Model Card for Model ID

This model is a fine-tuned version of distilbert-base-cased on SQuAD dataset. It achieves the following results on the evaluation set:

Train Loss: 0.9125
Validation Loss: 1.0106
Epoch: 2
Training Accuracy: 0.7709
Validation Accuracy: 0.7613

After using regularization and finetuning our model, here’s how it is performing:

Train Loss: 0.7615
Validation Loss: 0.6138
Epoch: 4
Training Accuracy: 0.8102
Validation Accuracy: 0.8210

Downloads last month: 1

Inference Examples

Question Answering

This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.