---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: extractive-question-answering
  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: exact_match
      value: 70.0
      name: Exact Match
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYmZjMTg4Y2RmMDFkNmIyNzJjY2ZjNDI4MjNiNWRhNWFhMjA3NzA2Mjc0ZTA4YzlmOGNiYTZhNDJkZTQwMjE5OCIsInZlcnNpb24iOjF9.W_s5Ug2oa7oAVQnHx0hg7KQkiombED_zkp02oGl3-DwfMf_99lbCHNOBhd9cNeXpaNhuu1BZEB8nR1ZB-KVVCg
    - type: f1
      value: 76.9929
      name: F1
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNDUzNTJiM2ZkMjA2NGIwMTdhZTliMWZlMzZhNGQ0NWNkNjE2YWI3MTUyZDI4OWUwNmQ5ZDRlNzQ0NGI0MWMyMSIsInZlcnNpb24iOjF9.UpR3sRhyOQ7QA928AK6yjj7a6Lrz3fB7OZ1pVmY5iNLT5cWF-BdCoXLZ9TrkaAisTb-0zyen-VZGdmIGKmaVAw
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# extractive-question-answering

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the squad dataset.
It achieves the following results on the evaluation set:

```
{'exact_match': 72.95175023651845,
 'f1': 81.85552166092225,
 'latency_in_seconds': 0.008616470915042614,
 'samples_per_second': 116.05679516125359,
 'total_time_in_seconds': 91.07609757200044}
```

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.263         | 1.0   | 5533 | 1.2169          |


### Framework versions

- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1