Converted WER to decimal

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 36.04651162790697
+      value: 0.3604651162790697
 ---
 
 <!-- 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 PolyAI/minds14 dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.7152
-- Wer Ortho: 36.0700
-- Wer: 36.0465
+- Wer Ortho: 0.360700
+- Wer: 0.360465
 
 ## Model description
 
@@ -66,7 +66,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer     |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
-| 0.0007        | 17.86 | 500  | 0.7152          | 36.0700   | 36.0465 |
+| 0.0007        | 17.86 | 500  | 0.7152          | 36.0700   | 0.360465|
 
 
 ### Framework versions