Task 3171899
| Name | rand_automata_0082-1606118020-23562-99_1 |
| Workunit | 1404461 |
| Created | 4 Dec 2020, 0:23:26 UTC |
| Sent | 4 Dec 2020, 0:34:21 UTC |
| Report deadline | 11 Dec 2020, 0:34:21 UTC |
| Received | 4 Dec 2020, 10:20:34 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 4379 |
| Run time | 13 min 4 sec |
| CPU time | 13 min |
| Validate state | Valid |
| Credit | 959.40 |
| Device peak FLOPS | 4,498.73 GFLOPS |
| Application version | Machine Learning Dataset Generator (test) v9.80 (cuda10200) x86_64-pc-linux-gnu |
| Peak working set size | 2.19 GB |
| Peak swap size | 10.01 GB |
| Peak disk usage | 2.98 GB |
Stderr output
<core_client_version>7.16.11</core_client_version> <![CDATA[ <stderr_txt> DEBUG: Args: ../../projects/www.mlcathome.org_mlcathome/mlds-gpu_9.80_x86_64-pc-linux-gnu__cuda10200 -c -a LSTM --lr 0.001 -w 64 -b 2 -s 32 --maxepoch 192 nthreads: 1 gpudev: 0 Re-exec()-ing to set environment correctly Machine Learning Dataset Generator v9.80 (Linux/x86_64) (libTorch: release/1.7 GPU: GeForce GTX 1650 SUPER) [2020-12-04 04:19:45 main:442] : INFO : Set logging level to 1 [2020-12-04 04:19:45 main:448] : INFO : Running in BOINC Client mode [2020-12-04 04:19:45 main:451] : INFO : Resolving all filenames [2020-12-04 04:19:45 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 (exists = 1) [2020-12-04 04:19:45 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1606118020-23562-99_1_r415798158_1 (exists = 0) [2020-12-04 04:19:45 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1606118020-23562-99_1_r415798158_0 (exists = 0) [2020-12-04 04:19:45 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1606118020-23562-99 (exists = 1) [2020-12-04 04:19:45 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-12-04 04:19:45 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 [2020-12-04 04:19:45 main:481] : INFO : Configuration: [2020-12-04 04:19:45 main:482] : INFO : Model type: LSTM [2020-12-04 04:19:45 main:483] : INFO : Validation Loss Threshold: 0.0001 [2020-12-04 04:19:45 main:484] : INFO : Max Epochs: 192 [2020-12-04 04:19:45 main:485] : INFO : Batch Size: 32 [2020-12-04 04:19:45 main:486] : INFO : Learning Rate: 0.001 [2020-12-04 04:19:45 main:487] : INFO : Patience: 10 [2020-12-04 04:19:45 main:488] : INFO : Hidden Width: 64 [2020-12-04 04:19:45 main:489] : INFO : # Recurrent Layers: 4 [2020-12-04 04:19:45 main:490] : INFO : # Backend Layers: 2 [2020-12-04 04:19:45 main:491] : INFO : # Threads: 1 [2020-12-04 04:19:45 main:493] : INFO : Preparing Dataset [2020-12-04 04:19:45 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 into memory [2020-12-04 04:19:45 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 into memory [2020-12-04 04:19:46 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-12-04 04:19:46 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 into memory [2020-12-04 04:19:46 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 into memory [2020-12-04 04:19:46 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-12-04 04:19:46 main:501] : INFO : Creating Model [2020-12-04 04:19:46 main:514] : INFO : Preparing config file [2020-12-04 04:19:46 main:526] : INFO : Creating new config file [2020-12-04 04:19:46 main:545] : INFO : This is a continuation WU, loading previous network [2020-12-04 04:19:47 main:566] : INFO : Loading DataLoader into Memory [2020-12-04 04:19:47 main:569] : INFO : Starting Training [2020-12-04 04:19:51 main:581] : INFO : Epoch 1 | loss: 0.0639988 | val_loss: 0.0639548 | Time: 4516.99 ms [2020-12-04 04:19:55 main:581] : INFO : Epoch 2 | loss: 0.0639788 | val_loss: 0.0639327 | Time: 4059.58 ms [2020-12-04 04:19:59 main:581] : INFO : Epoch 3 | loss: 0.0639501 | val_loss: 0.063938 | Time: 4056.4 ms [2020-12-04 04:20:04 main:581] : INFO : Epoch 4 | loss: 0.0639508 | val_loss: 0.0639156 | Time: 4054.47 ms [2020-12-04 04:20:08 main:581] : INFO : Epoch 5 | loss: 0.063938 | val_loss: 0.0638905 | Time: 4064.71 ms [2020-12-04 04:20:12 main:581] : INFO : Epoch 6 | loss: 0.0639095 | val_loss: 0.0638828 | Time: 4061.21 ms [2020-12-04 04:20:16 main:581] : INFO : Epoch 7 | loss: 0.0639065 | val_loss: 0.0638696 | Time: 4062.14 ms [2020-12-04 04:20:20 main:581] : INFO : Epoch 8 | loss: 0.0639029 | val_loss: 0.0638837 | Time: 4064.42 ms [2020-12-04 04:20:24 main:581] : INFO : Epoch 9 | loss: 0.0639023 | val_loss: 0.0638786 | Time: 4058.47 ms [2020-12-04 04:20:28 main:581] : INFO : Epoch 10 | loss: 0.0639002 | val_loss: 0.0638715 | Time: 4057.15 ms [2020-12-04 04:20:32 main:581] : INFO : Epoch 11 | loss: 0.0639009 | val_loss: 0.0638754 | Time: 4058.18 ms [2020-12-04 04:20:36 main:581] : INFO : Epoch 12 | loss: 0.0638772 | val_loss: 0.0638623 | Time: 4062.39 ms [2020-12-04 04:20:40 main:581] : INFO : Epoch 13 | loss: 0.0638927 | val_loss: 0.0638778 | Time: 4060.57 ms [2020-12-04 04:20:44 main:581] : INFO : Epoch 14 | loss: 0.0638924 | val_loss: 0.063851 | Time: 4059.19 ms [2020-12-04 04:20:48 main:581] : INFO : Epoch 15 | loss: 0.0638783 | val_loss: 0.0638287 | Time: 4062.94 ms [2020-12-04 04:20:52 main:581] : INFO : Epoch 16 | loss: 0.0638513 | val_loss: 0.0638414 | Time: 4058.69 ms [2020-12-04 04:20:56 main:581] : INFO : Epoch 17 | loss: 0.0638661 | val_loss: 0.0638467 | Time: 4057.99 ms [2020-12-04 04:21:00 main:581] : INFO : Epoch 18 | loss: 0.0638676 | val_loss: 0.0638631 | Time: 4050.33 ms [2020-12-04 04:21:04 main:581] : INFO : Epoch 19 | loss: 0.0638695 | val_loss: 0.0638338 | Time: 4049.82 ms [2020-12-04 04:21:08 main:581] : INFO : Epoch 20 | loss: 0.063861 | val_loss: 0.0638414 | Time: 4049.74 ms [2020-12-04 04:21:13 main:581] : INFO : Epoch 21 | loss: 0.0638623 | val_loss: 0.0638369 | Time: 4049.52 ms [2020-12-04 04:21:17 main:581] : INFO : Epoch 22 | loss: 0.0638365 | val_loss: 0.0638032 | Time: 4051.7 ms [2020-12-04 04:21:21 main:581] : INFO : Epoch 23 | loss: 0.0638273 | val_loss: 0.0638131 | Time: 4062.01 ms [2020-12-04 04:21:25 main:581] : INFO : Epoch 24 | loss: 0.0638319 | val_loss: 0.0638179 | Time: 4061.79 ms [2020-12-04 04:21:29 main:581] : INFO : Epoch 25 | loss: 0.0638357 | val_loss: 0.0638257 | Time: 4066.08 ms [2020-12-04 04:21:33 main:581] : INFO : Epoch 26 | loss: 0.063826 | val_loss: 0.0637847 | Time: 4066.3 ms [2020-12-04 04:21:37 main:581] : INFO : Epoch 27 | loss: 0.0638285 | val_loss: 0.0638131 | Time: 4061.77 ms [2020-12-04 04:21:41 main:581] : INFO : Epoch 28 | loss: 0.0638314 | val_loss: 0.0638425 | Time: 4065.35 ms [2020-12-04 04:21:45 main:581] : INFO : Epoch 29 | loss: 0.0638652 | val_loss: 0.063831 | Time: 4059.26 ms [2020-12-04 04:21:49 main:581] : INFO : Epoch 30 | loss: 0.0638506 | val_loss: 0.0638018 | Time: 4057.03 ms [2020-12-04 04:21:53 main:581] : INFO : Epoch 31 | loss: 0.0638267 | val_loss: 0.0638057 | Time: 4055.42 ms [2020-12-04 04:21:57 main:581] : INFO : Epoch 32 | loss: 0.063822 | val_loss: 0.0637956 | Time: 4062.85 ms [2020-12-04 04:22:01 main:581] : INFO : Epoch 33 | loss: 0.063818 | val_loss: 0.0638209 | Time: 4062.38 ms [2020-12-04 04:22:05 main:581] : INFO : Epoch 34 | loss: 0.0638317 | val_loss: 0.0638021 | Time: 4061.25 ms [2020-12-04 04:22:09 main:581] : INFO : Epoch 35 | loss: 0.0638219 | val_loss: 0.0637944 | Time: 4062.17 ms [2020-12-04 04:22:13 main:581] : INFO : Epoch 36 | loss: 0.0638506 | val_loss: 0.0638364 | Time: 4062.31 ms [2020-12-04 04:22:18 main:581] : INFO : Epoch 37 | loss: 0.0638486 | val_loss: 0.0638124 | Time: 4051.37 ms [2020-12-04 04:22:22 main:581] : INFO : Epoch 38 | loss: 0.0638381 | val_loss: 0.0638008 | Time: 4054.5 ms [2020-12-04 04:22:26 main:581] : INFO : Epoch 39 | loss: 0.0638379 | val_loss: 0.0638068 | Time: 4058.34 ms [2020-12-04 04:22:30 main:581] : INFO : Epoch 40 | loss: 0.0638319 | val_loss: 0.0638184 | Time: 4056.18 ms [2020-12-04 04:22:34 main:581] : INFO : Epoch 41 | loss: 0.0638223 | val_loss: 0.0638106 | Time: 4062.42 ms [2020-12-04 04:22:38 main:581] : INFO : Epoch 42 | loss: 0.0638123 | val_loss: 0.0638446 | Time: 4061.26 ms [2020-12-04 04:22:42 main:581] : INFO : Epoch 43 | loss: 0.0638127 | val_loss: 0.0637933 | Time: 4061.49 ms [2020-12-04 04:22:46 main:581] : INFO : Epoch 44 | loss: 0.063803 | val_loss: 0.0637907 | Time: 4063.77 ms [2020-12-04 04:22:50 main:581] : INFO : Epoch 45 | loss: 0.0638076 | val_loss: 0.0637801 | Time: 4061.53 ms [2020-12-04 04:22:54 main:581] : INFO : Epoch 46 | loss: 0.0637851 | val_loss: 0.0637661 | Time: 4060.01 ms [2020-12-04 04:22:58 main:581] : INFO : Epoch 47 | loss: 0.0637881 | val_loss: 0.0638199 | Time: 4060.2 ms [2020-12-04 04:23:02 main:581] : INFO : Epoch 48 | loss: 0.063825 | val_loss: 0.0638373 | Time: 4064.49 ms [2020-12-04 04:23:06 main:581] : INFO : Epoch 49 | loss: 0.0638243 | val_loss: 0.0638254 | Time: 4060.39 ms [2020-12-04 04:23:10 main:581] : INFO : Epoch 50 | loss: 0.0638238 | val_loss: 0.0638051 | Time: 4061.85 ms [2020-12-04 04:23:14 main:581] : INFO : Epoch 51 | loss: 0.0637824 | val_loss: 0.0637557 | Time: 4058.56 ms [2020-12-04 04:23:18 main:581] : INFO : Epoch 52 | loss: 0.0637264 | val_loss: 0.0636571 | Time: 4065.83 ms [2020-12-04 04:23:22 main:581] : INFO : Epoch 53 | loss: 0.0636774 | val_loss: 0.0636509 | Time: 4056.82 ms [2020-12-04 04:23:27 main:581] : INFO : Epoch 54 | loss: 0.0636738 | val_loss: 0.0636649 | Time: 4060.25 ms [2020-12-04 04:23:31 main:581] : INFO : Epoch 55 | loss: 0.0636707 | val_loss: 0.0636609 | Time: 4060.2 ms [2020-12-04 04:23:35 main:581] : INFO : Epoch 56 | loss: 0.0636713 | val_loss: 0.063669 | Time: 4051.53 ms [2020-12-04 04:23:39 main:581] : INFO : Epoch 57 | loss: 0.0636734 | val_loss: 0.0636444 | Time: 4060.45 ms [2020-12-04 04:23:43 main:581] : INFO : Epoch 58 | loss: 0.0636744 | val_loss: 0.0636347 | Time: 4058.35 ms [2020-12-04 04:23:47 main:581] : INFO : Epoch 59 | loss: 0.0636641 | val_loss: 0.0636371 | Time: 4054.09 ms [2020-12-04 04:23:51 main:581] : INFO : Epoch 60 | loss: 0.0636614 | val_loss: 0.063643 | Time: 4053.09 ms [2020-12-04 04:23:55 main:581] : INFO : Epoch 61 | loss: 0.0636626 | val_loss: 0.0636348 | Time: 4056.36 ms [2020-12-04 04:23:59 main:581] : INFO : Epoch 62 | loss: 0.0636605 | val_loss: 0.0636311 | Time: 4061.17 ms [2020-12-04 04:24:03 main:581] : INFO : Epoch 63 | loss: 0.0636615 | val_loss: 0.0636274 | Time: 4060.79 ms [2020-12-04 04:24:07 main:581] : INFO : Epoch 64 | loss: 0.0636607 | val_loss: 0.0636355 | Time: 4055.51 ms [2020-12-04 04:24:11 main:581] : INFO : Epoch 65 | loss: 0.0636578 | val_loss: 0.0636216 | Time: 4049.84 ms [2020-12-04 04:24:15 main:581] : INFO : Epoch 66 | loss: 0.0636586 | val_loss: 0.0636338 | Time: 4048.75 ms [2020-12-04 04:24:19 main:581] : INFO : Epoch 67 | loss: 0.0636616 | val_loss: 0.0636402 | Time: 4047.98 ms [2020-12-04 04:24:23 main:581] : INFO : Epoch 68 | loss: 0.0636573 | val_loss: 0.0636474 | Time: 4056.91 ms [2020-12-04 04:24:27 main:581] : INFO : Epoch 69 | loss: 0.0636541 | val_loss: 0.0636308 | Time: 4056.44 ms [2020-12-04 04:24:31 main:581] : INFO : Epoch 70 | loss: 0.0636413 | val_loss: 0.0636406 | Time: 4052.06 ms [2020-12-04 04:24:35 main:581] : INFO : Epoch 71 | loss: 0.0636398 | val_loss: 0.0636389 | Time: 4057.46 ms [2020-12-04 04:24:40 main:581] : INFO : Epoch 72 | loss: 0.0636288 | val_loss: 0.0636205 | Time: 4062.74 ms [2020-12-04 04:24:44 main:581] : INFO : Epoch 73 | loss: 0.0636244 | val_loss: 0.0636132 | Time: 4061.61 ms [2020-12-04 04:24:48 main:581] : INFO : Epoch 74 | loss: 0.0636254 | val_loss: 0.0636285 | Time: 4052.54 ms [2020-12-04 04:24:52 main:581] : INFO : Epoch 75 | loss: 0.063624 | val_loss: 0.0636181 | Time: 4060.25 ms [2020-12-04 04:24:56 main:581] : INFO : Epoch 76 | loss: 0.0636207 | val_loss: 0.0636231 | Time: 4056.98 ms [2020-12-04 04:25:00 main:581] : INFO : Epoch 77 | loss: 0.0636252 | val_loss: 0.0636227 | Time: 4055.92 ms [2020-12-04 04:25:04 main:581] : INFO : Epoch 78 | loss: 0.0636223 | val_loss: 0.0636212 | Time: 4052.07 ms [2020-12-04 04:25:08 main:581] : INFO : Epoch 79 | loss: 0.0636249 | val_loss: 0.063612 | Time: 4057.95 ms [2020-12-04 04:25:12 main:581] : INFO : Epoch 80 | loss: 0.063641 | val_loss: 0.0636275 | Time: 4059.3 ms [2020-12-04 04:25:16 main:581] : INFO : Epoch 81 | loss: 0.0636502 | val_loss: 0.0636254 | Time: 4057.88 ms [2020-12-04 04:25:20 main:581] : INFO : Epoch 82 | loss: 0.0636434 | val_loss: 0.0636229 | Time: 4058.9 ms [2020-12-04 04:25:24 main:581] : INFO : Epoch 83 | loss: 0.0636492 | val_loss: 0.0636839 | Time: 4055.55 ms [2020-12-04 04:25:28 main:581] : INFO : Epoch 84 | loss: 0.0637048 | val_loss: 0.0636806 | Time: 4057.8 ms [2020-12-04 04:25:32 main:581] : INFO : Epoch 85 | loss: 0.0637027 | val_loss: 0.0636788 | Time: 4049.07 ms [2020-12-04 04:25:36 main:581] : INFO : Epoch 86 | loss: 0.0637034 | val_loss: 0.0636814 | Time: 4052.22 ms [2020-12-04 04:25:40 main:581] : INFO : Epoch 87 | loss: 0.0637072 | val_loss: 0.0636838 | Time: 4050.8 ms [2020-12-04 04:25:44 main:581] : INFO : Epoch 88 | loss: 0.0637059 | val_loss: 0.0636846 | Time: 4052.33 ms [2020-12-04 04:25:48 main:581] : INFO : Epoch 89 | loss: 0.0637046 | val_loss: 0.0636833 | Time: 4049.63 ms [2020-12-04 04:25:53 main:581] : INFO : Epoch 90 | loss: 0.0637038 | val_loss: 0.0636761 | Time: 4058.84 ms [2020-12-04 04:25:57 main:581] : INFO : Epoch 91 | loss: 0.0637038 | val_loss: 0.0636825 | Time: 4056.68 ms [2020-12-04 04:26:01 main:581] : INFO : Epoch 92 | loss: 0.0637106 | val_loss: 0.0636908 | Time: 4064.38 ms [2020-12-04 04:26:05 main:581] : INFO : Epoch 93 | loss: 0.063712 | val_loss: 0.0636988 | Time: 4058.65 ms [2020-12-04 04:26:09 main:581] : INFO : Epoch 94 | loss: 0.0637115 | val_loss: 0.0636968 | Time: 4062.99 ms [2020-12-04 04:26:13 main:581] : INFO : Epoch 95 | loss: 0.0637094 | val_loss: 0.0636884 | Time: 4062.35 ms [2020-12-04 04:26:17 main:581] : INFO : Epoch 96 | loss: 0.063704 | val_loss: 0.063686 | Time: 4062.56 ms [2020-12-04 04:26:21 main:581] : INFO : Epoch 97 | loss: 0.0637004 | val_loss: 0.063687 | Time: 4048.28 ms [2020-12-04 04:26:25 main:581] : INFO : Epoch 98 | loss: 0.0637032 | val_loss: 0.0636953 | Time: 4047.11 ms [2020-12-04 04:26:29 main:581] : INFO : Epoch 99 | loss: 0.063707 | val_loss: 0.0636939 | Time: 4049.14 ms [2020-12-04 04:26:33 main:581] : INFO : Epoch 100 | loss: 0.0637088 | val_loss: 0.0636952 | Time: 4054.45 ms [2020-12-04 04:26:37 main:581] : INFO : Epoch 101 | loss: 0.0637074 | val_loss: 0.0636952 | Time: 4057.51 ms [2020-12-04 04:26:41 main:581] : INFO : Epoch 102 | loss: 0.0637112 | val_loss: 0.0637103 | Time: 4061.38 ms [2020-12-04 04:26:45 main:581] : INFO : Epoch 103 | loss: 0.0637124 | val_loss: 0.0637132 | Time: 4063.99 ms [2020-12-04 04:26:49 main:581] : INFO : Epoch 104 | loss: 0.0637149 | val_loss: 0.0637064 | Time: 4065.77 ms [2020-12-04 04:26:53 main:581] : INFO : Epoch 105 | loss: 0.0637139 | val_loss: 0.0637045 | Time: 4063.94 ms [2020-12-04 04:26:58 main:581] : INFO : Epoch 106 | loss: 0.0637048 | val_loss: 0.0636711 | Time: 4068.95 ms [2020-12-04 04:27:02 main:581] : INFO : Epoch 107 | loss: 0.0636778 | val_loss: 0.0636422 | Time: 4066.19 ms [2020-12-04 04:27:06 main:581] : INFO : Epoch 108 | loss: 0.0636655 | val_loss: 0.0636466 | Time: 4061.74 ms [2020-12-04 04:27:10 main:581] : INFO : Epoch 109 | loss: 0.0636627 | val_loss: 0.0636427 | Time: 4053.22 ms [2020-12-04 04:27:14 main:581] : INFO : Epoch 110 | loss: 0.0636631 | val_loss: 0.0636429 | Time: 4054.05 ms [2020-12-04 04:27:18 main:581] : INFO : Epoch 111 | loss: 0.0636659 | val_loss: 0.0636378 | Time: 4059.22 ms [2020-12-04 04:27:22 main:581] : INFO : Epoch 112 | loss: 0.063665 | val_loss: 0.0636448 | Time: 4057.71 ms [2020-12-04 04:27:26 main:581] : INFO : Epoch 113 | loss: 0.0636641 | val_loss: 0.0636396 | Time: 4060.69 ms [2020-12-04 04:27:30 main:581] : INFO : Epoch 114 | loss: 0.0636645 | val_loss: 0.0636446 | Time: 4051.75 ms [2020-12-04 04:27:34 main:581] : INFO : Epoch 115 | loss: 0.0636652 | val_loss: 0.0636382 | Time: 4052.76 ms [2020-12-04 04:27:38 main:581] : INFO : Epoch 116 | loss: 0.0636634 | val_loss: 0.0636339 | Time: 4054.54 ms [2020-12-04 04:27:42 main:581] : INFO : Epoch 117 | loss: 0.063665 | val_loss: 0.0636432 | Time: 4062.37 ms [2020-12-04 04:27:46 main:581] : INFO : Epoch 118 | loss: 0.0636657 | val_loss: 0.0636423 | Time: 4066.84 ms [2020-12-04 04:27:50 main:581] : INFO : Epoch 119 | loss: 0.0636651 | val_loss: 0.063641 | Time: 4061.65 ms [2020-12-04 04:27:54 main:581] : INFO : Epoch 120 | loss: 0.0636565 | val_loss: 0.0636339 | Time: 4063.9 ms [2020-12-04 04:27:58 main:581] : INFO : Epoch 121 | loss: 0.0636546 | val_loss: 0.0636354 | Time: 4061.46 ms [2020-12-04 04:28:02 main:581] : INFO : Epoch 122 | loss: 0.0636541 | val_loss: 0.0636263 | Time: 4065.29 ms [2020-12-04 04:28:07 main:581] : INFO : Epoch 123 | loss: 0.063658 | val_loss: 0.0636432 | Time: 4066.02 ms [2020-12-04 04:28:11 main:581] : INFO : Epoch 124 | loss: 0.0636562 | val_loss: 0.0636523 | Time: 4064.95 ms [2020-12-04 04:28:15 main:581] : INFO : Epoch 125 | loss: 0.063658 | val_loss: 0.0636423 | Time: 4063.34 ms [2020-12-04 04:28:19 main:581] : INFO : Epoch 126 | loss: 0.0636547 | val_loss: 0.0636522 | Time: 4067.34 ms [2020-12-04 04:28:23 main:581] : INFO : Epoch 127 | loss: 0.0636534 | val_loss: 0.0636497 | Time: 4063.78 ms [2020-12-04 04:28:27 main:581] : INFO : Epoch 128 | loss: 0.0636577 | val_loss: 0.0636512 | Time: 4061.39 ms [2020-12-04 04:28:31 main:581] : INFO : Epoch 129 | loss: 0.0636572 | val_loss: 0.0636484 | Time: 4067.72 ms [2020-12-04 04:28:35 main:581] : INFO : Epoch 130 | loss: 0.0636547 | val_loss: 0.063649 | Time: 4060.28 ms [2020-12-04 04:28:39 main:581] : INFO : Epoch 131 | loss: 0.0636567 | val_loss: 0.0636456 | Time: 4061.21 ms [2020-12-04 04:28:43 main:581] : INFO : Epoch 132 | loss: 0.0636562 | val_loss: 0.0636545 | Time: 4060.57 ms [2020-12-04 04:28:47 main:581] : INFO : Epoch 133 | loss: 0.06366 | val_loss: 0.0636391 | Time: 4063.36 ms [2020-12-04 04:28:51 main:581] : INFO : Epoch 134 | loss: 0.063659 | val_loss: 0.0636467 | Time: 4051.5 ms [2020-12-04 04:28:55 main:581] : INFO : Epoch 135 | loss: 0.0636573 | val_loss: 0.0636421 | Time: 4053.63 ms [2020-12-04 04:28:59 main:581] : INFO : Epoch 136 | loss: 0.0636601 | val_loss: 0.0636477 | Time: 4060.82 ms [2020-12-04 04:29:03 main:581] : INFO : Epoch 137 | loss: 0.0636563 | val_loss: 0.0636385 | Time: 4053.75 ms [2020-12-04 04:29:07 main:581] : INFO : Epoch 138 | loss: 0.0636535 | val_loss: 0.0636391 | Time: 4049.72 ms [2020-12-04 04:29:11 main:581] : INFO : Epoch 139 | loss: 0.0636556 | val_loss: 0.0636363 | Time: 4047.74 ms [2020-12-04 04:29:16 main:581] : INFO : Epoch 140 | loss: 0.0636586 | val_loss: 0.0636495 | Time: 4059.61 ms [2020-12-04 04:29:20 main:581] : INFO : Epoch 141 | loss: 0.0636531 | val_loss: 0.0636473 | Time: 4057.44 ms [2020-12-04 04:29:24 main:581] : INFO : Epoch 142 | loss: 0.0636556 | val_loss: 0.063652 | Time: 4061.96 ms [2020-12-04 04:29:28 main:581] : INFO : Epoch 143 | loss: 0.0636557 | val_loss: 0.0636445 | Time: 4060.55 ms [2020-12-04 04:29:32 main:581] : INFO : Epoch 144 | loss: 0.0636512 | val_loss: 0.0636374 | Time: 4065.12 ms [2020-12-04 04:29:36 main:581] : INFO : Epoch 145 | loss: 0.0636527 | val_loss: 0.0636396 | Time: 4056.07 ms [2020-12-04 04:29:40 main:581] : INFO : Epoch 146 | loss: 0.0636539 | val_loss: 0.0636408 | Time: 4057.78 ms [2020-12-04 04:29:44 main:581] : INFO : Epoch 147 | loss: 0.0636558 | val_loss: 0.063651 | Time: 4052.47 ms [2020-12-04 04:29:48 main:581] : INFO : Epoch 148 | loss: 0.0636624 | val_loss: 0.0636491 | Time: 4058.22 ms [2020-12-04 04:29:52 main:581] : INFO : Epoch 149 | loss: 0.063664 | val_loss: 0.0636498 | Time: 4057.04 ms [2020-12-04 04:29:56 main:581] : INFO : Epoch 150 | loss: 0.0636659 | val_loss: 0.0636502 | Time: 4052.41 ms [2020-12-04 04:30:00 main:581] : INFO : Epoch 151 | loss: 0.063665 | val_loss: 0.0636541 | Time: 4052.11 ms [2020-12-04 04:30:04 main:581] : INFO : Epoch 152 | loss: 0.0636647 | val_loss: 0.0636521 | Time: 4059.36 ms [2020-12-04 04:30:08 main:581] : INFO : Epoch 153 | loss: 0.0636649 | val_loss: 0.0636491 | Time: 4056.98 ms [2020-12-04 04:30:12 main:581] : INFO : Epoch 154 | loss: 0.0636655 | val_loss: 0.0636477 | Time: 4056.24 ms [2020-12-04 04:30:16 main:581] : INFO : Epoch 155 | loss: 0.0636575 | val_loss: 0.0636459 | Time: 4057.27 ms [2020-12-04 04:30:20 main:581] : INFO : Epoch 156 | loss: 0.0636609 | val_loss: 0.0636323 | Time: 4051.62 ms [2020-12-04 04:30:25 main:581] : INFO : Epoch 157 | loss: 0.0636625 | val_loss: 0.0636421 | Time: 4053.6 ms [2020-12-04 04:30:29 main:581] : INFO : Epoch 158 | loss: 0.0636557 | val_loss: 0.063638 | Time: 4056.76 ms [2020-12-04 04:30:33 main:581] : INFO : Epoch 159 | loss: 0.0636552 | val_loss: 0.0636339 | Time: 4062.47 ms [2020-12-04 04:30:37 main:581] : INFO : Epoch 160 | loss: 0.0636587 | val_loss: 0.0636358 | Time: 4066.25 ms [2020-12-04 04:30:41 main:581] : INFO : Epoch 161 | loss: 0.0636562 | val_loss: 0.0636482 | Time: 4066.24 ms [2020-12-04 04:30:45 main:581] : INFO : Epoch 162 | loss: 0.0636596 | val_loss: 0.063611 | Time: 4064.33 ms [2020-12-04 04:30:49 main:581] : INFO : Epoch 163 | loss: 0.0636456 | val_loss: 0.0636087 | Time: 4064.53 ms [2020-12-04 04:30:53 main:581] : INFO : Epoch 164 | loss: 0.0636218 | val_loss: 0.0635992 | Time: 4051.51 ms [2020-12-04 04:30:57 main:581] : INFO : Epoch 165 | loss: 0.0636169 | val_loss: 0.0635984 | Time: 4065.28 ms [2020-12-04 04:31:01 main:581] : INFO : Epoch 166 | loss: 0.0636154 | val_loss: 0.063592 | Time: 4061.07 ms [2020-12-04 04:31:05 main:581] : INFO : Epoch 167 | loss: 0.0636138 | val_loss: 0.0635992 | Time: 4060.86 ms [2020-12-04 04:31:09 main:581] : INFO : Epoch 168 | loss: 0.0636149 | val_loss: 0.0635873 | Time: 4059.28 ms [2020-12-04 04:31:13 main:581] : INFO : Epoch 169 | loss: 0.0636136 | val_loss: 0.0635921 | Time: 4065.72 ms [2020-12-04 04:31:17 main:581] : INFO : Epoch 170 | loss: 0.0636137 | val_loss: 0.0635943 | Time: 4064.72 ms [2020-12-04 04:31:21 main:581] : INFO : Epoch 171 | loss: 0.0636128 | val_loss: 0.0635978 | Time: 4063.26 ms [2020-12-04 04:31:25 main:581] : INFO : Epoch 172 | loss: 0.0636136 | val_loss: 0.0635937 | Time: 4063.04 ms [2020-12-04 04:31:30 main:581] : INFO : Epoch 173 | loss: 0.0636123 | val_loss: 0.0635939 | Time: 4061.16 ms [2020-12-04 04:31:34 main:581] : INFO : Epoch 174 | loss: 0.0636108 | val_loss: 0.0635931 | Time: 4068.37 ms [2020-12-04 04:31:38 main:581] : INFO : Epoch 175 | loss: 0.0636116 | val_loss: 0.0635965 | Time: 4065.1 ms [2020-12-04 04:31:42 main:581] : INFO : Epoch 176 | loss: 0.0636125 | val_loss: 0.0635941 | Time: 4070.5 ms [2020-12-04 04:31:46 main:581] : INFO : Epoch 177 | loss: 0.0636121 | val_loss: 0.063595 | Time: 4061.64 ms [2020-12-04 04:31:50 main:581] : INFO : Epoch 178 | loss: 0.0636119 | val_loss: 0.0635962 | Time: 4055.02 ms [2020-12-04 04:31:54 main:581] : INFO : Epoch 179 | loss: 0.0636141 | val_loss: 0.0636 | Time: 4069.92 ms [2020-12-04 04:31:58 main:581] : INFO : Epoch 180 | loss: 0.0636145 | val_loss: 0.0636004 | Time: 4069.9 ms [2020-12-04 04:32:02 main:581] : INFO : Epoch 181 | loss: 0.0636132 | val_loss: 0.063593 | Time: 4066.89 ms [2020-12-04 04:32:06 main:581] : INFO : Epoch 182 | loss: 0.0636113 | val_loss: 0.0635928 | Time: 4067.27 ms [2020-12-04 04:32:10 main:581] : INFO : Epoch 183 | loss: 0.0636137 | val_loss: 0.0636013 | Time: 4063.09 ms [2020-12-04 04:32:14 main:581] : INFO : Epoch 184 | loss: 0.0636139 | val_loss: 0.0635991 | Time: 4054.77 ms [2020-12-04 04:32:18 main:581] : INFO : Epoch 185 | loss: 0.0636122 | val_loss: 0.063591 | Time: 4054.72 ms [2020-12-04 04:32:22 main:581] : INFO : Epoch 186 | loss: 0.0636126 | val_loss: 0.063596 | Time: 4065.97 ms [2020-12-04 04:32:26 main:581] : INFO : Epoch 187 | loss: 0.0636149 | val_loss: 0.0635976 | Time: 4061.08 ms [2020-12-04 04:32:30 main:581] : INFO : Epoch 188 | loss: 0.0636143 | val_loss: 0.0636021 | Time: 4058.56 ms [2020-12-04 04:32:35 main:581] : INFO : Epoch 189 | loss: 0.0636138 | val_loss: 0.0636016 | Time: 4056.86 ms [2020-12-04 04:32:39 main:581] : INFO : Epoch 190 | loss: 0.0636129 | val_loss: 0.0636047 | Time: 4058.14 ms [2020-12-04 04:32:43 main:581] : INFO : Epoch 191 | loss: 0.063612 | val_loss: 0.0635959 | Time: 4060.86 ms [2020-12-04 04:32:47 main:581] : INFO : Epoch 192 | loss: 0.0636118 | val_loss: 0.0635999 | Time: 4056.81 ms [2020-12-04 04:32:47 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0635999 [2020-12-04 04:32:47 main:610] : INFO : Saving end state to config to file [2020-12-04 04:32:47 main:615] : INFO : Success, exiting.. 04:32:47 (1484228): 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)