binary_crossentropy&#34;
            activation = &#34;sigmoid&#34;

        # determine number of classes, maxlen, and max_features
        max_features = preproc.max_features if preproc is not None else None
        features = set()
        if not is_bert and not is_huggingface:
            U.vprint(&#34;compiling word ID features...&#34;, verbose=verbose)
            x_train = train_data[0]
            y_train = train_data[1]
            if isinstance(y_train[0], int):
                raise ValueError(&#