datasets.py [229:239]:
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    def evaluate_dataset(self, data_args: DataTrainingArguments, model, device, batch_size: int, macro: bool = False) \
            -> Dict[str, float]:
        """
        Evaluate model on this dataset.
        """
        results = Counter()

        for example, output_sentence in self.generate_output_sentences(data_args, model, device, batch_size):
            new_result = self.evaluate_example(
                    example=example,
                    output_sentence=output_sentence,
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datasets.py [1333:1343]:
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    def evaluate_dataset(self, data_args: DataTrainingArguments, model, device, batch_size: int, macro: bool = False) \
            -> Dict[str, float]:
        """
        Evaluate model on this dataset.
        """
        results = Counter()

        for example, output_sentence in self.generate_output_sentences(data_args, model, device, batch_size):
            new_result = self.evaluate_example(
                    example=example,
                    output_sentence=output_sentence,
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