readme: ---
  datasets:
  - SQuAD
  
  language: 
  - English
  
  thumbnail: 
  
  tags:
  - roberta
  - roberta-base
  - question-answering
  - qa
  
  license: cc-by-4.0
  
  ---
  # roberta-base + SQuAD QA
  
  Objective:
    This is Roberta Base trained to do the SQuAD Task. This makes a QA model capable of answering questions. 
    
  ```
  model_name = "thatdramebaazguy/roberta-base-squad"
  pipeline(model=model_name, tokenizer=model_name, revision="v1.0", task="question-answering")
  ```
  
  ## Overview
  **Language model:** roberta-base  
  **Language:** English  
  **Downstream-task:** QA  
  **Training data:** SQuADv1  
  **Eval data:** SQuAD  
  **Infrastructure**: 2x Tesla v100   
  **Code:**  See [example](https://github.com/adityaarunsinghal/Domain-Adaptation/blob/master/scripts/shell_scripts/train_movieR_just_squadv1.sh)    
  
  ## Hyperparameters
  ```
  Num examples = 88567  
  Num Epochs = 10
  Instantaneous batch size per device = 32  
  Total train batch size (w. parallel, distributed & accumulation) = 64 
  
  ``` 
  ## Performance
  
  ### Eval on SQuADv1
  - epoch        =    10.0
  - eval_samples =   10790
  - exact_match  = 83.6045
  - f1           = 91.1709 
  
  ### Eval on MoviesQA
  - eval_samples =    5032
  - exact_match = 51.6494
  - f1 = 68.2615
  
  Github Repo: 
  - [Domain-Adaptation Project](https://github.com/adityaarunsinghal/Domain-Adaptation/)
  
  ---
  