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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
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