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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 |