Task 3074780
| Name | rand_automata_0082-1606118020-23562-88_0 |
| Workunit | 1403054 |
| Created | 26 Nov 2020, 20:24:53 UTC |
| Sent | 26 Nov 2020, 20:34:45 UTC |
| Report deadline | 3 Dec 2020, 20:34:45 UTC |
| Received | 26 Nov 2020, 20:45:00 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 | 2.19 GB |
| Peak swap size | 10.00 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 15:35:02 main:442] : INFO : Set logging level to 1 [2020-11-26 15:35:02 main:448] : INFO : Running in BOINC Client mode [2020-11-26 15:35:02 main:451] : INFO : Resolving all filenames [2020-11-26 15:35:02 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 (exists = 1) [2020-11-26 15:35:02 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1606118020-23562-88_0_r1730050101_1 (exists = 0) [2020-11-26 15:35:02 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1606118020-23562-88_0_r1730050101_0 (exists = 0) [2020-11-26 15:35:02 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1606118020-23562-88 (exists = 1) [2020-11-26 15:35:02 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-26 15:35:02 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 [2020-11-26 15:35:02 main:481] : INFO : Configuration: [2020-11-26 15:35:02 main:482] : INFO : Model type: LSTM [2020-11-26 15:35:02 main:483] : INFO : Validation Loss Threshold: 0.0001 [2020-11-26 15:35:02 main:484] : INFO : Max Epochs: 192 [2020-11-26 15:35:02 main:485] : INFO : Batch Size: 32 [2020-11-26 15:35:02 main:486] : INFO : Learning Rate: 0.001 [2020-11-26 15:35:02 main:487] : INFO : Patience: 10 [2020-11-26 15:35:02 main:488] : INFO : Hidden Width: 64 [2020-11-26 15:35:02 main:489] : INFO : # Recurrent Layers: 4 [2020-11-26 15:35:02 main:490] : INFO : # Backend Layers: 2 [2020-11-26 15:35:02 main:491] : INFO : # Threads: 1 [2020-11-26 15:35:02 main:493] : INFO : Preparing Dataset [2020-11-26 15:35:02 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 15:35:02 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 15:35:04 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-26 15:35:04 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 15:35:04 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 15:35:04 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-26 15:35:04 main:501] : INFO : Creating Model [2020-11-26 15:35:04 main:514] : INFO : Preparing config file [2020-11-26 15:35:04 main:526] : INFO : Creating new config file [2020-11-26 15:35:04 main:545] : INFO : This is a continuation WU, loading previous network [2020-11-26 15:35:05 main:566] : INFO : Loading DataLoader into Memory [2020-11-26 15:35:05 main:569] : INFO : Starting Training [2020-11-26 15:35:09 main:581] : INFO : Epoch 1 | loss: 0.0522157 | val_loss: 0.0520569 | Time: 4673.33 ms [2020-11-26 15:35:12 main:581] : INFO : Epoch 2 | loss: 0.0520059 | val_loss: 0.0520424 | Time: 2968.15 ms [2020-11-26 15:35:15 main:581] : INFO : Epoch 3 | loss: 0.0522911 | val_loss: 0.0523697 | Time: 3012.18 ms [2020-11-26 15:35:18 main:581] : INFO : Epoch 4 | loss: 0.0523238 | val_loss: 0.0523959 | Time: 3115.96 ms [2020-11-26 15:35:21 main:581] : INFO : Epoch 5 | loss: 0.0523116 | val_loss: 0.0523111 | Time: 3072.38 ms [2020-11-26 15:35:24 main:581] : INFO : Epoch 6 | loss: 0.0522235 | val_loss: 0.0521793 | Time: 2952.36 ms [2020-11-26 15:35:27 main:581] : INFO : Epoch 7 | loss: 0.052213 | val_loss: 0.0523142 | Time: 3034.43 ms [2020-11-26 15:35:30 main:581] : INFO : Epoch 8 | loss: 0.0522995 | val_loss: 0.052395 | Time: 3001.08 ms [2020-11-26 15:35:33 main:581] : INFO : Epoch 9 | loss: 0.0522907 | val_loss: 0.052358 | Time: 3046.79 ms [2020-11-26 15:35:37 main:581] : INFO : Epoch 10 | loss: 0.0522169 | val_loss: 0.0522451 | Time: 3104.5 ms [2020-11-26 15:35:40 main:581] : INFO : Epoch 11 | loss: 0.0523272 | val_loss: 0.0526394 | Time: 3033.59 ms [2020-11-26 15:35:43 main:581] : INFO : Epoch 12 | loss: 0.0526262 | val_loss: 0.0531237 | Time: 3021.81 ms [2020-11-26 15:35:46 main:581] : INFO : Epoch 13 | loss: 0.0528246 | val_loss: 0.0527239 | Time: 2958.05 ms [2020-11-26 15:35:49 main:581] : INFO : Epoch 14 | loss: 0.0529598 | val_loss: 0.0531496 | Time: 3040.28 ms [2020-11-26 15:35:52 main:581] : INFO : Epoch 15 | loss: 0.0529682 | val_loss: 0.0530504 | Time: 3104.81 ms [2020-11-26 15:35:55 main:581] : INFO : Epoch 16 | loss: 0.0529617 | val_loss: 0.0530435 | Time: 3079.03 ms [2020-11-26 15:35:58 main:581] : INFO : Epoch 17 | loss: 0.0529771 | val_loss: 0.0529334 | Time: 3036.34 ms [2020-11-26 15:36:01 main:581] : INFO : Epoch 18 | loss: 0.0530143 | val_loss: 0.0531078 | Time: 2999.93 ms [2020-11-26 15:36:04 main:581] : INFO : Epoch 19 | loss: 0.0530961 | val_loss: 0.0530383 | Time: 3073.34 ms [2020-11-26 15:36:07 main:581] : INFO : Epoch 20 | loss: 0.0530004 | val_loss: 0.0529883 | Time: 3008.39 ms [2020-11-26 15:36:10 main:581] : INFO : Epoch 21 | loss: 0.053071 | val_loss: 0.0530889 | Time: 3122.99 ms [2020-11-26 15:36:13 main:581] : INFO : Epoch 22 | loss: 0.0531039 | val_loss: 0.0530375 | Time: 2982.32 ms [2020-11-26 15:36:16 main:581] : INFO : Epoch 23 | loss: 0.0530452 | val_loss: 0.0529975 | Time: 2983.48 ms [2020-11-26 15:36:19 main:581] : INFO : Epoch 24 | loss: 0.0530013 | val_loss: 0.0529623 | Time: 2948.51 ms [2020-11-26 15:36:22 main:581] : INFO : Epoch 25 | loss: 0.0529909 | val_loss: 0.0529325 | Time: 2969.3 ms [2020-11-26 15:36:25 main:581] : INFO : Epoch 26 | loss: 0.0529264 | val_loss: 0.0528616 | Time: 3005 ms [2020-11-26 15:36:28 main:581] : INFO : Epoch 27 | loss: 0.0528667 | val_loss: 0.0528623 | Time: 3037.31 ms [2020-11-26 15:36:31 main:581] : INFO : Epoch 28 | loss: 0.052776 | val_loss: 0.053104 | Time: 2946.49 ms [2020-11-26 15:36:34 main:581] : INFO : Epoch 29 | loss: 0.0532892 | val_loss: 0.0534822 | Time: 3015.92 ms [2020-11-26 15:36:37 main:581] : INFO : Epoch 30 | loss: 0.0538456 | val_loss: 0.0542172 | Time: 3032.56 ms [2020-11-26 15:36:40 main:581] : INFO : Epoch 31 | loss: 0.0541259 | val_loss: 0.0541804 | Time: 3107.61 ms [2020-11-26 15:36:43 main:581] : INFO : Epoch 32 | loss: 0.0541849 | val_loss: 0.0542301 | Time: 3069.64 ms [2020-11-26 15:36:46 main:581] : INFO : Epoch 33 | loss: 0.054171 | val_loss: 0.0542253 | Time: 3034.22 ms [2020-11-26 15:36:49 main:581] : INFO : Epoch 34 | loss: 0.0541198 | val_loss: 0.0541673 | Time: 3016.64 ms [2020-11-26 15:36:52 main:581] : INFO : Epoch 35 | loss: 0.0541499 | val_loss: 0.0541553 | Time: 3070.39 ms [2020-11-26 15:36:55 main:581] : INFO : Epoch 36 | loss: 0.0540226 | val_loss: 0.0540607 | Time: 3147.09 ms [2020-11-26 15:36:59 main:581] : INFO : Epoch 37 | loss: 0.053958 | val_loss: 0.054045 | Time: 3210.64 ms [2020-11-26 15:37:02 main:581] : INFO : Epoch 38 | loss: 0.0539467 | val_loss: 0.0540146 | Time: 3066.39 ms [2020-11-26 15:37:05 main:581] : INFO : Epoch 39 | loss: 0.053997 | val_loss: 0.0543368 | Time: 3165.37 ms [2020-11-26 15:37:08 main:581] : INFO : Epoch 40 | loss: 0.0543503 | val_loss: 0.0543224 | Time: 2994.31 ms [2020-11-26 15:37:11 main:581] : INFO : Epoch 41 | loss: 0.0543738 | val_loss: 0.0542872 | Time: 3051.2 ms [2020-11-26 15:37:14 main:581] : INFO : Epoch 42 | loss: 0.0543188 | val_loss: 0.0543057 | Time: 3092.96 ms [2020-11-26 15:37:17 main:581] : INFO : Epoch 43 | loss: 0.0542875 | val_loss: 0.0544445 | Time: 3108.76 ms [2020-11-26 15:37:20 main:581] : INFO : Epoch 44 | loss: 0.0544899 | val_loss: 0.0545711 | Time: 2971.25 ms [2020-11-26 15:37:23 main:581] : INFO : Epoch 45 | loss: 0.0545178 | val_loss: 0.0545338 | Time: 2994.95 ms [2020-11-26 15:37:26 main:581] : INFO : Epoch 46 | loss: 0.0544538 | val_loss: 0.0545312 | Time: 2991.7 ms [2020-11-26 15:37:29 main:581] : INFO : Epoch 47 | loss: 0.0544028 | val_loss: 0.0545371 | Time: 2962.56 ms [2020-11-26 15:37:32 main:581] : INFO : Epoch 48 | loss: 0.054356 | val_loss: 0.0543825 | Time: 3000.57 ms [2020-11-26 15:37:35 main:581] : INFO : Epoch 49 | loss: 0.0542407 | val_loss: 0.0543506 | Time: 3165.79 ms [2020-11-26 15:37:38 main:581] : INFO : Epoch 50 | loss: 0.0541778 | val_loss: 0.054283 | Time: 3158.86 ms [2020-11-26 15:37:41 main:581] : INFO : Epoch 51 | loss: 0.0541385 | val_loss: 0.054329 | Time: 3093.25 ms [2020-11-26 15:37:44 main:581] : INFO : Epoch 52 | loss: 0.0541699 | val_loss: 0.0542474 | Time: 2962.99 ms [2020-11-26 15:37:47 main:581] : INFO : Epoch 53 | loss: 0.0540975 | val_loss: 0.0542604 | Time: 3082.59 ms [2020-11-26 15:37:50 main:581] : INFO : Epoch 54 | loss: 0.0548048 | val_loss: 0.056103 | Time: 2942.05 ms [2020-11-26 15:37:53 main:581] : INFO : Epoch 55 | loss: 0.0560143 | val_loss: 0.0560277 | Time: 3060.66 ms [2020-11-26 15:37:56 main:581] : INFO : Epoch 56 | loss: 0.055977 | val_loss: 0.0560299 | Time: 2954.01 ms [2020-11-26 15:38:00 main:581] : INFO : Epoch 57 | loss: 0.055985 | val_loss: 0.0560434 | Time: 3095.48 ms [2020-11-26 15:38:03 main:581] : INFO : Epoch 58 | loss: 0.0559718 | val_loss: 0.0559775 | Time: 2989.54 ms [2020-11-26 15:38:06 main:581] : INFO : Epoch 59 | loss: 0.0558689 | val_loss: 0.0558786 | Time: 3121.18 ms [2020-11-26 15:38:09 main:581] : INFO : Epoch 60 | loss: 0.0558769 | val_loss: 0.0559638 | Time: 3005.32 ms [2020-11-26 15:38:12 main:581] : INFO : Epoch 61 | loss: 0.0558739 | val_loss: 0.0559615 | Time: 3121.87 ms [2020-11-26 15:38:15 main:581] : INFO : Epoch 62 | loss: 0.0558505 | val_loss: 0.0559792 | Time: 3104.68 ms [2020-11-26 15:38:18 main:581] : INFO : Epoch 63 | loss: 0.0558366 | val_loss: 0.0559266 | Time: 3086.52 ms [2020-11-26 15:38:21 main:581] : INFO : Epoch 64 | loss: 0.0558595 | val_loss: 0.0558898 | Time: 3020 ms [2020-11-26 15:38:24 main:581] : INFO : Epoch 65 | loss: 0.0557809 | val_loss: 0.0560277 | Time: 3089.28 ms [2020-11-26 15:38:27 main:581] : INFO : Epoch 66 | loss: 0.0559649 | val_loss: 0.0560349 | Time: 3048.55 ms [2020-11-26 15:38:30 main:581] : INFO : Epoch 67 | loss: 0.0558743 | val_loss: 0.055918 | Time: 2997.37 ms [2020-11-26 15:38:33 main:581] : INFO : Epoch 68 | loss: 0.0557769 | val_loss: 0.0558539 | Time: 3036.35 ms [2020-11-26 15:38:36 main:581] : INFO : Epoch 69 | loss: 0.0557953 | val_loss: 0.0559059 | Time: 3203.04 ms [2020-11-26 15:38:39 main:581] : INFO : Epoch 70 | loss: 0.0558818 | val_loss: 0.0559315 | Time: 3075.24 ms [2020-11-26 15:38:42 main:581] : INFO : Epoch 71 | loss: 0.0559544 | val_loss: 0.0559136 | Time: 3018.4 ms [2020-11-26 15:38:45 main:581] : INFO : Epoch 72 | loss: 0.0560556 | val_loss: 0.056096 | Time: 2982.18 ms [2020-11-26 15:38:48 main:581] : INFO : Epoch 73 | loss: 0.0560537 | val_loss: 0.0560617 | Time: 2971.84 ms [2020-11-26 15:38:51 main:581] : INFO : Epoch 74 | loss: 0.0560283 | val_loss: 0.0560171 | Time: 3001.42 ms [2020-11-26 15:38:54 main:581] : INFO : Epoch 75 | loss: 0.0559665 | val_loss: 0.0559646 | Time: 3040.9 ms [2020-11-26 15:38:57 main:581] : INFO : Epoch 76 | loss: 0.0559802 | val_loss: 0.0561157 | Time: 3006.13 ms [2020-11-26 15:39:00 main:581] : INFO : Epoch 77 | loss: 0.0561235 | val_loss: 0.0559975 | Time: 3032.57 ms [2020-11-26 15:39:03 main:581] : INFO : Epoch 78 | loss: 0.0559597 | val_loss: 0.0559217 | Time: 2990.57 ms [2020-11-26 15:39:06 main:581] : INFO : Epoch 79 | loss: 0.0562274 | val_loss: 0.0565245 | Time: 2970.28 ms [2020-11-26 15:39:09 main:581] : INFO : Epoch 80 | loss: 0.056433 | val_loss: 0.0565574 | Time: 3028.58 ms [2020-11-26 15:39:13 main:581] : INFO : Epoch 81 | loss: 0.0564348 | val_loss: 0.0565881 | Time: 3021.38 ms [2020-11-26 15:39:16 main:581] : INFO : Epoch 82 | loss: 0.0564838 | val_loss: 0.0565236 | Time: 3017.56 ms [2020-11-26 15:39:19 main:581] : INFO : Epoch 83 | loss: 0.0564979 | val_loss: 0.0565385 | Time: 2986.3 ms [2020-11-26 15:39:22 main:581] : INFO : Epoch 84 | loss: 0.0564828 | val_loss: 0.0565187 | Time: 3085.82 ms [2020-11-26 15:39:25 main:581] : INFO : Epoch 85 | loss: 0.0564409 | val_loss: 0.0565367 | Time: 2948.58 ms [2020-11-26 15:39:28 main:581] : INFO : Epoch 86 | loss: 0.056439 | val_loss: 0.0564496 | Time: 3020.22 ms [2020-11-26 15:39:31 main:581] : INFO : Epoch 87 | loss: 0.056417 | val_loss: 0.0565217 | Time: 3057.48 ms [2020-11-26 15:39:34 main:581] : INFO : Epoch 88 | loss: 0.0565564 | val_loss: 0.0566168 | Time: 3065.09 ms [2020-11-26 15:39:37 main:581] : INFO : Epoch 89 | loss: 0.0565597 | val_loss: 0.0566059 | Time: 3053.49 ms [2020-11-26 15:39:40 main:581] : INFO : Epoch 90 | loss: 0.0565656 | val_loss: 0.0565771 | Time: 2999.76 ms [2020-11-26 15:39:43 main:581] : INFO : Epoch 91 | loss: 0.0565386 | val_loss: 0.0565861 | Time: 3051.58 ms [2020-11-26 15:39:46 main:581] : INFO : Epoch 92 | loss: 0.0565196 | val_loss: 0.0565658 | Time: 3029.62 ms [2020-11-26 15:39:49 main:581] : INFO : Epoch 93 | loss: 0.0565336 | val_loss: 0.0565797 | Time: 3111.17 ms [2020-11-26 15:39:52 main:581] : INFO : Epoch 94 | loss: 0.0565146 | val_loss: 0.0564969 | Time: 2943.37 ms [2020-11-26 15:39:55 main:581] : INFO : Epoch 95 | loss: 0.0565304 | val_loss: 0.0565754 | Time: 2972.8 ms [2020-11-26 15:39:58 main:581] : INFO : Epoch 96 | loss: 0.0566089 | val_loss: 0.0566695 | Time: 3040.15 ms [2020-11-26 15:40:01 main:581] : INFO : Epoch 97 | loss: 0.0569858 | val_loss: 0.0570067 | Time: 3045.85 ms [2020-11-26 15:40:04 main:581] : INFO : Epoch 98 | loss: 0.0570128 | val_loss: 0.0570072 | Time: 3025.66 ms [2020-11-26 15:40:07 main:581] : INFO : Epoch 99 | loss: 0.0569842 | val_loss: 0.0568953 | Time: 2951.73 ms [2020-11-26 15:40:10 main:581] : INFO : Epoch 100 | loss: 0.0567386 | val_loss: 0.0566789 | Time: 3092.2 ms [2020-11-26 15:40:13 main:581] : INFO : Epoch 101 | loss: 0.0567127 | val_loss: 0.0568392 | Time: 2932.95 ms [2020-11-26 15:40:16 main:581] : INFO : Epoch 102 | loss: 0.0568297 | val_loss: 0.0569119 | Time: 2943.36 ms [2020-11-26 15:40:19 main:581] : INFO : Epoch 103 | loss: 0.0568135 | val_loss: 0.0568457 | Time: 3018.23 ms [2020-11-26 15:40:22 main:581] : INFO : Epoch 104 | loss: 0.0568162 | val_loss: 0.0568532 | Time: 3002.3 ms [2020-11-26 15:40:25 main:581] : INFO : Epoch 105 | loss: 0.0566113 | val_loss: 0.0565751 | Time: 3059.47 ms [2020-11-26 15:40:28 main:581] : INFO : Epoch 106 | loss: 0.0564798 | val_loss: 0.0565398 | Time: 3020.06 ms [2020-11-26 15:40:31 main:581] : INFO : Epoch 107 | loss: 0.0565439 | val_loss: 0.0566564 | Time: 3082.94 ms [2020-11-26 15:40:34 main:581] : INFO : Epoch 108 | loss: 0.0566286 | val_loss: 0.0566828 | Time: 3222.14 ms [2020-11-26 15:40:37 main:581] : INFO : Epoch 109 | loss: 0.0567238 | val_loss: 0.0567808 | Time: 3168.02 ms [2020-11-26 15:40:40 main:581] : INFO : Epoch 110 | loss: 0.0567014 | val_loss: 0.0568086 | Time: 2951.6 ms [2020-11-26 15:40:43 main:581] : INFO : Epoch 111 | loss: 0.0567228 | val_loss: 0.0568285 | Time: 3033.27 ms [2020-11-26 15:40:47 main:581] : INFO : Epoch 112 | loss: 0.0568099 | val_loss: 0.0568616 | Time: 3081.83 ms [2020-11-26 15:40:50 main:581] : INFO : Epoch 113 | loss: 0.056801 | val_loss: 0.0568365 | Time: 2999.1 ms [2020-11-26 15:40:53 main:581] : INFO : Epoch 114 | loss: 0.0567467 | val_loss: 0.0568002 | Time: 3085.01 ms [2020-11-26 15:40:56 main:581] : INFO : Epoch 115 | loss: 0.0567482 | val_loss: 0.0568342 | Time: 3205.11 ms [2020-11-26 15:40:59 main:581] : INFO : Epoch 116 | loss: 0.056771 | val_loss: 0.0568295 | Time: 3073.57 ms [2020-11-26 15:41:02 main:581] : INFO : Epoch 117 | loss: 0.0567584 | val_loss: 0.0568055 | Time: 3114.11 ms [2020-11-26 15:41:05 main:581] : INFO : Epoch 118 | loss: 0.0567368 | val_loss: 0.0567863 | Time: 3082.99 ms [2020-11-26 15:41:08 main:581] : INFO : Epoch 119 | loss: 0.0567411 | val_loss: 0.0567915 | Time: 3043.18 ms [2020-11-26 15:41:11 main:581] : INFO : Epoch 120 | loss: 0.0567608 | val_loss: 0.0568328 | Time: 3086.3 ms [2020-11-26 15:41:14 main:581] : INFO : Epoch 121 | loss: 0.0567902 | val_loss: 0.0568232 | Time: 3063.38 ms [2020-11-26 15:41:17 main:581] : INFO : Epoch 122 | loss: 0.0567743 | val_loss: 0.0569434 | Time: 2990.65 ms [2020-11-26 15:41:20 main:581] : INFO : Epoch 123 | loss: 0.0568289 | val_loss: 0.0569508 | Time: 3014.56 ms [2020-11-26 15:41:23 main:581] : INFO : Epoch 124 | loss: 0.0568067 | val_loss: 0.056951 | Time: 3099.29 ms [2020-11-26 15:41:26 main:581] : INFO : Epoch 125 | loss: 0.0568013 | val_loss: 0.056951 | Time: 3073.73 ms [2020-11-26 15:41:30 main:581] : INFO : Epoch 126 | loss: 0.056796 | val_loss: 0.0569611 | Time: 3090.06 ms [2020-11-26 15:41:33 main:581] : INFO : Epoch 127 | loss: 0.0568327 | val_loss: 0.0569729 | Time: 3079.34 ms [2020-11-26 15:41:36 main:581] : INFO : Epoch 128 | loss: 0.0568496 | val_loss: 0.0569712 | Time: 3076.45 ms [2020-11-26 15:41:39 main:581] : INFO : Epoch 129 | loss: 0.0568461 | val_loss: 0.0569654 | Time: 3116.16 ms [2020-11-26 15:41:42 main:581] : INFO : Epoch 130 | loss: 0.0568416 | val_loss: 0.0569735 | Time: 3017.71 ms [2020-11-26 15:41:45 main:581] : INFO : Epoch 131 | loss: 0.0568404 | val_loss: 0.0569547 | Time: 3009.64 ms [2020-11-26 15:41:48 main:581] : INFO : Epoch 132 | loss: 0.0568387 | val_loss: 0.0569576 | Time: 2984.44 ms [2020-11-26 15:41:51 main:581] : INFO : Epoch 133 | loss: 0.0568358 | val_loss: 0.0569549 | Time: 3100.25 ms [2020-11-26 15:41:54 main:581] : INFO : Epoch 134 | loss: 0.0568292 | val_loss: 0.0569715 | Time: 3030.57 ms [2020-11-26 15:41:57 main:581] : INFO : Epoch 135 | loss: 0.0568308 | val_loss: 0.0569693 | Time: 2972.37 ms [2020-11-26 15:42:00 main:581] : INFO : Epoch 136 | loss: 0.0568275 | val_loss: 0.0569656 | Time: 2998.82 ms [2020-11-26 15:42:03 main:581] : INFO : Epoch 137 | loss: 0.0568294 | val_loss: 0.0569629 | Time: 2994.89 ms [2020-11-26 15:42:06 main:581] : INFO : Epoch 138 | loss: 0.0568223 | val_loss: 0.0569489 | Time: 3093.39 ms [2020-11-26 15:42:09 main:581] : INFO : Epoch 139 | loss: 0.0568267 | val_loss: 0.0569565 | Time: 3010.26 ms [2020-11-26 15:42:12 main:581] : INFO : Epoch 140 | loss: 0.0568185 | val_loss: 0.0569356 | Time: 3034.66 ms [2020-11-26 15:42:15 main:581] : INFO : Epoch 141 | loss: 0.0568252 | val_loss: 0.0569641 | Time: 2962.01 ms [2020-11-26 15:42:18 main:581] : INFO : Epoch 142 | loss: 0.0568287 | val_loss: 0.0569755 | Time: 2965.34 ms [2020-11-26 15:42:21 main:581] : INFO : Epoch 143 | loss: 0.0568289 | val_loss: 0.0569497 | Time: 2995.79 ms [2020-11-26 15:42:24 main:581] : INFO : Epoch 144 | loss: 0.0568207 | val_loss: 0.056952 | Time: 3019.89 ms [2020-11-26 15:42:27 main:581] : INFO : Epoch 145 | loss: 0.0568144 | val_loss: 0.0569451 | Time: 2991.88 ms [2020-11-26 15:42:30 main:581] : INFO : Epoch 146 | loss: 0.056807 | val_loss: 0.0569403 | Time: 2987.75 ms [2020-11-26 15:42:33 main:581] : INFO : Epoch 147 | loss: 0.0567841 | val_loss: 0.0568076 | Time: 3088.72 ms [2020-11-26 15:42:36 main:581] : INFO : Epoch 148 | loss: 0.0566347 | val_loss: 0.0567668 | Time: 3091.92 ms [2020-11-26 15:42:39 main:581] : INFO : Epoch 149 | loss: 0.0566221 | val_loss: 0.0567421 | Time: 3091.16 ms [2020-11-26 15:42:42 main:581] : INFO : Epoch 150 | loss: 0.056553 | val_loss: 0.056723 | Time: 2979.11 ms [2020-11-26 15:42:45 main:581] : INFO : Epoch 151 | loss: 0.0565477 | val_loss: 0.0567119 | Time: 2968.69 ms [2020-11-26 15:42:48 main:581] : INFO : Epoch 152 | loss: 0.0565506 | val_loss: 0.0567156 | Time: 3040.99 ms [2020-11-26 15:42:51 main:581] : INFO : Epoch 153 | loss: 0.0565517 | val_loss: 0.0567195 | Time: 2960.26 ms [2020-11-26 15:42:54 main:581] : INFO : Epoch 154 | loss: 0.0565474 | val_loss: 0.0567117 | Time: 2999.3 ms [2020-11-26 15:42:57 main:581] : INFO : Epoch 155 | loss: 0.0565376 | val_loss: 0.0567414 | Time: 3023.73 ms [2020-11-26 15:43:00 main:581] : INFO : Epoch 156 | loss: 0.0565351 | val_loss: 0.0567239 | Time: 3052.84 ms [2020-11-26 15:43:03 main:581] : INFO : Epoch 157 | loss: 0.0565352 | val_loss: 0.0567098 | Time: 3105.2 ms [2020-11-26 15:43:07 main:581] : INFO : Epoch 158 | loss: 0.0565302 | val_loss: 0.0567131 | Time: 3121.16 ms [2020-11-26 15:43:10 main:581] : INFO : Epoch 159 | loss: 0.0565132 | val_loss: 0.0567061 | Time: 3069.36 ms [2020-11-26 15:43:13 main:581] : INFO : Epoch 160 | loss: 0.0565374 | val_loss: 0.0567222 | Time: 3071.74 ms [2020-11-26 15:43:16 main:581] : INFO : Epoch 161 | loss: 0.0565367 | val_loss: 0.0567204 | Time: 3042.16 ms [2020-11-26 15:43:19 main:581] : INFO : Epoch 162 | loss: 0.0565379 | val_loss: 0.0567181 | Time: 3035.56 ms [2020-11-26 15:43:22 main:581] : INFO : Epoch 163 | loss: 0.0565374 | val_loss: 0.0566899 | Time: 3073.28 ms [2020-11-26 15:43:25 main:581] : INFO : Epoch 164 | loss: 0.056581 | val_loss: 0.0567295 | Time: 3101.11 ms [2020-11-26 15:43:28 main:581] : INFO : Epoch 165 | loss: 0.0565759 | val_loss: 0.0567306 | Time: 3153.06 ms [2020-11-26 15:43:31 main:581] : INFO : Epoch 166 | loss: 0.0565671 | val_loss: 0.056739 | Time: 2986.88 ms [2020-11-26 15:43:34 main:581] : INFO : Epoch 167 | loss: 0.05656 | val_loss: 0.0567111 | Time: 3065.3 ms [2020-11-26 15:43:37 main:581] : INFO : Epoch 168 | loss: 0.0565479 | val_loss: 0.0567187 | Time: 3011.09 ms [2020-11-26 15:43:40 main:581] : INFO : Epoch 169 | loss: 0.0565483 | val_loss: 0.056715 | Time: 2979.4 ms [2020-11-26 15:43:43 main:581] : INFO : Epoch 170 | loss: 0.0565577 | val_loss: 0.0567388 | Time: 3071.41 ms [2020-11-26 15:43:46 main:581] : INFO : Epoch 171 | loss: 0.0565551 | val_loss: 0.0567124 | Time: 3019.11 ms [2020-11-26 15:43:49 main:581] : INFO : Epoch 172 | loss: 0.0565424 | val_loss: 0.0567134 | Time: 2947.37 ms [2020-11-26 15:43:52 main:581] : INFO : Epoch 173 | loss: 0.0565285 | val_loss: 0.0566986 | Time: 2981.61 ms [2020-11-26 15:43:55 main:581] : INFO : Epoch 174 | loss: 0.0565251 | val_loss: 0.0566947 | Time: 3328.86 ms [2020-11-26 15:43:59 main:581] : INFO : Epoch 175 | loss: 0.0565165 | val_loss: 0.0566554 | Time: 3119.04 ms [2020-11-26 15:44:02 main:581] : INFO : Epoch 176 | loss: 0.0565103 | val_loss: 0.0566481 | Time: 3064.34 ms [2020-11-26 15:44:05 main:581] : INFO : Epoch 177 | loss: 0.0565006 | val_loss: 0.0566345 | Time: 3012.76 ms [2020-11-26 15:44:08 main:581] : INFO : Epoch 178 | loss: 0.05648 | val_loss: 0.0566229 | Time: 3117.15 ms [2020-11-26 15:44:11 main:581] : INFO : Epoch 179 | loss: 0.0564706 | val_loss: 0.0566191 | Time: 3030.16 ms [2020-11-26 15:44:14 main:581] : INFO : Epoch 180 | loss: 0.056469 | val_loss: 0.0566393 | Time: 2978.21 ms [2020-11-26 15:44:17 main:581] : INFO : Epoch 181 | loss: 0.0564836 | val_loss: 0.0566281 | Time: 2984.09 ms [2020-11-26 15:44:20 main:581] : INFO : Epoch 182 | loss: 0.0565076 | val_loss: 0.0566489 | Time: 3097.56 ms [2020-11-26 15:44:23 main:581] : INFO : Epoch 183 | loss: 0.0565432 | val_loss: 0.0566759 | Time: 2963.71 ms [2020-11-26 15:44:26 main:581] : INFO : Epoch 184 | loss: 0.0565284 | val_loss: 0.0566658 | Time: 3038.17 ms [2020-11-26 15:44:29 main:581] : INFO : Epoch 185 | loss: 0.0565373 | val_loss: 0.0566597 | Time: 3036.01 ms [2020-11-26 15:44:32 main:581] : INFO : Epoch 186 | loss: 0.0565258 | val_loss: 0.0566571 | Time: 3065.25 ms [2020-11-26 15:44:35 main:581] : INFO : Epoch 187 | loss: 0.0566764 | val_loss: 0.0568907 | Time: 3048.58 ms [2020-11-26 15:44:38 main:581] : INFO : Epoch 188 | loss: 0.0567641 | val_loss: 0.0568856 | Time: 3056.13 ms [2020-11-26 15:44:41 main:581] : INFO : Epoch 189 | loss: 0.0567517 | val_loss: 0.0568776 | Time: 3116.5 ms [2020-11-26 15:44:44 main:581] : INFO : Epoch 190 | loss: 0.0567386 | val_loss: 0.0568634 | Time: 3230.57 ms [2020-11-26 15:44:47 main:581] : INFO : Epoch 191 | loss: 0.0567281 | val_loss: 0.0569109 | Time: 3005.34 ms [2020-11-26 15:44:51 main:581] : INFO : Epoch 192 | loss: 0.0567498 | val_loss: 0.0569014 | Time: 3081.01 ms [2020-11-26 15:44:51 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0569014 [2020-11-26 15:44:51 main:610] : INFO : Saving end state to config to file [2020-11-26 15:44:51 main:615] : INFO : Success, exiting.. 15:44:51 (15239): 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)