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Cross-Validation #9

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twinkle485 opened this issue Oct 13, 2024 · 0 comments
Open

Cross-Validation #9

twinkle485 opened this issue Oct 13, 2024 · 0 comments
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hacktoberfest For participants of hacktoberfest

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@twinkle485
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Participants can implement K-fold cross-validation to train the model on different data splits. This approach ensures that LoRA fine-tuning is robust and evaluated across various subsets of the data, leading to more reliable performance metrics.
Please ensure that you've read the guidelines present in CONTRIBUTING.md as well as the CODE_OF_CONDUCT.md.
@sohambuilds sohambuilds added the hacktoberfest For participants of hacktoberfest label Oct 13, 2024
@Sanjeev-Kumar78 Sanjeev-Kumar78 mentioned this issue Oct 17, 2024
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