BERT fine-tuning for QA
all information about bert you can find here
What to do
Run jupyter notebook on colab to fine-tune BERT for QA on russian dataset or to test your own examples
Files description
dev.json, train.json, dev-mini.json & train-mini.json
That's the train and test (80% train, 20% test or dev) parts of sberbank's russian QA dataset.
To simply train model on your dataset use structure, similar to train.json
Train + dev = 50333 exapmles
Train-mini + dev-mini = 12000 examples
model.ckpt-*
This is fine-tuned BERT model for QA