{
    "docstring": "PhaseNet model trained by Rossella Fonzetti and Daniele Bailo, Istituto Nazionale di Geofisica e Vulcanologia (INGV), on the AQ2009 dataset (Bagagli et al., 2023), a seismic waveform dataset prepared from the 2009 L'Aquila earthquake sequence and used for P- and S-phase picking experiments. The training run consisted of 60 epochs with a batch size of 1024, a learning rate of 0.0005, standard normalization, and cross-entropy loss. The distributed weights correspond to checkpoint epoch 41, selected as the best model because it showed the best validation behaviour before the onset of overfitting in the later epochs. This model was trained from scratch. If you use this model, please cite the associated model archive/DOI when available and the forthcoming manuscript: Fonzetti R., Bailo D., Bagagli M., Valoroso L., De Gori P., and Chiarabba C., \"The impact of probability thresholds and model training on phase picking performance\", in preparation.",
    "model_args": {
        "component_order": "ZNE",
        "phases": "PSN",
        "norm": "std",
        "sampling_rate": 100.0
    },
    "seisbench_requirement": "0.3.2",
    "version": "1",
    "default_args": {
        "P_threshold": 0.3,
        "S_threshold": 0.3,
        "blinding": [
            250,
            250
        ]
    }
}