End of training

README.md

@@ -24,7 +24,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 13.52714121779045
+      value: 13.26285773898529
 ---
 
 <!-- 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-small](https://huggingface.co/openai/whisper-small) on the Common Voice 13 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1722
-- Wer Ortho: 63.3192
-- Wer: 13.5271
+- Loss: 0.1724
+- Wer Ortho: 62.9361
+- Wer: 13.2629
 
 ## Model description
 
@@ -71,7 +71,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer Ortho | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:---------:|:-------:|
-| 0.1207        | 1.6313 | 500  | 0.1722          | 63.3192   | 13.5271 |
+| 0.1212        | 1.6313 | 500  | 0.1724          | 62.9361   | 13.2629 |
 
 
 ### Framework versions