|
--- |
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language: en |
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license: mit |
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tags: |
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- exbert |
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datasets: |
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- squad_v2 |
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thumbnail: https://thumb.tildacdn.com/tild3433-3637-4830-a533-353833613061/-/resize/720x/-/format/webp/germanquad.jpg |
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model-index: |
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- name: deepset/bert-medium-squad2-distilled |
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results: |
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- task: |
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type: question-answering |
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name: Question Answering |
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dataset: |
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name: squad_v2 |
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type: squad_v2 |
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config: squad_v2 |
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split: validation |
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metrics: |
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- type: exact_match |
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value: 69.8231 |
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name: Exact Match |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMmE4MGRkZTVjNmViMGNjYjVhY2E1NzcyOGQ1OWE1MWMzMjY5NWU0MmU0Y2I4OWU4YTU5OWQ5YTI2NWE1NmM0ZSIsInZlcnNpb24iOjF9.tnCJvWzMctTwiQu5yig_owO2ZI1t1MZz1AN2lQy4COAGOzuMovD-74acQvMbxJQoRfNNkIetz2hqYivf1lJKDw |
|
- type: f1 |
|
value: 72.9232 |
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name: F1 |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZTMwNzk0ZDRjNGUyMjQyNzc1NzczZmUwMTU2MTM5MGQ3M2NhODlmOTU4ZDI0YjhlNTVjNDA1MGEwM2M1MzIyZSIsInZlcnNpb24iOjF9.eElGmTOXH_qHTNaPwZ-dUJfVz9VMvCutDCof_6UG_625MwctT_j7iVkWcGwed4tUnunuq1BPm-0iRh1RuuB-AQ |
|
--- |
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|
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## Overview |
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**Language model:** deepset/roberta-base-squad2-distilled |
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**Language:** English |
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**Training data:** SQuAD 2.0 training set |
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**Eval data:** SQuAD 2.0 dev set |
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**Infrastructure**: 1x V100 GPU |
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**Published**: Apr 21st, 2021 |
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|
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## Details |
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- haystack's distillation feature was used for training. deepset/bert-large-uncased-whole-word-masking-squad2 was used as the teacher model. |
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|
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## Hyperparameters |
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``` |
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batch_size = 6 |
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n_epochs = 2 |
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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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embeds_dropout_prob = 0.1 |
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temperature = 5 |
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distillation_loss_weight = 1 |
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``` |
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## Performance |
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``` |
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"exact": 68.6431398972458 |
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"f1": 72.7637083790805 |
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``` |
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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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 |
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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/) | [Discord](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) |
