EN` environment
            variable (strongly recommended). See full setup instructions in the
            [docs](https://docs.neptune.ai/setup/installation).
        project (`str`, *optional*): Name of an existing Neptune project, in the form "workspace-name/project-name".
            You can find and copy the name in Neptune from the project settings -> Properties. If None (default), the
            value of the `NEPTUNE_PROJECT` environment variable is used.
        name (`str`, *optional*): Custom name for the run.
        base_namespace (`str`, optional, defaults to "finetuning"): In the Neptune run, the root namespace
            that will contain all of the metadata logged by the callback.
        log_parameters (`bool`, *optional*, defaults to `True`):
            If True, logs all Trainer arguments and model parameters provided by the Trainer.
        log_checkpoints (`str`, *optional*): If "same", uploads checkpoints whenever they are saved by the Trainer.
            If "last", uploads only the most recently saved checkpoint. If "best", uploads the best checkpoint (among
            the ones saved by the Trainer). If `None`, does not upload checkpoints.
        run (`Run`, *optional*): Pass a Neptune run object if you want to continue logging to an existing run.
            Read more about resuming runs in the [docs](https://docs.neptune.ai/logging/to_existing_object).
        **neptune_run_kwargs (*optional*):
            Additional keyword arguments to be passed directly to the
            [`neptune.init_run()`](https://docs.neptune.ai/api/neptune#init_run) function when a new run is created.

    For instructions and examples, see the [Transformers integration
    guide](https://docs.neptune.ai/integrations/transformers) in the Neptune documentation.
    z%source_code/integrations/transformersZ