update model card README.md

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 31.79547955642089
+      value: 31.761618555828324
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2774
-- Wer: 31.7955
+- Loss: 0.2775
+- Wer: 31.7616
 
 ## Model description
 
@@ -66,10 +66,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer     |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.2094        | 0.61  | 1000 | 0.3187          | 38.6862 |
-| 0.109         | 1.22  | 2000 | 0.2814          | 34.2589 |
-| 0.1048        | 1.83  | 3000 | 0.2670          | 32.4388 |
-| 0.0526        | 2.45  | 4000 | 0.2774          | 31.7955 |
+| 0.2092        | 0.61  | 1000 | 0.3201          | 38.7666 |
+| 0.1106        | 1.22  | 2000 | 0.2810          | 34.1023 |
+| 0.1049        | 1.83  | 3000 | 0.2660          | 32.4812 |
+| 0.052         | 2.45  | 4000 | 0.2775          | 31.7616 |
 
 
 ### Framework versions