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---
language: en
datasets:
- squad
metrics:
- squad
license: apache-2.0
model-index:
- name: autoevaluate/distilbert-base-cased-distilled-squad
results:
- task:
type: question-answering
name: Question Answering
dataset:
name: squad
type: squad
config: plain_text
split: validation
metrics:
- name: Exact Match
type: exact_match
value: 79.5942
verified: true
- name: F1
type: f1
value: 86.9944
verified: true
---
# 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. |