[2022-06-17 15:32:06.188869] max_epochs: 500
[2022-06-17 15:32:06.189041] epoch_size: 2
[2022-06-17 15:32:06.189099] batch_size: 5
[2022-06-17 15:32:06.189146] pretrain_batch_size: 5
[2022-06-17 15:32:06.189188] valid_batch_size : 5
[2022-06-17 15:32:06.189245] lr: 0.001
[2022-06-17 15:32:06.189295] patience : 15
[2022-06-17 15:32:06.189332] early_stopping : 30
[2022-06-17 15:32:06.189371] top_k: [1, 3, 5, 10]
[2022-06-17 15:32:06.189408] problem: setcover
[2022-06-17 15:32:06.189445] gpu: 1
[2022-06-17 15:32:06.189481] seed 0
[2022-06-17 15:32:09.945066] EPOCH 0...
[2022-06-17 15:32:11.935565] PRETRAINED 7 LAYERS
[2022-06-17 15:32:12.681997] VALID LOSS: 0.268 
[2022-06-17 15:32:12.727718]   best model so far
[2022-06-17 15:32:12.727786] EPOCH 1...
[2022-06-17 15:32:13.845920] TRAIN LOSS: 0.231 
[2022-06-17 15:32:14.133278] VALID LOSS: 0.128 
[2022-06-17 15:32:14.187025]   best model so far
[2022-06-17 15:32:14.187180] EPOCH 2...
[2022-06-17 15:32:14.683292] TRAIN LOSS: 0.119 
[2022-06-17 15:32:14.976113] VALID LOSS: 0.060 
[2022-06-17 15:32:15.032271]   best model so far
[2022-06-17 15:32:15.032374] EPOCH 3...
[2022-06-17 15:32:15.401342] TRAIN LOSS: 0.080 
[2022-06-17 15:32:15.681741] VALID LOSS: 0.053 
[2022-06-17 15:32:15.739706]   best model so far
[2022-06-17 15:32:15.739795] EPOCH 4...
[2022-06-17 15:32:16.063321] TRAIN LOSS: 0.082 
[2022-06-17 15:32:16.352486] VALID LOSS: 0.055 
[2022-06-17 15:32:16.352668] EPOCH 5...
[2022-06-17 15:32:16.700082] TRAIN LOSS: 0.084 
[2022-06-17 15:32:16.968050] VALID LOSS: 0.056 
[2022-06-17 15:32:16.968336] EPOCH 6...
[2022-06-17 15:32:17.327807] TRAIN LOSS: 0.085 
[2022-06-17 15:32:17.604242] VALID LOSS: 0.056 
[2022-06-17 15:32:17.604508] EPOCH 7...
[2022-06-17 15:32:17.950677] TRAIN LOSS: 0.086 
[2022-06-17 15:32:18.241656] VALID LOSS: 0.056 
[2022-06-17 15:32:18.241940] EPOCH 8...
[2022-06-17 15:32:18.594395] TRAIN LOSS: 0.086 
[2022-06-17 15:32:18.869395] VALID LOSS: 0.056 
[2022-06-17 15:32:18.869651] EPOCH 9...
[2022-06-17 15:32:19.232595] TRAIN LOSS: 0.086 
[2022-06-17 15:32:19.517804] VALID LOSS: 0.056 
[2022-06-17 15:32:19.518093] EPOCH 10...
[2022-06-17 15:32:19.836944] TRAIN LOSS: 0.086 
[2022-06-17 15:32:20.105903] VALID LOSS: 0.056 
[2022-06-17 15:32:20.106178] EPOCH 11...
[2022-06-17 15:32:20.476522] TRAIN LOSS: 0.086 
[2022-06-17 15:32:20.753742] VALID LOSS: 0.056 
[2022-06-17 15:32:20.754053] EPOCH 12...
[2022-06-17 15:32:21.110405] TRAIN LOSS: 0.086 
[2022-06-17 15:32:21.386634] VALID LOSS: 0.056 
[2022-06-17 15:32:21.386917] EPOCH 13...
[2022-06-17 15:32:21.731328] TRAIN LOSS: 0.086 
[2022-06-17 15:32:21.990354] VALID LOSS: 0.056 
[2022-06-17 15:32:21.990568] EPOCH 14...
[2022-06-17 15:32:22.343316] TRAIN LOSS: 0.086 
[2022-06-17 15:32:22.623959] VALID LOSS: 0.056 
[2022-06-17 15:32:22.624253] EPOCH 15...
[2022-06-17 15:32:22.961110] TRAIN LOSS: 0.086 
[2022-06-17 15:32:23.237611] VALID LOSS: 0.056 
[2022-06-17 15:32:23.237835] EPOCH 16...
[2022-06-17 15:32:23.613993] TRAIN LOSS: 0.086 
[2022-06-17 15:32:23.902965] VALID LOSS: 0.056 
[2022-06-17 15:32:23.903272] EPOCH 17...
[2022-06-17 15:32:24.252971] TRAIN LOSS: 0.086 
[2022-06-17 15:32:24.545109] VALID LOSS: 0.056 
[2022-06-17 15:32:24.545352] EPOCH 18...
[2022-06-17 15:32:24.925969] TRAIN LOSS: 0.086 
[2022-06-17 15:32:25.214290] VALID LOSS: 0.056 
[2022-06-17 15:32:25.214573]   15 epochs without improvement, decreasing learning rate to 0.0002
[2022-06-17 15:32:25.214702] EPOCH 19...
[2022-06-17 15:32:25.573997] TRAIN LOSS: 0.086 
[2022-06-17 15:32:25.877276] VALID LOSS: 0.056 
[2022-06-17 15:32:25.877593] EPOCH 20...
[2022-06-17 15:32:26.240776] TRAIN LOSS: 0.086 
[2022-06-17 15:32:26.505392] VALID LOSS: 0.056 
[2022-06-17 15:32:26.505666] EPOCH 21...
[2022-06-17 15:32:26.865639] TRAIN LOSS: 0.086 
[2022-06-17 15:32:27.153729] VALID LOSS: 0.056 
[2022-06-17 15:32:27.154075] EPOCH 22...
[2022-06-17 15:32:27.546961] TRAIN LOSS: 0.086 
[2022-06-17 15:32:27.864209] VALID LOSS: 0.056 
[2022-06-17 15:32:27.864478] EPOCH 23...
[2022-06-17 15:32:28.232950] TRAIN LOSS: 0.086 
[2022-06-17 15:32:28.516459] VALID LOSS: 0.056 
[2022-06-17 15:32:28.516728] EPOCH 24...
[2022-06-17 15:32:28.876487] TRAIN LOSS: 0.086 
[2022-06-17 15:32:29.167421] VALID LOSS: 0.056 
[2022-06-17 15:32:29.167680] EPOCH 25...
[2022-06-17 15:32:29.527501] TRAIN LOSS: 0.086 
[2022-06-17 15:32:29.810861] VALID LOSS: 0.056 
[2022-06-17 15:32:29.811124] EPOCH 26...
[2022-06-17 15:32:30.176689] TRAIN LOSS: 0.086 
[2022-06-17 15:32:30.459190] VALID LOSS: 0.056 
[2022-06-17 15:32:30.459418] EPOCH 27...
[2022-06-17 15:32:30.809877] TRAIN LOSS: 0.086 
[2022-06-17 15:32:31.088932] VALID LOSS: 0.056 
[2022-06-17 15:32:31.089217] EPOCH 28...
[2022-06-17 15:32:31.435350] TRAIN LOSS: 0.086 
[2022-06-17 15:32:31.712331] VALID LOSS: 0.056 
[2022-06-17 15:32:31.712671] EPOCH 29...
[2022-06-17 15:32:32.061670] TRAIN LOSS: 0.086 
[2022-06-17 15:32:32.347694] VALID LOSS: 0.056 
[2022-06-17 15:32:32.348090] EPOCH 30...
[2022-06-17 15:32:32.704824] TRAIN LOSS: 0.086 
[2022-06-17 15:32:32.970723] VALID LOSS: 0.056 
[2022-06-17 15:32:32.971008] EPOCH 31...
[2022-06-17 15:32:33.356966] TRAIN LOSS: 0.086 
[2022-06-17 15:32:33.636759] VALID LOSS: 0.056 
[2022-06-17 15:32:33.637041] EPOCH 32...
[2022-06-17 15:32:34.024719] TRAIN LOSS: 0.086 
[2022-06-17 15:32:34.310767] VALID LOSS: 0.056 
[2022-06-17 15:32:34.311111] EPOCH 33...
[2022-06-17 15:32:34.663002] TRAIN LOSS: 0.086 
[2022-06-17 15:32:34.944439] VALID LOSS: 0.056 
[2022-06-17 15:32:34.944717]   30 epochs without improvement, early stopping
[2022-06-17 15:32:35.312187] BEST VALID LOSS: 0.053 
[2022-06-17 20:22:56.121377] max_epochs: 500
[2022-06-17 20:22:56.121507] epoch_size: 2
[2022-06-17 20:22:56.121572] batch_size: 5
[2022-06-17 20:22:56.121620] pretrain_batch_size: 5
[2022-06-17 20:22:56.121665] valid_batch_size : 5
[2022-06-17 20:22:56.121714] lr: 0.001
[2022-06-17 20:22:56.121758] patience : 15
[2022-06-17 20:22:56.121800] early_stopping : 30
[2022-06-17 20:22:56.121844] top_k: [1, 3, 5, 10]
[2022-06-17 20:22:56.121886] problem: setcover
[2022-06-17 20:22:56.121927] gpu: 1
[2022-06-17 20:22:56.121968] seed 0
[2022-06-17 20:22:59.953544] EPOCH 0...
[2022-06-17 20:23:01.841506] PRETRAINED 7 LAYERS
[2022-06-17 20:23:02.550478] VALID LOSS: 0.272 
[2022-06-17 20:23:02.597838]   best model so far
[2022-06-17 20:23:02.597926] EPOCH 1...
[2022-06-17 20:23:03.630297] TRAIN LOSS: 0.232 
[2022-06-17 20:23:03.917886] VALID LOSS: 0.131 
[2022-06-17 20:23:03.977917]   best model so far
[2022-06-17 20:23:03.978009] EPOCH 2...
[2022-06-17 20:23:04.450097] TRAIN LOSS: 0.126 
[2022-06-17 20:23:04.687148] VALID LOSS: 0.061 
[2022-06-17 20:23:04.745961]   best model so far
[2022-06-17 20:23:04.746059] EPOCH 3...
[2022-06-17 20:23:05.107577] TRAIN LOSS: 0.080 
[2022-06-17 20:23:05.407252] VALID LOSS: 0.053 
[2022-06-17 20:23:05.463953]   best model so far
[2022-06-17 20:23:05.464044] EPOCH 4...
[2022-06-17 20:23:05.807613] TRAIN LOSS: 0.082 
[2022-06-17 20:23:06.059331] VALID LOSS: 0.055 
[2022-06-17 20:23:06.059569] EPOCH 5...
[2022-06-17 20:23:06.396161] TRAIN LOSS: 0.085 
[2022-06-17 20:23:06.650704] VALID LOSS: 0.056 
[2022-06-17 20:23:06.650931] EPOCH 6...
[2022-06-17 20:23:07.020300] TRAIN LOSS: 0.085 
[2022-06-17 20:23:07.313525] VALID LOSS: 0.056 
[2022-06-17 20:23:07.313741] EPOCH 7...
[2022-06-17 20:23:07.686056] TRAIN LOSS: 0.086 
[2022-06-17 20:23:07.966708] VALID LOSS: 0.056 
[2022-06-17 20:23:07.966933] EPOCH 8...
[2022-06-17 20:23:08.303179] TRAIN LOSS: 0.086 
[2022-06-17 20:23:08.594857] VALID LOSS: 0.056 
[2022-06-17 20:23:08.595068] EPOCH 9...
[2022-06-17 20:23:08.968455] TRAIN LOSS: 0.086 
[2022-06-17 20:23:09.220010] VALID LOSS: 0.056 
[2022-06-17 20:23:09.220211] EPOCH 10...
[2022-06-17 20:23:09.584278] TRAIN LOSS: 0.086 
[2022-06-17 20:23:09.852663] VALID LOSS: 0.056 
[2022-06-17 20:23:09.853047] EPOCH 11...
[2022-06-17 20:23:10.222351] TRAIN LOSS: 0.086 
[2022-06-17 20:23:10.477545] VALID LOSS: 0.056 
[2022-06-17 20:23:10.477821] EPOCH 12...
[2022-06-17 20:23:10.842671] TRAIN LOSS: 0.086 
[2022-06-17 20:23:11.123000] VALID LOSS: 0.056 
[2022-06-17 20:23:11.123302] EPOCH 13...
[2022-06-17 20:23:11.500323] TRAIN LOSS: 0.086 
[2022-06-17 20:23:11.771187] VALID LOSS: 0.056 
[2022-06-17 20:23:11.771513] EPOCH 14...
[2022-06-17 20:23:12.137839] TRAIN LOSS: 0.086 
[2022-06-17 20:23:12.351489] VALID LOSS: 0.056 
[2022-06-17 20:23:12.351711] EPOCH 15...
[2022-06-17 20:23:12.685343] TRAIN LOSS: 0.086 
[2022-06-17 20:23:12.966755] VALID LOSS: 0.056 
[2022-06-17 20:23:12.966972] EPOCH 16...
[2022-06-17 20:23:13.319628] TRAIN LOSS: 0.086 
[2022-06-17 20:23:13.577643] VALID LOSS: 0.056 
[2022-06-17 20:23:13.577876] EPOCH 17...
[2022-06-17 20:23:13.944864] TRAIN LOSS: 0.086 
[2022-06-17 20:23:14.234220] VALID LOSS: 0.056 
[2022-06-17 20:23:14.234513] EPOCH 18...
[2022-06-17 20:23:14.553850] TRAIN LOSS: 0.086 
[2022-06-17 20:23:14.847317] VALID LOSS: 0.056 
[2022-06-17 20:23:14.847629]   15 epochs without improvement, decreasing learning rate to 0.0002
[2022-06-17 20:23:14.847750] EPOCH 19...
[2022-06-17 20:23:15.217995] TRAIN LOSS: 0.086 
[2022-06-17 20:23:15.507884] VALID LOSS: 0.056 
[2022-06-17 20:23:15.508163] EPOCH 20...
[2022-06-17 20:23:15.874054] TRAIN LOSS: 0.086 
[2022-06-17 20:23:16.166251] VALID LOSS: 0.056 
[2022-06-17 20:23:16.166562] EPOCH 21...
[2022-06-17 20:23:16.519941] TRAIN LOSS: 0.086 
[2022-06-17 20:23:16.814990] VALID LOSS: 0.056 
[2022-06-17 20:23:16.815290] EPOCH 22...
[2022-06-17 20:23:17.166535] TRAIN LOSS: 0.086 
[2022-06-17 20:23:17.430572] VALID LOSS: 0.056 
[2022-06-17 20:23:17.430884] EPOCH 23...
[2022-06-17 20:23:17.808096] TRAIN LOSS: 0.086 
[2022-06-17 20:23:18.047536] VALID LOSS: 0.056 
[2022-06-17 20:23:18.047859] EPOCH 24...
[2022-06-17 20:23:18.418204] TRAIN LOSS: 0.086 
[2022-06-17 20:23:18.746701] VALID LOSS: 0.056 
[2022-06-17 20:23:18.746952] EPOCH 25...
[2022-06-17 20:23:19.121669] TRAIN LOSS: 0.086 
[2022-06-17 20:23:19.427726] VALID LOSS: 0.056 
[2022-06-17 20:23:19.428038] EPOCH 26...
[2022-06-17 20:23:19.758853] TRAIN LOSS: 0.086 
[2022-06-17 20:23:19.992867] VALID LOSS: 0.056 
[2022-06-17 20:23:19.993187] EPOCH 27...
[2022-06-17 20:23:20.327705] TRAIN LOSS: 0.086 
[2022-06-17 20:23:20.626709] VALID LOSS: 0.056 
[2022-06-17 20:23:20.627008] EPOCH 28...
[2022-06-17 20:23:20.970102] TRAIN LOSS: 0.086 
[2022-06-17 20:23:21.218727] VALID LOSS: 0.056 
[2022-06-17 20:23:21.218953] EPOCH 29...
[2022-06-17 20:23:21.562535] TRAIN LOSS: 0.086 
[2022-06-17 20:23:21.818099] VALID LOSS: 0.056 
[2022-06-17 20:23:21.818378] EPOCH 30...
[2022-06-17 20:23:22.166081] TRAIN LOSS: 0.086 
[2022-06-17 20:23:22.445513] VALID LOSS: 0.056 
[2022-06-17 20:23:22.445756] EPOCH 31...
[2022-06-17 20:23:22.780600] TRAIN LOSS: 0.086 
[2022-06-17 20:23:23.045737] VALID LOSS: 0.056 
[2022-06-17 20:23:23.045986] EPOCH 32...
[2022-06-17 20:23:23.400412] TRAIN LOSS: 0.086 
[2022-06-17 20:23:23.687913] VALID LOSS: 0.056 
[2022-06-17 20:23:23.688209] EPOCH 33...
[2022-06-17 20:23:24.069641] TRAIN LOSS: 0.086 
[2022-06-17 20:23:24.347892] VALID LOSS: 0.056 
[2022-06-17 20:23:24.348231]   30 epochs without improvement, early stopping
[2022-06-17 20:23:24.682696] BEST VALID LOSS: 0.053 
[2022-06-21 13:48:05.471445] max_epochs: 500
[2022-06-21 13:48:05.471835] epoch_size: 2
[2022-06-21 13:48:05.471900] batch_size: 5
[2022-06-21 13:48:05.471951] pretrain_batch_size: 5
[2022-06-21 13:48:05.472000] valid_batch_size : 5
[2022-06-21 13:48:05.472051] lr: 0.001
[2022-06-21 13:48:05.472095] patience : 15
[2022-06-21 13:48:05.472137] early_stopping : 30
[2022-06-21 13:48:05.472182] top_k: [1, 3, 5, 10]
[2022-06-21 13:48:05.472224] problem: setcover
[2022-06-21 13:48:05.472267] gpu: 1
[2022-06-21 13:48:05.472308] seed 0
[2022-06-21 13:48:11.219023] EPOCH 0...
[2022-06-21 13:48:13.811774] PRETRAINED 7 LAYERS
[2022-06-21 13:48:14.559365] VALID LOSS: 0.299 
[2022-06-21 13:48:14.608284]   best model so far
[2022-06-21 13:48:14.608411] EPOCH 1...
[2022-06-21 13:48:15.655171] TRAIN LOSS: 0.254 
[2022-06-21 13:48:15.960752] VALID LOSS: 0.142 
[2022-06-21 13:48:16.010654]   best model so far
[2022-06-21 13:48:16.010734] EPOCH 2...
[2022-06-21 13:48:16.365670] TRAIN LOSS: 0.130 
[2022-06-21 13:48:16.660315] VALID LOSS: 0.052 
[2022-06-21 13:48:16.718495]   best model so far
[2022-06-21 13:48:16.718598] EPOCH 3...
[2022-06-21 13:48:17.240386] TRAIN LOSS: 0.072 
[2022-06-21 13:48:17.530967] VALID LOSS: 0.033 
[2022-06-21 13:48:17.588740]   best model so far
[2022-06-21 13:48:17.588832] EPOCH 4...
[2022-06-21 13:48:17.964751] TRAIN LOSS: 0.068 
[2022-06-21 13:48:18.254912] VALID LOSS: 0.033 
[2022-06-21 13:48:18.255222] EPOCH 5...
[2022-06-21 13:48:18.622308] TRAIN LOSS: 0.071 
[2022-06-21 13:48:18.895092] VALID LOSS: 0.034 
[2022-06-21 13:48:18.895398] EPOCH 6...
[2022-06-21 13:48:19.271532] TRAIN LOSS: 0.072 
[2022-06-21 13:48:19.522030] VALID LOSS: 0.034 
[2022-06-21 13:48:19.522330] EPOCH 7...
[2022-06-21 13:48:19.899052] TRAIN LOSS: 0.072 
[2022-06-21 13:48:20.109117] VALID LOSS: 0.034 
[2022-06-21 13:48:20.109388] EPOCH 8...
[2022-06-21 13:48:20.410933] TRAIN LOSS: 0.072 
[2022-06-21 13:48:20.699400] VALID LOSS: 0.034 
[2022-06-21 13:48:20.699708] EPOCH 9...
[2022-06-21 13:48:21.069620] TRAIN LOSS: 0.072 
[2022-06-21 13:48:21.359582] VALID LOSS: 0.034 
[2022-06-21 13:48:21.359864] EPOCH 10...
[2022-06-21 13:48:21.729039] TRAIN LOSS: 0.072 
[2022-06-21 13:48:22.011244] VALID LOSS: 0.034 
[2022-06-21 13:48:22.011546] EPOCH 11...
[2022-06-21 13:48:22.359682] TRAIN LOSS: 0.072 
[2022-06-21 13:48:22.604114] VALID LOSS: 0.034 
[2022-06-21 13:48:22.604400] EPOCH 12...
[2022-06-21 13:48:22.978846] TRAIN LOSS: 0.072 
[2022-06-21 13:48:23.300064] VALID LOSS: 0.034 
[2022-06-21 13:48:23.300356] EPOCH 13...
[2022-06-21 13:48:23.676799] TRAIN LOSS: 0.072 
[2022-06-21 13:48:23.950955] VALID LOSS: 0.034 
[2022-06-21 13:48:23.951215] EPOCH 14...
[2022-06-21 13:48:24.310386] TRAIN LOSS: 0.072 
[2022-06-21 13:48:24.571782] VALID LOSS: 0.034 
[2022-06-21 13:48:24.572085] EPOCH 15...
[2022-06-21 13:48:24.963310] TRAIN LOSS: 0.072 
[2022-06-21 13:48:25.280990] VALID LOSS: 0.034 
[2022-06-21 13:48:25.281214] EPOCH 16...
[2022-06-21 13:48:25.672640] TRAIN LOSS: 0.072 
[2022-06-21 13:48:25.976817] VALID LOSS: 0.034 
[2022-06-21 13:48:25.977131] EPOCH 17...
[2022-06-21 13:48:26.350178] TRAIN LOSS: 0.072 
[2022-06-21 13:48:26.653525] VALID LOSS: 0.034 
[2022-06-21 13:48:26.653808] EPOCH 18...
[2022-06-21 13:48:27.031223] TRAIN LOSS: 0.072 
[2022-06-21 13:48:27.296175] VALID LOSS: 0.034 
[2022-06-21 13:48:27.296479]   15 epochs without improvement, decreasing learning rate to 0.0002
[2022-06-21 13:48:27.296614] EPOCH 19...
[2022-06-21 13:48:27.693695] TRAIN LOSS: 0.072 
[2022-06-21 13:48:28.011035] VALID LOSS: 0.034 
[2022-06-21 13:48:28.011342] EPOCH 20...
[2022-06-21 13:48:28.378490] TRAIN LOSS: 0.072 
[2022-06-21 13:48:28.680296] VALID LOSS: 0.034 
[2022-06-21 13:48:28.680587] EPOCH 21...
[2022-06-21 13:48:29.060492] TRAIN LOSS: 0.072 
[2022-06-21 13:48:29.357555] VALID LOSS: 0.034 
[2022-06-21 13:48:29.357776] EPOCH 22...
[2022-06-21 13:48:29.738718] TRAIN LOSS: 0.072 
[2022-06-21 13:48:30.035589] VALID LOSS: 0.034 
[2022-06-21 13:48:30.035899] EPOCH 23...
[2022-06-21 13:48:30.386754] TRAIN LOSS: 0.072 
[2022-06-21 13:48:30.641479] VALID LOSS: 0.034 
[2022-06-21 13:48:30.641767] EPOCH 24...
[2022-06-21 13:48:30.989199] TRAIN LOSS: 0.072 
[2022-06-21 13:48:31.266278] VALID LOSS: 0.034 
[2022-06-21 13:48:31.266537] EPOCH 25...
[2022-06-21 13:48:31.625387] TRAIN LOSS: 0.072 
[2022-06-21 13:48:31.931537] VALID LOSS: 0.034 
[2022-06-21 13:48:31.931880] EPOCH 26...
[2022-06-21 13:48:32.320104] TRAIN LOSS: 0.072 
[2022-06-21 13:48:32.603545] VALID LOSS: 0.034 
[2022-06-21 13:48:32.603808] EPOCH 27...
[2022-06-21 13:48:32.958351] TRAIN LOSS: 0.072 
[2022-06-21 13:48:33.265915] VALID LOSS: 0.034 
[2022-06-21 13:48:33.266304] EPOCH 28...
[2022-06-21 13:48:33.640540] TRAIN LOSS: 0.072 
[2022-06-21 13:48:33.869787] VALID LOSS: 0.034 
[2022-06-21 13:48:33.869971] EPOCH 29...
[2022-06-21 13:48:34.195509] TRAIN LOSS: 0.072 
[2022-06-21 13:48:34.478539] VALID LOSS: 0.034 
[2022-06-21 13:48:34.478788] EPOCH 30...
[2022-06-21 13:48:34.796141] TRAIN LOSS: 0.072 
[2022-06-21 13:48:35.088751] VALID LOSS: 0.034 
[2022-06-21 13:48:35.089021] EPOCH 31...
[2022-06-21 13:48:35.436050] TRAIN LOSS: 0.072 
[2022-06-21 13:48:35.713645] VALID LOSS: 0.034 
[2022-06-21 13:48:35.713957] EPOCH 32...
[2022-06-21 13:48:36.084736] TRAIN LOSS: 0.072 
[2022-06-21 13:48:36.381548] VALID LOSS: 0.034 
[2022-06-21 13:48:36.381821] EPOCH 33...
[2022-06-21 13:48:36.758096] TRAIN LOSS: 0.072 
[2022-06-21 13:48:37.055161] VALID LOSS: 0.034 
[2022-06-21 13:48:37.055514]   30 epochs without improvement, early stopping
[2022-06-21 13:48:37.394602] BEST VALID LOSS: 0.033 
[2022-06-21 14:02:49.003069] max_epochs: 500
[2022-06-21 14:02:49.003204] epoch_size: 2
[2022-06-21 14:02:49.003258] batch_size: 5
[2022-06-21 14:02:49.003303] pretrain_batch_size: 5
[2022-06-21 14:02:49.003345] valid_batch_size : 5
[2022-06-21 14:02:49.003391] lr: 0.001
[2022-06-21 14:02:49.003433] patience : 15
[2022-06-21 14:02:49.003474] early_stopping : 30
[2022-06-21 14:02:49.003515] top_k: [1, 3, 5, 10]
[2022-06-21 14:02:49.003555] problem: setcover
[2022-06-21 14:02:49.003595] gpu: 1
[2022-06-21 14:02:49.003633] seed 0
[2022-06-21 14:02:52.724048] EPOCH 0...
[2022-06-21 14:02:54.669671] PRETRAINED 7 LAYERS
[2022-06-21 14:02:55.414676] VALID LOSS: 0.299 
[2022-06-21 14:02:55.461153]   best model so far
[2022-06-21 14:02:55.461234] EPOCH 1...
[2022-06-21 14:02:56.546402] TRAIN LOSS: 0.254 
[2022-06-21 14:02:56.802778] VALID LOSS: 0.142 
[2022-06-21 14:02:56.851248]   best model so far
[2022-06-21 14:02:56.851372] EPOCH 2...
[2022-06-21 14:02:57.357906] TRAIN LOSS: 0.130 
[2022-06-21 14:02:57.659134] VALID LOSS: 0.052 
[2022-06-21 14:02:57.706770]   best model so far
[2022-06-21 14:02:57.706903] EPOCH 3...
[2022-06-21 14:02:58.107930] TRAIN LOSS: 0.072 
[2022-06-21 14:02:58.374146] VALID LOSS: 0.033 
[2022-06-21 14:02:58.431822]   best model so far
[2022-06-21 14:02:58.431918] EPOCH 4...
[2022-06-21 14:02:58.821371] TRAIN LOSS: 0.068 
[2022-06-21 14:02:59.082894] VALID LOSS: 0.033 
[2022-06-21 14:02:59.083124] EPOCH 5...
[2022-06-21 14:02:59.454897] TRAIN LOSS: 0.071 
[2022-06-21 14:02:59.730382] VALID LOSS: 0.034 
[2022-06-21 14:02:59.730653] EPOCH 6...
[2022-06-21 14:03:00.104553] TRAIN LOSS: 0.072 
[2022-06-21 14:03:00.390967] VALID LOSS: 0.034 
[2022-06-21 14:03:00.391293] EPOCH 7...
[2022-06-21 14:03:00.812412] TRAIN LOSS: 0.072 
[2022-06-21 14:03:01.081750] VALID LOSS: 0.034 
[2022-06-21 14:03:01.082048] EPOCH 8...
[2022-06-21 14:03:01.481578] TRAIN LOSS: 0.072 
[2022-06-21 14:03:01.772274] VALID LOSS: 0.034 
[2022-06-21 14:03:01.772514] EPOCH 9...
[2022-06-21 14:03:02.170345] TRAIN LOSS: 0.072 
[2022-06-21 14:03:02.437072] VALID LOSS: 0.034 
[2022-06-21 14:03:02.437354] EPOCH 10...
[2022-06-21 14:03:02.820127] TRAIN LOSS: 0.072 
[2022-06-21 14:03:03.122255] VALID LOSS: 0.034 
[2022-06-21 14:03:03.122582] EPOCH 11...
[2022-06-21 14:03:03.522770] TRAIN LOSS: 0.072 
[2022-06-21 14:03:03.809643] VALID LOSS: 0.034 
[2022-06-21 14:03:03.809928] EPOCH 12...
[2022-06-21 14:03:04.229053] TRAIN LOSS: 0.072 
[2022-06-21 14:03:04.486397] VALID LOSS: 0.034 
[2022-06-21 14:03:04.486721] EPOCH 13...
[2022-06-21 14:03:04.851470] TRAIN LOSS: 0.072 
[2022-06-21 14:03:05.122929] VALID LOSS: 0.034 
[2022-06-21 14:03:05.123225] EPOCH 14...
[2022-06-21 14:03:05.471910] TRAIN LOSS: 0.072 
[2022-06-21 14:03:05.757775] VALID LOSS: 0.034 
[2022-06-21 14:03:05.758053] EPOCH 15...
[2022-06-21 14:03:06.156580] TRAIN LOSS: 0.072 
[2022-06-21 14:03:06.409382] VALID LOSS: 0.034 
[2022-06-21 14:03:06.409686] EPOCH 16...
[2022-06-21 14:03:06.793172] TRAIN LOSS: 0.072 
[2022-06-21 14:03:07.081643] VALID LOSS: 0.034 
[2022-06-21 14:03:07.081983] EPOCH 17...
[2022-06-21 14:03:07.470833] TRAIN LOSS: 0.072 
[2022-06-21 14:03:07.702047] VALID LOSS: 0.034 
[2022-06-21 14:03:07.702313] EPOCH 18...
[2022-06-21 14:03:08.073461] TRAIN LOSS: 0.072 
[2022-06-21 14:03:08.359736] VALID LOSS: 0.034 
[2022-06-21 14:03:08.359928]   15 epochs without improvement, decreasing learning rate to 0.0002
[2022-06-21 14:03:08.360037] EPOCH 19...
[2022-06-21 14:03:08.768191] TRAIN LOSS: 0.072 
[2022-06-21 14:03:09.023068] VALID LOSS: 0.034 
[2022-06-21 14:03:09.023293] EPOCH 20...
[2022-06-21 14:03:09.400751] TRAIN LOSS: 0.072 
[2022-06-21 14:03:09.695616] VALID LOSS: 0.034 
[2022-06-21 14:03:09.695828] EPOCH 21...
[2022-06-21 14:03:10.091362] TRAIN LOSS: 0.072 
[2022-06-21 14:03:10.375689] VALID LOSS: 0.034 
[2022-06-21 14:03:10.375962] EPOCH 22...
[2022-06-21 14:03:10.762505] TRAIN LOSS: 0.072 
[2022-06-21 14:03:54.701406] max_epochs: 500
[2022-06-21 14:03:54.701544] epoch_size: 2
[2022-06-21 14:03:54.701599] batch_size: 5
[2022-06-21 14:03:54.701657] pretrain_batch_size: 5
[2022-06-21 14:03:54.701714] valid_batch_size : 5
[2022-06-21 14:03:54.701768] lr: 0.001
[2022-06-21 14:03:54.701812] patience : 15
[2022-06-21 14:03:54.701856] early_stopping : 30
[2022-06-21 14:03:54.701902] top_k: [1, 3, 5, 10]
[2022-06-21 14:03:54.701945] problem: setcover
[2022-06-21 14:03:54.701988] gpu: 1
[2022-06-21 14:03:54.702029] seed 0
[2022-06-21 14:03:58.435901] EPOCH 0...
[2022-06-21 14:04:00.488531] PRETRAINED 7 LAYERS
[2022-06-21 14:04:01.226967] VALID LOSS: 0.299 
[2022-06-21 14:04:01.273382]   best model so far
[2022-06-21 14:04:01.273490] EPOCH 1...
[2022-06-21 14:04:02.385889] TRAIN LOSS: 0.254 
[2022-06-21 14:04:02.675320] VALID LOSS: 0.142 
[2022-06-21 14:04:02.733702]   best model so far
[2022-06-21 14:04:02.733798] EPOCH 2...
[2022-06-21 14:04:03.129123] TRAIN LOSS: 0.130 
[2022-06-21 14:04:03.436232] VALID LOSS: 0.052 
[2022-06-21 14:04:03.495561]   best model so far
[2022-06-21 14:04:03.495657] EPOCH 3...
[2022-06-21 14:04:04.005941] TRAIN LOSS: 0.072 
[2022-06-21 14:04:04.300805] VALID LOSS: 0.033 
[2022-06-21 14:04:04.357611]   best model so far
[2022-06-21 14:04:04.357704] EPOCH 4...
[2022-06-21 14:04:04.724913] TRAIN LOSS: 0.068 
[2022-06-21 14:04:05.028891] VALID LOSS: 0.033 
[2022-06-21 14:04:05.029167] EPOCH 5...
[2022-06-21 14:04:05.394154] TRAIN LOSS: 0.071 
[2022-06-21 14:04:05.677950] VALID LOSS: 0.034 
[2022-06-21 14:04:05.678152] EPOCH 6...
[2022-06-21 14:04:06.056506] TRAIN LOSS: 0.072 
[2022-06-21 14:04:06.352211] VALID LOSS: 0.034 
[2022-06-21 14:04:06.352444] EPOCH 7...
[2022-06-21 14:04:06.708227] TRAIN LOSS: 0.072 
[2022-06-21 14:04:06.991428] VALID LOSS: 0.034 
[2022-06-21 14:04:06.991649] EPOCH 8...
[2022-06-21 14:04:07.368564] TRAIN LOSS: 0.072 
[2022-06-21 14:04:07.689996] VALID LOSS: 0.034 
[2022-06-21 14:04:07.690337] EPOCH 9...
[2022-06-21 14:04:52.550542] max_epochs: 500
[2022-06-21 14:04:52.550685] epoch_size: 2
[2022-06-21 14:04:52.550739] batch_size: 5
[2022-06-21 14:04:52.550785] pretrain_batch_size: 5
[2022-06-21 14:04:52.550828] valid_batch_size : 5
[2022-06-21 14:04:52.550888] lr: 0.001
[2022-06-21 14:04:52.550930] patience : 15
[2022-06-21 14:04:52.550971] early_stopping : 30
[2022-06-21 14:04:52.551014] top_k: [1, 3, 5, 10]
[2022-06-21 14:04:52.551053] problem: setcover
[2022-06-21 14:04:52.551093] gpu: 1
[2022-06-21 14:04:52.551132] seed 0
[2022-06-21 14:04:56.257463] EPOCH 0...
[2022-06-21 14:04:58.213703] PRETRAINED 7 LAYERS
[2022-06-21 14:04:58.956436] VALID LOSS: 0.299 
[2022-06-21 14:04:59.003266]   best model so far
[2022-06-21 14:04:59.003353] EPOCH 1...
[2022-06-21 14:05:00.031425] TRAIN LOSS: 0.254 
[2022-06-21 14:05:00.329667] VALID LOSS: 0.142 
[2022-06-21 14:05:00.377135]   best model so far
[2022-06-21 14:05:00.377212] EPOCH 2...
[2022-06-21 14:05:00.748734] TRAIN LOSS: 0.130 
[2022-06-21 14:05:01.041663] VALID LOSS: 0.052 
[2022-06-21 14:05:01.099725]   best model so far
[2022-06-21 14:05:01.099821] EPOCH 3...
[2022-06-21 14:05:01.601640] TRAIN LOSS: 0.072 
[2022-06-21 14:05:01.904695] VALID LOSS: 0.033 
[2022-06-21 14:05:01.962243]   best model so far
[2022-06-21 14:05:01.962339] EPOCH 4...
[2022-06-21 14:05:02.335581] TRAIN LOSS: 0.068 
[2022-06-21 14:05:02.640235] VALID LOSS: 0.033 
[2022-06-21 14:05:02.640440] EPOCH 5...
[2022-06-21 14:05:03.013689] TRAIN LOSS: 0.071 
[2022-06-21 14:05:03.307299] VALID LOSS: 0.034 
[2022-06-21 14:05:03.307534] EPOCH 6...
[2022-06-21 14:05:03.658488] TRAIN LOSS: 0.072 
[2022-06-21 14:05:03.910504] VALID LOSS: 0.034 
[2022-06-21 14:05:03.910729] EPOCH 7...
[2022-06-21 14:12:17.747858] max_epochs: 500
[2022-06-21 14:12:17.747982] epoch_size: 2
[2022-06-21 14:12:17.748035] batch_size: 5
[2022-06-21 14:12:17.748089] pretrain_batch_size: 5
[2022-06-21 14:12:17.748147] valid_batch_size : 5
[2022-06-21 14:12:17.748197] lr: 0.001
[2022-06-21 14:12:17.748239] patience : 15
[2022-06-21 14:12:17.748281] early_stopping : 30
[2022-06-21 14:12:17.748324] top_k: [1, 3, 5, 10]
[2022-06-21 14:12:17.748365] problem: setcover
[2022-06-21 14:12:17.748406] gpu: 1
[2022-06-21 14:12:17.748447] seed 0
[2022-06-21 14:12:21.487430] EPOCH 0...
[2022-06-21 14:12:23.567909] PRETRAINED 7 LAYERS
[2022-06-21 14:12:24.328711] VALID LOSS: 0.299 
[2022-06-21 14:12:24.376184]   best model so far
[2022-06-21 14:12:24.376272] EPOCH 1...
[2022-06-21 14:12:25.433896] TRAIN LOSS: 0.254 
[2022-06-21 14:12:25.737159] VALID LOSS: 0.142 
[2022-06-21 14:12:25.793355]   best model so far
[2022-06-21 14:12:25.793447] EPOCH 2...
[2022-06-21 14:12:26.284137] TRAIN LOSS: 0.130 
[2022-06-21 14:12:26.550540] VALID LOSS: 0.052 
[2022-06-21 14:12:26.607191]   best model so far
[2022-06-21 14:12:26.607302] EPOCH 3...
[2022-06-21 14:12:26.994420] TRAIN LOSS: 0.072 
[2022-06-21 14:12:27.294169] VALID LOSS: 0.033 
[2022-06-21 14:12:27.357305]   best model so far
[2022-06-21 14:12:27.357400] EPOCH 4...
[2022-06-21 14:12:27.708633] TRAIN LOSS: 0.068 
[2022-06-21 14:12:27.984344] VALID LOSS: 0.033 
[2022-06-21 14:12:27.984568] EPOCH 5...
[2022-06-21 14:12:28.359209] TRAIN LOSS: 0.071 
[2022-06-21 14:12:28.611377] VALID LOSS: 0.034 
[2022-06-21 14:12:28.611600] EPOCH 6...
[2022-06-21 14:12:28.982302] TRAIN LOSS: 0.072 
[2022-06-21 14:12:29.252140] VALID LOSS: 0.034 
[2022-06-21 14:12:29.252362] EPOCH 7...
[2022-06-21 14:18:05.675415] max_epochs: 500
[2022-06-21 14:18:05.675527] epoch_size: 2
[2022-06-21 14:18:05.675579] batch_size: 5
[2022-06-21 14:18:05.675622] pretrain_batch_size: 5
[2022-06-21 14:18:05.675666] valid_batch_size : 5
[2022-06-21 14:18:05.675713] lr: 0.001
[2022-06-21 14:18:05.675756] patience : 15
[2022-06-21 14:18:05.675797] early_stopping : 30
[2022-06-21 14:18:05.675839] top_k: [1, 3, 5, 10]
[2022-06-21 14:18:05.675880] problem: setcover
[2022-06-21 14:18:05.675920] gpu: 1
[2022-06-21 14:18:05.675960] seed 0
[2022-06-21 14:18:09.394564] EPOCH 0...
[2022-06-21 14:18:11.275498] PRETRAINED 7 LAYERS
[2022-06-21 14:18:11.989302] VALID LOSS: 0.299 
[2022-06-21 14:18:12.034082]   best model so far
[2022-06-21 14:18:12.034160] EPOCH 1...
[2022-06-21 14:18:13.072190] TRAIN LOSS: 0.254 
[2022-06-21 14:18:13.327330] VALID LOSS: 0.142 
[2022-06-21 14:18:13.373112]   best model so far
[2022-06-21 14:18:13.373188] EPOCH 2...
[2022-06-21 14:18:13.697582] TRAIN LOSS: 0.130 
[2022-06-21 14:18:14.012273] VALID LOSS: 0.052 
[2022-06-21 14:18:14.058442]   best model so far
[2022-06-21 14:18:14.058518] EPOCH 3...
[2022-06-21 14:18:14.518581] TRAIN LOSS: 0.072 
[2022-06-21 14:18:14.827522] VALID LOSS: 0.033 
[2022-06-21 14:18:14.873361]   best model so far
[2022-06-21 14:18:14.873438] EPOCH 4...
[2022-06-21 14:18:15.223619] TRAIN LOSS: 0.068 
[2022-06-21 14:18:15.545581] VALID LOSS: 0.033 
[2022-06-21 14:18:15.545782] EPOCH 5...
[2022-06-21 14:18:15.913761] TRAIN LOSS: 0.071 
[2022-06-21 14:18:16.247954] VALID LOSS: 0.034 
[2022-06-21 14:18:16.248247] EPOCH 6...
[2022-06-21 14:18:16.611496] TRAIN LOSS: 0.072 
[2022-06-21 14:19:37.950675] max_epochs: 500
[2022-06-21 14:19:37.950809] epoch_size: 2
[2022-06-21 14:19:37.950865] batch_size: 5
[2022-06-21 14:19:37.950914] pretrain_batch_size: 5
[2022-06-21 14:19:37.950974] valid_batch_size : 5
[2022-06-21 14:19:37.951029] lr: 0.001
[2022-06-21 14:19:37.951076] patience : 15
[2022-06-21 14:19:37.951122] early_stopping : 30
[2022-06-21 14:19:37.951171] top_k: [1, 3, 5, 10]
[2022-06-21 14:19:37.951216] problem: setcover
[2022-06-21 14:19:37.951262] gpu: 1
[2022-06-21 14:19:37.951306] seed 0
[2022-06-21 14:19:41.672954] EPOCH 0...
[2022-06-21 14:19:43.605797] PRETRAINED 7 LAYERS
[2022-06-21 14:19:44.306243] VALID LOSS: 0.299 
[2022-06-21 14:19:44.362247]   best model so far
[2022-06-21 14:19:44.362334] EPOCH 1...
[2022-06-21 14:19:45.410344] TRAIN LOSS: 0.254 
[2022-06-21 14:19:45.699466] VALID LOSS: 0.142 
[2022-06-21 14:19:45.748504]   best model so far
[2022-06-21 14:19:45.748595] EPOCH 2...
[2022-06-21 14:19:46.200687] TRAIN LOSS: 0.130 
[2022-06-21 14:19:46.504411] VALID LOSS: 0.052 
[2022-06-21 14:19:46.560971]   best model so far
[2022-06-21 14:19:46.561066] EPOCH 3...
[2022-06-21 14:19:46.964686] TRAIN LOSS: 0.072 
[2022-06-21 14:19:47.265363] VALID LOSS: 0.033 
[2022-06-21 14:19:47.323232]   best model so far
[2022-06-21 14:19:47.323325] EPOCH 4...
[2022-06-21 14:19:47.741357] TRAIN LOSS: 0.068 
[2022-06-21 14:23:33.084686] max_epochs: 500
[2022-06-21 14:23:33.084834] epoch_size: 2
[2022-06-21 14:23:33.084890] batch_size: 5
[2022-06-21 14:23:33.084960] pretrain_batch_size: 5
[2022-06-21 14:23:33.085012] valid_batch_size : 5
[2022-06-21 14:23:33.085068] lr: 0.001
[2022-06-21 14:23:33.085115] patience : 15
[2022-06-21 14:23:33.085160] early_stopping : 30
[2022-06-21 14:23:33.085206] top_k: [1, 3, 5, 10]
[2022-06-21 14:23:33.085250] problem: setcover
[2022-06-21 14:23:33.085294] gpu: 1
[2022-06-21 14:23:33.085337] seed 0
[2022-06-21 14:23:36.779894] EPOCH 0...
[2022-06-21 14:23:38.652230] PRETRAINED 7 LAYERS
[2022-06-21 14:23:39.394406] VALID LOSS: 0.299 
[2022-06-21 14:23:39.451543]   best model so far
[2022-06-21 14:23:39.451638] EPOCH 1...
[2022-06-21 14:24:56.241835] max_epochs: 500
[2022-06-21 14:24:56.241984] epoch_size: 2
[2022-06-21 14:24:56.242048] batch_size: 5
[2022-06-21 14:24:56.242095] pretrain_batch_size: 5
[2022-06-21 14:24:56.242140] valid_batch_size : 5
[2022-06-21 14:24:56.242188] lr: 0.001
[2022-06-21 14:24:56.242232] patience : 15
[2022-06-21 14:24:56.242273] early_stopping : 30
[2022-06-21 14:24:56.242317] top_k: [1, 3, 5, 10]
[2022-06-21 14:24:56.242358] problem: setcover
[2022-06-21 14:24:56.242400] gpu: 1
[2022-06-21 14:24:56.242440] seed 0
[2022-06-21 14:24:59.938544] EPOCH 0...
[2022-06-21 14:25:02.052292] PRETRAINED 7 LAYERS
[2022-06-21 14:25:02.797375] VALID LOSS: 0.299 
[2022-06-21 14:25:02.843708]   best model so far
[2022-06-21 14:25:02.843818] EPOCH 1...
[2022-06-21 14:26:12.047681] max_epochs: 500
[2022-06-21 14:26:12.047813] epoch_size: 2
[2022-06-21 14:26:12.047868] batch_size: 5
[2022-06-21 14:26:12.047914] pretrain_batch_size: 5
[2022-06-21 14:26:12.047959] valid_batch_size : 5
[2022-06-21 14:26:12.048007] lr: 0.001
[2022-06-21 14:26:12.048049] patience : 15
[2022-06-21 14:26:12.048090] early_stopping : 30
[2022-06-21 14:26:12.048132] top_k: [1, 3, 5, 10]
[2022-06-21 14:26:12.048173] problem: setcover
[2022-06-21 14:26:12.048213] gpu: 1
[2022-06-21 14:26:12.048253] seed 0
[2022-06-21 14:26:15.747186] EPOCH 0...
[2022-06-21 14:26:17.734426] PRETRAINED 7 LAYERS
[2022-06-21 14:26:18.446904] VALID LOSS: 0.299 
[2022-06-21 14:26:18.492043]   best model so far
[2022-06-21 14:26:18.492126] EPOCH 1...
[2022-06-21 14:32:19.056667] max_epochs: 500
[2022-06-21 14:32:19.056822] epoch_size: 2
[2022-06-21 14:32:19.056879] batch_size: 5
[2022-06-21 14:32:19.056959] pretrain_batch_size: 5
[2022-06-21 14:32:19.057010] valid_batch_size : 5
[2022-06-21 14:32:19.057065] lr: 0.001
[2022-06-21 14:32:19.057112] patience : 15
[2022-06-21 14:32:19.057157] early_stopping : 30
[2022-06-21 14:32:19.057204] top_k: [1, 3, 5, 10]
[2022-06-21 14:32:19.057247] problem: setcover
[2022-06-21 14:32:19.057291] gpu: 1
[2022-06-21 14:32:19.057333] seed 0
[2022-06-21 14:32:22.798418] EPOCH 0...
[2022-06-21 14:32:24.797963] PRETRAINED 7 LAYERS
[2022-06-21 14:32:25.568347] VALID LOSS: 0.299 
[2022-06-21 14:32:25.616881]   best model so far
[2022-06-21 14:32:25.617018] EPOCH 1...
[2022-06-21 14:33:12.737275] max_epochs: 500
[2022-06-21 14:33:12.737431] epoch_size: 2
[2022-06-21 14:33:12.737485] batch_size: 5
[2022-06-21 14:33:12.737531] pretrain_batch_size: 5
[2022-06-21 14:33:12.737587] valid_batch_size : 5
[2022-06-21 14:33:12.737648] lr: 0.001
[2022-06-21 14:33:12.737697] patience : 15
[2022-06-21 14:33:12.737743] early_stopping : 30
[2022-06-21 14:33:12.737791] top_k: [1, 3, 5, 10]
[2022-06-21 14:33:12.737837] problem: setcover
[2022-06-21 14:33:12.737882] gpu: 1
[2022-06-21 14:33:12.737926] seed 0
[2022-06-21 14:33:16.453810] EPOCH 0...
[2022-06-21 14:33:18.239480] PRETRAINED 7 LAYERS
[2022-06-21 14:33:18.976381] VALID LOSS: 0.299 
[2022-06-21 14:33:19.026145]   best model so far
[2022-06-21 14:33:19.026230] EPOCH 1...
[2022-06-21 14:34:17.668016] max_epochs: 500
[2022-06-21 14:34:17.668158] epoch_size: 2
[2022-06-21 14:34:17.668212] batch_size: 5
[2022-06-21 14:34:17.668258] pretrain_batch_size: 5
[2022-06-21 14:34:17.668301] valid_batch_size : 5
[2022-06-21 14:34:17.668364] lr: 0.001
[2022-06-21 14:34:17.668407] patience : 15
[2022-06-21 14:34:17.668448] early_stopping : 30
[2022-06-21 14:34:17.668491] top_k: [1, 3, 5, 10]
[2022-06-21 14:34:17.668532] problem: setcover
[2022-06-21 14:34:17.668572] gpu: 1
[2022-06-21 14:34:17.668612] seed 0
[2022-06-21 14:34:21.377069] EPOCH 0...
[2022-06-21 14:34:23.248873] PRETRAINED 7 LAYERS
[2022-06-21 14:34:23.992400] VALID LOSS: 0.299 
[2022-06-21 14:34:24.041526]   best model so far
[2022-06-21 14:34:24.041613] EPOCH 1...
[2022-06-21 14:36:21.166211] max_epochs: 500
[2022-06-21 14:36:21.166351] epoch_size: 2
[2022-06-21 14:36:21.166404] batch_size: 5
[2022-06-21 14:36:21.166448] pretrain_batch_size: 5
[2022-06-21 14:36:21.166491] valid_batch_size : 5
[2022-06-21 14:36:21.166537] lr: 0.001
[2022-06-21 14:36:21.166578] patience : 15
[2022-06-21 14:36:21.166619] early_stopping : 30
[2022-06-21 14:36:21.166660] top_k: [1, 3, 5, 10]
[2022-06-21 14:36:21.166700] problem: setcover
[2022-06-21 14:36:21.166739] gpu: 1
[2022-06-21 14:36:21.166778] seed 0
[2022-06-21 14:36:24.873391] EPOCH 0...
[2022-06-21 14:36:26.643896] PRETRAINED 7 LAYERS
[2022-06-21 14:36:27.392846] VALID LOSS: 0.299 
[2022-06-21 14:36:27.440306]   best model so far
[2022-06-21 14:36:27.440385] EPOCH 1...
[2022-06-21 14:38:50.894812] max_epochs: 500
[2022-06-21 14:38:50.894950] epoch_size: 2
[2022-06-21 14:38:50.895004] batch_size: 5
[2022-06-21 14:38:50.895050] pretrain_batch_size: 5
[2022-06-21 14:38:50.895095] valid_batch_size : 5
[2022-06-21 14:38:50.895144] lr: 0.001
[2022-06-21 14:38:50.895187] patience : 15
[2022-06-21 14:38:50.895229] early_stopping : 30
[2022-06-21 14:38:50.895273] top_k: [1, 3, 5, 10]
[2022-06-21 14:38:50.895315] problem: setcover
[2022-06-21 14:38:50.895355] gpu: 1
[2022-06-21 14:38:50.895397] seed 0
[2022-06-21 14:38:54.602657] EPOCH 0...
[2022-06-21 14:38:56.642959] PRETRAINED 7 LAYERS
[2022-06-21 14:38:57.465156] VALID LOSS: 0.299 
[2022-06-21 14:38:57.514094]   best model so far
[2022-06-21 14:38:57.514216] EPOCH 1...
[2022-06-21 14:42:18.705644] max_epochs: 500
[2022-06-21 14:42:18.705803] epoch_size: 2
[2022-06-21 14:42:18.705858] batch_size: 5
[2022-06-21 14:42:18.705903] pretrain_batch_size: 5
[2022-06-21 14:42:18.705959] valid_batch_size : 5
[2022-06-21 14:42:18.706009] lr: 0.001
[2022-06-21 14:42:18.706052] patience : 15
[2022-06-21 14:42:18.706094] early_stopping : 30
[2022-06-21 14:42:18.706143] top_k: [1, 3, 5, 10]
[2022-06-21 14:42:18.706184] problem: setcover
[2022-06-21 14:42:18.706226] gpu: 1
[2022-06-21 14:42:18.706266] seed 0
[2022-06-21 14:42:22.498303] EPOCH 0...
[2022-06-21 14:42:24.473404] PRETRAINED 7 LAYERS
[2022-06-21 14:42:25.243613] VALID LOSS: 0.299 
[2022-06-21 14:42:25.293197]   best model so far
[2022-06-21 14:42:25.293278] EPOCH 1...
[2022-06-21 14:43:35.863153] max_epochs: 500
[2022-06-21 14:43:35.863310] epoch_size: 2
[2022-06-21 14:43:35.863367] batch_size: 5
[2022-06-21 14:43:35.863428] pretrain_batch_size: 5
[2022-06-21 14:43:35.863479] valid_batch_size : 5
[2022-06-21 14:43:35.863534] lr: 0.001
[2022-06-21 14:43:35.863582] patience : 15
[2022-06-21 14:43:35.863629] early_stopping : 30
[2022-06-21 14:43:35.863676] top_k: [1, 3, 5, 10]
[2022-06-21 14:43:35.863722] problem: setcover
[2022-06-21 14:43:35.863767] gpu: 1
[2022-06-21 14:43:35.863812] seed 0
[2022-06-21 14:43:39.584541] EPOCH 0...
[2022-06-21 14:43:41.745657] PRETRAINED 7 LAYERS
[2022-06-21 14:44:02.480146] max_epochs: 500
[2022-06-21 14:44:02.480308] epoch_size: 2
[2022-06-21 14:44:02.480364] batch_size: 5
[2022-06-21 14:44:02.480421] pretrain_batch_size: 5
[2022-06-21 14:44:02.480467] valid_batch_size : 5
[2022-06-21 14:44:02.480519] lr: 0.001
[2022-06-21 14:44:02.480577] patience : 15
[2022-06-21 14:44:02.480623] early_stopping : 30
[2022-06-21 14:44:02.480670] top_k: [1, 3, 5, 10]
[2022-06-21 14:44:02.480713] problem: setcover
[2022-06-21 14:44:02.480755] gpu: 1
[2022-06-21 14:44:02.480796] seed 0
[2022-06-21 14:44:06.188344] EPOCH 0...
[2022-06-21 14:44:08.193072] PRETRAINED 7 LAYERS
[2022-06-21 14:44:08.912412] VALID LOSS: 0.741 
[2022-06-21 14:44:08.956582]   best model so far
[2022-06-21 14:44:08.956670] EPOCH 1...
[2022-06-21 14:44:10.101166] TRAIN LOSS: 1.245 
[2022-06-21 14:44:10.386143] VALID LOSS: 0.633 
[2022-06-21 14:44:10.434253]   best model so far
[2022-06-21 14:44:10.434343] EPOCH 2...
[2022-06-21 14:44:10.878343] TRAIN LOSS: 1.242 
[2022-06-21 14:44:11.161345] VALID LOSS: 0.609 
[2022-06-21 14:44:11.218942]   best model so far
[2022-06-21 14:44:11.219037] EPOCH 3...
[2022-06-21 14:44:11.777388] TRAIN LOSS: 1.237 
[2022-06-21 14:44:12.090205] VALID LOSS: 0.653 
[2022-06-21 14:44:12.090554] EPOCH 4...
[2022-06-21 14:44:12.554773] TRAIN LOSS: 1.236 
[2022-06-21 14:44:12.853781] VALID LOSS: 0.680 
[2022-06-21 14:44:12.854060] EPOCH 5...
[2022-06-21 14:44:13.360002] TRAIN LOSS: 1.243 
[2022-06-21 14:44:13.645874] VALID LOSS: 0.686 
[2022-06-21 14:44:13.646171] EPOCH 6...
[2022-06-21 14:44:14.125757] TRAIN LOSS: 1.230 
[2022-06-21 14:44:14.423274] VALID LOSS: 0.638 
[2022-06-21 14:44:14.423551] EPOCH 7...
[2022-06-21 14:44:14.905632] TRAIN LOSS: 1.235 
[2022-06-21 14:44:15.199093] VALID LOSS: 0.600 
[2022-06-21 14:44:15.257701]   best model so far
[2022-06-21 14:44:15.257799] EPOCH 8...
[2022-06-21 14:44:15.704489] TRAIN LOSS: 1.246 
[2022-06-21 14:44:15.999647] VALID LOSS: 0.641 
[2022-06-21 14:44:15.999973] EPOCH 9...
[2022-06-21 14:44:16.478865] TRAIN LOSS: 1.228 
[2022-06-21 14:44:16.756523] VALID LOSS: 0.682 
[2022-06-21 14:44:16.756805] EPOCH 10...
[2022-06-21 14:44:17.246246] TRAIN LOSS: 1.241 
[2022-06-21 14:44:17.540326] VALID LOSS: 0.699 
[2022-06-21 14:44:17.540643] EPOCH 11...
[2022-06-21 14:44:18.017679] TRAIN LOSS: 1.242 
[2022-06-21 14:44:18.320393] VALID LOSS: 0.689 
[2022-06-21 14:44:18.320675] EPOCH 12...
[2022-06-21 14:44:18.807913] TRAIN LOSS: 1.244 
[2022-06-21 14:44:19.111812] VALID LOSS: 0.669 
[2022-06-21 14:44:19.112122] EPOCH 13...
[2022-06-21 14:44:19.592912] TRAIN LOSS: 1.232 
[2022-06-21 14:44:19.900771] VALID LOSS: 0.643 
[2022-06-21 14:44:19.901107] EPOCH 14...
[2022-06-21 14:44:20.393551] TRAIN LOSS: 1.212 
[2022-06-21 14:44:20.668886] VALID LOSS: 0.627 
[2022-06-21 14:44:20.669236] EPOCH 15...
[2022-06-21 14:44:21.109640] TRAIN LOSS: 1.186 
[2022-06-21 14:44:21.403136] VALID LOSS: 0.610 
[2022-06-21 14:44:21.403446] EPOCH 16...
[2022-06-21 14:44:21.881779] TRAIN LOSS: 1.202 
[2022-06-21 14:44:22.186702] VALID LOSS: 0.617 
[2022-06-21 14:44:22.187029] EPOCH 17...
[2022-06-21 14:44:22.685064] TRAIN LOSS: 1.227 
[2022-06-21 14:44:22.979592] VALID LOSS: 0.671 
[2022-06-21 14:44:22.979889] EPOCH 18...
[2022-06-21 14:44:23.439671] TRAIN LOSS: 1.176 
[2022-06-21 14:44:23.691911] VALID LOSS: 0.577 
[2022-06-21 14:44:23.747820]   best model so far
[2022-06-21 14:44:23.747916] EPOCH 19...
[2022-06-21 14:44:24.252741] TRAIN LOSS: 1.219 
[2022-06-21 14:44:24.553769] VALID LOSS: 0.551 
[2022-06-21 14:44:24.613694]   best model so far
[2022-06-21 14:44:24.613799] EPOCH 20...
[2022-06-21 14:44:25.115961] TRAIN LOSS: 1.190 
[2022-06-21 14:44:25.410035] VALID LOSS: 0.676 
[2022-06-21 14:44:25.410261] EPOCH 21...
[2022-06-21 14:44:25.906763] TRAIN LOSS: 1.269 
[2022-06-21 14:44:26.203896] VALID LOSS: 0.803 
[2022-06-21 14:44:26.204134] EPOCH 22...
[2022-06-21 14:44:26.680512] TRAIN LOSS: 1.274 
[2022-06-21 14:44:26.949402] VALID LOSS: 0.699 
[2022-06-21 14:44:26.949626] EPOCH 23...
[2022-06-21 14:44:27.422708] TRAIN LOSS: 1.188 
[2022-06-21 14:44:27.709226] VALID LOSS: 0.560 
[2022-06-21 14:44:27.709433] EPOCH 24...
[2022-06-21 14:44:28.207746] TRAIN LOSS: 1.147 
[2022-06-21 14:44:28.507341] VALID LOSS: 0.538 
[2022-06-21 14:44:28.565068]   best model so far
[2022-06-21 14:44:28.565167] EPOCH 25...
[2022-06-21 14:44:29.039930] TRAIN LOSS: 1.280 
[2022-06-21 14:44:29.340223] VALID LOSS: 0.627 
[2022-06-21 14:44:29.340464] EPOCH 26...
[2022-06-21 14:44:29.812468] TRAIN LOSS: 1.247 
[2022-06-21 14:44:30.094379] VALID LOSS: 0.734 
[2022-06-21 14:44:30.094584] EPOCH 27...
[2022-06-21 14:44:30.599915] TRAIN LOSS: 1.263 
[2022-06-21 14:44:30.858248] VALID LOSS: 0.776 
[2022-06-21 14:44:30.858629] EPOCH 28...
[2022-06-21 14:44:31.348357] TRAIN LOSS: 1.257 
[2022-06-21 14:44:31.622062] VALID LOSS: 0.754 
[2022-06-21 14:44:31.622290] EPOCH 29...
[2022-06-21 14:44:32.092978] TRAIN LOSS: 1.195 
[2022-06-21 14:44:32.383844] VALID LOSS: 0.703 
[2022-06-21 14:44:32.384075] EPOCH 30...
[2022-06-21 14:44:32.875683] TRAIN LOSS: 1.208 
[2022-06-21 14:44:33.160813] VALID LOSS: 0.651 
[2022-06-21 14:44:33.161121] EPOCH 31...
[2022-06-21 14:44:33.658617] TRAIN LOSS: 1.224 
[2022-06-21 14:44:33.950533] VALID LOSS: 0.620 
[2022-06-21 14:44:33.950731] EPOCH 32...
[2022-06-21 14:44:34.433469] TRAIN LOSS: 1.220 
[2022-06-21 14:44:34.718547] VALID LOSS: 0.601 
[2022-06-21 14:44:34.718783] EPOCH 33...
[2022-06-21 14:44:35.229676] TRAIN LOSS: 1.256 
[2022-06-21 14:44:35.531558] VALID LOSS: 0.612 
[2022-06-21 14:44:35.531792] EPOCH 34...
[2022-06-21 14:44:36.037154] TRAIN LOSS: 1.255 
[2022-06-21 14:44:36.348510] VALID LOSS: 0.639 
[2022-06-21 14:44:36.348846] EPOCH 35...
[2022-06-21 14:44:36.848066] TRAIN LOSS: 1.122 
[2022-06-21 14:44:37.153604] VALID LOSS: 0.645 
[2022-06-21 14:44:37.153811] EPOCH 36...
[2022-06-21 14:44:37.659917] TRAIN LOSS: 1.224 
[2022-06-21 14:44:37.964163] VALID LOSS: 0.645 
[2022-06-21 14:44:37.964470] EPOCH 37...
[2022-06-21 14:44:38.463152] TRAIN LOSS: 1.227 
[2022-06-21 14:44:38.741040] VALID LOSS: 0.643 
[2022-06-21 14:44:38.741320] EPOCH 38...
[2022-06-21 14:44:39.224011] TRAIN LOSS: 1.258 
[2022-06-21 14:44:39.515135] VALID LOSS: 0.652 
[2022-06-21 14:44:39.515399] EPOCH 39...
[2022-06-21 14:44:40.021570] TRAIN LOSS: 1.226 
[2022-06-21 14:44:40.305208] VALID LOSS: 0.665 
[2022-06-21 14:44:40.305680]   15 epochs without improvement, decreasing learning rate to 0.0002
[2022-06-21 14:44:40.305828] EPOCH 40...
[2022-06-21 14:44:40.788988] TRAIN LOSS: 1.243 
[2022-06-21 14:44:41.067393] VALID LOSS: 0.667 
[2022-06-21 14:44:41.067685] EPOCH 41...
[2022-06-21 14:44:41.532286] TRAIN LOSS: 1.228 
[2022-06-21 14:44:41.827771] VALID LOSS: 0.667 
[2022-06-21 14:44:41.828096] EPOCH 42...
[2022-06-21 14:44:42.324102] TRAIN LOSS: 1.220 
[2022-06-21 14:44:42.622439] VALID LOSS: 0.667 
[2022-06-21 14:44:42.622773] EPOCH 43...
[2022-06-21 14:44:43.086927] TRAIN LOSS: 1.193 
[2022-06-21 14:44:43.387452] VALID LOSS: 0.665 
[2022-06-21 14:44:43.387734] EPOCH 44...
[2022-06-21 14:44:43.893501] TRAIN LOSS: 1.221 
[2022-06-21 14:44:44.163800] VALID LOSS: 0.662 
[2022-06-21 14:44:44.164104] EPOCH 45...
[2022-06-21 14:44:44.627827] TRAIN LOSS: 1.250 
[2022-06-21 14:44:44.925889] VALID LOSS: 0.659 
[2022-06-21 14:44:44.926176] EPOCH 46...
[2022-06-21 14:44:45.413402] TRAIN LOSS: 1.188 
[2022-06-21 14:44:45.689967] VALID LOSS: 0.656 
[2022-06-21 14:44:45.690246] EPOCH 47...
[2022-06-21 14:44:46.180548] TRAIN LOSS: 1.255 
[2022-06-21 14:44:46.480288] VALID LOSS: 0.654 
[2022-06-21 14:44:46.480567] EPOCH 48...
[2022-06-21 14:44:46.988902] TRAIN LOSS: 1.254 
[2022-06-21 14:44:47.284301] VALID LOSS: 0.653 
[2022-06-21 14:44:47.284621] EPOCH 49...
[2022-06-21 14:44:47.754821] TRAIN LOSS: 1.258 
[2022-06-21 14:44:48.054464] VALID LOSS: 0.654 
[2022-06-21 14:44:48.054924] EPOCH 50...
[2022-06-21 14:44:48.552581] TRAIN LOSS: 1.223 
[2022-06-21 14:44:48.853463] VALID LOSS: 0.655 
[2022-06-21 14:44:48.853778] EPOCH 51...
[2022-06-21 14:44:49.326150] TRAIN LOSS: 1.250 
[2022-06-21 14:44:49.627539] VALID LOSS: 0.656 
[2022-06-21 14:44:49.627850] EPOCH 52...
[2022-06-21 14:44:50.102895] TRAIN LOSS: 1.220 
[2022-06-21 14:44:50.394721] VALID LOSS: 0.658 
[2022-06-21 14:44:50.395019] EPOCH 53...
[2022-06-21 14:44:50.910214] TRAIN LOSS: 1.162 
[2022-06-21 14:44:51.211925] VALID LOSS: 0.656 
[2022-06-21 14:44:51.212254] EPOCH 54...
[2022-06-21 14:44:51.717350] TRAIN LOSS: 1.227 
[2022-06-21 14:44:51.981606] VALID LOSS: 0.653 
[2022-06-21 14:44:51.981967]   30 epochs without improvement, early stopping
[2022-06-21 14:44:52.322966] BEST VALID LOSS: 0.538 
[2022-06-21 14:51:53.518231] max_epochs: 500
[2022-06-21 14:51:53.518374] epoch_size: 2
[2022-06-21 14:51:53.518446] batch_size: 5
[2022-06-21 14:51:53.518507] pretrain_batch_size: 5
[2022-06-21 14:51:53.518553] valid_batch_size : 5
[2022-06-21 14:51:53.518606] lr: 0.001
[2022-06-21 14:51:53.518651] patience : 15
[2022-06-21 14:51:53.518693] early_stopping : 30
[2022-06-21 14:51:53.518738] top_k: [1, 3, 5, 10]
[2022-06-21 14:51:53.518782] problem: setcover
[2022-06-21 14:51:53.518824] gpu: 1
[2022-06-21 14:51:53.518866] seed 0
[2022-06-21 14:51:57.254352] EPOCH 0...
[2022-06-21 14:51:59.148253] PRETRAINED 7 LAYERS
[2022-06-21 14:51:59.930647] VALID LOSS: 0.741 
[2022-06-21 14:51:59.978984]   best model so far
[2022-06-21 14:51:59.979082] EPOCH 1...
[2022-06-21 14:52:01.121283] TRAIN LOSS: 1.245 
[2022-06-21 14:52:01.418227] VALID LOSS: 0.633 
[2022-06-21 14:52:01.464439]   best model so far
[2022-06-21 14:52:01.464515] EPOCH 2...
[2022-06-21 14:52:01.988015] TRAIN LOSS: 1.242 
[2022-06-21 14:52:02.266303] VALID LOSS: 0.610 
[2022-06-21 14:52:02.322253]   best model so far
[2022-06-21 14:52:02.322345] EPOCH 3...
[2022-06-21 14:52:02.824543] TRAIN LOSS: 1.237 
[2022-06-21 14:52:03.115155] VALID LOSS: 0.654 
[2022-06-21 14:52:03.115445] EPOCH 4...
[2022-06-21 14:52:03.612239] TRAIN LOSS: 1.236 
[2022-06-21 15:00:31.999343] max_epochs: 500
[2022-06-21 15:00:31.999490] epoch_size: 2
[2022-06-21 15:00:31.999546] batch_size: 5
[2022-06-21 15:00:31.999602] pretrain_batch_size: 5
[2022-06-21 15:00:31.999647] valid_batch_size : 5
[2022-06-21 15:00:31.999697] lr: 0.001
[2022-06-21 15:00:31.999741] patience : 15
[2022-06-21 15:00:31.999784] early_stopping : 30
[2022-06-21 15:00:31.999829] top_k: [1, 3, 5, 10]
[2022-06-21 15:00:31.999872] problem: setcover
[2022-06-21 15:00:31.999914] gpu: 1
[2022-06-21 15:00:31.999956] seed 0
[2022-06-21 15:00:35.752415] EPOCH 0...
[2022-06-21 15:59:18.553878] max_epochs: 500
[2022-06-21 15:59:18.554010] epoch_size: 2
[2022-06-21 15:59:18.554068] batch_size: 5
[2022-06-21 15:59:18.554132] pretrain_batch_size: 5
[2022-06-21 15:59:18.554182] valid_batch_size : 5
[2022-06-21 15:59:18.554240] lr: 0.001
[2022-06-21 15:59:18.554288] patience : 15
[2022-06-21 15:59:18.554335] early_stopping : 30
[2022-06-21 15:59:18.554386] top_k: [1, 3, 5, 10]
[2022-06-21 15:59:18.554433] problem: setcover
[2022-06-21 15:59:18.554480] gpu: 1
[2022-06-21 15:59:18.554527] seed 0
[2022-06-21 15:59:22.269106] EPOCH 0...
[2022-06-21 15:59:24.200936] PRETRAINED 7 LAYERS
[2022-06-21 15:59:24.928655] VALID LOSS: 0.712 
[2022-06-21 15:59:24.973183]   best model so far
[2022-06-21 15:59:24.973288] EPOCH 1...
[2022-06-21 15:59:26.088320] TRAIN LOSS: 1.210 
[2022-06-21 15:59:26.392825] VALID LOSS: 0.638 
[2022-06-21 15:59:26.438512]   best model so far
[2022-06-21 15:59:26.438655] EPOCH 2...
[2022-06-21 15:59:26.992666] TRAIN LOSS: 1.205 
[2022-06-21 15:59:27.283369] VALID LOSS: 0.645 
[2022-06-21 15:59:27.283611] EPOCH 3...
[2022-06-21 15:59:27.761066] TRAIN LOSS: 1.204 
[2022-06-21 15:59:28.019649] VALID LOSS: 0.655 
[2022-06-21 15:59:28.019867] EPOCH 4...
[2022-06-21 15:59:28.484793] TRAIN LOSS: 1.201 
[2022-06-21 15:59:28.770610] VALID LOSS: 0.668 
[2022-06-21 15:59:28.770868] EPOCH 5...
[2022-06-21 15:59:29.251418] TRAIN LOSS: 1.212 
[2022-06-21 15:59:29.541341] VALID LOSS: 0.677 
[2022-06-21 15:59:29.541552] EPOCH 6...
[2022-06-21 15:59:30.038880] TRAIN LOSS: 1.201 
[2022-06-21 15:59:30.314455] VALID LOSS: 0.642 
[2022-06-21 15:59:30.314627] EPOCH 7...
[2022-06-21 15:59:30.790059] TRAIN LOSS: 1.203 
[2022-06-21 15:59:31.076742] VALID LOSS: 0.620 
[2022-06-21 15:59:31.133630]   best model so far
[2022-06-21 15:59:31.133722] EPOCH 8...
[2022-06-21 15:59:31.607484] TRAIN LOSS: 1.213 
[2022-06-21 15:59:31.897239] VALID LOSS: 0.666 
[2022-06-21 15:59:31.897466] EPOCH 9...
[2022-06-21 15:59:32.362977] TRAIN LOSS: 1.200 
[2022-06-21 15:59:32.673211] VALID LOSS: 0.679 
[2022-06-21 15:59:32.673452] EPOCH 10...
[2022-06-21 15:59:33.169927] TRAIN LOSS: 1.211 
[2022-06-21 15:59:33.454585] VALID LOSS: 0.674 
[2022-06-21 15:59:33.454807] EPOCH 11...
[2022-06-21 15:59:33.924930] TRAIN LOSS: 1.209 
[2022-06-21 15:59:34.216694] VALID LOSS: 0.658 
[2022-06-21 15:59:34.216937] EPOCH 12...
[2022-06-21 15:59:34.720942] TRAIN LOSS: 1.209 
[2022-06-21 15:59:35.010337] VALID LOSS: 0.651 
[2022-06-21 15:59:35.010564] EPOCH 13...
[2022-06-21 15:59:35.508017] TRAIN LOSS: 1.205 
[2022-06-21 15:59:35.791969] VALID LOSS: 0.644 
[2022-06-21 15:59:35.792187] EPOCH 14...
[2022-06-21 15:59:36.274135] TRAIN LOSS: 1.197 
[2022-06-21 15:59:36.567820] VALID LOSS: 0.637 
[2022-06-21 15:59:36.568043] EPOCH 15...
[2022-06-21 15:59:37.051939] TRAIN LOSS: 1.181 
[2022-06-21 15:59:37.339780] VALID LOSS: 0.615 
[2022-06-21 15:59:37.396435]   best model so far
[2022-06-21 15:59:37.396525] EPOCH 16...
[2022-06-21 15:59:37.884617] TRAIN LOSS: 1.190 
[2022-06-21 15:59:38.166854] VALID LOSS: 0.617 
[2022-06-21 15:59:38.167019] EPOCH 17...
[2022-06-21 15:59:38.668864] TRAIN LOSS: 1.202 
[2022-06-21 15:59:38.976673] VALID LOSS: 0.656 
[2022-06-21 15:59:38.976976] EPOCH 18...
[2022-06-21 15:59:39.461178] TRAIN LOSS: 1.168 
[2022-06-21 15:59:39.712042] VALID LOSS: 0.636 
[2022-06-21 15:59:39.712267] EPOCH 19...
[2022-06-21 15:59:40.232000] TRAIN LOSS: 1.187 
[2022-06-21 15:59:40.542115] VALID LOSS: 0.610 
[2022-06-21 15:59:40.600990]   best model so far
[2022-06-21 15:59:40.601094] EPOCH 20...
[2022-06-21 15:59:41.074885] TRAIN LOSS: 1.177 
[2022-06-21 15:59:41.357513] VALID LOSS: 0.658 
[2022-06-21 15:59:41.357748] EPOCH 21...
[2022-06-21 15:59:41.852630] TRAIN LOSS: 1.236 
[2022-06-21 15:59:42.155657] VALID LOSS: 0.756 
[2022-06-21 15:59:42.155891] EPOCH 22...
[2022-06-21 15:59:42.637590] TRAIN LOSS: 1.231 
[2022-06-21 15:59:42.906470] VALID LOSS: 0.713 
[2022-06-21 15:59:42.906699] EPOCH 23...
[2022-06-21 15:59:43.404553] TRAIN LOSS: 1.185 
[2022-06-21 15:59:43.715475] VALID LOSS: 0.607 
[2022-06-21 15:59:43.772942]   best model so far
[2022-06-21 15:59:43.773048] EPOCH 24...
[2022-06-21 15:59:44.241868] TRAIN LOSS: 1.172 
[2022-06-21 15:59:44.535356] VALID LOSS: 0.578 
[2022-06-21 15:59:44.593110]   best model so far
[2022-06-21 15:59:44.593210] EPOCH 25...
[2022-06-21 15:59:45.059491] TRAIN LOSS: 1.223 
[2022-06-21 15:59:45.365229] VALID LOSS: 0.619 
[2022-06-21 15:59:45.365512] EPOCH 26...
[2022-06-21 15:59:45.838516] TRAIN LOSS: 1.219 
[2022-06-21 15:59:46.128235] VALID LOSS: 0.678 
[2022-06-21 15:59:46.128706] EPOCH 27...
[2022-06-21 15:59:46.649613] TRAIN LOSS: 1.216 
[2022-06-21 15:59:46.952261] VALID LOSS: 0.713 
[2022-06-21 15:59:46.952578] EPOCH 28...
[2022-06-21 15:59:47.437174] TRAIN LOSS: 1.216 
[2022-06-21 15:59:47.719499] VALID LOSS: 0.715 
[2022-06-21 15:59:47.719813] EPOCH 29...
[2022-06-21 15:59:48.212900] TRAIN LOSS: 1.190 
[2022-06-21 15:59:48.509195] VALID LOSS: 0.694 
[2022-06-21 15:59:48.509467] EPOCH 30...
[2022-06-21 15:59:48.979137] TRAIN LOSS: 1.194 
[2022-06-21 15:59:49.263103] VALID LOSS: 0.669 
[2022-06-21 15:59:49.263418] EPOCH 31...
[2022-06-21 15:59:49.758643] TRAIN LOSS: 1.200 
[2022-06-21 15:59:50.051970] VALID LOSS: 0.651 
[2022-06-21 15:59:50.052168] EPOCH 32...
[2022-06-21 15:59:50.563759] TRAIN LOSS: 1.199 
[2022-06-21 15:59:50.843080] VALID LOSS: 0.638 
[2022-06-21 15:59:50.843396] EPOCH 33...
[2022-06-21 15:59:51.362704] TRAIN LOSS: 1.214 
[2022-06-21 15:59:51.624871] VALID LOSS: 0.639 
[2022-06-21 15:59:51.625167] EPOCH 34...
[2022-06-21 15:59:52.103298] TRAIN LOSS: 1.218 
[2022-06-21 15:59:52.416108] VALID LOSS: 0.647 
[2022-06-21 15:59:52.416404] EPOCH 35...
[2022-06-21 15:59:52.883105] TRAIN LOSS: 1.140 
[2022-06-21 15:59:53.166541] VALID LOSS: 0.646 
[2022-06-21 15:59:53.166826] EPOCH 36...
[2022-06-21 15:59:53.642133] TRAIN LOSS: 1.198 
[2022-06-21 15:59:53.906628] VALID LOSS: 0.643 
[2022-06-21 15:59:53.906848] EPOCH 37...
[2022-06-21 15:59:54.411950] TRAIN LOSS: 1.199 
[2022-06-21 15:59:54.694892] VALID LOSS: 0.640 
[2022-06-21 15:59:54.695153] EPOCH 38...
[2022-06-21 15:59:55.188246] TRAIN LOSS: 1.224 
[2022-06-21 15:59:55.473274] VALID LOSS: 0.648 
[2022-06-21 15:59:55.473549] EPOCH 39...
[2022-06-21 15:59:55.965865] TRAIN LOSS: 1.200 
[2022-06-21 15:59:56.224862] VALID LOSS: 0.658 
[2022-06-21 15:59:56.225135]   15 epochs without improvement, decreasing learning rate to 0.0002
[2022-06-21 15:59:56.225257] EPOCH 40...
[2022-06-21 15:59:56.680296] TRAIN LOSS: 1.218 
[2022-06-21 15:59:56.979883] VALID LOSS: 0.660 
[2022-06-21 15:59:56.980196] EPOCH 41...
[2022-06-21 15:59:57.461662] TRAIN LOSS: 1.199 
[2022-06-21 15:59:57.752432] VALID LOSS: 0.661 
[2022-06-21 15:59:57.752774] EPOCH 42...
[2022-06-21 15:59:58.246348] TRAIN LOSS: 1.197 
[2022-06-21 15:59:58.518142] VALID LOSS: 0.662 
[2022-06-21 15:59:58.518450] EPOCH 43...
[2022-06-21 15:59:59.025596] TRAIN LOSS: 1.180 
[2022-06-21 15:59:59.329901] VALID LOSS: 0.661 
[2022-06-21 15:59:59.330209] EPOCH 44...
[2022-06-21 15:59:59.845815] TRAIN LOSS: 1.199 
[2022-06-21 16:00:00.131204] VALID LOSS: 0.660 
[2022-06-21 16:00:00.131489] EPOCH 45...
[2022-06-21 16:00:00.619500] TRAIN LOSS: 1.220 
[2022-06-21 16:00:00.901907] VALID LOSS: 0.659 
[2022-06-21 16:00:00.902125] EPOCH 46...
[2022-06-21 16:00:01.364905] TRAIN LOSS: 1.181 
[2022-06-21 16:00:01.638898] VALID LOSS: 0.657 
[2022-06-21 16:00:01.639116] EPOCH 47...
[2022-06-21 16:00:02.118412] TRAIN LOSS: 1.217 
[2022-06-21 16:00:02.405422] VALID LOSS: 0.656 
[2022-06-21 16:00:02.405704] EPOCH 48...
[2022-06-21 16:00:02.858664] TRAIN LOSS: 1.218 
[2022-06-21 16:00:03.120155] VALID LOSS: 0.656 
[2022-06-21 16:00:03.120502] EPOCH 49...
[2022-06-21 16:00:03.613159] TRAIN LOSS: 1.217 
[2022-06-21 16:00:03.903646] VALID LOSS: 0.657 
[2022-06-21 16:00:03.903880] EPOCH 50...
[2022-06-21 16:00:04.400141] TRAIN LOSS: 1.200 
[2022-06-21 16:00:04.663207] VALID LOSS: 0.657 
[2022-06-21 16:00:04.663526] EPOCH 51...
[2022-06-21 16:00:05.146867] TRAIN LOSS: 1.216 
[2022-06-21 16:00:05.452459] VALID LOSS: 0.658 
[2022-06-21 16:00:05.452770] EPOCH 52...
[2022-06-21 16:00:05.924629] TRAIN LOSS: 1.198 
[2022-06-21 16:00:06.213193] VALID LOSS: 0.659 
[2022-06-21 16:00:06.213552] EPOCH 53...
[2022-06-21 16:00:06.665155] TRAIN LOSS: 1.166 
[2022-06-21 16:00:06.958805] VALID LOSS: 0.657 
[2022-06-21 16:00:06.959087] EPOCH 54...
[2022-06-21 16:00:07.424161] TRAIN LOSS: 1.202 
[2022-06-21 16:00:07.713710] VALID LOSS: 0.655 
[2022-06-21 16:00:07.713915]   30 epochs without improvement, early stopping
[2022-06-21 16:00:08.047143] BEST VALID LOSS: 0.578 
[2022-06-22 16:46:04.645807] max_epochs: 500
[2022-06-22 16:46:04.645963] epoch_size: 60
[2022-06-22 16:46:04.646018] batch_size: 32
[2022-06-22 16:46:04.646064] pretrain_batch_size: 32
[2022-06-22 16:46:04.646107] valid_batch_size : 32
[2022-06-22 16:46:04.646155] lr: 0.001
[2022-06-22 16:46:04.646198] patience : 15
[2022-06-22 16:46:04.646241] early_stopping : 30
[2022-06-22 16:46:04.646284] top_k: [1, 3, 5, 10]
[2022-06-22 16:46:04.646325] problem: setcover
[2022-06-22 16:46:04.646366] gpu: 1
[2022-06-22 16:46:04.646406] seed 0
[2022-06-22 16:46:08.358588] EPOCH 0...
[2022-06-22 16:47:22.998976] max_epochs: 500
[2022-06-22 16:47:22.999123] epoch_size: 60
[2022-06-22 16:47:22.999178] batch_size: 32
[2022-06-22 16:47:22.999224] pretrain_batch_size: 32
[2022-06-22 16:47:22.999268] valid_batch_size : 32
[2022-06-22 16:47:22.999329] lr: 0.001
[2022-06-22 16:47:22.999373] patience : 15
[2022-06-22 16:47:22.999415] early_stopping : 30
[2022-06-22 16:47:22.999459] top_k: [1, 3, 5, 10]
[2022-06-22 16:47:22.999503] problem: setcover
[2022-06-22 16:47:22.999544] gpu: 1
[2022-06-22 16:47:22.999585] seed 0
[2022-06-22 16:47:26.714764] EPOCH 0...
[2022-06-22 16:47:55.870981] PRETRAINED 7 LAYERS
[2022-06-22 16:48:28.408287] max_epochs: 500
[2022-06-22 16:48:28.408430] epoch_size: 60
[2022-06-22 16:48:28.408485] batch_size: 16
[2022-06-22 16:48:28.408531] pretrain_batch_size: 16
[2022-06-22 16:48:28.408575] valid_batch_size : 16
[2022-06-22 16:48:28.408636] lr: 0.001
[2022-06-22 16:48:28.408680] patience : 15
[2022-06-22 16:48:28.408722] early_stopping : 30
[2022-06-22 16:48:28.408767] top_k: [1, 3, 5, 10]
[2022-06-22 16:48:28.408823] problem: setcover
[2022-06-22 16:48:28.408867] gpu: 1
[2022-06-22 16:48:28.408909] seed 0
[2022-06-22 16:48:32.141029] EPOCH 0...
[2022-06-22 16:48:58.008364] PRETRAINED 7 LAYERS
[2022-06-22 16:49:02.443700] VALID LOSS: 0.713 
[2022-06-22 16:49:02.500185]   best model so far
[2022-06-22 16:49:02.500280] EPOCH 1...
[2022-06-22 16:49:51.922779] max_epochs: 500
[2022-06-22 16:49:51.922926] epoch_size: 60
[2022-06-22 16:49:51.922980] batch_size: 16
[2022-06-22 16:49:51.923025] pretrain_batch_size: 16
[2022-06-22 16:49:51.923080] valid_batch_size : 16
[2022-06-22 16:49:51.923129] lr: 0.001
[2022-06-22 16:49:51.923172] patience : 15
[2022-06-22 16:49:51.923213] early_stopping : 30
[2022-06-22 16:49:51.923257] top_k: [1, 3, 5, 10]
[2022-06-22 16:49:51.923300] problem: setcover
[2022-06-22 16:49:51.923341] gpu: 1
[2022-06-22 16:49:51.923381] seed 0
[2022-06-22 16:49:55.659229] EPOCH 0...
[2022-06-22 16:50:20.754033] PRETRAINED 7 LAYERS
[2022-06-22 16:50:25.059686] VALID LOSS: 0.727 
[2022-06-22 16:50:25.117530]   best model so far
[2022-06-22 16:50:25.117628] EPOCH 1...
[2022-06-22 16:50:54.908529] TRAIN LOSS: 1.353 
[2022-06-22 16:50:59.116731] VALID LOSS: 0.686 
[2022-06-22 16:50:59.174954]   best model so far
[2022-06-22 16:50:59.175042] EPOCH 2...
[2022-06-22 16:51:27.143554] TRAIN LOSS: 1.353 
[2022-06-22 16:51:30.891181] VALID LOSS: 0.683 
[2022-06-22 16:51:30.946743]   best model so far
[2022-06-22 16:51:30.946837] EPOCH 3...
[2022-06-22 16:51:58.602719] TRAIN LOSS: 1.349 
[2022-06-22 16:52:02.314098] VALID LOSS: 0.678 
[2022-06-22 16:52:02.375555]   best model so far
[2022-06-22 16:52:02.375717] EPOCH 4...
[2022-06-22 16:52:29.539167] TRAIN LOSS: 1.346 
[2022-06-22 16:52:33.223405] VALID LOSS: 0.696 
[2022-06-22 16:52:33.223615] EPOCH 5...
[2022-06-22 16:53:00.425354] TRAIN LOSS: 1.343 
[2022-06-22 16:53:04.013838] VALID LOSS: 0.681 
[2022-06-22 16:53:04.014165] EPOCH 6...
[2022-06-22 16:53:30.836528] TRAIN LOSS: 1.350 
[2022-06-22 16:53:34.426178] VALID LOSS: 0.684 
[2022-06-22 16:53:34.426418] EPOCH 7...
[2022-06-22 16:54:01.169105] TRAIN LOSS: 1.344 
[2022-06-22 16:54:04.720329] VALID LOSS: 0.684 
[2022-06-22 16:54:04.720595] EPOCH 8...
[2022-06-22 16:54:31.523547] TRAIN LOSS: 1.348 
[2022-06-22 16:54:35.304072] VALID LOSS: 0.690 
[2022-06-22 16:54:35.304350] EPOCH 9...
[2022-06-22 16:55:01.375527] TRAIN LOSS: 1.347 
[2022-06-22 16:55:04.774275] VALID LOSS: 0.676 
[2022-06-22 16:55:04.833882]   best model so far
[2022-06-22 16:55:04.833974] EPOCH 10...
[2022-06-22 16:55:31.084817] TRAIN LOSS: 1.350 
[2022-06-22 16:55:34.614013] VALID LOSS: 0.681 
[2022-06-22 16:55:34.614290] EPOCH 11...
[2022-06-22 16:56:00.761752] TRAIN LOSS: 1.343 
[2022-06-22 16:56:04.343051] VALID LOSS: 0.684 
[2022-06-22 16:56:04.343351] EPOCH 12...
[2022-06-22 16:56:30.559668] TRAIN LOSS: 1.347 
[2022-06-22 16:56:34.006089] VALID LOSS: 0.689 
[2022-06-22 16:56:34.006380] EPOCH 13...
[2022-06-22 16:57:00.479384] TRAIN LOSS: 1.347 
[2022-06-22 16:57:04.077057] VALID LOSS: 0.666 
[2022-06-22 16:57:04.133173]   best model so far
[2022-06-22 16:57:04.133266] EPOCH 14...
[2022-06-22 16:57:30.110994] TRAIN LOSS: 1.347 
[2022-06-22 16:57:33.719994] VALID LOSS: 0.676 
[2022-06-22 16:57:33.720276] EPOCH 15...
[2022-06-22 16:57:59.976110] TRAIN LOSS: 1.344 
[2022-06-22 16:58:03.294907] VALID LOSS: 0.684 
[2022-06-22 16:58:03.295195] EPOCH 16...
[2022-06-22 16:58:29.035716] TRAIN LOSS: 1.350 
[2022-06-22 16:58:32.496815] VALID LOSS: 0.680 
[2022-06-22 16:58:32.497157] EPOCH 17...
[2022-06-22 16:58:58.367553] TRAIN LOSS: 1.344 
[2022-06-22 16:59:01.802375] VALID LOSS: 0.673 
[2022-06-22 16:59:01.802737] EPOCH 18...
[2022-06-22 16:59:27.145230] TRAIN LOSS: 1.349 
[2022-06-22 16:59:30.547658] VALID LOSS: 0.678 
[2022-06-22 16:59:30.547979] EPOCH 19...
[2022-06-22 16:59:56.112602] TRAIN LOSS: 1.344 
[2022-06-22 16:59:59.507050] VALID LOSS: 0.681 
[2022-06-22 16:59:59.507320] EPOCH 20...
[2022-06-22 17:00:24.859014] TRAIN LOSS: 1.345 
[2022-06-22 17:00:28.211548] VALID LOSS: 0.680 
[2022-06-22 17:00:28.211969] EPOCH 21...
[2022-06-22 17:00:53.437920] TRAIN LOSS: 1.346 
[2022-06-22 17:00:56.901364] VALID LOSS: 0.686 
[2022-06-22 17:00:56.901673] EPOCH 22...
[2022-06-22 17:01:22.704252] TRAIN LOSS: 1.352 
[2022-06-22 17:01:26.078985] VALID LOSS: 0.690 
[2022-06-22 17:01:26.079252] EPOCH 23...
[2022-06-22 17:01:51.600816] TRAIN LOSS: 1.346 
[2022-06-22 17:01:54.926563] VALID LOSS: 0.683 
[2022-06-22 17:01:54.926880] EPOCH 24...
[2022-06-22 17:02:20.393508] TRAIN LOSS: 1.346 
[2022-06-22 17:02:23.642038] VALID LOSS: 0.675 
[2022-06-22 17:02:23.642357] EPOCH 25...
[2022-06-22 17:02:48.843423] TRAIN LOSS: 1.345 
[2022-06-22 17:02:52.321280] VALID LOSS: 0.691 
[2022-06-22 17:02:52.321556] EPOCH 26...
[2022-06-22 17:03:17.745739] TRAIN LOSS: 1.348 
[2022-06-22 17:03:21.131163] VALID LOSS: 0.689 
[2022-06-22 17:03:21.131422] EPOCH 27...
[2022-06-22 17:03:46.381562] TRAIN LOSS: 1.344 
[2022-06-22 17:03:49.844637] VALID LOSS: 0.688 
[2022-06-22 17:03:49.844948] EPOCH 28...
[2022-06-22 17:04:15.442709] TRAIN LOSS: 1.347 
[2022-06-22 17:04:18.786061] VALID LOSS: 0.690 
[2022-06-22 17:04:18.786291]   15 epochs without improvement, decreasing learning rate to 0.0002
[2022-06-22 17:04:18.786387] EPOCH 29...
[2022-06-22 17:04:44.059689] TRAIN LOSS: 1.346 
[2022-06-22 17:04:47.342442] VALID LOSS: 0.690 
[2022-06-22 17:04:47.342755] EPOCH 30...
[2022-06-22 17:05:12.410878] TRAIN LOSS: 1.348 
[2022-06-22 17:05:15.808485] VALID LOSS: 0.682 
[2022-06-22 17:05:15.808808] EPOCH 31...
[2022-06-22 17:05:40.838849] TRAIN LOSS: 1.347 
[2022-06-22 17:05:44.174008] VALID LOSS: 0.684 
[2022-06-22 17:05:44.174291] EPOCH 32...
[2022-06-22 17:06:09.222211] TRAIN LOSS: 1.347 
[2022-06-22 17:06:12.494122] VALID LOSS: 0.688 
[2022-06-22 17:06:12.494440] EPOCH 33...
[2022-06-22 17:06:37.100731] TRAIN LOSS: 1.343 
[2022-06-22 17:06:40.339119] VALID LOSS: 0.681 
[2022-06-22 17:06:40.339390] EPOCH 34...
[2022-06-22 17:07:05.635279] TRAIN LOSS: 1.348 
[2022-06-22 17:07:08.933806] VALID LOSS: 0.683 
[2022-06-22 17:07:08.934074] EPOCH 35...
[2022-06-22 17:07:33.944286] TRAIN LOSS: 1.349 
[2022-06-22 17:07:37.294297] VALID LOSS: 0.679 
[2022-06-22 17:07:37.294596] EPOCH 36...
[2022-06-22 17:08:02.773528] TRAIN LOSS: 1.349 
[2022-06-22 17:08:05.935551] VALID LOSS: 0.684 
[2022-06-22 17:08:05.935841] EPOCH 37...
[2022-06-22 17:08:30.906331] TRAIN LOSS: 1.350 
[2022-06-22 17:08:34.344010] VALID LOSS: 0.685 
[2022-06-22 17:08:34.344336] EPOCH 38...
[2022-06-22 17:08:59.642903] TRAIN LOSS: 1.346 
[2022-06-22 17:09:03.050298] VALID LOSS: 0.682 
[2022-06-22 17:09:03.050583] EPOCH 39...
[2022-06-22 17:09:27.951964] TRAIN LOSS: 1.344 
[2022-06-22 17:09:31.301034] VALID LOSS: 0.681 
[2022-06-22 17:09:31.301333] EPOCH 40...
[2022-06-22 17:09:56.800792] TRAIN LOSS: 1.345 
[2022-06-22 17:10:00.171346] VALID LOSS: 0.687 
[2022-06-22 17:10:00.171648] EPOCH 41...
[2022-06-22 17:10:24.975319] TRAIN LOSS: 1.346 
[2022-06-22 17:10:28.266298] VALID LOSS: 0.685 
[2022-06-22 17:10:28.266564] EPOCH 42...
[2022-06-22 17:10:53.495669] TRAIN LOSS: 1.345 
[2022-06-22 17:10:56.579220] VALID LOSS: 0.680 
[2022-06-22 17:10:56.579525] EPOCH 43...
[2022-06-22 17:11:21.413113] TRAIN LOSS: 1.346 
[2022-06-22 17:11:24.716393] VALID LOSS: 0.685 
[2022-06-22 17:11:24.716677]   30 epochs without improvement, early stopping
[2022-06-22 17:11:28.268601] BEST VALID LOSS: 0.666 
[2022-06-24 10:18:17.243351] max_epochs: 500
[2022-06-24 10:18:17.243480] epoch_size: 60
[2022-06-24 10:18:17.243533] batch_size: 16
[2022-06-24 10:18:17.243580] pretrain_batch_size: 16
[2022-06-24 10:18:17.243623] valid_batch_size : 16
[2022-06-24 10:18:17.243672] lr: 0.001
[2022-06-24 10:18:17.243714] patience : 15
[2022-06-24 10:18:17.243755] early_stopping : 30
[2022-06-24 10:18:17.243798] top_k: [1, 3, 5, 10]
[2022-06-24 10:18:17.243840] problem: setcover
[2022-06-24 10:18:17.243880] gpu: 1
[2022-06-24 10:18:17.243920] seed 0
[2022-06-24 10:18:21.001338] EPOCH 0...
[2022-06-24 10:18:46.543775] PRETRAINED 7 LAYERS
[2022-06-24 10:18:51.022261] VALID LOSS: 0.727 
[2022-06-24 10:18:51.080492]   best model so far
[2022-06-24 10:18:51.080592] EPOCH 1...
[2022-06-24 10:19:19.942987] TRAIN LOSS: 0.597 
[2022-06-24 10:19:23.934623] VALID LOSS: 0.324 
[2022-06-24 10:19:23.988513]   best model so far
[2022-06-24 10:19:23.988609] EPOCH 2...
[2022-06-24 10:19:51.299943] TRAIN LOSS: 0.418 
[2022-06-24 10:19:54.978604] VALID LOSS: 0.324 
[2022-06-24 10:19:55.026937]   best model so far
[2022-06-24 10:19:55.027015] EPOCH 3...
[2022-06-24 10:20:21.985937] TRAIN LOSS: 0.415 
[2022-06-24 10:20:25.653120] VALID LOSS: 0.324 
[2022-06-24 10:20:25.708702]   best model so far
[2022-06-24 10:20:25.708789] EPOCH 4...
[2022-06-24 10:20:53.162163] TRAIN LOSS: 0.424 
[2022-06-24 10:20:56.700969] VALID LOSS: 0.324 
[2022-06-24 10:20:56.755403]   best model so far
[2022-06-24 10:20:56.755504] EPOCH 5...
[2022-06-24 10:21:23.377956] TRAIN LOSS: 0.418 
[2022-06-24 10:21:27.250988] VALID LOSS: 0.324 
[2022-06-24 10:21:27.307098]   best model so far
[2022-06-24 10:21:27.307203] EPOCH 6...
[2022-06-24 10:21:53.934917] TRAIN LOSS: 0.414 
[2022-06-24 10:21:57.658670] VALID LOSS: 0.324 
[2022-06-24 10:21:57.712786]   best model so far
[2022-06-24 10:21:57.712887] EPOCH 7...
[2022-06-24 10:22:23.992278] TRAIN LOSS: 0.422 
[2022-06-24 10:22:27.730849] VALID LOSS: 0.324 
[2022-06-24 10:22:27.786188]   best model so far
[2022-06-24 10:22:27.786285] EPOCH 8...
[2022-06-24 10:22:54.173181] TRAIN LOSS: 0.416 
[2022-06-24 10:22:58.019542] VALID LOSS: 0.324 
[2022-06-24 10:22:58.077527]   best model so far
[2022-06-24 10:22:58.077624] EPOCH 9...
[2022-06-24 10:23:24.108363] TRAIN LOSS: 0.422 
[2022-06-24 10:23:27.766867] VALID LOSS: 0.324 
[2022-06-24 10:23:27.819718]   best model so far
[2022-06-24 10:23:27.819801] EPOCH 10...
[2022-06-24 10:23:53.515531] TRAIN LOSS: 0.420 
[2022-06-24 10:23:57.182044] VALID LOSS: 0.324 
[2022-06-24 10:23:57.236024]   best model so far
[2022-06-24 10:23:57.236121] EPOCH 11...
[2022-06-24 10:24:23.316097] TRAIN LOSS: 0.418 
[2022-06-24 10:24:27.117191] VALID LOSS: 0.324 
[2022-06-24 10:24:27.171037]   best model so far
[2022-06-24 10:24:27.171127] EPOCH 12...
[2022-06-24 10:24:52.890923] TRAIN LOSS: 0.424 
[2022-06-24 10:24:56.505204] VALID LOSS: 0.324 
[2022-06-24 10:24:56.552433]   best model so far
[2022-06-24 10:24:56.552510] EPOCH 13...
[2022-06-24 10:25:22.321060] TRAIN LOSS: 0.420 
[2022-06-24 10:25:25.789404] VALID LOSS: 0.324 
[2022-06-24 10:25:25.843484]   best model so far
[2022-06-24 10:25:25.843569] EPOCH 14...
[2022-06-24 10:25:51.673475] TRAIN LOSS: 0.419 
[2022-06-24 10:25:55.403563] VALID LOSS: 0.324 
[2022-06-24 10:25:55.457852]   best model so far
[2022-06-24 10:25:55.457943] EPOCH 15...
[2022-06-24 10:26:21.534565] TRAIN LOSS: 0.421 
[2022-06-24 10:26:25.319892] VALID LOSS: 0.324 
[2022-06-24 10:26:25.376680]   best model so far
[2022-06-24 10:26:25.376770] EPOCH 16...
[2022-06-24 10:26:51.348660] TRAIN LOSS: 0.417 
[2022-06-24 10:26:55.019393] VALID LOSS: 0.324 
[2022-06-24 10:26:55.068300]   best model so far
[2022-06-24 10:26:55.068373] EPOCH 17...
[2022-06-24 10:27:20.739273] TRAIN LOSS: 0.419 
[2022-06-24 10:27:24.351620] VALID LOSS: 0.324 
[2022-06-24 10:27:24.405093]   best model so far
[2022-06-24 10:27:24.405180] EPOCH 18...
[2022-06-24 10:27:50.629414] TRAIN LOSS: 0.414 
[2022-06-24 10:27:54.312120] VALID LOSS: 0.324 
[2022-06-24 10:27:54.358351]   best model so far
[2022-06-24 10:27:54.358449] EPOCH 19...
[2022-06-24 10:28:20.238770] TRAIN LOSS: 0.414 
[2022-06-24 10:28:23.904546] VALID LOSS: 0.324 
[2022-06-24 10:28:23.953786]   best model so far
[2022-06-24 10:28:23.953862] EPOCH 20...
[2022-06-24 10:28:49.557914] TRAIN LOSS: 0.423 
[2022-06-24 10:28:53.123165] VALID LOSS: 0.324 
[2022-06-24 10:28:53.178140]   best model so far
[2022-06-24 10:28:53.178230] EPOCH 21...
[2022-06-24 10:29:18.250004] TRAIN LOSS: 0.415 
[2022-06-24 10:29:21.826641] VALID LOSS: 0.324 
[2022-06-24 10:29:21.882962]   best model so far
[2022-06-24 10:29:21.883054] EPOCH 22...
[2022-06-24 10:29:46.893501] TRAIN LOSS: 0.417 
[2022-06-24 10:29:50.502908] VALID LOSS: 0.324 
[2022-06-24 10:29:50.558546]   best model so far
[2022-06-24 10:29:50.558639] EPOCH 23...
[2022-06-24 10:30:16.272697] TRAIN LOSS: 0.423 
[2022-06-24 10:30:19.838090] VALID LOSS: 0.324 
[2022-06-24 10:30:19.894297]   best model so far
[2022-06-24 10:30:19.894390] EPOCH 24...
[2022-06-24 10:30:45.045135] TRAIN LOSS: 0.419 
[2022-06-24 10:30:48.331023] VALID LOSS: 0.324 
[2022-06-24 10:30:48.378637]   best model so far
[2022-06-24 10:30:48.378717] EPOCH 25...
[2022-06-24 10:31:12.607847] TRAIN LOSS: 0.418 
[2022-06-24 10:31:15.876834] VALID LOSS: 0.324 
[2022-06-24 10:31:15.930489]   best model so far
[2022-06-24 10:31:15.930577] EPOCH 26...
[2022-06-24 10:31:39.963202] TRAIN LOSS: 0.419 
[2022-06-24 10:31:43.238553] VALID LOSS: 0.324 
[2022-06-24 10:31:43.286580]   best model so far
[2022-06-24 10:31:43.286657] EPOCH 27...
[2022-06-24 10:32:07.710285] TRAIN LOSS: 0.421 
[2022-06-24 10:32:10.976278] VALID LOSS: 0.324 
[2022-06-24 10:32:11.031020]   best model so far
[2022-06-24 10:32:11.031114] EPOCH 28...
[2022-06-24 10:32:35.479459] TRAIN LOSS: 0.422 
[2022-06-24 10:32:38.618258] VALID LOSS: 0.324 
[2022-06-24 10:32:38.673735]   best model so far
[2022-06-24 10:32:38.673829] EPOCH 29...
[2022-06-24 10:33:02.834057] TRAIN LOSS: 0.421 
[2022-06-24 10:33:06.128146] VALID LOSS: 0.324 
[2022-06-24 10:33:06.180293]   best model so far
[2022-06-24 10:33:06.180381] EPOCH 30...
[2022-06-24 10:33:30.655940] TRAIN LOSS: 0.417 
[2022-06-24 10:33:33.829032] VALID LOSS: 0.324 
[2022-06-24 10:33:33.883610]   best model so far
[2022-06-24 10:33:33.883697] EPOCH 31...
[2022-06-24 10:33:58.495496] TRAIN LOSS: 0.417 
[2022-06-24 10:34:01.859332] VALID LOSS: 0.324 
[2022-06-24 10:34:01.915463]   best model so far
[2022-06-24 10:34:01.915558] EPOCH 32...
[2022-06-24 10:34:26.567160] TRAIN LOSS: 0.421 
[2022-06-24 10:34:30.056466] VALID LOSS: 0.324 
[2022-06-24 10:34:30.112208]   best model so far
[2022-06-24 10:34:30.112292] EPOCH 33...
[2022-06-24 10:34:54.770180] TRAIN LOSS: 0.416 
[2022-06-24 10:34:58.159503] VALID LOSS: 0.324 
[2022-06-24 10:34:58.220967]   best model so far
[2022-06-24 10:34:58.221079] EPOCH 34...
[2022-06-24 10:37:12.107943] max_epochs: 500
[2022-06-24 10:37:12.108080] epoch_size: 60
[2022-06-24 10:37:12.108135] batch_size: 16
[2022-06-24 10:37:12.108181] pretrain_batch_size: 16
[2022-06-24 10:37:12.108224] valid_batch_size : 16
[2022-06-24 10:37:12.108271] lr: 0.001
[2022-06-24 10:37:12.108312] patience : 15
[2022-06-24 10:37:12.108353] early_stopping : 30
[2022-06-24 10:37:12.108395] top_k: [1, 3, 5, 10]
[2022-06-24 10:37:12.108435] problem: setcover
[2022-06-24 10:37:12.108475] gpu: 1
[2022-06-24 10:37:12.108515] seed 0
[2022-06-24 10:37:15.833720] EPOCH 0...
[2022-06-24 10:37:39.732106] PRETRAINED 7 LAYERS
[2022-06-24 10:37:44.116350] VALID LOSS: 0.727 
[2022-06-24 10:37:44.177703]   best model so far
[2022-06-24 10:37:44.177806] EPOCH 1...
[2022-06-24 10:38:12.138901] TRAIN LOSS: 0.531 
[2022-06-24 10:38:15.765789] VALID LOSS: 0.324 
[2022-06-24 10:38:15.821047]   best model so far
[2022-06-24 10:38:15.821149] EPOCH 2...
[2022-06-24 10:38:41.915223] TRAIN LOSS: 0.330 
[2022-06-24 10:38:45.540833] VALID LOSS: 0.324 
[2022-06-24 10:38:45.599147]   best model so far
[2022-06-24 10:38:45.599257] EPOCH 3...
[2022-06-24 10:39:11.786265] TRAIN LOSS: 0.330 
[2022-06-24 10:39:15.401527] VALID LOSS: 0.324 
[2022-06-24 10:39:15.461858]   best model so far
[2022-06-24 10:39:15.461952] EPOCH 4...
[2022-06-24 10:39:41.084350] TRAIN LOSS: 0.331 
[2022-06-24 10:39:44.598239] VALID LOSS: 0.324 
[2022-06-24 10:39:44.651468]   best model so far
[2022-06-24 10:39:44.651555] EPOCH 5...
[2022-06-24 10:40:10.838839] TRAIN LOSS: 0.330 
[2022-06-24 10:40:14.450085] VALID LOSS: 0.324 
[2022-06-24 10:40:14.503828]   best model so far
[2022-06-24 10:40:14.503921] EPOCH 6...
[2022-06-24 10:41:46.356055] max_epochs: 500
[2022-06-24 10:41:46.356211] epoch_size: 60
[2022-06-24 10:41:46.356266] batch_size: 16
[2022-06-24 10:41:46.356314] pretrain_batch_size: 16
[2022-06-24 10:41:46.356358] valid_batch_size : 16
[2022-06-24 10:41:46.356408] lr: 0.001
[2022-06-24 10:41:46.356451] patience : 15
[2022-06-24 10:41:46.356492] early_stopping : 30
[2022-06-24 10:41:46.356548] top_k: [1, 3, 5, 10]
[2022-06-24 10:41:46.356591] problem: setcover
[2022-06-24 10:41:46.356632] gpu: 1
[2022-06-24 10:41:46.356671] seed 0
[2022-06-24 10:41:50.080565] EPOCH 0...
[2022-06-24 10:42:14.157663] PRETRAINED 7 LAYERS
[2022-06-24 10:42:18.435342] VALID LOSS: 0.727 
[2022-06-24 10:42:18.481048]   best model so far
[2022-06-24 10:42:18.481123] EPOCH 1...
[2022-06-24 10:42:45.404284] TRAIN LOSS: 0.531 
[2022-06-24 10:42:49.119159] VALID LOSS: 0.324 
[2022-06-24 10:42:49.173155]   best model so far
[2022-06-24 10:42:49.173245] EPOCH 2...
[2022-06-24 10:56:21.730767] max_epochs: 500
[2022-06-24 10:56:21.730918] epoch_size: 60
[2022-06-24 10:56:21.730971] batch_size: 16
[2022-06-24 10:56:21.731016] pretrain_batch_size: 16
[2022-06-24 10:56:21.731071] valid_batch_size : 16
[2022-06-24 10:56:21.731120] lr: 0.001
[2022-06-24 10:56:21.731161] patience : 15
[2022-06-24 10:56:21.731201] early_stopping : 30
[2022-06-24 10:56:21.731243] top_k: [1, 3, 5, 10]
[2022-06-24 10:56:21.731283] problem: setcover
[2022-06-24 10:56:21.731322] gpu: 1
[2022-06-24 10:56:21.731361] seed 0
[2022-06-24 10:56:25.473825] EPOCH 0...
[2022-06-24 10:56:49.084478] PRETRAINED 7 LAYERS
[2022-06-24 10:56:53.262147] VALID LOSS: 0.727 
[2022-06-24 10:56:53.319553]   best model so far
[2022-06-24 10:56:53.319651] EPOCH 1...
[2022-06-24 11:02:31.095625] max_epochs: 500
[2022-06-24 11:02:31.095796] epoch_size: 60
[2022-06-24 11:02:31.095853] batch_size: 16
[2022-06-24 11:02:31.095901] pretrain_batch_size: 16
[2022-06-24 11:02:31.095948] valid_batch_size : 16
[2022-06-24 11:02:31.096000] lr: 0.001
[2022-06-24 11:02:31.096046] patience : 15
[2022-06-24 11:02:31.096090] early_stopping : 30
[2022-06-24 11:02:31.096135] top_k: [1, 3, 5, 10]
[2022-06-24 11:02:31.096179] problem: setcover
[2022-06-24 11:02:31.096222] gpu: 1
[2022-06-24 11:02:31.096264] seed 0
[2022-06-24 11:02:34.828864] EPOCH 0...
[2022-06-24 11:02:58.573449] PRETRAINED 7 LAYERS
[2022-06-24 11:03:02.882818] VALID LOSS: 0.728 
[2022-06-24 11:03:02.940219]   best model so far
[2022-06-24 11:03:02.940311] EPOCH 1...
[2022-06-24 11:03:32.043898] TRAIN LOSS: 0.630 
[2022-06-24 11:03:35.804291] VALID LOSS: 0.324 
[2022-06-24 11:03:35.858284]   best model so far
[2022-06-24 11:03:35.858424] EPOCH 2...
[2022-06-24 11:04:03.402641] TRAIN LOSS: 0.506 
[2022-06-24 11:04:06.994139] VALID LOSS: 0.324 
[2022-06-24 11:04:07.044150]   best model so far
[2022-06-24 11:04:07.044288] EPOCH 3...
[2022-06-24 11:04:33.523438] TRAIN LOSS: 0.501 
[2022-06-24 11:04:37.131348] VALID LOSS: 0.324 
[2022-06-24 11:04:37.191462]   best model so far
[2022-06-24 11:04:37.191555] EPOCH 4...
[2022-06-24 11:05:02.919634] TRAIN LOSS: 0.517 
[2022-06-24 11:05:06.538014] VALID LOSS: 0.324 
[2022-06-24 11:05:06.599406]   best model so far
[2022-06-24 11:05:06.599503] EPOCH 5...
[2022-06-24 11:05:32.144017] TRAIN LOSS: 0.505 
[2022-06-24 11:05:35.818407] VALID LOSS: 0.324 
[2022-06-24 11:05:35.864055]   best model so far
[2022-06-24 11:05:35.864162] EPOCH 6...
[2022-06-24 11:06:00.795863] TRAIN LOSS: 0.499 
[2022-06-24 11:06:04.046940] VALID LOSS: 0.324 
[2022-06-24 11:06:04.102750]   best model so far
[2022-06-24 11:06:04.102849] EPOCH 7...
[2022-06-24 11:06:29.293946] TRAIN LOSS: 0.514 
[2022-06-24 11:06:32.851613] VALID LOSS: 0.324 
[2022-06-24 11:06:32.907581]   best model so far
[2022-06-24 11:06:32.907677] EPOCH 8...
[2022-06-24 11:06:58.127090] TRAIN LOSS: 0.503 
[2022-06-24 11:07:01.431868] VALID LOSS: 0.324 
[2022-06-24 11:07:01.486935]   best model so far
[2022-06-24 11:07:01.487028] EPOCH 9...
[2022-06-24 11:07:25.755728] TRAIN LOSS: 0.514 
[2022-06-24 11:07:28.930382] VALID LOSS: 0.324 
[2022-06-24 11:07:28.984949]   best model so far
[2022-06-24 11:07:28.985047] EPOCH 10...
[2022-06-24 11:07:53.999954] TRAIN LOSS: 0.510 
[2022-06-24 11:07:57.191310] VALID LOSS: 0.324 
[2022-06-24 11:07:57.244779]   best model so far
[2022-06-24 11:07:57.244872] EPOCH 11...
[2022-06-24 11:08:21.539693] TRAIN LOSS: 0.507 
[2022-06-24 11:08:24.702666] VALID LOSS: 0.324 
[2022-06-24 11:08:24.759313]   best model so far
[2022-06-24 11:08:24.759409] EPOCH 12...
[2022-06-24 11:08:49.527713] TRAIN LOSS: 0.517 
[2022-06-24 11:08:52.835781] VALID LOSS: 0.324 
[2022-06-24 11:08:52.883463]   best model so far
[2022-06-24 11:08:52.883545] EPOCH 13...
[2022-06-24 11:09:16.748301] TRAIN LOSS: 0.509 
[2022-06-24 11:09:19.962221] VALID LOSS: 0.324 
[2022-06-24 11:09:20.018793]   best model so far
[2022-06-24 11:09:20.018888] EPOCH 14...
[2022-06-24 11:09:44.424889] TRAIN LOSS: 0.508 
[2022-06-24 11:09:47.955561] VALID LOSS: 0.324 
[2022-06-24 11:09:48.012028]   best model so far
[2022-06-24 11:09:48.012157] EPOCH 15...
[2022-06-24 11:10:12.965087] TRAIN LOSS: 0.511 
[2022-06-24 11:10:16.239113] VALID LOSS: 0.324 
[2022-06-24 11:10:16.286672]   best model so far
[2022-06-24 11:10:16.286751] EPOCH 16...
[2022-06-24 11:10:40.378310] TRAIN LOSS: 0.505 
[2022-06-24 11:10:43.499666] VALID LOSS: 0.324 
[2022-06-24 11:10:43.547561]   best model so far
[2022-06-24 11:10:43.547665] EPOCH 17...
[2022-06-24 11:11:07.599027] TRAIN LOSS: 0.508 
[2022-06-24 11:11:10.763090] VALID LOSS: 0.324 
[2022-06-24 11:11:10.817371]   best model so far
[2022-06-24 11:11:10.817466] EPOCH 18...
[2022-06-24 11:11:34.683981] TRAIN LOSS: 0.499 
[2022-06-24 11:11:38.007142] VALID LOSS: 0.324 
[2022-06-24 11:11:38.053226]   best model so far
[2022-06-24 11:11:38.053354] EPOCH 19...
[2022-06-24 11:12:01.935800] TRAIN LOSS: 0.500 
[2022-06-24 11:12:04.973970] VALID LOSS: 0.324 
[2022-06-24 11:12:05.021467]   best model so far
[2022-06-24 11:12:05.021577] EPOCH 20...
[2022-06-24 11:12:29.152516] TRAIN LOSS: 0.516 
[2022-06-24 11:12:32.305438] VALID LOSS: 0.324 
[2022-06-24 11:12:32.351411]   best model so far
[2022-06-24 11:12:32.351526] EPOCH 21...
[2022-06-24 11:12:56.000650] TRAIN LOSS: 0.500 
[2022-06-24 11:12:59.200372] VALID LOSS: 0.324 
[2022-06-24 11:12:59.245859]   best model so far
[2022-06-24 11:12:59.245974] EPOCH 22...
[2022-06-24 11:13:22.955329] TRAIN LOSS: 0.505 
[2022-06-24 11:13:26.096176] VALID LOSS: 0.324 
[2022-06-24 11:13:26.149221]   best model so far
[2022-06-24 11:13:26.149318] EPOCH 23...
[2022-06-24 11:13:50.080347] TRAIN LOSS: 0.515 
[2022-06-24 11:13:53.133878] VALID LOSS: 0.324 
[2022-06-24 11:13:53.189094]   best model so far
[2022-06-24 11:13:53.189184] EPOCH 24...
[2022-06-24 11:14:16.334740] TRAIN LOSS: 0.508 
[2022-06-24 11:14:19.392250] VALID LOSS: 0.324 
[2022-06-24 11:14:19.440873]   best model so far
[2022-06-24 11:14:19.440965] EPOCH 25...
[2022-06-24 11:14:42.941351] TRAIN LOSS: 0.506 
[2022-06-24 11:14:46.025344] VALID LOSS: 0.324 
[2022-06-24 11:14:46.072316]   best model so far
[2022-06-24 11:14:46.072426] EPOCH 26...
[2022-06-24 11:15:09.729982] TRAIN LOSS: 0.508 
[2022-06-24 11:15:12.731692] VALID LOSS: 0.324 
[2022-06-24 11:15:12.786887]   best model so far
[2022-06-24 11:15:12.786977] EPOCH 27...
[2022-06-24 11:15:36.455921] TRAIN LOSS: 0.511 
[2022-06-24 11:15:39.482431] VALID LOSS: 0.324 
[2022-06-24 11:15:39.530625]   best model so far
[2022-06-24 11:15:39.530739] EPOCH 28...
[2022-06-24 11:16:03.491799] TRAIN LOSS: 0.513 
[2022-06-24 11:16:06.555223] VALID LOSS: 0.324 
[2022-06-24 11:16:06.555570] EPOCH 29...
[2022-06-24 11:16:30.094940] TRAIN LOSS: 0.511 
[2022-06-24 11:16:33.073239] VALID LOSS: 0.324 
[2022-06-24 11:16:33.073490] EPOCH 30...
[2022-06-24 11:16:57.135383] TRAIN LOSS: 0.505 
[2022-06-24 11:17:00.297098] VALID LOSS: 0.324 
[2022-06-24 11:17:00.297373] EPOCH 31...
[2022-06-24 11:17:24.195217] TRAIN LOSS: 0.505 
[2022-06-24 11:17:27.409475] VALID LOSS: 0.324 
[2022-06-24 11:17:27.409765] EPOCH 32...
[2022-06-24 11:17:51.079389] TRAIN LOSS: 0.511 
[2022-06-24 11:17:54.195228] VALID LOSS: 0.324 
[2022-06-24 11:17:54.256999]   best model so far
[2022-06-24 11:17:54.257118] EPOCH 33...
[2022-06-24 11:18:18.009561] TRAIN LOSS: 0.503 
[2022-06-24 11:18:21.164310] VALID LOSS: 0.324 
[2022-06-24 11:18:21.222421]   best model so far
[2022-06-24 11:18:21.222533] EPOCH 34...
[2022-06-24 11:18:44.965768] TRAIN LOSS: 0.497 
[2022-06-24 11:18:48.211397] VALID LOSS: 0.324 
[2022-06-24 11:18:48.253773]   best model so far
[2022-06-24 11:18:48.253883] EPOCH 35...
[2022-06-24 11:19:11.449628] TRAIN LOSS: 0.506 
[2022-06-24 11:19:14.467311] VALID LOSS: 0.324 
[2022-06-24 11:19:14.521460]   best model so far
[2022-06-24 11:19:14.521551] EPOCH 36...
[2022-06-24 11:19:38.279620] TRAIN LOSS: 0.519 
[2022-06-24 11:19:41.640964] VALID LOSS: 0.324 
[2022-06-24 11:19:41.641201] EPOCH 37...
[2022-06-24 11:20:04.915459] TRAIN LOSS: 0.514 
[2022-06-24 11:20:08.038158] VALID LOSS: 0.324 
[2022-06-24 11:20:08.038441] EPOCH 38...
[2022-06-24 11:20:31.666801] TRAIN LOSS: 0.506 
[2022-06-24 11:20:34.728364] VALID LOSS: 0.324 
[2022-06-24 11:20:34.728627] EPOCH 39...
[2022-06-24 11:20:58.403890] TRAIN LOSS: 0.508 
[2022-06-24 11:21:01.521967] VALID LOSS: 0.324 
[2022-06-24 11:21:01.522246] EPOCH 40...
[2022-06-24 11:21:25.627826] TRAIN LOSS: 0.514 
[2022-06-24 11:21:28.645189] VALID LOSS: 0.324 
[2022-06-24 11:21:28.645521] EPOCH 41...
[2022-06-24 11:21:52.648011] TRAIN LOSS: 0.503 
[2022-06-24 11:21:55.678554] VALID LOSS: 0.324 
[2022-06-24 11:21:55.678795] EPOCH 42...
[2022-06-24 11:22:19.081343] TRAIN LOSS: 0.523 
[2022-06-24 11:22:22.196529] VALID LOSS: 0.324 
[2022-06-24 11:22:22.254424]   best model so far
[2022-06-24 11:22:22.254527] EPOCH 43...
[2022-06-24 11:22:45.449406] TRAIN LOSS: 0.502 
[2022-06-24 11:22:48.458104] VALID LOSS: 0.324 
[2022-06-24 11:22:48.458321] EPOCH 44...
[2022-06-24 11:23:12.050181] TRAIN LOSS: 0.507 
[2022-06-24 11:23:15.357556] VALID LOSS: 0.324 
[2022-06-24 11:23:15.357851] EPOCH 45...
[2022-06-24 11:23:39.679627] TRAIN LOSS: 0.508 
[2022-06-24 11:23:42.698163] VALID LOSS: 0.324 
[2022-06-24 11:23:42.751478]   best model so far
[2022-06-24 11:23:42.751580] EPOCH 46...
[2022-06-24 11:24:06.021672] TRAIN LOSS: 0.510 
[2022-06-24 11:24:09.061844] VALID LOSS: 0.324 
[2022-06-24 11:24:09.118303]   best model so far
[2022-06-24 11:24:09.118406] EPOCH 47...
[2022-06-24 14:49:03.822528] max_epochs: 500
[2022-06-24 14:49:03.822679] epoch_size: 60
[2022-06-24 14:49:03.822735] batch_size: 16
[2022-06-24 14:49:03.822782] pretrain_batch_size: 16
[2022-06-24 14:49:03.822840] valid_batch_size : 16
[2022-06-24 14:49:03.822891] lr: 0.001
[2022-06-24 14:49:03.822937] patience : 15
[2022-06-24 14:49:03.822982] early_stopping : 30
[2022-06-24 14:49:03.823027] top_k: [1, 3, 5, 10]
[2022-06-24 14:49:03.823070] problem: setcover
[2022-06-24 14:49:03.823112] gpu: 1
[2022-06-24 14:49:03.823155] seed 0
[2022-06-24 14:49:38.614882] max_epochs: 500
[2022-06-24 14:49:38.615019] epoch_size: 60
[2022-06-24 14:49:38.615073] batch_size: 16
[2022-06-24 14:49:38.615117] pretrain_batch_size: 16
[2022-06-24 14:49:38.615160] valid_batch_size : 16
[2022-06-24 14:49:38.615207] lr: 0.001
[2022-06-24 14:49:38.615247] patience : 15
[2022-06-24 14:49:38.615287] early_stopping : 30
[2022-06-24 14:49:38.615327] top_k: [1, 3, 5, 10]
[2022-06-24 14:49:38.615367] problem: setcover
[2022-06-24 14:49:38.615416] gpu: 1
[2022-06-24 14:49:38.615455] seed 0
[2022-06-24 14:49:42.328790] EPOCH 0...
[2022-06-24 14:50:00.804847] max_epochs: 500
[2022-06-24 14:50:00.805013] epoch_size: 60
[2022-06-24 14:50:00.805071] batch_size: 16
[2022-06-24 14:50:00.805118] pretrain_batch_size: 16
[2022-06-24 14:50:00.805164] valid_batch_size : 16
[2022-06-24 14:50:00.805213] lr: 0.001
[2022-06-24 14:50:00.805257] patience : 15
[2022-06-24 14:50:00.805310] early_stopping : 30
[2022-06-24 14:50:00.805353] top_k: [1, 3, 5, 10]
[2022-06-24 14:50:00.805394] problem: setcover
[2022-06-24 14:50:00.805434] gpu: 1
[2022-06-24 14:50:00.805484] seed 0
[2022-06-24 14:50:04.542909] EPOCH 0...
[2022-06-24 14:50:19.196861] PRETRAINED 4 LAYERS
[2022-06-24 14:50:23.355662] VALID LOSS: 0.734 
[2022-06-24 14:50:23.401633]   best model so far
[2022-06-24 14:50:23.401722] EPOCH 1...
[2022-06-24 14:50:50.342701] TRAIN LOSS: 0.726 
[2022-06-24 14:50:53.999840] VALID LOSS: 0.332 
[2022-06-24 14:50:54.049070]   best model so far
[2022-06-24 14:50:54.049197] EPOCH 2...
[2022-06-24 14:51:19.564147] TRAIN LOSS: 0.507 
[2022-06-24 14:51:23.184822] VALID LOSS: 0.324 
[2022-06-24 14:51:23.234676]   best model so far
[2022-06-24 14:51:23.234783] EPOCH 3...
[2022-06-24 14:57:53.958284] max_epochs: 500
[2022-06-24 14:57:53.958442] epoch_size: 60
[2022-06-24 14:57:53.958499] batch_size: 16
[2022-06-24 14:57:53.958547] pretrain_batch_size: 16
[2022-06-24 14:57:53.958606] valid_batch_size : 16
[2022-06-24 14:57:53.958660] lr: 0.001
[2022-06-24 14:57:53.958706] patience : 15
[2022-06-24 14:57:53.958750] early_stopping : 30
[2022-06-24 14:57:53.958801] top_k: [1, 3, 5, 10]
[2022-06-24 14:57:53.958850] problem: setcover
[2022-06-24 14:57:53.958898] gpu: 1
[2022-06-24 14:57:53.958944] seed 0
[2022-06-24 14:57:57.573847] EPOCH 0...
[2022-06-24 14:57:58.294120] PRETRAINED 0 LAYERS
[2022-06-24 14:58:02.766377] VALID LOSS: 0.709 
[2022-06-24 14:58:02.804485]   best model so far
[2022-06-24 14:58:02.804582] EPOCH 1...
[2022-06-24 14:58:29.931166] TRAIN LOSS: 0.763 
[2022-06-24 14:58:33.715224] VALID LOSS: 0.540 
[2022-06-24 14:58:33.746775]   best model so far
[2022-06-24 14:58:33.746860] EPOCH 2...
[2022-06-24 14:59:00.642551] TRAIN LOSS: 0.528 
[2022-06-24 14:59:04.590567] VALID LOSS: 0.324 
[2022-06-24 14:59:04.628300]   best model so far
[2022-06-24 14:59:04.628409] EPOCH 3...
[2022-06-24 15:03:33.432402] max_epochs: 500
[2022-06-24 15:03:33.432521] epoch_size: 60
[2022-06-24 15:03:33.432575] batch_size: 16
[2022-06-24 15:03:33.432625] pretrain_batch_size: 16
[2022-06-24 15:03:33.432669] valid_batch_size : 16
[2022-06-24 15:03:33.432717] lr: 0.001
[2022-06-24 15:03:33.432759] patience : 15
[2022-06-24 15:03:33.432800] early_stopping : 30
[2022-06-24 15:03:33.432842] top_k: [1, 3, 5, 10]
[2022-06-24 15:03:33.432883] problem: setcover
[2022-06-24 15:03:33.432942] gpu: 1
[2022-06-24 15:03:33.432988] seed 0
[2022-06-24 15:03:37.000379] EPOCH 0...
[2022-06-24 15:03:37.675318] PRETRAINED 0 LAYERS
[2022-06-24 15:03:42.372298] VALID LOSS: 0.718 
[2022-06-24 15:03:42.410510]   best model so far
[2022-06-24 15:03:42.410602] EPOCH 1...
[2022-06-24 15:04:10.445013] TRAIN LOSS: 0.761 
[2022-06-24 15:04:14.409209] VALID LOSS: 0.484 
[2022-06-24 15:04:14.446144]   best model so far
[2022-06-24 15:04:14.446238] EPOCH 2...
[2022-06-24 15:04:41.424483] TRAIN LOSS: 0.517 
[2022-06-24 15:04:45.505903] VALID LOSS: 0.324 
[2022-06-24 15:04:45.543718]   best model so far
[2022-06-24 15:04:45.543805] EPOCH 3...
[2022-06-24 15:05:12.099464] TRAIN LOSS: 0.501 
[2022-06-24 15:05:16.024317] VALID LOSS: 0.324 
[2022-06-24 15:05:16.062119]   best model so far
[2022-06-24 15:05:16.062221] EPOCH 4...
[2022-06-24 15:05:42.505671] TRAIN LOSS: 0.517 
[2022-06-24 15:05:46.537668] VALID LOSS: 0.324 
[2022-06-24 15:05:46.573447]   best model so far
[2022-06-24 15:05:46.573537] EPOCH 5...
[2022-06-24 15:09:23.860286] max_epochs: 500
[2022-06-24 15:09:23.860414] epoch_size: 60
[2022-06-24 15:09:23.860469] batch_size: 16
[2022-06-24 15:09:23.860514] pretrain_batch_size: 16
[2022-06-24 15:09:23.860558] valid_batch_size : 16
[2022-06-24 15:09:23.860605] lr: 0.001
[2022-06-24 15:09:23.860647] patience : 15
[2022-06-24 15:09:23.860687] early_stopping : 30
[2022-06-24 15:09:23.860729] top_k: [1, 3, 5, 10]
[2022-06-24 15:09:23.860770] problem: setcover
[2022-06-24 15:09:23.860809] gpu: 1
[2022-06-24 15:09:23.860849] seed 0
[2022-06-24 15:09:27.452669] EPOCH 0...
[2022-06-24 15:09:28.200969] PRETRAINED 0 LAYERS
[2022-06-24 15:09:32.737243] VALID LOSS: 0.718 
[2022-06-24 15:09:32.774257]   best model so far
[2022-06-24 15:09:32.774351] EPOCH 1...
[2022-06-24 15:10:00.829562] TRAIN LOSS: 0.761 
[2022-06-24 15:10:04.852240] VALID LOSS: 0.484 
[2022-06-24 15:10:04.890856]   best model so far
[2022-06-24 15:10:04.890972] EPOCH 2...
[2022-06-24 15:10:31.134007] TRAIN LOSS: 0.517 
[2022-06-24 15:10:34.786380] VALID LOSS: 0.324 
[2022-06-24 15:10:34.820569]   best model so far
[2022-06-24 15:10:34.820647] EPOCH 3...
[2022-06-24 15:11:00.851871] TRAIN LOSS: 0.501 
[2022-06-24 15:11:04.589939] VALID LOSS: 0.324 
[2022-06-24 15:11:04.628800]   best model so far
[2022-06-24 15:11:04.628907] EPOCH 4...
[2022-06-24 15:11:31.289592] TRAIN LOSS: 0.517 
[2022-06-24 15:11:35.029925] VALID LOSS: 0.324 
[2022-06-24 15:11:35.064615]   best model so far
[2022-06-24 15:11:35.064709] EPOCH 5...
[2022-06-24 15:12:00.780467] TRAIN LOSS: 0.505 
[2022-06-24 15:12:04.397870] VALID LOSS: 0.324 
[2022-06-24 15:12:04.436072]   best model so far
[2022-06-24 15:12:04.436163] EPOCH 6...
[2022-06-24 15:12:30.620484] TRAIN LOSS: 0.499 
[2022-06-24 15:12:34.347979] VALID LOSS: 0.324 
[2022-06-24 15:12:34.386862]   best model so far
[2022-06-24 15:12:34.386959] EPOCH 7...
[2022-06-24 15:13:00.483406] TRAIN LOSS: 0.514 
[2022-06-24 15:13:04.082930] VALID LOSS: 0.324 
[2022-06-24 15:13:04.121852]   best model so far
[2022-06-24 15:13:04.121939] EPOCH 8...
[2022-06-24 15:13:30.074929] TRAIN LOSS: 0.503 
[2022-06-24 15:13:33.865846] VALID LOSS: 0.324 
[2022-06-24 15:13:33.906413]   best model so far
[2022-06-24 15:13:33.906500] EPOCH 9...
[2022-06-24 15:13:59.298888] TRAIN LOSS: 0.514 
[2022-06-24 15:14:02.920692] VALID LOSS: 0.324 
[2022-06-24 15:14:02.959356]   best model so far
[2022-06-24 15:14:02.959448] EPOCH 10...
[2022-06-24 15:14:28.665551] TRAIN LOSS: 0.510 
[2022-06-24 15:14:32.370326] VALID LOSS: 0.324 
[2022-06-24 15:14:32.370633] EPOCH 11...
[2022-06-24 15:14:58.073253] TRAIN LOSS: 0.507 
[2022-06-24 15:15:01.849254] VALID LOSS: 0.324 
[2022-06-24 15:15:01.886199]   best model so far
[2022-06-24 15:15:01.886285] EPOCH 12...
[2022-06-24 15:35:47.603226] max_epochs: 500
[2022-06-24 15:35:47.603385] epoch_size: 60
[2022-06-24 15:35:47.603439] batch_size: 16
[2022-06-24 15:35:47.603484] pretrain_batch_size: 16
[2022-06-24 15:35:47.603541] valid_batch_size : 16
[2022-06-24 15:35:47.603592] lr: 0.001
[2022-06-24 15:35:47.603636] patience : 15
[2022-06-24 15:35:47.603678] early_stopping : 30
[2022-06-24 15:35:47.603722] top_k: [1, 3, 5, 10]
[2022-06-24 15:35:47.603763] problem: setcover
[2022-06-24 15:35:47.603804] gpu: 1
[2022-06-24 15:35:47.603845] seed 0
[2022-06-24 15:35:51.187506] EPOCH 0...
[2022-06-24 15:35:51.915131] PRETRAINED 0 LAYERS
[2022-06-24 15:35:56.552987] VALID LOSS: 0.718 
[2022-06-24 15:35:56.590547]   best model so far
[2022-06-24 15:35:56.590650] EPOCH 1...
[2022-06-24 15:36:23.681722] TRAIN LOSS: 0.761 
[2022-06-24 15:36:27.437880] VALID LOSS: 0.484 
[2022-06-24 15:36:27.478803]   best model so far
[2022-06-24 15:36:27.478894] EPOCH 2...
[2022-06-24 15:36:53.132833] TRAIN LOSS: 0.517 
[2022-06-24 15:36:56.961972] VALID LOSS: 0.324 
[2022-06-24 15:36:56.998217]   best model so far
[2022-06-24 15:36:56.998306] EPOCH 3...
