README.md

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