What parameters use to get model 'bidaf_10.h5'?

[hemavatisaboo]

What parameters are used to train model 'bidaf_10.h5'? When I am trying to train the code, I am not getting that much accuracy. I used epochs=1000, steps_per_epoch=10, validation _steps=1.

[ParikhKadam]

The SQUAD v1.1 dataset contains more than 100000 question-answer pairs. You are training the model on only 10*1000=10000 pairs. That's not even a single iteration on the dataset. That's the reason you won't get accuracy.

For more analysis on SQUAD v1.1, you may look here - https://datarepository.wolframcloud.com/resources/SQuAD-v1.1

Reply if this solves your issue..

[r-baradaran]

The SQUAD v1.1 dataset contains more than 100000 question-answer pairs. You are training the model on only 10*1000=10000 pairs. That's not even a single iteration on the dataset. That's the reason you won't get accuracy.

For more analysis on SQUAD v1.1, you may look here - https://datarepository.wolframcloud.com/resources/SQuAD-v1.1

Reply if this solves your issue..

Hello, I have the same problem. I have run
!bidaf-keras --do_lowercase train --epochs=10 --batch_size=8 --save_model_per_epoch
but accuracy is very low (below 1%) and grow very slowly . what are the best parameters to train bidaf-keras to get good accuracy?