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@ -430,7 +430,7 @@ CUDA_VISIBLE_DEVICES=0 python src/train_bash.py \
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### Evaluation (MMLU & C-Eval)
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```bash
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CUDA_VISIBLE_DEVICES=0 python evaluation/evaluate.py \
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CUDA_VISIBLE_DEVICES=0 python src/evaluate.py \
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--model_name_or_path path_to_llama_model \
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--finetuning_type lora \
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--checkpoint_dir path_to_checkpoint \
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@ -429,7 +429,7 @@ CUDA_VISIBLE_DEVICES=0 python src/train_bash.py \
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### 模型评估(MMLU 和 C-Eval)
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```bash
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CUDA_VISIBLE_DEVICES=0 python evaluation/evaluate.py \
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CUDA_VISIBLE_DEVICES=0 python src/evaluate.py \
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--model_name_or_path path_to_llama_model \
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--finetuning_type lora \
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--checkpoint_dir path_to_checkpoint \
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@ -65,7 +65,7 @@ eval_templates = {
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"en": EvalTemplate(
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system="The following are multiple choice questions (with answers) about {subject}.\n\n",
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choice="\n{choice}. {content}",
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answer="\nAnswer: "
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answer="\nAnswer:"
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),
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"zh": EvalTemplate(
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system="以下是中国关于{subject}考试的单项选择题,请选出其中的正确答案。\n\n",
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