Source code for oumi.core.trainers.trl_dpo_trainer

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from trl import DPOTrainer


[docs] class TrlDpoTrainer(DPOTrainer): """Light wrapper around the DPOTrainer to handle vision models.""" def __init__( self, *args, **kwargs, ): """Initializes the TrlDpoTrainer.""" super().__init__(*args, **kwargs) def _prepare_dataset(self, dataset, processing_class, args, dataset_name): """Prepare the dataset for training.""" # Skip the dataset preparation since the dataset is already prepared. return dataset