nohup python -m align_rot_generation.align_generate_rots --input ./rot_generation/output/t5-small_Q_A_TARGET_rot_epochs5_batch16_seed1 --output ./align_rot_generation/output --epochs 5 --model_checkpoint ./rot_generation/output/t5-small_Q_A_TARGET_rot_epochs5_batch16_seed1/model --gpu 0 --sample 5 --format_string "Q [answ] A [rot] ~ rot" --gradient_accumulation_steps 1 --metric_for_best_model rougeLsum --checking_steps 1600 --annotator_load_checkpoint ../preference_modeling/output/mic_d-PM_23-0830-1509 > align_t5.log 2>&1 &
nohup python -m align_rot_generation.align_generate_rots --input ./rot_generation/output/bart-large_Q_A_TARGET_rot_epochs5_batch16_seed1 --output ./align_rot_generation/output --epochs 2 --model_checkpoint ./rot_generation/output/bart-large_Q_A_TARGET_rot_epochs5_batch16_seed1/model --gpu 1 --sample 5 --format_string "Q [answ] A [rot] ~ rot" --batchsize 6 --gradient_accumulation_steps 3 --metric_for_best_model rougeLsum --checking_steps 1600 --annotator_load_checkpoint ../preference_modeling/output/mic_d-PM_23-0830-1509 > align_bart.log 2>&1 &
nohup python -m align_rot_generation.align_generate_rots --input ./rot_generation/output/flan-t5-base_Q_A_TARGET_rot_epochs5_batch16_seed1 --output ./align_rot_generation/output --epochs 2 --model_checkpoint ./rot_generation/output/flan-t5-base_Q_A_TARGET_rot_epochs5_batch16_seed1/model --gpu 2 --sample 5 --format_string "Q [answ] A [rot] ~ rot" --batchsize 8 --gradient_accumulation_steps 2 --metric_for_best_model rougeLsum --checking_steps 1600 --annotator_load_checkpoint ../preference_modeling/output/mic_d-PM_23-0830-1509 > align_flan.log 2>&1 &
