End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 47.27307398932113
+      value: 45.91914569031274
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,9 +32,9 @@ 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: 0.6891
-- Wer Ortho: 50.2785
-- Wer: 47.2731
+- Loss: 0.6920
+- Wer Ortho: 48.8189
+- Wer: 45.9191
 
 ## Model description
 
@@ -67,7 +67,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer Ortho | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:---------:|:-------:|
-| 0.0751        | 3.1847 | 500  | 0.6891          | 50.2785   | 47.2731 |
+| 0.0754        | 3.1847 | 500  | 0.6920          | 48.8189   | 45.9191 |
 
 
 ### Framework versions