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README.md
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---
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---
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license: cc-by-4.0
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datasets:
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- squad_v2
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model-index:
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- name: Aviskaaram-ekta
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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: -
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name: Exact Match
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verified: true
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verifyToken: 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
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- type: f1
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value: -
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name: F1
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verified: true
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verifyToken: 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
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- type: total
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value: 11869
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name: total
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verified: true
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verifyToken: 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
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---
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# Aviskaaram-ekta for QA
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This is the [
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## Overview
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**Language model:**
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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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max_query_length=64
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```
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## Usage
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### In Haystack
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# or
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reader = TransformersReader(model_name_or_path="AVISHKAARAM/avishkaarak-ekta-hindi",tokenizer="deepset/roberta-base-squad2")
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```
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For a complete example of ``avishkaarak-ekta-hindi`` being used for Question Answering, check out the [Tutorials in Haystack Documentation](https://haystack.deepset.ai/tutorials/first-qa-system)
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### In Transformers
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```python
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Evaluated on the SQuAD 2.0 dev set with the [official eval script](https://worksheets.codalab.org/rest/bundles/0x6b567e1cf2e041ec80d7098f031c5c9e/contents/blob/).
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```
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"exact": ,
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"f1": ,
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"total": ,
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"HasAns_exact": ,
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"HasAns_f1": ,
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"HasAns_total": ,
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"NoAns_exact": ,
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"NoAns_f1": ,
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"NoAns_total":
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```
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## Authors
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**
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**Timo Möller:** [email protected]
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**Malte Pietsch:** [email protected]
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**Tanay Soni:** [email protected]
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## About us
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<div class="grid lg:grid-cols-2 gap-x-4 gap-y-3">
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<div class="w-full h-40 object-cover mb-2 rounded-lg flex items-center justify-center">
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<img alt="" src="https://raw.githubusercontent.com/deepset-ai/.github/main/deepset-logo-colored.png" class="w-40"/>
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</div>
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<div class="w-full h-40 object-cover mb-2 rounded-lg flex items-center justify-center">
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<img alt="" src="https://raw.githubusercontent.com/deepset-ai/.github/main/haystack-logo-colored.png" class="w-40"/>
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</div>
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</div>
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[deepset](http://deepset.ai/) is the company behind the open-source NLP framework [Haystack](https://haystack.deepset.ai/) which is designed to help you build production ready NLP systems that use: Question answering, summarization, ranking etc.
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## Get in touch and join the Haystack community
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<p>For more info on Haystack, visit our <strong><a href="https://github.com/deepset-ai/haystack">GitHub</a></strong> repo and <strong><a href="https://docs.haystack.deepset.ai">Documentation</a></strong>.
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We also have a <strong><a class="h-7" href="https://haystack.deepset.ai/community">Discord community open to everyone!</a></strong></p>
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[Twitter](https://twitter.com/deepset_ai) | [LinkedIn](https://www.linkedin.com/company/deepset-ai/) | [Discord](https://haystack.deepset.ai/community) | [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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---
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---
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# AVISHKAARAM/avishkaarak-ekta-hindi for QA
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This is the [avishkaarak-ekta-hindi](https://huggingface.co/AVISHKAARAM/avishkaarak-ekta-hindi) model, fine-tuned using the [SQuAD2.0](https://huggingface.co/datasets/squad_v2) dataset. It's been trained on question-answer pairs, including unanswerable questions, for the task of Question Answering.
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## Overview
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**Language model:** avishkaarak-ekta-hindi
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**Language:** English, Hindi(Upcoming)
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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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max_query_length=64
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```
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## Usage
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### In Haystack
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# or
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reader = TransformersReader(model_name_or_path="AVISHKAARAM/avishkaarak-ekta-hindi",tokenizer="deepset/roberta-base-squad2")
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```
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For a complete example of ``AVISHKAARAM/avishkaarak-ekta-hindi`` being used for Question Answering, check out the [Tutorials in Haystack Documentation](https://haystack.deepset.ai/tutorials/first-qa-system)
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### In Transformers
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```python
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Evaluated on the SQuAD 2.0 dev set with the [official eval script](https://worksheets.codalab.org/rest/bundles/0x6b567e1cf2e041ec80d7098f031c5c9e/contents/blob/).
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```
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"exact": 79.87029394424324,
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"f1": 82.91251169582613,
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"total": 11873,
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"HasAns_exact": 77.93522267206478,
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"HasAns_f1": 84.02838248389763,
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"HasAns_total": 5928,
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"NoAns_exact": 81.79983179142137,
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"NoAns_f1": 81.79983179142137,
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"NoAns_total": 5945
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```
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## Authors
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**Shashwat Bindal:** optimus.coders.@ai
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**Sanoj:** optimus.coders.@ai
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