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executable file 56 lines (47 sloc) 1.47 KB
ANS_PATH=data/eli5_eval_bm25_top100_reranked_oracle_answers_llama31_70B_42.json
echo "Using answers from $ANS_PATH"
python run_pipeline.py \
--eli5_ans_path $ANS_PATH \
--attribution_system prompt_based \
--yaml_config llama31_8B.yaml \
--debug_num_samples 100
python run_pipeline.py \
--eli5_ans_path $ANS_PATH \
--attribution_system sliding_window \
--yaml_config llama31_8B.yaml \
--debug_num_samples 100
python run_pipeline.py \
--eli5_ans_path $ANS_PATH \
--attribution_system sliding_window \
--yaml_config llama31_8B_best.yaml \
--debug_num_samples 100
python run_pipeline.py \
--eli5_ans_path $ANS_PATH \
--attribution_system sliding_window \
--yaml_config llama31_8B_smoothing.yaml \
--debug_num_samples 100
python run_pipeline.py \
--eli5_ans_path $ANS_PATH \
--attribution_system sliding_window \
--yaml_config llama31_8B_thresholding.yaml \
--debug_num_samples 100
python run_pipeline.py \
--eli5_ans_path $ANS_PATH \
--attribution_system gradient_based \
--yaml_config llama31_8B.yaml \
--debug_num_samples 100
python run_pipeline.py \
--eli5_ans_path $ANS_PATH \
--attribution_system gradient_based \
--yaml_config llama31_8B_best.yaml \
--debug_num_samples 100
python run_pipeline.py \
--eli5_ans_path $ANS_PATH \
--attribution_system gradient_based \
--yaml_config llama31_8B_smoothing.yaml \
--debug_num_samples 100
python run_pipeline.py \
--eli5_ans_path $ANS_PATH \
--attribution_system gradient_based \
--yaml_config llama31_8B_thresholding.yaml \
--debug_num_samples 100