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MergeModelCallback[[trl.experimental.merge_model_callback.MergeModelCallback]]

  • merge_config (experimental.merge_model_callback.MergeConfig, optional) -- Configuration used for the merging process. If not provided, the default MergeConfig is used.
  • merge_at_every_checkpoint (bool, optional, defaults to False) -- Whether to merge the model at every checkpoint.
  • push_to_hub (bool, optional, defaults to False) -- Whether to push the merged model to the Hub after merging.

A TrainerCallback that merges the policy model (the model being trained) with another model based on a merge configuration.

Example:

>>> from trl.experimental.merge_model_callback import MergeConfig, MergeModelCallback

>>> config = MergeConfig()
>>> merge_callback = MergeModelCallback(config)
>>> trainer = DPOTrainer(..., callbacks=[merge_callback])

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