Task 5125383
| Name | ParityModified-1607233775-3730-97_0 |
| Workunit | 3078751 |
| Created | 30 Apr 2021, 23:58:42 UTC |
| Sent | 30 Apr 2021, 23:59:27 UTC |
| Report deadline | 7 May 2021, 23:59:27 UTC |
| Received | 1 May 2021, 2:46:14 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 11158 |
| Run time | 55 min 51 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 |
Stderr output
<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 18:49:51 (10764): 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 18:49:51 main:442] : INFO : Set logging level to 1 [2021-04-30 18:49:51 main:448] : INFO : Running in BOINC Client mode [2021-04-30 18:49:51 main:451] : INFO : Resolving all filenames [2021-04-30 18:49:51 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1) [2021-04-30 18:49:51 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233775-3730-97_0_r1912783085_1 (exists = 0) [2021-04-30 18:49:51 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233775-3730-97_0_r1912783085_0 (exists = 0) [2021-04-30 18:49:51 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233775-3730-97 (exists = 1) [2021-04-30 18:49:51 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2021-04-30 18:49:51 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 [2021-04-30 18:49:51 main:481] : INFO : Configuration: [2021-04-30 18:49:51 main:482] : INFO : Model type: GRU [2021-04-30 18:49:51 main:483] : INFO : Validation Loss Threshold: 0.0001 [2021-04-30 18:49:51 main:484] : INFO : Max Epochs: 128 [2021-04-30 18:49:51 main:485] : INFO : Batch Size: 128 [2021-04-30 18:49:51 main:486] : INFO : Learning Rate: 0.01 [2021-04-30 18:49:51 main:487] : INFO : Patience: 10 [2021-04-30 18:49:51 main:488] : INFO : Hidden Width: 12 [2021-04-30 18:49:51 main:489] : INFO : # Recurrent Layers: 4 [2021-04-30 18:49:51 main:490] : INFO : # Backend Layers: 4 [2021-04-30 18:49:51 main:491] : INFO : # Threads: 1 [2021-04-30 18:49:51 main:493] : INFO : Preparing Dataset [2021-04-30 18:49:51 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 18:49:52 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 18:49:52 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-04-30 18:49:52 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 18:49:53 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 18:49:53 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-04-30 18:49:53 main:501] : INFO : Creating Model [2021-04-30 18:49:53 main:514] : INFO : Preparing config file [2021-04-30 18:49:53 main:526] : INFO : Creating new config file [2021-04-30 18:49:53 main:545] : INFO : This is a continuation WU, loading previous network [2021-04-30 18:49:53 main:566] : INFO : Loading DataLoader into Memory [2021-04-30 18:49:53 main:569] : INFO : Starting Training [2021-04-30 18:50:35 main:581] : INFO : Epoch 1 | loss: 0.0316245 | val_loss: 0.0313398 | Time: 42450.3 ms [2021-04-30 18:50:58 main:581] : INFO : Epoch 2 | loss: 0.0312744 | val_loss: 0.0312364 | Time: 22557.5 ms [2021-04-30 18:51:24 main:581] : INFO : Epoch 3 | loss: 0.0312314 | val_loss: 0.0312288 | Time: 26676.8 ms [2021-04-30 18:51:46 main:581] : INFO : Epoch 4 | loss: 0.0312204 | val_loss: 0.0312259 | Time: 21898.9 ms [2021-04-30 18:52:11 main:581] : INFO : Epoch 5 | loss: 0.0312177 | val_loss: 0.0312238 | Time: 24877.6 ms [2021-04-30 18:52:37 main:581] : INFO : Epoch 6 | loss: 0.0312168 | val_loss: 0.0312237 | Time: 25583.5 ms [2021-04-30 18:52:59 main:581] : INFO : Epoch 7 | loss: 0.0312162 | val_loss: 0.0312239 | Time: 22483.9 ms [2021-04-30 18:53:25 main:581] : INFO : Epoch 8 | loss: 0.0312161 | val_loss: 0.0312222 | Time: 25436.1 ms [2021-04-30 18:53:52 main:581] : INFO : Epoch 9 | loss: 0.0312143 | val_loss: 0.0312222 | Time: 27555.8 ms [2021-04-30 18:54:18 main:581] : INFO : Epoch 10 | loss: 0.0312145 | val_loss: 0.0312226 | Time: 26015.8 ms [2021-04-30 18:54:40 main:581] : INFO : Epoch 11 | loss: 0.031214 | val_loss: 0.031222 | Time: 21975.8 ms [2021-04-30 18:55:05 main:581] : INFO : Epoch 12 | loss: 0.0312135 | val_loss: 0.0312222 | Time: 25031.6 ms [2021-04-30 18:55:32 main:581] : INFO : Epoch 13 | loss: 0.0312135 | val_loss: 0.031221 | Time: 26557.3 ms [2021-04-30 18:56:00 main:581] : INFO : Epoch 14 | loss: 0.0312132 | val_loss: 0.0312206 | Time: 27863.5 ms [2021-04-30 18:56:28 main:581] : INFO : Epoch 15 | loss: 0.0312138 | val_loss: 0.0312221 | Time: 28567 ms [2021-04-30 18:56:54 main:581] : INFO : Epoch 16 | loss: 0.0312151 | val_loss: 0.0312243 | Time: 25631.3 ms [2021-04-30 18:57:20 main:581] : INFO : Epoch 17 | loss: 0.0312162 | val_loss: 0.0312236 | Time: 25676.3 ms [2021-04-30 18:57:44 main:581] : INFO : Epoch 18 | loss: 0.0312152 | val_loss: 0.0312236 | Time: 24479.8 ms [2021-04-30 18:58:09 main:581] : INFO : Epoch 19 | loss: 0.0312143 | val_loss: 0.0312208 | Time: 25212.2 ms [2021-04-30 18:58:33 main:581] : INFO : Epoch 20 | loss: 0.0312137 | val_loss: 0.0312209 | Time: 23812 ms [2021-04-30 18:58:58 main:581] : INFO : Epoch 21 | loss: 0.0312135 | val_loss: 0.0312211 | Time: 24727.1 ms [2021-04-30 18:59:22 main:581] : INFO : Epoch 22 | loss: 0.0312134 | val_loss: 0.0312207 | Time: 24651.8 ms [2021-04-30 18:59:51 main:581] : INFO : Epoch 23 | loss: 0.031214 | val_loss: 0.0312225 | Time: 28579.8 ms [2021-04-30 19:00:17 main:581] : INFO : Epoch 24 | loss: 0.0312176 | val_loss: 0.0312229 | Time: 26184 ms [2021-04-30 19:00:40 main:581] : INFO : Epoch 25 | loss: 0.0312162 | val_loss: 0.0312276 | Time: 23054.1 ms [2021-04-30 19:01:07 main:581] : INFO : Epoch 26 | loss: 0.0312158 | val_loss: 0.0312231 | Time: 26653.5 ms [2021-04-30 19:01:31 main:581] : INFO : Epoch 27 | loss: 0.0312147 | val_loss: 0.0312214 | Time: 24562.1 ms [2021-04-30 19:01:56 main:581] : INFO : Epoch 28 | loss: 0.0312157 | val_loss: 0.0312214 | Time: 24208.7 ms [2021-04-30 19:02:21 main:581] : INFO : Epoch 29 | loss: 0.0312142 | val_loss: 0.0312183 | Time: 25087.1 ms [2021-04-30 19:02:49 main:581] : INFO : Epoch 30 | loss: 0.0312132 | val_loss: 0.0312188 | Time: 28485.4 ms [2021-04-30 19:03:17 main:581] : INFO : Epoch 31 | loss: 0.0312137 | val_loss: 0.03122 | Time: 28128.6 ms [2021-04-30 19:03:41 main:581] : INFO : Epoch 32 | loss: 0.0312149 | val_loss: 0.0312216 | Time: 23991.1 ms [2021-04-30 19:04:06 main:581] : INFO : Epoch 33 | loss: 0.0312132 | val_loss: 0.0312209 | Time: 24941 ms [2021-04-30 19:04:33 main:581] : INFO : Epoch 34 | loss: 0.0312121 | val_loss: 0.031221 | Time: 26408.5 ms [2021-04-30 19:04:59 main:581] : INFO : Epoch 35 | loss: 0.0312119 | val_loss: 0.0312202 | Time: 26066 ms [2021-04-30 19:05:21 main:581] : INFO : Epoch 36 | loss: 0.0312119 | val_loss: 0.0312209 | Time: 22399.9 ms [2021-04-30 19:05:45 main:581] : INFO : Epoch 37 | loss: 0.0312132 | val_loss: 0.0312186 | Time: 24340.6 ms [2021-04-30 19:06:12 main:581] : INFO : Epoch 38 | loss: 0.0312109 | val_loss: 0.0312175 | Time: 26012.4 ms [2021-04-30 19:06:37 main:581] : INFO : Epoch 39 | loss: 0.0312104 | val_loss: 0.0312184 | Time: 24998.5 ms [2021-04-30 19:07:05 main:581] : INFO : Epoch 40 | loss: 0.0312098 | val_loss: 0.0312188 | Time: 28467.2 ms [2021-04-30 19:07:34 main:581] : INFO : Epoch 41 | loss: 0.0312115 | val_loss: 0.0312205 | Time: 28656 ms [2021-04-30 19:08:01 main:581] : INFO : Epoch 42 | loss: 0.0312121 | val_loss: 0.0312193 | Time: 27826.8 ms [2021-04-30 19:08:29 main:581] : INFO : Epoch 43 | loss: 0.0312116 | val_loss: 0.0312188 | Time: 27085.3 ms [2021-04-30 19:08:57 main:581] : INFO : Epoch 44 | loss: 0.0312111 | val_loss: 0.0312196 | Time: 28371.8 ms [2021-04-30 19:09:23 main:581] : INFO : Epoch 45 | loss: 0.0312107 | val_loss: 0.0312199 | Time: 26377.8 ms [2021-04-30 19:09:49 main:581] : INFO : Epoch 46 | loss: 0.0312112 | val_loss: 0.031218 | Time: 26121.8 ms [2021-04-30 19:10:15 main:581] : INFO : Epoch 47 | loss: 0.0312102 | val_loss: 0.0312182 | Time: 25272.7 ms [2021-04-30 19:10:40 main:581] : INFO : Epoch 48 | loss: 0.0312144 | val_loss: 0.0312178 | Time: 24825.4 ms [2021-04-30 19:11:07 main:581] : INFO : Epoch 49 | loss: 0.0312126 | val_loss: 0.0312196 | Time: 27817.3 ms [2021-04-30 19:11:35 main:581] : INFO : Epoch 50 | loss: 0.0312123 | val_loss: 0.0312187 | Time: 27871.8 ms [2021-04-30 19:12:01 main:581] : INFO : Epoch 51 | loss: 0.0312121 | val_loss: 0.0312197 | Time: 26091.5 ms [2021-04-30 19:12:26 main:581] : INFO : Epoch 52 | loss: 0.0312112 | val_loss: 0.0312198 | Time: 24364.1 ms [2021-04-30 19:12:53 main:581] : INFO : Epoch 53 | loss: 0.0312115 | val_loss: 0.031219 | Time: 27203.9 ms [2021-04-30 19:13:14 main:581] : INFO : Epoch 54 | loss: 0.0312122 | val_loss: 0.0312296 | Time: 21557 ms [2021-04-30 19:13:37 main:581] : INFO : Epoch 55 | loss: 0.0312134 | val_loss: 0.0312216 | Time: 22190.1 ms [2021-04-30 19:14:03 main:581] : INFO : Epoch 56 | loss: 0.0312109 | val_loss: 0.0312192 | Time: 26148.7 ms [2021-04-30 19:14:31 main:581] : INFO : Epoch 57 | loss: 0.0312108 | val_loss: 0.0312198 | Time: 28591 ms [2021-04-30 19:14:57 main:581] : INFO : Epoch 58 | loss: 0.0312123 | val_loss: 0.0312182 | Time: 25867.8 ms [2021-04-30 19:15:23 main:581] : INFO : Epoch 59 | loss: 0.0312134 | val_loss: 0.0312225 | Time: 25375.9 ms [2021-04-30 19:15:51 main:581] : INFO : Epoch 60 | loss: 0.0312184 | val_loss: 0.0312247 | Time: 27927.8 ms [2021-04-30 19:16:18 main:581] : INFO : Epoch 61 | loss: 0.0312178 | val_loss: 0.0312216 | Time: 27225.5 ms [2021-04-30 19:16:43 main:581] : INFO : Epoch 62 | loss: 0.0312158 | val_loss: 0.031222 | Time: 25702.1 ms [2021-04-30 19:17:12 main:581] : INFO : Epoch 63 | loss: 0.0312156 | val_loss: 0.0312213 | Time: 28066.3 ms [2021-04-30 19:17:40 main:581] : INFO : Epoch 64 | loss: 0.0312152 | val_loss: 0.0312212 | Time: 28542.9 ms [2021-04-30 19:18:04 main:581] : INFO : Epoch 65 | loss: 0.0312154 | val_loss: 0.0312241 | Time: 23796.6 ms [2021-04-30 19:18:32 main:581] : INFO : Epoch 66 | loss: 0.0312142 | val_loss: 0.0312199 | Time: 28140.6 ms [2021-04-30 19:18:59 main:581] : INFO : Epoch 67 | loss: 0.0312135 | val_loss: 0.031222 | Time: 26692.5 ms [2021-04-30 19:19:27 main:581] : INFO : Epoch 68 | loss: 0.0312137 | val_loss: 0.0312214 | Time: 28611.8 ms [2021-04-30 19:19:54 main:581] : INFO : Epoch 69 | loss: 0.0312131 | val_loss: 0.0312226 | Time: 26218.2 ms [2021-04-30 19:20:20 main:581] : INFO : Epoch 70 | loss: 0.031214 | val_loss: 0.0312223 | Time: 26405.3 ms [2021-04-30 19:20:48 main:581] : INFO : Epoch 71 | loss: 0.0312151 | val_loss: 0.031226 | Time: 27924.1 ms [2021-04-30 19:21:11 main:581] : INFO : Epoch 72 | loss: 0.0312161 | val_loss: 0.0312229 | Time: 23358.8 ms [2021-04-30 19:21:33 main:581] : INFO : Epoch 73 | loss: 0.0312162 | val_loss: 0.0312216 | Time: 21499.8 ms [2021-04-30 19:21:58 main:581] : INFO : Epoch 74 | loss: 0.0312163 | val_loss: 0.0312222 | Time: 25279.8 ms [2021-04-30 19:22:23 main:581] : INFO : Epoch 75 | loss: 0.0312165 | val_loss: 0.0312245 | Time: 25436 ms [2021-04-30 19:22:50 main:581] : INFO : Epoch 76 | loss: 0.031218 | val_loss: 0.0312218 | Time: 27007.6 ms [2021-04-30 19:23:18 main:581] : INFO : Epoch 77 | loss: 0.0312159 | val_loss: 0.0312211 | Time: 27623.8 ms [2021-04-30 19:23:41 main:581] : INFO : Epoch 78 | loss: 0.0312147 | val_loss: 0.0312212 | Time: 22466.3 ms [2021-04-30 19:24:07 main:581] : INFO : Epoch 79 | loss: 0.0312145 | val_loss: 0.0312234 | Time: 26241.1 ms [2021-04-30 19:24:31 main:581] : INFO : Epoch 80 | loss: 0.0312138 | val_loss: 0.0312218 | Time: 24688.1 ms [2021-04-30 19:24:56 main:581] : INFO : Epoch 81 | loss: 0.0312146 | val_loss: 0.0312204 | Time: 24342.7 ms [2021-04-30 19:25:19 main:581] : INFO : Epoch 82 | loss: 0.0312123 | val_loss: 0.0312214 | Time: 23428.4 ms [2021-04-30 19:25:44 main:581] : INFO : Epoch 83 | loss: 0.0312121 | val_loss: 0.0312221 | Time: 25239.8 ms [2021-04-30 19:26:12 main:581] : INFO : Epoch 84 | loss: 0.0312118 | val_loss: 0.0312222 | Time: 27463.7 ms [2021-04-30 19:26:40 main:581] : INFO : Epoch 85 | loss: 0.0312125 | val_loss: 0.0312237 | Time: 28127.8 ms [2021-04-30 19:27:08 main:581] : INFO : Epoch 86 | loss: 0.0312118 | val_loss: 0.0312206 | Time: 27775.7 ms [2021-04-30 19:27:35 main:581] : INFO : Epoch 87 | loss: 0.0312142 | val_loss: 0.0312221 | Time: 27011.7 ms [2021-04-30 19:27:59 main:581] : INFO : Epoch 88 | loss: 0.0312133 | val_loss: 0.0312212 | Time: 24479.9 ms [2021-04-30 19:28:26 main:581] : INFO : Epoch 89 | loss: 0.0312113 | val_loss: 0.0312201 | Time: 27015.7 ms [2021-04-30 19:28:54 main:581] : INFO : Epoch 90 | loss: 0.0312114 | val_loss: 0.0312207 | Time: 27912.3 ms [2021-04-30 19:29:19 main:581] : INFO : Epoch 91 | loss: 0.0312117 | val_loss: 0.0312204 | Time: 24635.2 ms [2021-04-30 19:29:44 main:581] : INFO : Epoch 92 | loss: 0.0312123 | val_loss: 0.0312221 | Time: 25163.7 ms [2021-04-30 19:30:12 main:581] : INFO : Epoch 93 | loss: 0.031211 | val_loss: 0.0312199 | Time: 27723.9 ms [2021-04-30 19:30:37 main:581] : INFO : Epoch 94 | loss: 0.0312123 | val_loss: 0.0312243 | Time: 24919.8 ms [2021-04-30 19:31:04 main:581] : INFO : Epoch 95 | loss: 0.0312117 | val_loss: 0.0312211 | Time: 27587.6 ms [2021-04-30 19:31:28 main:581] : INFO : Epoch 96 | loss: 0.0312121 | val_loss: 0.0312213 | Time: 23983.8 ms [2021-04-30 19:31:55 main:581] : INFO : Epoch 97 | loss: 0.0312112 | val_loss: 0.0312215 | Time: 26499.8 ms [2021-04-30 19:32:19 main:581] : INFO : Epoch 98 | loss: 0.0312125 | val_loss: 0.0312226 | Time: 24583.7 ms [2021-04-30 19:32:44 main:581] : INFO : Epoch 99 | loss: 0.0312116 | val_loss: 0.0312218 | Time: 24655.9 ms [2021-04-30 19:33:05 main:581] : INFO : Epoch 100 | loss: 0.031213 | val_loss: 0.0312237 | Time: 21231.1 ms [2021-04-30 19:33:32 main:581] : INFO : Epoch 101 | loss: 0.0312132 | val_loss: 0.0312206 | Time: 27044.3 ms [2021-04-30 19:34:00 main:581] : INFO : Epoch 102 | loss: 0.0312106 | val_loss: 0.0312218 | Time: 28211.7 ms [2021-04-30 19:34:26 main:581] : INFO : Epoch 103 | loss: 0.0312101 | val_loss: 0.0312242 | Time: 25685.4 ms [2021-04-30 19:34:51 main:581] : INFO : Epoch 104 | loss: 0.0312107 | val_loss: 0.0312221 | Time: 24934.1 ms [2021-04-30 19:35:19 main:581] : INFO : Epoch 105 | loss: 0.031211 | val_loss: 0.031221 | Time: 27611.7 ms [2021-04-30 19:35:45 main:581] : INFO : Epoch 106 | loss: 0.0312121 | val_loss: 0.0312193 | Time: 26727.6 ms [2021-04-30 19:36:13 main:581] : INFO : Epoch 107 | loss: 0.0312122 | val_loss: 0.0312197 | Time: 27859.7 ms [2021-04-30 19:36:41 main:581] : INFO : Epoch 108 | loss: 0.0312113 | val_loss: 0.0312192 | Time: 27947.7 ms [2021-04-30 19:37:08 main:581] : INFO : Epoch 109 | loss: 0.0312102 | val_loss: 0.031219 | Time: 26506.1 ms [2021-04-30 19:37:33 main:581] : INFO : Epoch 110 | loss: 0.03121 | val_loss: 0.0312187 | Time: 25305.4 ms [2021-04-30 19:38:01 main:581] : INFO : Epoch 111 | loss: 0.0312128 | val_loss: 0.0312211 | Time: 27755.9 ms [2021-04-30 19:38:28 main:581] : INFO : Epoch 112 | loss: 0.0312111 | val_loss: 0.031221 | Time: 27223.5 ms [2021-04-30 19:38:53 main:581] : INFO : Epoch 113 | loss: 0.0312115 | val_loss: 0.0312224 | Time: 24955.4 ms [2021-04-30 19:39:20 main:581] : INFO : Epoch 114 | loss: 0.0312125 | val_loss: 0.031222 | Time: 26635.6 ms [2021-04-30 19:39:47 main:581] : INFO : Epoch 115 | loss: 0.0312127 | val_loss: 0.031224 | Time: 26947.9 ms [2021-04-30 19:40:15 main:581] : INFO : Epoch 116 | loss: 0.031215 | val_loss: 0.0312232 | Time: 28747.7 ms [2021-04-30 19:40:40 main:581] : INFO : Epoch 117 | loss: 0.0312139 | val_loss: 0.0312223 | Time: 24448.2 ms [2021-04-30 19:41:05 main:581] : INFO : Epoch 118 | loss: 0.0312135 | val_loss: 0.0312265 | Time: 25675.1 ms [2021-04-30 19:41:31 main:581] : INFO : Epoch 119 | loss: 0.031214 | val_loss: 0.0312215 | Time: 26031.8 ms [2021-04-30 19:41:58 main:581] : INFO : Epoch 120 | loss: 0.0312128 | val_loss: 0.031224 | Time: 26609.1 ms [2021-04-30 19:42:26 main:581] : INFO : Epoch 121 | loss: 0.0312119 | val_loss: 0.0312193 | Time: 27490.4 ms [2021-04-30 19:42:53 main:581] : INFO : Epoch 122 | loss: 0.0312124 | val_loss: 0.031225 | Time: 27091.7 ms [2021-04-30 19:43:21 main:581] : INFO : Epoch 123 | loss: 0.0312125 | val_loss: 0.0312227 | Time: 28383.6 ms [2021-04-30 19:43:48 main:581] : INFO : Epoch 124 | loss: 0.0312121 | val_loss: 0.0312214 | Time: 27007.9 ms [2021-04-30 19:44:17 main:581] : INFO : Epoch 125 | loss: 0.031211 | val_loss: 0.0312242 | Time: 28665.5 ms [2021-04-30 19:44:42 main:581] : INFO : Epoch 126 | loss: 0.0312127 | val_loss: 0.0312262 | Time: 25563.2 ms [2021-04-30 19:45:09 main:581] : INFO : Epoch 127 | loss: 0.0312117 | val_loss: 0.0312215 | Time: 27068.5 ms [2021-04-30 19:45:35 main:581] : INFO : Epoch 128 | loss: 0.0312094 | val_loss: 0.0312224 | Time: 25841.4 ms [2021-04-30 19:45:35 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0312224 [2021-04-30 19:45:35 main:610] : INFO : Saving end state to config to file [2021-04-30 19:45:35 main:615] : INFO : Success, exiting.. 19:45:35 (10764): 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)