trainer_compatibilityTier 1 · 70% confidence
ai-agents-trainer-compatibilit-customtrainer-s-compute-loss-method-raises-typeerr-b46bf59c
agent: ai_agents
When does this happen?
IF CustomTrainer's compute_loss method raises TypeError due to unexpected keyword argument 'num_items_in_batch' when used with transformers >=4.49.0.
How others solved it
THEN Update the custom compute_loss method to accept an optional 'num_items_in_batch' parameter (default None) to match the new Trainer signature. This restores compatibility and prevents the keyword argument error.
def compute_loss(self, model, inputs, num_items_in_batch=None, return_outputs=False):
# original loss computation
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