Saransh Mehta

Hi @mayankpathaklumiq Can you explain bit more what are you trying to run and details about the error? Are you trying to run the ``intent_ner_fragment`` example?

Hi @zy455761544 You can provide values for following hyper-parameters as arguments to the training script - ```train.py``` ``` epochs train_batch_size eval_batch_size learning_rate epsilon grad_accumulation_step num_of_warmup_steps grad_clip_value ``` To know about...

For auto hyper-parameters tuning, you can find the optimizer/scheduler/ related codes in ```models/model.py``` under ```multiTaskModel``` class. Libraries like Optuna might also be useful for hyper-parameters tuning. If you get good...

Hi @mayankpathaklumiq Thanks for writing. The concept of answerability is that given a query and a paragraph (context passage), determine where that query can be answered from given passage or...