OUTPUT_DIR='./qnli_rank_2_pruned_0.4_finetune_wab'

CUDA_VISIBLE_DEVICES=0 nohup python examples/pytorch/text-classification/run_glue_prune_tune.py \
    --save_total_limit 10 \
    --model_name_or_path qnli_rank2 \
    --task_name qnli \
    --output_dir ${OUTPUT_DIR} \
    --do_train \
    --do_eval \
    --num_train_epochs 3 \
    --save_steps 1000 \
    --seed 1 \
    --per_device_train_batch_size 8 \
    --max_seq_length 128 \
    --per_device_eval_batch_size 8 \
    --overwrite_output_dir \
    --logging_steps 1000 \
    --load_best_model_at_end True \
    --metric_for_best_model eval_accuracy \
    --apply_lora \
    --lora_r 2 \
    --pruning_ratio 0.4 \
    --evaluation_strategy steps &
