| CUDA_VISIBLE_DEVICES=0,1 python run.py \ | |
| --model_type roberta \ | |
| --do_train \ | |
| --do_eval \ | |
| --eval_all_checkpoints \ | |
| --train_file train_codesearchnet_7.json \ | |
| --dev_file dev_codesearchnet.json \ | |
| --max_seq_length 200 \ | |
| --per_gpu_train_batch_size 16 \ | |
| --per_gpu_eval_batch_size 16 \ | |
| --learning_rate 1e-5 \ | |
| --num_train_epochs 3 \ | |
| --gradient_accumulation_steps 1 \ | |
| --warmup_steps 1000 \ | |
| --evaluate_during_training \ | |
| --data_dir ../data/CodeSearchNet/ \ | |
| --output_dir ../model/model_codesearchnet \ | |
| --encoder_name_or_path microsoft/codebert-base |