Update README.md

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 35.46511627906977
+      value: 0.35465116279070
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,8 +34,8 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the MInDS 14 dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.7154
-- Wer Ortho: 35.3970
-- Wer: 35.4651
+- Wer Ortho: 0.3540
+- Wer: 0.3547
 
 ## Model description
 
@@ -67,7 +67,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer     |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
-| 0.0007        | 17.86 | 500  | 0.7154          | 35.3970   | 35.4651 |
+| 0.0007        | 17.86 | 500  | 0.7154          | 0.3540    | 0.3547  |
 
 
 ### Framework versions