---
license: mit
datasets:
- ashmib/wikivoyage-eu-cities-qa
language:
- en
base_model:
- google/gemma-2-2b-it
pipeline_tag: question-answering
---

# Finetuning Gemma-2b-it Models to answer European travel-related Q&A

This is a sample project where we fine-tuned the Gemma-2b-it model on Wikivoyage travel data on European cities to see if it answers the travel related Q&A better.
This is also an ongoing WIP project.

### Training Specs
* Gemma-2b fine-tuned on 2 Nvidia A40 GPUs using HuggingFace SFTrainer
* 10 epochs
* 1e-5 learning rate
  
### Data
  * [Wikivoyage (English) data](https://huggingface.co/datasets/ashmib/wikivoyage-eu-cities-qa) for 160 European cities.
  * Used Gemini 1.5 Pro and Flash to extract relevant questions from the data.

[Code](https://github.com/ashmibanerjee/eu-travel-reco) | [Demo - TBD](https://huggingface.co/ashmib)