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LongCodeZip/experiments/module-summarization/run.sh
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2025-10-11 21:33:12 +08:00

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export CUDA_VISIBLE_DEVICES=0
MODEL_NAME="Qwen/Qwen2.5-Coder-7B-Instruct"
MODEL_PATH_NAME="qwencoder-7b-instruct"
BASE_RESULT_DIR="results/${MODEL_PATH_NAME}"
BASE_LOG_DIR="logs/${MODEL_PATH_NAME}"
mkdir -p ${BASE_LOG_DIR}
mkdir -p ${BASE_RESULT_DIR}
echo "Starting experiments for ${MODEL_NAME} on GPU ${CUDA_VISIBLE_DEVICES}"
# --- CodeCompressor Method (Fine-grained with Beta) ---
TARGET_TOKENS=(4096)
FINE_RATIOS=(0.5)
BETAS=(0.5)
echo "--- Running CodeCompressor (Fine-grained with various Beta values) ---"
for ratio in "${FINE_RATIOS[@]}"; do
for tokens in "${TARGET_TOKENS[@]}"; do
if [[ "${ratio}" == "1.0" ]]; then
# If fine_ratio is 1.0, only use default beta 0.0
beta=0.0
echo "Running CodeCompressor (Fine-grained): target_tokens=${tokens}, fine_ratio=${ratio}, beta=${beta}"
python main.py \
--gen_model ${MODEL_NAME} \
--model_name ${MODEL_PATH_NAME} \
--method code_compressor \
--save_dir "${BASE_RESULT_DIR}" \
--code_compressor_target_token ${tokens} \
--code_compressor_fine_ratio ${ratio} \
--importance_beta ${beta} > "${BASE_LOG_DIR}/code_compressor_t${tokens}_fr${ratio}_b${beta}.log" 2>&1
echo "Finished CodeCompressor (Fine-grained): target_tokens=${tokens}, fine_ratio=${ratio}, beta=${beta}"
else
# For other fine_ratios, test different beta values
for beta in "${BETAS[@]}"; do
echo "Running CodeCompressor (Fine-grained): target_tokens=${tokens}, fine_ratio=${ratio}, beta=${beta}"
python main.py \
--gen_model ${MODEL_NAME} \
--model_name ${MODEL_PATH_NAME} \
--method code_compressor \
--save_dir "${BASE_RESULT_DIR}" \
--code_compressor_target_token ${tokens} \
--code_compressor_fine_ratio ${ratio} \
--importance_beta ${beta} > "${BASE_LOG_DIR}/code_compressor_t${tokens}_fr${ratio}_b${beta}.log" 2>&1
echo "Finished CodeCompressor (Fine-grained): target_tokens=${tokens}, fine_ratio=${ratio}, beta=${beta}"
done
fi
done
done
echo "--- Finished CodeCompressor ---"