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run_allcuda0.sh
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mkdir logs
echo "exposing only cuda 0 to huggingface"
export CUDA_VISIBLE_DEVICES=0
echo For Table 1 results:
echo first two columns:
python experiments.py --device 0 --sample_size 120 --mroot "./trained_models/SQL/" --models M123E > logs/T1.C1.log
python experiments.py --device 0 --sample_size 120 --mroot "./trained_models/SQL/" --models M123 > logs/T1.C2.log
echo column 3-7:
python experiments.py --device 0 --sample_size 120 --mroot "./trained_models/SQL/" --models M1 M2 M3 --config SloraLoraHub > logs/T1.C3.log
python experiments.py --device 0 --sample_size 120 --mroot "./trained_models/SQL/" --models M1 M2 M3 --config SloraSum > logs/T1.C4.log
python experiments.py --device 0 --sample_size 120 --mroot "./trained_models/SQL/" --models M1 M2 M3 --config SloraMax > logs/T1.C5.log
# python experiments.py --device 0 --sample_size 120 --mroot "./trained_models/SQL/" --models M1 M2 M3 --config SloraLogit > logs/T1.C6.log
# python experiments.py --device 0 --sample_size 120 --mroot "./trained_models/6NF/" --pseudo --models M1 M2 M3 --config SloraLogit > logs/T1.C7.log
# echo For Table 2 results:
# echo first two columns:
# python experiments.py --device 0 --sample_size 120 --gpt --mroot "./trained_models/SQL/" --models M123E > logs/T2.C1.log
# python experiments.py --device 0 --sample_size 120 --gpt --mroot "./trained_models/SQL/" --models M123 > logs/T2.C2.log
# echo column 3-7:
# python experiments.py --device 0 --sample_size 120 --gpt --mroot "./trained_models/SQL/" --models M1 M2 M3 --config SloraLoraHub > logs/T2.C3.log
# python experiments.py --device 0 --sample_size 120 --gpt --mroot "./trained_models/SQL/" --models M1 M2 M3 --config SloraSum > logs/T2.C4.log
# python experiments.py --device 0 --sample_size 120 --gpt --mroot "./trained_models/SQL/" --models M1 M2 M3 --config SloraMax > logs/T2.C5.log
# python experiments.py --device 0 --sample_size 120 --gpt --mroot "./trained_models/SQL/" --models M1 M2 M3 --config SloraLogit > logs/T2.C6.log
# python experiments.py --device 0 --sample_size 120 --gpt --mroot "./trained_models/6NF/" --pseudo --models M1 M2 M3 --config SloraLogit > logs/T2.C7.log
# echo For Table 3 results:
# echo first two columns:
# python experiments.py --device 0 --sample_size 120 --mapping 1 --mroot "./trained_models/SQL_obf/" --models M123E > logs/T3.C1.log
# python experiments.py --device 0 --sample_size 120 --mapping 1 --mroot "./trained_models/SQL_obf/" --models M123 > logs/T3.C2.log
# echo column 3-7:
# python experiments.py --device 0 --sample_size 120 --mapping 1 --mroot "./trained_models/SQL_obf/" --models M1 M2 M3 --config SloraLoraHub > logs/T3.C3.log
# python experiments.py --device 0 --sample_size 120 --mapping 1 --mroot "./trained_models/SQL_obf/" --models M1 M2 M3 --config SloraSum > logs/T3.C4.log
# python experiments.py --device 0 --sample_size 120 --mapping 1 --mroot "./trained_models/SQL_obf/" --models M1 M2 M3 --config SloraMax > logs/T3.C5.log
# python experiments.py --device 0 --sample_size 120 --mapping 1 --mroot "./trained_models/SQL_obf/" --models M1 M2 M3 --config SloraLogit > logs/T3.C6.log
# python experiments.py --device 0 --sample_size 120 --mapping 1 --mroot "./trained_models/6NF_obf/" --pseudo --models M1 M2 M3 --config SloraLogit > logs/T3.C7.log