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tokenizer 'padding' param is not correct. #669

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Apr 22, 2025
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2 changes: 1 addition & 1 deletion src/lighteval/models/transformers/transformers_model.py
Original file line number Diff line number Diff line change
Expand Up @@ -578,7 +578,7 @@ def greedy_until(
tokenized = self.tokenizer(
context,
truncation="longest_first", # we truncate to the model max length if needed
padding="max_length", # we pad to the longest sequence
padding="longest", # we pad to the longest sequence
return_tensors="pt",
max_length=max_context_continuation_size_allowed, # we always allow minimum one token of generation
add_special_tokens=self.add_special_tokens,
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