update model card README.md

README.md

@@ -24,7 +24,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.34415584415584416
+      value: 0.33234946871310506
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,9 +34,9 @@ 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-1 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6315
-- Wer Ortho: 0.3467
-- Wer: 0.3442
+- Loss: 0.7355
+- Wer Ortho: 0.3313
+- Wer: 0.3323
 
 ## Model description
 
@@ -70,7 +70,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
-| 0.0008        | 17.86 | 500  | 0.6315          | 0.3467    | 0.3442 |
+| 0.0001        | 17.86 | 500  | 0.7355          | 0.3313    | 0.3323 |
 
 
 ### Framework versions