Task 3073972
| Name | rand_automata_0082-1606118020-23562-83_0 |
| Workunit | 1402392 |
| Created | 26 Nov 2020, 18:40:08 UTC |
| Sent | 26 Nov 2020, 18:49:20 UTC |
| Report deadline | 3 Dec 2020, 18:49:20 UTC |
| Received | 26 Nov 2020, 18:59:50 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 4754 |
| Run time | 9 min 50 sec |
| CPU time | 9 min 46 sec |
| Validate state | Valid |
| Credit | 959.40 |
| Device peak FLOPS | 3,339.24 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 | 9.98 GB |
| Peak disk usage | 2.98 GB |
Stderr output
<core_client_version>7.14.2</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) [2020-11-26 13:49:50 main:442] : INFO : Set logging level to 1 [2020-11-26 13:49:50 main:448] : INFO : Running in BOINC Client mode [2020-11-26 13:49:50 main:451] : INFO : Resolving all filenames [2020-11-26 13:49:50 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 (exists = 1) [2020-11-26 13:49:50 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1606118020-23562-83_0_r1144540794_1 (exists = 0) [2020-11-26 13:49:50 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1606118020-23562-83_0_r1144540794_0 (exists = 0) [2020-11-26 13:49:50 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1606118020-23562-83 (exists = 1) [2020-11-26 13:49:50 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-26 13:49:50 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 [2020-11-26 13:49:50 main:481] : INFO : Configuration: [2020-11-26 13:49:50 main:482] : INFO : Model type: LSTM [2020-11-26 13:49:50 main:483] : INFO : Validation Loss Threshold: 0.0001 [2020-11-26 13:49:50 main:484] : INFO : Max Epochs: 192 [2020-11-26 13:49:50 main:485] : INFO : Batch Size: 32 [2020-11-26 13:49:50 main:486] : INFO : Learning Rate: 0.001 [2020-11-26 13:49:50 main:487] : INFO : Patience: 10 [2020-11-26 13:49:50 main:488] : INFO : Hidden Width: 64 [2020-11-26 13:49:50 main:489] : INFO : # Recurrent Layers: 4 [2020-11-26 13:49:50 main:490] : INFO : # Backend Layers: 2 [2020-11-26 13:49:50 main:491] : INFO : # Threads: 1 [2020-11-26 13:49:50 main:493] : INFO : Preparing Dataset [2020-11-26 13:49:50 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 [2020-11-26 13:49:50 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 [2020-11-26 13:49:52 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-26 13:49:52 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 [2020-11-26 13:49:52 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 [2020-11-26 13:49:52 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-26 13:49:52 main:501] : INFO : Creating Model [2020-11-26 13:49:52 main:514] : INFO : Preparing config file [2020-11-26 13:49:52 main:526] : INFO : Creating new config file [2020-11-26 13:49:52 main:545] : INFO : This is a continuation WU, loading previous network [2020-11-26 13:49:52 main:566] : INFO : Loading DataLoader into Memory [2020-11-26 13:49:52 main:569] : INFO : Starting Training [2020-11-26 13:49:57 main:581] : INFO : Epoch 1 | loss: 0.0612984 | val_loss: 0.0612827 | Time: 4486.07 ms [2020-11-26 13:50:00 main:581] : INFO : Epoch 2 | loss: 0.0613276 | val_loss: 0.0613612 | Time: 3004.64 ms [2020-11-26 13:50:03 main:581] : INFO : Epoch 3 | loss: 0.0614316 | val_loss: 0.0614117 | Time: 2988.26 ms [2020-11-26 13:50:06 main:581] : INFO : Epoch 4 | loss: 0.0614781 | val_loss: 0.0615208 | Time: 2958.55 ms [2020-11-26 13:50:09 main:581] : INFO : Epoch 5 | loss: 0.0614849 | val_loss: 0.0614794 | Time: 3061.82 ms [2020-11-26 13:50:12 main:581] : INFO : Epoch 6 | loss: 0.0614702 | val_loss: 0.0613543 | Time: 3005.26 ms [2020-11-26 13:50:15 main:581] : INFO : Epoch 7 | loss: 0.0613444 | val_loss: 0.0613197 | Time: 3058.36 ms [2020-11-26 13:50:18 main:581] : INFO : Epoch 8 | loss: 0.0613195 | val_loss: 0.0613171 | Time: 3002.97 ms [2020-11-26 13:50:21 main:581] : INFO : Epoch 9 | loss: 0.0613151 | val_loss: 0.0613422 | Time: 3098.87 ms [2020-11-26 13:50:24 main:581] : INFO : Epoch 10 | loss: 0.0613651 | val_loss: 0.0613449 | Time: 3027.67 ms [2020-11-26 13:50:27 main:581] : INFO : Epoch 11 | loss: 0.061363 | val_loss: 0.061347 | Time: 3063.22 ms [2020-11-26 13:50:30 main:581] : INFO : Epoch 12 | loss: 0.0613647 | val_loss: 0.0613456 | Time: 2983.13 ms [2020-11-26 13:50:33 main:581] : INFO : Epoch 13 | loss: 0.0613684 | val_loss: 0.0613537 | Time: 3018.67 ms [2020-11-26 13:50:36 main:581] : INFO : Epoch 14 | loss: 0.0613698 | val_loss: 0.0613594 | Time: 3034.58 ms [2020-11-26 13:50:39 main:581] : INFO : Epoch 15 | loss: 0.0613696 | val_loss: 0.0613639 | Time: 3111.23 ms [2020-11-26 13:50:42 main:581] : INFO : Epoch 16 | loss: 0.0612603 | val_loss: 0.0612598 | Time: 3100.28 ms [2020-11-26 13:50:45 main:581] : INFO : Epoch 17 | loss: 0.0612252 | val_loss: 0.0611638 | Time: 2936.41 ms [2020-11-26 13:50:48 main:581] : INFO : Epoch 18 | loss: 0.0611772 | val_loss: 0.0611621 | Time: 2938.1 ms [2020-11-26 13:50:51 main:581] : INFO : Epoch 19 | loss: 0.0611772 | val_loss: 0.0611575 | Time: 3007.74 ms [2020-11-26 13:50:54 main:581] : INFO : Epoch 20 | loss: 0.0611774 | val_loss: 0.0611646 | Time: 2948.98 ms [2020-11-26 13:50:57 main:581] : INFO : Epoch 21 | loss: 0.0611768 | val_loss: 0.0611647 | Time: 3037.17 ms [2020-11-26 13:51:00 main:581] : INFO : Epoch 22 | loss: 0.061178 | val_loss: 0.0611559 | Time: 2927.86 ms [2020-11-26 13:51:03 main:581] : INFO : Epoch 23 | loss: 0.0611766 | val_loss: 0.0611612 | Time: 2969.12 ms [2020-11-26 13:51:06 main:581] : INFO : Epoch 24 | loss: 0.0611788 | val_loss: 0.0611612 | Time: 3016.5 ms [2020-11-26 13:51:09 main:581] : INFO : Epoch 25 | loss: 0.0611804 | val_loss: 0.0611615 | Time: 2978.67 ms [2020-11-26 13:51:12 main:581] : INFO : Epoch 26 | loss: 0.0611782 | val_loss: 0.0611598 | Time: 3053.63 ms [2020-11-26 13:51:15 main:581] : INFO : Epoch 27 | loss: 0.0611751 | val_loss: 0.0611574 | Time: 3007.06 ms [2020-11-26 13:51:18 main:581] : INFO : Epoch 28 | loss: 0.0611769 | val_loss: 0.0611492 | Time: 3030.88 ms [2020-11-26 13:51:21 main:581] : INFO : Epoch 29 | loss: 0.0611729 | val_loss: 0.0611524 | Time: 3044.95 ms [2020-11-26 13:51:24 main:581] : INFO : Epoch 30 | loss: 0.061172 | val_loss: 0.0611586 | Time: 2995.64 ms [2020-11-26 13:51:27 main:581] : INFO : Epoch 31 | loss: 0.0611705 | val_loss: 0.0611512 | Time: 3072.18 ms [2020-11-26 13:51:31 main:581] : INFO : Epoch 32 | loss: 0.0611724 | val_loss: 0.0611464 | Time: 3149.03 ms [2020-11-26 13:51:34 main:581] : INFO : Epoch 33 | loss: 0.0611716 | val_loss: 0.061147 | Time: 3051.41 ms [2020-11-26 13:51:37 main:581] : INFO : Epoch 34 | loss: 0.0611747 | val_loss: 0.0611409 | Time: 3114.42 ms [2020-11-26 13:51:40 main:581] : INFO : Epoch 35 | loss: 0.0611732 | val_loss: 0.0611463 | Time: 3065.12 ms [2020-11-26 13:51:43 main:581] : INFO : Epoch 36 | loss: 0.061173 | val_loss: 0.0611495 | Time: 3034.75 ms [2020-11-26 13:51:46 main:581] : INFO : Epoch 37 | loss: 0.0611735 | val_loss: 0.0611527 | Time: 3001.51 ms [2020-11-26 13:51:49 main:581] : INFO : Epoch 38 | loss: 0.0611726 | val_loss: 0.0611658 | Time: 3001.15 ms [2020-11-26 13:51:52 main:581] : INFO : Epoch 39 | loss: 0.0611722 | val_loss: 0.0611501 | Time: 2998.87 ms [2020-11-26 13:51:55 main:581] : INFO : Epoch 40 | loss: 0.061174 | val_loss: 0.0611538 | Time: 3001.72 ms [2020-11-26 13:51:58 main:581] : INFO : Epoch 41 | loss: 0.0611689 | val_loss: 0.0611511 | Time: 3004.35 ms [2020-11-26 13:52:01 main:581] : INFO : Epoch 42 | loss: 0.0611666 | val_loss: 0.0611424 | Time: 3034.39 ms [2020-11-26 13:52:04 main:581] : INFO : Epoch 43 | loss: 0.0611655 | val_loss: 0.0611391 | Time: 2965.44 ms [2020-11-26 13:52:07 main:581] : INFO : Epoch 44 | loss: 0.0611683 | val_loss: 0.0611497 | Time: 2984.41 ms [2020-11-26 13:52:10 main:581] : INFO : Epoch 45 | loss: 0.0611648 | val_loss: 0.0611429 | Time: 3168.07 ms [2020-11-26 13:52:13 main:581] : INFO : Epoch 46 | loss: 0.0611649 | val_loss: 0.0611456 | Time: 3063.22 ms [2020-11-26 13:52:16 main:581] : INFO : Epoch 47 | loss: 0.0611613 | val_loss: 0.0611347 | Time: 3018.11 ms [2020-11-26 13:52:19 main:581] : INFO : Epoch 48 | loss: 0.0611607 | val_loss: 0.061139 | Time: 2986.51 ms [2020-11-26 13:52:22 main:581] : INFO : Epoch 49 | loss: 0.0611615 | val_loss: 0.0611453 | Time: 2988.49 ms [2020-11-26 13:52:25 main:581] : INFO : Epoch 50 | loss: 0.061163 | val_loss: 0.0611321 | Time: 3075.13 ms [2020-11-26 13:52:28 main:581] : INFO : Epoch 51 | loss: 0.0611638 | val_loss: 0.0611594 | Time: 3115.99 ms [2020-11-26 13:52:31 main:581] : INFO : Epoch 52 | loss: 0.0611628 | val_loss: 0.0611636 | Time: 3111.74 ms [2020-11-26 13:52:34 main:581] : INFO : Epoch 53 | loss: 0.0611556 | val_loss: 0.0611582 | Time: 3022.25 ms [2020-11-26 13:52:38 main:581] : INFO : Epoch 54 | loss: 0.0611586 | val_loss: 0.0611669 | Time: 3169.56 ms [2020-11-26 13:52:41 main:581] : INFO : Epoch 55 | loss: 0.061163 | val_loss: 0.0611659 | Time: 2977.16 ms [2020-11-26 13:52:44 main:581] : INFO : Epoch 56 | loss: 0.0611623 | val_loss: 0.0611701 | Time: 3218.49 ms [2020-11-26 13:52:47 main:581] : INFO : Epoch 57 | loss: 0.0611649 | val_loss: 0.0611559 | Time: 3118.06 ms [2020-11-26 13:52:50 main:581] : INFO : Epoch 58 | loss: 0.0611617 | val_loss: 0.0611515 | Time: 3026.02 ms [2020-11-26 13:52:53 main:581] : INFO : Epoch 59 | loss: 0.0611683 | val_loss: 0.0611583 | Time: 3036.97 ms [2020-11-26 13:52:56 main:581] : INFO : Epoch 60 | loss: 0.0611742 | val_loss: 0.0611597 | Time: 3037.38 ms [2020-11-26 13:52:59 main:581] : INFO : Epoch 61 | loss: 0.0611739 | val_loss: 0.0611568 | Time: 3016.19 ms [2020-11-26 13:53:02 main:581] : INFO : Epoch 62 | loss: 0.061178 | val_loss: 0.0611678 | Time: 3089.97 ms [2020-11-26 13:53:05 main:581] : INFO : Epoch 63 | loss: 0.0611794 | val_loss: 0.061172 | Time: 2951.46 ms [2020-11-26 13:53:08 main:581] : INFO : Epoch 64 | loss: 0.0611808 | val_loss: 0.0611707 | Time: 2994.69 ms [2020-11-26 13:53:11 main:581] : INFO : Epoch 65 | loss: 0.0611798 | val_loss: 0.061166 | Time: 2990.05 ms [2020-11-26 13:53:14 main:581] : INFO : Epoch 66 | loss: 0.0611768 | val_loss: 0.0611679 | Time: 3073.21 ms [2020-11-26 13:53:17 main:581] : INFO : Epoch 67 | loss: 0.0611676 | val_loss: 0.0611708 | Time: 2955.57 ms [2020-11-26 13:53:20 main:581] : INFO : Epoch 68 | loss: 0.0611712 | val_loss: 0.0611699 | Time: 3052.1 ms [2020-11-26 13:53:23 main:581] : INFO : Epoch 69 | loss: 0.0611648 | val_loss: 0.0611702 | Time: 2965.81 ms [2020-11-26 13:53:26 main:581] : INFO : Epoch 70 | loss: 0.0611596 | val_loss: 0.0611605 | Time: 2952.96 ms [2020-11-26 13:53:29 main:581] : INFO : Epoch 71 | loss: 0.061159 | val_loss: 0.061172 | Time: 3078.39 ms [2020-11-26 13:53:32 main:581] : INFO : Epoch 72 | loss: 0.0611495 | val_loss: 0.0611446 | Time: 3113.75 ms [2020-11-26 13:53:35 main:581] : INFO : Epoch 73 | loss: 0.0611284 | val_loss: 0.0611596 | Time: 2971.02 ms [2020-11-26 13:53:38 main:581] : INFO : Epoch 74 | loss: 0.0611515 | val_loss: 0.0613704 | Time: 3078.68 ms [2020-11-26 13:53:41 main:581] : INFO : Epoch 75 | loss: 0.061366 | val_loss: 0.0613764 | Time: 3130.08 ms [2020-11-26 13:53:44 main:581] : INFO : Epoch 76 | loss: 0.0613612 | val_loss: 0.061358 | Time: 2970.14 ms [2020-11-26 13:53:47 main:581] : INFO : Epoch 77 | loss: 0.0613415 | val_loss: 0.0613575 | Time: 2930.74 ms [2020-11-26 13:53:50 main:581] : INFO : Epoch 78 | loss: 0.0613428 | val_loss: 0.0613585 | Time: 3033.75 ms [2020-11-26 13:53:53 main:581] : INFO : Epoch 79 | loss: 0.0613423 | val_loss: 0.0613599 | Time: 3157.23 ms [2020-11-26 13:53:56 main:581] : INFO : Epoch 80 | loss: 0.061351 | val_loss: 0.0613583 | Time: 2956.24 ms [2020-11-26 13:54:00 main:581] : INFO : Epoch 81 | loss: 0.0613847 | val_loss: 0.0613965 | Time: 3080.43 ms [2020-11-26 13:54:03 main:581] : INFO : Epoch 82 | loss: 0.0613914 | val_loss: 0.0614003 | Time: 3080.77 ms [2020-11-26 13:54:06 main:581] : INFO : Epoch 83 | loss: 0.0613831 | val_loss: 0.0614031 | Time: 3076.52 ms [2020-11-26 13:54:09 main:581] : INFO : Epoch 84 | loss: 0.0613864 | val_loss: 0.0614148 | Time: 3092.43 ms [2020-11-26 13:54:12 main:581] : INFO : Epoch 85 | loss: 0.0613896 | val_loss: 0.0613532 | Time: 3195.04 ms [2020-11-26 13:54:15 main:581] : INFO : Epoch 86 | loss: 0.0613259 | val_loss: 0.061293 | Time: 3074.24 ms [2020-11-26 13:54:18 main:581] : INFO : Epoch 87 | loss: 0.06129 | val_loss: 0.0612868 | Time: 3256.92 ms [2020-11-26 13:54:21 main:581] : INFO : Epoch 88 | loss: 0.0612809 | val_loss: 0.0612793 | Time: 3016.79 ms [2020-11-26 13:54:24 main:581] : INFO : Epoch 89 | loss: 0.0612755 | val_loss: 0.0612788 | Time: 3036.24 ms [2020-11-26 13:54:27 main:581] : INFO : Epoch 90 | loss: 0.0612712 | val_loss: 0.0612577 | Time: 3142.54 ms [2020-11-26 13:54:30 main:581] : INFO : Epoch 91 | loss: 0.0612453 | val_loss: 0.0612394 | Time: 2983.69 ms [2020-11-26 13:54:33 main:581] : INFO : Epoch 92 | loss: 0.0612401 | val_loss: 0.0612439 | Time: 2990.48 ms [2020-11-26 13:54:37 main:581] : INFO : Epoch 93 | loss: 0.0612355 | val_loss: 0.0612294 | Time: 3100.2 ms [2020-11-26 13:54:40 main:581] : INFO : Epoch 94 | loss: 0.0612369 | val_loss: 0.061236 | Time: 3060.96 ms [2020-11-26 13:54:43 main:581] : INFO : Epoch 95 | loss: 0.0612398 | val_loss: 0.0612299 | Time: 3165.26 ms [2020-11-26 13:54:46 main:581] : INFO : Epoch 96 | loss: 0.0612329 | val_loss: 0.0612514 | Time: 3127.44 ms [2020-11-26 13:54:49 main:581] : INFO : Epoch 97 | loss: 0.0612597 | val_loss: 0.0612554 | Time: 3058.05 ms [2020-11-26 13:54:52 main:581] : INFO : Epoch 98 | loss: 0.0612552 | val_loss: 0.0612616 | Time: 3096.11 ms [2020-11-26 13:54:55 main:581] : INFO : Epoch 99 | loss: 0.0612683 | val_loss: 0.0612829 | Time: 3145.25 ms [2020-11-26 13:54:58 main:581] : INFO : Epoch 100 | loss: 0.0612862 | val_loss: 0.0612803 | Time: 3272.46 ms [2020-11-26 13:55:01 main:581] : INFO : Epoch 101 | loss: 0.0612835 | val_loss: 0.0612736 | Time: 2988.07 ms [2020-11-26 13:55:05 main:581] : INFO : Epoch 102 | loss: 0.0612899 | val_loss: 0.0613005 | Time: 3053.28 ms [2020-11-26 13:55:08 main:581] : INFO : Epoch 103 | loss: 0.0612975 | val_loss: 0.0612993 | Time: 3213.11 ms [2020-11-26 13:55:11 main:581] : INFO : Epoch 104 | loss: 0.0612962 | val_loss: 0.0612899 | Time: 3159.43 ms [2020-11-26 13:55:14 main:581] : INFO : Epoch 105 | loss: 0.0613088 | val_loss: 0.0613335 | Time: 2965.28 ms [2020-11-26 13:55:17 main:581] : INFO : Epoch 106 | loss: 0.0613435 | val_loss: 0.0613511 | Time: 3034.23 ms [2020-11-26 13:55:20 main:581] : INFO : Epoch 107 | loss: 0.0613405 | val_loss: 0.0613529 | Time: 3137.33 ms [2020-11-26 13:55:23 main:581] : INFO : Epoch 108 | loss: 0.0613437 | val_loss: 0.0613618 | Time: 3046.58 ms [2020-11-26 13:55:26 main:581] : INFO : Epoch 109 | loss: 0.0613358 | val_loss: 0.0613428 | Time: 3014.74 ms [2020-11-26 13:55:29 main:581] : INFO : Epoch 110 | loss: 0.061341 | val_loss: 0.0614618 | Time: 3067.98 ms [2020-11-26 13:55:32 main:581] : INFO : Epoch 111 | loss: 0.0614757 | val_loss: 0.0614587 | Time: 3076.74 ms [2020-11-26 13:55:35 main:581] : INFO : Epoch 112 | loss: 0.0614565 | val_loss: 0.0614295 | Time: 3000.73 ms [2020-11-26 13:55:38 main:581] : INFO : Epoch 113 | loss: 0.061443 | val_loss: 0.0614193 | Time: 2972.17 ms [2020-11-26 13:55:41 main:581] : INFO : Epoch 114 | loss: 0.0614326 | val_loss: 0.0614085 | Time: 3002.55 ms [2020-11-26 13:55:44 main:581] : INFO : Epoch 115 | loss: 0.0614242 | val_loss: 0.0614037 | Time: 3013.52 ms [2020-11-26 13:55:47 main:581] : INFO : Epoch 116 | loss: 0.0614171 | val_loss: 0.0614119 | Time: 2999.94 ms [2020-11-26 13:55:50 main:581] : INFO : Epoch 117 | loss: 0.0614147 | val_loss: 0.0614106 | Time: 3105.93 ms [2020-11-26 13:55:53 main:581] : INFO : Epoch 118 | loss: 0.0614189 | val_loss: 0.0613919 | Time: 2986.71 ms [2020-11-26 13:55:56 main:581] : INFO : Epoch 119 | loss: 0.061418 | val_loss: 0.0613952 | Time: 3002.58 ms [2020-11-26 13:55:59 main:581] : INFO : Epoch 120 | loss: 0.0614351 | val_loss: 0.0614356 | Time: 3019.33 ms [2020-11-26 13:56:02 main:581] : INFO : Epoch 121 | loss: 0.0614438 | val_loss: 0.0614197 | Time: 3001.69 ms [2020-11-26 13:56:05 main:581] : INFO : Epoch 122 | loss: 0.0616177 | val_loss: 0.0616504 | Time: 2938.13 ms [2020-11-26 13:56:08 main:581] : INFO : Epoch 123 | loss: 0.0616778 | val_loss: 0.0616978 | Time: 3006.95 ms [2020-11-26 13:56:11 main:581] : INFO : Epoch 124 | loss: 0.0617453 | val_loss: 0.0617612 | Time: 2961.52 ms [2020-11-26 13:56:14 main:581] : INFO : Epoch 125 | loss: 0.0617715 | val_loss: 0.0617714 | Time: 3033.84 ms [2020-11-26 13:56:17 main:581] : INFO : Epoch 126 | loss: 0.0617811 | val_loss: 0.0617913 | Time: 3015.98 ms [2020-11-26 13:56:20 main:581] : INFO : Epoch 127 | loss: 0.0617794 | val_loss: 0.0617578 | Time: 3120.51 ms [2020-11-26 13:56:23 main:581] : INFO : Epoch 128 | loss: 0.0617656 | val_loss: 0.0617448 | Time: 3050.2 ms [2020-11-26 13:56:27 main:581] : INFO : Epoch 129 | loss: 0.0617607 | val_loss: 0.0617555 | Time: 3085.44 ms [2020-11-26 13:56:30 main:581] : INFO : Epoch 130 | loss: 0.0617506 | val_loss: 0.061747 | Time: 3077.42 ms [2020-11-26 13:56:33 main:581] : INFO : Epoch 131 | loss: 0.0617325 | val_loss: 0.0617225 | Time: 3007.71 ms [2020-11-26 13:56:36 main:581] : INFO : Epoch 132 | loss: 0.0617682 | val_loss: 0.0618568 | Time: 3123.83 ms [2020-11-26 13:56:39 main:581] : INFO : Epoch 133 | loss: 0.0618622 | val_loss: 0.0618658 | Time: 3011.58 ms [2020-11-26 13:56:42 main:581] : INFO : Epoch 134 | loss: 0.0618156 | val_loss: 0.0616745 | Time: 3006.98 ms [2020-11-26 13:56:45 main:581] : INFO : Epoch 135 | loss: 0.0616342 | val_loss: 0.0616338 | Time: 2924.35 ms [2020-11-26 13:56:48 main:581] : INFO : Epoch 136 | loss: 0.0616158 | val_loss: 0.0616437 | Time: 2957.01 ms [2020-11-26 13:56:51 main:581] : INFO : Epoch 137 | loss: 0.0616343 | val_loss: 0.0616782 | Time: 3012.55 ms [2020-11-26 13:56:54 main:581] : INFO : Epoch 138 | loss: 0.061689 | val_loss: 0.0617387 | Time: 3025.36 ms [2020-11-26 13:56:57 main:581] : INFO : Epoch 139 | loss: 0.0616894 | val_loss: 0.0616826 | Time: 3301.06 ms [2020-11-26 13:57:00 main:581] : INFO : Epoch 140 | loss: 0.0616693 | val_loss: 0.0616662 | Time: 2958.57 ms [2020-11-26 13:57:03 main:581] : INFO : Epoch 141 | loss: 0.0616721 | val_loss: 0.0616505 | Time: 3067.98 ms [2020-11-26 13:57:06 main:581] : INFO : Epoch 142 | loss: 0.061642 | val_loss: 0.0615996 | Time: 3202.26 ms [2020-11-26 13:57:09 main:581] : INFO : Epoch 143 | loss: 0.0616047 | val_loss: 0.061593 | Time: 2946.56 ms [2020-11-26 13:57:12 main:581] : INFO : Epoch 144 | loss: 0.0616122 | val_loss: 0.0616145 | Time: 2924 ms [2020-11-26 13:57:15 main:581] : INFO : Epoch 145 | loss: 0.0616143 | val_loss: 0.061603 | Time: 3040.05 ms [2020-11-26 13:57:18 main:581] : INFO : Epoch 146 | loss: 0.0616097 | val_loss: 0.0615945 | Time: 3141.39 ms [2020-11-26 13:57:21 main:581] : INFO : Epoch 147 | loss: 0.0616142 | val_loss: 0.0616141 | Time: 3076.27 ms [2020-11-26 13:57:24 main:581] : INFO : Epoch 148 | loss: 0.0617204 | val_loss: 0.061806 | Time: 3001.69 ms [2020-11-26 13:57:27 main:581] : INFO : Epoch 149 | loss: 0.0617942 | val_loss: 0.0618027 | Time: 2976.8 ms [2020-11-26 13:57:30 main:581] : INFO : Epoch 150 | loss: 0.0617941 | val_loss: 0.0617976 | Time: 2963.04 ms [2020-11-26 13:57:33 main:581] : INFO : Epoch 151 | loss: 0.0617887 | val_loss: 0.0617772 | Time: 2985.62 ms [2020-11-26 13:57:36 main:581] : INFO : Epoch 152 | loss: 0.0617817 | val_loss: 0.0617762 | Time: 3113.32 ms [2020-11-26 13:57:39 main:581] : INFO : Epoch 153 | loss: 0.0617775 | val_loss: 0.0617967 | Time: 2976.96 ms [2020-11-26 13:57:42 main:581] : INFO : Epoch 154 | loss: 0.0617699 | val_loss: 0.0617499 | Time: 3003.99 ms [2020-11-26 13:57:45 main:581] : INFO : Epoch 155 | loss: 0.0617663 | val_loss: 0.0617837 | Time: 3059.38 ms [2020-11-26 13:57:48 main:581] : INFO : Epoch 156 | loss: 0.0617708 | val_loss: 0.0617528 | Time: 3001.45 ms [2020-11-26 13:57:52 main:581] : INFO : Epoch 157 | loss: 0.0617128 | val_loss: 0.0617408 | Time: 3065.1 ms [2020-11-26 13:57:54 main:581] : INFO : Epoch 158 | loss: 0.0617069 | val_loss: 0.0617358 | Time: 2957.59 ms [2020-11-26 13:57:58 main:581] : INFO : Epoch 159 | loss: 0.0617046 | val_loss: 0.0617112 | Time: 3038.37 ms [2020-11-26 13:58:01 main:581] : INFO : Epoch 160 | loss: 0.0617036 | val_loss: 0.0617205 | Time: 2991.19 ms [2020-11-26 13:58:03 main:581] : INFO : Epoch 161 | loss: 0.0617075 | val_loss: 0.0617291 | Time: 2976.47 ms [2020-11-26 13:58:06 main:581] : INFO : Epoch 162 | loss: 0.0617089 | val_loss: 0.0617414 | Time: 3006.18 ms [2020-11-26 13:58:09 main:581] : INFO : Epoch 163 | loss: 0.0617118 | val_loss: 0.0617249 | Time: 2938.65 ms [2020-11-26 13:58:12 main:581] : INFO : Epoch 164 | loss: 0.0617099 | val_loss: 0.061738 | Time: 2949.26 ms [2020-11-26 13:58:15 main:581] : INFO : Epoch 165 | loss: 0.0617357 | val_loss: 0.0617582 | Time: 2986.13 ms [2020-11-26 13:58:18 main:581] : INFO : Epoch 166 | loss: 0.0617354 | val_loss: 0.0617307 | Time: 3055.76 ms [2020-11-26 13:58:21 main:581] : INFO : Epoch 167 | loss: 0.0617166 | val_loss: 0.0617006 | Time: 2977.51 ms [2020-11-26 13:58:24 main:581] : INFO : Epoch 168 | loss: 0.0616947 | val_loss: 0.0616962 | Time: 3012.75 ms [2020-11-26 13:58:27 main:581] : INFO : Epoch 169 | loss: 0.061691 | val_loss: 0.061701 | Time: 3046.07 ms [2020-11-26 13:58:30 main:581] : INFO : Epoch 170 | loss: 0.0616906 | val_loss: 0.0616932 | Time: 2970.82 ms [2020-11-26 13:58:33 main:581] : INFO : Epoch 171 | loss: 0.0616929 | val_loss: 0.0617025 | Time: 2998.59 ms [2020-11-26 13:58:36 main:581] : INFO : Epoch 172 | loss: 0.0616921 | val_loss: 0.0616989 | Time: 2963.13 ms [2020-11-26 13:58:39 main:581] : INFO : Epoch 173 | loss: 0.0616965 | val_loss: 0.0617043 | Time: 2938.82 ms [2020-11-26 13:58:42 main:581] : INFO : Epoch 174 | loss: 0.061699 | val_loss: 0.0617037 | Time: 2926.42 ms [2020-11-26 13:58:45 main:581] : INFO : Epoch 175 | loss: 0.0617333 | val_loss: 0.061762 | Time: 3060.95 ms [2020-11-26 13:58:48 main:581] : INFO : Epoch 176 | loss: 0.0617904 | val_loss: 0.0617755 | Time: 3021.63 ms [2020-11-26 13:58:51 main:581] : INFO : Epoch 177 | loss: 0.0617894 | val_loss: 0.061773 | Time: 3064.44 ms [2020-11-26 13:58:54 main:581] : INFO : Epoch 178 | loss: 0.0617867 | val_loss: 0.0617637 | Time: 3038.41 ms [2020-11-26 13:58:57 main:581] : INFO : Epoch 179 | loss: 0.0617526 | val_loss: 0.061721 | Time: 2945.39 ms [2020-11-26 13:59:01 main:581] : INFO : Epoch 180 | loss: 0.0617264 | val_loss: 0.0616814 | Time: 3118.09 ms [2020-11-26 13:59:04 main:581] : INFO : Epoch 181 | loss: 0.0617179 | val_loss: 0.0616781 | Time: 3037.35 ms [2020-11-26 13:59:07 main:581] : INFO : Epoch 182 | loss: 0.06171 | val_loss: 0.0616684 | Time: 3017.42 ms [2020-11-26 13:59:10 main:581] : INFO : Epoch 183 | loss: 0.0617029 | val_loss: 0.0616878 | Time: 2985.35 ms [2020-11-26 13:59:13 main:581] : INFO : Epoch 184 | loss: 0.0618189 | val_loss: 0.0618014 | Time: 2955.01 ms [2020-11-26 13:59:16 main:581] : INFO : Epoch 185 | loss: 0.0618269 | val_loss: 0.0617918 | Time: 3024.7 ms [2020-11-26 13:59:19 main:581] : INFO : Epoch 186 | loss: 0.0618163 | val_loss: 0.0617922 | Time: 3181.51 ms [2020-11-26 13:59:22 main:581] : INFO : Epoch 187 | loss: 0.0618129 | val_loss: 0.0617778 | Time: 3006.41 ms [2020-11-26 13:59:25 main:581] : INFO : Epoch 188 | loss: 0.0618082 | val_loss: 0.0617697 | Time: 3058.06 ms [2020-11-26 13:59:28 main:581] : INFO : Epoch 189 | loss: 0.0618053 | val_loss: 0.0617849 | Time: 3016.95 ms [2020-11-26 13:59:31 main:581] : INFO : Epoch 190 | loss: 0.0618195 | val_loss: 0.0617857 | Time: 2995.48 ms [2020-11-26 13:59:34 main:581] : INFO : Epoch 191 | loss: 0.0618131 | val_loss: 0.0617761 | Time: 3133.03 ms [2020-11-26 13:59:37 main:581] : INFO : Epoch 192 | loss: 0.0618125 | val_loss: 0.0617766 | Time: 3022.66 ms [2020-11-26 13:59:37 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0617766 [2020-11-26 13:59:37 main:610] : INFO : Saving end state to config to file [2020-11-26 13:59:37 main:615] : INFO : Success, exiting.. 13:59:37 (15015): 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)