Update README.md

README.md

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 <!-- Provide a quick summary of what the model is/does. -->
 
-This model is a **fine-tuned version of Whisper-large-v2 model specifically tuned for software developers.** It transcribes words like 'ChatGPT' or 'Webhook' properly, which previous Whisper models could not do.
+This model is a **fine-tuned version of Whisper-large-v2 model specifically tuned for software developers.** It transcribes words like 'ChatGPT' or 'Webhook' correctly, which previous Whisper models could not do.
 
 ## Model Details
 
@@ -63,7 +63,7 @@ Note that testing data can not be provided publicly due to the privacy issue.
 Two of the most popular metrics to assess automatic speech recognition model, WER and CER, were used. <br>
 Additionally, DSWES was used to specifically check the transcription accuracy of softwared-related words. Note that higher the DSWES, the better.
 
-For accessment, WhisperX was used as a backbone of a fine-tuned model due to its fast inference speed and its reduced size. 
+For accessment, WhisperX was used as a backbone of a fine-tuned model due to its fast inference speed and reduced size. 
 Since backbone of WhisperX is Whisper, I can safely assume that the performace of Whisper would very much similar to that of WhisperX.  
 
 ### Results