fix mask_history tiny bug
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18e455c232
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@ -53,7 +53,7 @@ def _encode_supervised_example(
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input_ids += [image_token_id] * getattr(processor, "image_seq_length")
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labels += [IGNORE_INDEX] * getattr(processor, "image_seq_length")
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encoded_pairs = template.encode_multiturn(tokenizer, messages, system, tools)
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encoded_pairs = template.encode_multiturn(tokenizer, messages, system, tools, mask_history)
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total_length = 1 if template.efficient_eos else 0
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for turn_idx, (source_ids, target_ids) in enumerate(encoded_pairs):
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if total_length >= cutoff_len:
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@ -71,11 +71,12 @@ def _encode_supervised_example(
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else:
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source_label = [IGNORE_INDEX] * source_len
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if mask_history and turn_idx != len(encoded_pairs) - 1:
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target_label = [IGNORE_INDEX] * target_len
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if mask_history:
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target_label = target_ids if turn_idx==0 else [IGNORE_INDEX] * target_len
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input_ids = source_ids + target_ids + input_ids
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labels = source_label + target_label + labels
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else:
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target_label = target_ids
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input_ids += source_ids + target_ids
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labels += source_label + target_label
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@ -69,12 +69,16 @@ class Template:
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messages: Sequence[Dict[str, str]],
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system: Optional[str] = None,
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tools: Optional[str] = None,
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mask_history: bool = False,
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) -> List[Tuple[List[int], List[int]]]:
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r"""
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Returns multiple pairs of token ids representing prompts and responses respectively.
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"""
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encoded_messages = self._encode(tokenizer, messages, system, tools)
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if not mask_history:
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return [(encoded_messages[i], encoded_messages[i + 1]) for i in range(0, len(encoded_messages), 2)]
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else:
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return [(encoded_messages[i], encoded_messages[i + 1]) for i in range(len(encoded_messages)-2, -1, -2)]
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def extract_tool(self, content: str) -> Union[str, List[Tuple[str, str]]]:
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r"""
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