End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 34.120425029515935
+      value: 0.3412042502951594
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,7 +34,7 @@ This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.
 It achieves the following results on the evaluation set:
 - Loss: 0.6509
 - Wer Ortho: 34.5466
-- Wer: 34.1204
+- Wer: 0.3412
 
 ## Model description
 
@@ -64,9 +64,9 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer     |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
-| 0.0007        | 17.86 | 500  | 0.6509          | 34.5466   | 34.1204 |
+| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
+| 0.0007        | 17.86 | 500  | 0.6509          | 34.5466   | 0.3412 |
 
 
 ### Framework versions