This model is a fine-tuned version of distilbert-base-uncased on an the NewsQA dataset.
So it was specifically trained to answer questions in English news articles.
It achieves the following results on the evaluation set:
Loss: 1.9481
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
distributed_type: tpu
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
