Task 3073881
| Name | rand_automata_0025-1606117988-22454-85_0 |
| Workunit | 1402303 |
| Created | 26 Nov 2020, 18:29:22 UTC |
| Sent | 26 Nov 2020, 18:39:01 UTC |
| Report deadline | 3 Dec 2020, 18:39:01 UTC |
| Received | 26 Nov 2020, 18:49:20 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 4754 |
| Run time | 9 min 51 sec |
| CPU time | 9 min 47 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 | 2.18 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 13:39:18 main:442] : INFO : Set logging level to 1 [2020-11-26 13:39:18 main:448] : INFO : Running in BOINC Client mode [2020-11-26 13:39:18 main:451] : INFO : Resolving all filenames [2020-11-26 13:39:18 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 (exists = 1) [2020-11-26 13:39:18 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1606117988-22454-85_0_r269644502_1 (exists = 0) [2020-11-26 13:39:18 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1606117988-22454-85_0_r269644502_0 (exists = 0) [2020-11-26 13:39:18 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1606117988-22454-85 (exists = 1) [2020-11-26 13:39:18 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-26 13:39:18 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 [2020-11-26 13:39:18 main:481] : INFO : Configuration: [2020-11-26 13:39:18 main:482] : INFO : Model type: LSTM [2020-11-26 13:39:18 main:483] : INFO : Validation Loss Threshold: 0.0001 [2020-11-26 13:39:18 main:484] : INFO : Max Epochs: 192 [2020-11-26 13:39:18 main:485] : INFO : Batch Size: 32 [2020-11-26 13:39:18 main:486] : INFO : Learning Rate: 0.001 [2020-11-26 13:39:18 main:487] : INFO : Patience: 10 [2020-11-26 13:39:18 main:488] : INFO : Hidden Width: 64 [2020-11-26 13:39:18 main:489] : INFO : # Recurrent Layers: 4 [2020-11-26 13:39:18 main:490] : INFO : # Backend Layers: 2 [2020-11-26 13:39:18 main:491] : INFO : # Threads: 1 [2020-11-26 13:39:18 main:493] : INFO : Preparing Dataset [2020-11-26 13:39:18 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 into memory [2020-11-26 13:39:18 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 into memory [2020-11-26 13:39:21 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-26 13:39:21 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 into memory [2020-11-26 13:39:21 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 into memory [2020-11-26 13:39:21 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-26 13:39:21 main:501] : INFO : Creating Model [2020-11-26 13:39:21 main:514] : INFO : Preparing config file [2020-11-26 13:39:21 main:526] : INFO : Creating new config file [2020-11-26 13:39:21 main:545] : INFO : This is a continuation WU, loading previous network [2020-11-26 13:39:21 main:566] : INFO : Loading DataLoader into Memory [2020-11-26 13:39:21 main:569] : INFO : Starting Training [2020-11-26 13:39:25 main:581] : INFO : Epoch 1 | loss: 0.0435351 | val_loss: 0.0428422 | Time: 3664.78 ms [2020-11-26 13:39:28 main:581] : INFO : Epoch 2 | loss: 0.0417966 | val_loss: 0.0415031 | Time: 3025.21 ms [2020-11-26 13:39:31 main:581] : INFO : Epoch 3 | loss: 0.0412069 | val_loss: 0.0430929 | Time: 3067.34 ms [2020-11-26 13:39:34 main:581] : INFO : Epoch 4 | loss: 0.0430031 | val_loss: 0.043484 | Time: 3084.43 ms [2020-11-26 13:39:37 main:581] : INFO : Epoch 5 | loss: 0.0420264 | val_loss: 0.0420727 | Time: 3041.5 ms [2020-11-26 13:39:40 main:581] : INFO : Epoch 6 | loss: 0.0408258 | val_loss: 0.0423045 | Time: 2972.15 ms [2020-11-26 13:39:43 main:581] : INFO : Epoch 7 | loss: 0.0418938 | val_loss: 0.0421892 | Time: 3091.67 ms [2020-11-26 13:39:46 main:581] : INFO : Epoch 8 | loss: 0.0409831 | val_loss: 0.0418051 | Time: 3091.04 ms [2020-11-26 13:39:49 main:581] : INFO : Epoch 9 | loss: 0.0411542 | val_loss: 0.0417288 | Time: 3162.4 ms [2020-11-26 13:39:53 main:581] : INFO : Epoch 10 | loss: 0.0411618 | val_loss: 0.0413491 | Time: 3369.85 ms [2020-11-26 13:39:56 main:581] : INFO : Epoch 11 | loss: 0.0405405 | val_loss: 0.0407658 | Time: 3192.63 ms [2020-11-26 13:39:59 main:581] : INFO : Epoch 12 | loss: 0.0402849 | val_loss: 0.0405536 | Time: 3279.69 ms [2020-11-26 13:40:02 main:581] : INFO : Epoch 13 | loss: 0.0407352 | val_loss: 0.0422552 | Time: 2992.38 ms [2020-11-26 13:40:05 main:581] : INFO : Epoch 14 | loss: 0.0416205 | val_loss: 0.0415951 | Time: 3037.52 ms [2020-11-26 13:40:08 main:581] : INFO : Epoch 15 | loss: 0.0401628 | val_loss: 0.0402974 | Time: 3008.37 ms [2020-11-26 13:40:11 main:581] : INFO : Epoch 16 | loss: 0.0403595 | val_loss: 0.0412146 | Time: 3068.56 ms [2020-11-26 13:40:14 main:581] : INFO : Epoch 17 | loss: 0.0408372 | val_loss: 0.0410158 | Time: 3033.99 ms [2020-11-26 13:40:17 main:581] : INFO : Epoch 18 | loss: 0.0413537 | val_loss: 0.0429041 | Time: 3143.92 ms [2020-11-26 13:40:20 main:581] : INFO : Epoch 19 | loss: 0.0416697 | val_loss: 0.041926 | Time: 3004.65 ms [2020-11-26 13:40:23 main:581] : INFO : Epoch 20 | loss: 0.0412586 | val_loss: 0.0419038 | Time: 3041.28 ms [2020-11-26 13:40:26 main:581] : INFO : Epoch 21 | loss: 0.040893 | val_loss: 0.0413816 | Time: 3129.69 ms [2020-11-26 13:40:30 main:581] : INFO : Epoch 22 | loss: 0.0402476 | val_loss: 0.0422676 | Time: 3056.13 ms [2020-11-26 13:40:33 main:581] : INFO : Epoch 23 | loss: 0.0411059 | val_loss: 0.0424562 | Time: 3085.49 ms [2020-11-26 13:40:36 main:581] : INFO : Epoch 24 | loss: 0.0411738 | val_loss: 0.0416963 | Time: 2991.14 ms [2020-11-26 13:40:39 main:581] : INFO : Epoch 25 | loss: 0.0417128 | val_loss: 0.0421981 | Time: 3047.02 ms [2020-11-26 13:40:42 main:581] : INFO : Epoch 26 | loss: 0.0443355 | val_loss: 0.045762 | Time: 3069.29 ms [2020-11-26 13:40:45 main:581] : INFO : Epoch 27 | loss: 0.0452664 | val_loss: 0.0451971 | Time: 3028.07 ms [2020-11-26 13:40:48 main:581] : INFO : Epoch 28 | loss: 0.0463959 | val_loss: 0.0460508 | Time: 3013.12 ms [2020-11-26 13:40:51 main:581] : INFO : Epoch 29 | loss: 0.0455237 | val_loss: 0.0453809 | Time: 2973.41 ms [2020-11-26 13:40:54 main:581] : INFO : Epoch 30 | loss: 0.0447387 | val_loss: 0.0452363 | Time: 3019.71 ms [2020-11-26 13:40:57 main:581] : INFO : Epoch 31 | loss: 0.0462433 | val_loss: 0.0458819 | Time: 2978.58 ms [2020-11-26 13:41:00 main:581] : INFO : Epoch 32 | loss: 0.0455873 | val_loss: 0.0459736 | Time: 3053.22 ms [2020-11-26 13:41:03 main:581] : INFO : Epoch 33 | loss: 0.0454461 | val_loss: 0.045031 | Time: 2960.39 ms [2020-11-26 13:41:06 main:581] : INFO : Epoch 34 | loss: 0.0445435 | val_loss: 0.0443027 | Time: 3053.87 ms [2020-11-26 13:41:09 main:581] : INFO : Epoch 35 | loss: 0.0454393 | val_loss: 0.0463783 | Time: 3031.81 ms [2020-11-26 13:41:12 main:581] : INFO : Epoch 36 | loss: 0.0458772 | val_loss: 0.0457562 | Time: 3025.99 ms [2020-11-26 13:41:15 main:581] : INFO : Epoch 37 | loss: 0.0461135 | val_loss: 0.0468252 | Time: 2975.06 ms [2020-11-26 13:41:18 main:581] : INFO : Epoch 38 | loss: 0.0464723 | val_loss: 0.0460216 | Time: 3033.41 ms [2020-11-26 13:41:21 main:581] : INFO : Epoch 39 | loss: 0.0457009 | val_loss: 0.045622 | Time: 3141.85 ms [2020-11-26 13:41:24 main:581] : INFO : Epoch 40 | loss: 0.0453087 | val_loss: 0.0454036 | Time: 3028.85 ms [2020-11-26 13:41:27 main:581] : INFO : Epoch 41 | loss: 0.0449407 | val_loss: 0.0448837 | Time: 3087.64 ms [2020-11-26 13:41:30 main:581] : INFO : Epoch 42 | loss: 0.0444974 | val_loss: 0.0451783 | Time: 3278.69 ms [2020-11-26 13:41:33 main:581] : INFO : Epoch 43 | loss: 0.0447592 | val_loss: 0.0447911 | Time: 3050 ms [2020-11-26 13:41:37 main:581] : INFO : Epoch 44 | loss: 0.0439159 | val_loss: 0.0436698 | Time: 3198.14 ms [2020-11-26 13:41:40 main:581] : INFO : Epoch 45 | loss: 0.0428856 | val_loss: 0.043117 | Time: 3048.42 ms [2020-11-26 13:41:43 main:581] : INFO : Epoch 46 | loss: 0.0424098 | val_loss: 0.04266 | Time: 3094 ms [2020-11-26 13:41:46 main:581] : INFO : Epoch 47 | loss: 0.0435975 | val_loss: 0.0450961 | Time: 3052.78 ms [2020-11-26 13:41:49 main:581] : INFO : Epoch 48 | loss: 0.0450181 | val_loss: 0.0459361 | Time: 2985.26 ms [2020-11-26 13:41:52 main:581] : INFO : Epoch 49 | loss: 0.0462603 | val_loss: 0.048424 | Time: 2993.7 ms [2020-11-26 13:41:55 main:581] : INFO : Epoch 50 | loss: 0.0483869 | val_loss: 0.0496601 | Time: 3044.14 ms [2020-11-26 13:41:58 main:581] : INFO : Epoch 51 | loss: 0.0490286 | val_loss: 0.0490861 | Time: 3028.2 ms [2020-11-26 13:42:01 main:581] : INFO : Epoch 52 | loss: 0.048436 | val_loss: 0.0486272 | Time: 3170.44 ms [2020-11-26 13:42:04 main:581] : INFO : Epoch 53 | loss: 0.048709 | val_loss: 0.0499947 | Time: 3087 ms [2020-11-26 13:42:07 main:581] : INFO : Epoch 54 | loss: 0.0493431 | val_loss: 0.0496755 | Time: 3018.48 ms [2020-11-26 13:42:10 main:581] : INFO : Epoch 55 | loss: 0.048776 | val_loss: 0.0492883 | Time: 3079.18 ms [2020-11-26 13:42:13 main:581] : INFO : Epoch 56 | loss: 0.0487768 | val_loss: 0.0488265 | Time: 2973.9 ms [2020-11-26 13:42:16 main:581] : INFO : Epoch 57 | loss: 0.0483919 | val_loss: 0.048711 | Time: 3078.03 ms [2020-11-26 13:42:19 main:581] : INFO : Epoch 58 | loss: 0.0481798 | val_loss: 0.0491622 | Time: 3004.75 ms [2020-11-26 13:42:22 main:581] : INFO : Epoch 59 | loss: 0.0506263 | val_loss: 0.0508621 | Time: 3008.66 ms [2020-11-26 13:42:25 main:581] : INFO : Epoch 60 | loss: 0.0505189 | val_loss: 0.0503292 | Time: 3103.97 ms [2020-11-26 13:42:28 main:581] : INFO : Epoch 61 | loss: 0.0498507 | val_loss: 0.0495006 | Time: 3085.87 ms [2020-11-26 13:42:32 main:581] : INFO : Epoch 62 | loss: 0.0491038 | val_loss: 0.0490695 | Time: 3043.91 ms [2020-11-26 13:42:35 main:581] : INFO : Epoch 63 | loss: 0.0485145 | val_loss: 0.048604 | Time: 2997.82 ms [2020-11-26 13:42:38 main:581] : INFO : Epoch 64 | loss: 0.048752 | val_loss: 0.0489777 | Time: 3094.02 ms [2020-11-26 13:42:41 main:581] : INFO : Epoch 65 | loss: 0.0484181 | val_loss: 0.0487247 | Time: 3123.8 ms [2020-11-26 13:42:44 main:581] : INFO : Epoch 66 | loss: 0.0482252 | val_loss: 0.0482828 | Time: 2987.1 ms [2020-11-26 13:42:47 main:581] : INFO : Epoch 67 | loss: 0.0476615 | val_loss: 0.047604 | Time: 3083.73 ms [2020-11-26 13:42:50 main:581] : INFO : Epoch 68 | loss: 0.0474466 | val_loss: 0.0478631 | Time: 2996.76 ms [2020-11-26 13:42:53 main:581] : INFO : Epoch 69 | loss: 0.047298 | val_loss: 0.0473716 | Time: 3093.88 ms [2020-11-26 13:42:56 main:581] : INFO : Epoch 70 | loss: 0.0470611 | val_loss: 0.0474701 | Time: 3115.5 ms [2020-11-26 13:42:59 main:581] : INFO : Epoch 71 | loss: 0.0467725 | val_loss: 0.0468637 | Time: 3002.15 ms [2020-11-26 13:43:02 main:581] : INFO : Epoch 72 | loss: 0.0463628 | val_loss: 0.046676 | Time: 3017.25 ms [2020-11-26 13:43:05 main:581] : INFO : Epoch 73 | loss: 0.0460323 | val_loss: 0.0463543 | Time: 2977.44 ms [2020-11-26 13:43:08 main:581] : INFO : Epoch 74 | loss: 0.0463719 | val_loss: 0.0462914 | Time: 3048.56 ms [2020-11-26 13:43:11 main:581] : INFO : Epoch 75 | loss: 0.0458196 | val_loss: 0.0456195 | Time: 3042.1 ms [2020-11-26 13:43:14 main:581] : INFO : Epoch 76 | loss: 0.0454983 | val_loss: 0.0460623 | Time: 3070.69 ms [2020-11-26 13:43:17 main:581] : INFO : Epoch 77 | loss: 0.0459034 | val_loss: 0.0458107 | Time: 2978.1 ms [2020-11-26 13:43:20 main:581] : INFO : Epoch 78 | loss: 0.0460566 | val_loss: 0.0483362 | Time: 3070.66 ms [2020-11-26 13:43:23 main:581] : INFO : Epoch 79 | loss: 0.0484841 | val_loss: 0.0485073 | Time: 3027.08 ms [2020-11-26 13:43:26 main:581] : INFO : Epoch 80 | loss: 0.0483023 | val_loss: 0.0482147 | Time: 3011.88 ms [2020-11-26 13:43:29 main:581] : INFO : Epoch 81 | loss: 0.0480944 | val_loss: 0.0476528 | Time: 2990.81 ms [2020-11-26 13:43:32 main:581] : INFO : Epoch 82 | loss: 0.0472929 | val_loss: 0.0470356 | Time: 3129.19 ms [2020-11-26 13:43:35 main:581] : INFO : Epoch 83 | loss: 0.0470568 | val_loss: 0.0470804 | Time: 3061.77 ms [2020-11-26 13:43:39 main:581] : INFO : Epoch 84 | loss: 0.0470389 | val_loss: 0.0472518 | Time: 3081.25 ms [2020-11-26 13:43:42 main:581] : INFO : Epoch 85 | loss: 0.0466496 | val_loss: 0.0463735 | Time: 3073.96 ms [2020-11-26 13:43:45 main:581] : INFO : Epoch 86 | loss: 0.0460921 | val_loss: 0.045865 | Time: 3026.25 ms [2020-11-26 13:43:48 main:581] : INFO : Epoch 87 | loss: 0.045474 | val_loss: 0.0454493 | Time: 3034.27 ms [2020-11-26 13:43:51 main:581] : INFO : Epoch 88 | loss: 0.0455392 | val_loss: 0.0468423 | Time: 2956.34 ms [2020-11-26 13:43:54 main:581] : INFO : Epoch 89 | loss: 0.0464424 | val_loss: 0.0458923 | Time: 3013.37 ms [2020-11-26 13:43:57 main:581] : INFO : Epoch 90 | loss: 0.0453001 | val_loss: 0.0449784 | Time: 2976.04 ms [2020-11-26 13:44:00 main:581] : INFO : Epoch 91 | loss: 0.0445626 | val_loss: 0.0445049 | Time: 2978.64 ms [2020-11-26 13:44:03 main:581] : INFO : Epoch 92 | loss: 0.0440506 | val_loss: 0.0438845 | Time: 2966.78 ms [2020-11-26 13:44:06 main:581] : INFO : Epoch 93 | loss: 0.0432413 | val_loss: 0.0431034 | Time: 3092.73 ms [2020-11-26 13:44:09 main:581] : INFO : Epoch 94 | loss: 0.0431244 | val_loss: 0.0434292 | Time: 3011.53 ms [2020-11-26 13:44:12 main:581] : INFO : Epoch 95 | loss: 0.0429802 | val_loss: 0.043263 | Time: 2963.44 ms [2020-11-26 13:44:15 main:581] : INFO : Epoch 96 | loss: 0.0434238 | val_loss: 0.0435812 | Time: 2980.95 ms [2020-11-26 13:44:18 main:581] : INFO : Epoch 97 | loss: 0.044208 | val_loss: 0.045689 | Time: 3085.79 ms [2020-11-26 13:44:21 main:581] : INFO : Epoch 98 | loss: 0.0448057 | val_loss: 0.0445035 | Time: 3131.27 ms [2020-11-26 13:44:24 main:581] : INFO : Epoch 99 | loss: 0.0435369 | val_loss: 0.0432529 | Time: 2987.3 ms [2020-11-26 13:44:27 main:581] : INFO : Epoch 100 | loss: 0.0430582 | val_loss: 0.0432378 | Time: 3092.34 ms [2020-11-26 13:44:30 main:581] : INFO : Epoch 101 | loss: 0.0424019 | val_loss: 0.0424144 | Time: 2997.08 ms [2020-11-26 13:44:33 main:581] : INFO : Epoch 102 | loss: 0.0417292 | val_loss: 0.0415557 | Time: 2973.29 ms [2020-11-26 13:44:36 main:581] : INFO : Epoch 103 | loss: 0.0414015 | val_loss: 0.0420845 | Time: 3031.94 ms [2020-11-26 13:44:39 main:581] : INFO : Epoch 104 | loss: 0.0418243 | val_loss: 0.0425248 | Time: 3087.32 ms [2020-11-26 13:44:42 main:581] : INFO : Epoch 105 | loss: 0.0416907 | val_loss: 0.0414828 | Time: 2975.23 ms [2020-11-26 13:44:45 main:581] : INFO : Epoch 106 | loss: 0.0407344 | val_loss: 0.0408833 | Time: 3041.73 ms [2020-11-26 13:44:48 main:581] : INFO : Epoch 107 | loss: 0.0425377 | val_loss: 0.0432721 | Time: 3266.4 ms [2020-11-26 13:44:51 main:581] : INFO : Epoch 108 | loss: 0.0419857 | val_loss: 0.0423595 | Time: 3038.69 ms [2020-11-26 13:44:54 main:581] : INFO : Epoch 109 | loss: 0.0421537 | val_loss: 0.042566 | Time: 3011.83 ms [2020-11-26 13:44:57 main:581] : INFO : Epoch 110 | loss: 0.0418641 | val_loss: 0.0418731 | Time: 2973.08 ms [2020-11-26 13:45:00 main:581] : INFO : Epoch 111 | loss: 0.0415892 | val_loss: 0.0420442 | Time: 3010.47 ms [2020-11-26 13:45:03 main:581] : INFO : Epoch 112 | loss: 0.0414918 | val_loss: 0.0417976 | Time: 2984.53 ms [2020-11-26 13:45:06 main:581] : INFO : Epoch 113 | loss: 0.0409463 | val_loss: 0.0411771 | Time: 3057.33 ms [2020-11-26 13:45:09 main:581] : INFO : Epoch 114 | loss: 0.0401234 | val_loss: 0.0407225 | Time: 3090.84 ms [2020-11-26 13:45:12 main:581] : INFO : Epoch 115 | loss: 0.0405812 | val_loss: 0.0421693 | Time: 3006.4 ms [2020-11-26 13:45:15 main:581] : INFO : Epoch 116 | loss: 0.0440504 | val_loss: 0.0456526 | Time: 3021.58 ms [2020-11-26 13:45:19 main:581] : INFO : Epoch 117 | loss: 0.0451211 | val_loss: 0.0454796 | Time: 3053.47 ms [2020-11-26 13:45:22 main:581] : INFO : Epoch 118 | loss: 0.045183 | val_loss: 0.0450114 | Time: 3037.89 ms [2020-11-26 13:45:25 main:581] : INFO : Epoch 119 | loss: 0.0444036 | val_loss: 0.0443346 | Time: 3043.74 ms [2020-11-26 13:45:28 main:581] : INFO : Epoch 120 | loss: 0.0441599 | val_loss: 0.0446697 | Time: 3020.2 ms [2020-11-26 13:45:31 main:581] : INFO : Epoch 121 | loss: 0.0440676 | val_loss: 0.0442574 | Time: 2972.17 ms [2020-11-26 13:45:34 main:581] : INFO : Epoch 122 | loss: 0.0435766 | val_loss: 0.043801 | Time: 3087.31 ms [2020-11-26 13:45:37 main:581] : INFO : Epoch 123 | loss: 0.0436643 | val_loss: 0.0449523 | Time: 3076.41 ms [2020-11-26 13:45:40 main:581] : INFO : Epoch 124 | loss: 0.0441376 | val_loss: 0.0442989 | Time: 3000.93 ms [2020-11-26 13:45:43 main:581] : INFO : Epoch 125 | loss: 0.0439894 | val_loss: 0.0447293 | Time: 2998.35 ms [2020-11-26 13:45:46 main:581] : INFO : Epoch 126 | loss: 0.0441776 | val_loss: 0.0441477 | Time: 3002.67 ms [2020-11-26 13:45:49 main:581] : INFO : Epoch 127 | loss: 0.0434061 | val_loss: 0.0433536 | Time: 3199.2 ms [2020-11-26 13:45:52 main:581] : INFO : Epoch 128 | loss: 0.0427523 | val_loss: 0.0425514 | Time: 3108 ms [2020-11-26 13:45:55 main:581] : INFO : Epoch 129 | loss: 0.041858 | val_loss: 0.0429308 | Time: 3022.63 ms [2020-11-26 13:45:58 main:581] : INFO : Epoch 130 | loss: 0.0429111 | val_loss: 0.0436713 | Time: 3080.76 ms [2020-11-26 13:46:01 main:581] : INFO : Epoch 131 | loss: 0.0429005 | val_loss: 0.0444288 | Time: 3020.27 ms [2020-11-26 13:46:04 main:581] : INFO : Epoch 132 | loss: 0.0437401 | val_loss: 0.043975 | Time: 2999.67 ms [2020-11-26 13:46:07 main:581] : INFO : Epoch 133 | loss: 0.0432022 | val_loss: 0.0431934 | Time: 2986.23 ms [2020-11-26 13:46:10 main:581] : INFO : Epoch 134 | loss: 0.0428907 | val_loss: 0.0429336 | Time: 3016.76 ms [2020-11-26 13:46:13 main:581] : INFO : Epoch 135 | loss: 0.0422397 | val_loss: 0.0423613 | Time: 3112.08 ms [2020-11-26 13:46:16 main:581] : INFO : Epoch 136 | loss: 0.0417493 | val_loss: 0.0418982 | Time: 3012.21 ms [2020-11-26 13:46:19 main:581] : INFO : Epoch 137 | loss: 0.0421324 | val_loss: 0.0448556 | Time: 3005.87 ms [2020-11-26 13:46:22 main:581] : INFO : Epoch 138 | loss: 0.0439027 | val_loss: 0.0449951 | Time: 3013.18 ms [2020-11-26 13:46:25 main:581] : INFO : Epoch 139 | loss: 0.044271 | val_loss: 0.0452543 | Time: 2998.55 ms [2020-11-26 13:46:28 main:581] : INFO : Epoch 140 | loss: 0.0458511 | val_loss: 0.0462741 | Time: 3017.7 ms [2020-11-26 13:46:32 main:581] : INFO : Epoch 141 | loss: 0.0457595 | val_loss: 0.0460873 | Time: 3124.59 ms [2020-11-26 13:46:35 main:581] : INFO : Epoch 142 | loss: 0.0454405 | val_loss: 0.0456408 | Time: 3004.58 ms [2020-11-26 13:46:38 main:581] : INFO : Epoch 143 | loss: 0.0451211 | val_loss: 0.0449938 | Time: 3049.25 ms [2020-11-26 13:46:41 main:581] : INFO : Epoch 144 | loss: 0.0444185 | val_loss: 0.0445573 | Time: 3052.08 ms [2020-11-26 13:46:44 main:581] : INFO : Epoch 145 | loss: 0.0456501 | val_loss: 0.0461445 | Time: 3051.96 ms [2020-11-26 13:46:47 main:581] : INFO : Epoch 146 | loss: 0.0459258 | val_loss: 0.0459539 | Time: 3001.87 ms [2020-11-26 13:46:50 main:581] : INFO : Epoch 147 | loss: 0.0468428 | val_loss: 0.0498207 | Time: 3052.54 ms [2020-11-26 13:46:53 main:581] : INFO : Epoch 148 | loss: 0.0494976 | val_loss: 0.0494829 | Time: 3016.17 ms [2020-11-26 13:46:56 main:581] : INFO : Epoch 149 | loss: 0.0490025 | val_loss: 0.0490349 | Time: 3035.59 ms [2020-11-26 13:46:59 main:581] : INFO : Epoch 150 | loss: 0.0502612 | val_loss: 0.0504413 | Time: 2980.76 ms [2020-11-26 13:47:02 main:581] : INFO : Epoch 151 | loss: 0.0497262 | val_loss: 0.0502056 | Time: 3117.37 ms [2020-11-26 13:47:05 main:581] : INFO : Epoch 152 | loss: 0.0496151 | val_loss: 0.0497946 | Time: 2990.63 ms [2020-11-26 13:47:08 main:581] : INFO : Epoch 153 | loss: 0.0494536 | val_loss: 0.050175 | Time: 3013.38 ms [2020-11-26 13:47:11 main:581] : INFO : Epoch 154 | loss: 0.0496176 | val_loss: 0.0497054 | Time: 3059.23 ms [2020-11-26 13:47:14 main:581] : INFO : Epoch 155 | loss: 0.0488882 | val_loss: 0.0485252 | Time: 3207.84 ms [2020-11-26 13:47:17 main:581] : INFO : Epoch 156 | loss: 0.0481342 | val_loss: 0.0478843 | Time: 3096.29 ms [2020-11-26 13:47:20 main:581] : INFO : Epoch 157 | loss: 0.0487586 | val_loss: 0.0487297 | Time: 3023.39 ms [2020-11-26 13:47:23 main:581] : INFO : Epoch 158 | loss: 0.0486581 | val_loss: 0.048524 | Time: 2990.01 ms [2020-11-26 13:47:26 main:581] : INFO : Epoch 159 | loss: 0.0480132 | val_loss: 0.0475846 | Time: 2961.08 ms [2020-11-26 13:47:29 main:581] : INFO : Epoch 160 | loss: 0.0473055 | val_loss: 0.0468697 | Time: 3068.69 ms [2020-11-26 13:47:32 main:581] : INFO : Epoch 161 | loss: 0.0467148 | val_loss: 0.0466049 | Time: 3013.58 ms [2020-11-26 13:47:35 main:581] : INFO : Epoch 162 | loss: 0.0462337 | val_loss: 0.0460902 | Time: 3071.88 ms [2020-11-26 13:47:39 main:581] : INFO : Epoch 163 | loss: 0.0460265 | val_loss: 0.0458717 | Time: 3208.25 ms [2020-11-26 13:47:42 main:581] : INFO : Epoch 164 | loss: 0.0463526 | val_loss: 0.0465053 | Time: 3159.95 ms [2020-11-26 13:47:45 main:581] : INFO : Epoch 165 | loss: 0.0464754 | val_loss: 0.0460306 | Time: 3194.06 ms [2020-11-26 13:47:48 main:581] : INFO : Epoch 166 | loss: 0.0462746 | val_loss: 0.0467737 | Time: 3030.11 ms [2020-11-26 13:47:51 main:581] : INFO : Epoch 167 | loss: 0.0470709 | val_loss: 0.0479502 | Time: 2999.7 ms [2020-11-26 13:47:54 main:581] : INFO : Epoch 168 | loss: 0.0477789 | val_loss: 0.0474082 | Time: 3045.22 ms [2020-11-26 13:47:57 main:581] : INFO : Epoch 169 | loss: 0.047118 | val_loss: 0.0468044 | Time: 2959.38 ms [2020-11-26 13:48:00 main:581] : INFO : Epoch 170 | loss: 0.047224 | val_loss: 0.0478363 | Time: 3114.48 ms [2020-11-26 13:48:03 main:581] : INFO : Epoch 171 | loss: 0.0476546 | val_loss: 0.0479779 | Time: 2988.27 ms [2020-11-26 13:48:06 main:581] : INFO : Epoch 172 | loss: 0.0477981 | val_loss: 0.0476533 | Time: 3112.89 ms [2020-11-26 13:48:09 main:581] : INFO : Epoch 173 | loss: 0.0473952 | val_loss: 0.0476752 | Time: 3131.87 ms [2020-11-26 13:48:12 main:581] : INFO : Epoch 174 | loss: 0.0471995 | val_loss: 0.047247 | Time: 2998.59 ms [2020-11-26 13:48:15 main:581] : INFO : Epoch 175 | loss: 0.0465571 | val_loss: 0.0465771 | Time: 3067.04 ms [2020-11-26 13:48:19 main:581] : INFO : Epoch 176 | loss: 0.0456036 | val_loss: 0.0457959 | Time: 3146.38 ms [2020-11-26 13:48:22 main:581] : INFO : Epoch 177 | loss: 0.0449033 | val_loss: 0.044952 | Time: 3069.63 ms [2020-11-26 13:48:25 main:581] : INFO : Epoch 178 | loss: 0.0441168 | val_loss: 0.0441665 | Time: 2976.3 ms [2020-11-26 13:48:28 main:581] : INFO : Epoch 179 | loss: 0.0434315 | val_loss: 0.0438435 | Time: 3144.62 ms [2020-11-26 13:48:31 main:581] : INFO : Epoch 180 | loss: 0.0435014 | val_loss: 0.0441604 | Time: 3074.3 ms [2020-11-26 13:48:34 main:581] : INFO : Epoch 181 | loss: 0.0438457 | val_loss: 0.0439701 | Time: 3030.11 ms [2020-11-26 13:48:37 main:581] : INFO : Epoch 182 | loss: 0.0434899 | val_loss: 0.0436391 | Time: 3032.5 ms [2020-11-26 13:48:40 main:581] : INFO : Epoch 183 | loss: 0.0430335 | val_loss: 0.0432843 | Time: 3012.92 ms [2020-11-26 13:48:43 main:581] : INFO : Epoch 184 | loss: 0.0431924 | val_loss: 0.0435644 | Time: 3082.29 ms [2020-11-26 13:48:46 main:581] : INFO : Epoch 185 | loss: 0.0428778 | val_loss: 0.043206 | Time: 3114.78 ms [2020-11-26 13:48:49 main:581] : INFO : Epoch 186 | loss: 0.0422807 | val_loss: 0.0422478 | Time: 2996.2 ms [2020-11-26 13:48:52 main:581] : INFO : Epoch 187 | loss: 0.0414569 | val_loss: 0.0416803 | Time: 2994.97 ms [2020-11-26 13:48:55 main:581] : INFO : Epoch 188 | loss: 0.040764 | val_loss: 0.0413913 | Time: 3088.94 ms [2020-11-26 13:48:58 main:581] : INFO : Epoch 189 | loss: 0.0411147 | val_loss: 0.0421226 | Time: 3033.7 ms [2020-11-26 13:49:01 main:581] : INFO : Epoch 190 | loss: 0.0420444 | val_loss: 0.044421 | Time: 2988.34 ms [2020-11-26 13:49:04 main:581] : INFO : Epoch 191 | loss: 0.0444724 | val_loss: 0.0440737 | Time: 2983.29 ms [2020-11-26 13:49:07 main:581] : INFO : Epoch 192 | loss: 0.044059 | val_loss: 0.0447544 | Time: 2996.95 ms [2020-11-26 13:49:07 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0447544 [2020-11-26 13:49:07 main:610] : INFO : Saving end state to config to file [2020-11-26 13:49:07 main:615] : INFO : Success, exiting.. 13:49:07 (14987): 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)