---
base_model:
- google/gemma-2-2b-it
tags:
- text-generation-inference
- transformers
- unsloth
- gemma2
- trl
license: gemma
language:
- en
- fi
---

The example uses a small dataset of 248 question-answer pairs from S-Group. 
While this small dataset will likely lead to overfitting, it effectively showcases the fine-tuning process using Unsloth. 
This repository is intended as a demonstration of the fine-tuning method, not a production-ready solution. 
Use repetition_penalty and no_repeat_ngram_size in prediction.
Instructions and dataset are in [GitHub](https://github.com/MLConvexAI/Gemma-2-2b-it-finetuning).


# Uploaded  model

- **Developed by:** mlconvexai
- **License:** Gemma
- **Finetuned from model :** google/gemma-2-2b-it

This gemma2 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.

[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)