def METHOD_NAME(filepath, tags=["val_acc_global_model"]):
    data = {}
    for summary in tf.compat.v1.train.summary_iterator(filepath):
        for v in summary.summary.value:
            if v.tag in tags:
                # print(v.tag, summary.step, v.simple_value)
                if v.tag in data.keys():
                    data[v.tag].append([summary.step, v.simple_value])
                else:
                    data[v.tag] = [[summary.step, v.simple_value]]
    return data