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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

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