[{'role': 'system', 'content': "You are an expert in machine learning and your task is to classify code snippets into one of the following categories: ['helper_functions', 'load_data', 'data_exploration', 'data_preprocessing', 'evaluation', 'modelling', 'prediction', 'result_visualization', 'save_results', 'comment_only']."}, {'role': 'user', 'content': 'Identify the single most appropriate category to which the provided code belongs. Provide your response as a single category label without any additional information, commentary, or personal opinions.\\nPython Code:model = Sequential()\nmodel.add(LSTM(256, input_shape=(X.shape[1], X.shape[\n2]), return_sequences=True, implementation=2))\nmodel.add(Dropout(0.2))\nmodel.add(GRU(256, implementation=2))\nmodel.add(Dropout(0.2))\nmodel.add(Dense(y.shape[1], activation=\'softmax\'))\nmodel.compile(loss=\'categorical_crossentropy\', optimizer=\'adam\')\nfilepath = "model_checkpoints/weights-improvement-{epoch:02d}-{loss:.4f}-bigger-continuing.hdf5"\ncheckpoint = ModelCheckpoint(\nfilepath, monitor=\'loss\', verbose=0, save_best_only=True, mode=\'min\')\ncallbacks_list = [checkpoint]'}, {'role': 'assistant', 'content': 'modelling'}]