andywang-25
commented
2 months ago Hi Marek,
I apologize for my late response.
On Github, I have published the code I have used for fine-tuning Llama-2 in the file "Training_code.ipynb." This file includes steps to generate the training and testing data sets.
Additionally, you can follow the code in "HPO_Model_Github.ipynb" to produce results with the testing data. This can be done by uploading the testing dataset of choice (synonyms, single typos, complex typos).
Please let me know if you have any questions and I would be happy to help, Andy
On Mon, Jul 29, 2024 at 2:56 AM Marek Wiewiórka @.***> wrote:
Hey @andywang-25 https://github.com/andywang-25 - really great work! We analyzed the results and they look really impressive - we would like to fine-tune other open-source models as well as try to benchmark some alternative approaches using your test cases - was it possible that you also publish the code you use for fine-tuning Llama-2 as well as the code you use for generating results available in the table 1 of your manuscript (I only found the code for the lucene part)? I would really appreciate so that we could more precisely verify the performance and how does it compare to the fine tuned llama-2 you released.
Many thanks, Marek
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mwiewior
Hey @andywang-25 - really great work! We analyzed the results and they look really impressive - we would like to fine-tune other open-source models as well as try to benchmark some alternative approaches using your test cases - was it possible that you also publish the code you use for fine-tuning Llama-2 as well as the code you use for generating results available in the table 1 of your manuscript (I only found the code for the lucene part)? I would really appreciate so that we could more precisely verify the performance and how does it compare to the fine tuned llama-2 you released.
Many thanks, Marek