Model Card for Model ID
Topic modeling on abstracts of papers from the CShorten/ML-ArXiv-Papers dataset. Due to the lack of high-quality labeled data (and the idea of creating topics dynamically), we employ a knowledge distillation approach. A large teacher model (Llama-3-70B) generates labels for the dataset, and a smaller student model (Llama-3-8B) is fine-tuned on this data. The fine-tuned student model is then used for inference.
Model Details
Trained using custom metric: ROUGE score
Model Description
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- Developed by: Ankit Agrawal (ankitagr.nitb[@]gmail.com)
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- Finetuned from model [optional]: meta-llama/Meta-Llama-3-8B-Instruct
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