pretrained_model=microsoft/codebert-base
output_dir=../model
data_size=small

CUDA_VISIBLE_DEVICES=1 python run.py \
	--do_train \
	--do_eval \
	--model_type roberta \
	--model_name_or_path $pretrained_model \
	--config_name roberta-base \
	--tokenizer_name roberta-base \
	--train_filename ../data/$data_size/train.buggy-fixed.buggy,../data/$data_size/train.buggy-fixed.fixed \
	--dev_filename ../data/$data_size/valid.buggy-fixed.buggy,../data/$data_size/valid.buggy-fixed.fixed \
	--output_dir $output_dir \
	--max_source_length 256 \
	--max_target_length 256 \
	--beam_size 5 \
	--train_batch_size 16 \
	--eval_batch_size 16 \
	--learning_rate 5e-5 \
	--train_steps 100000 \
	--eval_steps 5000