Create README.md

README.md

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+---
+license: mit
+language:
+- en
+metrics:
+- bertscore
+base_model:
+- LLM-PBE/Llama3.1-8b-instruct-LLMPC-Blue-Team
+---
+Model Card: LLM-PBE-FineTuned-FakeData
+Model Details
+Model Name: LLM-PBE-FineTuned-FakeData
+Creator: SanjanaCodes
+Language: English
+
+Description
+This model is a fine-tuned LLM trained on synthetic (fake) data for research purposes. It’s designed to help understand model behavior and the impact of fine-tuning with controlled, artificial datasets. This model should not be used for real-world applications due to its limited real-world relevance.
+
+Intended Use
+Research: Fine-tuning experiments, synthetic data evaluation.
+Educational: Suitable for controlled testing and benchmarking.
+Limitations
+- Performance: May lack contextual accuracy and depth outside synthetic data contexts.
+- Generalization: Best suited for synthetic data scenarios rather than practical applications.
+
+Acknowledgments
+Trained at NYU Tandon DICE Lab under Professor Chinmay Hegde & Niv Cohen