class_docstr: Bert Score Evaluator. Now, we support metrics `'bert score'`.
      
code: def __init__(self, config):
      super(BertScoreEvaluator, self).__init__(config)
      self.model_type = config["bert_score_model_type"]
      self.lang = config["tgt_lang"]
      self.batch_size = config["eval_batch_size"]
      self.device = config["device"]
  
imports: import logging
  import transformers
  from bert_score import score
  from .abstract_evaluator import AbstractEvaluator
label_desc: Use image node_id 1 to create a new BertScoreEvaluator object from inherited base classes: AbstractEvaluator with example: obj = BertScoreEvaluator(config)