h-LSSKJrJr SSKJr SSKJr \"SS\55rg)) dataclassfield)Optional)TrainingArgumentsc&^\rSrSr%Sr\"SSS0S9r\\S'\"SSS 0S9r \ \S '\"S SS 0S9r \ \ \S '\"SSS0S9r \ \\S'\"SSS0S9r\ \S'\"S SS0S9r\ \\S'\"S SS0S9r\ \\S'\"SSS0S9r\ \S'U4SjrSrU=r$) RewardConfiga Configuration class for the [`RewardTrainer`]. This class includes only the parameters that are specific to Reward training. For a full list of training arguments, please refer to the [`~transformers.TrainingArguments`] documentation. Note that default values in this class may differ from those in [`~transformers.TrainingArguments`]. Using [`~transformers.HfArgumentParser`] we can turn this class into [argparse](https://docs.python.org/3/library/argparse#module-argparse) arguments that can be specified on the command line. Parameters: max_length (`int` or `None`, *optional*, defaults to `1024`): Maximum length of the sequences (prompt + completion) in the batch, filters out entries that exceed the limit. This argument is required if you want to use the default data collator. disable_dropout (`bool`, *optional*, defaults to `True`): Whether to disable dropout in the model. dataset_num_proc (`int`, *optional*, defaults to `None`): Number of processes to use for processing the dataset. center_rewards_coefficient (`float`, *optional*, defaults to `None`): Coefficient to incentivize the reward model to output mean-zero rewards (proposed by https://huggingface.co/papers/2312.09244, Eq. 2). Recommended value: `0.01`. remove_unused_columns (`bool`, *optional*, defaults to `False`): Whether to remove the columns that are not used by the model's forward pass. Can be `True` only if the dataset is pretokenized. helpzLog every X updates steps. Should be an integer or a float in range `[0,1)`. If smaller than 1, will be interpreted as ratio of total training steps.)defaultmetadata logging_stepsTzZIf True, use gradient checkpointing to save memory at the expense of slower backward pass.gradient_checkpointingNzWhether to use bf16 (mixed) precision instead of 32-bit. Requires Ampere or higher NVIDIA architecture or Intel XPU or using CPU (use_cpu) or Ascend NPU. If not set, it defaults to `True` if `fp16` is not set.bf16izMaximum length of the sequences (prompt + completion) in the batch, filters out entries that exceed the limit. This argument is required if you want to use the default data collator. max_lengthzURcUR(+O URUl[TU] 5 g)N)rfp16super __post_init__)self __class__s S/home/james-whalen/.local/lib/python3.13/site-packages/trl/trainer/reward_config.pyrRewardConfig.__post_init__gs*'+yy'8Odii  )r)__name__ __module__ __qualname____firstlineno____doc__rrfloat__annotations__rboolrrrintrrrrr__static_attributes__ __classcell__)rs@rrrs78! D M5$) p $D ! ! D(4.!& h !J "XYOT',RS'hsm38 [ 3#( . #4  rrN) dataclassesrrtypingr transformersrrrrr.s/)* T $T  T r