Is this XGBoost model tending to overfit?

Here is the list of hyperparameters that I used:

params = {
    'scale_pos_weight': [1.0],
    'eta': [0.05, 0.1, 0.15, 0.9, 1.0],
    'max_depth': [1, 2, 6, 10, 15, 20],
    'gamma': [0.0, 0.4, 0.5, 0.7]
}

The dataset is imbalanced so I used scale_pos_weight parameter. After 5 fold cross validation the f1 score that I got is: 0.530726530426833