Update README.md

README.md

@@ -26,10 +26,10 @@ model-index:
     metrics:
     - name: Test WER
       type: wer
-      value: 24.09
+      value: 23.45
     - name: Test CER
       type: cer
-      value: 11.28
+      value: 11.01
 pipeline_tag: automatic-speech-recognition
 ---
 
@@ -50,8 +50,8 @@ Whosper-large-v3 is a fine-tuned version of [openai/whisper-large-v2](https://hu
 
 ## Performance Metrics
 - **Loss**: 0.4490 
-- **WER (Word Error Rate)**: 0.2409
-- **CER (Character Error Rate)**: 0.1128
+- **WER (Word Error Rate)**: 0.2345
+- **CER (Character Error Rate)**: 0.1101
 
 ## Key Features
 - Improved WER and CER compared to whosper-large