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---
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
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- 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
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