| Name | ParityModified-1607233775-3730-99_0 |
| Workunit | 3079375 |
| Created | 1 May 2021, 5:34:34 UTC |
| Sent | 1 May 2021, 5:34:42 UTC |
| Report deadline | 8 May 2021, 5:34:42 UTC |
| Received | 1 May 2021, 17:47:33 UTC |
| Server state | Over |
| Outcome | Validate error |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 11158 |
| Run time | 55 min 17 sec |
| CPU time | |
| Validate state | Invalid |
| Credit | 0.00 |
| Device peak FLOPS | 13,837.92 GFLOPS |
| Application version | Machine Learning Dataset Generator (test) v9.80 (amdrocm) x86_64-pc-linux-gnu |
| Peak working set size | 1.66 GB |
| Peak swap size | 8.35 GB |
| Peak disk usage | 2.25 GB |
<core_client_version>7.16.6</core_client_version> <![CDATA[ <stderr_txt> DEBUG: Args: ../../projects/www.mlcathome.org_mlcathome/mlds-gpu_9.80_x86_64-pc-linux-gnu__rocm -c --maxepoch 128 nthreads: 1 gpudev: 0 Re-exec()-ing to set environment correctly 01:19:57 (11891): start_timer_thread(): pthread_create(): 22Machine Learning Dataset Generator v9.80 (Linux/x86_64) (libTorch: release/1.7 GPU: Vega 20 [Radeon VII]) [2021-05-01 01:19:57 main:442] : INFO : Set logging level to 1 [2021-05-01 01:19:57 main:448] : INFO : Running in BOINC Client mode [2021-05-01 01:19:57 main:451] : INFO : Resolving all filenames [2021-05-01 01:19:57 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1) [2021-05-01 01:19:57 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233775-3730-99_0_r163134888_1 (exists = 0) [2021-05-01 01:19:57 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233775-3730-99_0_r163134888_0 (exists = 0) [2021-05-01 01:19:57 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233775-3730-99 (exists = 1) [2021-05-01 01:19:57 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2021-05-01 01:19:57 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 [2021-05-01 01:19:57 main:481] : INFO : Configuration: [2021-05-01 01:19:57 main:482] : INFO : Model type: GRU [2021-05-01 01:19:57 main:483] : INFO : Validation Loss Threshold: 0.0001 [2021-05-01 01:19:57 main:484] : INFO : Max Epochs: 128 [2021-05-01 01:19:57 main:485] : INFO : Batch Size: 128 [2021-05-01 01:19:57 main:486] : INFO : Learning Rate: 0.01 [2021-05-01 01:19:57 main:487] : INFO : Patience: 10 [2021-05-01 01:19:57 main:488] : INFO : Hidden Width: 12 [2021-05-01 01:19:57 main:489] : INFO : # Recurrent Layers: 4 [2021-05-01 01:19:57 main:490] : INFO : # Backend Layers: 4 [2021-05-01 01:19:57 main:491] : INFO : # Threads: 1 [2021-05-01 01:19:57 main:493] : INFO : Preparing Dataset [2021-05-01 01:19:57 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-05-01 01:19:58 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-05-01 01:19:59 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-05-01 01:19:59 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-05-01 01:19:59 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-05-01 01:20:00 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-05-01 01:20:00 main:501] : INFO : Creating Model [2021-05-01 01:20:00 main:514] : INFO : Preparing config file [2021-05-01 01:20:00 main:526] : INFO : Creating new config file [2021-05-01 01:20:00 main:545] : INFO : This is a continuation WU, loading previous network [2021-05-01 01:20:00 main:566] : INFO : Loading DataLoader into Memory [2021-05-01 01:20:00 main:569] : INFO : Starting Training [2021-05-01 01:20:41 main:581] : INFO : Epoch 1 | loss: 0.0312421 | val_loss: 0.0312189 | Time: 41076.2 ms [2021-05-01 01:21:01 main:581] : INFO : Epoch 2 | loss: 0.0312168 | val_loss: 0.0312199 | Time: 20545.5 ms [2021-05-01 01:21:26 main:581] : INFO : Epoch 3 | loss: 0.0312141 | val_loss: 0.0312167 | Time: 24594.3 ms [2021-05-01 01:21:50 main:581] : INFO : Epoch 4 | loss: 0.0312131 | val_loss: 0.0312151 | Time: 23992.3 ms [2021-05-01 01:22:12 main:581] : INFO : Epoch 5 | loss: 0.0312122 | val_loss: 0.031215 | Time: 22544.8 ms [2021-05-01 01:22:37 main:581] : INFO : Epoch 6 | loss: 0.0312115 | val_loss: 0.0312145 | Time: 24318.3 ms [2021-05-01 01:23:00 main:581] : INFO : Epoch 7 | loss: 0.0312111 | val_loss: 0.0312146 | Time: 22850.2 ms [2021-05-01 01:23:25 main:581] : INFO : Epoch 8 | loss: 0.0312118 | val_loss: 0.0312154 | Time: 25113.4 ms [2021-05-01 01:23:47 main:581] : INFO : Epoch 9 | loss: 0.0312113 | val_loss: 0.0312147 | Time: 22451.9 ms [2021-05-01 01:24:10 main:581] : INFO : Epoch 10 | loss: 0.0312126 | val_loss: 0.0312162 | Time: 22447.4 ms [2021-05-01 01:24:37 main:581] : INFO : Epoch 11 | loss: 0.0312123 | val_loss: 0.0312156 | Time: 27357.1 ms [2021-05-01 01:25:05 main:581] : INFO : Epoch 12 | loss: 0.0312106 | val_loss: 0.0312149 | Time: 28400.2 ms [2021-05-01 01:25:33 main:581] : INFO : Epoch 13 | loss: 0.0312111 | val_loss: 0.0312156 | Time: 27966.7 ms [2021-05-01 01:25:56 main:581] : INFO : Epoch 14 | loss: 0.0312097 | val_loss: 0.0312156 | Time: 22319.2 ms [2021-05-01 01:26:20 main:581] : INFO : Epoch 15 | loss: 0.0312099 | val_loss: 0.0312169 | Time: 24516.5 ms [2021-05-01 01:26:47 main:581] : INFO : Epoch 16 | loss: 0.0312103 | val_loss: 0.0312167 | Time: 27390 ms [2021-05-01 01:27:12 main:581] : INFO : Epoch 17 | loss: 0.0312122 | val_loss: 0.0312167 | Time: 24028.9 ms [2021-05-01 01:27:39 main:581] : INFO : Epoch 18 | loss: 0.0312146 | val_loss: 0.0312163 | Time: 27016.5 ms [2021-05-01 01:28:06 main:581] : INFO : Epoch 19 | loss: 0.0312153 | val_loss: 0.031219 | Time: 27055.8 ms [2021-05-01 01:28:31 main:581] : INFO : Epoch 20 | loss: 0.0312158 | val_loss: 0.0312157 | Time: 25023.8 ms [2021-05-01 01:28:56 main:581] : INFO : Epoch 21 | loss: 0.0312139 | val_loss: 0.0312154 | Time: 25875.8 ms [2021-05-01 01:29:20 main:581] : INFO : Epoch 22 | loss: 0.0312134 | val_loss: 0.0312143 | Time: 23233.1 ms [2021-05-01 01:29:44 main:581] : INFO : Epoch 23 | loss: 0.0312121 | val_loss: 0.0312176 | Time: 24118.2 ms [2021-05-01 01:30:11 main:581] : INFO : Epoch 24 | loss: 0.0312127 | val_loss: 0.0312144 | Time: 26788.2 ms [2021-05-01 01:30:40 main:581] : INFO : Epoch 25 | loss: 0.0312128 | val_loss: 0.0312143 | Time: 28917.2 ms [2021-05-01 01:31:04 main:581] : INFO : Epoch 26 | loss: 0.0312117 | val_loss: 0.0312164 | Time: 24822.4 ms [2021-05-01 01:31:29 main:581] : INFO : Epoch 27 | loss: 0.0312125 | val_loss: 0.0312171 | Time: 24696.9 ms [2021-05-01 01:31:56 main:581] : INFO : Epoch 28 | loss: 0.0312138 | val_loss: 0.0312146 | Time: 27378.8 ms [2021-05-01 01:32:20 main:581] : INFO : Epoch 29 | loss: 0.0312115 | val_loss: 0.0312145 | Time: 23652.6 ms [2021-05-01 01:32:47 main:581] : INFO : Epoch 30 | loss: 0.0312129 | val_loss: 0.0312159 | Time: 26715 ms [2021-05-01 01:33:13 main:581] : INFO : Epoch 31 | loss: 0.0312135 | val_loss: 0.0312158 | Time: 25923.9 ms [2021-05-01 01:33:41 main:581] : INFO : Epoch 32 | loss: 0.0312138 | val_loss: 0.0312162 | Time: 28307.8 ms [2021-05-01 01:34:09 main:581] : INFO : Epoch 33 | loss: 0.0312135 | val_loss: 0.0312169 | Time: 27495.8 ms [2021-05-01 01:34:35 main:581] : INFO : Epoch 34 | loss: 0.0312137 | val_loss: 0.0312156 | Time: 26707.8 ms [2021-05-01 01:35:02 main:581] : INFO : Epoch 35 | loss: 0.0312141 | val_loss: 0.0312202 | Time: 26589.9 ms [2021-05-01 01:35:25 main:581] : INFO : Epoch 36 | loss: 0.0312166 | val_loss: 0.03122 | Time: 23533.7 ms [2021-05-01 01:35:51 main:581] : INFO : Epoch 37 | loss: 0.0312132 | val_loss: 0.0312159 | Time: 25403.8 ms [2021-05-01 01:36:18 main:581] : INFO : Epoch 38 | loss: 0.0312121 | val_loss: 0.0312161 | Time: 27438.5 ms [2021-05-01 01:36:45 main:581] : INFO : Epoch 39 | loss: 0.0312119 | val_loss: 0.0312181 | Time: 26451.4 ms [2021-05-01 01:37:12 main:581] : INFO : Epoch 40 | loss: 0.0312151 | val_loss: 0.0312175 | Time: 27061.6 ms [2021-05-01 01:37:39 main:581] : INFO : Epoch 41 | loss: 0.0312152 | val_loss: 0.0312184 | Time: 27106.6 ms [2021-05-01 01:38:03 main:581] : INFO : Epoch 42 | loss: 0.0312137 | val_loss: 0.0312174 | Time: 24654.7 ms [2021-05-01 01:38:27 main:581] : INFO : Epoch 43 | loss: 0.0312135 | val_loss: 0.0312156 | Time: 23069.3 ms [2021-05-01 01:38:51 main:581] : INFO : Epoch 44 | loss: 0.0312153 | val_loss: 0.0312172 | Time: 24248.7 ms [2021-05-01 01:39:17 main:581] : INFO : Epoch 45 | loss: 0.0312131 | val_loss: 0.0312164 | Time: 26071.8 ms [2021-05-01 01:39:41 main:581] : INFO : Epoch 46 | loss: 0.0312123 | val_loss: 0.0312196 | Time: 24584.2 ms [2021-05-01 01:40:06 main:581] : INFO : Epoch 47 | loss: 0.0312126 | val_loss: 0.0312154 | Time: 24463.5 ms [2021-05-01 01:40:31 main:581] : INFO : Epoch 48 | loss: 0.0312151 | val_loss: 0.0312216 | Time: 25463.8 ms [2021-05-01 01:40:55 main:581] : INFO : Epoch 49 | loss: 0.0312186 | val_loss: 0.0312199 | Time: 23531.7 ms [2021-05-01 01:41:21 main:581] : INFO : Epoch 50 | loss: 0.0312177 | val_loss: 0.0312199 | Time: 25647.8 ms [2021-05-01 01:41:48 main:581] : INFO : Epoch 51 | loss: 0.031218 | val_loss: 0.0312204 | Time: 27677.6 ms [2021-05-01 01:42:15 main:581] : INFO : Epoch 52 | loss: 0.0312177 | val_loss: 0.0312197 | Time: 26935.6 ms [2021-05-01 01:42:41 main:581] : INFO : Epoch 53 | loss: 0.0312188 | val_loss: 0.0312196 | Time: 25408.2 ms [2021-05-01 01:43:08 main:581] : INFO : Epoch 54 | loss: 0.0312173 | val_loss: 0.0312184 | Time: 27037.8 ms [2021-05-01 01:43:34 main:581] : INFO : Epoch 55 | loss: 0.0312177 | val_loss: 0.0312241 | Time: 26683.4 ms [2021-05-01 01:44:02 main:581] : INFO : Epoch 56 | loss: 0.0312224 | val_loss: 0.0312227 | Time: 27606 ms [2021-05-01 01:44:28 main:581] : INFO : Epoch 57 | loss: 0.0312206 | val_loss: 0.0312222 | Time: 26045.9 ms [2021-05-01 01:44:54 main:581] : INFO : Epoch 58 | loss: 0.0312216 | val_loss: 0.0312215 | Time: 25992.3 ms [2021-05-01 01:45:23 main:581] : INFO : Epoch 59 | loss: 0.0312191 | val_loss: 0.0312216 | Time: 28673.1 ms [2021-05-01 01:45:48 main:581] : INFO : Epoch 60 | loss: 0.0312183 | val_loss: 0.0312208 | Time: 25737.9 ms [2021-05-01 01:46:16 main:581] : INFO : Epoch 61 | loss: 0.031218 | val_loss: 0.0312206 | Time: 27366.5 ms [2021-05-01 01:46:41 main:581] : INFO : Epoch 62 | loss: 0.0312179 | val_loss: 0.0312203 | Time: 25387.5 ms [2021-05-01 01:47:06 main:581] : INFO : Epoch 63 | loss: 0.0312187 | val_loss: 0.0312212 | Time: 25337.4 ms [2021-05-01 01:47:33 main:581] : INFO : Epoch 64 | loss: 0.0312199 | val_loss: 0.0312208 | Time: 26143.8 ms [2021-05-01 01:48:00 main:581] : INFO : Epoch 65 | loss: 0.0312198 | val_loss: 0.0312197 | Time: 27658.1 ms [2021-05-01 01:48:29 main:581] : INFO : Epoch 66 | loss: 0.0312224 | val_loss: 0.0312266 | Time: 28750 ms [2021-05-01 01:48:58 main:581] : INFO : Epoch 67 | loss: 0.0312271 | val_loss: 0.0312274 | Time: 28571.3 ms [2021-05-01 01:49:25 main:581] : INFO : Epoch 68 | loss: 0.0312252 | val_loss: 0.0312324 | Time: 27309.4 ms [2021-05-01 01:49:52 main:581] : INFO : Epoch 69 | loss: 0.0312258 | val_loss: 0.031224 | Time: 27450.2 ms [2021-05-01 01:50:16 main:581] : INFO : Epoch 70 | loss: 0.0312245 | val_loss: 0.0312269 | Time: 23521.6 ms [2021-05-01 01:50:37 main:581] : INFO : Epoch 71 | loss: 0.0312243 | val_loss: 0.031224 | Time: 20838 ms [2021-05-01 01:51:00 main:581] : INFO : Epoch 72 | loss: 0.0312225 | val_loss: 0.0312245 | Time: 23089 ms [2021-05-01 01:51:26 main:581] : INFO : Epoch 73 | loss: 0.0312217 | val_loss: 0.0312234 | Time: 26364.3 ms [2021-05-01 01:51:53 main:581] : INFO : Epoch 74 | loss: 0.0312227 | val_loss: 0.0312261 | Time: 27201.7 ms [2021-05-01 01:52:18 main:581] : INFO : Epoch 75 | loss: 0.0312242 | val_loss: 0.0312264 | Time: 24836.2 ms [2021-05-01 01:52:46 main:581] : INFO : Epoch 76 | loss: 0.0312219 | val_loss: 0.0312242 | Time: 28015.9 ms [2021-05-01 01:53:09 main:581] : INFO : Epoch 77 | loss: 0.0312228 | val_loss: 0.0312238 | Time: 22804.9 ms [2021-05-01 01:53:37 main:581] : INFO : Epoch 78 | loss: 0.0312242 | val_loss: 0.0312294 | Time: 27941.6 ms [2021-05-01 01:54:04 main:581] : INFO : Epoch 79 | loss: 0.0312253 | val_loss: 0.0312268 | Time: 27244.8 ms [2021-05-01 01:54:28 main:581] : INFO : Epoch 80 | loss: 0.0312232 | val_loss: 0.0312242 | Time: 23795.9 ms [2021-05-01 01:54:55 main:581] : INFO : Epoch 81 | loss: 0.0312217 | val_loss: 0.0312229 | Time: 26746.4 ms [2021-05-01 01:55:22 main:581] : INFO : Epoch 82 | loss: 0.0312209 | val_loss: 0.0312222 | Time: 27320.8 ms [2021-05-01 01:55:50 main:581] : INFO : Epoch 83 | loss: 0.0312204 | val_loss: 0.0312251 | Time: 27875.7 ms [2021-05-01 01:56:19 main:581] : INFO : Epoch 84 | loss: 0.0312203 | val_loss: 0.031222 | Time: 28899.8 ms [2021-05-01 01:56:47 main:581] : INFO : Epoch 85 | loss: 0.0312199 | val_loss: 0.0312218 | Time: 27775.8 ms [2021-05-01 01:57:09 main:581] : INFO : Epoch 86 | loss: 0.0312189 | val_loss: 0.0312213 | Time: 22382.8 ms [2021-05-01 01:57:33 main:581] : INFO : Epoch 87 | loss: 0.0312196 | val_loss: 0.0312242 | Time: 24296.7 ms [2021-05-01 01:57:56 main:581] : INFO : Epoch 88 | loss: 0.0312225 | val_loss: 0.0312238 | Time: 23047.8 ms [2021-05-01 01:58:22 main:581] : INFO : Epoch 89 | loss: 0.0312204 | val_loss: 0.0312227 | Time: 25758.2 ms [2021-05-01 01:58:50 main:581] : INFO : Epoch 90 | loss: 0.0312204 | val_loss: 0.0312216 | Time: 27968.9 ms [2021-05-01 01:59:15 main:581] : INFO : Epoch 91 | loss: 0.0312189 | val_loss: 0.0312214 | Time: 24959.4 ms [2021-05-01 01:59:43 main:581] : INFO : Epoch 92 | loss: 0.0312192 | val_loss: 0.0312211 | Time: 28103.3 ms [2021-05-01 02:00:09 main:581] : INFO : Epoch 93 | loss: 0.0312194 | val_loss: 0.0312243 | Time: 26095.7 ms [2021-05-01 02:00:34 main:581] : INFO : Epoch 94 | loss: 0.0312193 | val_loss: 0.0312216 | Time: 25183.7 ms [2021-05-01 02:01:02 main:581] : INFO : Epoch 95 | loss: 0.031219 | val_loss: 0.0312225 | Time: 27171.8 ms [2021-05-01 02:01:29 main:581] : INFO : Epoch 96 | loss: 0.0312198 | val_loss: 0.0312222 | Time: 27642.3 ms [2021-05-01 02:01:56 main:581] : INFO : Epoch 97 | loss: 0.0312223 | val_loss: 0.0312285 | Time: 26369.2 ms [2021-05-01 02:02:19 main:581] : INFO : Epoch 98 | loss: 0.0312262 | val_loss: 0.0312262 | Time: 22942.5 ms [2021-05-01 02:02:45 main:581] : INFO : Epoch 99 | loss: 0.0312249 | val_loss: 0.0312258 | Time: 26853.3 ms [2021-05-01 02:03:14 main:581] : INFO : Epoch 100 | loss: 0.0312254 | val_loss: 0.0312245 | Time: 28863.5 ms [2021-05-01 02:03:42 main:581] : INFO : Epoch 101 | loss: 0.0312253 | val_loss: 0.0312311 | Time: 27275.8 ms [2021-05-01 02:04:05 main:581] : INFO : Epoch 102 | loss: 0.031225 | val_loss: 0.0312258 | Time: 23607.7 ms [2021-05-01 02:04:33 main:581] : INFO : Epoch 103 | loss: 0.0312262 | val_loss: 0.0312246 | Time: 27508.9 ms [2021-05-01 02:05:00 main:581] : INFO : Epoch 104 | loss: 0.0312248 | val_loss: 0.0312244 | Time: 27706.6 ms [2021-05-01 02:05:24 main:581] : INFO : Epoch 105 | loss: 0.0312234 | val_loss: 0.0312254 | Time: 23648.1 ms [2021-05-01 02:05:47 main:581] : INFO : Epoch 106 | loss: 0.0312226 | val_loss: 0.0312242 | Time: 23439.4 ms [2021-05-01 02:06:12 main:581] : INFO : Epoch 107 | loss: 0.0312231 | val_loss: 0.031224 | Time: 24829.8 ms [2021-05-01 02:06:35 main:581] : INFO : Epoch 108 | loss: 0.0312227 | val_loss: 0.0312241 | Time: 22962.6 ms [2021-05-01 02:07:00 main:581] : INFO : Epoch 109 | loss: 0.0312226 | val_loss: 0.0312244 | Time: 24775.7 ms [2021-05-01 02:07:24 main:581] : INFO : Epoch 110 | loss: 0.0312222 | val_loss: 0.0312249 | Time: 23943.9 ms [2021-05-01 02:07:45 main:581] : INFO : Epoch 111 | loss: 0.0312228 | val_loss: 0.0312321 | Time: 21271.4 ms [2021-05-01 02:08:11 main:581] : INFO : Epoch 112 | loss: 0.0312241 | val_loss: 0.0312295 | Time: 25863 ms [2021-05-01 02:08:39 main:581] : INFO : Epoch 113 | loss: 0.0312234 | val_loss: 0.0312251 | Time: 27981.9 ms [2021-05-01 02:09:06 main:581] : INFO : Epoch 114 | loss: 0.0312362 | val_loss: 0.031227 | Time: 27333.8 ms [2021-05-01 02:09:28 main:581] : INFO : Epoch 115 | loss: 0.0312273 | val_loss: 0.0312274 | Time: 21744.9 ms [2021-05-01 02:09:51 main:581] : INFO : Epoch 116 | loss: 0.0312229 | val_loss: 0.0312246 | Time: 22962.4 ms [2021-05-01 02:10:17 main:581] : INFO : Epoch 117 | loss: 0.0312224 | val_loss: 0.0312271 | Time: 25655.7 ms [2021-05-01 02:10:45 main:581] : INFO : Epoch 118 | loss: 0.0312227 | val_loss: 0.031224 | Time: 28353.9 ms [2021-05-01 02:11:13 main:581] : INFO : Epoch 119 | loss: 0.0312209 | val_loss: 0.0312244 | Time: 27906.5 ms [2021-05-01 02:11:39 main:581] : INFO : Epoch 120 | loss: 0.03122 | val_loss: 0.0312239 | Time: 25930.8 ms [2021-05-01 02:12:05 main:581] : INFO : Epoch 121 | loss: 0.0312207 | val_loss: 0.0312249 | Time: 25558.7 ms [2021-05-01 02:12:32 main:581] : INFO : Epoch 122 | loss: 0.0312219 | val_loss: 0.031228 | Time: 27156.9 ms [2021-05-01 02:12:57 main:581] : INFO : Epoch 123 | loss: 0.031225 | val_loss: 0.0312252 | Time: 25344.4 ms [2021-05-01 02:13:21 main:581] : INFO : Epoch 124 | loss: 0.031225 | val_loss: 0.0312255 | Time: 24126.9 ms [2021-05-01 02:13:48 main:581] : INFO : Epoch 125 | loss: 0.0312229 | val_loss: 0.0312249 | Time: 26743.7 ms [2021-05-01 02:14:12 main:581] : INFO : Epoch 126 | loss: 0.031222 | val_loss: 0.0312243 | Time: 24511.7 ms [2021-05-01 02:14:39 main:581] : INFO : Epoch 127 | loss: 0.0312212 | val_loss: 0.0312244 | Time: 26557.3 ms [2021-05-01 02:15:06 main:581] : INFO : Epoch 128 | loss: 0.0312216 | val_loss: 0.0312242 | Time: 27258.2 ms [2021-05-01 02:15:06 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0312242 [2021-05-01 02:15:06 main:610] : INFO : Saving end state to config to file [2021-05-01 02:15:06 main:615] : INFO : Success, exiting.. 02:15:06 (11891): 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)