Update README.md

README.md

@@ -24,7 +24,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 13.03
+      value: 8.44
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -35,7 +35,8 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [biodatlab/whisper-medium-th-1000iter](https://huggingface.co/biodatlab/whisper-medium-th-1000iter) on the mozilla-foundation/common_voice_11_0 th dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.1475
-- WER: 13.03
+- WER: 13.03 (without Tokenizer)
+- WER: 8.44 (with Deepcut Tokenizer)
 
 ## Model description