| 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. |