End of training

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 35.714285714285715
+      value: 0.35714285714285715
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,7 +31,7 @@ This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.
 It achieves the following results on the evaluation set:
 - Loss: 0.6947
 - Wer Ortho: 0.3584
-- Wer: 35.7143
+- Wer: 0.3571
 
 ## Model description
 
@@ -62,9 +62,9 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer     |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
-| 0.001         | 17.86 | 500  | 0.6947          | 0.3584    | 35.7143 |
+| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
+| 0.001         | 17.86 | 500  | 0.6947          | 0.3584    | 0.3571 |
 
 
 ### Framework versions