GitHub / vedavyas0105 / Financial-Sentiment-Distillation
This project leverages knowledge distillation to create a lightweight yet powerful sentiment analysis model, tailored specifically for financial news data. Using a teacher-student approach, the project distills knowledge from a large FinBERT model into a compact DistilBERT-based student model, balancing performance and efficiency.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vedavyas0105%2FFinancial-Sentiment-Distillation
PURL: pkg:github/vedavyas0105/Financial-Sentiment-Distillation
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 919 KB
Dependencies parsed at: Pending
Created at: 5 months ago
Updated at: 4 months ago
Pushed at: 4 months ago
Last synced at: 4 months ago
Topics: data-augmentation, distilbert, finbert, hugging-face-transformers, natural-language-processing, sentiment-analysis, text-preprocessing, tokenization