Task 3075211
| Name | rand_automata_0082-1606118020-23562-91_0 |
| Workunit | 1403441 |
| Created | 26 Nov 2020, 21:27:08 UTC |
| Sent | 26 Nov 2020, 21:36:53 UTC |
| Report deadline | 3 Dec 2020, 21:36:53 UTC |
| Received | 26 Nov 2020, 21:47:13 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 4754 |
| Run time | 9 min 54 sec |
| CPU time | 9 min 50 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 | 9.99 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 16:37:10 main:442] : INFO : Set logging level to 1 [2020-11-26 16:37:10 main:448] : INFO : Running in BOINC Client mode [2020-11-26 16:37:10 main:451] : INFO : Resolving all filenames [2020-11-26 16:37:10 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 (exists = 1) [2020-11-26 16:37:10 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1606118020-23562-91_0_r511373479_1 (exists = 0) [2020-11-26 16:37:10 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1606118020-23562-91_0_r511373479_0 (exists = 0) [2020-11-26 16:37:10 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1606118020-23562-91 (exists = 1) [2020-11-26 16:37:10 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-26 16:37:10 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 [2020-11-26 16:37:10 main:481] : INFO : Configuration: [2020-11-26 16:37:10 main:482] : INFO : Model type: LSTM [2020-11-26 16:37:10 main:483] : INFO : Validation Loss Threshold: 0.0001 [2020-11-26 16:37:10 main:484] : INFO : Max Epochs: 192 [2020-11-26 16:37:10 main:485] : INFO : Batch Size: 32 [2020-11-26 16:37:10 main:486] : INFO : Learning Rate: 0.001 [2020-11-26 16:37:10 main:487] : INFO : Patience: 10 [2020-11-26 16:37:10 main:488] : INFO : Hidden Width: 64 [2020-11-26 16:37:10 main:489] : INFO : # Recurrent Layers: 4 [2020-11-26 16:37:10 main:490] : INFO : # Backend Layers: 2 [2020-11-26 16:37:10 main:491] : INFO : # Threads: 1 [2020-11-26 16:37:10 main:493] : INFO : Preparing Dataset [2020-11-26 16:37:10 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 16:37:10 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 16:37:12 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-26 16:37:12 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 16:37:12 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 16:37:12 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-26 16:37:12 main:501] : INFO : Creating Model [2020-11-26 16:37:12 main:514] : INFO : Preparing config file [2020-11-26 16:37:12 main:526] : INFO : Creating new config file [2020-11-26 16:37:12 main:545] : INFO : This is a continuation WU, loading previous network [2020-11-26 16:37:13 main:566] : INFO : Loading DataLoader into Memory [2020-11-26 16:37:13 main:569] : INFO : Starting Training [2020-11-26 16:37:18 main:581] : INFO : Epoch 1 | loss: 0.0590143 | val_loss: 0.0590432 | Time: 5496.87 ms [2020-11-26 16:37:22 main:581] : INFO : Epoch 2 | loss: 0.059022 | val_loss: 0.0591624 | Time: 3009.3 ms [2020-11-26 16:37:25 main:581] : INFO : Epoch 3 | loss: 0.0591366 | val_loss: 0.0592049 | Time: 3003.28 ms [2020-11-26 16:37:28 main:581] : INFO : Epoch 4 | loss: 0.0592198 | val_loss: 0.0593381 | Time: 3005.36 ms [2020-11-26 16:37:31 main:581] : INFO : Epoch 5 | loss: 0.0591506 | val_loss: 0.0592638 | Time: 2979.86 ms [2020-11-26 16:37:34 main:581] : INFO : Epoch 6 | loss: 0.0591443 | val_loss: 0.0593025 | Time: 3131.06 ms [2020-11-26 16:37:37 main:581] : INFO : Epoch 7 | loss: 0.0593397 | val_loss: 0.0593401 | Time: 3174.53 ms [2020-11-26 16:37:40 main:581] : INFO : Epoch 8 | loss: 0.0593788 | val_loss: 0.0593832 | Time: 2986.05 ms [2020-11-26 16:37:43 main:581] : INFO : Epoch 9 | loss: 0.0594011 | val_loss: 0.0594059 | Time: 2982.73 ms [2020-11-26 16:37:46 main:581] : INFO : Epoch 10 | loss: 0.0594424 | val_loss: 0.0594855 | Time: 3004.63 ms [2020-11-26 16:37:49 main:581] : INFO : Epoch 11 | loss: 0.0594753 | val_loss: 0.059508 | Time: 3034 ms [2020-11-26 16:37:53 main:581] : INFO : Epoch 12 | loss: 0.0596331 | val_loss: 0.0597651 | Time: 3163.49 ms [2020-11-26 16:37:56 main:581] : INFO : Epoch 13 | loss: 0.0597183 | val_loss: 0.0597013 | Time: 3078.09 ms [2020-11-26 16:37:59 main:581] : INFO : Epoch 14 | loss: 0.0596909 | val_loss: 0.0597092 | Time: 3038.02 ms [2020-11-26 16:38:02 main:581] : INFO : Epoch 15 | loss: 0.0596895 | val_loss: 0.0597378 | Time: 3094.68 ms [2020-11-26 16:38:05 main:581] : INFO : Epoch 16 | loss: 0.0597616 | val_loss: 0.0598454 | Time: 3124.65 ms [2020-11-26 16:38:08 main:581] : INFO : Epoch 17 | loss: 0.0597773 | val_loss: 0.0597648 | Time: 3032.03 ms [2020-11-26 16:38:11 main:581] : INFO : Epoch 18 | loss: 0.0596236 | val_loss: 0.0596523 | Time: 3077.06 ms [2020-11-26 16:38:14 main:581] : INFO : Epoch 19 | loss: 0.0596418 | val_loss: 0.0597236 | Time: 2984.23 ms [2020-11-26 16:38:17 main:581] : INFO : Epoch 20 | loss: 0.0597401 | val_loss: 0.0597788 | Time: 3003.39 ms [2020-11-26 16:38:20 main:581] : INFO : Epoch 21 | loss: 0.0597932 | val_loss: 0.0598447 | Time: 3007.19 ms [2020-11-26 16:38:23 main:581] : INFO : Epoch 22 | loss: 0.0598076 | val_loss: 0.0597795 | Time: 2991.16 ms [2020-11-26 16:38:26 main:581] : INFO : Epoch 23 | loss: 0.0597683 | val_loss: 0.0597627 | Time: 3109.93 ms [2020-11-26 16:38:29 main:581] : INFO : Epoch 24 | loss: 0.0597249 | val_loss: 0.0597598 | Time: 3007.34 ms [2020-11-26 16:38:32 main:581] : INFO : Epoch 25 | loss: 0.0597215 | val_loss: 0.0597647 | Time: 3019.26 ms [2020-11-26 16:38:35 main:581] : INFO : Epoch 26 | loss: 0.0597258 | val_loss: 0.0597808 | Time: 3057.51 ms [2020-11-26 16:38:38 main:581] : INFO : Epoch 27 | loss: 0.0597403 | val_loss: 0.0597879 | Time: 2973.54 ms [2020-11-26 16:38:41 main:581] : INFO : Epoch 28 | loss: 0.0597455 | val_loss: 0.0597801 | Time: 3162.3 ms [2020-11-26 16:38:44 main:581] : INFO : Epoch 29 | loss: 0.0597395 | val_loss: 0.0597951 | Time: 3091.73 ms [2020-11-26 16:38:48 main:581] : INFO : Epoch 30 | loss: 0.0597354 | val_loss: 0.0597799 | Time: 3099.26 ms [2020-11-26 16:38:51 main:581] : INFO : Epoch 31 | loss: 0.0597305 | val_loss: 0.0597562 | Time: 3023.7 ms [2020-11-26 16:38:54 main:581] : INFO : Epoch 32 | loss: 0.0597072 | val_loss: 0.0597586 | Time: 3213.89 ms [2020-11-26 16:38:57 main:581] : INFO : Epoch 33 | loss: 0.0597069 | val_loss: 0.0597337 | Time: 3082.23 ms [2020-11-26 16:39:00 main:581] : INFO : Epoch 34 | loss: 0.059722 | val_loss: 0.0597314 | Time: 2998.98 ms [2020-11-26 16:39:03 main:581] : INFO : Epoch 35 | loss: 0.0596904 | val_loss: 0.0597056 | Time: 3060.16 ms [2020-11-26 16:39:06 main:581] : INFO : Epoch 36 | loss: 0.059661 | val_loss: 0.0596923 | Time: 3028.81 ms [2020-11-26 16:39:09 main:581] : INFO : Epoch 37 | loss: 0.0596555 | val_loss: 0.0596792 | Time: 3098.81 ms [2020-11-26 16:39:12 main:581] : INFO : Epoch 38 | loss: 0.0596376 | val_loss: 0.0596915 | Time: 3140.06 ms [2020-11-26 16:39:15 main:581] : INFO : Epoch 39 | loss: 0.0596406 | val_loss: 0.0596474 | Time: 3095.89 ms [2020-11-26 16:39:18 main:581] : INFO : Epoch 40 | loss: 0.0596304 | val_loss: 0.0596828 | Time: 3100.46 ms [2020-11-26 16:39:22 main:581] : INFO : Epoch 41 | loss: 0.0596522 | val_loss: 0.0596776 | Time: 3085.15 ms [2020-11-26 16:39:25 main:581] : INFO : Epoch 42 | loss: 0.0596514 | val_loss: 0.0596727 | Time: 3097.24 ms [2020-11-26 16:39:28 main:581] : INFO : Epoch 43 | loss: 0.0596257 | val_loss: 0.0596366 | Time: 3063.4 ms [2020-11-26 16:39:31 main:581] : INFO : Epoch 44 | loss: 0.0596077 | val_loss: 0.0596356 | Time: 3030.75 ms [2020-11-26 16:39:34 main:581] : INFO : Epoch 45 | loss: 0.0596 | val_loss: 0.0596126 | Time: 3100.29 ms [2020-11-26 16:39:37 main:581] : INFO : Epoch 46 | loss: 0.0595913 | val_loss: 0.0596152 | Time: 3001.64 ms [2020-11-26 16:39:40 main:581] : INFO : Epoch 47 | loss: 0.059596 | val_loss: 0.0596376 | Time: 3029.95 ms [2020-11-26 16:39:43 main:581] : INFO : Epoch 48 | loss: 0.0595946 | val_loss: 0.0596191 | Time: 3048.1 ms [2020-11-26 16:39:46 main:581] : INFO : Epoch 49 | loss: 0.0595975 | val_loss: 0.0595847 | Time: 3035.35 ms [2020-11-26 16:39:49 main:581] : INFO : Epoch 50 | loss: 0.0595749 | val_loss: 0.0595737 | Time: 3153.99 ms [2020-11-26 16:39:52 main:581] : INFO : Epoch 51 | loss: 0.0595687 | val_loss: 0.0596014 | Time: 3072.97 ms [2020-11-26 16:39:55 main:581] : INFO : Epoch 52 | loss: 0.0595709 | val_loss: 0.059595 | Time: 3095.67 ms [2020-11-26 16:39:58 main:581] : INFO : Epoch 53 | loss: 0.0595714 | val_loss: 0.0595884 | Time: 3053.78 ms [2020-11-26 16:40:01 main:581] : INFO : Epoch 54 | loss: 0.0595615 | val_loss: 0.059611 | Time: 3095.85 ms [2020-11-26 16:40:04 main:581] : INFO : Epoch 55 | loss: 0.0595814 | val_loss: 0.0596264 | Time: 3020.48 ms [2020-11-26 16:40:07 main:581] : INFO : Epoch 56 | loss: 0.0595809 | val_loss: 0.0596471 | Time: 3028.89 ms [2020-11-26 16:40:10 main:581] : INFO : Epoch 57 | loss: 0.0595858 | val_loss: 0.0596603 | Time: 3042.73 ms [2020-11-26 16:40:14 main:581] : INFO : Epoch 58 | loss: 0.0595848 | val_loss: 0.0596331 | Time: 3025.64 ms [2020-11-26 16:40:17 main:581] : INFO : Epoch 59 | loss: 0.0595756 | val_loss: 0.0595786 | Time: 3083.2 ms [2020-11-26 16:40:20 main:581] : INFO : Epoch 60 | loss: 0.0595283 | val_loss: 0.0595812 | Time: 3009.86 ms [2020-11-26 16:40:23 main:581] : INFO : Epoch 61 | loss: 0.0595311 | val_loss: 0.0595916 | Time: 3077.16 ms [2020-11-26 16:40:26 main:581] : INFO : Epoch 62 | loss: 0.0595311 | val_loss: 0.0595562 | Time: 3009.83 ms [2020-11-26 16:40:29 main:581] : INFO : Epoch 63 | loss: 0.0595325 | val_loss: 0.0595831 | Time: 3019.13 ms [2020-11-26 16:40:32 main:581] : INFO : Epoch 64 | loss: 0.0595433 | val_loss: 0.0595867 | Time: 3044.48 ms [2020-11-26 16:40:35 main:581] : INFO : Epoch 65 | loss: 0.059545 | val_loss: 0.0595783 | Time: 3181.27 ms [2020-11-26 16:40:38 main:581] : INFO : Epoch 66 | loss: 0.059541 | val_loss: 0.0595947 | Time: 3123.14 ms [2020-11-26 16:40:41 main:581] : INFO : Epoch 67 | loss: 0.0595624 | val_loss: 0.0596092 | Time: 3126.98 ms [2020-11-26 16:40:44 main:581] : INFO : Epoch 68 | loss: 0.0595486 | val_loss: 0.0595852 | Time: 3051.45 ms [2020-11-26 16:40:47 main:581] : INFO : Epoch 69 | loss: 0.059554 | val_loss: 0.0596196 | Time: 2995.07 ms [2020-11-26 16:40:50 main:581] : INFO : Epoch 70 | loss: 0.0595355 | val_loss: 0.0595987 | Time: 3029.44 ms [2020-11-26 16:40:53 main:581] : INFO : Epoch 71 | loss: 0.0595332 | val_loss: 0.0595767 | Time: 2976.4 ms [2020-11-26 16:40:56 main:581] : INFO : Epoch 72 | loss: 0.0595318 | val_loss: 0.0596053 | Time: 3003.14 ms [2020-11-26 16:40:59 main:581] : INFO : Epoch 73 | loss: 0.0595415 | val_loss: 0.0595887 | Time: 3053.17 ms [2020-11-26 16:41:02 main:581] : INFO : Epoch 74 | loss: 0.0595438 | val_loss: 0.0596094 | Time: 3047.57 ms [2020-11-26 16:41:05 main:581] : INFO : Epoch 75 | loss: 0.0595475 | val_loss: 0.059624 | Time: 3085.1 ms [2020-11-26 16:41:09 main:581] : INFO : Epoch 76 | loss: 0.0595777 | val_loss: 0.0596222 | Time: 3110.53 ms [2020-11-26 16:41:12 main:581] : INFO : Epoch 77 | loss: 0.0595689 | val_loss: 0.0596332 | Time: 3154.36 ms [2020-11-26 16:41:15 main:581] : INFO : Epoch 78 | loss: 0.0595715 | val_loss: 0.0596264 | Time: 3071.84 ms [2020-11-26 16:41:18 main:581] : INFO : Epoch 79 | loss: 0.0595668 | val_loss: 0.0596025 | Time: 3167.61 ms [2020-11-26 16:41:21 main:581] : INFO : Epoch 80 | loss: 0.059585 | val_loss: 0.0596856 | Time: 3145.77 ms [2020-11-26 16:41:24 main:581] : INFO : Epoch 81 | loss: 0.0596234 | val_loss: 0.0596542 | Time: 3061.18 ms [2020-11-26 16:41:27 main:581] : INFO : Epoch 82 | loss: 0.0596309 | val_loss: 0.0596578 | Time: 3004.53 ms [2020-11-26 16:41:30 main:581] : INFO : Epoch 83 | loss: 0.0596429 | val_loss: 0.0596757 | Time: 3053.04 ms [2020-11-26 16:41:33 main:581] : INFO : Epoch 84 | loss: 0.0595961 | val_loss: 0.0596138 | Time: 3003.85 ms [2020-11-26 16:41:36 main:581] : INFO : Epoch 85 | loss: 0.059566 | val_loss: 0.0596186 | Time: 3148.63 ms [2020-11-26 16:41:39 main:581] : INFO : Epoch 86 | loss: 0.0595679 | val_loss: 0.0596031 | Time: 3000.72 ms [2020-11-26 16:41:42 main:581] : INFO : Epoch 87 | loss: 0.0595431 | val_loss: 0.0595562 | Time: 3122.38 ms [2020-11-26 16:41:46 main:581] : INFO : Epoch 88 | loss: 0.0595845 | val_loss: 0.0596573 | Time: 3106.38 ms [2020-11-26 16:41:49 main:581] : INFO : Epoch 89 | loss: 0.059621 | val_loss: 0.0596639 | Time: 3055.51 ms [2020-11-26 16:41:52 main:581] : INFO : Epoch 90 | loss: 0.059696 | val_loss: 0.0597251 | Time: 3059.64 ms [2020-11-26 16:41:55 main:581] : INFO : Epoch 91 | loss: 0.059645 | val_loss: 0.0596799 | Time: 3089.61 ms [2020-11-26 16:41:58 main:581] : INFO : Epoch 92 | loss: 0.0596328 | val_loss: 0.0596561 | Time: 3102.84 ms [2020-11-26 16:42:01 main:581] : INFO : Epoch 93 | loss: 0.0596383 | val_loss: 0.0596961 | Time: 3073.85 ms [2020-11-26 16:42:04 main:581] : INFO : Epoch 94 | loss: 0.0596406 | val_loss: 0.0596879 | Time: 3024.41 ms [2020-11-26 16:42:07 main:581] : INFO : Epoch 95 | loss: 0.0596474 | val_loss: 0.0596518 | Time: 3032.85 ms [2020-11-26 16:42:10 main:581] : INFO : Epoch 96 | loss: 0.0596571 | val_loss: 0.0597055 | Time: 3012.74 ms [2020-11-26 16:42:13 main:581] : INFO : Epoch 97 | loss: 0.0596562 | val_loss: 0.0596814 | Time: 3038.96 ms [2020-11-26 16:42:16 main:581] : INFO : Epoch 98 | loss: 0.0596958 | val_loss: 0.0598407 | Time: 3062.14 ms [2020-11-26 16:42:19 main:581] : INFO : Epoch 99 | loss: 0.0599044 | val_loss: 0.0599393 | Time: 3127.39 ms [2020-11-26 16:42:22 main:581] : INFO : Epoch 100 | loss: 0.0598941 | val_loss: 0.0599211 | Time: 2970.44 ms [2020-11-26 16:42:25 main:581] : INFO : Epoch 101 | loss: 0.0599092 | val_loss: 0.0599071 | Time: 3125.36 ms [2020-11-26 16:42:28 main:581] : INFO : Epoch 102 | loss: 0.0598935 | val_loss: 0.0598872 | Time: 3111.12 ms [2020-11-26 16:42:32 main:581] : INFO : Epoch 103 | loss: 0.0599013 | val_loss: 0.0599026 | Time: 3037.04 ms [2020-11-26 16:42:34 main:581] : INFO : Epoch 104 | loss: 0.0598969 | val_loss: 0.0598938 | Time: 2966.49 ms [2020-11-26 16:42:37 main:581] : INFO : Epoch 105 | loss: 0.0598978 | val_loss: 0.0598623 | Time: 2957.69 ms [2020-11-26 16:42:40 main:581] : INFO : Epoch 106 | loss: 0.0598832 | val_loss: 0.059887 | Time: 3027.42 ms [2020-11-26 16:42:44 main:581] : INFO : Epoch 107 | loss: 0.0598757 | val_loss: 0.059881 | Time: 3043.81 ms [2020-11-26 16:42:46 main:581] : INFO : Epoch 108 | loss: 0.0598644 | val_loss: 0.0598678 | Time: 2977.47 ms [2020-11-26 16:42:50 main:581] : INFO : Epoch 109 | loss: 0.0598485 | val_loss: 0.0598406 | Time: 3056.4 ms [2020-11-26 16:42:53 main:581] : INFO : Epoch 110 | loss: 0.0598285 | val_loss: 0.0598565 | Time: 2992.68 ms [2020-11-26 16:42:56 main:581] : INFO : Epoch 111 | loss: 0.0598333 | val_loss: 0.059841 | Time: 2980.61 ms [2020-11-26 16:42:59 main:581] : INFO : Epoch 112 | loss: 0.0598186 | val_loss: 0.0598616 | Time: 3109.41 ms [2020-11-26 16:43:02 main:581] : INFO : Epoch 113 | loss: 0.059829 | val_loss: 0.0598673 | Time: 2977.99 ms [2020-11-26 16:43:05 main:581] : INFO : Epoch 114 | loss: 0.0598651 | val_loss: 0.0599015 | Time: 3103.77 ms [2020-11-26 16:43:08 main:581] : INFO : Epoch 115 | loss: 0.0598327 | val_loss: 0.0598034 | Time: 3024.58 ms [2020-11-26 16:43:11 main:581] : INFO : Epoch 116 | loss: 0.0597878 | val_loss: 0.0597648 | Time: 3036.27 ms [2020-11-26 16:43:14 main:581] : INFO : Epoch 117 | loss: 0.0597936 | val_loss: 0.0598591 | Time: 2990.27 ms [2020-11-26 16:43:17 main:581] : INFO : Epoch 118 | loss: 0.0597906 | val_loss: 0.0597117 | Time: 3003.68 ms [2020-11-26 16:43:20 main:581] : INFO : Epoch 119 | loss: 0.059621 | val_loss: 0.0597004 | Time: 3094.6 ms [2020-11-26 16:43:23 main:581] : INFO : Epoch 120 | loss: 0.0596207 | val_loss: 0.0596906 | Time: 2984.59 ms [2020-11-26 16:43:26 main:581] : INFO : Epoch 121 | loss: 0.0596246 | val_loss: 0.0597098 | Time: 3006.32 ms [2020-11-26 16:43:29 main:581] : INFO : Epoch 122 | loss: 0.0596205 | val_loss: 0.0596804 | Time: 2990.67 ms [2020-11-26 16:43:32 main:581] : INFO : Epoch 123 | loss: 0.0596194 | val_loss: 0.0596651 | Time: 3013.91 ms [2020-11-26 16:43:35 main:581] : INFO : Epoch 124 | loss: 0.0596166 | val_loss: 0.0596778 | Time: 3125.94 ms [2020-11-26 16:43:38 main:581] : INFO : Epoch 125 | loss: 0.0596145 | val_loss: 0.0596624 | Time: 3127.76 ms [2020-11-26 16:43:41 main:581] : INFO : Epoch 126 | loss: 0.0596157 | val_loss: 0.0596616 | Time: 3102.06 ms [2020-11-26 16:43:44 main:581] : INFO : Epoch 127 | loss: 0.0596554 | val_loss: 0.0597014 | Time: 3129.05 ms [2020-11-26 16:43:47 main:581] : INFO : Epoch 128 | loss: 0.0596557 | val_loss: 0.059694 | Time: 3016.62 ms [2020-11-26 16:43:50 main:581] : INFO : Epoch 129 | loss: 0.0596653 | val_loss: 0.0596936 | Time: 3085.11 ms [2020-11-26 16:43:54 main:581] : INFO : Epoch 130 | loss: 0.0596624 | val_loss: 0.0597002 | Time: 3057.54 ms [2020-11-26 16:43:57 main:581] : INFO : Epoch 131 | loss: 0.0596678 | val_loss: 0.0597075 | Time: 3115.92 ms [2020-11-26 16:44:00 main:581] : INFO : Epoch 132 | loss: 0.0596665 | val_loss: 0.0596981 | Time: 3037.13 ms [2020-11-26 16:44:03 main:581] : INFO : Epoch 133 | loss: 0.0596636 | val_loss: 0.059709 | Time: 3124.68 ms [2020-11-26 16:44:06 main:581] : INFO : Epoch 134 | loss: 0.0596616 | val_loss: 0.0597234 | Time: 3042.59 ms [2020-11-26 16:44:09 main:581] : INFO : Epoch 135 | loss: 0.059662 | val_loss: 0.0596615 | Time: 3072.29 ms [2020-11-26 16:44:12 main:581] : INFO : Epoch 136 | loss: 0.0595895 | val_loss: 0.059644 | Time: 3011.39 ms [2020-11-26 16:44:15 main:581] : INFO : Epoch 137 | loss: 0.0595883 | val_loss: 0.0596439 | Time: 3061.35 ms [2020-11-26 16:44:18 main:581] : INFO : Epoch 138 | loss: 0.0595906 | val_loss: 0.0596298 | Time: 3019.7 ms [2020-11-26 16:44:21 main:581] : INFO : Epoch 139 | loss: 0.0595904 | val_loss: 0.0596428 | Time: 2996.56 ms [2020-11-26 16:44:24 main:581] : INFO : Epoch 140 | loss: 0.0595892 | val_loss: 0.0596528 | Time: 3114.63 ms [2020-11-26 16:44:27 main:581] : INFO : Epoch 141 | loss: 0.0595943 | val_loss: 0.0596592 | Time: 3226.31 ms [2020-11-26 16:44:30 main:581] : INFO : Epoch 142 | loss: 0.0596032 | val_loss: 0.0596558 | Time: 3020.15 ms [2020-11-26 16:44:34 main:581] : INFO : Epoch 143 | loss: 0.0596068 | val_loss: 0.0596689 | Time: 3146.38 ms [2020-11-26 16:44:37 main:581] : INFO : Epoch 144 | loss: 0.0596037 | val_loss: 0.0596859 | Time: 3054.3 ms [2020-11-26 16:44:40 main:581] : INFO : Epoch 145 | loss: 0.0596075 | val_loss: 0.0596659 | Time: 2963.02 ms [2020-11-26 16:44:43 main:581] : INFO : Epoch 146 | loss: 0.0596139 | val_loss: 0.0596615 | Time: 3034.71 ms [2020-11-26 16:44:46 main:581] : INFO : Epoch 147 | loss: 0.0595947 | val_loss: 0.0595968 | Time: 2957.67 ms [2020-11-26 16:44:49 main:581] : INFO : Epoch 148 | loss: 0.059575 | val_loss: 0.0595924 | Time: 3219.71 ms [2020-11-26 16:44:52 main:581] : INFO : Epoch 149 | loss: 0.0595738 | val_loss: 0.0595708 | Time: 3008.88 ms [2020-11-26 16:44:55 main:581] : INFO : Epoch 150 | loss: 0.059566 | val_loss: 0.0595697 | Time: 2965.96 ms [2020-11-26 16:44:58 main:581] : INFO : Epoch 151 | loss: 0.0595666 | val_loss: 0.0595787 | Time: 3008.58 ms [2020-11-26 16:45:01 main:581] : INFO : Epoch 152 | loss: 0.0595771 | val_loss: 0.0595875 | Time: 2974.05 ms [2020-11-26 16:45:04 main:581] : INFO : Epoch 153 | loss: 0.0595787 | val_loss: 0.0595856 | Time: 3071.91 ms [2020-11-26 16:45:07 main:581] : INFO : Epoch 154 | loss: 0.0595802 | val_loss: 0.0595856 | Time: 3096.78 ms [2020-11-26 16:45:10 main:581] : INFO : Epoch 155 | loss: 0.0595805 | val_loss: 0.0596445 | Time: 3025.62 ms [2020-11-26 16:45:13 main:581] : INFO : Epoch 156 | loss: 0.0596081 | val_loss: 0.0596421 | Time: 2977.31 ms [2020-11-26 16:45:16 main:581] : INFO : Epoch 157 | loss: 0.0596125 | val_loss: 0.0596158 | Time: 2974.88 ms [2020-11-26 16:45:19 main:581] : INFO : Epoch 158 | loss: 0.0595869 | val_loss: 0.0596363 | Time: 3010.43 ms [2020-11-26 16:45:22 main:581] : INFO : Epoch 159 | loss: 0.0595934 | val_loss: 0.0596224 | Time: 3098.65 ms [2020-11-26 16:45:25 main:581] : INFO : Epoch 160 | loss: 0.0595741 | val_loss: 0.0595758 | Time: 3088.26 ms [2020-11-26 16:45:28 main:581] : INFO : Epoch 161 | loss: 0.0595862 | val_loss: 0.0595977 | Time: 3113.7 ms [2020-11-26 16:45:31 main:581] : INFO : Epoch 162 | loss: 0.0595846 | val_loss: 0.0595958 | Time: 3072.89 ms [2020-11-26 16:45:34 main:581] : INFO : Epoch 163 | loss: 0.0595759 | val_loss: 0.0595909 | Time: 3014.04 ms [2020-11-26 16:45:37 main:581] : INFO : Epoch 164 | loss: 0.059569 | val_loss: 0.0595825 | Time: 3015.05 ms [2020-11-26 16:45:40 main:581] : INFO : Epoch 165 | loss: 0.0595808 | val_loss: 0.0595788 | Time: 2992.08 ms [2020-11-26 16:45:43 main:581] : INFO : Epoch 166 | loss: 0.0595884 | val_loss: 0.0595503 | Time: 3025.26 ms [2020-11-26 16:45:46 main:581] : INFO : Epoch 167 | loss: 0.0595965 | val_loss: 0.0597037 | Time: 3015.25 ms [2020-11-26 16:45:49 main:581] : INFO : Epoch 168 | loss: 0.059752 | val_loss: 0.059741 | Time: 3047.21 ms [2020-11-26 16:45:52 main:581] : INFO : Epoch 169 | loss: 0.0597931 | val_loss: 0.0597925 | Time: 3010.05 ms [2020-11-26 16:45:55 main:581] : INFO : Epoch 170 | loss: 0.059816 | val_loss: 0.0598302 | Time: 2972.67 ms [2020-11-26 16:45:58 main:581] : INFO : Epoch 171 | loss: 0.0598279 | val_loss: 0.0598225 | Time: 3064.78 ms [2020-11-26 16:46:01 main:581] : INFO : Epoch 172 | loss: 0.0598347 | val_loss: 0.0598213 | Time: 3105.02 ms [2020-11-26 16:46:05 main:581] : INFO : Epoch 173 | loss: 0.0598314 | val_loss: 0.0598116 | Time: 3076.86 ms [2020-11-26 16:46:08 main:581] : INFO : Epoch 174 | loss: 0.0598395 | val_loss: 0.0598671 | Time: 3126.85 ms [2020-11-26 16:46:11 main:581] : INFO : Epoch 175 | loss: 0.0598794 | val_loss: 0.0598957 | Time: 3016.88 ms [2020-11-26 16:46:14 main:581] : INFO : Epoch 176 | loss: 0.0598817 | val_loss: 0.0598693 | Time: 3006.12 ms [2020-11-26 16:46:17 main:581] : INFO : Epoch 177 | loss: 0.0598641 | val_loss: 0.0598373 | Time: 3047.17 ms [2020-11-26 16:46:20 main:581] : INFO : Epoch 178 | loss: 0.0598594 | val_loss: 0.0598484 | Time: 3001.62 ms [2020-11-26 16:46:23 main:581] : INFO : Epoch 179 | loss: 0.0598594 | val_loss: 0.0598499 | Time: 3083.45 ms [2020-11-26 16:46:26 main:581] : INFO : Epoch 180 | loss: 0.0598589 | val_loss: 0.059852 | Time: 3069.11 ms [2020-11-26 16:46:29 main:581] : INFO : Epoch 181 | loss: 0.0598569 | val_loss: 0.0598651 | Time: 3102.66 ms [2020-11-26 16:46:32 main:581] : INFO : Epoch 182 | loss: 0.0598591 | val_loss: 0.05985 | Time: 2981.6 ms [2020-11-26 16:46:35 main:581] : INFO : Epoch 183 | loss: 0.0598542 | val_loss: 0.0598593 | Time: 3017.1 ms [2020-11-26 16:46:38 main:581] : INFO : Epoch 184 | loss: 0.0598566 | val_loss: 0.0598512 | Time: 3080.65 ms [2020-11-26 16:46:41 main:581] : INFO : Epoch 185 | loss: 0.0598528 | val_loss: 0.0598508 | Time: 2986.68 ms [2020-11-26 16:46:44 main:581] : INFO : Epoch 186 | loss: 0.0598524 | val_loss: 0.0598402 | Time: 2992.69 ms [2020-11-26 16:46:47 main:581] : INFO : Epoch 187 | loss: 0.0598506 | val_loss: 0.0598254 | Time: 2967.53 ms [2020-11-26 16:46:50 main:581] : INFO : Epoch 188 | loss: 0.0598525 | val_loss: 0.0598519 | Time: 2986.08 ms [2020-11-26 16:46:53 main:581] : INFO : Epoch 189 | loss: 0.0598542 | val_loss: 0.0598544 | Time: 2974.27 ms [2020-11-26 16:46:56 main:581] : INFO : Epoch 190 | loss: 0.0598486 | val_loss: 0.0598601 | Time: 3152.57 ms [2020-11-26 16:46:59 main:581] : INFO : Epoch 191 | loss: 0.0598515 | val_loss: 0.0598525 | Time: 3105.78 ms [2020-11-26 16:47:03 main:581] : INFO : Epoch 192 | loss: 0.0598605 | val_loss: 0.0598477 | Time: 3392.97 ms [2020-11-26 16:47:03 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0598477 [2020-11-26 16:47:03 main:610] : INFO : Saving end state to config to file [2020-11-26 16:47:03 main:615] : INFO : Success, exiting.. 16:47:03 (15381): 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)