End of training

README.md

@@ -24,7 +24,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 13.667976492680042
+      value: 13.62798622943979
 ---
 
 <!-- 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: 0.1746
-- Wer Ortho: 63.0545
-- Wer: 13.6680
+- Loss: 0.1748
+- Wer Ortho: 63.4097
+- Wer: 13.6280
 
 ## Model description
 
@@ -69,7 +69,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer Ortho | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:---------:|:-------:|
-| 0.1201        | 1.6287 | 500  | 0.1746          | 63.0545   | 13.6680 |
+| 0.1198        | 1.6287 | 500  | 0.1748          | 63.4097   | 13.6280 |
 
 
 ### Framework versions