) trainer = Seq2SeqTrainer( model = model, args = training_args, train_dataset = tokenized_train_dataset, eval_dataset = tokenized_eval_dataset, tokenizer = tokenizer, data_collator = data_collator, compute_metrics = compute_metrics, callbacks = [EarlyStoppingCallback(early_stopping_patience=3...
You can also subclass and override this method to inject custom behavior. Args: eval_dataset (:obj:`Dataset`, `optional`): Pass a dataset if you wish to override :obj:`self.eval_dataset`. If it is an :obj:`datasets.Dataset`, columns not accepted by the ``model.forward()`` method ...