lmflow.pipeline.rm_tuner#
Attributes#
Classes#
Initializes the RewardModelTuner class. |
Module Contents#
- class lmflow.pipeline.rm_tuner.RewardModelTuner(model_args, data_args, finetuner_args, *args, **kwargs)[source]#
Bases:
lmflow.pipeline.finetuner.Finetuner
Initializes the RewardModelTuner class.
- Parameters:
- model_argsModelArguments object.
Contains the arguments required to load the model.
- data_argsDatasetArguments object.
Contains the arguments required to load the dataset.
- finetuner_argsRewardModelTunerArguments object.
Contains the arguments required to perform finetuning.
- argsOptional.
Positional arguments.
- kwargsOptional.
Keyword arguments.
- tune(model: lmflow.models.hf_text_regression_model.HFTextRegressionModel, dataset, transform_dataset_in_place=True, data_collator=None, **kwargs)[source]#
Perform tuning for a model
- Parameters:
- modelTunableModel object.
TunableModel to perform tuning.
- dataset:
dataset to train model.