To reproduce Table 1, please run
python main.py \
--prompt_file prompts/eli5_default.json \
--eval_file data/eli5_eval_bm25_top100_reranked_oracle.json \
--dataset_name eli5 \
--model_name_or_path \
--temperature 0.95 \
--top_p 0.95 \
--kl_ctl 0.8 \
--actor_learning_rate 1e-6 \
--max_new_tokens 300 \
--tau 0 \
--log_file logs/$name\_train.log \
--train_steps 100 \
--experiment_description "llama_2_13b eli5, $name" \
--delta_reward true \
python main.py \
--prompt_file prompts/eli5_default.json \
--eval_file data/eli5_eval_bm25_top100_reranked_oracle.json \
--dataset_name eli5 \
--model_name_or_path \
--temperature 0.95 \
--top_p 0.95 \
--kl_ctl 0.8 \
--actor_learning_rate 1e-6 \
--max_new_tokens 300 \
--tau 0 \
--log_file logs/$name\_train.log \
--train_steps 100 \
--experiment_description "llama_2_13b eli5, $name" \
--delta_reward false \To reproduce ALaRM baseline, please run
cd alce
python main_alarm.py