Task 3073802
| Name | rand_automata_0082-1606118020-23562-82_0 |
| Workunit | 1402228 |
| Created | 26 Nov 2020, 18:19:01 UTC |
| Sent | 26 Nov 2020, 18:28:50 UTC |
| Report deadline | 3 Dec 2020, 18:28:50 UTC |
| Received | 26 Nov 2020, 18:39:37 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 13:29:08 main:442] : INFO : Set logging level to 1 [2020-11-26 13:29:08 main:448] : INFO : Running in BOINC Client mode [2020-11-26 13:29:08 main:451] : INFO : Resolving all filenames [2020-11-26 13:29:08 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 (exists = 1) [2020-11-26 13:29:08 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1606118020-23562-82_0_r524212714_1 (exists = 0) [2020-11-26 13:29:08 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1606118020-23562-82_0_r524212714_0 (exists = 0) [2020-11-26 13:29:08 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1606118020-23562-82 (exists = 1) [2020-11-26 13:29:08 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-26 13:29:08 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 [2020-11-26 13:29:08 main:481] : INFO : Configuration: [2020-11-26 13:29:08 main:482] : INFO : Model type: LSTM [2020-11-26 13:29:08 main:483] : INFO : Validation Loss Threshold: 0.0001 [2020-11-26 13:29:08 main:484] : INFO : Max Epochs: 192 [2020-11-26 13:29:08 main:485] : INFO : Batch Size: 32 [2020-11-26 13:29:08 main:486] : INFO : Learning Rate: 0.001 [2020-11-26 13:29:08 main:487] : INFO : Patience: 10 [2020-11-26 13:29:08 main:488] : INFO : Hidden Width: 64 [2020-11-26 13:29:08 main:489] : INFO : # Recurrent Layers: 4 [2020-11-26 13:29:08 main:490] : INFO : # Backend Layers: 2 [2020-11-26 13:29:08 main:491] : INFO : # Threads: 1 [2020-11-26 13:29:08 main:493] : INFO : Preparing Dataset [2020-11-26 13:29:08 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 13:29:08 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 13:29:10 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-26 13:29:10 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 13:29:10 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 13:29:10 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-26 13:29:10 main:501] : INFO : Creating Model [2020-11-26 13:29:10 main:514] : INFO : Preparing config file [2020-11-26 13:29:10 main:526] : INFO : Creating new config file [2020-11-26 13:29:10 main:545] : INFO : This is a continuation WU, loading previous network [2020-11-26 13:29:10 main:566] : INFO : Loading DataLoader into Memory [2020-11-26 13:29:10 main:569] : INFO : Starting Training [2020-11-26 13:29:15 main:581] : INFO : Epoch 1 | loss: 0.0603091 | val_loss: 0.06021 | Time: 4700.12 ms [2020-11-26 13:29:18 main:581] : INFO : Epoch 2 | loss: 0.0602304 | val_loss: 0.0601869 | Time: 3069.39 ms [2020-11-26 13:29:21 main:581] : INFO : Epoch 3 | loss: 0.0602066 | val_loss: 0.0601537 | Time: 3038.57 ms [2020-11-26 13:29:24 main:581] : INFO : Epoch 4 | loss: 0.0601872 | val_loss: 0.0601843 | Time: 3053.12 ms [2020-11-26 13:29:27 main:581] : INFO : Epoch 5 | loss: 0.0601695 | val_loss: 0.0601716 | Time: 3007.96 ms [2020-11-26 13:29:30 main:581] : INFO : Epoch 6 | loss: 0.0601744 | val_loss: 0.0602199 | Time: 3035.54 ms [2020-11-26 13:29:33 main:581] : INFO : Epoch 7 | loss: 0.0601845 | val_loss: 0.0601872 | Time: 3045.5 ms [2020-11-26 13:29:36 main:581] : INFO : Epoch 8 | loss: 0.0602022 | val_loss: 0.0602088 | Time: 3033.37 ms [2020-11-26 13:29:39 main:581] : INFO : Epoch 9 | loss: 0.060206 | val_loss: 0.0601885 | Time: 3011.19 ms [2020-11-26 13:29:42 main:581] : INFO : Epoch 10 | loss: 0.0602014 | val_loss: 0.0601821 | Time: 3093.52 ms [2020-11-26 13:29:46 main:581] : INFO : Epoch 11 | loss: 0.0602036 | val_loss: 0.0601686 | Time: 3203.06 ms [2020-11-26 13:29:49 main:581] : INFO : Epoch 12 | loss: 0.0602024 | val_loss: 0.0601752 | Time: 3080.16 ms [2020-11-26 13:29:52 main:581] : INFO : Epoch 13 | loss: 0.0602063 | val_loss: 0.0601887 | Time: 2975.46 ms [2020-11-26 13:29:55 main:581] : INFO : Epoch 14 | loss: 0.0602261 | val_loss: 0.0602193 | Time: 2945.72 ms [2020-11-26 13:29:58 main:581] : INFO : Epoch 15 | loss: 0.0602776 | val_loss: 0.0602596 | Time: 3116.48 ms [2020-11-26 13:30:01 main:581] : INFO : Epoch 16 | loss: 0.0602779 | val_loss: 0.0602629 | Time: 3054.49 ms [2020-11-26 13:30:04 main:581] : INFO : Epoch 17 | loss: 0.0602801 | val_loss: 0.0602717 | Time: 3031.01 ms [2020-11-26 13:30:07 main:581] : INFO : Epoch 18 | loss: 0.0603098 | val_loss: 0.0603332 | Time: 2971.08 ms [2020-11-26 13:30:10 main:581] : INFO : Epoch 19 | loss: 0.0603403 | val_loss: 0.0603331 | Time: 2999 ms [2020-11-26 13:30:13 main:581] : INFO : Epoch 20 | loss: 0.0603333 | val_loss: 0.0603354 | Time: 3117.35 ms [2020-11-26 13:30:16 main:581] : INFO : Epoch 21 | loss: 0.0603381 | val_loss: 0.0603464 | Time: 3140.45 ms [2020-11-26 13:30:19 main:581] : INFO : Epoch 22 | loss: 0.0603443 | val_loss: 0.0603542 | Time: 3109.96 ms [2020-11-26 13:30:22 main:581] : INFO : Epoch 23 | loss: 0.0603442 | val_loss: 0.0603624 | Time: 2981.99 ms [2020-11-26 13:30:25 main:581] : INFO : Epoch 24 | loss: 0.0603525 | val_loss: 0.0603568 | Time: 2958.4 ms [2020-11-26 13:30:28 main:581] : INFO : Epoch 25 | loss: 0.0603559 | val_loss: 0.0604064 | Time: 3026.44 ms [2020-11-26 13:30:31 main:581] : INFO : Epoch 26 | loss: 0.0603954 | val_loss: 0.0603963 | Time: 2968.98 ms [2020-11-26 13:30:34 main:581] : INFO : Epoch 27 | loss: 0.0604002 | val_loss: 0.0604189 | Time: 3178.07 ms [2020-11-26 13:30:37 main:581] : INFO : Epoch 28 | loss: 0.0604046 | val_loss: 0.0604241 | Time: 3054.01 ms [2020-11-26 13:30:40 main:581] : INFO : Epoch 29 | loss: 0.0604015 | val_loss: 0.0604146 | Time: 2966.08 ms [2020-11-26 13:30:43 main:581] : INFO : Epoch 30 | loss: 0.0604017 | val_loss: 0.0604 | Time: 3079.98 ms [2020-11-26 13:30:46 main:581] : INFO : Epoch 31 | loss: 0.0604013 | val_loss: 0.0603962 | Time: 2989.7 ms [2020-11-26 13:30:49 main:581] : INFO : Epoch 32 | loss: 0.0604855 | val_loss: 0.0605618 | Time: 3077.63 ms [2020-11-26 13:30:53 main:581] : INFO : Epoch 33 | loss: 0.0605464 | val_loss: 0.0605209 | Time: 3117.5 ms [2020-11-26 13:30:56 main:581] : INFO : Epoch 34 | loss: 0.0605005 | val_loss: 0.0604866 | Time: 3031.34 ms [2020-11-26 13:30:59 main:581] : INFO : Epoch 35 | loss: 0.0604908 | val_loss: 0.0604841 | Time: 3045.95 ms [2020-11-26 13:31:02 main:581] : INFO : Epoch 36 | loss: 0.0604955 | val_loss: 0.0605048 | Time: 3205.9 ms [2020-11-26 13:31:05 main:581] : INFO : Epoch 37 | loss: 0.0605017 | val_loss: 0.0605064 | Time: 3077.88 ms [2020-11-26 13:31:08 main:581] : INFO : Epoch 38 | loss: 0.0604974 | val_loss: 0.0604961 | Time: 3006.02 ms [2020-11-26 13:31:11 main:581] : INFO : Epoch 39 | loss: 0.0605059 | val_loss: 0.0605259 | Time: 3242.79 ms [2020-11-26 13:31:14 main:581] : INFO : Epoch 40 | loss: 0.0604988 | val_loss: 0.0605164 | Time: 3100.62 ms [2020-11-26 13:31:17 main:581] : INFO : Epoch 41 | loss: 0.0604874 | val_loss: 0.0605004 | Time: 2940.51 ms [2020-11-26 13:31:20 main:581] : INFO : Epoch 42 | loss: 0.0604925 | val_loss: 0.0604948 | Time: 2955.77 ms [2020-11-26 13:31:23 main:581] : INFO : Epoch 43 | loss: 0.0605144 | val_loss: 0.0605707 | Time: 3021.06 ms [2020-11-26 13:31:26 main:581] : INFO : Epoch 44 | loss: 0.0605473 | val_loss: 0.0605217 | Time: 3080.1 ms [2020-11-26 13:31:29 main:581] : INFO : Epoch 45 | loss: 0.0604645 | val_loss: 0.0604822 | Time: 2985.96 ms [2020-11-26 13:31:32 main:581] : INFO : Epoch 46 | loss: 0.0607535 | val_loss: 0.0608727 | Time: 2966.14 ms [2020-11-26 13:31:35 main:581] : INFO : Epoch 47 | loss: 0.060897 | val_loss: 0.0608659 | Time: 3125.29 ms [2020-11-26 13:31:38 main:581] : INFO : Epoch 48 | loss: 0.0608782 | val_loss: 0.0608968 | Time: 3059.79 ms [2020-11-26 13:31:41 main:581] : INFO : Epoch 49 | loss: 0.0609009 | val_loss: 0.0609161 | Time: 3109.78 ms [2020-11-26 13:31:45 main:581] : INFO : Epoch 50 | loss: 0.0609099 | val_loss: 0.0608921 | Time: 3011.47 ms [2020-11-26 13:31:47 main:581] : INFO : Epoch 51 | loss: 0.0609085 | val_loss: 0.060905 | Time: 2978.32 ms [2020-11-26 13:31:50 main:581] : INFO : Epoch 52 | loss: 0.0609209 | val_loss: 0.0609546 | Time: 2947.79 ms [2020-11-26 13:31:54 main:581] : INFO : Epoch 53 | loss: 0.0609319 | val_loss: 0.0609456 | Time: 3069.03 ms [2020-11-26 13:31:57 main:581] : INFO : Epoch 54 | loss: 0.060933 | val_loss: 0.0609467 | Time: 3006.4 ms [2020-11-26 13:32:00 main:581] : INFO : Epoch 55 | loss: 0.0609321 | val_loss: 0.0609752 | Time: 3030.31 ms [2020-11-26 13:32:03 main:581] : INFO : Epoch 56 | loss: 0.0609422 | val_loss: 0.060945 | Time: 2988.65 ms [2020-11-26 13:32:06 main:581] : INFO : Epoch 57 | loss: 0.0609316 | val_loss: 0.0609253 | Time: 3017.93 ms [2020-11-26 13:32:09 main:581] : INFO : Epoch 58 | loss: 0.0609284 | val_loss: 0.0609192 | Time: 3054.93 ms [2020-11-26 13:32:12 main:581] : INFO : Epoch 59 | loss: 0.0608607 | val_loss: 0.0608033 | Time: 3251.63 ms [2020-11-26 13:32:15 main:581] : INFO : Epoch 60 | loss: 0.0607464 | val_loss: 0.0607972 | Time: 3011.84 ms [2020-11-26 13:32:18 main:581] : INFO : Epoch 61 | loss: 0.0607479 | val_loss: 0.0607926 | Time: 3097.7 ms [2020-11-26 13:32:21 main:581] : INFO : Epoch 62 | loss: 0.0607598 | val_loss: 0.0607798 | Time: 3076.72 ms [2020-11-26 13:32:24 main:581] : INFO : Epoch 63 | loss: 0.0607768 | val_loss: 0.0607691 | Time: 3132.73 ms [2020-11-26 13:32:27 main:581] : INFO : Epoch 64 | loss: 0.0607685 | val_loss: 0.0607915 | Time: 2945.19 ms [2020-11-26 13:32:30 main:581] : INFO : Epoch 65 | loss: 0.0607746 | val_loss: 0.0608014 | Time: 3041.94 ms [2020-11-26 13:32:33 main:581] : INFO : Epoch 66 | loss: 0.0607916 | val_loss: 0.0608129 | Time: 2982.19 ms [2020-11-26 13:32:36 main:581] : INFO : Epoch 67 | loss: 0.060808 | val_loss: 0.0608569 | Time: 3065.65 ms [2020-11-26 13:32:39 main:581] : INFO : Epoch 68 | loss: 0.0608204 | val_loss: 0.0608738 | Time: 2968.7 ms [2020-11-26 13:32:42 main:581] : INFO : Epoch 69 | loss: 0.0608287 | val_loss: 0.0608673 | Time: 2981.06 ms [2020-11-26 13:32:45 main:581] : INFO : Epoch 70 | loss: 0.0608224 | val_loss: 0.0608484 | Time: 3165.09 ms [2020-11-26 13:32:48 main:581] : INFO : Epoch 71 | loss: 0.0607978 | val_loss: 0.0608199 | Time: 3031.15 ms [2020-11-26 13:32:51 main:581] : INFO : Epoch 72 | loss: 0.0607867 | val_loss: 0.0608381 | Time: 3027.74 ms [2020-11-26 13:32:55 main:581] : INFO : Epoch 73 | loss: 0.0609531 | val_loss: 0.0610621 | Time: 3208.84 ms [2020-11-26 13:32:58 main:581] : INFO : Epoch 74 | loss: 0.0610211 | val_loss: 0.0610436 | Time: 2988.85 ms [2020-11-26 13:33:01 main:581] : INFO : Epoch 75 | loss: 0.06098 | val_loss: 0.0609769 | Time: 3144.8 ms [2020-11-26 13:33:04 main:581] : INFO : Epoch 76 | loss: 0.0609703 | val_loss: 0.0609834 | Time: 3064.93 ms [2020-11-26 13:33:07 main:581] : INFO : Epoch 77 | loss: 0.0609735 | val_loss: 0.0609859 | Time: 3049.16 ms [2020-11-26 13:33:10 main:581] : INFO : Epoch 78 | loss: 0.0609714 | val_loss: 0.0609758 | Time: 3042.89 ms [2020-11-26 13:33:13 main:581] : INFO : Epoch 79 | loss: 0.0609715 | val_loss: 0.0609856 | Time: 2972.65 ms [2020-11-26 13:33:16 main:581] : INFO : Epoch 80 | loss: 0.0609686 | val_loss: 0.0609896 | Time: 2965.09 ms [2020-11-26 13:33:19 main:581] : INFO : Epoch 81 | loss: 0.0609663 | val_loss: 0.0609874 | Time: 3065.55 ms [2020-11-26 13:33:22 main:581] : INFO : Epoch 82 | loss: 0.0609556 | val_loss: 0.0609666 | Time: 2988.76 ms [2020-11-26 13:33:25 main:581] : INFO : Epoch 83 | loss: 0.0609471 | val_loss: 0.0609679 | Time: 3002.62 ms [2020-11-26 13:33:28 main:581] : INFO : Epoch 84 | loss: 0.0609504 | val_loss: 0.0609564 | Time: 3044.02 ms [2020-11-26 13:33:31 main:581] : INFO : Epoch 85 | loss: 0.0609495 | val_loss: 0.0609611 | Time: 3193.93 ms [2020-11-26 13:33:34 main:581] : INFO : Epoch 86 | loss: 0.0609754 | val_loss: 0.061002 | Time: 3128.93 ms [2020-11-26 13:33:37 main:581] : INFO : Epoch 87 | loss: 0.0609829 | val_loss: 0.060994 | Time: 3025.1 ms [2020-11-26 13:33:40 main:581] : INFO : Epoch 88 | loss: 0.0609907 | val_loss: 0.0609909 | Time: 3008.83 ms [2020-11-26 13:33:43 main:581] : INFO : Epoch 89 | loss: 0.0609871 | val_loss: 0.0609929 | Time: 2953.12 ms [2020-11-26 13:33:46 main:581] : INFO : Epoch 90 | loss: 0.0609489 | val_loss: 0.0608312 | Time: 3105.78 ms [2020-11-26 13:33:49 main:581] : INFO : Epoch 91 | loss: 0.0608607 | val_loss: 0.0608416 | Time: 2992.5 ms [2020-11-26 13:33:52 main:581] : INFO : Epoch 92 | loss: 0.0608628 | val_loss: 0.0608343 | Time: 3010.22 ms [2020-11-26 13:33:55 main:581] : INFO : Epoch 93 | loss: 0.0608825 | val_loss: 0.060889 | Time: 3061.66 ms [2020-11-26 13:33:58 main:581] : INFO : Epoch 94 | loss: 0.0609215 | val_loss: 0.0608941 | Time: 3001.06 ms [2020-11-26 13:34:02 main:581] : INFO : Epoch 95 | loss: 0.0609302 | val_loss: 0.0608858 | Time: 3132.81 ms [2020-11-26 13:34:05 main:581] : INFO : Epoch 96 | loss: 0.0609348 | val_loss: 0.0609008 | Time: 2976.35 ms [2020-11-26 13:34:08 main:581] : INFO : Epoch 97 | loss: 0.0609361 | val_loss: 0.0609011 | Time: 3017.95 ms [2020-11-26 13:34:11 main:581] : INFO : Epoch 98 | loss: 0.060936 | val_loss: 0.0609038 | Time: 2997.19 ms [2020-11-26 13:34:14 main:581] : INFO : Epoch 99 | loss: 0.0609347 | val_loss: 0.0608848 | Time: 3019.22 ms [2020-11-26 13:34:17 main:581] : INFO : Epoch 100 | loss: 0.0609353 | val_loss: 0.0608975 | Time: 2952.63 ms [2020-11-26 13:34:20 main:581] : INFO : Epoch 101 | loss: 0.0609356 | val_loss: 0.0609044 | Time: 3040.03 ms [2020-11-26 13:34:23 main:581] : INFO : Epoch 102 | loss: 0.0609349 | val_loss: 0.0608829 | Time: 3295.44 ms [2020-11-26 13:34:26 main:581] : INFO : Epoch 103 | loss: 0.0609916 | val_loss: 0.061015 | Time: 3086.28 ms [2020-11-26 13:34:29 main:581] : INFO : Epoch 104 | loss: 0.0610424 | val_loss: 0.0610187 | Time: 3148.99 ms [2020-11-26 13:34:32 main:581] : INFO : Epoch 105 | loss: 0.0610407 | val_loss: 0.0610229 | Time: 3016.03 ms [2020-11-26 13:34:35 main:581] : INFO : Epoch 106 | loss: 0.0610536 | val_loss: 0.0610567 | Time: 2981.49 ms [2020-11-26 13:34:38 main:581] : INFO : Epoch 107 | loss: 0.0610654 | val_loss: 0.0610678 | Time: 3243.83 ms [2020-11-26 13:34:41 main:581] : INFO : Epoch 108 | loss: 0.0611187 | val_loss: 0.0610841 | Time: 3127.23 ms [2020-11-26 13:34:44 main:581] : INFO : Epoch 109 | loss: 0.0611325 | val_loss: 0.061103 | Time: 2985.52 ms [2020-11-26 13:34:47 main:581] : INFO : Epoch 110 | loss: 0.0611315 | val_loss: 0.0610851 | Time: 3027.28 ms [2020-11-26 13:34:50 main:581] : INFO : Epoch 111 | loss: 0.0611317 | val_loss: 0.0610756 | Time: 2983.45 ms [2020-11-26 13:34:53 main:581] : INFO : Epoch 112 | loss: 0.0611308 | val_loss: 0.0610802 | Time: 2993.76 ms [2020-11-26 13:34:56 main:581] : INFO : Epoch 113 | loss: 0.0611312 | val_loss: 0.061093 | Time: 2944.25 ms [2020-11-26 13:34:59 main:581] : INFO : Epoch 114 | loss: 0.0611334 | val_loss: 0.061091 | Time: 3000.26 ms [2020-11-26 13:35:02 main:581] : INFO : Epoch 115 | loss: 0.0611312 | val_loss: 0.0610943 | Time: 2944.08 ms [2020-11-26 13:35:05 main:581] : INFO : Epoch 116 | loss: 0.0611324 | val_loss: 0.0610802 | Time: 2960.65 ms [2020-11-26 13:35:08 main:581] : INFO : Epoch 117 | loss: 0.0611301 | val_loss: 0.0610838 | Time: 2980.65 ms [2020-11-26 13:35:11 main:581] : INFO : Epoch 118 | loss: 0.0611301 | val_loss: 0.061077 | Time: 3041.83 ms [2020-11-26 13:35:14 main:581] : INFO : Epoch 119 | loss: 0.0611192 | val_loss: 0.0610934 | Time: 2944.53 ms [2020-11-26 13:35:17 main:581] : INFO : Epoch 120 | loss: 0.061123 | val_loss: 0.0611004 | Time: 3069.34 ms [2020-11-26 13:35:20 main:581] : INFO : Epoch 121 | loss: 0.0611198 | val_loss: 0.061086 | Time: 3120.73 ms [2020-11-26 13:35:23 main:581] : INFO : Epoch 122 | loss: 0.0611125 | val_loss: 0.061087 | Time: 2963.95 ms [2020-11-26 13:35:26 main:581] : INFO : Epoch 123 | loss: 0.0610665 | val_loss: 0.0609844 | Time: 2974.14 ms [2020-11-26 13:35:29 main:581] : INFO : Epoch 124 | loss: 0.0610197 | val_loss: 0.0609813 | Time: 3021.37 ms [2020-11-26 13:35:32 main:581] : INFO : Epoch 125 | loss: 0.0610084 | val_loss: 0.0609658 | Time: 3068.8 ms [2020-11-26 13:35:36 main:581] : INFO : Epoch 126 | loss: 0.0610064 | val_loss: 0.0609596 | Time: 3283.16 ms [2020-11-26 13:35:39 main:581] : INFO : Epoch 127 | loss: 0.0610059 | val_loss: 0.0609676 | Time: 3173.2 ms [2020-11-26 13:35:42 main:581] : INFO : Epoch 128 | loss: 0.0610151 | val_loss: 0.0610134 | Time: 2985.88 ms [2020-11-26 13:35:45 main:581] : INFO : Epoch 129 | loss: 0.0610401 | val_loss: 0.0609944 | Time: 3133.51 ms [2020-11-26 13:35:48 main:581] : INFO : Epoch 130 | loss: 0.0610438 | val_loss: 0.0609976 | Time: 3078.95 ms [2020-11-26 13:35:51 main:581] : INFO : Epoch 131 | loss: 0.0610416 | val_loss: 0.0609892 | Time: 3002.3 ms [2020-11-26 13:35:54 main:581] : INFO : Epoch 132 | loss: 0.0610395 | val_loss: 0.0610036 | Time: 2999.92 ms [2020-11-26 13:35:57 main:581] : INFO : Epoch 133 | loss: 0.0610463 | val_loss: 0.0610024 | Time: 3145.35 ms [2020-11-26 13:36:00 main:581] : INFO : Epoch 134 | loss: 0.0610444 | val_loss: 0.0609937 | Time: 3002.75 ms [2020-11-26 13:36:03 main:581] : INFO : Epoch 135 | loss: 0.0610457 | val_loss: 0.0610123 | Time: 3124.76 ms [2020-11-26 13:36:06 main:581] : INFO : Epoch 136 | loss: 0.0610464 | val_loss: 0.0610035 | Time: 3067.83 ms [2020-11-26 13:36:10 main:581] : INFO : Epoch 137 | loss: 0.0610449 | val_loss: 0.0610022 | Time: 3050.93 ms [2020-11-26 13:36:13 main:581] : INFO : Epoch 138 | loss: 0.0610403 | val_loss: 0.0609926 | Time: 3029.25 ms [2020-11-26 13:36:16 main:581] : INFO : Epoch 139 | loss: 0.0610364 | val_loss: 0.0609841 | Time: 2972.74 ms [2020-11-26 13:36:19 main:581] : INFO : Epoch 140 | loss: 0.0610436 | val_loss: 0.0610226 | Time: 3001.64 ms [2020-11-26 13:36:22 main:581] : INFO : Epoch 141 | loss: 0.0610488 | val_loss: 0.0610114 | Time: 2984.54 ms [2020-11-26 13:36:25 main:581] : INFO : Epoch 142 | loss: 0.0610495 | val_loss: 0.0610079 | Time: 2990.69 ms [2020-11-26 13:36:28 main:581] : INFO : Epoch 143 | loss: 0.061053 | val_loss: 0.0610153 | Time: 2994.86 ms [2020-11-26 13:36:31 main:581] : INFO : Epoch 144 | loss: 0.0610522 | val_loss: 0.0610116 | Time: 3021.14 ms [2020-11-26 13:36:34 main:581] : INFO : Epoch 145 | loss: 0.0610533 | val_loss: 0.0610162 | Time: 3016.23 ms [2020-11-26 13:36:37 main:581] : INFO : Epoch 146 | loss: 0.0610542 | val_loss: 0.0610083 | Time: 3023.03 ms [2020-11-26 13:36:40 main:581] : INFO : Epoch 147 | loss: 0.0610239 | val_loss: 0.0610027 | Time: 3018.44 ms [2020-11-26 13:36:43 main:581] : INFO : Epoch 148 | loss: 0.0610192 | val_loss: 0.0610053 | Time: 3133.29 ms [2020-11-26 13:36:46 main:581] : INFO : Epoch 149 | loss: 0.061015 | val_loss: 0.061008 | Time: 3168.01 ms [2020-11-26 13:36:49 main:581] : INFO : Epoch 150 | loss: 0.06102 | val_loss: 0.0609519 | Time: 3009.86 ms [2020-11-26 13:36:52 main:581] : INFO : Epoch 151 | loss: 0.0609512 | val_loss: 0.0609017 | Time: 2988.34 ms [2020-11-26 13:36:55 main:581] : INFO : Epoch 152 | loss: 0.0609389 | val_loss: 0.0608757 | Time: 3203.83 ms [2020-11-26 13:36:58 main:581] : INFO : Epoch 153 | loss: 0.0609392 | val_loss: 0.0608839 | Time: 3146.13 ms [2020-11-26 13:37:01 main:581] : INFO : Epoch 154 | loss: 0.0609403 | val_loss: 0.06091 | Time: 3028.4 ms [2020-11-26 13:37:04 main:581] : INFO : Epoch 155 | loss: 0.0609533 | val_loss: 0.0609264 | Time: 2971.07 ms [2020-11-26 13:37:07 main:581] : INFO : Epoch 156 | loss: 0.0609564 | val_loss: 0.0609271 | Time: 2963.18 ms [2020-11-26 13:37:10 main:581] : INFO : Epoch 157 | loss: 0.060959 | val_loss: 0.0609408 | Time: 3116.51 ms [2020-11-26 13:37:13 main:581] : INFO : Epoch 158 | loss: 0.0609532 | val_loss: 0.0609074 | Time: 2980.55 ms [2020-11-26 13:37:16 main:581] : INFO : Epoch 159 | loss: 0.0609437 | val_loss: 0.0609212 | Time: 3007.24 ms [2020-11-26 13:37:19 main:581] : INFO : Epoch 160 | loss: 0.0610077 | val_loss: 0.0610441 | Time: 3039.59 ms [2020-11-26 13:37:22 main:581] : INFO : Epoch 161 | loss: 0.0610589 | val_loss: 0.0610211 | Time: 3067.37 ms [2020-11-26 13:37:25 main:581] : INFO : Epoch 162 | loss: 0.0610561 | val_loss: 0.061035 | Time: 3034.98 ms [2020-11-26 13:37:29 main:581] : INFO : Epoch 163 | loss: 0.0610538 | val_loss: 0.0610409 | Time: 3087.58 ms [2020-11-26 13:37:32 main:581] : INFO : Epoch 164 | loss: 0.0610565 | val_loss: 0.061031 | Time: 3266.25 ms [2020-11-26 13:37:35 main:581] : INFO : Epoch 165 | loss: 0.0610624 | val_loss: 0.0610403 | Time: 3083.68 ms [2020-11-26 13:37:38 main:581] : INFO : Epoch 166 | loss: 0.0610738 | val_loss: 0.0610681 | Time: 2987.37 ms [2020-11-26 13:37:41 main:581] : INFO : Epoch 167 | loss: 0.061078 | val_loss: 0.061085 | Time: 3083.95 ms [2020-11-26 13:37:44 main:581] : INFO : Epoch 168 | loss: 0.0610823 | val_loss: 0.0610857 | Time: 2979.92 ms [2020-11-26 13:37:47 main:581] : INFO : Epoch 169 | loss: 0.0610724 | val_loss: 0.061021 | Time: 3016.06 ms [2020-11-26 13:37:50 main:581] : INFO : Epoch 170 | loss: 0.0610448 | val_loss: 0.061032 | Time: 3073.57 ms [2020-11-26 13:37:53 main:581] : INFO : Epoch 171 | loss: 0.061051 | val_loss: 0.0610382 | Time: 3067.81 ms [2020-11-26 13:37:56 main:581] : INFO : Epoch 172 | loss: 0.0610438 | val_loss: 0.0610376 | Time: 2979.88 ms [2020-11-26 13:37:59 main:581] : INFO : Epoch 173 | loss: 0.0610379 | val_loss: 0.0610159 | Time: 2959.73 ms [2020-11-26 13:38:02 main:581] : INFO : Epoch 174 | loss: 0.0610358 | val_loss: 0.0610211 | Time: 3034.12 ms [2020-11-26 13:38:05 main:581] : INFO : Epoch 175 | loss: 0.0610386 | val_loss: 0.0610249 | Time: 3034.63 ms [2020-11-26 13:38:08 main:581] : INFO : Epoch 176 | loss: 0.0610352 | val_loss: 0.061007 | Time: 2979.68 ms [2020-11-26 13:38:11 main:581] : INFO : Epoch 177 | loss: 0.0610326 | val_loss: 0.0610303 | Time: 2981.41 ms [2020-11-26 13:38:14 main:581] : INFO : Epoch 178 | loss: 0.0610378 | val_loss: 0.0610244 | Time: 3055.09 ms [2020-11-26 13:38:17 main:581] : INFO : Epoch 179 | loss: 0.0610341 | val_loss: 0.0610272 | Time: 3052.37 ms [2020-11-26 13:38:20 main:581] : INFO : Epoch 180 | loss: 0.0610356 | val_loss: 0.0610363 | Time: 3116.91 ms [2020-11-26 13:38:23 main:581] : INFO : Epoch 181 | loss: 0.0610326 | val_loss: 0.0610287 | Time: 3053.3 ms [2020-11-26 13:38:27 main:581] : INFO : Epoch 182 | loss: 0.061032 | val_loss: 0.061023 | Time: 3172.96 ms [2020-11-26 13:38:30 main:581] : INFO : Epoch 183 | loss: 0.0610389 | val_loss: 0.0610331 | Time: 3102.98 ms [2020-11-26 13:38:33 main:581] : INFO : Epoch 184 | loss: 0.0610325 | val_loss: 0.0610085 | Time: 2997.45 ms [2020-11-26 13:38:36 main:581] : INFO : Epoch 185 | loss: 0.0610768 | val_loss: 0.0612695 | Time: 3248.78 ms [2020-11-26 13:38:39 main:581] : INFO : Epoch 186 | loss: 0.0612698 | val_loss: 0.0612283 | Time: 2999.84 ms [2020-11-26 13:38:42 main:581] : INFO : Epoch 187 | loss: 0.0612293 | val_loss: 0.0612101 | Time: 2970.02 ms [2020-11-26 13:38:45 main:581] : INFO : Epoch 188 | loss: 0.0612346 | val_loss: 0.0612351 | Time: 3021.89 ms [2020-11-26 13:38:48 main:581] : INFO : Epoch 189 | loss: 0.0612542 | val_loss: 0.0612335 | Time: 2963.29 ms [2020-11-26 13:38:51 main:581] : INFO : Epoch 190 | loss: 0.0612733 | val_loss: 0.0612419 | Time: 2985.63 ms [2020-11-26 13:38:54 main:581] : INFO : Epoch 191 | loss: 0.0612689 | val_loss: 0.0612317 | Time: 3028.45 ms [2020-11-26 13:38:57 main:581] : INFO : Epoch 192 | loss: 0.0612812 | val_loss: 0.061247 | Time: 2969.08 ms [2020-11-26 13:38:57 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.061247 [2020-11-26 13:38:57 main:610] : INFO : Saving end state to config to file [2020-11-26 13:38:57 main:615] : INFO : Success, exiting.. 13:38:57 (14970): 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)