!/bin/bash  cd transformers/examples/pytorch/text-classification/  pip install datasets  output_dir="ds_results"  num_gpus=8  batch_size=4  python -m torch.distributed.launch --nproc_per_node=${num_gpus} \   run_xnli.py \   --model_name_or_path microsoft/mdeberta-v3-base \   --task_name $TASK_NAME \   --do_train \   --do_eval \   --train_language en \   --language en \   --evaluation_strategy steps \   --max_seq_length 256 \   --warmup_steps 3000 \   --per_device_train_batch_size ${batch_size} \   --learning_rate 2e-5 \   --num_train_epochs 6 \   --output_dir $output_dir \   --overwrite_output_dir \   --logging_steps 1000 \   --logging_dir $output_dir  ```  