A project about fine-tuning bert-base-uncased model for reading comprehension tasks.
-
Updated
Mar 22, 2022 - Jupyter Notebook
A project about fine-tuning bert-base-uncased model for reading comprehension tasks.
Question Answering using BERT pre-trained model and fine-tuning it on various datasets (SQuAD, TriviaQA, NewsQ, Natural Questions, QuAC)
Sentiment Classifier using: Softmax-Regression, Feed-Forward Neural Network, Bidirectional stacked LSTM/GRU Recursive Neural Network, fine-tuning on BERT pre-trained model. Question Answering using BERT pre-trained model and fine-tuning it on various datasets (SQuAD, TriviaQA, NewsQ, Natural Questions, QuAC)
Add a description, image, and links to the quac-dataset topic page so that developers can more easily learn about it.
To associate your repository with the quac-dataset topic, visit your repo's landing page and select "manage topics."