Update README.md

README.md

@@ -6,8 +6,60 @@ language:
 - en
 metrics:
 - accuracy
-library_name: adapter-transformers
 pipeline_tag: text-generation
 tags:
-- not-for-all-audiences
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+- code
+---
+# Model Card for Model ID
+
+<!-- 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 Details
+
+### 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 [optional]:** 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 [email protected].
+
+
+