readme: ---
  datasets:
  - squad_v2
  language: en
  license: mit
  pipeline_tag: question-answering
  tags:
  - deberta
  - deberta-v3
  model-index:
  - name: navteca/deberta-v3-base-squad2
    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: 83.8248
        verified: true
      - name: F1
        type: f1
        value: 87.41
        verified: true
    - task:
        type: question-answering
        name: Question Answering
      dataset:
        name: squad
        type: squad
        config: plain_text
        split: validation
      metrics:
      - name: Exact Match
        type: exact_match
        value: 84.9678
        verified: true
      - name: F1
        type: f1
        value: 92.2777
        verified: true
  ---
  
  # Deberta v3 base model for QA (SQuAD 2.0)
  
  This is the [deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) 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.
  
  ## Training Data
  The models have been trained on the [SQuAD 2.0](https://rajpurkar.github.io/SQuAD-explorer/) dataset.
  
  It can be used for question answering task.
  
  ## Usage and Performance
  The trained model can be used like this:
  ```python
  from transformers import AutoModelForQuestionAnswering, AutoTokenizer, pipeline
  
  # Load model & tokenizer
  deberta_model = AutoModelForQuestionAnswering.from_pretrained('navteca/deberta-v3-base-squad2')
  deberta_tokenizer = AutoTokenizer.from_pretrained('navteca/deberta-v3-base-squad2')
  
  # Get predictions
  nlp = pipeline('question-answering', model=deberta_model, tokenizer=deberta_tokenizer)
  
  result = nlp({
      'question': 'How many people live in Berlin?',
      'context': 'Berlin had a population of 3,520,031 registered inhabitants in an area of 891.82 square kilometers.'
  })
  
  print(result)
  
  #{
  #  "answer": "3,520,031"
  #  "end": 36,
  #  "score": 0.96186668,
  #  "start": 27,
  #}
  ```
  
  ## Author
  [deepset](http://deepset.ai/)
  