Task 3074274
| Name | rand_automata_0082-1606118020-23562-85_0 |
| Workunit | 1402647 |
| Created | 26 Nov 2020, 19:22:47 UTC |
| Sent | 26 Nov 2020, 19:32:35 UTC |
| Report deadline | 3 Dec 2020, 19:32:35 UTC |
| Received | 26 Nov 2020, 19:43:04 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 4754 |
| Run time | 10 min 4 sec |
| CPU time | 10 min |
| 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 14:32:52 main:442] : INFO : Set logging level to 1 [2020-11-26 14:32:52 main:448] : INFO : Running in BOINC Client mode [2020-11-26 14:32:52 main:451] : INFO : Resolving all filenames [2020-11-26 14:32:52 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 (exists = 1) [2020-11-26 14:32:52 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1606118020-23562-85_0_r1903907203_1 (exists = 0) [2020-11-26 14:32:52 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1606118020-23562-85_0_r1903907203_0 (exists = 0) [2020-11-26 14:32:52 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1606118020-23562-85 (exists = 1) [2020-11-26 14:32:52 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-26 14:32:52 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 [2020-11-26 14:32:52 main:481] : INFO : Configuration: [2020-11-26 14:32:52 main:482] : INFO : Model type: LSTM [2020-11-26 14:32:52 main:483] : INFO : Validation Loss Threshold: 0.0001 [2020-11-26 14:32:52 main:484] : INFO : Max Epochs: 192 [2020-11-26 14:32:52 main:485] : INFO : Batch Size: 32 [2020-11-26 14:32:52 main:486] : INFO : Learning Rate: 0.001 [2020-11-26 14:32:52 main:487] : INFO : Patience: 10 [2020-11-26 14:32:52 main:488] : INFO : Hidden Width: 64 [2020-11-26 14:32:52 main:489] : INFO : # Recurrent Layers: 4 [2020-11-26 14:32:52 main:490] : INFO : # Backend Layers: 2 [2020-11-26 14:32:52 main:491] : INFO : # Threads: 1 [2020-11-26 14:32:52 main:493] : INFO : Preparing Dataset [2020-11-26 14:32:52 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 14:32:52 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 14:32:54 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-26 14:32:54 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 14:32:54 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 14:32:54 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-26 14:32:54 main:501] : INFO : Creating Model [2020-11-26 14:32:54 main:514] : INFO : Preparing config file [2020-11-26 14:32:54 main:526] : INFO : Creating new config file [2020-11-26 14:32:54 main:545] : INFO : This is a continuation WU, loading previous network [2020-11-26 14:32:54 main:566] : INFO : Loading DataLoader into Memory [2020-11-26 14:32:54 main:569] : INFO : Starting Training [2020-11-26 14:32:59 main:581] : INFO : Epoch 1 | loss: 0.0591578 | val_loss: 0.0590514 | Time: 4529.08 ms [2020-11-26 14:33:02 main:581] : INFO : Epoch 2 | loss: 0.0589381 | val_loss: 0.0588717 | Time: 3202.56 ms [2020-11-26 14:33:05 main:581] : INFO : Epoch 3 | loss: 0.0586559 | val_loss: 0.0585577 | Time: 3212.11 ms [2020-11-26 14:33:08 main:581] : INFO : Epoch 4 | loss: 0.0583172 | val_loss: 0.0582445 | Time: 3104.59 ms [2020-11-26 14:33:12 main:581] : INFO : Epoch 5 | loss: 0.0580885 | val_loss: 0.0580279 | Time: 3209.08 ms [2020-11-26 14:33:15 main:581] : INFO : Epoch 6 | loss: 0.0577626 | val_loss: 0.0576352 | Time: 2977.45 ms [2020-11-26 14:33:18 main:581] : INFO : Epoch 7 | loss: 0.0574729 | val_loss: 0.0574334 | Time: 3042.19 ms [2020-11-26 14:33:21 main:581] : INFO : Epoch 8 | loss: 0.0572117 | val_loss: 0.0572125 | Time: 3125.14 ms [2020-11-26 14:33:24 main:581] : INFO : Epoch 9 | loss: 0.0569834 | val_loss: 0.0569588 | Time: 3103.5 ms [2020-11-26 14:33:27 main:581] : INFO : Epoch 10 | loss: 0.0567312 | val_loss: 0.056748 | Time: 3101.73 ms [2020-11-26 14:33:30 main:581] : INFO : Epoch 11 | loss: 0.0565477 | val_loss: 0.0564522 | Time: 3136.89 ms [2020-11-26 14:33:33 main:581] : INFO : Epoch 12 | loss: 0.0562583 | val_loss: 0.0562354 | Time: 2967.07 ms [2020-11-26 14:33:37 main:581] : INFO : Epoch 13 | loss: 0.0560313 | val_loss: 0.0560065 | Time: 3528 ms [2020-11-26 14:33:40 main:581] : INFO : Epoch 14 | loss: 0.0557868 | val_loss: 0.0557541 | Time: 2980.44 ms [2020-11-26 14:33:43 main:581] : INFO : Epoch 15 | loss: 0.0556454 | val_loss: 0.0556672 | Time: 3109.74 ms [2020-11-26 14:33:46 main:581] : INFO : Epoch 16 | loss: 0.0554181 | val_loss: 0.0554166 | Time: 3004.53 ms [2020-11-26 14:33:49 main:581] : INFO : Epoch 17 | loss: 0.0551871 | val_loss: 0.0552187 | Time: 3206.31 ms [2020-11-26 14:33:52 main:581] : INFO : Epoch 18 | loss: 0.0550234 | val_loss: 0.0550484 | Time: 3088.46 ms [2020-11-26 14:33:55 main:581] : INFO : Epoch 19 | loss: 0.0551527 | val_loss: 0.0552374 | Time: 3187.35 ms [2020-11-26 14:33:58 main:581] : INFO : Epoch 20 | loss: 0.0550936 | val_loss: 0.0550265 | Time: 3067.9 ms [2020-11-26 14:34:01 main:581] : INFO : Epoch 21 | loss: 0.0549429 | val_loss: 0.0548853 | Time: 3084.85 ms [2020-11-26 14:34:04 main:581] : INFO : Epoch 22 | loss: 0.0550035 | val_loss: 0.0550784 | Time: 3039.61 ms [2020-11-26 14:34:08 main:581] : INFO : Epoch 23 | loss: 0.0550387 | val_loss: 0.0549669 | Time: 3139.53 ms [2020-11-26 14:34:11 main:581] : INFO : Epoch 24 | loss: 0.0549271 | val_loss: 0.0548866 | Time: 3097.44 ms [2020-11-26 14:34:14 main:581] : INFO : Epoch 25 | loss: 0.0548787 | val_loss: 0.0548478 | Time: 2935.89 ms [2020-11-26 14:34:17 main:581] : INFO : Epoch 26 | loss: 0.0549887 | val_loss: 0.0551292 | Time: 3008.67 ms [2020-11-26 14:34:20 main:581] : INFO : Epoch 27 | loss: 0.0550138 | val_loss: 0.055065 | Time: 3048.41 ms [2020-11-26 14:34:23 main:581] : INFO : Epoch 28 | loss: 0.0550315 | val_loss: 0.0550423 | Time: 3159.46 ms [2020-11-26 14:34:26 main:581] : INFO : Epoch 29 | loss: 0.0549837 | val_loss: 0.054951 | Time: 3011.94 ms [2020-11-26 14:34:29 main:581] : INFO : Epoch 30 | loss: 0.0548881 | val_loss: 0.0547817 | Time: 2994.72 ms [2020-11-26 14:34:32 main:581] : INFO : Epoch 31 | loss: 0.0548106 | val_loss: 0.0548077 | Time: 3289.54 ms [2020-11-26 14:34:35 main:581] : INFO : Epoch 32 | loss: 0.0548069 | val_loss: 0.0547381 | Time: 3147.37 ms [2020-11-26 14:34:38 main:581] : INFO : Epoch 33 | loss: 0.0547144 | val_loss: 0.0546815 | Time: 3159.22 ms [2020-11-26 14:34:42 main:581] : INFO : Epoch 34 | loss: 0.0547299 | val_loss: 0.0547953 | Time: 3250.71 ms [2020-11-26 14:34:45 main:581] : INFO : Epoch 35 | loss: 0.0547454 | val_loss: 0.0547708 | Time: 2972.05 ms [2020-11-26 14:34:49 main:581] : INFO : Epoch 36 | loss: 0.0548815 | val_loss: 0.0549313 | Time: 3913.89 ms [2020-11-26 14:34:52 main:581] : INFO : Epoch 37 | loss: 0.0548635 | val_loss: 0.0548575 | Time: 3057.28 ms [2020-11-26 14:34:55 main:581] : INFO : Epoch 38 | loss: 0.0548116 | val_loss: 0.054828 | Time: 3019.06 ms [2020-11-26 14:34:59 main:581] : INFO : Epoch 39 | loss: 0.0550351 | val_loss: 0.0550775 | Time: 4715.66 ms [2020-11-26 14:35:02 main:581] : INFO : Epoch 40 | loss: 0.0550917 | val_loss: 0.055057 | Time: 3108.01 ms [2020-11-26 14:35:06 main:581] : INFO : Epoch 41 | loss: 0.0551113 | val_loss: 0.0550152 | Time: 3178.64 ms [2020-11-26 14:35:09 main:581] : INFO : Epoch 42 | loss: 0.0549802 | val_loss: 0.0548658 | Time: 3025.97 ms [2020-11-26 14:35:12 main:581] : INFO : Epoch 43 | loss: 0.0548993 | val_loss: 0.0549164 | Time: 3233.01 ms [2020-11-26 14:35:15 main:581] : INFO : Epoch 44 | loss: 0.0548653 | val_loss: 0.0548199 | Time: 3034.2 ms [2020-11-26 14:35:18 main:581] : INFO : Epoch 45 | loss: 0.0548 | val_loss: 0.0548518 | Time: 2983.87 ms [2020-11-26 14:35:22 main:581] : INFO : Epoch 46 | loss: 0.0548028 | val_loss: 0.0547417 | Time: 4524.85 ms [2020-11-26 14:35:25 main:581] : INFO : Epoch 47 | loss: 0.05469 | val_loss: 0.0546042 | Time: 2960.84 ms [2020-11-26 14:35:29 main:581] : INFO : Epoch 48 | loss: 0.0546958 | val_loss: 0.0546245 | Time: 3149.79 ms [2020-11-26 14:35:32 main:581] : INFO : Epoch 49 | loss: 0.0545672 | val_loss: 0.0544276 | Time: 3013.74 ms [2020-11-26 14:35:35 main:581] : INFO : Epoch 50 | loss: 0.0543731 | val_loss: 0.0544493 | Time: 2960.4 ms [2020-11-26 14:35:38 main:581] : INFO : Epoch 51 | loss: 0.0545713 | val_loss: 0.0545286 | Time: 3091.92 ms [2020-11-26 14:35:41 main:581] : INFO : Epoch 52 | loss: 0.0544856 | val_loss: 0.054452 | Time: 3038.02 ms [2020-11-26 14:35:44 main:581] : INFO : Epoch 53 | loss: 0.054393 | val_loss: 0.0543547 | Time: 3587.56 ms [2020-11-26 14:35:48 main:581] : INFO : Epoch 54 | loss: 0.0543074 | val_loss: 0.0543073 | Time: 3605.12 ms [2020-11-26 14:35:51 main:581] : INFO : Epoch 55 | loss: 0.0542114 | val_loss: 0.0542142 | Time: 3029.81 ms [2020-11-26 14:35:54 main:581] : INFO : Epoch 56 | loss: 0.0541717 | val_loss: 0.0542147 | Time: 2975.64 ms [2020-11-26 14:35:57 main:581] : INFO : Epoch 57 | loss: 0.0540669 | val_loss: 0.054124 | Time: 2955.2 ms [2020-11-26 14:36:00 main:581] : INFO : Epoch 58 | loss: 0.0539471 | val_loss: 0.0539857 | Time: 2947.39 ms [2020-11-26 14:36:03 main:581] : INFO : Epoch 59 | loss: 0.0538143 | val_loss: 0.0538278 | Time: 2946.25 ms [2020-11-26 14:36:06 main:581] : INFO : Epoch 60 | loss: 0.05369 | val_loss: 0.0537462 | Time: 2996.06 ms [2020-11-26 14:36:09 main:581] : INFO : Epoch 61 | loss: 0.0536563 | val_loss: 0.0536859 | Time: 3045.09 ms [2020-11-26 14:36:12 main:581] : INFO : Epoch 62 | loss: 0.0536032 | val_loss: 0.0536774 | Time: 3004.34 ms [2020-11-26 14:36:15 main:581] : INFO : Epoch 63 | loss: 0.0536274 | val_loss: 0.0535944 | Time: 3670.58 ms [2020-11-26 14:36:18 main:581] : INFO : Epoch 64 | loss: 0.053504 | val_loss: 0.0534856 | Time: 3046.96 ms [2020-11-26 14:36:22 main:581] : INFO : Epoch 65 | loss: 0.0533254 | val_loss: 0.0533139 | Time: 3158.13 ms [2020-11-26 14:36:25 main:581] : INFO : Epoch 66 | loss: 0.0531922 | val_loss: 0.0532241 | Time: 3304.3 ms [2020-11-26 14:36:28 main:581] : INFO : Epoch 67 | loss: 0.0530264 | val_loss: 0.0530829 | Time: 3075.88 ms [2020-11-26 14:36:31 main:581] : INFO : Epoch 68 | loss: 0.0529336 | val_loss: 0.0530343 | Time: 3121.93 ms [2020-11-26 14:36:34 main:581] : INFO : Epoch 69 | loss: 0.0529175 | val_loss: 0.0529983 | Time: 3063.83 ms [2020-11-26 14:36:37 main:581] : INFO : Epoch 70 | loss: 0.0528804 | val_loss: 0.05289 | Time: 3072.69 ms [2020-11-26 14:36:40 main:581] : INFO : Epoch 71 | loss: 0.0526878 | val_loss: 0.0527091 | Time: 2979.46 ms [2020-11-26 14:36:43 main:581] : INFO : Epoch 72 | loss: 0.0527525 | val_loss: 0.052854 | Time: 3067.69 ms [2020-11-26 14:36:46 main:581] : INFO : Epoch 73 | loss: 0.0526492 | val_loss: 0.0526945 | Time: 2996.76 ms [2020-11-26 14:36:51 main:581] : INFO : Epoch 74 | loss: 0.0525085 | val_loss: 0.0525928 | Time: 4615.83 ms [2020-11-26 14:36:54 main:581] : INFO : Epoch 75 | loss: 0.0523601 | val_loss: 0.0524373 | Time: 3355.61 ms [2020-11-26 14:36:57 main:581] : INFO : Epoch 76 | loss: 0.0521695 | val_loss: 0.0522772 | Time: 2962.14 ms [2020-11-26 14:37:00 main:581] : INFO : Epoch 77 | loss: 0.0519623 | val_loss: 0.0520323 | Time: 3032.9 ms [2020-11-26 14:37:03 main:581] : INFO : Epoch 78 | loss: 0.0517582 | val_loss: 0.0519264 | Time: 3009.67 ms [2020-11-26 14:37:06 main:581] : INFO : Epoch 79 | loss: 0.0516998 | val_loss: 0.0518703 | Time: 2986.17 ms [2020-11-26 14:37:09 main:581] : INFO : Epoch 80 | loss: 0.0517588 | val_loss: 0.0518049 | Time: 3047.43 ms [2020-11-26 14:37:12 main:581] : INFO : Epoch 81 | loss: 0.0516811 | val_loss: 0.0516685 | Time: 2989 ms [2020-11-26 14:37:15 main:581] : INFO : Epoch 82 | loss: 0.0515347 | val_loss: 0.0516175 | Time: 3106.07 ms [2020-11-26 14:37:18 main:581] : INFO : Epoch 83 | loss: 0.0514533 | val_loss: 0.0515385 | Time: 2990.12 ms [2020-11-26 14:37:22 main:581] : INFO : Epoch 84 | loss: 0.0513146 | val_loss: 0.0514105 | Time: 3165.79 ms [2020-11-26 14:37:24 main:581] : INFO : Epoch 85 | loss: 0.0511319 | val_loss: 0.0511783 | Time: 2941.09 ms [2020-11-26 14:37:27 main:581] : INFO : Epoch 86 | loss: 0.0508994 | val_loss: 0.0509884 | Time: 2975.48 ms [2020-11-26 14:37:30 main:581] : INFO : Epoch 87 | loss: 0.0508602 | val_loss: 0.0509956 | Time: 2967.19 ms [2020-11-26 14:37:34 main:581] : INFO : Epoch 88 | loss: 0.0507557 | val_loss: 0.0509533 | Time: 3138.34 ms [2020-11-26 14:37:37 main:581] : INFO : Epoch 89 | loss: 0.050603 | val_loss: 0.0507524 | Time: 3146.44 ms [2020-11-26 14:37:40 main:581] : INFO : Epoch 90 | loss: 0.0503671 | val_loss: 0.0505225 | Time: 2998.97 ms [2020-11-26 14:37:43 main:581] : INFO : Epoch 91 | loss: 0.0502224 | val_loss: 0.0503816 | Time: 3006.73 ms [2020-11-26 14:37:46 main:581] : INFO : Epoch 92 | loss: 0.0500171 | val_loss: 0.0501444 | Time: 3036.37 ms [2020-11-26 14:37:49 main:581] : INFO : Epoch 93 | loss: 0.0497606 | val_loss: 0.0498435 | Time: 2987.64 ms [2020-11-26 14:37:52 main:581] : INFO : Epoch 94 | loss: 0.0494576 | val_loss: 0.0494898 | Time: 3115.93 ms [2020-11-26 14:37:55 main:581] : INFO : Epoch 95 | loss: 0.0492253 | val_loss: 0.0492409 | Time: 3010.02 ms [2020-11-26 14:37:58 main:581] : INFO : Epoch 96 | loss: 0.0490041 | val_loss: 0.0491305 | Time: 2997.4 ms [2020-11-26 14:38:01 main:581] : INFO : Epoch 97 | loss: 0.0489187 | val_loss: 0.049024 | Time: 2998.15 ms [2020-11-26 14:38:04 main:581] : INFO : Epoch 98 | loss: 0.0486772 | val_loss: 0.0486657 | Time: 3062.37 ms [2020-11-26 14:38:07 main:581] : INFO : Epoch 99 | loss: 0.0488149 | val_loss: 0.0493084 | Time: 3186.84 ms [2020-11-26 14:38:10 main:581] : INFO : Epoch 100 | loss: 0.0490238 | val_loss: 0.049022 | Time: 3077.61 ms [2020-11-26 14:38:13 main:581] : INFO : Epoch 101 | loss: 0.0485815 | val_loss: 0.0486136 | Time: 2943.54 ms [2020-11-26 14:38:16 main:581] : INFO : Epoch 102 | loss: 0.0483608 | val_loss: 0.0482212 | Time: 3064.39 ms [2020-11-26 14:38:19 main:581] : INFO : Epoch 103 | loss: 0.0480639 | val_loss: 0.048185 | Time: 3011.44 ms [2020-11-26 14:38:22 main:581] : INFO : Epoch 104 | loss: 0.0479782 | val_loss: 0.0483322 | Time: 2972.45 ms [2020-11-26 14:38:25 main:581] : INFO : Epoch 105 | loss: 0.048409 | val_loss: 0.0483758 | Time: 2976.3 ms [2020-11-26 14:38:28 main:581] : INFO : Epoch 106 | loss: 0.0481733 | val_loss: 0.048164 | Time: 3055.58 ms [2020-11-26 14:38:31 main:581] : INFO : Epoch 107 | loss: 0.0477728 | val_loss: 0.0477011 | Time: 3111.38 ms [2020-11-26 14:38:35 main:581] : INFO : Epoch 108 | loss: 0.0473143 | val_loss: 0.0473626 | Time: 3231.06 ms [2020-11-26 14:38:38 main:581] : INFO : Epoch 109 | loss: 0.0469685 | val_loss: 0.0470005 | Time: 3067.96 ms [2020-11-26 14:38:41 main:581] : INFO : Epoch 110 | loss: 0.0468337 | val_loss: 0.047238 | Time: 3045.31 ms [2020-11-26 14:38:44 main:581] : INFO : Epoch 111 | loss: 0.0469573 | val_loss: 0.046941 | Time: 3005.32 ms [2020-11-26 14:38:47 main:581] : INFO : Epoch 112 | loss: 0.0467695 | val_loss: 0.0468753 | Time: 2937.71 ms [2020-11-26 14:38:50 main:581] : INFO : Epoch 113 | loss: 0.0468048 | val_loss: 0.047361 | Time: 2938.04 ms [2020-11-26 14:38:53 main:581] : INFO : Epoch 114 | loss: 0.0471268 | val_loss: 0.0485617 | Time: 3026.17 ms [2020-11-26 14:38:56 main:581] : INFO : Epoch 115 | loss: 0.0481534 | val_loss: 0.0483236 | Time: 2957.54 ms [2020-11-26 14:38:59 main:581] : INFO : Epoch 116 | loss: 0.0478688 | val_loss: 0.0480616 | Time: 3001.26 ms [2020-11-26 14:39:02 main:581] : INFO : Epoch 117 | loss: 0.0476938 | val_loss: 0.0480902 | Time: 2960.82 ms [2020-11-26 14:39:04 main:581] : INFO : Epoch 118 | loss: 0.0479916 | val_loss: 0.0479444 | Time: 2964.56 ms [2020-11-26 14:39:07 main:581] : INFO : Epoch 119 | loss: 0.0476364 | val_loss: 0.0476834 | Time: 2950.86 ms [2020-11-26 14:39:10 main:581] : INFO : Epoch 120 | loss: 0.047483 | val_loss: 0.0475444 | Time: 2943.28 ms [2020-11-26 14:39:13 main:581] : INFO : Epoch 121 | loss: 0.0472671 | val_loss: 0.0472907 | Time: 2954.84 ms [2020-11-26 14:39:16 main:581] : INFO : Epoch 122 | loss: 0.0471975 | val_loss: 0.0473345 | Time: 2929.88 ms [2020-11-26 14:39:19 main:581] : INFO : Epoch 123 | loss: 0.0470929 | val_loss: 0.0470782 | Time: 2928.44 ms [2020-11-26 14:39:22 main:581] : INFO : Epoch 124 | loss: 0.0471637 | val_loss: 0.0470991 | Time: 3091.19 ms [2020-11-26 14:39:25 main:581] : INFO : Epoch 125 | loss: 0.0469276 | val_loss: 0.0469635 | Time: 2971.68 ms [2020-11-26 14:39:28 main:581] : INFO : Epoch 126 | loss: 0.0468911 | val_loss: 0.0468375 | Time: 2955.61 ms [2020-11-26 14:39:31 main:581] : INFO : Epoch 127 | loss: 0.0467362 | val_loss: 0.0470654 | Time: 2949.14 ms [2020-11-26 14:39:35 main:581] : INFO : Epoch 128 | loss: 0.0469529 | val_loss: 0.0470091 | Time: 3370.17 ms [2020-11-26 14:39:38 main:581] : INFO : Epoch 129 | loss: 0.0466846 | val_loss: 0.0466994 | Time: 3009.13 ms [2020-11-26 14:39:40 main:581] : INFO : Epoch 130 | loss: 0.0464595 | val_loss: 0.0466985 | Time: 2943.78 ms [2020-11-26 14:39:43 main:581] : INFO : Epoch 131 | loss: 0.0463747 | val_loss: 0.0465476 | Time: 2948.23 ms [2020-11-26 14:39:46 main:581] : INFO : Epoch 132 | loss: 0.0466704 | val_loss: 0.0467532 | Time: 2996.06 ms [2020-11-26 14:39:50 main:581] : INFO : Epoch 133 | loss: 0.0463986 | val_loss: 0.0465208 | Time: 3105.4 ms [2020-11-26 14:39:53 main:581] : INFO : Epoch 134 | loss: 0.0461961 | val_loss: 0.0462124 | Time: 2991.59 ms [2020-11-26 14:39:56 main:581] : INFO : Epoch 135 | loss: 0.0459304 | val_loss: 0.0460984 | Time: 2978.86 ms [2020-11-26 14:39:59 main:581] : INFO : Epoch 136 | loss: 0.0457749 | val_loss: 0.0461028 | Time: 3543.08 ms [2020-11-26 14:40:02 main:581] : INFO : Epoch 137 | loss: 0.0456523 | val_loss: 0.0457628 | Time: 3105.45 ms [2020-11-26 14:40:05 main:581] : INFO : Epoch 138 | loss: 0.0454278 | val_loss: 0.0454232 | Time: 2969.19 ms [2020-11-26 14:40:08 main:581] : INFO : Epoch 139 | loss: 0.0451266 | val_loss: 0.0453196 | Time: 3059.12 ms [2020-11-26 14:40:11 main:581] : INFO : Epoch 140 | loss: 0.0451239 | val_loss: 0.0451584 | Time: 3044.58 ms [2020-11-26 14:40:14 main:581] : INFO : Epoch 141 | loss: 0.0454813 | val_loss: 0.04654 | Time: 2968.32 ms [2020-11-26 14:40:17 main:581] : INFO : Epoch 142 | loss: 0.0463353 | val_loss: 0.0463879 | Time: 3188.54 ms [2020-11-26 14:40:20 main:581] : INFO : Epoch 143 | loss: 0.0460986 | val_loss: 0.0460993 | Time: 2990.46 ms [2020-11-26 14:40:23 main:581] : INFO : Epoch 144 | loss: 0.0458796 | val_loss: 0.0459347 | Time: 2990.29 ms [2020-11-26 14:40:26 main:581] : INFO : Epoch 145 | loss: 0.0461696 | val_loss: 0.047019 | Time: 3069.68 ms [2020-11-26 14:40:30 main:581] : INFO : Epoch 146 | loss: 0.0470479 | val_loss: 0.047285 | Time: 3204.07 ms [2020-11-26 14:40:33 main:581] : INFO : Epoch 147 | loss: 0.0471014 | val_loss: 0.0471166 | Time: 3210.3 ms [2020-11-26 14:40:36 main:581] : INFO : Epoch 148 | loss: 0.0470251 | val_loss: 0.047068 | Time: 3010.59 ms [2020-11-26 14:40:39 main:581] : INFO : Epoch 149 | loss: 0.0469164 | val_loss: 0.0470903 | Time: 3011.07 ms [2020-11-26 14:40:42 main:581] : INFO : Epoch 150 | loss: 0.0467109 | val_loss: 0.0468416 | Time: 2981.07 ms [2020-11-26 14:40:45 main:581] : INFO : Epoch 151 | loss: 0.0464846 | val_loss: 0.0467608 | Time: 3427 ms [2020-11-26 14:40:48 main:581] : INFO : Epoch 152 | loss: 0.0463216 | val_loss: 0.046647 | Time: 3084.46 ms [2020-11-26 14:40:51 main:581] : INFO : Epoch 153 | loss: 0.0463344 | val_loss: 0.0467683 | Time: 2983.93 ms [2020-11-26 14:40:54 main:581] : INFO : Epoch 154 | loss: 0.0465397 | val_loss: 0.0467582 | Time: 3005.68 ms [2020-11-26 14:40:57 main:581] : INFO : Epoch 155 | loss: 0.0465157 | val_loss: 0.0471566 | Time: 3046.33 ms [2020-11-26 14:41:01 main:581] : INFO : Epoch 156 | loss: 0.046732 | val_loss: 0.0470584 | Time: 3230.74 ms [2020-11-26 14:41:04 main:581] : INFO : Epoch 157 | loss: 0.0470879 | val_loss: 0.0474081 | Time: 3104.05 ms [2020-11-26 14:41:07 main:581] : INFO : Epoch 158 | loss: 0.0469708 | val_loss: 0.047251 | Time: 3012.47 ms [2020-11-26 14:41:10 main:581] : INFO : Epoch 159 | loss: 0.0467544 | val_loss: 0.0471317 | Time: 2960.4 ms [2020-11-26 14:41:13 main:581] : INFO : Epoch 160 | loss: 0.0466567 | val_loss: 0.0470636 | Time: 3603.25 ms [2020-11-26 14:41:17 main:581] : INFO : Epoch 161 | loss: 0.0465304 | val_loss: 0.0469561 | Time: 3426.37 ms [2020-11-26 14:41:20 main:581] : INFO : Epoch 162 | loss: 0.0463754 | val_loss: 0.0468976 | Time: 3431.51 ms [2020-11-26 14:41:23 main:581] : INFO : Epoch 163 | loss: 0.0463142 | val_loss: 0.0468972 | Time: 2973 ms [2020-11-26 14:41:26 main:581] : INFO : Epoch 164 | loss: 0.0464935 | val_loss: 0.0468868 | Time: 3259.94 ms [2020-11-26 14:41:30 main:581] : INFO : Epoch 165 | loss: 0.0463657 | val_loss: 0.0465754 | Time: 3126.17 ms [2020-11-26 14:41:33 main:581] : INFO : Epoch 166 | loss: 0.0463217 | val_loss: 0.0467126 | Time: 3022.92 ms [2020-11-26 14:41:36 main:581] : INFO : Epoch 167 | loss: 0.0464384 | val_loss: 0.0466825 | Time: 3092.66 ms [2020-11-26 14:41:39 main:581] : INFO : Epoch 168 | loss: 0.0462959 | val_loss: 0.0465728 | Time: 3018.07 ms [2020-11-26 14:41:42 main:581] : INFO : Epoch 169 | loss: 0.0462729 | val_loss: 0.0467252 | Time: 3050.44 ms [2020-11-26 14:41:45 main:581] : INFO : Epoch 170 | loss: 0.0461752 | val_loss: 0.0464771 | Time: 3016.28 ms [2020-11-26 14:41:48 main:581] : INFO : Epoch 171 | loss: 0.0464396 | val_loss: 0.0469359 | Time: 3077.82 ms [2020-11-26 14:41:51 main:581] : INFO : Epoch 172 | loss: 0.0465683 | val_loss: 0.0468437 | Time: 3120.95 ms [2020-11-26 14:41:54 main:581] : INFO : Epoch 173 | loss: 0.0466028 | val_loss: 0.0466619 | Time: 3002.37 ms [2020-11-26 14:41:57 main:581] : INFO : Epoch 174 | loss: 0.0475361 | val_loss: 0.0487036 | Time: 3039.91 ms [2020-11-26 14:42:00 main:581] : INFO : Epoch 175 | loss: 0.0484425 | val_loss: 0.0485908 | Time: 3119.81 ms [2020-11-26 14:42:03 main:581] : INFO : Epoch 176 | loss: 0.0482743 | val_loss: 0.0485071 | Time: 3288.13 ms [2020-11-26 14:42:06 main:581] : INFO : Epoch 177 | loss: 0.0481933 | val_loss: 0.048404 | Time: 3038.92 ms [2020-11-26 14:42:09 main:581] : INFO : Epoch 178 | loss: 0.0480897 | val_loss: 0.0482925 | Time: 3068.05 ms [2020-11-26 14:42:13 main:581] : INFO : Epoch 179 | loss: 0.0480515 | val_loss: 0.0482533 | Time: 3042.83 ms [2020-11-26 14:42:16 main:581] : INFO : Epoch 180 | loss: 0.0480376 | val_loss: 0.0483087 | Time: 3111.45 ms [2020-11-26 14:42:19 main:581] : INFO : Epoch 181 | loss: 0.0479674 | val_loss: 0.0482135 | Time: 3007.23 ms [2020-11-26 14:42:22 main:581] : INFO : Epoch 182 | loss: 0.0478129 | val_loss: 0.0479491 | Time: 2969.37 ms [2020-11-26 14:42:25 main:581] : INFO : Epoch 183 | loss: 0.047668 | val_loss: 0.0479927 | Time: 2960.44 ms [2020-11-26 14:42:28 main:581] : INFO : Epoch 184 | loss: 0.047589 | val_loss: 0.0476938 | Time: 3186.13 ms [2020-11-26 14:42:31 main:581] : INFO : Epoch 185 | loss: 0.0472761 | val_loss: 0.0477711 | Time: 3267.25 ms [2020-11-26 14:42:34 main:581] : INFO : Epoch 186 | loss: 0.0474294 | val_loss: 0.0485249 | Time: 3048.05 ms [2020-11-26 14:42:37 main:581] : INFO : Epoch 187 | loss: 0.0494974 | val_loss: 0.0495405 | Time: 2983.67 ms [2020-11-26 14:42:40 main:581] : INFO : Epoch 188 | loss: 0.0493179 | val_loss: 0.0493229 | Time: 3031.21 ms [2020-11-26 14:42:43 main:581] : INFO : Epoch 189 | loss: 0.0492357 | val_loss: 0.0493022 | Time: 3032.12 ms [2020-11-26 14:42:47 main:581] : INFO : Epoch 190 | loss: 0.0489777 | val_loss: 0.0489987 | Time: 3959.61 ms [2020-11-26 14:42:50 main:581] : INFO : Epoch 191 | loss: 0.0487988 | val_loss: 0.0489367 | Time: 3025.46 ms [2020-11-26 14:42:54 main:581] : INFO : Epoch 192 | loss: 0.0488668 | val_loss: 0.0489428 | Time: 3638.75 ms [2020-11-26 14:42:54 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0489428 [2020-11-26 14:42:54 main:610] : INFO : Saving end state to config to file [2020-11-26 14:42:54 main:615] : INFO : Success, exiting.. 14:42:54 (15107): 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)