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We apologize for the delayed response. We have provided detailed explanations for each CoBa parameter, along with recommended settings, in the "CoBa Arguments Configuration" section of the mftcoder_accelerate README. These configurations are similar to the experimental settings described in our paper. However, it's important to note that the optimal values for some parameters may depend on the size of your validation dataset.
Regarding the CRT dataset, we are still in the process of the open-sourcing procedure. Once the process is complete, we will notify you by posting an update in this issue. We appreciate your interest and patience as we work towards making this resource available to the community.
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[-]请问CoBa论文中，训练Qwen1.8B使用的special_token是如何设置的[/-][+]请问CoBa论文中，训练参数是如何设置的[/+]GoneZ5 commentedon Mar 19, 2025
We apologize for the delayed response. We have provided detailed explanations for each CoBa parameter, along with recommended settings, in the "CoBa Arguments Configuration" section of the mftcoder_accelerate README. These configurations are similar to the experimental settings described in our paper. However, it's important to note that the optimal values for some parameters may depend on the size of your validation dataset.
Regarding the CRT dataset, we are still in the process of the open-sourcing procedure. Once the process is complete, we will notify you by posting an update in this issue. We appreciate your interest and patience as we work towards making this resource available to the community.