Update README.md

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 34.76977567886659
+      value: 0.3476977567886659
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,8 +33,8 @@ 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 minds14 dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.6439
-- Wer Ortho: 35.0401
-- Wer: 34.7698
+- Wer Ortho: 0.350401
+- Wer: 0.347698
 
 ## Model description
 
@@ -66,7 +66,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer     |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
-| 0.001         | 17.24 | 500  | 0.6439          | 35.0401   | 34.7698 |
+| 0.001         | 17.24 | 500  | 0.6439          | 0.350401  | 0.347698|
 
 
 ### Framework versions