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In this case, every section is saved in a separate .csv file. The path to each .csv file can optionally be defined via the argument data classes. Instead of benchmarking pre-trained models via their model identifier, e.g. google-bert/bert-base-uncased, the user can alternatively benchmark an arbitrary configuration of any available model class. |