analysis_training_scale .sh

#!/bin/bash
BLOCK_SIZE=128
EPOCHS=50
BATCH_SIZE=8
LEARNING_RATE=5e-4
GRADIENT_ACCUMULATION_STEPS=1
DATASET_NAME=wjfu99/WikiMIA-24

MODEL=meta-llama/Llama-2-7b-hf
for MAX_TRAIN_SAMPLES in 20 40 60 80 100 120 140 160 180 200
do
    accelerate launch mia_hybrid.py -m ${MODEL} --unaligned_model -d ${DATASET_NAME} --max_train_samples ${MAX_TRAIN_SAMPLES} \
    --block_size ${BLOCK_SIZE} --epochs ${EPOCHS} --batch_size ${BATCH_SIZE} --learning_rate ${LEARNING_RATE} --gradient_accumulation_steps ${GRADIENT_ACCUMULATION_STEPS}
done

MODEL=meta-llama/Llama-2-7b-chat-hf

for MAX_TRAIN_SAMPLES in 20 40 60 80 100 120 140 160 180 200
do
    accelerate launch mia_hybrid.py -m ${MODEL} -d ${DATASET_NAME} --max_train_samples ${MAX_TRAIN_SAMPLES} \
    --block_size ${BLOCK_SIZE} --epochs ${EPOCHS} --batch_size ${BATCH_SIZE} --learning_rate ${LEARNING_RATE} --gradient_accumulation_steps ${GRADIENT_ACCUMULATION_STEPS}
done