---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: bert-qa-en
  results:
  - task:
      type: question-answering
      name: Question Answering
    dataset:
      name: squad
      type: squad
      config: plain_text
      split: validation
    metrics:
    - type: f1
      value: 88.2785
      name: F1
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMjAwYTlhMmEwYzYyODNkMmE5MWMyMjVkODIxYjIwZTZmYTExOTViN2Q5NzQxZjNmMDU2YTRkNDM5YWNlZDI4YyIsInZlcnNpb24iOjF9.GXeoNUUTB45-QdHGM5hsbm5lDciKGBWLoJ-6X4AuXS7cZZJmk2J2S3notQ1ECtS8V7-p_uTdigKSXHRD2lsdAQ
    - type: exact_match
      value: 80.8327
      name: Exact Match
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOWFlNzUzYjYxNmU0OWQ3ZmNhNGFjNDJkNDczNDNjNTViMzcyY2FkNGE0ZmEwYzUxZDUyZjU2YTljMjNiNGQxNSIsInZlcnNpb24iOjF9.k4T-BcIf4nxGe_Ufxazwuv4VP9TMFqH4-ytAyX1Q-fCKGMc4_L4LL4_Cx9V09WAUx642kOSXQe5RAdHugSG7Cg
    - type: loss
      value: 1.1096982955932617
      name: loss
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMmI1YWI3MGQzNDJkOTkyMWI4YjBlZTUxNTZiOGQyYzQ1MmFiYzcwY2RiNTI3MWNlOWY3NWRiM2JmYWEwNGQ4YyIsInZlcnNpb24iOjF9.70-r3zM9boAfNO7hjPEOzgtTbFPpUsENt6e6Xkra4Shw16qU3ZHatbp44L28n1bUmfTNGF7N05CDKMHAthaLAA
---

<!-- 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. -->

# bert-qa-en

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the squad dataset.

## 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: 3e-05
- train_batch_size: 12
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2.0

### Training results



### Framework versions

- Transformers 4.20.1
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1