[2022-06-24 15:37:51.726670] max_epochs: 500
[2022-06-24 15:37:51.726800] epoch_size: 60
[2022-06-24 15:37:51.726854] batch_size: 16
[2022-06-24 15:37:51.726897] pretrain_batch_size: 16
[2022-06-24 15:37:51.726938] valid_batch_size : 16
[2022-06-24 15:37:51.726983] lr: 0.001
[2022-06-24 15:37:51.727023] patience : 15
[2022-06-24 15:37:51.727061] early_stopping : 30
[2022-06-24 15:37:51.727102] top_k: [1, 3, 5, 10]
[2022-06-24 15:37:51.727140] problem: item
[2022-06-24 15:37:51.727178] gpu: 1
[2022-06-24 15:37:51.727215] seed 0
[2022-06-24 15:37:55.321847] EPOCH 0...
[2022-06-24 15:37:56.038050] PRETRAINED 0 LAYERS
[2022-06-24 15:38:00.659835] VALID LOSS: 0.718 
[2022-06-24 15:38:00.697633]   best model so far
[2022-06-24 15:38:00.697718] EPOCH 1...
[2022-06-24 15:38:28.352968] TRAIN LOSS: 0.761 
[2022-06-24 15:38:32.122572] VALID LOSS: 0.484 
[2022-06-24 15:38:32.159461]   best model so far
[2022-06-24 15:38:32.159559] EPOCH 2...
[2022-06-24 15:38:58.586451] TRAIN LOSS: 0.517 
[2022-06-24 15:39:02.579603] VALID LOSS: 0.324 
[2022-06-24 15:39:02.619698]   best model so far
[2022-06-24 15:39:02.619805] EPOCH 3...
[2022-06-24 15:39:28.749198] TRAIN LOSS: 0.501 
[2022-06-24 15:39:32.590507] VALID LOSS: 0.324 
[2022-06-24 15:39:32.630588]   best model so far
[2022-06-24 15:39:32.630687] EPOCH 4...
[2022-06-24 23:45:50.423903] max_epochs: 500
[2022-06-24 23:45:50.424030] epoch_size: 60
[2022-06-24 23:45:50.424081] batch_size: 16
[2022-06-24 23:45:50.424122] pretrain_batch_size: 16
[2022-06-24 23:45:50.424161] valid_batch_size : 16
[2022-06-24 23:45:50.424203] lr: 0.001
[2022-06-24 23:45:50.424241] patience : 15
[2022-06-24 23:45:50.424278] early_stopping : 30
[2022-06-24 23:45:50.424317] top_k: [1, 3, 5, 10]
[2022-06-24 23:45:50.424353] problem: item
[2022-06-24 23:45:50.424401] gpu: 1
[2022-06-24 23:45:50.424438] seed 0
[2022-06-24 23:45:53.955847] EPOCH 0...
[2022-06-24 23:45:54.254008] PRETRAINED 0 LAYERS
[2022-06-24 23:45:54.969154] VALID LOSS: 0.708 
[2022-06-24 23:45:54.998419]   best model so far
[2022-06-24 23:45:54.998535] EPOCH 1...
[2022-06-24 23:45:59.128956] TRAIN LOSS: 1.029 
[2022-06-24 23:45:59.187116] VALID LOSS: 0.553 
[2022-06-24 23:45:59.221468]   best model so far
[2022-06-24 23:45:59.221550] EPOCH 2...
[2022-06-24 23:46:02.869136] TRAIN LOSS: 0.896 
[2022-06-24 23:46:02.935765] VALID LOSS: 0.444 
[2022-06-24 23:46:02.970643]   best model so far
[2022-06-24 23:46:02.970730] EPOCH 3...
[2022-06-24 23:46:06.576030] TRAIN LOSS: 0.873 
[2022-06-24 23:46:06.633168] VALID LOSS: 0.433 
[2022-06-24 23:46:06.666992]   best model so far
[2022-06-24 23:46:06.667074] EPOCH 4...
