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README.md
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---
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base_model:
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- meta-llama/Llama-3.2-1B-Instruct
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language:
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- en
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license: apache-2.0
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tags:
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- text-generation-inference
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- transformers
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- llama
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- trl
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- meta
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- summary
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datasets:
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- openai/summarize_from_feedback
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metrics:
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- accuracy
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pipeline_tag: summarization
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---
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#
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- **
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---
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base_model:
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+
- meta-llama/Llama-3.2-1B-Instruct
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language:
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- en
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license: apache-2.0
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tags:
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- text-generation-inference
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- transformers
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- llama
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- trl
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- meta
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- summary
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- summarization
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datasets:
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- openai/summarize_from_feedback
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metrics:
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- accuracy
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pipeline_tag: summarization
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---
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# 🌟 Summarization Model Card 🌟
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## Model Overview
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- **Model Name:** Llama-3.2-1B Instruct Model Fine-tuned for Summarization
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- **Developed by:** [saishshinde15](https://huggingface.co/saishshinde15)
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- **License:** Apache-2.0
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- **Base Model:** [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct)
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## Description
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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.
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### Key Features
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- **Language:** English
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- **Fine-tuned on:** The dataset `openai/summarize_from_feedback` for improved summarization capabilities.
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- **Performance Metric:** Evaluated based on accuracy.
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## Prompt for Optimal Use
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For the best results, please utilize the following tried-and-true prompt structure:
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```plaintext
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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 (*).
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**Note:** The examples provided below are for your reference only and should not be included in your response.
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### Examples (for reference only):
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* The sky is blue on a clear day.
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* Water boils at 100 degrees Celsius.
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* Trees produce oxygen through photosynthesis.
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### Original Text:
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{}
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### Key Points Summary (in bullet points):
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