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README.md

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----
-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/)
-
----