Update README.md

README.md

@@ -10,7 +10,7 @@ metrics:
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 ## Model description
-This 2dCNNhard model is a two-dimensional convolutional neural network (2D-CNN) architecture trained from scratch on Hotel Arabic Reviews Dataset (HARD) dataset with three window sizes of 3, 4, and 5, and 100 filters for each window size. 
+This 2dCNNhard model is a two-dimensional Convolutional Neural Network (2D-CNN) architecture trained from scratch on Hotel Arabic Reviews Dataset (HARD) dataset with three window sizes of 3, 4, and 5, and 100 filters for each window size. 
 It achieves the following results on the evaluation test set:
  - Accuracy:75%
 
@@ -33,10 +33,10 @@ It achieves the following results on the evaluation test set:
 
 ## Training and evaluation data
 
-We trained this model on a 90% train set and evaluated it on a 10% test set.
+We trained this model on a 90% training set and evaluated it on a 10% testing 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