MichelBartelsDeepset
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README.md
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---
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datasets:
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- squad_v2
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license: cc-by-4.0
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---
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# bert-base-uncased for QA
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## Overview
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**Language model:** roberta-base
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**Language:** English
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**Downstream-task:** Extractive QA
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**Training data:** SQuAD 2.0
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**Eval data:** SQuAD 2.0
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**Infrastructure**: 1x Tesla v100
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## Hyperparameters
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```
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batch_size = 32
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n_epochs = 3
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base_LM_model = "bert-base-uncased"
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max_seq_len = 384
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learning_rate = 3e-5
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lr_schedule = LinearWarmup
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warmup_proportion = 0.2
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doc_stride=128
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max_query_length=64
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```
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## Performance
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```
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"exact": 73.67977764676156
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"f1": 77.87647139308865
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```
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## Authors
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- Timo M枚ller: `timo.moeller [at] deepset.ai`
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- Julian Risch: `julian.risch [at] deepset.ai`
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- Malte Pietsch: `malte.pietsch [at] deepset.ai`
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- Michel Bartels: `michel.bartels [at] deepset.ai`
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## About us
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![deepset logo](https://workablehr.s3.amazonaws.com/uploads/account/logo/476306/logo)
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We bring NLP to the industry via open source!
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Our focus: Industry specific language models & large scale QA systems.
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Some of our work:
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- [German BERT (aka "bert-base-german-cased")](https://deepset.ai/german-bert)
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- [GermanQuAD and GermanDPR datasets and models (aka "gelectra-base-germanquad", "gbert-base-germandpr")](https://deepset.ai/germanquad)
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- [FARM](https://github.com/deepset-ai/FARM)
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- [Haystack](https://github.com/deepset-ai/haystack/)
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Get in touch:
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[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)
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By the way: [we're hiring!](http://www.deepset.ai/jobs)
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