- Evaluate and fine-tune the pre-trained model with D-, ARC-, and ARCL-encoding on commits granularity.
sh run_commits_D.sh & dataset & cuda number
sh run_commits_ARC.sh & dataset & cuda number
sh run_commits_ARCL.sh & dataset & cuda number
- Evaluate and fine-tune the pre-trained model with D-, ARC- and ARCL-encoding on file granularity.
sh run_files_D.sh & dataset & cuda number
sh run_files_ARC.sh & dataset & cuda number
sh run_files_ARCL.sh & dataset & cuda number
- Evaluate and fine-tune the pre-trained model with D-, ARC-, and ARCL-encoding on hunks granularity.
sh run_hunks_D.sh & dataset & cuda number
sh run_hunks_ARC.sh & dataset & cuda number
sh run_hunks_ARCL.sh & dataset & cuda number
Evaluation results are saved to retrieval_result.csv in the results directory.