Update README.md

README.md

@@ -11,7 +11,7 @@ base_model:
 - openai/whisper-large-v3
 pipeline_tag: automatic-speech-recognition
 model-index:
-  - name: Whisper Large V3 Fine-Tuned for Air Traffic Control (ATC)
+  - name: Whisper Large v3 Fine-Tuned for Air Traffic Control (ATC)
     results:
       - task:
           type: automatic-speech-recognition
@@ -25,13 +25,13 @@ model-index:
 
 ---
 
-# Whisper Large V3 Fine-Tuned for Air Traffic Control (ATC)
+# Whisper Large v3 Fine-Tuned for Air Traffic Control (ATC)
 
 ## Model Overview
 
 This model is a fine-tuned version of OpenAI's Whisper Large v3 model, specifically trained on **Air Traffic Control (ATC)** communication datasets. The fine-tuning process significantly improves transcription accuracy on domain-specific aviation communications, achieving a Word Error Rate (WER) of 6.5% on the test set. The model is particularly effective at handling accent variations and ambiguous phrasing often encountered in ATC communications.
 
-- **Base Model**: OpenAI Large V3
+- **Base Model**: OpenAI Large v3
 - **Fine-tuned Model WER**: 6.5%
 
 ## Model Description