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@@ -198,7 +198,7 @@ We fine-tune LLaMA-7B with the following hyperparameters:
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  | Hyperparameter | Global Batch Size | Learning rate | Epochs | Max length | Weight decay |
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  |:----------------|-------------------:|---------------:|--------:|------------:|--------------:|
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- | LLaMA 7B | 128 | 2e-5 | 3 | 2048 | 0 |
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  To reproduce the training procedure, please use the following command:
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@@ -259,7 +259,7 @@ python3 ./eval/generate.py \
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  --prompt_type alpaca \
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  --do_sample
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- 2. Evaluation
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  python3 ./eval/chatgpt_score.py \
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  --baseline_file ./eval/answer/<MODEL_1>.jsonl \ # answer of baseline model to compare with
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  --answer_file ./eval/answer/<MODEL_2>.jsonl \ # answer of evaluation model
@@ -285,10 +285,10 @@ python3 ./eval/generate.py \
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  --max_new_tokens 512 \
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  --prompt_type alpaca
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- 2. Evaluation
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  python3 ./eval/auto_eval.py \
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  --question_file ./eval/question/MATH_eval_set_sample.jsonl \
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- --answer_file ./eval/answer/<MODEL_ID>.jsonl
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  ```
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  ## Limitations
 
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  | Hyperparameter | Global Batch Size | Learning rate | Epochs | Max length | Weight decay |
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  |:----------------|-------------------:|---------------:|--------:|------------:|--------------:|
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+ | LLaMA 7B | 128 | 2e-5 | 3 | 512| 0 |
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  To reproduce the training procedure, please use the following command:
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  --prompt_type alpaca \
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  --do_sample
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+ # 2. Evaluation
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  python3 ./eval/chatgpt_score.py \
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  --baseline_file ./eval/answer/<MODEL_1>.jsonl \ # answer of baseline model to compare with
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  --answer_file ./eval/answer/<MODEL_2>.jsonl \ # answer of evaluation model
 
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  --max_new_tokens 512 \
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  --prompt_type alpaca
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+ # 2. Evaluation
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  python3 ./eval/auto_eval.py \
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  --question_file ./eval/question/MATH_eval_set_sample.jsonl \
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+ --answer_file ./eval/answer/<MODEL_ID>.jsonl # answer of evaluation model
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  ```
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  ## Limitations