[22:06:26] [INFO] [mergernet.core.experiment] New experiment created with exp_id = 1 and run_id = 637f8ebb
[22:06:26] [INFO] [mergernet.model.automl] start of optuna optimization
[22:06:26] [INFO] [optuna.storages._rdb.storage] A new study created in RDB with name: exp_1
[22:06:27] [INFO] [mergernet.data.dataset] Apply: load_jpg
[22:06:27] [INFO] [mergernet.data.dataset] Apply: one_hot
[22:06:27] [INFO] [mergernet.data.dataset] Apply: cache
[22:06:27] [INFO] [mergernet.data.dataset] Apply: shuffle
[22:06:27] [INFO] [mergernet.data.dataset] Apply: batch
[22:06:27] [INFO] [mergernet.data.dataset] Apply: prefetch
[22:06:27] [INFO] [mergernet.data.dataset] Apply: load_jpg
[22:06:27] [INFO] [mergernet.data.dataset] Apply: one_hot
[22:06:27] [INFO] [mergernet.data.dataset] Apply: cache
[22:06:27] [INFO] [mergernet.data.dataset] Apply: shuffle
[22:06:27] [INFO] [mergernet.data.dataset] Apply: batch
[22:06:27] [INFO] [mergernet.data.dataset] Apply: prefetch
[22:06:29] [DEBUG] [h5py._conv] Creating converter from 3 to 5
[22:06:29] [INFO] [mergernet.model.baseline] Trainable weights (CONV): 0
[22:06:30] [INFO] [mergernet.model.baseline] Trainable weights (TOTAL): 6
[22:06:30] [INFO] [mergernet.model.baseline] Start of training loop
[22:08:55] [INFO] [mergernet.model.baseline] End of training loop, duration: 00:02:24.
[22:08:55] [INFO] [mergernet.model.baseline] Start of training loop
[22:13:38] [INFO] [mergernet.model.callbacks] New best metric detected. val_loss: 0.15145666897296906
[22:13:38] [DEBUG] [h5py._conv] Creating converter from 5 to 3
[22:13:39] [INFO] [mergernet.model.callbacks] Trial saved in experiments/1/637f8ebb/exp_1.h5
[22:13:39] [INFO] [mergernet.model.callbacks] History saved in experiments/1/637f8ebb/history_exp_1.json
[22:13:55] [INFO] [mergernet.model.baseline] End of training loop, duration: 00:05:00.
[22:13:55] [INFO] [optuna.study.study] Trial 0 finished with value: 0.15145666897296906 and parameters: {'dense_1_units': 384, 'dropout_1_rate': 0.4852142919229748, 'dense_2_units': 768, 'dropout_2_rate': 0.379597545259111, 'opt_lr': 2.0513382630874486e-05}. Best is trial 0 with value: 0.15145666897296906.
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[22:13:56] [INFO] [mergernet.model.automl] optuna optimization finished in 00:07:30
[22:13:56] [INFO] [mergernet.model.automl] number of finished trials: 1
[22:13:56] [INFO] [mergernet.model.automl] ----- begin of best trial summary -----
[22:13:56] [INFO] [mergernet.model.automl] optimization score: 0.15145666897296906
[22:13:56] [INFO] [mergernet.model.automl] params:
[22:13:56] [INFO] [mergernet.model.automl] dense_1_units: 384
[22:13:56] [INFO] [mergernet.model.automl] dense_2_units: 768
[22:13:56] [INFO] [mergernet.model.automl] dropout_1_rate: 0.4852142919229748
[22:13:56] [INFO] [mergernet.model.automl] dropout_2_rate: 0.379597545259111
[22:13:56] [INFO] [mergernet.model.automl] opt_lr: 2.0513382630874486e-05
[22:13:56] [INFO] [mergernet.model.automl] ----- end of best trial summary -----
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[22:14:00] [INFO] [mergernet.data.dataset] Apply: cache
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[22:14:00] [INFO] [mergernet.data.dataset] Apply: batch
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