Code Documentation Generation On 4
Metrics
Smoothed BLEU-4
Results
Performance results of various models on this benchmark
Model Name | Smoothed BLEU-4 | Paper Title | Repository |
|---|---|---|---|
| CodeBERT (MLM+RTD) | 8.46 | CodeBERT: A Pre-Trained Model for Programming and Natural Languages | - |
| RoBERTa | 7.26 | CodeBERT: A Pre-Trained Model for Programming and Natural Languages | - |
| CodeBERT (MLM) | 7.95 | CodeBERT: A Pre-Trained Model for Programming and Natural Languages | - |
| Transformer | 7.87 | CodeBERT: A Pre-Trained Model for Programming and Natural Languages | - |
| seq2seq | 6.96 | CodeBERT: A Pre-Trained Model for Programming and Natural Languages | - |
| CodeTrans-MT-Base | 15.26 | CodeTrans: Towards Cracking the Language of Silicon's Code Through Self-Supervised Deep Learning and High Performance Computing | - |
| pre-train w/ code only | 7.36 | CodeBERT: A Pre-Trained Model for Programming and Natural Languages | - |
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