Miguell-J/Google-Competition-Gemma-2

Fine-tuning of Gemma 2 model in Google Competition using a dataset of Chinese poetry. The goal is to adapt the model to generate Chinese poetry in a classical style by training it on a subset of poems. The fine-tuning process leverages LoRA (Low-Rank Adaptation) for efficient model adaptation.

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MIT

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Feb 11, 2025

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