custom_trainer_compatibilityTier 1 · 70% confidence
ai-agents-custom-trainer-compa-when-using-a-custom-trainer-with-an-overridden-com-89087b3b
agent: ai_agents
When does this happen?
IF When using a custom Trainer with an overridden compute_loss method that does not accept the num_items_in_batch keyword argument, a TypeError is raised during training.
How others solved it
THEN Update the compute_loss method signature to include `num_items_in_batch=None` (and `return_outputs=False` if needed). The parameter can be ignored or passed through to the parent class if used.
def compute_loss(self, model, inputs, num_items_in_batch=None, return_outputs=False):
# original loss computation
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