Comments (3)
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The paper of RoBERTa is here and we use RoBERTa base model. The architecture of RoBERTa is same as CodeBERT but Roberta is pre-trained on text. You can easily use RoBERTa model that we used by changing
tokenizer_name
andmodel_name_or_path
frommicrosoft/codebert-base
toroberta-base
. -
Yes, the CodeBERT is directly fine-tuned on the Devign dataset.
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Instead of RoBERTa, shouldn't RoBERTa (code) be used in the defect detection task? I saw RoBERTa (code) is used in the translation task. I want to confirm that RoBERTa is used in defect detection, instead of RoBERTa (code).
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RoBERTa is used in defect detection. You are right and RoBERTa (code) should be used in the defect detection task. Maybe I can do the experiment later.
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Related Issues (20)
- How to complete in real time by CodeCompletion?
- Is there a python library to use code BLEU? HOT 1
- 403 Forbidden error for Code-To-Text data files HOT 6
- Question related to fine tuning pretrained models for Defect-Detection task
- clone detection reproduction,CodeBert pipeline MAP@R only 76.64
- The CodeBlue evaluation script about code-to-code translation
- About CodeBLEU
- not a mach-o file when run code bleu
- javascript keys for CodeBLEU HOT 1
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- The mlm and mlm_probability arguments in the run.py are not effective.
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