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Bart Base Few Shot K 16 Finetuned Squad Seed 2
A fine-tuned version of the facebook/bart-base model on the SQuAD dataset, suitable for question-answering tasks.
Downloads 13
Release Time : 9/29/2022
Model Overview
This model is a fine-tuned version based on the BART-base architecture on the SQuAD question-answering dataset, primarily used for reading comprehension and QA tasks.
Model Features
Few-shot Learning
Utilizes few-shot learning strategy (k=16) for fine-tuning
Fixed Random Seed
Uses a fixed random seed (seed=2) during training to ensure reproducibility
QA Optimization
Specifically optimized for the SQuAD QA dataset
Model Capabilities
Reading comprehension
Question answering
Text generation
Use Cases
Education
Automated Answering System
Used to build automated question-answering systems in the education field
Information Retrieval
Document QA
Extracts answers from given documents to respond to user queries
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