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LLaMA-Factory-310P3
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Merge pull request #4204 from dignfei/main 

fixbug：llama3在增量预训练时应该使用<|end_of_text|>标识文本的结束
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hoshi-hiyouga 2024-06-11 17:06:10 +08:00 committed by GitHub
parent cca6f35108 0c29233237
commit 9049aab911
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src/llamafactory/data/processors/pretrain.py
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@ -12,7 +12,8 @@ def preprocess_pretrain_dataset(
examples: Dict[str, List[Any]], tokenizer: "PreTrainedTokenizer", data_args: "DataArguments" examples: Dict[str, List[Any]], tokenizer: "PreTrainedTokenizer", data_args: "DataArguments"
) -> Dict[str, List[List[int]]]: ) -> Dict[str, List[List[int]]]:
# build grouped texts with format `X1 X2 X3 ...` if packing is enabled # build grouped texts with format `X1 X2 X3 ...` if packing is enabled
text_examples = [messages[0]["content"] + tokenizer.eos_token for messages in examples["prompt"]] eos_token = "<|end_of_text|>" if data_args.template == "llama3" else tokenizer.eos_token
text_examples = [messages[0]["content"] + eos_token for messages in examples["prompt"]]
if not data_args.packing: if not data_args.packing:
if data_args.template == "gemma": if data_args.template == "gemma":