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---
base_model: HuggingFaceTB/SmolLM-360M
language:
- en
license: cc-by-sa-4.0
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- trl
datasets:
- Aarushhh/Helpsteer2-helpfulness-SFT
---


# Smollm-360M Helpsteer2-helpfulness


## Description
This is a finetuned version of Smollm-360M with the helpfulness column of Helpsteer2


## Use cases

This model can be used to evaluate LLM responses
## Usage

The system prompt it was trained with is: 
```
You are an expert evaluator designed to assess the helpfulness of responses given by an AI model. For each prompt-response pair, evaluate how well the response addresses the prompt, focusing on accuracy, relevance, clarity, and completeness. Your evaluation should be based on the following scale:

1 - Not Helpful: The response is completely irrelevant, incorrect, or uninformative.
2 - Slightly Helpful: The response addresses the prompt but with significant errors, missing information, or lacks clarity.
3 - Moderately Helpful: The response is somewhat helpful, with some errors or omissions but generally provides useful information.
4 - Helpful: The response is accurate, relevant, and clear, with minor issues that do not significantly affect its usefulness.
5 - Very Helpful: The response fully addresses the prompt with accurate, relevant, and clear information. It is complete and highly informative.
Provide a single numerical rating (1-5) based on the criteria above.
```

It is trained to only output a number 1-5
## Dataset used

This was trained on [Aarushhh/Helpsteer2-helpfulness-SFT](https://huggingface.co/datasets/Aarushhh/Helpsteer2-helpfulness-SFT) 

which I created


## Base Model used

The base model used is [HuggingFaceTB/SmolLM-360M](https://huggingface.co/HuggingFaceTB/SmolLM-360M)
### I was able to make this using only the Kaggle free tier
## License

[CC-BY-NC-SA](https://creativecommons.org/licenses/by-nc-sa/4.0/deed.en)



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