Pattern preview · 12 of 4,089 sample rules shown · site-specific intelligence stays private
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Tier-1 (public)
4,089
Tier-2 (your patterns)
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trainer_compatibility
ai-agents-trainer-compatibilit-customtrainer-compute-loss-fails-with-typeerror-go-dc2852a3
IFCustomTrainer.compute_loss() fails with TypeError: got an unexpected keyword argument 'num_items_in_batch' when using transformers >=4.49.0
THENUpdate the custom compute_loss method signature to accept num_items_in_batch=None as a keyword argument, even if unused. This restores compatibility with the Trainer's updated internal call that passes this argument.
Tier 170%
trainer_compatibility
ai-agents-trainer-compatibilit-customtrainer-s-compute-loss-method-raises-typeerr-b46bf59c
IFCustomTrainer's compute_loss method raises TypeError due to unexpected keyword argument 'num_items_in_batch' when used with transformers >=4.49.0.
THENUpdate 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.
Tier 170%
trainer_compatibility
ai-agents-trainer-compatibilit-training-fails-with-typeerror-customtrainer-comput-64248860
IFTraining fails with TypeError: CustomTrainer.compute_loss() got an unexpected keyword argument 'num_items_in_batch'
THENUpdate your custom compute_loss method signature to accept the new required argument num_items_in_batch with a default value of None. This is necessary because the Trainer in transformers >=4.49.0 now passes num_items_in_batch to compute_loss.
Tier 170%
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