OUTPUT_DIR='./wnli'

CUDA_VISIBLE_DEVICES=1 nohup python examples/pytorch/text-classification/run_glue.py \
    --save_total_limit 20 \
    --model_name_or_path bert-base-uncased \
    --task_name wnli \
    --output_dir ${OUTPUT_DIR} \
    --do_train \
    --do_eval \
    --num_train_epochs 5 \
    --save_steps 100 \
    --seed 1 \
    --per_device_train_batch_size 8 \
    --max_seq_length 128 \
    --per_device_eval_batch_size 8 \
    --overwrite_output_dir \
    --logging_steps 100 \
    --load_best_model_at_end True \
    --metric_for_best_model eval_accuracy \
    --evaluation_strategy steps > 0922_wnli_dense.out &
