|
--- |
|
language: en |
|
datasets: |
|
- squad_v2 |
|
license: mit |
|
thumbnail: https://thumb.tildacdn.com/tild3433-3637-4830-a533-353833613061/-/resize/720x/-/format/webp/germanquad.jpg |
|
tags: |
|
- exbert |
|
model-index: |
|
- name: deepset/roberta-base-squad2-distilled |
|
results: |
|
- task: |
|
type: question-answering |
|
name: Question Answering |
|
dataset: |
|
name: squad_v2 |
|
type: squad_v2 |
|
config: squad_v2 |
|
split: validation |
|
metrics: |
|
- name: Exact Match |
|
type: exact_match |
|
value: 80.8593 |
|
verified: true |
|
- name: F1 |
|
type: f1 |
|
value: 84.0104 |
|
verified: true |
|
--- |
|
|
|
## Overview |
|
**Language model:** deepset/roberta-base-squad2-distilled |
|
**Language:** English |
|
**Training data:** SQuAD 2.0 training set |
|
**Eval data:** SQuAD 2.0 dev set |
|
**Infrastructure**: 4x V100 GPU |
|
**Published**: Dec 8th, 2021 |
|
|
|
## Details |
|
- haystack's distillation feature was used for training. deepset/roberta-large-squad2 was used as the teacher model. |
|
|
|
## Hyperparameters |
|
``` |
|
batch_size = 80 |
|
n_epochs = 4 |
|
max_seq_len = 384 |
|
learning_rate = 3e-5 |
|
lr_schedule = LinearWarmup |
|
embeds_dropout_prob = 0.1 |
|
temperature = 1.5 |
|
distillation_loss_weight = 0.75 |
|
``` |
|
## Performance |
|
``` |
|
"exact": 79.8366040596311 |
|
"f1": 83.916407079888 |
|
``` |
|
|
|
## Authors |
|
- Timo M枚ller: `timo.moeller [at] deepset.ai` |
|
- Julian Risch: `julian.risch [at] deepset.ai` |
|
- Malte Pietsch: `malte.pietsch [at] deepset.ai` |
|
- Michel Bartels: `michel.bartels [at] deepset.ai` |
|
## About us |
|
 |
|
We bring NLP to the industry via open source! |
|
Our focus: Industry specific language models & large scale QA systems. |
|
|
|
Some of our work: |
|
- [German BERT (aka "bert-base-german-cased")](https://deepset.ai/german-bert) |
|
- [GermanQuAD and GermanDPR datasets and models (aka "gelectra-base-germanquad", "gbert-base-germandpr")](https://deepset.ai/germanquad) |
|
- [FARM](https://github.com/deepset-ai/FARM) |
|
- [Haystack](https://github.com/deepset-ai/haystack/) |
|
|
|
Get in touch: |
|
[Twitter](https://twitter.com/deepset_ai) | [LinkedIn](https://www.linkedin.com/company/deepset-ai/) | [Slack](https://haystack.deepset.ai/community/join) | [GitHub Discussions](https://github.com/deepset-ai/haystack/discussions) | [Website](https://deepset.ai) |
|
|
|
By the way: [we're hiring!](http://www.deepset.ai/jobs) |
