Update README.md

README.md

@@ -8,7 +8,7 @@ metrics:
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 ## Model description
-This biLSTMhard model is a Bidirectional long-short-term memory (BiLSTM) architecture trained from scratch on Hotel Arabic Reviews Dataset (HARD) dataset with one bidirectional LSTM layer with 150 hidden states. 
+This biLSTMhard model is a Bidirectional Long-Short-Term Memory (BiLSTM) architecture trained from scratch on the Hotel Arabic Reviews Dataset (HARD) dataset with one bidirectional LSTM layer with 150 hidden states. 
 It achieves the following results on the evaluation test set: 
  - Accuracy: 80%
 
@@ -29,10 +29,10 @@ 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
 
 The following hyperparameters were used during training: