README.md

---
base_model:
- meta-llama/Llama-3.2-1B-Instruct
datasets:
- openai/summarize_from_feedback
language:
- en
license: apache-2.0
metrics:
- accuracy
tags:
- text-generation-inference
- transformers
- llama
- trl
- meta
- summary
- summarization
---

# 🌟 Summarization Model Card 🌟

## Model Overview

- **Model Name:** Llama-3.2-1B Instruct Model Fine-tuned for Summarization
- **Developed by:** [saishshinde15](https://huggingface.co/saishshinde15)
- **License:** Apache-2.0
- **Base Model:** [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct)

## Description

This model has been fine-tuned to excel in generating concise and informative summaries from lengthy texts. It captures key ideas while presenting them in an easy-to-read bullet-point format.

### Key Features

- **Language:** English
- **Fine-tuned on:** The dataset `openai/summarize_from_feedback` for improved summarization capabilities.
- **Performance Metric:** Evaluated based on accuracy.

## Prompt for Optimal Use

For the best results, please utilize the following tried-and-true prompt structure:

```plaintext
You are given the following text. Please provide a summary in 5-10 key points, depending on the length of the document. Each point should be clearly formatted in bullet format, starting with an asterisk (*).

**Note:** The examples provided below are for your reference only and should not be included in your response.

### Examples (for reference only):
* The sky is blue on a clear day.
* Water boils at 100 degrees Celsius.
* Trees produce oxygen through photosynthesis.

### Original Text:
{}

### Key Points Summary (in bullet points):