How Does Trainer Know Which Trianing Input and Labels to Use?
Hi, I have a dataset with the following features:{'tokens': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None),'tags': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None),'input_ids': Sequence(feature=Value(dtype='int32', id=None), length=-1, id=None),'token_type_ids': Sequence(feature=Value(dtype='int8', id=None), length=-1, id=None),'attention_mask': Sequence(feature=Value(dtype='int8', id=None), length=-1, id=None),'labels': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None)}I can successfully give this dataset to trainer. However which section does it use as inputs? Which section does it use as labels?