| Name | rand_automata_0042-1604947293-15725-1_1 |
| Workunit | 1264783 |
| Created | 10 Nov 2020, 5:55:37 UTC |
| Sent | 10 Nov 2020, 6:02:35 UTC |
| Report deadline | 17 Nov 2020, 6:02:35 UTC |
| Received | 11 Nov 2020, 2:50:01 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 563 |
| Run time | 26 min 37 sec |
| CPU time | 24 min 17 sec |
| Validate state | Valid |
| Credit | 959.40 |
| Device peak FLOPS | 5,442.60 GFLOPS |
| Application version | Machine Learning Dataset Generator (test) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 1.96 GB |
| Peak swap size | 3.88 GB |
| Peak disk usage | 1.54 GB |
<core_client_version>7.16.5</core_client_version> <![CDATA[ <stderr_txt> Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: GeForce GTX 1660 Ti) [2020-11-11 03:23:28 main:435] : INFO : Set logging level to 1 [2020-11-11 03:23:28 main:441] : INFO : Running in BOINC Client mode [2020-11-11 03:23:28 main:444] : INFO : Resolving all filenames [2020-11-11 03:23:28 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0042-train-val-dataset.hdf5 (exists = 1) [2020-11-11 03:23:28 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0042-1604947293-15725-1_1_r67571406_1 (exists = 0) [2020-11-11 03:23:28 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0042-1604947293-15725-1_1_r67571406_0 (exists = 0) [2020-11-11 03:23:28 main:452] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0042-1604947293-15725-1 (exists = 1) [2020-11-11 03:23:28 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-11 03:23:28 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0042-train-val-dataset.hdf5 [2020-11-11 03:23:28 main:474] : INFO : Configuration: [2020-11-11 03:23:28 main:475] : INFO : Model type: LSTM [2020-11-11 03:23:28 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-11 03:23:29 main:477] : INFO : Max Epochs: 192 [2020-11-11 03:23:29 main:478] : INFO : Batch Size: 32 [2020-11-11 03:23:29 main:479] : INFO : Learning Rate: 0.001 [2020-11-11 03:23:29 main:480] : INFO : Patience: 10 [2020-11-11 03:23:29 main:481] : INFO : Hidden Width: 64 [2020-11-11 03:23:30 main:482] : INFO : # Recurrent Layers: 4 [2020-11-11 03:23:30 main:483] : INFO : # Backend Layers: 2 [2020-11-11 03:23:30 main:484] : INFO : # Threads: 1 [2020-11-11 03:23:30 main:486] : INFO : Preparing Dataset [2020-11-11 03:23:30 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0042-train-val-dataset.hdf5 into memory [2020-11-11 03:23:30 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0042-train-val-dataset.hdf5 into memory [2020-11-11 03:23:32 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-11 03:23:32 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0042-train-val-dataset.hdf5 into memory [2020-11-11 03:23:32 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0042-train-val-dataset.hdf5 into memory [2020-11-11 03:23:32 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-11 03:23:32 main:494] : INFO : Creating Model [2020-11-11 03:23:32 main:507] : INFO : Preparing config file [2020-11-11 03:23:32 main:519] : INFO : Creating new config file [2020-11-11 03:23:32 main:538] : INFO : This is a continuation WU, loading previous network [2020-11-11 03:23:34 main:559] : INFO : Loading DataLoader into Memory [2020-11-11 03:23:38 main:562] : INFO : Starting Training [2020-11-11 03:23:46 main:574] : INFO : Epoch 1 | loss: 0.000289173 | val_loss: 0.000276429 | Time: 7877.7 ms [2020-11-11 03:23:53 main:574] : INFO : Epoch 2 | loss: 0.000256438 | val_loss: 0.00025958 | Time: 7454.7 ms [2020-11-11 03:24:01 main:574] : INFO : Epoch 3 | loss: 0.000240241 | val_loss: 0.000242189 | Time: 7417.66 ms [2020-11-11 03:24:09 main:574] : INFO : Epoch 4 | loss: 0.000225491 | val_loss: 0.000228012 | Time: 8134.65 ms [2020-11-11 03:24:17 main:574] : INFO : Epoch 5 | loss: 0.000211007 | val_loss: 0.000214449 | Time: 7943.44 ms [2020-11-11 03:24:25 main:574] : INFO : Epoch 6 | loss: 0.000198661 | val_loss: 0.000202463 | Time: 8105.77 ms [2020-11-11 03:24:33 main:574] : INFO : Epoch 7 | loss: 0.00018691 | val_loss: 0.000191433 | Time: 7772.18 ms [2020-11-11 03:24:41 main:574] : INFO : Epoch 8 | loss: 0.000176834 | val_loss: 0.000182666 | Time: 8142.9 ms [2020-11-11 03:24:49 main:574] : INFO : Epoch 9 | loss: 0.000167517 | val_loss: 0.000171679 | Time: 8161.41 ms [2020-11-11 03:24:58 main:574] : INFO : Epoch 10 | loss: 0.000158944 | val_loss: 0.00016339 | Time: 8569.04 ms [2020-11-11 03:25:06 main:574] : INFO : Epoch 11 | loss: 0.000150736 | val_loss: 0.000153722 | Time: 8274.7 ms [2020-11-11 03:25:15 main:574] : INFO : Epoch 12 | loss: 0.00014387 | val_loss: 0.000147717 | Time: 8661.12 ms [2020-11-11 03:25:23 main:574] : INFO : Epoch 13 | loss: 0.00013701 | val_loss: 0.000140871 | Time: 7958.75 ms [2020-11-11 03:25:31 main:574] : INFO : Epoch 14 | loss: 0.000131038 | val_loss: 0.000134569 | Time: 8139.44 ms [2020-11-11 03:25:40 main:574] : INFO : Epoch 15 | loss: 0.000125391 | val_loss: 0.000128746 | Time: 8470.44 ms [2020-11-11 03:25:48 main:574] : INFO : Epoch 16 | loss: 0.00012004 | val_loss: 0.000123694 | Time: 8175.29 ms [2020-11-11 03:25:57 main:574] : INFO : Epoch 17 | loss: 0.000115387 | val_loss: 0.000118666 | Time: 8309.14 ms [2020-11-11 03:26:05 main:574] : INFO : Epoch 18 | loss: 0.00011094 | val_loss: 0.000114782 | Time: 8312.24 ms [2020-11-11 03:26:13 main:574] : INFO : Epoch 19 | loss: 0.000106747 | val_loss: 0.000109532 | Time: 8403.89 ms [2020-11-11 03:26:22 main:574] : INFO : Epoch 20 | loss: 0.000102734 | val_loss: 0.000105775 | Time: 8243.97 ms [2020-11-11 03:26:30 main:574] : INFO : Epoch 21 | loss: 9.91678e-05 | val_loss: 0.000102316 | Time: 8318.98 ms [2020-11-11 03:26:39 main:574] : INFO : Epoch 22 | loss: 9.55125e-05 | val_loss: 9.94063e-05 | Time: 8376.63 ms [2020-11-11 03:26:47 main:574] : INFO : Epoch 23 | loss: 9.23092e-05 | val_loss: 9.51328e-05 | Time: 8301.21 ms [2020-11-11 03:26:55 main:574] : INFO : Epoch 24 | loss: 8.92316e-05 | val_loss: 9.31608e-05 | Time: 8381.07 ms [2020-11-11 03:27:03 main:574] : INFO : Epoch 25 | loss: 8.63321e-05 | val_loss: 8.96198e-05 | Time: 7999.2 ms [2020-11-11 03:27:11 main:574] : INFO : Epoch 26 | loss: 8.35063e-05 | val_loss: 8.67892e-05 | Time: 7767.06 ms [2020-11-11 03:27:20 main:574] : INFO : Epoch 27 | loss: 8.08251e-05 | val_loss: 8.57159e-05 | Time: 8709.73 ms [2020-11-11 03:27:29 main:574] : INFO : Epoch 28 | loss: 7.85115e-05 | val_loss: 8.33743e-05 | Time: 8582.64 ms [2020-11-11 03:27:37 main:574] : INFO : Epoch 29 | loss: 7.62821e-05 | val_loss: 7.93611e-05 | Time: 8132.51 ms [2020-11-11 03:27:45 main:574] : INFO : Epoch 30 | loss: 7.39931e-05 | val_loss: 7.88606e-05 | Time: 8115.75 ms [2020-11-11 03:27:53 main:574] : INFO : Epoch 31 | loss: 7.17809e-05 | val_loss: 7.47447e-05 | Time: 7782.83 ms [2020-11-11 03:28:02 main:574] : INFO : Epoch 32 | loss: 6.98923e-05 | val_loss: 7.31912e-05 | Time: 8199.78 ms [2020-11-11 03:28:10 main:574] : INFO : Epoch 33 | loss: 6.79913e-05 | val_loss: 7.18863e-05 | Time: 8049.38 ms [2020-11-11 03:28:18 main:574] : INFO : Epoch 34 | loss: 6.60715e-05 | val_loss: 6.9247e-05 | Time: 8388.97 ms [2020-11-11 03:28:26 main:574] : INFO : Epoch 35 | loss: 6.45461e-05 | val_loss: 6.77846e-05 | Time: 8093.99 ms [2020-11-11 03:28:35 main:574] : INFO : Epoch 36 | loss: 6.29508e-05 | val_loss: 6.59109e-05 | Time: 8154.31 ms [2020-11-11 03:28:43 main:574] : INFO : Epoch 37 | loss: 6.15085e-05 | val_loss: 6.46922e-05 | Time: 8069.21 ms [2020-11-11 03:28:52 main:574] : INFO : Epoch 38 | loss: 6.01126e-05 | val_loss: 6.337e-05 | Time: 8614.66 ms [2020-11-11 03:29:00 main:574] : INFO : Epoch 39 | loss: 5.85672e-05 | val_loss: 6.24653e-05 | Time: 8674.9 ms [2020-11-11 03:29:08 main:574] : INFO : Epoch 40 | loss: 5.70865e-05 | val_loss: 5.95366e-05 | Time: 7996.51 ms [2020-11-11 03:29:16 main:574] : INFO : Epoch 41 | loss: 5.56708e-05 | val_loss: 6.02227e-05 | Time: 7928.8 ms [2020-11-11 03:29:25 main:574] : INFO : Epoch 42 | loss: 5.45185e-05 | val_loss: 5.75698e-05 | Time: 8189.91 ms [2020-11-11 03:29:33 main:574] : INFO : Epoch 43 | loss: 5.33776e-05 | val_loss: 5.6608e-05 | Time: 7950.76 ms [2020-11-11 03:29:41 main:574] : INFO : Epoch 44 | loss: 5.2043e-05 | val_loss: 5.47342e-05 | Time: 8119.76 ms [2020-11-11 03:29:49 main:574] : INFO : Epoch 45 | loss: 5.08383e-05 | val_loss: 5.40306e-05 | Time: 7665.64 ms [2020-11-11 03:29:57 main:574] : INFO : Epoch 46 | loss: 5.0066e-05 | val_loss: 5.35614e-05 | Time: 8113.24 ms [2020-11-11 03:30:05 main:574] : INFO : Epoch 47 | loss: 4.90333e-05 | val_loss: 5.18736e-05 | Time: 7985.8 ms [2020-11-11 03:30:13 main:574] : INFO : Epoch 48 | loss: 4.80752e-05 | val_loss: 5.0472e-05 | Time: 7877.26 ms [2020-11-11 03:30:22 main:574] : INFO : Epoch 49 | loss: 4.72548e-05 | val_loss: 4.99098e-05 | Time: 8374.55 ms [2020-11-11 03:30:30 main:574] : INFO : Epoch 50 | loss: 4.60315e-05 | val_loss: 4.93661e-05 | Time: 8031.24 ms [2020-11-11 03:30:38 main:574] : INFO : Epoch 51 | loss: 4.55648e-05 | val_loss: 4.85097e-05 | Time: 8052.53 ms [2020-11-11 03:30:46 main:574] : INFO : Epoch 52 | loss: 4.4258e-05 | val_loss: 4.61646e-05 | Time: 8063.1 ms [2020-11-11 03:30:54 main:574] : INFO : Epoch 53 | loss: 4.33646e-05 | val_loss: 4.58906e-05 | Time: 7979.35 ms [2020-11-11 03:31:02 main:574] : INFO : Epoch 54 | loss: 4.27412e-05 | val_loss: 4.52656e-05 | Time: 7806.05 ms [2020-11-11 03:31:10 main:574] : INFO : Epoch 55 | loss: 4.21497e-05 | val_loss: 4.37713e-05 | Time: 7680.52 ms [2020-11-11 03:31:19 main:574] : INFO : Epoch 56 | loss: 4.11452e-05 | val_loss: 4.56224e-05 | Time: 8526.63 ms [2020-11-11 03:31:27 main:574] : INFO : Epoch 57 | loss: 4.10406e-05 | val_loss: 4.32119e-05 | Time: 8111.7 ms [2020-11-11 03:31:35 main:574] : INFO : Epoch 58 | loss: 3.98257e-05 | val_loss: 4.3273e-05 | Time: 8110.97 ms [2020-11-11 03:31:43 main:574] : INFO : Epoch 59 | loss: 3.93269e-05 | val_loss: 4.13181e-05 | Time: 7612.09 ms [2020-11-11 03:31:50 main:574] : INFO : Epoch 60 | loss: 3.86968e-05 | val_loss: 4.16954e-05 | Time: 7565.05 ms [2020-11-11 03:31:58 main:574] : INFO : Epoch 61 | loss: 3.79639e-05 | val_loss: 4.26316e-05 | Time: 7818.88 ms [2020-11-11 03:32:07 main:574] : INFO : Epoch 62 | loss: 3.74501e-05 | val_loss: 3.97096e-05 | Time: 8246.96 ms [2020-11-11 03:32:15 main:574] : INFO : Epoch 63 | loss: 3.70258e-05 | val_loss: 3.89046e-05 | Time: 8114.23 ms [2020-11-11 03:32:23 main:574] : INFO : Epoch 64 | loss: 3.61505e-05 | val_loss: 3.86465e-05 | Time: 8247.34 ms [2020-11-11 03:32:31 main:574] : INFO : Epoch 65 | loss: 3.57855e-05 | val_loss: 3.83292e-05 | Time: 8114.87 ms [2020-11-11 03:32:39 main:574] : INFO : Epoch 66 | loss: 3.49825e-05 | val_loss: 3.69438e-05 | Time: 8063.75 ms [2020-11-11 03:32:47 main:574] : INFO : Epoch 67 | loss: 3.45468e-05 | val_loss: 3.74618e-05 | Time: 7526.62 ms [2020-11-11 03:32:55 main:574] : INFO : Epoch 68 | loss: 3.41984e-05 | val_loss: 3.61287e-05 | Time: 7569.86 ms [2020-11-11 03:33:02 main:574] : INFO : Epoch 69 | loss: 3.36196e-05 | val_loss: 3.60935e-05 | Time: 7607.12 ms [2020-11-11 03:33:10 main:574] : INFO : Epoch 70 | loss: 3.32963e-05 | val_loss: 3.59298e-05 | Time: 7503.6 ms [2020-11-11 03:33:17 main:574] : INFO : Epoch 71 | loss: 3.29502e-05 | val_loss: 3.47743e-05 | Time: 7440.41 ms [2020-11-11 03:33:25 main:574] : INFO : Epoch 72 | loss: 3.22663e-05 | val_loss: 3.39039e-05 | Time: 7322.7 ms [2020-11-11 03:33:32 main:574] : INFO : Epoch 73 | loss: 3.18623e-05 | val_loss: 3.42414e-05 | Time: 7384.92 ms [2020-11-11 03:33:40 main:574] : INFO : Epoch 74 | loss: 3.15196e-05 | val_loss: 3.41693e-05 | Time: 7541.41 ms [2020-11-11 03:33:47 main:574] : INFO : Epoch 75 | loss: 3.09863e-05 | val_loss: 3.35316e-05 | Time: 7409.52 ms [2020-11-11 03:33:55 main:574] : INFO : Epoch 76 | loss: 3.04666e-05 | val_loss: 3.34764e-05 | Time: 7385.64 ms [2020-11-11 03:34:02 main:574] : INFO : Epoch 77 | loss: 3.0266e-05 | val_loss: 3.17874e-05 | Time: 7310.12 ms [2020-11-11 03:34:09 main:574] : INFO : Epoch 78 | loss: 2.98256e-05 | val_loss: 3.26961e-05 | Time: 7288.6 ms [2020-11-11 03:34:17 main:574] : INFO : Epoch 79 | loss: 2.93457e-05 | val_loss: 3.18299e-05 | Time: 7426.66 ms [2020-11-11 03:34:26 main:574] : INFO : Epoch 80 | loss: 2.88752e-05 | val_loss: 3.0659e-05 | Time: 8316.36 ms [2020-11-11 03:34:34 main:574] : INFO : Epoch 81 | loss: 2.86827e-05 | val_loss: 3.1181e-05 | Time: 8381.41 ms [2020-11-11 03:34:42 main:574] : INFO : Epoch 82 | loss: 2.82229e-05 | val_loss: 2.98878e-05 | Time: 7939.16 ms [2020-11-11 03:34:50 main:574] : INFO : Epoch 83 | loss: 2.8121e-05 | val_loss: 3.10121e-05 | Time: 7865.01 ms [2020-11-11 03:34:58 main:574] : INFO : Epoch 84 | loss: 2.78238e-05 | val_loss: 3.02197e-05 | Time: 8208.79 ms [2020-11-11 03:35:06 main:574] : INFO : Epoch 85 | loss: 2.7491e-05 | val_loss: 2.92924e-05 | Time: 7939.05 ms [2020-11-11 03:35:14 main:574] : INFO : Epoch 86 | loss: 2.71357e-05 | val_loss: 2.8544e-05 | Time: 7855.58 ms [2020-11-11 03:35:23 main:574] : INFO : Epoch 87 | loss: 2.65569e-05 | val_loss: 2.84966e-05 | Time: 8494.03 ms [2020-11-11 03:35:31 main:574] : INFO : Epoch 88 | loss: 2.64246e-05 | val_loss: 2.8466e-05 | Time: 8185.15 ms [2020-11-11 03:35:39 main:574] : INFO : Epoch 89 | loss: 2.61496e-05 | val_loss: 2.92593e-05 | Time: 7746.32 ms [2020-11-11 03:35:48 main:574] : INFO : Epoch 90 | loss: 2.60262e-05 | val_loss: 2.77118e-05 | Time: 8447.35 ms [2020-11-11 03:35:56 main:574] : INFO : Epoch 91 | loss: 2.55223e-05 | val_loss: 2.72648e-05 | Time: 8382.13 ms [2020-11-11 03:36:04 main:574] : INFO : Epoch 92 | loss: 2.5181e-05 | val_loss: 2.65116e-05 | Time: 8187.24 ms [2020-11-11 03:36:13 main:574] : INFO : Epoch 93 | loss: 2.50749e-05 | val_loss: 2.63738e-05 | Time: 8090.77 ms [2020-11-11 03:36:21 main:574] : INFO : Epoch 94 | loss: 2.4493e-05 | val_loss: 2.69837e-05 | Time: 8216.69 ms [2020-11-11 03:36:29 main:574] : INFO : Epoch 95 | loss: 2.46548e-05 | val_loss: 2.62663e-05 | Time: 7648.74 ms [2020-11-11 03:36:37 main:574] : INFO : Epoch 96 | loss: 2.43448e-05 | val_loss: 2.61851e-05 | Time: 8146.93 ms [2020-11-11 03:36:45 main:574] : INFO : Epoch 97 | loss: 2.38729e-05 | val_loss: 2.5925e-05 | Time: 8087.17 ms [2020-11-11 03:36:53 main:574] : INFO : Epoch 98 | loss: 2.39353e-05 | val_loss: 2.53509e-05 | Time: 7783.7 ms [2020-11-11 03:37:01 main:574] : INFO : Epoch 99 | loss: 2.31704e-05 | val_loss: 2.52229e-05 | Time: 7888.31 ms [2020-11-11 03:37:09 main:574] : INFO : Epoch 100 | loss: 2.34079e-05 | val_loss: 2.43321e-05 | Time: 8495.2 ms [2020-11-11 03:37:17 main:574] : INFO : Epoch 101 | loss: 2.26939e-05 | val_loss: 2.45189e-05 | Time: 8117.98 ms [2020-11-11 03:37:26 main:574] : INFO : Epoch 102 | loss: 2.27557e-05 | val_loss: 2.63972e-05 | Time: 8172.57 ms [2020-11-11 03:37:34 main:574] : INFO : Epoch 103 | loss: 2.3046e-05 | val_loss: 2.38683e-05 | Time: 7834.99 ms [2020-11-11 03:37:42 main:574] : INFO : Epoch 104 | loss: 2.22605e-05 | val_loss: 2.39457e-05 | Time: 8338.09 ms [2020-11-11 03:37:50 main:574] : INFO : Epoch 105 | loss: 2.21842e-05 | val_loss: 2.36394e-05 | Time: 8154.95 ms [2020-11-11 03:37:59 main:574] : INFO : Epoch 106 | loss: 2.17537e-05 | val_loss: 2.39351e-05 | Time: 8689.37 ms [2020-11-11 03:38:08 main:574] : INFO : Epoch 107 | loss: 2.1761e-05 | val_loss: 2.31837e-05 | Time: 8497.1 ms [2020-11-11 03:38:16 main:574] : INFO : Epoch 108 | loss: 2.13438e-05 | val_loss: 2.3239e-05 | Time: 8085.98 ms [2020-11-11 03:38:24 main:574] : INFO : Epoch 109 | loss: 2.12568e-05 | val_loss: 2.28302e-05 | Time: 8153.01 ms [2020-11-11 03:38:33 main:574] : INFO : Epoch 110 | loss: 2.11505e-05 | val_loss: 2.29042e-05 | Time: 8334.55 ms [2020-11-11 03:38:41 main:574] : INFO : Epoch 111 | loss: 2.11479e-05 | val_loss: 2.29384e-05 | Time: 8184.99 ms [2020-11-11 03:38:49 main:574] : INFO : Epoch 112 | loss: 2.10976e-05 | val_loss: 2.25085e-05 | Time: 8453.71 ms [2020-11-11 03:38:58 main:574] : INFO : Epoch 113 | loss: 2.03992e-05 | val_loss: 2.19844e-05 | Time: 8635.55 ms [2020-11-11 03:39:06 main:574] : INFO : Epoch 114 | loss: 2.04176e-05 | val_loss: 2.17013e-05 | Time: 8353.02 ms [2020-11-11 03:39:14 main:574] : INFO : Epoch 115 | loss: 2.04043e-05 | val_loss: 2.13605e-05 | Time: 7742.81 ms [2020-11-11 03:39:22 main:574] : INFO : Epoch 116 | loss: 2.01033e-05 | val_loss: 2.17722e-05 | Time: 7846.61 ms [2020-11-11 03:39:30 main:574] : INFO : Epoch 117 | loss: 2.00583e-05 | val_loss: 2.21821e-05 | Time: 8140.84 ms [2020-11-11 03:39:39 main:574] : INFO : Epoch 118 | loss: 1.96184e-05 | val_loss: 2.12788e-05 | Time: 8323.5 ms [2020-11-11 03:39:47 main:574] : INFO : Epoch 119 | loss: 1.96189e-05 | val_loss: 2.08343e-05 | Time: 8151.74 ms [2020-11-11 03:39:55 main:574] : INFO : Epoch 120 | loss: 1.95093e-05 | val_loss: 2.06717e-05 | Time: 7936.75 ms [2020-11-11 03:40:03 main:574] : INFO : Epoch 121 | loss: 1.93552e-05 | val_loss: 2.0843e-05 | Time: 8321.52 ms [2020-11-11 03:40:11 main:574] : INFO : Epoch 122 | loss: 1.89175e-05 | val_loss: 2.06876e-05 | Time: 7935.85 ms [2020-11-11 03:40:20 main:574] : INFO : Epoch 123 | loss: 1.8916e-05 | val_loss: 2.03924e-05 | Time: 8169.4 ms [2020-11-11 03:40:28 main:574] : INFO : Epoch 124 | loss: 1.89016e-05 | val_loss: 2.01254e-05 | Time: 8683.26 ms [2020-11-11 03:40:37 main:574] : INFO : Epoch 125 | loss: 1.85589e-05 | val_loss: 2.05289e-05 | Time: 8153.39 ms [2020-11-11 03:40:45 main:574] : INFO : Epoch 126 | loss: 1.83998e-05 | val_loss: 1.95763e-05 | Time: 8825.01 ms [2020-11-11 03:40:54 main:574] : INFO : Epoch 127 | loss: 1.8397e-05 | val_loss: 1.98229e-05 | Time: 8225.39 ms [2020-11-11 03:41:02 main:574] : INFO : Epoch 128 | loss: 1.82104e-05 | val_loss: 2.06171e-05 | Time: 8122.99 ms [2020-11-11 03:41:10 main:574] : INFO : Epoch 129 | loss: 1.8113e-05 | val_loss: 1.99526e-05 | Time: 8047.66 ms [2020-11-11 03:41:19 main:574] : INFO : Epoch 130 | loss: 1.78478e-05 | val_loss: 1.90001e-05 | Time: 8649.97 ms [2020-11-11 03:41:27 main:574] : INFO : Epoch 131 | loss: 1.79487e-05 | val_loss: 1.96136e-05 | Time: 7975.4 ms [2020-11-11 03:41:35 main:574] : INFO : Epoch 132 | loss: 1.8002e-05 | val_loss: 1.92152e-05 | Time: 7862.27 ms [2020-11-11 03:41:43 main:574] : INFO : Epoch 133 | loss: 1.73801e-05 | val_loss: 1.87315e-05 | Time: 7801.38 ms [2020-11-11 03:41:51 main:574] : INFO : Epoch 134 | loss: 1.72385e-05 | val_loss: 1.89144e-05 | Time: 8167.85 ms [2020-11-11 03:41:59 main:574] : INFO : Epoch 135 | loss: 1.74637e-05 | val_loss: 1.85813e-05 | Time: 8004.84 ms [2020-11-11 03:42:08 main:574] : INFO : Epoch 136 | loss: 1.71984e-05 | val_loss: 2.04008e-05 | Time: 8617.56 ms [2020-11-11 03:42:16 main:574] : INFO : Epoch 137 | loss: 1.71883e-05 | val_loss: 1.82888e-05 | Time: 7953.38 ms [2020-11-11 03:42:24 main:574] : INFO : Epoch 138 | loss: 1.71088e-05 | val_loss: 1.85565e-05 | Time: 8080.17 ms [2020-11-11 03:42:32 main:574] : INFO : Epoch 139 | loss: 1.69224e-05 | val_loss: 1.82965e-05 | Time: 7925.43 ms [2020-11-11 03:42:41 main:574] : INFO : Epoch 140 | loss: 1.67469e-05 | val_loss: 1.85641e-05 | Time: 8540.6 ms [2020-11-11 03:42:49 main:574] : INFO : Epoch 141 | loss: 1.66903e-05 | val_loss: 1.8158e-05 | Time: 8230.12 ms [2020-11-11 03:42:57 main:574] : INFO : Epoch 142 | loss: 1.68998e-05 | val_loss: 1.75648e-05 | Time: 7617.04 ms [2020-11-11 03:43:05 main:574] : INFO : Epoch 143 | loss: 1.59381e-05 | val_loss: 1.76586e-05 | Time: 8011.7 ms [2020-11-11 03:43:12 main:574] : INFO : Epoch 144 | loss: 1.60391e-05 | val_loss: 1.76682e-05 | Time: 7504.3 ms [2020-11-11 03:43:20 main:574] : INFO : Epoch 145 | loss: 1.63656e-05 | val_loss: 1.75975e-05 | Time: 7520.06 ms [2020-11-11 03:43:27 main:574] : INFO : Epoch 146 | loss: 1.58701e-05 | val_loss: 1.70354e-05 | Time: 7466.66 ms [2020-11-11 03:43:35 main:574] : INFO : Epoch 147 | loss: 1.60385e-05 | val_loss: 1.69229e-05 | Time: 7276.24 ms [2020-11-11 03:43:42 main:574] : INFO : Epoch 148 | loss: 1.60255e-05 | val_loss: 1.80439e-05 | Time: 7301.33 ms [2020-11-11 03:43:49 main:574] : INFO : Epoch 149 | loss: 1.57891e-05 | val_loss: 1.6235e-05 | Time: 7403.13 ms [2020-11-11 03:43:57 main:574] : INFO : Epoch 150 | loss: 1.58283e-05 | val_loss: 1.66363e-05 | Time: 7405.4 ms [2020-11-11 03:44:04 main:574] : INFO : Epoch 151 | loss: 1.54797e-05 | val_loss: 1.70878e-05 | Time: 7260.35 ms [2020-11-11 03:44:12 main:574] : INFO : Epoch 152 | loss: 1.56729e-05 | val_loss: 1.61794e-05 | Time: 7338.29 ms [2020-11-11 03:44:20 main:574] : INFO : Epoch 153 | loss: 1.53281e-05 | val_loss: 1.633e-05 | Time: 7991.67 ms [2020-11-11 03:44:29 main:574] : INFO : Epoch 154 | loss: 1.5129e-05 | val_loss: 1.65892e-05 | Time: 8643.76 ms [2020-11-11 03:44:37 main:574] : INFO : Epoch 155 | loss: 1.51278e-05 | val_loss: 1.63511e-05 | Time: 8247.82 ms [2020-11-11 03:44:45 main:574] : INFO : Epoch 156 | loss: 1.51121e-05 | val_loss: 1.65821e-05 | Time: 8050.52 ms [2020-11-11 03:44:53 main:574] : INFO : Epoch 157 | loss: 1.50022e-05 | val_loss: 1.64929e-05 | Time: 8152.95 ms [2020-11-11 03:45:02 main:574] : INFO : Epoch 158 | loss: 1.51048e-05 | val_loss: 1.6711e-05 | Time: 8679.58 ms [2020-11-11 03:45:11 main:574] : INFO : Epoch 159 | loss: 1.49724e-05 | val_loss: 1.56253e-05 | Time: 8545.69 ms [2020-11-11 03:45:19 main:574] : INFO : Epoch 160 | loss: 1.48304e-05 | val_loss: 1.6442e-05 | Time: 8228.7 ms [2020-11-11 03:45:27 main:574] : INFO : Epoch 161 | loss: 1.45556e-05 | val_loss: 1.72196e-05 | Time: 8028.75 ms [2020-11-11 03:45:35 main:574] : INFO : Epoch 162 | loss: 1.44943e-05 | val_loss: 1.56684e-05 | Time: 8089.29 ms [2020-11-11 03:45:43 main:574] : INFO : Epoch 163 | loss: 1.44073e-05 | val_loss: 1.5213e-05 | Time: 8048.14 ms [2020-11-11 03:45:52 main:574] : INFO : Epoch 164 | loss: 1.44623e-05 | val_loss: 1.54211e-05 | Time: 8413.96 ms [2020-11-11 03:46:00 main:574] : INFO : Epoch 165 | loss: 1.42709e-05 | val_loss: 1.55195e-05 | Time: 8410.16 ms [2020-11-11 03:46:08 main:574] : INFO : Epoch 166 | loss: 1.41718e-05 | val_loss: 1.49918e-05 | Time: 7838.05 ms [2020-11-11 03:46:17 main:574] : INFO : Epoch 167 | loss: 1.42624e-05 | val_loss: 1.5783e-05 | Time: 8199.52 ms [2020-11-11 03:46:25 main:574] : INFO : Epoch 168 | loss: 1.40812e-05 | val_loss: 1.54189e-05 | Time: 8699.56 ms [2020-11-11 03:46:34 main:574] : INFO : Epoch 169 | loss: 1.39536e-05 | val_loss: 1.52732e-05 | Time: 8175.48 ms [2020-11-11 03:46:42 main:574] : INFO : Epoch 170 | loss: 1.41615e-05 | val_loss: 1.5647e-05 | Time: 8629.75 ms [2020-11-11 03:46:50 main:574] : INFO : Epoch 171 | loss: 1.37982e-05 | val_loss: 1.53894e-05 | Time: 8143.79 ms [2020-11-11 03:46:59 main:574] : INFO : Epoch 172 | loss: 1.38538e-05 | val_loss: 1.48417e-05 | Time: 8372.26 ms [2020-11-11 03:47:07 main:574] : INFO : Epoch 173 | loss: 1.36892e-05 | val_loss: 1.484e-05 | Time: 8134.92 ms [2020-11-11 03:47:15 main:574] : INFO : Epoch 174 | loss: 1.36531e-05 | val_loss: 1.47791e-05 | Time: 7690.92 ms [2020-11-11 03:47:23 main:574] : INFO : Epoch 175 | loss: 1.35563e-05 | val_loss: 1.53287e-05 | Time: 7767.46 ms [2020-11-11 03:47:32 main:574] : INFO : Epoch 176 | loss: 1.34542e-05 | val_loss: 1.45043e-05 | Time: 8766.05 ms [2020-11-11 03:47:40 main:574] : INFO : Epoch 177 | loss: 1.33086e-05 | val_loss: 1.4282e-05 | Time: 8277.81 ms [2020-11-11 03:47:49 main:574] : INFO : Epoch 178 | loss: 1.32191e-05 | val_loss: 1.45178e-05 | Time: 8692.52 ms [2020-11-11 03:47:57 main:574] : INFO : Epoch 179 | loss: 1.34349e-05 | val_loss: 1.43572e-05 | Time: 8187.09 ms [2020-11-11 03:48:05 main:574] : INFO : Epoch 180 | loss: 1.32173e-05 | val_loss: 1.47409e-05 | Time: 7980.21 ms [2020-11-11 03:48:13 main:574] : INFO : Epoch 181 | loss: 1.30673e-05 | val_loss: 1.47619e-05 | Time: 7886.57 ms [2020-11-11 03:48:22 main:574] : INFO : Epoch 182 | loss: 1.32289e-05 | val_loss: 1.41639e-05 | Time: 8638.95 ms [2020-11-11 03:48:30 main:574] : INFO : Epoch 183 | loss: 1.27985e-05 | val_loss: 1.3787e-05 | Time: 8269.17 ms [2020-11-11 03:48:39 main:574] : INFO : Epoch 184 | loss: 1.31546e-05 | val_loss: 1.3847e-05 | Time: 8440.29 ms [2020-11-11 03:48:47 main:574] : INFO : Epoch 185 | loss: 1.29127e-05 | val_loss: 1.52943e-05 | Time: 8587.15 ms [2020-11-11 03:48:55 main:574] : INFO : Epoch 186 | loss: 1.2557e-05 | val_loss: 1.36228e-05 | Time: 7735.22 ms [2020-11-11 03:49:04 main:574] : INFO : Epoch 187 | loss: 1.29438e-05 | val_loss: 1.3521e-05 | Time: 8480.93 ms [2020-11-11 03:49:12 main:574] : INFO : Epoch 188 | loss: 1.25743e-05 | val_loss: 1.43202e-05 | Time: 8517.64 ms [2020-11-11 03:49:21 main:574] : INFO : Epoch 189 | loss: 1.2607e-05 | val_loss: 1.42707e-05 | Time: 8268.11 ms [2020-11-11 03:49:29 main:574] : INFO : Epoch 190 | loss: 1.26923e-05 | val_loss: 1.36778e-05 | Time: 8608.5 ms [2020-11-11 03:49:37 main:574] : INFO : Epoch 191 | loss: 1.26655e-05 | val_loss: 1.47059e-05 | Time: 8028.99 ms [2020-11-11 03:49:46 main:574] : INFO : Epoch 192 | loss: 1.27767e-05 | val_loss: 1.37631e-05 | Time: 8195.97 ms [2020-11-11 03:49:46 main:597] : INFO : Saving trained model to model-final.pt, val_loss 1.37631e-05 [2020-11-11 03:49:46 main:603] : INFO : Saving end state to config to file [2020-11-11 03:49:46 main:608] : INFO : Success, exiting.. 03:49:46 (11796): 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)