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Hi Qwen team, Thanks for your great work, which is really helpful!
However, I have some questions:
Have you tested the model performance only with SFT, i.e., without DPO? E.g., Qwen2.5-Code-SFT (SFT only) vs. Qwen2.5-Code-Instruct (SFT + DPO)?
Decontamination. Ideally speaking, the test repos or the test benchmark should be excluded from the training set. In your paper, it is mentioned that:
10-gram overlap method, where any training data with a 10-gram word-level overlap with the test data was removed.
Is there any chance 10-gram approach still has some leakage?
The text was updated successfully, but these errors were encountered:
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Hi Qwen team, Thanks for your great work, which is really helpful!
However, I have some questions:
Have you tested the model performance only with SFT, i.e., without DPO? E.g., Qwen2.5-Code-SFT (SFT only) vs. Qwen2.5-Code-Instruct (SFT + DPO)?
Decontamination. Ideally speaking, the test repos or the test benchmark should be excluded from the training set. In your paper, it is mentioned that:
Is there any chance 10-gram approach still has some leakage?
The text was updated successfully, but these errors were encountered: