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Model Description: This is a fine-tuned Gemma-2-9b model. Fine tuning was carried out using a synthetic dataset of 2,000 questions and answers in Spanish language divided in three levels of complexity. The synthetic dataset was generated using Python and, the highest level of complexity, I used the V1 LLM of DeepSeek. The original dataset included the complete electoral results of 5 Spanish general elections from 2011 to 2019, along with some socio-economic data. The electoral results were collected at 'section level', around an average of 700-800 electors. There are around 36,500 sections in Spain, therefore the dataset had some 181k rows and 76 columns.
This model was fine-tuned using Unsloth in 3 epochs, obtaining a validation loss of 0.30, but it showed afterwards some signs of overfiting.
Afterwards, we fine-tuned the model gemma-2-9b-electoral-5-elecciones, also present in this repository, with similar validation loss after 2 epochs, without showing signs of overfitting.
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