| 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 |
|
|
