lang=python     #programming language
lr=5e-5
batch_size=32
beam_size=10
source_length=256
target_length=128
data_dir=../dataset
output_dir=../model/$lang
train_file=$data_dir/$lang/train.jsonl
dev_file=$data_dir/$lang/valid.jsonl
epochs=10 
pretrained_model=microsoft/codebert-base #Roberta: roberta-base

CUDA_VISIBLE_DEVICES=2,3 python run.py \
--do_train \
--do_eval \
--model_type roberta \
--model_name_or_path $pretrained_model \
--train_filename $train_file \
--dev_filename $dev_file \
--output_dir $output_dir \
--max_source_length $source_length \
--max_target_length $target_length \
--beam_size $beam_size \
--train_batch_size $batch_size \
--eval_batch_size $batch_size \
--learning_rate $lr \
--num_train_epochs $epochs