End of training

README.md

@@ -24,7 +24,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 14.356504503251383
+      value: 12.810793893660675
 ---
 
 <!-- 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: 0.1910
-- Wer Ortho: 66.5158
-- Wer: 14.3565
+- Loss: 0.1689
+- Wer Ortho: 60.5683
+- Wer: 12.8108
 
 ## Model description
 
@@ -69,7 +69,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer Ortho | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:---------:|:-------:|
-| 0.1629        | 0.8157 | 500  | 0.1910          | 66.5158   | 14.3565 |
+| 0.0977        | 0.8157 | 500  | 0.1689          | 60.5683   | 12.8108 |
 
 
 ### Framework versions