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Question Answering with a Fine-Tuned BERT

License: MIT License

Jupyter Notebook 100.00%
bert-fine-tuning bert-models fine-tuning-bert question-answering bert fine-tuning-nlp nlp-machine-learning nlp python

bert-qa's Introduction

BERT-QA

Question Answering with a Fine-Tuned BERT

Results

The answer to: What are examples of economic actors?
is: (worker, capitalist/business owner, landlord).

Complete Text :
Neoclassical economics views inequalities in the distribution of income as arising from differences in value added by labor, capital and land. Within labor income distribution is due to differences in value added by different classifications of workers. In this perspective, wages and profits are determined by the marginal value added of each economic actor (worker, capitalist/business owner, landlord).Thus, in a market economy, inequality is a reflection of the productivity gap between highly-paid professions and lower-paid professions.

Author

License

MIT License

About

Create a question answering program using Fine-Tuned BERT and Tensorflow 2

Software tools

  • Python
  • Tensowrflow 2
  • sentencepiece
  • tf-models-official
  • tf-nightly
  • numpy as np
  • math
  • random
  • time
  • json
  • collections
  • os

bert-qa's People

Contributors

cag9 avatar

Watchers

 avatar

Forkers

amrutha1101

bert-qa's Issues

Error while running a cell

On running:

input_meta_data = generate_tf_record_from_json_file(
    "train-v1.1.json",
    "vocab.txt",
    "train-v1.1.tf_record")

Error:

NotFoundError: train-v1.1.json; No such file or directory

I'm getting this error. How do I resolve this?

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