---
language: en
license: apache-2.0
datasets:
- squad
metrics:
- squad
model-index:
- name: autoevaluate/distilbert-base-cased-distilled-squad
  results:
  - task:
      type: question-answering
      name: Question Answering
    dataset:
      name: autoevaluate/squad-sample
      type: autoevaluate/squad-sample
      config: autoevaluate--squad-sample
      split: test
    metrics:
    - type: f1
      value: 87.8248
      name: F1
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNWRkMTE3Mzg1YjhhYjA3NmI0ZjRjMmQ4ZmU0ODUyMzFjYTdlMDdjM2U0NDYyNDRjOTJiMzA0Yjk4ODlmNWUwMCIsInZlcnNpb24iOjF9.rld1n6sOped3yqbgs4P6egT3g-Eq3pt-tOkCewF9DzQSkl7m0B2AnwKp3wuXtd9e-x8siemGqEVTwsMkTpFmCA
    - type: exact_match
      value: 84.0
      name: Exact Match
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNjJiOWU4MmZkZTJlZDliZWRhYjBhMjhmM2YzYjlmYTE3ZmQ5OGU4MzFiYjViNDU5ZDJlODI5YzQzODI2OWQ3NSIsInZlcnNpb24iOjF9.XtqAnYzCO0_oll5_txjeIYsiAhdTIBYq6VYLrtBcp7O0t4hFpBIdKlLAoYSvfhLz-Bf3tsl-r6CrCrzvTmWQCg
---

# DistilBERT base cased distilled SQuAD

> Note: This model is a clone of [`distilbert-base-cased-distilled-squad`](https://huggingface.co/distilbert-base-cased-distilled-squad) for internal testing.

This model is a fine-tune checkpoint of [DistilBERT-base-cased](https://huggingface.co/distilbert-base-cased), fine-tuned using (a second step of) knowledge distillation on SQuAD v1.1.
This model reaches a F1 score of 87.1 on the dev set (for comparison, BERT bert-base-cased version reaches a F1 score of 88.7).

Using the question answering `Evaluator` from evaluate gives:

```
{'exact_match': 79.54588457899716,
 'f1': 86.81181300991533,
 'latency_in_seconds': 0.008683730778997168,
 'samples_per_second': 115.15787689073015,
 'total_time_in_seconds': 91.78703433400005}
```

which is roughly consistent with the official score.