update model card README.md

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.020291693088142042
+      value: 0.023462270133164237
 ---
 
 <!-- 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 SBB Dataset 05.01.2023 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0272
-- Wer: 0.0203
+- Loss: 0.0277
+- Wer: 0.0235
 
 ## Model description
 
@@ -66,12 +66,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 1.3449        | 0.36  | 100  | 0.2160          | 0.0387 |
-| 0.0651        | 0.71  | 200  | 0.0278          | 0.0184 |
-| 0.0312        | 1.07  | 300  | 0.0316          | 0.0228 |
-| 0.019         | 1.42  | 400  | 0.0259          | 0.0209 |
-| 0.0135        | 1.78  | 500  | 0.0301          | 0.0203 |
-| 0.0091        | 2.14  | 600  | 0.0272          | 0.0203 |
+| 1.3449        | 0.36  | 100  | 0.2158          | 0.0387 |
+| 0.0647        | 0.71  | 200  | 0.0266          | 0.0197 |
+| 0.0308        | 1.07  | 300  | 0.0315          | 0.0216 |
+| 0.0188        | 1.42  | 400  | 0.0286          | 0.0197 |
+| 0.0136        | 1.78  | 500  | 0.0298          | 0.0209 |
+| 0.0089        | 2.14  | 600  | 0.0277          | 0.0235 |
 
 
 ### Framework versions