Update README.md

README.md

@@ -4,7 +4,7 @@ license: cc-by-4.0
 datasets:
 - squad_v2
 model-index:
-- name: deepset/roberta-base-squad2
+- name: Shobhank-iiitdwd/RoBERTA-rrQA
   results:
   - task:
       type: question-answering
@@ -43,8 +43,6 @@ This is the [roberta-base](https://huggingface.co/roberta-base) model, fine-tune
 **Downstream-task:** Extractive QA  
 **Training data:** SQuAD 2.0  
 **Eval data:** SQuAD 2.0  
-**Code:**  See [an example QA pipeline on Haystack](https://haystack.deepset.ai/tutorials/first-qa-system)  
-**Infrastructure**: 4x Tesla v100
 
 ## Hyperparameters
 
@@ -58,27 +56,22 @@ lr_schedule = LinearWarmup
 warmup_proportion = 0.2
 doc_stride=128
 max_query_length=64
-``` 
-
-## Using a distilled model instead
-Please note that we have also released a distilled version of this model called [deepset/tinyroberta-squad2](https://huggingface.co/deepset/tinyroberta-squad2). The distilled model has a comparable prediction quality and runs at twice the speed of the base model.
+```  The distilled model has a comparable prediction quality and runs at twice the speed of the base model.
 
 ## Usage
 
 ### In Haystack
 Haystack is an NLP framework by deepset. You can use this model in a Haystack pipeline to do question answering at scale (over many documents). To load the model in [Haystack](https://github.com/deepset-ai/haystack/):
 ```python
-reader = FARMReader(model_name_or_path="deepset/roberta-base-squad2")
+reader = FARMReader(model_name_or_path="Shobhank-iiitdwd/RoBERTA-rrQA")
 # or 
-reader = TransformersReader(model_name_or_path="deepset/roberta-base-squad2",tokenizer="deepset/roberta-base-squad2")
+reader = TransformersReader(model_name_or_path="Shobhank-iiitdwd/RoBERTA-rrQA",tokenizer="Shobhank-iiitdwd/RoBERTA-rrQA")
 ```
-For a complete example of ``roberta-base-squad2`` being used for  Question Answering, check out the [Tutorials in Haystack Documentation](https://haystack.deepset.ai/tutorials/first-qa-system)
-
 ### In Transformers
 ```python
 from transformers import AutoModelForQuestionAnswering, AutoTokenizer, pipeline
 
-model_name = "deepset/roberta-base-squad2"
+model_name = "Shobhank-iiitdwd/RoBERTA-rrQA"
 
 # a) Get predictions
 nlp = pipeline('question-answering', model=model_name, tokenizer=model_name)
@@ -107,39 +100,4 @@ Evaluated on the SQuAD 2.0 dev set with the [official eval script](https://works
 "NoAns_exact": 81.79983179142137,
 "NoAns_f1": 81.79983179142137,
 "NoAns_total": 5945
-```
-
-## Authors
-**Branden Chan:** branden.chan@deepset.ai  
-**Timo Möller:** timo.moeller@deepset.ai  
-**Malte Pietsch:** malte.pietsch@deepset.ai  
-**Tanay Soni:**  tanay.soni@deepset.ai 
-
-## About us
-
-<div class="grid lg:grid-cols-2 gap-x-4 gap-y-3">
-    <div class="w-full h-40 object-cover mb-2 rounded-lg flex items-center justify-center">
-         <img alt="" src="https://raw.githubusercontent.com/deepset-ai/.github/main/deepset-logo-colored.png" class="w-40"/>
-     </div>
-     <div class="w-full h-40 object-cover mb-2 rounded-lg flex items-center justify-center">
-         <img alt="" src="https://raw.githubusercontent.com/deepset-ai/.github/main/haystack-logo-colored.png" class="w-40"/>
-     </div>
-</div>
-
-[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.
-
-
-Some of our other work: 
-- [Distilled roberta-base-squad2 (aka "tinyroberta-squad2")]([https://huggingface.co/deepset/tinyroberta-squad2)
-- [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)
-
-## Get in touch and join the Haystack community
-
-<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>. 
-
-We also have a <strong><a class="h-7" href="https://haystack.deepset.ai/community">Discord community open to everyone!</a></strong></p>
-
-[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)
-
-By the way: [we're hiring!](http://www.deepset.ai/jobs) 
+```