---
license: apache-2.0
datasets:
- mlabonne/guanaco-llama2-1k
language:
- en
metrics:
- accuracy
pipeline_tag: text-generation
tags:
- code
---
# Model Card

<!-- Provide a quick summary of what the model is/does. -->

This model is designed to provide enhanced performance over the base LLaMA 2 Chat 7B model by incorporating more recent data and domain-specific knowledge.
The fine-tuning process aimed to improve the model's accuracy, conversational abilities, and understanding of up-to-date information across a range of topics.

### Model Description

<!-- Provide a longer summary of what this model is. -->
The model was fine-tuned on a curated dataset composed of the following sources:

Updated Information Dataset: A collection of recent articles, news updates, and relevant literature ensuring the model has access to current information.
Domain-Specific Datasets: Specialized datasets in areas such as technology, medicine, and climate change, aiming to enhance the model's expertise in these fields.
Conversational Interactions: A dataset derived from anonymized conversational exchanges, improving the model's natural language understanding and generation in chat-like scenarios.


- **Developed by:** Aneeb Ajmal
- **Language(s) (NLP):** English
- **License:** Apache 2.0
- **Finetuned from model:** LLaMA (Large Language Model Meta AI) 2 Chat 7B

## Training
- **Fine-Tuning Period:** 1 hour
- **Optimizer:** paged_adamw_32bit
- **Learning Rate:** 2e-4
- **Training Infrastructure:** Google Colab T4 GPU
- **Evaluation Metrics:** Accuracy, Perplexity, F1 Score, and Domain-Specific Benchmarks

## Ethical Considerations
During the development and fine-tuning of this model, considerations were made regarding:

- **Data Bias and Fairness:** Efforts to mitigate biases in the training data and ensure fair representation across demographics.
- **Privacy:** Measures taken to anonymize and protect sensitive information in the training data.
- **Use Case Restrictions:** Guidelines on responsible usage, highlighting areas where the model's predictions should be used with caution.

## Intended Use
This model is intended for use in applications requiring enhanced conversational abilities, up-to-date information, and domain-specific knowledge, including but not limited to chatbots, virtual assistants, and information retrieval systems. It is not designed for scenarios requiring absolute accuracy, such as medical diagnosis or legal advice.

## Limitations
The model may still exhibit biases or inaccuracies in certain contexts, despite efforts to mitigate these issues during fine-tuning.
The effectiveness of the model can vary significantly depending on the domain and specificity of the queries.

## How to Use
You can access this model by using the transformers library directly.

## Contact
For questions, feedback, or support regarding the fine-tuned LLaMA 2 Chat 7B model, please contact maneebajmal@gmail.com.