Feature: Basic distilling. #6527
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hiyouga
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Jan 8, 2025
| else: | ||
| self.processing_class: "PreTrainedTokenizer" = kwargs.get("tokenizer") | ||
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| self.teacher_model = teacher_model |
| return (loss, outputs) if return_outputs else loss | ||
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| @override | ||
| def prediction_step( |
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We can remove the prediction in distill trainer since sft trainer already provided this function
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What does this PR do?
Fixes # (issue)
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