Ë l^(h‘ ãó2—ddlmZddlmZGd„de«Zy)é)Ú annotations)Ú$SentenceTransformerTrainingArgumentscó—eZdZdZy)ÚCrossEncoderTrainingArgumentsaž CrossEncoderTrainingArguments extends :class:`~transformers.TrainingArguments` with additional arguments specific to Sentence Transformers. See :class:`~transformers.TrainingArguments` for the complete list of available arguments. Args: output_dir (`str`): The output directory where the model checkpoints will be written. prompts (`Union[Dict[str, Dict[str, str]], Dict[str, str], str]`, *optional*): The prompts to use for each column in the training, evaluation and test datasets. Four formats are accepted: 1. `str`: A single prompt to use for all columns in the datasets, regardless of whether the training/evaluation/test datasets are :class:`datasets.Dataset` or a :class:`datasets.DatasetDict`. 2. `Dict[str, str]`: A dictionary mapping column names to prompts, regardless of whether the training/evaluation/test datasets are :class:`datasets.Dataset` or a :class:`datasets.DatasetDict`. 3. `Dict[str, str]`: A dictionary mapping dataset names to prompts. This should only be used if your training/evaluation/test datasets are a :class:`datasets.DatasetDict` or a dictionary of :class:`datasets.Dataset`. 4. `Dict[str, Dict[str, str]]`: A dictionary mapping dataset names to dictionaries mapping column names to prompts. This should only be used if your training/evaluation/test datasets are a :class:`datasets.DatasetDict` or a dictionary of :class:`datasets.Dataset`. batch_sampler (Union[:class:`~sentence_transformers.training_args.BatchSamplers`, `str`], *optional*): The batch sampler to use. See :class:`~sentence_transformers.training_args.BatchSamplers` for valid options. Defaults to ``BatchSamplers.BATCH_SAMPLER``. multi_dataset_batch_sampler (Union[:class:`~sentence_transformers.training_args.MultiDatasetBatchSamplers`, `str`], *optional*): The multi-dataset batch sampler to use. See :class:`~sentence_transformers.training_args.MultiDatasetBatchSamplers` for valid options. Defaults to ``MultiDatasetBatchSamplers.PROPORTIONAL``. N)Ú__name__Ú __module__Ú __qualname__Ú__doc__©óúo/var/www/skyplay_api_hub/venv/lib/python3.12/site-packages/sentence_transformers/cross_encoder/training_args.pyrrs„òr rN)Ú __future__rÚ#sentence_transformers.training_argsrrr r r úrsðÝ"åTôÐ$Hõr