repo_card.md

---
{}
---

    # distilbert-finetuned-uncased Model

    This model is fine-tuned on the SQuAD v2 dataset for the task of question answering.

    ## Training Procedure
    - Number of Epochs: 2
    - Learning Rate: 2e-05
    - Batch Size: 128 (per device)
    - Evaluation Strategy: Every 100 steps
    - Save Strategy: Every 100 steps
    - FP16 Training: Yes

    ## Evaluation Results
    - Exact Match: 23.347090036216628
    - F1 Score: 26.869992349988973
    - Total: 11873
    - Has Answer Exact: 38.630229419703106
    - Has Answer F1: 45.686136837283904
    - Has Answer Total: 5928
    - No Answer Exact: 8.107653490328007
    - No Answer F1: 8.107653490328007
    - No Answer Total: 5945
    - Best Exact: 50.11370336056599
    - Best Exact Threshold: 0.0
    - Best F1: 50.11370336056599
    - Best F1 Threshold: 0.0