Update README.md

README.md

@@ -21,7 +21,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Adv_BERT_msda
 
-This model is a fine-tuned version of [aubmindlab/bert-base-arabertv2](https://huggingface.co/aubmindlab/bert-base-arabertv2) on Sentiment Analysis for Social Media Posts in Arabic Dialect (MSDA) dataset, besides our adversarial examples.
+This model is an **adversarially fine-tuned**  version of [aubmindlab/bert-base-arabertv2](https://huggingface.co/aubmindlab/bert-base-arabertv2) on the Sentiment Analysis for Social Media Posts in Arabic Dialect (MSDA) dataset, augmented by our generated adversarial examples.
 It achieves the following results on the evaluation set:
 - Loss: 0.4117
 - Accuracy: 0.8655
@@ -43,7 +43,7 @@ It achieves the following results on the evaluation set:
 
 ## Training procedure
 
-We have trained this model using the Paperspace GPU-Cloud service. We used a machine with 8 CPUs, 45GB RAM, and A6000 GPU with 48GB RAM.
+We have trained this model using the PaperSpace GPU-Cloud service. We used a machine with 8 CPUs, 45GB RAM, and A6000 GPU with 48GB RAM.
 
 ### Training hyperparameters