 0.03105 | Time: 18972.2 ms [2021-05-02 13:55:16 main:581] : INFO : Epoch 50 | loss: 0.0310109 | val_loss: 0.0310467 | Time: 18995 ms [2021-05-02 13:55:35 main:581] : INFO : Epoch 51 | loss: 0.03101 | val_loss: 0.0310492 | Time: 18933.7 ms [2021-05-02 13:55:54 main:581] : INFO : Epoch 52 | loss: 0.0310119 | val_loss: 0.0310487 | Time: 19207.6 ms [2021-05-02 13:56:13 main:581] : INFO : Epoch 53 | loss: 0.0310169 | val_loss: 0.0310477 | Time: 18981 ms [2021-05-02 13:56:32 main:581] : INFO : Epoch 54 | loss: 0.0310367 | val_loss: 0.0310615 | Time: 18953.1 ms [2021-05-02 13:56:51 main:581] : INFO : Epoch 55 | loss: 0.0310364 | val_loss: 0.031054 | Time: 18920.5 ms [2021-05-02 13:57:10 main:581] : INFO : Epoch 56 | loss: 0.0310329 | val_loss: 0.0310525 | Time: 18959 ms [2021-05-02 13:57:29 main:581] : INFO : Epoch 57 | loss: 0.031025 | val_loss: 0.0310528 | Time: 18989 ms [2021-05-02 13:57:48 main:581] : INFO : Epoch 58 | loss: 0.0310226 | val_loss: 0.0310516 | Time: 19158.3 ms [2021-05-02 13:58:07 main:581] : INFO : Epoch 59 | loss: 0.0310239 | val_loss: 0.0310458 | Time: 18969.1 ms [2021-05-02 13:58:26 main:581] : INFO : Epoch 60 | loss: 0.0310257 | val_loss: 0.031046 | Time: 18947.8 ms [2021-05-02 13:58:45 main:581] : INFO : Epoch 61 | loss: 0.0310215 | val_loss: 0.0310459 | Time: 18965 ms [2021-05-02 13:59:04 main:581] : INFO : Epoch 62 | loss: 0.0310227 | val_loss: 0.0310568 | Time: 19055.8 ms [2021-05-02 13:59:23 main:581] : INFO : Epoch 63 | loss: 0.0310251 | val_loss: 0.0310502 | Time: 19060.9 ms [2021-05-02 13:59:42 main:581] : INFO : Epoch 64 | loss: 0.031021 | val_loss: 0.0310499 | Time: 19076.9 ms [2021-05-02 14:00:01 main:581] : INFO : Epoch 65 | loss: 0.0310279 | val_loss: 0.0310491 | Time: 18942.1 ms [2021-05-02 14:00:20 main:581] : INFO : Epoch 66 | loss: 0.0310225 | val_loss: 0.0310499 | Time: 18995.4 ms [2021-05-02 14:00:39 main:581] : INFO : Epoch 67 | loss: 0.0310215 | val_loss: 0.0310525 | Time: 18926.4 ms [2021-05-02 14:00:58 main:581] : INFO : Epoch 68 | loss: 0.0310228 | val_loss: 0.0310502 | Time: 19051.9 ms [2021-05-02 14:01:17 main:581] : INFO : Epoch 69 | loss: 0.0310166 | val_loss: 0.0310449 | Time: 18997.7 ms [2021-05-02 14:01:36 main:581] : INFO : Epoch 70 | loss: 0.0310175 | val_loss: 0.0310501 | Time: 18902.7 ms [2021-05-02 14:01:55 main:581] : INFO : Epoch 71 | loss: 0.0310157 | val_loss: 0.0310402 | Time: 19004.1 ms [2021-05-02 14:02:14 main:581] : INFO : Epoch 72 | loss: 0.0310114 | val_loss: 0.0310402 | Time: 19004.2 ms [2021-05-02 14:02:33 main:581] : INFO : Epoch 73 | loss: 0.0310096 | val_loss: 0.0310392 | Time: 19104.7 ms [2021-05-02 14:02:52 main:581] : INFO : Epoch 74 | loss: 0.0310098 | val_loss: 0.0310397 | Time: 19077.1 ms [2021-05-02 14:03:11 main:581] : INFO : Epoch 75 | loss: 0.0310091 | val_loss: 0.0310374 | Time: 18938.2 ms [2021-05-02 14:03:30 main:581] : INFO : Epoch 76 | loss: 0.031013 | val_loss: 0.0310399 | Time: 18900.9 ms [2021-05-02 14:03:49 main:581] : INFO : Epoch 77 | loss: 0.0310105 | val_loss: 0.0310582 | Time: 19038.8 ms [2021-05-02 14:04:08 main:581] : INFO : Epoch 78 | loss: 0.0310521 | val_loss: 0.0310801 | Time: 18919.3 ms [2021-05-02 14:04:27 main:581] : INFO : Epoch 79 | loss: 0.0310699 | val_loss: 0.0310781 | Time: 18956.9 ms [2021-05-02 14:04:46 main:581] : INFO : Epoch 80 | loss: 0.0310643 | val_loss: 0.0310723 | Time: 19052.1 ms [2021-05-02 14:05:05 main:581] : INFO : Epoch 81 | loss: 0.0310577 | val_loss: 0.0310761 | Time: 18972.7 ms [2021-05-02 14:05:24 main:581] : INFO : Epoch 82 | loss: 0.03106 | val_loss: 0.0310744 | Time: 19038.9 ms [2021-05-02 14:05:43 main:581] : INFO : Epoch 83 | loss: 0.0310521 | val_loss: 0.0310783 | Time: 18956 ms [2021-05-02 14:06:02 main:581] : INFO : Epoch 84 | loss: 0.0310485 | val_loss: 0.0310734 | Time: 18952.6 ms [2021-05-02 14:06:21 main:581] : INFO : Epoch 85 | loss: 0.031042 | val_loss: 0.0310681 | Time: 18925.6 ms [2021-05-02 14:06:40 main:581] : INFO : Epoch 86 | loss: 0.0310496 | val_loss: 0.0310645 | Time: 18994.8 ms [2021-05-02 14:06:59 main:581] : INFO : Epoch 87 | loss: 0.0310434 | val_loss: 0.0310608 | Time: 19133.5 ms [2021-05-02 14:07:18 main:581] : INFO : Epoch 88 | loss: 0.0310383 | val_loss: 0.031058 | Time: 19060.2 ms [2021-05-02 14:07:37 main:581] : INFO : Epoch 89 | loss: 0.0310384 | val_loss: 0.0310604 | Time: 18916.8 ms [2021-05-02 14:07:56 main:581] : INFO : Epoch 90 | loss: 0.0310355 | val_loss: 0.0310548 | Time: 18971.1 ms [2021-05-02 14:08:15 main:581] : INFO : Epoch 91 | loss: 0.0310351 | val_loss: 0.0310545 | Time: 18959.8 ms [2021-05-02 14:08:34 main:581] : INFO : Epoch 92 | loss: 0.0310316 | val_loss: 0.0310556 | Time: 19129.1 ms [2021-05-02 14:08:53 main:581] : INFO : Epoch 93 | loss: 0.0310319 | val_loss: 0.0310634 | Time: 18868.1 ms [2021-05-02 14:09:12 main:581] : INFO : Epoch 94 | loss: 0.0310438 | val_loss: 0.031056 | Time: 18997.8 ms [2021-05-02 14:09:31 main:581] : INFO : Epoch 95 | loss: 0.0310363 | val_loss: 0.0310532 | Time: 19045.9 ms [2021-05-02 14:09:50 main:581] : INFO : Epoch 96 | loss: 0.0310325 | val_loss: 0.0310549 | Time: 18949.1 ms [2021-05-02 14:10:09 main:581] : INFO : Epoch 97 | loss: 0.0310285 | val_loss: 0.0310549 | Time: 19029.7 ms [2021-05-02 14:10:28 main:581] : INFO : Epoch 98 | loss: 0.0310246 | val_loss: 0.0310542 | Time: 19105.3 ms [2021-05-02 14:10:47 main:581] : INFO : Epoch 99 | loss: 0.0310224 | val_loss: 0.031052 | Time: 18913 ms [2021-05-02 14:11:06 main:581] : INFO : Epoch 100 | loss: 0.0310226 | val_loss: 0.0310525 | Time: 18986.2 ms [2021-05-02 14:11:25 main:581] : INFO : Epoch 101 | loss: 0.0310229 | val_loss: 0.0310524 | Time: 18963.6 ms [2021-05-02 14:11:44 main:581] : INFO : Epoch 102 | loss: 0.0310227 | val_loss: 0.0310524 | Time: 18895.1 ms [2021-05-02 14:12:03 main:581] : INFO : Epoch 103 | loss: 0.0310191 | val_loss: 0.0310545 | Time: 18990.1 ms [2021-05-02 14:12:22 main:581] : INFO : Epoch 104 | loss: 0.0310243 | val_loss: 0.031051 | Time: 18983.7 ms [2021-05-02 14:12:41 main:581] : INFO : Epoch 105 | loss: 0.0310213 | val_loss: 0.0310485 | Time: 18966.9 ms [2021-05-02 14:12:59 main:581] : INFO : Epoch 106 | loss: 0.0310202 | val_loss: 0.031049 | Time: 18966.2 ms [2021-05-02 14:13:18 main:581] : INFO : Epoch 107 | loss: 0.0310247 | val_loss: 0.0310545 | Time: 18977.8 ms [2021-05-02 14:13:38 main:581] : INFO : Epoch 108 | loss: 0.0310267 | val_loss: 0.0310477 | Time: 19118.5 ms [2021-05-02 14:13:56 main:581] : INFO : Epoch 109 | loss: 0.0310239 | val_loss: 0.0310495 | Time: 18911.4 ms [2021-05-02 14:14:16 main:581] : INFO : Epoch 110 | loss: 0.0310158 | val_loss: 0.0310522 | Time: 19092.6 ms [2021-05-02 14:14:35 main:581] : INFO : Epoch 111 | loss: 0.0310151 | val_loss: 0.0310502 | Time: 18929.5 ms [2021-05-02 14:14:53 main:581] : INFO : Epoch 112 | loss: 0.0310315 | val_loss: 0.0310615 | Time: 18879 ms [2021-05-02 14:15:12 main:581] : INFO : Epoch 113 | loss: 0.0310528 | val_loss: 0.0310621 | Time: 18903.8 ms [2021-05-02 14:15:31 main:581] : INFO : Epoch 114 | loss: 0.031045 | val_loss: 0.0310628 | Time: 19016.5 ms [2021-05-02 14:15:50 main:581] : INFO : Epoch 115 | loss: 0.031037 | val_loss: 0.0310568 | Time: 18991.4 ms [2021-05-02 14:16:09 main:581] : INFO : Epoch 116 | loss: 0.0310308 | val_loss: 0.0310517 | Time: 18973.8 ms [2021-05-02 14:16:28 main:581] : INFO : Epoch 117 | loss: 0.0310235 | val_loss: 0.0310532 | Time: 18966.6 ms [2021-05-02 14:16:47 main:581] : INFO : Epoch 118 | loss: 0.0310233 | val_loss: 0.0310443 | Time: 18907.2 ms [2021-05-02 14:17:06 main:581] : INFO : Epoch 119 | loss: 0.0310242 | val_loss: 0.0310512 | Time: 18862.2 ms [2021-05-02 14:17:25 main:581] : INFO : Epoch 120 | loss: 0.0310227 | val_loss: 0.0310466 | Time: 18899 ms [2021-05-02 14:17:44 main:581] : INFO : Epoch 121 | loss: 0.0310157 | val_loss: 0.0310438 | Time: 19038.9 ms [2021-05-02 14:18:03 main:581] : INFO : Epoch 122 | loss: 0.0310154 | val_loss: 0.0310451 | Time: 19021.4 ms [2021-05-02 14:18:22 main:581] : INFO : Epoch 123 | loss: 0.0310153 | val_loss: 0.0310468 | Time: 18912.5 ms [2021-05-02 14:18:41 main:581] : INFO : Epoch 124 | loss: 0.0310138 | val_loss: 0.0310406 | Time: 18907.4 ms [2021-05-02 14:19:00 main:581] : INFO : Epoch 125 | loss: 0.0310127 | val_loss: 0.0310422 | Time: 19084 ms [2021-05-02 14:19:19 main:581] : INFO : Epoch 126 | loss: 0.0310115 | val_loss: 0.0310441 | Time: 18948.3 ms [2021-05-02 14:19:38 main:581] : INFO : Epoch 127 | loss: 0.0310238 | val_loss: 0.0310479 | Time: 19015.7 ms [2021-05-02 14:19:57 main:581] : INFO : Epoch 128 | loss: 0.0310183 | val_loss: 0.0310519 | Time: 18976.5 ms [2021-05-02 14:19:57 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0310519 [2021-05-02 14:19:57 main:610] : INFO : Saving end state to config to file [2021-05-02 14:19:57 main:615] : INFO : Success, exiting.. 14:19:57 (4139341): 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)