End of training

README.md

@@ -25,7 +25,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 14.69207497305004
+      value: 14.47125917167994
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -35,9 +35,9 @@ 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: 0.1957
-- Wer Ortho: 65.6801
-- Wer: 14.6921
+- Loss: 0.1953
+- Wer Ortho: 64.9767
+- Wer: 14.4713
 
 ## Model description
 
@@ -70,7 +70,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer Ortho | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:---------:|:-------:|
-| 0.1035        | 2.9762 | 500  | 0.1957          | 65.6801   | 14.6921 |
+| 0.1018        | 2.9762 | 500  | 0.1953          | 64.9767   | 14.4713 |
 
 
 ### Framework versions