cleanup
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@@ -10,6 +10,7 @@ import transformers
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from transformers import (
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DataCollatorWithFlattening,
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EarlyStoppingCallback,
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Trainer,
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)
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from trl.trainer.utils import RewardDataCollatorWithPadding
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@@ -385,18 +386,11 @@ class HFCausalTrainerBuilder(TrainerBuilderBase):
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**data_collator_kwargs,
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)
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sig = inspect.signature(trainer_cls)
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# Check if trainer class inherits from transformers.Trainer
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# If so, we should pass the tokenizer/processing_class even if not in direct signature
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from transformers import Trainer as HFTrainer
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if "processing_class" in sig.parameters:
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if "processing_class" in sig.parameters or issubclass(trainer_cls, Trainer):
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trainer_kwargs["processing_class"] = self.tokenizer
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elif "tokenizer" in sig.parameters:
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trainer_kwargs["tokenizer"] = self.tokenizer
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elif issubclass(trainer_cls, HFTrainer):
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# For subclasses of transformers.Trainer, try processing_class first (newer HF versions)
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trainer_kwargs["processing_class"] = self.tokenizer
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if (
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trainer_cls not in [AxolotlRewardTrainer, AxolotlPRMTrainer]
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and self.cfg.datasets is not None
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