Fine-tuning a RoBERTa model for sentiment analysis on the IMDB movie reviews dataset using the Adapter method and PyTorch Transformers
-
Updated
Feb 7, 2025 - Jupyter Notebook
Fine-tuning a RoBERTa model for sentiment analysis on the IMDB movie reviews dataset using the Adapter method and PyTorch Transformers
Multilingual spellings correction and Question Answering Large Language Models
Bio-inspired adapters that improve foundation models beyond LoRA fine-tuning. 50+ neuroscience mechanisms searched via Thompson sampling over 10²² configurations. Validated on 20 benchmarks (85% win rate). Includes AI bias detection across major models.
Add a description, image, and links to the adapter-finetuning topic page so that developers can more easily learn about it.
To associate your repository with the adapter-finetuning topic, visit your repo's landing page and select "manage topics."