code: def benchmark_multi_sequence(config, runs=5):
      x, y = multi_label_sequence_data()
      config["multi_label_sequences"] = True
      return benchmark(SequenceLabeler, config, x, y, runs=runs)
  
file_path: finetune/speed_benchmarks/run.py
imports: import time
  from tabulate import tabulate
  from finetune import Classifier, SequenceLabeler
  from finetune.base_models import RoBERTa
  from synthetic_data import multi_label_sequence_data, sequence_data, classification_data
label_desc: Use image node_id 4 for calling a global function with example usage: benchmark_multi_sequence(config, runs) and returns: benchmark