ImageNetSelectedSubsetBasedModel-FineTuning / best_hyperparameters.json
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{"lr": 0.00019625027721068008, "weight_decay": 1.3248928846670252e-05, "dropout_rate": 0.5954955366339605, "l1_factor": 1.154414886066787e-06, "epochs": 15, "epsilon_range": [0.001, 0.007, 0.002], "step_size": 5, "gamma": 0.3, "early_stopping_tolerance": 10, "training_batch_size": 32, "validation_batch_size": 50}