Update README.md

README.md

@@ -21,7 +21,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 ## Model description
 
-BERTbase fine-tuned on SQuAD 2.0 : Encoder-based Transformer Language model, pretrained with Masked Language Modeling and Next Sentence Prediction.<br>
+RoBERTa-base fine-tuned on SQuAD 2.0 : Encoder-based Transformer Language model, pretrained with Dynamic Masking, No Next Sentence Prediction and increased Batch size compared to BERT.<br>
 Suitable for Question-Answering tasks, predicts answer spans within the context provided.<br>
 
 **Language model:** roberta-base  
@@ -40,10 +40,12 @@ For Question-Answering -
 from transformers import pipeline
 model_checkpoint = "IProject-10/roberta-base-finetuned-squad2"
 question_answerer = pipeline("question-answering", model=model_checkpoint)
+
 context = """
 🤗 Transformers is backed by the three most popular deep learning libraries — Jax, PyTorch and TensorFlow — with a seamless integration
 between them. It's straightforward to train your models with one before loading them for inference with the other.
 """
+
 question = "Which deep learning libraries back 🤗 Transformers?"
 question_answerer(question=question, context=context)
 ```